From 70ef474abc2111dd6be64382e3af1a4e9d3f5cae Mon Sep 17 00:00:00 2001
From: Mads Dabros <mdabros@users.noreply.github.com>
Date: Sat, 20 Jan 2024 22:39:14 +0100
Subject: [PATCH] Target netstandard2.0 for libraries, target net8 for tests,
 and switch to github actions for CI  (#147)

---
 .github/workflows/dotnet.yml                  | 44 ++++++++++++
 LICENSE.md                                    | 18 +----
 README.md                                     |  5 +-
 SharpLearning.sln                             |  5 +-
 azure-pipelines.yaml                          | 68 -------------------
 global.json                                   |  7 ++
 .../Models/ClassificationAdaBoostModelTest.cs |  7 +-
 .../Models/RegressionAdaBoostModelTest.cs     |  2 +-
 .../SharpLearning.AdaBoost.Test.csproj        | 10 +--
 .../SharpLearning.AdaBoost.csproj             |  2 +-
 .../SharpLearning.Common.Interfaces.csproj    |  2 +-
 .../SharpLearning.Containers.Test.csproj      | 10 +--
 .../SharpLearning.Containers.csproj           |  2 +-
 .../SharpLearning.CrossValidation.Test.csproj | 10 +--
 .../SharpLearning.CrossValidation.csproj      |  2 +-
 .../ClassificationDecisionTreeModelTest.cs    |  5 +-
 .../Models/RegressionDecisionTreeModelTest.cs |  5 +-
 .../SharpLearning.DecisionTrees.Test.csproj   | 10 +--
 .../SharpLearning.DecisionTrees.csproj        |  2 +-
 .../SharpLearning.Ensemble.Test.csproj        | 10 +--
 .../SharpLearning.Ensemble.csproj             |  2 +-
 ...earning.FeatureTransformations.Test.csproj | 10 +--
 ...harpLearning.FeatureTransformations.csproj |  2 +-
 .../SharpLearning.GradientBoost.Test.csproj   | 10 +--
 .../SharpLearning.GradientBoost.csproj        |  2 +-
 .../SharpLearning.InputOutput.Test.csproj     | 16 +++--
 .../SharpLearning.InputOutput.csproj          |  2 +-
 .../SharpLearning.Metrics.Test.csproj         | 10 +--
 .../SharpLearning.Metrics.csproj              |  2 +-
 .../SharpLearning.Neural.Test.csproj          | 10 +--
 .../SharpLearning.Neural.csproj               |  2 +-
 .../SharpLearning.Optimization.Test.csproj    | 10 +--
 .../SharpLearning.Optimization.csproj         |  2 +-
 .../Models/ClassificationForestModelTest.cs   |  2 +-
 .../SharpLearning.RandomForest.Test.csproj    | 10 +--
 .../SharpLearning.RandomForest.csproj         |  2 +-
 .../SharpLearning.XGBoost.Test.csproj         | 10 +--
 .../SharpLearning.XGBoost.csproj              |  2 +-
 38 files changed, 156 insertions(+), 176 deletions(-)
 create mode 100644 .github/workflows/dotnet.yml
 delete mode 100644 azure-pipelines.yaml
 create mode 100644 global.json

diff --git a/.github/workflows/dotnet.yml b/.github/workflows/dotnet.yml
new file mode 100644
index 00000000..e914c7cd
--- /dev/null
+++ b/.github/workflows/dotnet.yml
@@ -0,0 +1,44 @@
+# yaml-language-server: $schema=https://json.schemastore.org/github-workflow.json
+
+name: dotnet
+
+on:
+  push:
+    branches: [ "master" ]
+  pull_request:
+    branches: [ "master" ]
+  workflow_dispatch:
+    inputs:
+      version:
+        description: 'Release version to tag and create'
+        required: false
+
+env:
+  DOTNET_SKIP_FIRST_TIME_EXPERIENCE: 1
+  DOTNET_NOLOGO: true
+
+jobs:
+  build:
+    strategy:
+      matrix:
+        os: [windows-latest]
+        configuration: [Debug, Release]
+
+    runs-on: ${{ matrix.os }}
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Setup .NET
+      uses: actions/setup-dotnet@v3
+      with:
+        global-json-file: global.json
+    - name: Restore dependencies
+      run: dotnet restore
+    - name: Build
+      run: dotnet build -c ${{ matrix.configuration }} --no-restore 
+    - name: Test
+      run: dotnet test -c ${{ matrix.configuration }} --no-build --verbosity normal --collect:"XPlat Code Coverage"
+    - name: Upload coverage reports to Codecov
+      uses: codecov/codecov-action@v3
+      with:
+        flags: ${{ matrix.os }},${{ matrix.configuration }}
diff --git a/LICENSE.md b/LICENSE.md
index 48f9e34d..7bafb0ee 100644
--- a/LICENSE.md
+++ b/LICENSE.md
@@ -1,19 +1,6 @@
-COPYRIGHT
+MIT License
 
-All contributions by Mads Dabros:
-Copyright (c) 2014, Mads Dabros.
-All rights reserved.
-
-All other contributions:
-Copyright (c) 2017, the respective contributors.
-All rights reserved.
-
-Each contributor holds copyright over their respective contributions.
-The project versioning (Git) records all such contribution source information.
-
-LICENSE
-
-The MIT License (MIT)
+Copyright (c) 2024 mdabros
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
@@ -32,4 +19,3 @@ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 SOFTWARE.
-
diff --git a/README.md b/README.md
index 5a1c4fb2..cee9d3ba 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,7 @@
-[![Build Status](https://machinelearning.visualstudio.com/sharplearning-github-build/_apis/build/status/sharplearning-CI?branchName=master)](https://machinelearning.visualstudio.com/sharplearning-github-build/_build/latest?definitionId=28&branchName=master)
+[![Build Status](https://github.com/mdabros/SharpLearning/actions/workflows/dotnet.yml/badge.svg?branch=master)](https://github.com/mdabros/SharpLearning/actions/workflows/dotnet.yml)
+[![Nuget](https://img.shields.io/nuget/v/SharpLearning.Containers?color=purple)](https://www.nuget.org/packages/SharpLearning.Containers/)
+[![downloads](https://img.shields.io/nuget/dt/SharpLearning.Containers)](https://www.nuget.org/packages/SharpLearning.Containers)
+[![License](https://img.shields.io/github/license/mdabros/SharpLearning)](https://github.com/mdabros/SharpLearning/blob/master/LICENSE.md)
 
 SharpLearning
 =================
diff --git a/SharpLearning.sln b/SharpLearning.sln
index b278f109..7aaf6ae0 100644
--- a/SharpLearning.sln
+++ b/SharpLearning.sln
@@ -1,7 +1,7 @@
 
 Microsoft Visual Studio Solution File, Format Version 12.00
-# Visual Studio 15
-VisualStudioVersion = 15.0.26730.3
+# Visual Studio Version 17
+VisualStudioVersion = 17.8.34511.84
 MinimumVisualStudioVersion = 10.0.40219.1
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "SharpLearning.InputOutput.Test", "src\SharpLearning.InputOutput.Test\SharpLearning.InputOutput.Test.csproj", "{9B29211D-9211-4C36-872D-5747D6C51878}"
 EndProject
@@ -55,7 +55,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "SharpLearning.InputOutput",
 EndProject
 Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "Solution Items", "Solution Items", "{55C8F585-6918-4373-A349-EDF167D77FBB}"
 	ProjectSection(SolutionItems) = preProject
-		azure-pipelines.yaml = azure-pipelines.yaml
 		CONTRIBUTING.md = CONTRIBUTING.md
 		src\Directory.Build.props = src\Directory.Build.props
 		README.md = README.md
diff --git a/azure-pipelines.yaml b/azure-pipelines.yaml
deleted file mode 100644
index 496b0e1c..00000000
--- a/azure-pipelines.yaml
+++ /dev/null
@@ -1,68 +0,0 @@
-# Trigger CI only on master branch.
-trigger:
-  - master
-
-# Pull request validation against master branch only.
-pr: 
-  - master
-
-variables:
-  #buildPlatform: 'Any CPU' # specify platform ('x86', 'x64', 'Any CPU').
-  testProjectsSearchPattern: '**/*.Test.csproj'
-  
-jobs:
-- job: 'CI'
-  displayName: 'CI'
-  pool:
-    name: Hosted VS2017
-    
-  strategy:
-    matrix:
-      Debug:
-        buildConfiguration: 'Debug'
-      Release:
-        buildConfiguration: 'Release'
-        
-  steps:
-  - task: DotNetCoreCLI@2
-    displayName: Restore
-    inputs:
-      command: 'restore'
-      projects: '**/*.csproj'
-
-  - task: DotNetCoreCLI@2
-    displayName: Build
-    inputs:
-      command: build
-      projects: '**/*.csproj'
-      arguments: '--configuration $(buildConfiguration)'
-
-  - task: DotNetCoreCLI@2
-    displayName: Test
-    inputs:
-      command: test
-      projects: '$(testProjectsSearchPattern)'
-      arguments: '--configuration $(BuildConfiguration)'
-
-  - task: PublishTestResults@2
-    displayName: Publish Test Results
-    condition: succeededOrFailed()
-    inputs:
-      testRunner: VSTest
-      testResultsFiles: '**/*.trx'
-
-  - task: DotNetCoreCLI@2
-    displayName: 'dotnet pack'
-    inputs:
-      command: pack
-      packagesToPack: '**/*.csproj;-:**/*.Test.csproj'
-
-  - task: NuGetCommand@2
-    displayName: 'NuGet push'
-    inputs:
-      command: push
-      packagesToPush: '$(Build.ArtifactStagingDirectory)/*.nupkg'
-      nuGetFeedType: external
-      publishFeedCredentials: 'nuget/mdabros Api'
-    enabled: true
-    condition: and(and(succeeded(), eq(variables['Build.SourceBranch'], 'refs/heads/master')), eq(variables['buildConfiguration'], 'Release'))
diff --git a/global.json b/global.json
new file mode 100644
index 00000000..c8471613
--- /dev/null
+++ b/global.json
@@ -0,0 +1,7 @@
+{
+    "sdk": {
+        "version": "8.0.100",
+        "rollForward": "latestFeature",
+        "allowPrerelease": true
+    }
+}
\ No newline at end of file
diff --git a/src/SharpLearning.AdaBoost.Test/Models/ClassificationAdaBoostModelTest.cs b/src/SharpLearning.AdaBoost.Test/Models/ClassificationAdaBoostModelTest.cs
index c39191c9..2ad393d9 100644
--- a/src/SharpLearning.AdaBoost.Test/Models/ClassificationAdaBoostModelTest.cs
+++ b/src/SharpLearning.AdaBoost.Test/Models/ClassificationAdaBoostModelTest.cs
@@ -13,7 +13,7 @@ namespace SharpLearning.AdaBoost.Test.Models
     [TestClass]
     public class ClassificationAdaBoostModelTest
     {
-        readonly string m_classificationAdaBoostModelString = "<?xml version=\"1.0\" encoding=\"utf-16\"?>\r\n<ClassificationAdaBoostModel xmlns:i=\"http://www.w3.org/2001/XMLSchema-instance\" z:Id=\"1\" xmlns:z=\"http://schemas.microsoft.com/2003/10/Serialization/\" xmlns=\"http://schemas.datacontract.org/2004/07/SharpLearning.AdaBoost.Models\">\r\n  <m_modelWeights xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"2\" z:Size=\"2\">\r\n    <d2p1:double>1.4350845252893221</d2p1:double>\r\n    <d2p1:double>1.4163266482187662</d2p1:double>\r\n  </m_modelWeights>\r\n  <m_models xmlns:d2p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Models\" z:Id=\"3\" z:Size=\"2\">\r\n    <d2p1:ClassificationDecisionTreeModel z:Id=\"4\">\r\n      <d2p1:Tree xmlns:d4p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"5\">\r\n        <d4p1:Nodes z:Id=\"6\" z:Size=\"5\">\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>0</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>4</d4p1:RightIndex>\r\n            <d4p1:Value>20</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>2</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>1</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>3</d4p1:RightIndex>\r\n            <d4p1:Value>2.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>0</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>2</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>3</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>2</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>4</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n        </d4p1:Nodes>\r\n        <d4p1:Probabilities xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"7\" z:Size=\"3\">\r\n          <d5p1:ArrayOfdouble z:Id=\"8\" z:Size=\"2\">\r\n            <d5p1:double>0.49056603773584911</d5p1:double>\r\n            <d5p1:double>0.509433962264151</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"9\" z:Size=\"2\">\r\n            <d5p1:double>0.57534246575342463</d5p1:double>\r\n            <d5p1:double>0.42465753424657537</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"10\" z:Size=\"2\">\r\n            <d5p1:double>0.4642857142857143</d5p1:double>\r\n            <d5p1:double>0.5357142857142857</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n        </d4p1:Probabilities>\r\n        <d4p1:TargetNames xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"11\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>1</d5p1:double>\r\n        </d4p1:TargetNames>\r\n        <d4p1:VariableImportance xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"12\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>0.18033248802479651</d5p1:double>\r\n        </d4p1:VariableImportance>\r\n      </d2p1:Tree>\r\n      <d2p1:m_variableImportance xmlns:d4p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"12\" i:nil=\"true\" />\r\n    </d2p1:ClassificationDecisionTreeModel>\r\n    <d2p1:ClassificationDecisionTreeModel z:Id=\"13\">\r\n      <d2p1:Tree xmlns:d4p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"14\">\r\n        <d4p1:Nodes z:Id=\"15\" z:Size=\"7\">\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>0</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>4</d4p1:RightIndex>\r\n            <d4p1:Value>13.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>2</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>1</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>3</d4p1:RightIndex>\r\n            <d4p1:Value>4.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>0</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>2</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>3</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>5</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>4</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>6</d4p1:RightIndex>\r\n            <d4p1:Value>20</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>2</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>5</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>3</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>6</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n        </d4p1:Nodes>\r\n        <d4p1:Probabilities xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"16\" z:Size=\"4\">\r\n          <d5p1:ArrayOfdouble z:Id=\"17\" z:Size=\"2\">\r\n            <d5p1:double>0.46391752577319589</d5p1:double>\r\n            <d5p1:double>0.53608247422680411</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"18\" z:Size=\"2\">\r\n            <d5p1:double>0.55718475073313778</d5p1:double>\r\n            <d5p1:double>0.44281524926686211</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"19\" z:Size=\"2\">\r\n            <d5p1:double>0.42899408284023677</d5p1:double>\r\n            <d5p1:double>0.57100591715976334</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"20\" z:Size=\"2\">\r\n            <d5p1:double>0.4642857142857143</d5p1:double>\r\n            <d5p1:double>0.5357142857142857</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n        </d4p1:Probabilities>\r\n        <d4p1:TargetNames xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"21\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>1</d5p1:double>\r\n        </d4p1:TargetNames>\r\n        <d4p1:VariableImportance xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"22\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>0.17822779700804667</d5p1:double>\r\n        </d4p1:VariableImportance>\r\n      </d2p1:Tree>\r\n      <d2p1:m_variableImportance xmlns:d4p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"22\" i:nil=\"true\" />\r\n    </d2p1:ClassificationDecisionTreeModel>\r\n  </m_models>\r\n  <m_predictions xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"23\" z:Size=\"0\" />\r\n  <m_rawVariableImportance xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"24\" z:Size=\"2\">\r\n    <d2p1:double>0</d2p1:double>\r\n    <d2p1:double>0.51122114132712881</d2p1:double>\r\n  </m_rawVariableImportance>\r\n</ClassificationAdaBoostModel>";
+        readonly string m_classificationAdaBoostModelString = "<?xml version=\"1.0\" encoding=\"utf-16\"?>\r\n<ClassificationAdaBoostModel xmlns:i=\"http://www.w3.org/2001/XMLSchema-instance\" z:Id=\"1\" xmlns:z=\"http://schemas.microsoft.com/2003/10/Serialization/\" xmlns=\"http://schemas.datacontract.org/2004/07/SharpLearning.AdaBoost.Models\">\r\n  <m_modelWeights xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"2\" z:Size=\"2\">\r\n    <d2p1:double>1.435084525289322</d2p1:double>\r\n    <d2p1:double>1.4163266482187662</d2p1:double>\r\n  </m_modelWeights>\r\n  <m_models xmlns:d2p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Models\" z:Id=\"3\" z:Size=\"2\">\r\n    <d2p1:ClassificationDecisionTreeModel z:Id=\"4\">\r\n      <d2p1:Tree xmlns:d4p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"5\">\r\n        <d4p1:Nodes z:Id=\"6\" z:Size=\"5\">\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>0</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>4</d4p1:RightIndex>\r\n            <d4p1:Value>20</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>2</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>1</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>3</d4p1:RightIndex>\r\n            <d4p1:Value>2.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>0</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>2</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>3</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>2</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>4</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n        </d4p1:Nodes>\r\n        <d4p1:Probabilities xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"7\" z:Size=\"3\">\r\n          <d5p1:ArrayOfdouble z:Id=\"8\" z:Size=\"2\">\r\n            <d5p1:double>0.4905660377358491</d5p1:double>\r\n            <d5p1:double>0.509433962264151</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"9\" z:Size=\"2\">\r\n            <d5p1:double>0.5753424657534246</d5p1:double>\r\n            <d5p1:double>0.4246575342465754</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"10\" z:Size=\"2\">\r\n            <d5p1:double>0.4642857142857143</d5p1:double>\r\n            <d5p1:double>0.5357142857142857</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n        </d4p1:Probabilities>\r\n        <d4p1:TargetNames xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"11\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>1</d5p1:double>\r\n        </d4p1:TargetNames>\r\n        <d4p1:VariableImportance xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"12\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>0.1803324880247965</d5p1:double>\r\n        </d4p1:VariableImportance>\r\n      </d2p1:Tree>\r\n      <d2p1:m_variableImportance xmlns:d4p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"12\" i:nil=\"true\" />\r\n    </d2p1:ClassificationDecisionTreeModel>\r\n    <d2p1:ClassificationDecisionTreeModel z:Id=\"13\">\r\n      <d2p1:Tree xmlns:d4p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"14\">\r\n        <d4p1:Nodes z:Id=\"15\" z:Size=\"7\">\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>0</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>4</d4p1:RightIndex>\r\n            <d4p1:Value>13.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>2</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>1</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>3</d4p1:RightIndex>\r\n            <d4p1:Value>4.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>0</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>2</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>3</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>5</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>4</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>6</d4p1:RightIndex>\r\n            <d4p1:Value>20</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>2</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>5</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>3</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>6</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n        </d4p1:Nodes>\r\n        <d4p1:Probabilities xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"16\" z:Size=\"4\">\r\n          <d5p1:ArrayOfdouble z:Id=\"17\" z:Size=\"2\">\r\n            <d5p1:double>0.4639175257731959</d5p1:double>\r\n            <d5p1:double>0.5360824742268041</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"18\" z:Size=\"2\">\r\n            <d5p1:double>0.5571847507331378</d5p1:double>\r\n            <d5p1:double>0.4428152492668621</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"19\" z:Size=\"2\">\r\n            <d5p1:double>0.42899408284023677</d5p1:double>\r\n            <d5p1:double>0.5710059171597633</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"20\" z:Size=\"2\">\r\n            <d5p1:double>0.4642857142857143</d5p1:double>\r\n            <d5p1:double>0.5357142857142857</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n        </d4p1:Probabilities>\r\n        <d4p1:TargetNames xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"21\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>1</d5p1:double>\r\n        </d4p1:TargetNames>\r\n        <d4p1:VariableImportance xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"22\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>0.17822779700804667</d5p1:double>\r\n        </d4p1:VariableImportance>\r\n      </d2p1:Tree>\r\n      <d2p1:m_variableImportance xmlns:d4p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"22\" i:nil=\"true\" />\r\n    </d2p1:ClassificationDecisionTreeModel>\r\n  </m_models>\r\n  <m_predictions xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"23\" z:Size=\"0\" />\r\n  <m_rawVariableImportance xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"24\" z:Size=\"2\">\r\n    <d2p1:double>0</d2p1:double>\r\n    <d2p1:double>0.5112211413271288</d2p1:double>\r\n  </m_rawVariableImportance>\r\n</ClassificationAdaBoostModel>";
 
         [TestMethod]
         public void ClassificationAdaBoostModel_Predict_Single()
@@ -148,8 +148,9 @@ public void ClassificationAdaBoostModel_Save()
 
             var writer = new StringWriter();
             sut.Save(() => writer);
-            
-            Assert.AreEqual(m_classificationAdaBoostModelString, writer.ToString());
+
+            var actual = writer.ToString();
+            Assert.AreEqual(m_classificationAdaBoostModelString, actual);
         }
 
         [TestMethod]
diff --git a/src/SharpLearning.AdaBoost.Test/Models/RegressionAdaBoostModelTest.cs b/src/SharpLearning.AdaBoost.Test/Models/RegressionAdaBoostModelTest.cs
index 408119ca..26a2f8af 100644
--- a/src/SharpLearning.AdaBoost.Test/Models/RegressionAdaBoostModelTest.cs
+++ b/src/SharpLearning.AdaBoost.Test/Models/RegressionAdaBoostModelTest.cs
@@ -11,7 +11,7 @@ namespace SharpLearning.AdaBoost.Test.Models
     [TestClass]
     public class RegressionAdaBoostModelTest
     {
-        readonly string m_regressionDecisionTreeModelString = "<?xml version=\"1.0\" encoding=\"utf-16\"?>\r\n<RegressionAdaBoostModel xmlns:i=\"http://www.w3.org/2001/XMLSchema-instance\" z:Id=\"1\" xmlns:z=\"http://schemas.microsoft.com/2003/10/Serialization/\" xmlns=\"http://schemas.datacontract.org/2004/07/SharpLearning.AdaBoost.Models\">\r\n  <m_modelWeights xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"2\" z:Size=\"2\">\r\n    <d2p1:double>1.0840134892469564</d2p1:double>\r\n    <d2p1:double>1.2719860712587807</d2p1:double>\r\n  </m_modelWeights>\r\n  <m_models xmlns:d2p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Models\" z:Id=\"3\" z:Size=\"2\">\r\n    <d2p1:RegressionDecisionTreeModel z:Id=\"4\">\r\n      <d2p1:Tree xmlns:d4p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"5\">\r\n        <d4p1:Nodes z:Id=\"6\" z:Size=\"11\">\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>0</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>6</d4p1:RightIndex>\r\n            <d4p1:Value>13.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>2</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>1</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>3</d4p1:RightIndex>\r\n            <d4p1:Value>2.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>0</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>2</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>0</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>4</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>3</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>5</d4p1:RightIndex>\r\n            <d4p1:Value>1.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>4</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0.14285714285714285</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>2</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>5</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>0</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>7</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>6</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>8</d4p1:RightIndex>\r\n            <d4p1:Value>3</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>3</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>7</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>9</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>8</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>10</d4p1:RightIndex>\r\n            <d4p1:Value>17</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>4</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>9</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>5</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>10</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0.5</d4p1:Value>\r\n          </d4p1:Node>\r\n        </d4p1:Nodes>\r\n        <d4p1:Probabilities xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"7\" z:Size=\"6\">\r\n          <d5p1:ArrayOfdouble z:Id=\"8\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"9\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"10\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"11\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"12\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"13\" z:Size=\"0\" />\r\n        </d4p1:Probabilities>\r\n        <d4p1:TargetNames xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"14\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>1</d5p1:double>\r\n        </d4p1:TargetNames>\r\n        <d4p1:VariableImportance xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"15\" z:Size=\"2\">\r\n          <d5p1:double>0.10622710622710622</d5p1:double>\r\n          <d5p1:double>3.6787585479535942</d5p1:double>\r\n        </d4p1:VariableImportance>\r\n      </d2p1:Tree>\r\n      <d2p1:m_variableImportance xmlns:d4p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"15\" i:nil=\"true\" />\r\n    </d2p1:RegressionDecisionTreeModel>\r\n    <d2p1:RegressionDecisionTreeModel z:Id=\"16\">\r\n      <d2p1:Tree xmlns:d4p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"17\">\r\n        <d4p1:Nodes z:Id=\"18\" z:Size=\"7\">\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>0</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>6</d4p1:RightIndex>\r\n            <d4p1:Value>20</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>2</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>1</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>3</d4p1:RightIndex>\r\n            <d4p1:Value>4.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>0</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>2</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>4</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>3</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>5</d4p1:RightIndex>\r\n            <d4p1:Value>9.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>4</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>2</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>5</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0.21428571428571427</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>3</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>6</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n        </d4p1:Nodes>\r\n        <d4p1:Probabilities xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"19\" z:Size=\"4\">\r\n          <d5p1:ArrayOfdouble z:Id=\"20\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"21\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"22\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"23\" z:Size=\"0\" />\r\n        </d4p1:Probabilities>\r\n        <d4p1:TargetNames xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"24\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>1</d5p1:double>\r\n        </d4p1:TargetNames>\r\n        <d4p1:VariableImportance xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"25\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>2.9853081700907786</d5p1:double>\r\n        </d4p1:VariableImportance>\r\n      </d2p1:Tree>\r\n      <d2p1:m_variableImportance xmlns:d4p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"25\" i:nil=\"true\" />\r\n    </d2p1:RegressionDecisionTreeModel>\r\n  </m_models>\r\n  <m_predictions xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"26\" z:Size=\"2\">\r\n    <d2p1:double>0</d2p1:double>\r\n    <d2p1:double>0</d2p1:double>\r\n  </m_predictions>\r\n  <m_rawVariableImportance xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"27\" z:Size=\"2\">\r\n    <d2p1:double>0.11515161607385251</d2p1:double>\r\n    <d2p1:double>7.7850943004347517</d2p1:double>\r\n  </m_rawVariableImportance>\r\n</RegressionAdaBoostModel>";
+        readonly string m_regressionDecisionTreeModelString = "<?xml version=\"1.0\" encoding=\"utf-16\"?>\r\n<RegressionAdaBoostModel xmlns:i=\"http://www.w3.org/2001/XMLSchema-instance\" z:Id=\"1\" xmlns:z=\"http://schemas.microsoft.com/2003/10/Serialization/\" xmlns=\"http://schemas.datacontract.org/2004/07/SharpLearning.AdaBoost.Models\">\r\n  <m_modelWeights xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"2\" z:Size=\"2\">\r\n    <d2p1:double>1.0840134892469564</d2p1:double>\r\n    <d2p1:double>1.2719860712587807</d2p1:double>\r\n  </m_modelWeights>\r\n  <m_models xmlns:d2p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Models\" z:Id=\"3\" z:Size=\"2\">\r\n    <d2p1:RegressionDecisionTreeModel z:Id=\"4\">\r\n      <d2p1:Tree xmlns:d4p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"5\">\r\n        <d4p1:Nodes z:Id=\"6\" z:Size=\"11\">\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>0</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>6</d4p1:RightIndex>\r\n            <d4p1:Value>13.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>2</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>1</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>3</d4p1:RightIndex>\r\n            <d4p1:Value>2.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>0</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>2</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>0</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>4</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>3</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>5</d4p1:RightIndex>\r\n            <d4p1:Value>1.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>4</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0.14285714285714285</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>2</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>5</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>0</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>7</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>6</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>8</d4p1:RightIndex>\r\n            <d4p1:Value>3</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>3</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>7</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>9</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>8</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>10</d4p1:RightIndex>\r\n            <d4p1:Value>17</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>4</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>9</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>5</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>10</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0.5</d4p1:Value>\r\n          </d4p1:Node>\r\n        </d4p1:Nodes>\r\n        <d4p1:Probabilities xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"7\" z:Size=\"6\">\r\n          <d5p1:ArrayOfdouble z:Id=\"8\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"9\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"10\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"11\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"12\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"13\" z:Size=\"0\" />\r\n        </d4p1:Probabilities>\r\n        <d4p1:TargetNames xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"14\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>1</d5p1:double>\r\n        </d4p1:TargetNames>\r\n        <d4p1:VariableImportance xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"15\" z:Size=\"2\">\r\n          <d5p1:double>0.10622710622710622</d5p1:double>\r\n          <d5p1:double>3.6787585479535942</d5p1:double>\r\n        </d4p1:VariableImportance>\r\n      </d2p1:Tree>\r\n      <d2p1:m_variableImportance xmlns:d4p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"15\" i:nil=\"true\" />\r\n    </d2p1:RegressionDecisionTreeModel>\r\n    <d2p1:RegressionDecisionTreeModel z:Id=\"16\">\r\n      <d2p1:Tree xmlns:d4p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"17\">\r\n        <d4p1:Nodes z:Id=\"18\" z:Size=\"7\">\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>0</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>6</d4p1:RightIndex>\r\n            <d4p1:Value>20</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>2</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>1</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>3</d4p1:RightIndex>\r\n            <d4p1:Value>4.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>0</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>2</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>4</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>3</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>5</d4p1:RightIndex>\r\n            <d4p1:Value>9.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>4</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>2</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>5</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0.21428571428571427</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>3</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>6</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n        </d4p1:Nodes>\r\n        <d4p1:Probabilities xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"19\" z:Size=\"4\">\r\n          <d5p1:ArrayOfdouble z:Id=\"20\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"21\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"22\" z:Size=\"0\" />\r\n          <d5p1:ArrayOfdouble z:Id=\"23\" z:Size=\"0\" />\r\n        </d4p1:Probabilities>\r\n        <d4p1:TargetNames xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"24\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>1</d5p1:double>\r\n        </d4p1:TargetNames>\r\n        <d4p1:VariableImportance xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"25\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>2.9853081700907786</d5p1:double>\r\n        </d4p1:VariableImportance>\r\n      </d2p1:Tree>\r\n      <d2p1:m_variableImportance xmlns:d4p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"25\" i:nil=\"true\" />\r\n    </d2p1:RegressionDecisionTreeModel>\r\n  </m_models>\r\n  <m_predictions xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"26\" z:Size=\"2\">\r\n    <d2p1:double>0</d2p1:double>\r\n    <d2p1:double>0</d2p1:double>\r\n  </m_predictions>\r\n  <m_rawVariableImportance xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"27\" z:Size=\"2\">\r\n    <d2p1:double>0.1151516160738525</d2p1:double>\r\n    <d2p1:double>7.785094300434752</d2p1:double>\r\n  </m_rawVariableImportance>\r\n</RegressionAdaBoostModel>";
 
         [TestMethod]
         public void RegressionAdaBoostModel_Predict_Single()
diff --git a/src/SharpLearning.AdaBoost.Test/SharpLearning.AdaBoost.Test.csproj b/src/SharpLearning.AdaBoost.Test/SharpLearning.AdaBoost.Test.csproj
index 22e5c9ec..ff4ded0c 100644
--- a/src/SharpLearning.AdaBoost.Test/SharpLearning.AdaBoost.Test.csproj
+++ b/src/SharpLearning.AdaBoost.Test/SharpLearning.AdaBoost.Test.csproj
@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/src/SharpLearning.AdaBoost/SharpLearning.AdaBoost.csproj b/src/SharpLearning.AdaBoost/SharpLearning.AdaBoost.csproj
index a252b866..4c8d89bd 100644
--- a/src/SharpLearning.AdaBoost/SharpLearning.AdaBoost.csproj
+++ b/src/SharpLearning.AdaBoost/SharpLearning.AdaBoost.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.AdaBoost</PackageId>
     <Description>Provides learning algorithms and models for AdaBoost regression and classification.</Description>
diff --git a/src/SharpLearning.Common.Interfaces/SharpLearning.Common.Interfaces.csproj b/src/SharpLearning.Common.Interfaces/SharpLearning.Common.Interfaces.csproj
index 806e2b02..7d8c3491 100644
--- a/src/SharpLearning.Common.Interfaces/SharpLearning.Common.Interfaces.csproj
+++ b/src/SharpLearning.Common.Interfaces/SharpLearning.Common.Interfaces.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.Common.Interfaces</PackageId>
     <Description>Provides common interfaces for SharpLearning.</Description>
diff --git a/src/SharpLearning.Containers.Test/SharpLearning.Containers.Test.csproj b/src/SharpLearning.Containers.Test/SharpLearning.Containers.Test.csproj
index 7581562d..0a1dc7da 100644
--- a/src/SharpLearning.Containers.Test/SharpLearning.Containers.Test.csproj
+++ b/src/SharpLearning.Containers.Test/SharpLearning.Containers.Test.csproj
@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -21,9 +21,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/src/SharpLearning.Containers/SharpLearning.Containers.csproj b/src/SharpLearning.Containers/SharpLearning.Containers.csproj
index 2a2f7333..8a588e7e 100644
--- a/src/SharpLearning.Containers/SharpLearning.Containers.csproj
+++ b/src/SharpLearning.Containers/SharpLearning.Containers.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.Containers</PackageId>
     <Description>Provides containers and base extension methods for SharpLearning.</Description>
diff --git a/src/SharpLearning.CrossValidation.Test/SharpLearning.CrossValidation.Test.csproj b/src/SharpLearning.CrossValidation.Test/SharpLearning.CrossValidation.Test.csproj
index acce0774..9f55ab0c 100644
--- a/src/SharpLearning.CrossValidation.Test/SharpLearning.CrossValidation.Test.csproj
+++ b/src/SharpLearning.CrossValidation.Test/SharpLearning.CrossValidation.Test.csproj
@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
     <PackageReference Include="System.ValueTuple" Version="4.5.0" />
   </ItemGroup>
 
diff --git a/src/SharpLearning.CrossValidation/SharpLearning.CrossValidation.csproj b/src/SharpLearning.CrossValidation/SharpLearning.CrossValidation.csproj
index fdeb7a79..e02e6766 100644
--- a/src/SharpLearning.CrossValidation/SharpLearning.CrossValidation.csproj
+++ b/src/SharpLearning.CrossValidation/SharpLearning.CrossValidation.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.CrossValidation</PackageId>
     <Description>Provides cross-validation, training/test set samplers and learning curves for SharpLearning.</Description>
diff --git a/src/SharpLearning.DecisionTrees.Test/Models/ClassificationDecisionTreeModelTest.cs b/src/SharpLearning.DecisionTrees.Test/Models/ClassificationDecisionTreeModelTest.cs
index 67dd1fff..3360cd62 100644
--- a/src/SharpLearning.DecisionTrees.Test/Models/ClassificationDecisionTreeModelTest.cs
+++ b/src/SharpLearning.DecisionTrees.Test/Models/ClassificationDecisionTreeModelTest.cs
@@ -14,7 +14,7 @@ namespace SharpLearning.DecisionTrees.Test.suts
     [TestClass]
     public class ClassificationDecisionTreeModelTest
     {
-        readonly string m_classificationDecisionTreeModelString = "<?xml version=\"1.0\" encoding=\"utf-16\"?>\r\n<ClassificationDecisionTreeModel xmlns:i=\"http://www.w3.org/2001/XMLSchema-instance\" z:Id=\"1\" xmlns:z=\"http://schemas.microsoft.com/2003/10/Serialization/\" xmlns=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Models\">\r\n  <Tree xmlns:d2p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"2\">\r\n    <d2p1:Nodes z:Id=\"3\" z:Size=\"5\">\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>0</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>4</d2p1:RightIndex>\r\n        <d2p1:Value>20</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>2</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>1</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>3</d2p1:RightIndex>\r\n        <d2p1:Value>2.5</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>0</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>2</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>1</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>3</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>0</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>2</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>4</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>1</d2p1:Value>\r\n      </d2p1:Node>\r\n    </d2p1:Nodes>\r\n    <d2p1:Probabilities xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"4\" z:Size=\"3\">\r\n      <d3p1:ArrayOfdouble z:Id=\"5\" z:Size=\"2\">\r\n        <d3p1:double>0.33333333333333331</d3p1:double>\r\n        <d3p1:double>0.66666666666666663</d3p1:double>\r\n      </d3p1:ArrayOfdouble>\r\n      <d3p1:ArrayOfdouble z:Id=\"6\" z:Size=\"2\">\r\n        <d3p1:double>0.73913043478260865</d3p1:double>\r\n        <d3p1:double>0.2608695652173913</d3p1:double>\r\n      </d3p1:ArrayOfdouble>\r\n      <d3p1:ArrayOfdouble z:Id=\"7\" z:Size=\"2\">\r\n        <d3p1:double>0.16666666666666666</d3p1:double>\r\n        <d3p1:double>0.83333333333333326</d3p1:double>\r\n      </d3p1:ArrayOfdouble>\r\n    </d2p1:Probabilities>\r\n    <d2p1:TargetNames xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"8\" z:Size=\"2\">\r\n      <d3p1:double>0</d3p1:double>\r\n      <d3p1:double>1</d3p1:double>\r\n    </d2p1:TargetNames>\r\n    <d2p1:VariableImportance xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"9\" z:Size=\"2\">\r\n      <d3p1:double>0</d3p1:double>\r\n      <d3p1:double>0.18033248802479571</d3p1:double>\r\n    </d2p1:VariableImportance>\r\n  </Tree>\r\n  <m_variableImportance xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"9\" i:nil=\"true\" />\r\n</ClassificationDecisionTreeModel>";
+        readonly string m_classificationDecisionTreeModelString = "<?xml version=\"1.0\" encoding=\"utf-16\"?>\r\n<ClassificationDecisionTreeModel xmlns:i=\"http://www.w3.org/2001/XMLSchema-instance\" z:Id=\"1\" xmlns:z=\"http://schemas.microsoft.com/2003/10/Serialization/\" xmlns=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Models\">\r\n  <Tree xmlns:d2p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"2\">\r\n    <d2p1:Nodes z:Id=\"3\" z:Size=\"5\">\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>0</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>4</d2p1:RightIndex>\r\n        <d2p1:Value>20</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>2</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>1</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>3</d2p1:RightIndex>\r\n        <d2p1:Value>2.5</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>0</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>2</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>1</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>3</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>0</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>2</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>4</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>1</d2p1:Value>\r\n      </d2p1:Node>\r\n    </d2p1:Nodes>\r\n    <d2p1:Probabilities xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"4\" z:Size=\"3\">\r\n      <d3p1:ArrayOfdouble z:Id=\"5\" z:Size=\"2\">\r\n        <d3p1:double>0.3333333333333333</d3p1:double>\r\n        <d3p1:double>0.6666666666666666</d3p1:double>\r\n      </d3p1:ArrayOfdouble>\r\n      <d3p1:ArrayOfdouble z:Id=\"6\" z:Size=\"2\">\r\n        <d3p1:double>0.7391304347826086</d3p1:double>\r\n        <d3p1:double>0.2608695652173913</d3p1:double>\r\n      </d3p1:ArrayOfdouble>\r\n      <d3p1:ArrayOfdouble z:Id=\"7\" z:Size=\"2\">\r\n        <d3p1:double>0.16666666666666666</d3p1:double>\r\n        <d3p1:double>0.8333333333333333</d3p1:double>\r\n      </d3p1:ArrayOfdouble>\r\n    </d2p1:Probabilities>\r\n    <d2p1:TargetNames xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"8\" z:Size=\"2\">\r\n      <d3p1:double>0</d3p1:double>\r\n      <d3p1:double>1</d3p1:double>\r\n    </d2p1:TargetNames>\r\n    <d2p1:VariableImportance xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"9\" z:Size=\"2\">\r\n      <d3p1:double>0</d3p1:double>\r\n      <d3p1:double>0.1803324880247957</d3p1:double>\r\n    </d2p1:VariableImportance>\r\n  </Tree>\r\n  <m_variableImportance xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"9\" i:nil=\"true\" />\r\n</ClassificationDecisionTreeModel>";
 
         [TestMethod]
         public void ClassificationDecisionTreeModel_Predict_Single()
@@ -188,7 +188,8 @@ public void ClassificationDecisionTreeModel_Save()
             var writer = new StringWriter();
             sut.Save(() => writer);
             
-            Assert.AreEqual(m_classificationDecisionTreeModelString, writer.ToString());
+            var actual = writer.ToString();
+            Assert.AreEqual(m_classificationDecisionTreeModelString, actual);
         }
 
         [TestMethod]
diff --git a/src/SharpLearning.DecisionTrees.Test/Models/RegressionDecisionTreeModelTest.cs b/src/SharpLearning.DecisionTrees.Test/Models/RegressionDecisionTreeModelTest.cs
index ba779f7d..1b30118d 100644
--- a/src/SharpLearning.DecisionTrees.Test/Models/RegressionDecisionTreeModelTest.cs
+++ b/src/SharpLearning.DecisionTrees.Test/Models/RegressionDecisionTreeModelTest.cs
@@ -11,7 +11,7 @@ namespace SharpLearning.DecisionTrees.Test.Models
     [TestClass]
     public class RegressionDecisionTreeModelTest
     {
-        readonly string m_regressionDecisionTreeModelString = "<?xml version=\"1.0\" encoding=\"utf-16\"?>\r\n<RegressionDecisionTreeModel xmlns:i=\"http://www.w3.org/2001/XMLSchema-instance\" z:Id=\"1\" xmlns:z=\"http://schemas.microsoft.com/2003/10/Serialization/\" xmlns=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Models\">\r\n  <Tree xmlns:d2p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"2\">\r\n    <d2p1:Nodes z:Id=\"3\" z:Size=\"25\">\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>0</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>10</d2p1:RightIndex>\r\n        <d2p1:Value>0.397254</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>2</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>1</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>5</d2p1:RightIndex>\r\n        <d2p1:Value>0.20301550000000002</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>3</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>2</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>4</d2p1:RightIndex>\r\n        <d2p1:Value>0.14998250000000002</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>0</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>3</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>-0.054810500000000005</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>4</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>0.071894545454545447</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>6</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>5</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>7</d2p1:RightIndex>\r\n        <d2p1:Value>0.3190235</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>2</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>6</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>1.094141117647059</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>8</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>7</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>9</d2p1:RightIndex>\r\n        <d2p1:Value>0.3652945</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>3</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>8</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>0.80301928571428582</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>4</d2p1:LeafProbabilityIndex>\r\n        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<d3p1:double>1.748275</d3p1:double>\r\n      <d3p1:double>1.912047</d3p1:double>\r\n      <d3p1:double>3.710686</d3p1:double>\r\n      <d3p1:double>1.719148</d3p1:double>\r\n      <d3p1:double>2.17409</d3p1:double>\r\n      <d3p1:double>3.656357</d3p1:double>\r\n      <d3p1:double>3.522504</d3p1:double>\r\n      <d3p1:double>2.234126</d3p1:double>\r\n      <d3p1:double>1.859772</d3p1:double>\r\n      <d3p1:double>2.097017</d3p1:double>\r\n      <d3p1:double>0.001794</d3p1:double>\r\n      <d3p1:double>1.231928</d3p1:double>\r\n      <d3p1:double>2.953862</d3p1:double>\r\n      <d3p1:double>-0.116803</d3p1:double>\r\n      <d3p1:double>2.638864</d3p1:double>\r\n      <d3p1:double>3.943428</d3p1:double>\r\n      <d3p1:double>-0.328513</d3p1:double>\r\n      <d3p1:double>-0.099866</d3p1:double>\r\n      <d3p1:double>-0.030836</d3p1:double>\r\n      <d3p1:double>2.359786</d3p1:double>\r\n      <d3p1:double>3.212581</d3p1:double>\r\n      <d3p1:double>0.188975</d3p1:double>\r\n      <d3p1:double>1.904109</d3p1:double>\r\n      <d3p1:double>3.007114</d3p1:double>\r\n      <d3p1:double>3.845834</d3p1:double>\r\n      <d3p1:double>3.079411</d3p1:double>\r\n      <d3p1:double>1.939739</d3p1:double>\r\n      <d3p1:double>2.880078</d3p1:double>\r\n      <d3p1:double>3.063577</d3p1:double>\r\n      <d3p1:double>4.116296</d3p1:double>\r\n      <d3p1:double>-0.240963</d3p1:double>\r\n      <d3p1:double>4.066299</d3p1:double>\r\n      <d3p1:double>4.011834</d3p1:double>\r\n      <d3p1:double>0.07771</d3p1:double>\r\n      <d3p1:double>3.103069</d3p1:double>\r\n      <d3p1:double>2.811897</d3p1:double>\r\n      <d3p1:double>-0.10463</d3p1:double>\r\n      <d3p1:double>0.025216</d3p1:double>\r\n      <d3p1:double>4.330063</d3p1:double>\r\n      <d3p1:double>3.087091</d3p1:double>\r\n      <d3p1:double>2.269988</d3p1:double>\r\n      <d3p1:double>4.010701</d3p1:double>\r\n      <d3p1:double>3.119542</d3p1:double>\r\n      <d3p1:double>3.723411</d3p1:double>\r\n      <d3p1:double>2.792078</d3p1:double>\r\n      <d3p1:double>2.192787</d3p1:double>\r\n      <d3p1:double>2.081305</d3p1:double>\r\n      <d3p1:double>1.714463</d3p1:double>\r\n      <d3p1:double>0.885854</d3p1:double>\r\n      <d3p1:double>1.028187</d3p1:double>\r\n      <d3p1:double>1.951497</d3p1:double>\r\n      <d3p1:double>1.709427</d3p1:double>\r\n      <d3p1:double>0.144068</d3p1:double>\r\n      <d3p1:double>3.88024</d3p1:double>\r\n      <d3p1:double>0.921876</d3p1:double>\r\n      <d3p1:double>1.979316</d3p1:double>\r\n      <d3p1:double>3.085768</d3p1:double>\r\n      <d3p1:double>3.476122</d3p1:double>\r\n      <d3p1:double>3.993679</d3p1:double>\r\n      <d3p1:double>3.07788</d3p1:double>\r\n      <d3p1:double>-0.105365</d3p1:double>\r\n      <d3p1:double>-0.164703</d3p1:double>\r\n      <d3p1:double>1.096814</d3p1:double>\r\n      <d3p1:double>3.092879</d3p1:double>\r\n      <d3p1:double>2.987926</d3p1:double>\r\n      <d3p1:double>2.061264</d3p1:double>\r\n      <d3p1:double>2.746854</d3p1:double>\r\n      <d3p1:double>0.71671</d3p1:double>\r\n      <d3p1:double>0.103831</d3p1:double>\r\n      <d3p1:double>0.023776</d3p1:double>\r\n      <d3p1:double>-0.033299</d3p1:double>\r\n      <d3p1:double>1.942286</d3p1:double>\r\n      <d3p1:double>-0.006338</d3p1:double>\r\n      <d3p1:double>3.808753</d3p1:double>\r\n      <d3p1:double>0.652799</d3p1:double>\r\n      <d3p1:double>4.053747</d3p1:double>\r\n      <d3p1:double>4.56929</d3p1:double>\r\n      <d3p1:double>-0.032773</d3p1:double>\r\n      <d3p1:double>2.066236</d3p1:double>\r\n      <d3p1:double>0.222785</d3p1:double>\r\n      <d3p1:double>1.089268</d3p1:double>\r\n      <d3p1:double>1.487788</d3p1:double>\r\n      <d3p1:double>2.852033</d3p1:double>\r\n      <d3p1:double>0.024486</d3p1:double>\r\n      <d3p1:double>3.73775</d3p1:double>\r\n      <d3p1:double>0.045017</d3p1:double>\r\n      <d3p1:double>0.001238</d3p1:double>\r\n      <d3p1:double>3.892763</d3p1:double>\r\n      <d3p1:double>2.819376</d3p1:double>\r\n      <d3p1:double>2.830665</d3p1:double>\r\n      <d3p1:double>0.234633</d3p1:double>\r\n      <d3p1:double>1.810782</d3p1:double>\r\n      <d3p1:double>4.237235</d3p1:double>\r\n      <d3p1:double>3.034768</d3p1:double>\r\n      <d3p1:double>1.742106</d3p1:double>\r\n      <d3p1:double>1.16925</d3p1:double>\r\n      <d3p1:double>0.831165</d3p1:double>\r\n      <d3p1:double>3.729376</d3p1:double>\r\n      <d3p1:double>1.823205</d3p1:double>\r\n      <d3p1:double>4.02197</d3p1:double>\r\n      <d3p1:double>1.262939</d3p1:double>\r\n      <d3p1:double>4.159518</d3p1:double>\r\n      <d3p1:double>2.039114</d3p1:double>\r\n      <d3p1:double>4.101837</d3p1:double>\r\n      <d3p1:double>2.778672</d3p1:double>\r\n      <d3p1:double>1.228284</d3p1:double>\r\n      <d3p1:double>1.73662</d3p1:double>\r\n      <d3p1:double>-0.195046</d3p1:double>\r\n      <d3p1:double>-0.063215</d3p1:double>\r\n      <d3p1:double>3.305268</d3p1:double>\r\n      <d3p1:double>2.063627</d3p1:double>\r\n      <d3p1:double>0.89884</d3p1:double>\r\n      <d3p1:double>2.701692</d3p1:double>\r\n      <d3p1:double>1.992909</d3p1:double>\r\n      <d3p1:double>3.811393</d3p1:double>\r\n      <d3p1:double>4.353857</d3p1:double>\r\n      <d3p1:double>2.635641</d3p1:double>\r\n      <d3p1:double>2.856311</d3p1:double>\r\n      <d3p1:double>1.352682</d3p1:double>\r\n      <d3p1:double>2.336459</d3p1:double>\r\n      <d3p1:double>2.111651</d3p1:double>\r\n      <d3p1:double>0.121726</d3p1:double>\r\n      <d3p1:double>3.264605</d3p1:double>\r\n      <d3p1:double>2.103446</d3p1:double>\r\n      <d3p1:double>0.896855</d3p1:double>\r\n      <d3p1:double>4.22085</d3p1:double>\r\n      <d3p1:double>-0.217283</d3p1:double>\r\n      <d3p1:double>-0.300577</d3p1:double>\r\n      <d3p1:double>0.006014</d3p1:double>\r\n    </d2p1:TargetNames>\r\n    <d2p1:VariableImportance xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"19\" z:Size=\"2\">\r\n      <d3p1:double>0</d3p1:double>\r\n      <d3p1:double>364.5635685044051</d3p1:double>\r\n    </d2p1:VariableImportance>\r\n  </Tree>\r\n  <m_variableImportance xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"19\" i:nil=\"true\" />\r\n</RegressionDecisionTreeModel>";
 
         [TestMethod]
         public void RegressionDecisionTreeModel_Predict_Single()
@@ -116,7 +116,8 @@ public void RegressionDecisionTreeModel_Save()
             var writer = new StringWriter();
             sut.Save(() => writer);
 
-            Assert.AreEqual(m_regressionDecisionTreeModelString, writer.ToString());
+            var actual = writer.ToString();
+            Assert.AreEqual(m_regressionDecisionTreeModelString, actual);
         }
 
         [TestMethod]
diff --git a/src/SharpLearning.DecisionTrees.Test/SharpLearning.DecisionTrees.Test.csproj b/src/SharpLearning.DecisionTrees.Test/SharpLearning.DecisionTrees.Test.csproj
index 6821c263..39f0f469 100644
--- a/src/SharpLearning.DecisionTrees.Test/SharpLearning.DecisionTrees.Test.csproj
+++ b/src/SharpLearning.DecisionTrees.Test/SharpLearning.DecisionTrees.Test.csproj
@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/src/SharpLearning.DecisionTrees/SharpLearning.DecisionTrees.csproj b/src/SharpLearning.DecisionTrees/SharpLearning.DecisionTrees.csproj
index 72fd0965..0e259117 100644
--- a/src/SharpLearning.DecisionTrees/SharpLearning.DecisionTrees.csproj
+++ b/src/SharpLearning.DecisionTrees/SharpLearning.DecisionTrees.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.DecisionTrees</PackageId>
     <Description>Provides learning algorithms and models for DecisionTree regression and classification.</Description>
diff --git a/src/SharpLearning.Ensemble.Test/SharpLearning.Ensemble.Test.csproj b/src/SharpLearning.Ensemble.Test/SharpLearning.Ensemble.Test.csproj
index 3bd29c42..81e5f05b 100644
--- a/src/SharpLearning.Ensemble.Test/SharpLearning.Ensemble.Test.csproj
+++ b/src/SharpLearning.Ensemble.Test/SharpLearning.Ensemble.Test.csproj
@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/src/SharpLearning.Ensemble/SharpLearning.Ensemble.csproj b/src/SharpLearning.Ensemble/SharpLearning.Ensemble.csproj
index 617ab5d2..7de1ade1 100644
--- a/src/SharpLearning.Ensemble/SharpLearning.Ensemble.csproj
+++ b/src/SharpLearning.Ensemble/SharpLearning.Ensemble.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.Ensemble</PackageId>
     <Description>Provides ensemble learning for regression and classification.</Description>
diff --git a/src/SharpLearning.FeatureTransformations.Test/SharpLearning.FeatureTransformations.Test.csproj b/src/SharpLearning.FeatureTransformations.Test/SharpLearning.FeatureTransformations.Test.csproj
index 8356faaf..8488113d 100644
--- a/src/SharpLearning.FeatureTransformations.Test/SharpLearning.FeatureTransformations.Test.csproj
+++ b/src/SharpLearning.FeatureTransformations.Test/SharpLearning.FeatureTransformations.Test.csproj
@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/src/SharpLearning.FeatureTransformations/SharpLearning.FeatureTransformations.csproj b/src/SharpLearning.FeatureTransformations/SharpLearning.FeatureTransformations.csproj
index e08724b9..4a1a9292 100644
--- a/src/SharpLearning.FeatureTransformations/SharpLearning.FeatureTransformations.csproj
+++ b/src/SharpLearning.FeatureTransformations/SharpLearning.FeatureTransformations.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.FeatureTransformations</PackageId>
     <Description>Provides matrix and CsvRow transforms.</Description>
diff --git a/src/SharpLearning.GradientBoost.Test/SharpLearning.GradientBoost.Test.csproj b/src/SharpLearning.GradientBoost.Test/SharpLearning.GradientBoost.Test.csproj
index 5f6fcf91..0e959d97 100644
--- a/src/SharpLearning.GradientBoost.Test/SharpLearning.GradientBoost.Test.csproj
+++ b/src/SharpLearning.GradientBoost.Test/SharpLearning.GradientBoost.Test.csproj
@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/src/SharpLearning.GradientBoost/SharpLearning.GradientBoost.csproj b/src/SharpLearning.GradientBoost/SharpLearning.GradientBoost.csproj
index 92c1d334..43804b5a 100644
--- a/src/SharpLearning.GradientBoost/SharpLearning.GradientBoost.csproj
+++ b/src/SharpLearning.GradientBoost/SharpLearning.GradientBoost.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.GradientBoost</PackageId>
     <Description>Provides learning algorithms and models for GradientBoost regression and classification.</Description>
diff --git a/src/SharpLearning.InputOutput.Test/SharpLearning.InputOutput.Test.csproj b/src/SharpLearning.InputOutput.Test/SharpLearning.InputOutput.Test.csproj
index ab91ade3..d803c525 100644
--- a/src/SharpLearning.InputOutput.Test/SharpLearning.InputOutput.Test.csproj
+++ b/src/SharpLearning.InputOutput.Test/SharpLearning.InputOutput.Test.csproj
@@ -1,11 +1,17 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
+  <!--Enables the use of unsafe BinaryFormatterSerialization. See:
+  https://learn.microsoft.com/en-us/dotnet/core/compatibility/serialization/7.0/binaryformatter-apis-produce-errors#recommended-action-->
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <EnableUnsafeBinaryFormatterSerialization>true</EnableUnsafeBinaryFormatterSerialization>
+  </PropertyGroup>
+  
+  <PropertyGroup>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +25,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/src/SharpLearning.InputOutput/SharpLearning.InputOutput.csproj b/src/SharpLearning.InputOutput/SharpLearning.InputOutput.csproj
index a9879cfc..fe6e1dbb 100644
--- a/src/SharpLearning.InputOutput/SharpLearning.InputOutput.csproj
+++ b/src/SharpLearning.InputOutput/SharpLearning.InputOutput.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.InputOutput</PackageId>
     <Description>Provides CsvParser and serialization for SharpLearning.</Description>
diff --git a/src/SharpLearning.Metrics.Test/SharpLearning.Metrics.Test.csproj b/src/SharpLearning.Metrics.Test/SharpLearning.Metrics.Test.csproj
index 529c1737..348eee26 100644
--- a/src/SharpLearning.Metrics.Test/SharpLearning.Metrics.Test.csproj
+++ b/src/SharpLearning.Metrics.Test/SharpLearning.Metrics.Test.csproj
@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/src/SharpLearning.Metrics/SharpLearning.Metrics.csproj b/src/SharpLearning.Metrics/SharpLearning.Metrics.csproj
index 951c93f6..eb5e025a 100644
--- a/src/SharpLearning.Metrics/SharpLearning.Metrics.csproj
+++ b/src/SharpLearning.Metrics/SharpLearning.Metrics.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.Metrics</PackageId>
     <Description>Provides classification, regression, impurity and ranking metrics.</Description>
diff --git a/src/SharpLearning.Neural.Test/SharpLearning.Neural.Test.csproj b/src/SharpLearning.Neural.Test/SharpLearning.Neural.Test.csproj
index 36d83350..467ff291 100644
--- a/src/SharpLearning.Neural.Test/SharpLearning.Neural.Test.csproj
+++ b/src/SharpLearning.Neural.Test/SharpLearning.Neural.Test.csproj
@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -21,9 +21,9 @@
   <ItemGroup>
     <PackageReference Include="MathNet.Numerics" Version="4.8.1" />
     <PackageReference Include="MathNet.Numerics.MKL.Win" Version="2.3.0" />
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/src/SharpLearning.Neural/SharpLearning.Neural.csproj b/src/SharpLearning.Neural/SharpLearning.Neural.csproj
index fea0d1b0..185f068a 100644
--- a/src/SharpLearning.Neural/SharpLearning.Neural.csproj
+++ b/src/SharpLearning.Neural/SharpLearning.Neural.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.Neural</PackageId>
     <Description>Provides learning algorithms and models for neural net regression and classification.</Description>
diff --git a/src/SharpLearning.Optimization.Test/SharpLearning.Optimization.Test.csproj b/src/SharpLearning.Optimization.Test/SharpLearning.Optimization.Test.csproj
index 7afeaade..7a65cdb4 100644
--- a/src/SharpLearning.Optimization.Test/SharpLearning.Optimization.Test.csproj
+++ b/src/SharpLearning.Optimization.Test/SharpLearning.Optimization.Test.csproj
@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/src/SharpLearning.Optimization/SharpLearning.Optimization.csproj b/src/SharpLearning.Optimization/SharpLearning.Optimization.csproj
index fdaa9b0b..942af76c 100644
--- a/src/SharpLearning.Optimization/SharpLearning.Optimization.csproj
+++ b/src/SharpLearning.Optimization/SharpLearning.Optimization.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.Optimization</PackageId>
     <Description>Provides optimization algorithms.</Description>
diff --git a/src/SharpLearning.RandomForest.Test/Models/ClassificationForestModelTest.cs b/src/SharpLearning.RandomForest.Test/Models/ClassificationForestModelTest.cs
index cc506208..76764950 100644
--- a/src/SharpLearning.RandomForest.Test/Models/ClassificationForestModelTest.cs
+++ b/src/SharpLearning.RandomForest.Test/Models/ClassificationForestModelTest.cs
@@ -15,7 +15,7 @@ public class ClassificationForestModelTest
     {
         readonly double m_delta = 0.0000001;
         readonly string m_classificationForestModelString =
-            "<?xml version=\"1.0\" encoding=\"utf-16\"?>\r\n<ClassificationForestModel xmlns:i=\"http://www.w3.org/2001/XMLSchema-instance\" z:Id=\"1\" xmlns:z=\"http://schemas.microsoft.com/2003/10/Serialization/\" xmlns=\"http://schemas.datacontract.org/2004/07/SharpLearning.RandomForest.Models\">\r\n  <_x003C_Trees_x003E_k__BackingField xmlns:d2p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Models\" z:Id=\"2\" z:Size=\"2\">\r\n    <d2p1:ClassificationDecisionTreeModel z:Id=\"3\">\r\n      <d2p1:Tree xmlns:d4p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"4\">\r\n        <d4p1:Nodes z:Id=\"5\" z:Size=\"7\">\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>0</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>0</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>4</d4p1:RightIndex>\r\n            <d4p1:Value>3.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>2</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>1</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>3</d4p1:RightIndex>\r\n            <d4p1:Value>13.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>0</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>2</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>3</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>5</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>4</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>6</d4p1:RightIndex>\r\n            <d4p1:Value>17</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>2</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>5</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>3</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>6</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n        </d4p1:Nodes>\r\n        <d4p1:Probabilities xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"6\" z:Size=\"4\">\r\n          <d5p1:ArrayOfdouble z:Id=\"7\" z:Size=\"2\">\r\n            <d5p1:double>0.9</d5p1:double>\r\n            <d5p1:double>0.1</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"8\" z:Size=\"2\">\r\n            <d5p1:double>0.55555555555555558</d5p1:double>\r\n            <d5p1:double>0.44444444444444442</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"9\" z:Size=\"2\">\r\n            <d5p1:double>0.42857142857142855</d5p1:double>\r\n            <d5p1:double>0.5714285714285714</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"10\" z:Size=\"2\">\r\n            <d5p1:double>0.5</d5p1:double>\r\n            <d5p1:double>0.5</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n        </d4p1:Probabilities>\r\n        <d4p1:TargetNames xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"11\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>1</d5p1:double>\r\n        </d4p1:TargetNames>\r\n        <d4p1:VariableImportance xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"12\" z:Size=\"2\">\r\n          <d5p1:double>0.058257127487896736</d5p1:double>\r\n          <d5p1:double>0.054845154845154849</d5p1:double>\r\n        </d4p1:VariableImportance>\r\n      </d2p1:Tree>\r\n      <d2p1:m_variableImportance xmlns:d4p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"12\" i:nil=\"true\" />\r\n    </d2p1:ClassificationDecisionTreeModel>\r\n    <d2p1:ClassificationDecisionTreeModel z:Id=\"13\">\r\n      <d2p1:Tree xmlns:d4p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"14\">\r\n        <d4p1:Nodes z:Id=\"15\" z:Size=\"7\">\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>0</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>6</d4p1:RightIndex>\r\n            <d4p1:Value>20</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>2</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>1</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>3</d4p1:RightIndex>\r\n            <d4p1:Value>9.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>0</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>2</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>0</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>4</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>3</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>5</d4p1:RightIndex>\r\n            <d4p1:Value>2</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>4</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>2</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>5</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>3</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>6</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n        </d4p1:Nodes>\r\n        <d4p1:Probabilities xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"16\" z:Size=\"4\">\r\n          <d5p1:ArrayOfdouble z:Id=\"17\" z:Size=\"2\">\r\n            <d5p1:double>0.81818181818181823</d5p1:double>\r\n            <d5p1:double>0.18181818181818182</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"18\" z:Size=\"2\">\r\n            <d5p1:double>0.42857142857142855</d5p1:double>\r\n            <d5p1:double>0.5714285714285714</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"19\" z:Size=\"2\">\r\n            <d5p1:double>0.66666666666666663</d5p1:double>\r\n            <d5p1:double>0.33333333333333331</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"20\" z:Size=\"2\">\r\n            <d5p1:double>0.14285714285714285</d5p1:double>\r\n            <d5p1:double>0.8571428571428571</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n        </d4p1:Probabilities>\r\n        <d4p1:TargetNames xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"21\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>1</d5p1:double>\r\n        </d4p1:TargetNames>\r\n        <d4p1:VariableImportance xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"22\" z:Size=\"2\">\r\n          <d5p1:double>0.022161172161172173</d5p1:double>\r\n          <d5p1:double>0.19543063773833011</d5p1:double>\r\n        </d4p1:VariableImportance>\r\n      </d2p1:Tree>\r\n      <d2p1:m_variableImportance xmlns:d4p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"22\" i:nil=\"true\" />\r\n    </d2p1:ClassificationDecisionTreeModel>\r\n  </_x003C_Trees_x003E_k__BackingField>\r\n  <m_rawVariableImportance xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"23\" z:Size=\"2\">\r\n    <d2p1:double>0.080418299649068908</d2p1:double>\r\n    <d2p1:double>0.250275792583485</d2p1:double>\r\n  </m_rawVariableImportance>\r\n</ClassificationForestModel>";
+            "<?xml version=\"1.0\" encoding=\"utf-16\"?>\r\n<ClassificationForestModel xmlns:i=\"http://www.w3.org/2001/XMLSchema-instance\" z:Id=\"1\" xmlns:z=\"http://schemas.microsoft.com/2003/10/Serialization/\" xmlns=\"http://schemas.datacontract.org/2004/07/SharpLearning.RandomForest.Models\">\r\n  <_x003C_Trees_x003E_k__BackingField xmlns:d2p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Models\" z:Id=\"2\" z:Size=\"2\">\r\n    <d2p1:ClassificationDecisionTreeModel z:Id=\"3\">\r\n      <d2p1:Tree xmlns:d4p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"4\">\r\n        <d4p1:Nodes z:Id=\"5\" z:Size=\"7\">\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>0</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>0</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>4</d4p1:RightIndex>\r\n            <d4p1:Value>3.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>2</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>1</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>3</d4p1:RightIndex>\r\n            <d4p1:Value>13.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>0</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>2</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>3</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>5</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>4</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>6</d4p1:RightIndex>\r\n            <d4p1:Value>17</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>2</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>5</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>3</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>6</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n        </d4p1:Nodes>\r\n        <d4p1:Probabilities xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"6\" z:Size=\"4\">\r\n          <d5p1:ArrayOfdouble z:Id=\"7\" z:Size=\"2\">\r\n            <d5p1:double>0.9</d5p1:double>\r\n            <d5p1:double>0.1</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"8\" z:Size=\"2\">\r\n            <d5p1:double>0.5555555555555556</d5p1:double>\r\n            <d5p1:double>0.4444444444444444</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"9\" z:Size=\"2\">\r\n            <d5p1:double>0.42857142857142855</d5p1:double>\r\n            <d5p1:double>0.5714285714285714</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"10\" z:Size=\"2\">\r\n            <d5p1:double>0.5</d5p1:double>\r\n            <d5p1:double>0.5</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n        </d4p1:Probabilities>\r\n        <d4p1:TargetNames xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"11\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>1</d5p1:double>\r\n        </d4p1:TargetNames>\r\n        <d4p1:VariableImportance xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"12\" z:Size=\"2\">\r\n          <d5p1:double>0.058257127487896736</d5p1:double>\r\n          <d5p1:double>0.05484515484515485</d5p1:double>\r\n        </d4p1:VariableImportance>\r\n      </d2p1:Tree>\r\n      <d2p1:m_variableImportance xmlns:d4p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"12\" i:nil=\"true\" />\r\n    </d2p1:ClassificationDecisionTreeModel>\r\n    <d2p1:ClassificationDecisionTreeModel z:Id=\"13\">\r\n      <d2p1:Tree xmlns:d4p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"14\">\r\n        <d4p1:Nodes z:Id=\"15\" z:Size=\"7\">\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>0</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>6</d4p1:RightIndex>\r\n            <d4p1:Value>20</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>2</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>1</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>3</d4p1:RightIndex>\r\n            <d4p1:Value>9.5</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>0</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>2</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>0</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>-1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>4</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>3</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>5</d4p1:RightIndex>\r\n            <d4p1:Value>2</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>1</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>4</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>2</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>5</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>0</d4p1:Value>\r\n          </d4p1:Node>\r\n          <d4p1:Node>\r\n            <d4p1:FeatureIndex>-1</d4p1:FeatureIndex>\r\n            <d4p1:LeafProbabilityIndex>3</d4p1:LeafProbabilityIndex>\r\n            <d4p1:LeftIndex>-1</d4p1:LeftIndex>\r\n            <d4p1:NodeIndex>6</d4p1:NodeIndex>\r\n            <d4p1:RightIndex>-1</d4p1:RightIndex>\r\n            <d4p1:Value>1</d4p1:Value>\r\n          </d4p1:Node>\r\n        </d4p1:Nodes>\r\n        <d4p1:Probabilities xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"16\" z:Size=\"4\">\r\n          <d5p1:ArrayOfdouble z:Id=\"17\" z:Size=\"2\">\r\n            <d5p1:double>0.8181818181818182</d5p1:double>\r\n            <d5p1:double>0.18181818181818182</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"18\" z:Size=\"2\">\r\n            <d5p1:double>0.42857142857142855</d5p1:double>\r\n            <d5p1:double>0.5714285714285714</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"19\" z:Size=\"2\">\r\n            <d5p1:double>0.6666666666666666</d5p1:double>\r\n            <d5p1:double>0.3333333333333333</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n          <d5p1:ArrayOfdouble z:Id=\"20\" z:Size=\"2\">\r\n            <d5p1:double>0.14285714285714285</d5p1:double>\r\n            <d5p1:double>0.8571428571428571</d5p1:double>\r\n          </d5p1:ArrayOfdouble>\r\n        </d4p1:Probabilities>\r\n        <d4p1:TargetNames xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"21\" z:Size=\"2\">\r\n          <d5p1:double>0</d5p1:double>\r\n          <d5p1:double>1</d5p1:double>\r\n        </d4p1:TargetNames>\r\n        <d4p1:VariableImportance xmlns:d5p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"22\" z:Size=\"2\">\r\n          <d5p1:double>0.022161172161172173</d5p1:double>\r\n          <d5p1:double>0.1954306377383301</d5p1:double>\r\n        </d4p1:VariableImportance>\r\n      </d2p1:Tree>\r\n      <d2p1:m_variableImportance xmlns:d4p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"22\" i:nil=\"true\" />\r\n    </d2p1:ClassificationDecisionTreeModel>\r\n  </_x003C_Trees_x003E_k__BackingField>\r\n  <m_rawVariableImportance xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"23\" z:Size=\"2\">\r\n    <d2p1:double>0.08041829964906891</d2p1:double>\r\n    <d2p1:double>0.250275792583485</d2p1:double>\r\n  </m_rawVariableImportance>\r\n</ClassificationForestModel>";
 
         [TestMethod]
         public void ClassificationForestModel_Predict_Single()
diff --git a/src/SharpLearning.RandomForest.Test/SharpLearning.RandomForest.Test.csproj b/src/SharpLearning.RandomForest.Test/SharpLearning.RandomForest.Test.csproj
index 9ee1d743..5b5d6fde 100644
--- a/src/SharpLearning.RandomForest.Test/SharpLearning.RandomForest.Test.csproj
+++ b/src/SharpLearning.RandomForest.Test/SharpLearning.RandomForest.Test.csproj
@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/src/SharpLearning.RandomForest/SharpLearning.RandomForest.csproj b/src/SharpLearning.RandomForest/SharpLearning.RandomForest.csproj
index a7e91f57..589f7a56 100644
--- a/src/SharpLearning.RandomForest/SharpLearning.RandomForest.csproj
+++ b/src/SharpLearning.RandomForest/SharpLearning.RandomForest.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.RandomForest</PackageId>
     <Description>Provides learning algorithms and models for RandomForest and ExtraTrees regression and classification.</Description>
diff --git a/src/SharpLearning.XGBoost.Test/SharpLearning.XGBoost.Test.csproj b/src/SharpLearning.XGBoost.Test/SharpLearning.XGBoost.Test.csproj
index 80a0e1b2..c724e9d5 100644
--- a/src/SharpLearning.XGBoost.Test/SharpLearning.XGBoost.Test.csproj
+++ b/src/SharpLearning.XGBoost.Test/SharpLearning.XGBoost.Test.csproj
@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/src/SharpLearning.XGBoost/SharpLearning.XGBoost.csproj b/src/SharpLearning.XGBoost/SharpLearning.XGBoost.csproj
index d66ecd47..9b37fbb7 100644
--- a/src/SharpLearning.XGBoost/SharpLearning.XGBoost.csproj
+++ b/src/SharpLearning.XGBoost/SharpLearning.XGBoost.csproj
@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>true</GeneratePackageOnBuild>
     <PackageId>SharpLearning.XGBoost</PackageId>
     <Description>Provides learning algorithms and models for XGBoost regression and classification.</Description>