From 1bd73042b5899f7f187ed7bbe8e4cccfdf7b0be5 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <modassir2024@gmail.com>
Date: Thu, 13 Oct 2022 17:19:51 +0530
Subject: [PATCH 01/55] Fixes: #{6551}

---
 machine_learning/xgboostclassifier.py | 54 +++++++++++++++++++++++++++
 1 file changed, 54 insertions(+)
 create mode 100644 machine_learning/xgboostclassifier.py

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
new file mode 100644
index 000000000000..0707eb130002
--- /dev/null
+++ b/machine_learning/xgboostclassifier.py
@@ -0,0 +1,54 @@
+# -*- coding: utf-8 -*-
+"""xgboostclassifier.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1UlMmSrfKLuRW9LPCz6BvDDJMPgPhO-yu
+"""
+
+# XGBoost Classifier Example
+from matplotlib import pyplot as plt
+from sklearn.datasets import load_iris
+from xgboost import XGBClassifier
+from sklearn.metrics import plot_confusion_matrix
+from sklearn.model_selection import train_test_split
+
+
+def main():
+
+    """
+    The Url for the algorithm
+    https://xgboost.readthedocs.io/en/stable/
+    Iris type dataset is used to demonstrate algorithm.
+    """
+
+    # Load Iris dataset
+    iris = load_iris()
+
+    # Split dataset into train and test data
+    x = iris["data"]  # features
+    y = iris["target"]
+    x_train, x_test, y_train, y_test = train_test_split(
+        x, y, test_size=0.3, random_state=1
+    )
+
+    # XGBoost Classifier
+    xgb = XGBClassifier()
+    xgb.fit(x_train, y_train)
+
+    # Display Confusion Matrix of Classifier
+    plot_confusion_matrix(
+        xgb,
+        x_test,
+        y_test,
+        display_labels=iris["target_names"],
+        cmap="Blues",
+        normalize="true",
+    )
+    plt.title("Normalized Confusion Matrix - IRIS Dataset")
+    plt.show()
+
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file

From 89906411eedef25ff9b4d066ed590becfb1093d3 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Thu, 13 Oct 2022 17:23:19 +0530
Subject: [PATCH 02/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 11 +----------
 1 file changed, 1 insertion(+), 10 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 0707eb130002..dfd502b99e6c 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -1,12 +1,3 @@
-# -*- coding: utf-8 -*-
-"""xgboostclassifier.ipynb
-
-Automatically generated by Colaboratory.
-
-Original file is located at
-    https://colab.research.google.com/drive/1UlMmSrfKLuRW9LPCz6BvDDJMPgPhO-yu
-"""
-
 # XGBoost Classifier Example
 from matplotlib import pyplot as plt
 from sklearn.datasets import load_iris
@@ -51,4 +42,4 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
\ No newline at end of file
+    main()

From 5feb35b2a42cd139e4904a210640acd75a328b8e Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 13 Oct 2022 11:54:45 +0000
Subject: [PATCH 03/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index dfd502b99e6c..27e2e9c0bbeb 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -1,9 +1,9 @@
 # XGBoost Classifier Example
 from matplotlib import pyplot as plt
 from sklearn.datasets import load_iris
-from xgboost import XGBClassifier
 from sklearn.metrics import plot_confusion_matrix
 from sklearn.model_selection import train_test_split
+from xgboost import XGBClassifier
 
 
 def main():

From a927e9719448d3f6eac20cb6c6502d8a3a0a24f1 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Thu, 13 Oct 2022 17:29:20 +0530
Subject: [PATCH 04/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 27e2e9c0bbeb..bc04edb6dab7 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -29,6 +29,7 @@ def main():
     xgb.fit(x_train, y_train)
 
     # Display Confusion Matrix of Classifier
+    #with both train and test sets
     plot_confusion_matrix(
         xgb,
         x_test,
@@ -39,6 +40,8 @@ def main():
     )
     plt.title("Normalized Confusion Matrix - IRIS Dataset")
     plt.show()
+    
+    return None
 
 
 if __name__ == "__main__":

From aaaf39807b7b0ace65775be5ae346bd8c1dc0d5c Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Thu, 13 Oct 2022 17:30:39 +0530
Subject: [PATCH 05/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index bc04edb6dab7..7151db11928b 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -6,7 +6,7 @@
 from xgboost import XGBClassifier
 
 
-def main():
+def main(): -> None:
 
     """
     The Url for the algorithm
@@ -40,8 +40,7 @@ def main():
     )
     plt.title("Normalized Confusion Matrix - IRIS Dataset")
     plt.show()
-    
-    return None
+  
 
 
 if __name__ == "__main__":

From 06a9025e021cae2b0c51b8bccc64f72ce1d7c2c2 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Thu, 13 Oct 2022 17:31:42 +0530
Subject: [PATCH 06/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 7151db11928b..e9c50bb3e6c7 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -6,7 +6,7 @@
 from xgboost import XGBClassifier
 
 
-def main(): -> None:
+def main() -> None:
 
     """
     The Url for the algorithm

From 0decdf8b4df1d9ed2454170bb836ead509b8e969 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 13 Oct 2022 12:05:04 +0000
Subject: [PATCH 07/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index e9c50bb3e6c7..12dbff53d64e 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -29,7 +29,7 @@ def main() -> None:
     xgb.fit(x_train, y_train)
 
     # Display Confusion Matrix of Classifier
-    #with both train and test sets
+    # with both train and test sets
     plot_confusion_matrix(
         xgb,
         x_test,
@@ -40,7 +40,6 @@ def main() -> None:
     )
     plt.title("Normalized Confusion Matrix - IRIS Dataset")
     plt.show()
-  
 
 
 if __name__ == "__main__":

From d795ac42af4e9e01c3efd1e29ac1103cbb68d620 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Thu, 13 Oct 2022 17:59:35 +0530
Subject: [PATCH 08/55] Fixes: #{6551}

---
 machine_learning/xgboostclassifier.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 12dbff53d64e..04e4318757e8 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -23,7 +23,6 @@ def main() -> None:
     x_train, x_test, y_train, y_test = train_test_split(
         x, y, test_size=0.3, random_state=1
     )
-
     # XGBoost Classifier
     xgb = XGBClassifier()
     xgb.fit(x_train, y_train)

From e16b32bd1638ac5422f3f2894a232f73ca31c806 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 14 Oct 2022 20:55:54 +0530
Subject: [PATCH 09/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 25 +++++++++++++++++--------
 1 file changed, 17 insertions(+), 8 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 04e4318757e8..c98d29d9d710 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -5,6 +5,18 @@
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
 
+def data_handling():
+    iris=load_iris()
+    # Split dataset into train and test data
+    x = iris["data"]  # features
+    y = iris["target"]
+    return x,y
+    
+def XGBoost(features,target):
+    classifier=XGBClassifier()
+    classifier.fit(features,target)
+    return classifier
+    
 
 def main() -> None:
 
@@ -15,17 +27,14 @@ def main() -> None:
     """
 
     # Load Iris dataset
-    iris = load_iris()
-
-    # Split dataset into train and test data
-    x = iris["data"]  # features
-    y = iris["target"]
+    features,target = data_handling()
     x_train, x_test, y_train, y_test = train_test_split(
-        x, y, test_size=0.3, random_state=1
+        features, target, test_size=0.25, random_state=1
     )
+
+    
     # XGBoost Classifier
-    xgb = XGBClassifier()
-    xgb.fit(x_train, y_train)
+    xgb = XGBoost(x_train, y_train)
 
     # Display Confusion Matrix of Classifier
     # with both train and test sets

From f797b34d624269bcb9974c42e0f7b0245f195089 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 14 Oct 2022 15:26:56 +0000
Subject: [PATCH 10/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 19 ++++++++++---------
 1 file changed, 10 insertions(+), 9 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index c98d29d9d710..84e6a9df5e69 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -5,18 +5,20 @@
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
 
+
 def data_handling():
-    iris=load_iris()
+    iris = load_iris()
     # Split dataset into train and test data
     x = iris["data"]  # features
     y = iris["target"]
-    return x,y
-    
-def XGBoost(features,target):
-    classifier=XGBClassifier()
-    classifier.fit(features,target)
+    return x, y
+
+
+def XGBoost(features, target):
+    classifier = XGBClassifier()
+    classifier.fit(features, target)
     return classifier
-    
+
 
 def main() -> None:
 
@@ -27,12 +29,11 @@ def main() -> None:
     """
 
     # Load Iris dataset
-    features,target = data_handling()
+    features, target = data_handling()
     x_train, x_test, y_train, y_test = train_test_split(
         features, target, test_size=0.25, random_state=1
     )
 
-    
     # XGBoost Classifier
     xgb = XGBoost(x_train, y_train)
 

From bd88865dcaddcdec96629a97ff4df0dd77914930 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 14 Oct 2022 21:03:45 +0530
Subject: [PATCH 11/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 84e6a9df5e69..74187a49e4d8 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -6,15 +6,14 @@
 from xgboost import XGBClassifier
 
 
-def data_handling():
-    iris = load_iris()
+def data_handling(data):
     # Split dataset into train and test data
-    x = iris["data"]  # features
-    y = iris["target"]
+    x = data["data"]  # features
+    y = data["target"]
     return x, y
 
 
-def XGBoost(features, target):
+def xgboost(features, target):
     classifier = XGBClassifier()
     classifier.fit(features, target)
     return classifier
@@ -29,13 +28,14 @@ def main() -> None:
     """
 
     # Load Iris dataset
-    features, target = data_handling()
+    iris=load_iris()
+    features, target = data_handling(iris)
     x_train, x_test, y_train, y_test = train_test_split(
         features, target, test_size=0.25, random_state=1
     )
 
     # XGBoost Classifier
-    xgb = XGBoost(x_train, y_train)
+    xgb = xgboost(x_train, y_train)
 
     # Display Confusion Matrix of Classifier
     # with both train and test sets

From 3cbd77bf640f473dba7655b08d477fc32efa31be Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 14 Oct 2022 15:34:41 +0000
Subject: [PATCH 12/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 74187a49e4d8..a7094c79f19f 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -28,7 +28,7 @@ def main() -> None:
     """
 
     # Load Iris dataset
-    iris=load_iris()
+    iris = load_iris()
     features, target = data_handling(iris)
     x_train, x_test, y_train, y_test = train_test_split(
         features, target, test_size=0.25, random_state=1

From 06b698112a824dbd5e8c1cca49dbe433cec92c87 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 14 Oct 2022 21:18:13 +0530
Subject: [PATCH 13/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index a7094c79f19f..1e9a4bb6b5cf 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -4,9 +4,10 @@
 from sklearn.metrics import plot_confusion_matrix
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
+from doctest import testmod
 
 
-def data_handling(data):
+def data_handling(data) -> list:
     # Split dataset into train and test data
     x = data["data"]  # features
     y = data["target"]
@@ -52,4 +53,4 @@ def main() -> None:
 
 
 if __name__ == "__main__":
-    main()
+    testmod(name ='main', verbose = True)

From 051981420ece472fbf3ac0edf53c83749bf66f6b Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 14 Oct 2022 15:50:20 +0000
Subject: [PATCH 14/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 1e9a4bb6b5cf..fcfd1dd52eb2 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -1,10 +1,11 @@
 # XGBoost Classifier Example
+from doctest import testmod
+
 from matplotlib import pyplot as plt
 from sklearn.datasets import load_iris
 from sklearn.metrics import plot_confusion_matrix
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
-from doctest import testmod
 
 
 def data_handling(data) -> list:
@@ -53,4 +54,4 @@ def main() -> None:
 
 
 if __name__ == "__main__":
-    testmod(name ='main', verbose = True)
+    testmod(name="main", verbose=True)

From bc690ddb2b9921ab7e2c2f2ea6c3abd29b47c8d6 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 14 Oct 2022 21:30:35 +0530
Subject: [PATCH 15/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index fcfd1dd52eb2..f6e71483d0f7 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -1,6 +1,4 @@
 # XGBoost Classifier Example
-from doctest import testmod
-
 from matplotlib import pyplot as plt
 from sklearn.datasets import load_iris
 from sklearn.metrics import plot_confusion_matrix
@@ -8,14 +6,14 @@
 from xgboost import XGBClassifier
 
 
-def data_handling(data) -> list:
+def data_handling(data: list) -> tuple:
     # Split dataset into train and test data
     x = data["data"]  # features
     y = data["target"]
     return x, y
 
 
-def xgboost(features, target):
+def xgboost(features: list, target: list):
     classifier = XGBClassifier()
     classifier.fit(features, target)
     return classifier
@@ -54,4 +52,4 @@ def main() -> None:
 
 
 if __name__ == "__main__":
-    testmod(name="main", verbose=True)
+    main()

From 3b899b102bfc8358a48dc123e347c1ffa34fdde5 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 14 Oct 2022 22:02:31 +0530
Subject: [PATCH 16/55] Fixes : #6551

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index f6e71483d0f7..9225cf2546aa 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -6,7 +6,7 @@
 from xgboost import XGBClassifier
 
 
-def data_handling(data: list) -> tuple:
+def data_handling(data: list) -> tuple[int,str]:
     # Split dataset into train and test data
     x = data["data"]  # features
     y = data["target"]

From 8c111ca313a4969d09b825da1692de1bfcc7cf74 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 14 Oct 2022 16:33:46 +0000
Subject: [PATCH 17/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 9225cf2546aa..ce2c1ea78d94 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -6,7 +6,7 @@
 from xgboost import XGBClassifier
 
 
-def data_handling(data: list) -> tuple[int,str]:
+def data_handling(data: list) -> tuple[int, str]:
     # Split dataset into train and test data
     x = data["data"]  # features
     y = data["target"]

From 08cf249c120df8829e07847a9781973f2b0a615c Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 14 Oct 2022 22:09:33 +0530
Subject: [PATCH 18/55] Fixes : #6551

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index ce2c1ea78d94..307bf04d33d4 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -6,7 +6,7 @@
 from xgboost import XGBClassifier
 
 
-def data_handling(data: list) -> tuple[int, str]:
+def data_handling(data: list) -> tuple[list, list]:
     # Split dataset into train and test data
     x = data["data"]  # features
     y = data["target"]

From c282905ff9e1f3616eabb987f5d43527c66afd68 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 14 Oct 2022 22:13:33 +0530
Subject: [PATCH 19/55] Fixes : #6551

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 307bf04d33d4..f6e71483d0f7 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -6,7 +6,7 @@
 from xgboost import XGBClassifier
 
 
-def data_handling(data: list) -> tuple[list, list]:
+def data_handling(data: list) -> tuple:
     # Split dataset into train and test data
     x = data["data"]  # features
     y = data["target"]

From 776162d7ce58c8981f77ca4cbcd89c9d8b24467a Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 14 Oct 2022 22:48:31 +0530
Subject: [PATCH 20/55] Fixes: #6551

---
 machine_learning/xgboostclassifier.py | 46 ++++++++++++---------------
 1 file changed, 21 insertions(+), 25 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index f6e71483d0f7..4b33cfe923bc 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -6,18 +6,27 @@
 from xgboost import XGBClassifier
 
 
-def data_handling(data: list) -> tuple:
+def data_handling(data: list) -> tuple[list,list,list]:
     # Split dataset into train and test data
-    x = data["data"]  # features
-    y = data["target"]
-    return x, y
+    x=(data["data"],data["target"],data['target_names']) #data is features
+    return x
 
 
-def xgboost(features: list, target: list):
+def xgboost(features: list, target: list,test_features: list,test_targets: list,namesofflowers: list) -> None:
     classifier = XGBClassifier()
     classifier.fit(features, target)
-    return classifier
-
+    # Display Confusion Matrix of Classifier
+    # with both train and test sets
+    plot_confusion_matrix(
+        classifier,
+        test_features,
+        test_targets,
+        display_labels=namesofflowers,
+        cmap="Blues",
+        normalize="true",
+    )
+    plt.title("Normalized Confusion Matrix - IRIS Dataset")
+    plt.show()
 
 def main() -> None:
 
@@ -29,27 +38,14 @@ def main() -> None:
 
     # Load Iris dataset
     iris = load_iris()
-    features, target = data_handling(iris)
+    
+    features, target, names = data_handling(iris)
+    
     x_train, x_test, y_train, y_test = train_test_split(
-        features, target, test_size=0.25, random_state=1
-    )
+        features, target, test_size=0.25)
 
     # XGBoost Classifier
-    xgb = xgboost(x_train, y_train)
-
-    # Display Confusion Matrix of Classifier
-    # with both train and test sets
-    plot_confusion_matrix(
-        xgb,
-        x_test,
-        y_test,
-        display_labels=iris["target_names"],
-        cmap="Blues",
-        normalize="true",
-    )
-    plt.title("Normalized Confusion Matrix - IRIS Dataset")
-    plt.show()
-
+    xgboost(x_train, y_train,x_test,y_test,names)
 
 if __name__ == "__main__":
     main()

From 93f1c64d0be45b0ecb38760555a1886a0364e72d Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 14 Oct 2022 17:19:34 +0000
Subject: [PATCH 21/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 23 ++++++++++++++++-------
 1 file changed, 16 insertions(+), 7 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 4b33cfe923bc..9d21aa78c396 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -6,13 +6,19 @@
 from xgboost import XGBClassifier
 
 
-def data_handling(data: list) -> tuple[list,list,list]:
+def data_handling(data: list) -> tuple[list, list, list]:
     # Split dataset into train and test data
-    x=(data["data"],data["target"],data['target_names']) #data is features
+    x = (data["data"], data["target"], data["target_names"])  # data is features
     return x
 
 
-def xgboost(features: list, target: list,test_features: list,test_targets: list,namesofflowers: list) -> None:
+def xgboost(
+    features: list,
+    target: list,
+    test_features: list,
+    test_targets: list,
+    namesofflowers: list,
+) -> None:
     classifier = XGBClassifier()
     classifier.fit(features, target)
     # Display Confusion Matrix of Classifier
@@ -28,6 +34,7 @@ def xgboost(features: list, target: list,test_features: list,test_targets: list,
     plt.title("Normalized Confusion Matrix - IRIS Dataset")
     plt.show()
 
+
 def main() -> None:
 
     """
@@ -38,14 +45,16 @@ def main() -> None:
 
     # Load Iris dataset
     iris = load_iris()
-    
+
     features, target, names = data_handling(iris)
-    
+
     x_train, x_test, y_train, y_test = train_test_split(
-        features, target, test_size=0.25)
+        features, target, test_size=0.25
+    )
 
     # XGBoost Classifier
-    xgboost(x_train, y_train,x_test,y_test,names)
+    xgboost(x_train, y_train, x_test, y_test, names)
+
 
 if __name__ == "__main__":
     main()

From 49a6223410aecbcce858f54532c013916422ef36 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Sat, 15 Oct 2022 00:13:19 +0530
Subject: [PATCH 22/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 9d21aa78c396..151f72c3d711 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -6,7 +6,7 @@
 from xgboost import XGBClassifier
 
 
-def data_handling(data: list) -> tuple[list, list, list]:
+def data_handling(data: list) -> tuple:
     # Split dataset into train and test data
     x = (data["data"], data["target"], data["target_names"])  # data is features
     return x

From 147bfd4aaef023edf59da1bcb8c139e463b8967e Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Sat, 15 Oct 2022 00:17:55 +0530
Subject: [PATCH 23/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 151f72c3d711..cbe17e718e7c 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -6,7 +6,7 @@
 from xgboost import XGBClassifier
 
 
-def data_handling(data: list) -> tuple:
+def data_handling(data) -> tuple:
     # Split dataset into train and test data
     x = (data["data"], data["target"], data["target_names"])  # data is features
     return x

From 44516837faea77e2e37dc4a6229bf5e9af6fe493 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Sat, 15 Oct 2022 00:33:56 +0530
Subject: [PATCH 24/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index cbe17e718e7c..abf39097a406 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -4,9 +4,10 @@
 from sklearn.metrics import plot_confusion_matrix
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
+from doctest import testmod
 
 
-def data_handling(data) -> tuple:
+def data_handling(data : dict) -> tuple[array,array,array]:
     # Split dataset into train and test data
     x = (data["data"], data["target"], data["target_names"])  # data is features
     return x
@@ -57,4 +58,6 @@ def main() -> None:
 
 
 if __name__ == "__main__":
+    testmod(name ='main', verbose = True)
+    testmod(name ='xgboost', verbose = True)
     main()

From 489822d24c544264154fa6a54d63bd4a40a79e80 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 14 Oct 2022 19:06:07 +0000
Subject: [PATCH 25/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index abf39097a406..7c939cff43d2 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -1,13 +1,14 @@
 # XGBoost Classifier Example
+from doctest import testmod
+
 from matplotlib import pyplot as plt
 from sklearn.datasets import load_iris
 from sklearn.metrics import plot_confusion_matrix
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
-from doctest import testmod
 
 
-def data_handling(data : dict) -> tuple[array,array,array]:
+def data_handling(data: dict) -> tuple[array, array, array]:
     # Split dataset into train and test data
     x = (data["data"], data["target"], data["target_names"])  # data is features
     return x
@@ -58,6 +59,6 @@ def main() -> None:
 
 
 if __name__ == "__main__":
-    testmod(name ='main', verbose = True)
-    testmod(name ='xgboost', verbose = True)
+    testmod(name="main", verbose=True)
+    testmod(name="xgboost", verbose=True)
     main()

From 844b4be23e27ae655bf5ab4a8873998d1aef7c4d Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Sat, 15 Oct 2022 00:41:31 +0530
Subject: [PATCH 26/55] Fixes: #6551

---
 machine_learning/xgboostclassifier.py | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 7c939cff43d2..cbfe8d13ed9f 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -1,6 +1,4 @@
 # XGBoost Classifier Example
-from doctest import testmod
-
 from matplotlib import pyplot as plt
 from sklearn.datasets import load_iris
 from sklearn.metrics import plot_confusion_matrix
@@ -8,7 +6,7 @@
 from xgboost import XGBClassifier
 
 
-def data_handling(data: dict) -> tuple[array, array, array]:
+def data_handling(data: dict) -> tuple:
     # Split dataset into train and test data
     x = (data["data"], data["target"], data["target_names"])  # data is features
     return x
@@ -59,6 +57,7 @@ def main() -> None:
 
 
 if __name__ == "__main__":
-    testmod(name="main", verbose=True)
-    testmod(name="xgboost", verbose=True)
+    doctest.testmod(name="main", verbose=True)
+    doctest.testmod(name="xgboost", verbose=True)
+    doctest.testmod(name="data_handling", verbose=True)
     main()

From 79603f77b2937677ddac54e094541f1b7ddd6893 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Sat, 15 Oct 2022 00:45:30 +0530
Subject: [PATCH 27/55] Fixes #6551

---
 machine_learning/xgboostclassifier.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index cbfe8d13ed9f..35a8d90eb244 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -4,6 +4,7 @@
 from sklearn.metrics import plot_confusion_matrix
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
+import doctest
 
 
 def data_handling(data: dict) -> tuple:

From 5751029f023e9ab0227599db24d0e73ab401b50e Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 14 Oct 2022 19:16:24 +0000
Subject: [PATCH 28/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 35a8d90eb244..150b3ab1680b 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -1,10 +1,11 @@
 # XGBoost Classifier Example
+import doctest
+
 from matplotlib import pyplot as plt
 from sklearn.datasets import load_iris
 from sklearn.metrics import plot_confusion_matrix
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
-import doctest
 
 
 def data_handling(data: dict) -> tuple:

From 9e77f6433284813e2240b66c6eb9ed1728a4c25b Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Sat, 15 Oct 2022 00:52:14 +0530
Subject: [PATCH 29/55] Fixes: {#6551}

---
 machine_learning/xgboostclassifier.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 150b3ab1680b..c434f3715e67 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -1,6 +1,4 @@
 # XGBoost Classifier Example
-import doctest
-
 from matplotlib import pyplot as plt
 from sklearn.datasets import load_iris
 from sklearn.metrics import plot_confusion_matrix
@@ -59,7 +57,8 @@ def main() -> None:
 
 
 if __name__ == "__main__":
+    import doctest
     doctest.testmod(name="main", verbose=True)
     doctest.testmod(name="xgboost", verbose=True)
     doctest.testmod(name="data_handling", verbose=True)
-    main()
+    #main()

From 0ccc63fe11e28450187515c3661114194643957b Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 14 Oct 2022 19:23:10 +0000
Subject: [PATCH 30/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index c434f3715e67..263f5cfb65a6 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -58,7 +58,8 @@ def main() -> None:
 
 if __name__ == "__main__":
     import doctest
+
     doctest.testmod(name="main", verbose=True)
     doctest.testmod(name="xgboost", verbose=True)
     doctest.testmod(name="data_handling", verbose=True)
-    #main()
+    # main()

From f44646b2b7dadbb7f6a519baf7584a8ee212b3b1 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Sat, 15 Oct 2022 01:33:59 +0530
Subject: [PATCH 31/55] Fixes: {#6551}

---
 machine_learning/xgboostclassifier.py | 41 ++++++++++++---------------
 1 file changed, 18 insertions(+), 23 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 263f5cfb65a6..fe2df38753fb 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -12,29 +12,11 @@ def data_handling(data: dict) -> tuple:
     return x
 
 
-def xgboost(
-    features: list,
-    target: list,
-    test_features: list,
-    test_targets: list,
-    namesofflowers: list,
-) -> None:
+def xgboost(features: list,target: list) # -> returns a trained model:
     classifier = XGBClassifier()
     classifier.fit(features, target)
-    # Display Confusion Matrix of Classifier
-    # with both train and test sets
-    plot_confusion_matrix(
-        classifier,
-        test_features,
-        test_targets,
-        display_labels=namesofflowers,
-        cmap="Blues",
-        normalize="true",
-    )
-    plt.title("Normalized Confusion Matrix - IRIS Dataset")
-    plt.show()
-
-
+    return classifier
+    
 def main() -> None:
 
     """
@@ -53,7 +35,20 @@ def main() -> None:
     )
 
     # XGBoost Classifier
-    xgboost(x_train, y_train, x_test, y_test, names)
+    xgb=xgboost(x_train, y_train)
+    
+    # Display Confusion Matrix of Classifier
+    # with both train and test sets
+    plot_confusion_matrix(
+        classifier,
+        x_test,
+        y_test,
+        display_labels=names,
+        cmap="Blues",
+        normalize="true",
+    )
+    plt.title("Normalized Confusion Matrix - IRIS Dataset")
+    plt.show()
 
 
 if __name__ == "__main__":
@@ -62,4 +57,4 @@ def main() -> None:
     doctest.testmod(name="main", verbose=True)
     doctest.testmod(name="xgboost", verbose=True)
     doctest.testmod(name="data_handling", verbose=True)
-    # main()
+    #main()

From ccf61cdcc89690d0325e38fba2e346c295e3f45a Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 14 Oct 2022 20:04:54 +0000
Subject: [PATCH 32/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index fe2df38753fb..0b8ba07a74a8 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -16,7 +16,7 @@ def xgboost(features: list,target: list) # -> returns a trained model:
     classifier = XGBClassifier()
     classifier.fit(features, target)
     return classifier
-    
+
 def main() -> None:
 
     """
@@ -36,7 +36,7 @@ def main() -> None:
 
     # XGBoost Classifier
     xgb=xgboost(x_train, y_train)
-    
+
     # Display Confusion Matrix of Classifier
     # with both train and test sets
     plot_confusion_matrix(

From 9c0bbff8e86ac4b474992fbc61ec17eae8007ff8 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Sat, 15 Oct 2022 01:36:18 +0530
Subject: [PATCH 33/55] Fixes: #6551

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 0b8ba07a74a8..5045827c12d5 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -12,7 +12,7 @@ def data_handling(data: dict) -> tuple:
     return x
 
 
-def xgboost(features: list,target: list) # -> returns a trained model:
+def xgboost(features: list,target: list) :# -> returns a trained model:
     classifier = XGBClassifier()
     classifier.fit(features, target)
     return classifier

From 34d7dc333a34ca6864860ac3ae3da5e5d7de1e6b Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 14 Oct 2022 20:07:13 +0000
Subject: [PATCH 34/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 5045827c12d5..146aedb20678 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -12,11 +12,12 @@ def data_handling(data: dict) -> tuple:
     return x
 
 
-def xgboost(features: list,target: list) :# -> returns a trained model:
+def xgboost(features: list, target: list):  # -> returns a trained model:
     classifier = XGBClassifier()
     classifier.fit(features, target)
     return classifier
 
+
 def main() -> None:
 
     """
@@ -35,7 +36,7 @@ def main() -> None:
     )
 
     # XGBoost Classifier
-    xgb=xgboost(x_train, y_train)
+    xgb = xgboost(x_train, y_train)
 
     # Display Confusion Matrix of Classifier
     # with both train and test sets
@@ -57,4 +58,4 @@ def main() -> None:
     doctest.testmod(name="main", verbose=True)
     doctest.testmod(name="xgboost", verbose=True)
     doctest.testmod(name="data_handling", verbose=True)
-    #main()
+    # main()

From 6d134592beba9e95f3f3466be91e1b6325e3a5ab Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Sat, 15 Oct 2022 01:41:54 +0530
Subject: [PATCH 35/55] FIXES: {#6551}

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 146aedb20678..1b72fd5df41b 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -41,7 +41,7 @@ def main() -> None:
     # Display Confusion Matrix of Classifier
     # with both train and test sets
     plot_confusion_matrix(
-        classifier,
+        xgb,
         x_test,
         y_test,
         display_labels=names,

From 80d86c1524834ab132fa3cb8f3c426749fe34003 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Thu, 20 Oct 2022 00:35:31 +0530
Subject: [PATCH 36/55] Fixes : { #6551}

---
 machine_learning/xgboostclassifier.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 1b72fd5df41b..e27825f84ad9 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -8,7 +8,9 @@
 
 def data_handling(data: dict) -> tuple:
     # Split dataset into train and test data
-    x = (data["data"], data["target"], data["target_names"])  # data is features
+    features = data["data"] # data is features
+    target = data["target"]
+    x=(train_test_split(features, target, test_size=0.25))
     return x
 
 
@@ -29,11 +31,9 @@ def main() -> None:
     # Load Iris dataset
     iris = load_iris()
 
-    features, target, names = data_handling(iris)
+    names = iris["target_names"]
 
-    x_train, x_test, y_train, y_test = train_test_split(
-        features, target, test_size=0.25
-    )
+    x_train, x_test, y_train, y_test = data_handling(iris) 
 
     # XGBoost Classifier
     xgb = xgboost(x_train, y_train)
@@ -58,4 +58,4 @@ def main() -> None:
     doctest.testmod(name="main", verbose=True)
     doctest.testmod(name="xgboost", verbose=True)
     doctest.testmod(name="data_handling", verbose=True)
-    # main()
+    main()

From 5f9cae84af0eb38b6141bcb2f52bcde7ec246506 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 19 Oct 2022 19:07:39 +0000
Subject: [PATCH 37/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index e27825f84ad9..5df7bd3a15d2 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -8,9 +8,9 @@
 
 def data_handling(data: dict) -> tuple:
     # Split dataset into train and test data
-    features = data["data"] # data is features
+    features = data["data"]  # data is features
     target = data["target"]
-    x=(train_test_split(features, target, test_size=0.25))
+    x = train_test_split(features, target, test_size=0.25)
     return x
 
 
@@ -33,7 +33,7 @@ def main() -> None:
 
     names = iris["target_names"]
 
-    x_train, x_test, y_train, y_test = data_handling(iris) 
+    x_train, x_test, y_train, y_test = data_handling(iris)
 
     # XGBoost Classifier
     xgb = xgboost(x_train, y_train)

From 22d8913364e248d3b99c175e4df38f5c462278a9 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Thu, 20 Oct 2022 04:30:50 +0530
Subject: [PATCH 38/55] Fixes : { #6551}

---
 machine_learning/xgboostclassifier.py | 23 ++++++++++++++++++-----
 1 file changed, 18 insertions(+), 5 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 5df7bd3a15d2..4f136472f3dc 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -4,17 +4,27 @@
 from sklearn.metrics import plot_confusion_matrix
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
+import numpy as np
 
 
 def data_handling(data: dict) -> tuple:
     # Split dataset into train and test data
-    features = data["data"]  # data is features
-    target = data["target"]
-    x = train_test_split(features, target, test_size=0.25)
+    # data is features
+    """
+    >>> data_handling(({'data':'[5.1, 3.5, 1.4, 0.2],[4.6, 3.4, 1.4, 0.3]','target':([0,1])}))
+    ('[5.1, 3.5, 1.4, 0.2],[4.6, 3.4, 1.4, 0.3]', [0, 1])
+    >>> data_handling({'data':'[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2],[4.6, 3.1, 1.5, 0.2],[5. , 3.6, 1.4, 0.2],[5.4, 3.9, 1.7, 0.4]','target':([0,0, 0, 0, 0])})
+    ('[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2],[4.6, 3.1, 1.5, 0.2],[5. , 3.6, 1.4, 0.2],[5.4, 3.9, 1.7, 0.4]', [0, 0, 0, 0, 0])
+    """
+    x = (data["data"],data["target"])
     return x
 
 
-def xgboost(features: list, target: list):  # -> returns a trained model:
+def xgboost(features: np.ndarray, target: np.ndarray): -> XGBClassifier:
+    """
+    >>> xgboost(np.array([[5.1, 3.5, 1.4, 0.2],[4.6, 3.4, 1.4, 0.3]]), np.array([1,2]))
+    XGBClassifier()
+    """
     classifier = XGBClassifier()
     classifier.fit(features, target)
     return classifier
@@ -23,6 +33,8 @@ def xgboost(features: list, target: list):  # -> returns a trained model:
 def main() -> None:
 
     """
+    >>> main()
+
     The Url for the algorithm
     https://xgboost.readthedocs.io/en/stable/
     Iris type dataset is used to demonstrate algorithm.
@@ -30,10 +42,11 @@ def main() -> None:
 
     # Load Iris dataset
     iris = load_iris()
+    features,targets= data_handling(iris)
+    x_train, x_test, y_train, y_test=train_test_split(features, targets, test_size=0.25)
 
     names = iris["target_names"]
 
-    x_train, x_test, y_train, y_test = data_handling(iris)
 
     # XGBoost Classifier
     xgb = xgboost(x_train, y_train)

From 3f369875ba709313309e62b51805ee6e70f8a7bf Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 19 Oct 2022 23:02:26 +0000
Subject: [PATCH 39/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 4f136472f3dc..21399ad936fd 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -1,10 +1,10 @@
 # XGBoost Classifier Example
+import numpy as np
 from matplotlib import pyplot as plt
 from sklearn.datasets import load_iris
 from sklearn.metrics import plot_confusion_matrix
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
-import numpy as np
 
 
 def data_handling(data: dict) -> tuple:

From a357282d613a72692b217ed9158b18b22010fafb Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Thu, 20 Oct 2022 04:34:51 +0530
Subject: [PATCH 40/55] Fixes: { #6551]

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 21399ad936fd..25ab08febc33 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -20,7 +20,7 @@ def data_handling(data: dict) -> tuple:
     return x
 
 
-def xgboost(features: np.ndarray, target: np.ndarray): -> XGBClassifier:
+def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
     """
     >>> xgboost(np.array([[5.1, 3.5, 1.4, 0.2],[4.6, 3.4, 1.4, 0.3]]), np.array([1,2]))
     XGBClassifier()

From ae11a525e307ea98e859f32cd704cd635c6b7ef2 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 19 Oct 2022 23:07:06 +0000
Subject: [PATCH 41/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 25ab08febc33..e796c1f36e7d 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -16,7 +16,7 @@ def data_handling(data: dict) -> tuple:
     >>> data_handling({'data':'[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2],[4.6, 3.1, 1.5, 0.2],[5. , 3.6, 1.4, 0.2],[5.4, 3.9, 1.7, 0.4]','target':([0,0, 0, 0, 0])})
     ('[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2],[4.6, 3.1, 1.5, 0.2],[5. , 3.6, 1.4, 0.2],[5.4, 3.9, 1.7, 0.4]', [0, 0, 0, 0, 0])
     """
-    x = (data["data"],data["target"])
+    x = (data["data"], data["target"])
     return x
 
 
@@ -42,12 +42,13 @@ def main() -> None:
 
     # Load Iris dataset
     iris = load_iris()
-    features,targets= data_handling(iris)
-    x_train, x_test, y_train, y_test=train_test_split(features, targets, test_size=0.25)
+    features, targets = data_handling(iris)
+    x_train, x_test, y_train, y_test = train_test_split(
+        features, targets, test_size=0.25
+    )
 
     names = iris["target_names"]
 
-
     # XGBoost Classifier
     xgb = xgboost(x_train, y_train)
 

From 8a423299413dac5c2c70d668b10f30813d166b42 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Thu, 20 Oct 2022 04:45:43 +0530
Subject: [PATCH 42/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index e796c1f36e7d..0fc9def48b21 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -11,10 +11,10 @@ def data_handling(data: dict) -> tuple:
     # Split dataset into train and test data
     # data is features
     """
-    >>> data_handling(({'data':'[5.1, 3.5, 1.4, 0.2],[4.6, 3.4, 1.4, 0.3]','target':([0,1])}))
+    >>> data_handling(({'data':'[5.1, 3.5, 1.4, 0.2]','target':([0])}))
     ('[5.1, 3.5, 1.4, 0.2],[4.6, 3.4, 1.4, 0.3]', [0, 1])
-    >>> data_handling({'data':'[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2],[4.6, 3.1, 1.5, 0.2],[5. , 3.6, 1.4, 0.2],[5.4, 3.9, 1.7, 0.4]','target':([0,0, 0, 0, 0])})
-    ('[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2],[4.6, 3.1, 1.5, 0.2],[5. , 3.6, 1.4, 0.2],[5.4, 3.9, 1.7, 0.4]', [0, 0, 0, 0, 0])
+    >>> data_handling({'data':'[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2],[4.6, 3.1, 1.5, 0.2]','target':([0,0, 0])})
+    ('[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2],[4.6, 3.1, 1.5, 0.2]', [0, 0, 0])
     """
     x = (data["data"], data["target"])
     return x
@@ -22,7 +22,7 @@ def data_handling(data: dict) -> tuple:
 
 def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
     """
-    >>> xgboost(np.array([[5.1, 3.5, 1.4, 0.2],[4.6, 3.4, 1.4, 0.3]]), np.array([1,2]))
+    >>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2],[4.6, 3.4, 1.4, 0.7]]), np.array([1,2]))
     XGBClassifier()
     """
     classifier = XGBClassifier()

From d9cded2fe6da8758ee341e908a25d94217d20152 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Thu, 20 Oct 2022 04:56:34 +0530
Subject: [PATCH 43/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 0fc9def48b21..b8de930e75b2 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -12,8 +12,8 @@ def data_handling(data: dict) -> tuple:
     # data is features
     """
     >>> data_handling(({'data':'[5.1, 3.5, 1.4, 0.2]','target':([0])}))
-    ('[5.1, 3.5, 1.4, 0.2],[4.6, 3.4, 1.4, 0.3]', [0, 1])
-    >>> data_handling({'data':'[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2],[4.6, 3.1, 1.5, 0.2]','target':([0,0, 0])})
+    ('[5.1, 3.5, 1.4, 0.2]', [0])
+    >>> data_handling({'data':'[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2]','target':([0, 0])})
     ('[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2],[4.6, 3.1, 1.5, 0.2]', [0, 0, 0])
     """
     x = (data["data"], data["target"])

From 682943f84a7164b3c51839226b2d1559ae877d5e Mon Sep 17 00:00:00 2001
From: Christian Clauss <cclauss@me.com>
Date: Thu, 20 Oct 2022 08:48:49 +0200
Subject: [PATCH 44/55] Apply suggestions from code review

---
 machine_learning/xgboostclassifier.py | 24 ++++++++++--------------
 1 file changed, 10 insertions(+), 14 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index b8de930e75b2..606ee67873cf 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -13,11 +13,12 @@ def data_handling(data: dict) -> tuple:
     """
     >>> data_handling(({'data':'[5.1, 3.5, 1.4, 0.2]','target':([0])}))
     ('[5.1, 3.5, 1.4, 0.2]', [0])
-    >>> data_handling({'data':'[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2]','target':([0, 0])})
+    >>> data_handling(
+    ...     {'data': '[4.9, 3.0, 1.4, 0.2], [4.7, 3.2, 1.3, 0.2]', 'target': ([0, 0])}
+    ... )
     ('[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2],[4.6, 3.1, 1.5, 0.2]', [0, 0, 0])
     """
-    x = (data["data"], data["target"])
-    return x
+    return (data["data"], data["target"])
 
 
 def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
@@ -33,9 +34,7 @@ def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
 def main() -> None:
 
     """
-    >>> main()
-
-    The Url for the algorithm
+    Url for the algorithm:
     https://xgboost.readthedocs.io/en/stable/
     Iris type dataset is used to demonstrate algorithm.
     """
@@ -49,13 +48,12 @@ def main() -> None:
 
     names = iris["target_names"]
 
-    # XGBoost Classifier
-    xgb = xgboost(x_train, y_train)
+    # Create an XGBoost Classifier from the training data
+    xgboost_classifier = xgboost(x_train, y_train)
 
-    # Display Confusion Matrix of Classifier
-    # with both train and test sets
+    # Display the confusion matrix of the classifier with both the training and test sets
     plot_confusion_matrix(
-        xgb,
+        xgboost_classifier,
         x_test,
         y_test,
         display_labels=names,
@@ -69,7 +67,5 @@ def main() -> None:
 if __name__ == "__main__":
     import doctest
 
-    doctest.testmod(name="main", verbose=True)
-    doctest.testmod(name="xgboost", verbose=True)
-    doctest.testmod(name="data_handling", verbose=True)
+    doctest.testmod(verbose=True)
     main()

From 0de2c82d82bbbc80c81c1d456e8359d67b96eba5 Mon Sep 17 00:00:00 2001
From: Christian Clauss <cclauss@me.com>
Date: Thu, 20 Oct 2022 08:52:33 +0200
Subject: [PATCH 45/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 606ee67873cf..c7a94258def7 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -16,7 +16,7 @@ def data_handling(data: dict) -> tuple:
     >>> data_handling(
     ...     {'data': '[4.9, 3.0, 1.4, 0.2], [4.7, 3.2, 1.3, 0.2]', 'target': ([0, 0])}
     ... )
-    ('[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2],[4.6, 3.1, 1.5, 0.2]', [0, 0, 0])
+    ('[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2]', [0, 0])
     """
     return (data["data"], data["target"])
 
@@ -51,7 +51,7 @@ def main() -> None:
     # Create an XGBoost Classifier from the training data
     xgboost_classifier = xgboost(x_train, y_train)
 
-    # Display the confusion matrix of the classifier with both the training and test sets
+    # Display the confusion matrix of the classifier with both training and test sets
     plot_confusion_matrix(
         xgboost_classifier,
         x_test,

From d04fd286336cc43ad3a3fd803cf7a91c5aa39021 Mon Sep 17 00:00:00 2001
From: Christian Clauss <cclauss@me.com>
Date: Thu, 20 Oct 2022 08:59:06 +0200
Subject: [PATCH 46/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index c7a94258def7..fd4965631c3c 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -16,7 +16,7 @@ def data_handling(data: dict) -> tuple:
     >>> data_handling(
     ...     {'data': '[4.9, 3.0, 1.4, 0.2], [4.7, 3.2, 1.3, 0.2]', 'target': ([0, 0])}
     ... )
-    ('[4.9, 3. , 1.4, 0.2],[4.7, 3.2, 1.3, 0.2]', [0, 0])
+    ('[4.9, 3.0, 1.4, 0.2], [4.7, 3.2, 1.3, 0.2]', [0, 0])
     """
     return (data["data"], data["target"])
 

From 2c7f99cc0e7b59b3ce8d8ab6743f70e00e86d539 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 21 Oct 2022 00:24:36 +0530
Subject: [PATCH 47/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index fd4965631c3c..b46b1eeaeb2c 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -34,6 +34,8 @@ def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
 def main() -> None:
 
     """
+    >>> main()
+    
     Url for the algorithm:
     https://xgboost.readthedocs.io/en/stable/
     Iris type dataset is used to demonstrate algorithm.

From 1f3affb18f95f620f79936088079bab03248c65a Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 20 Oct 2022 18:57:05 +0000
Subject: [PATCH 48/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index b46b1eeaeb2c..b3ce85adf202 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -35,7 +35,7 @@ def main() -> None:
 
     """
     >>> main()
-    
+
     Url for the algorithm:
     https://xgboost.readthedocs.io/en/stable/
     Iris type dataset is used to demonstrate algorithm.

From 307122fb00cf301d68493f722bbad0343797e94c Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 21 Oct 2022 00:42:08 +0530
Subject: [PATCH 49/55] Fixes: { #6551}

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index b3ce85adf202..c20da75593b6 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -23,7 +23,7 @@ def data_handling(data: dict) -> tuple:
 
 def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
     """
-    >>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2],[4.6, 3.4, 1.4, 0.7]]), np.array([1,2]))
+    >>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2],[4.6, 3.4, 1.4, 0.7]]), np.array([0,1]))
     XGBClassifier()
     """
     classifier = XGBClassifier()

From 7d42c2e74d884c24484552fb0533172313844e05 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 21 Oct 2022 01:19:35 +0530
Subject: [PATCH 50/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index c20da75593b6..e9f70f2240eb 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -23,7 +23,7 @@ def data_handling(data: dict) -> tuple:
 
 def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
     """
-    >>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2],[4.6, 3.4, 1.4, 0.7]]), np.array([0,1]))
+    >>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2]]), np.array([1]))
     XGBClassifier()
     """
     classifier = XGBClassifier()

From 32a5206f5bf56708569ae307908c4fcf047e81b5 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 21 Oct 2022 02:02:45 +0530
Subject: [PATCH 51/55] Fixes: { #6551}

---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index e9f70f2240eb..ac0167447e83 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -23,7 +23,7 @@ def data_handling(data: dict) -> tuple:
 
 def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
     """
-    >>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2]]), np.array([1]))
+    >>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2]]), np.array([0]))
     XGBClassifier()
     """
     classifier = XGBClassifier()

From 32091d3955012553b734066adc589717533e812d Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 21 Oct 2022 02:12:07 +0530
Subject: [PATCH 52/55] Update xgboostclassifier.py

---
 machine_learning/xgboostclassifier.py | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index ac0167447e83..25113f7356b7 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -24,7 +24,16 @@ def data_handling(data: dict) -> tuple:
 def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
     """
     >>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2]]), np.array([0]))
-    XGBClassifier()
+    XGBClassifier(base_score=0.5, booster='gbtree', callbacks=None,
+                  colsample_bylevel=1, colsample_bynode=1, colsample_bytree=1,
+                  early_stopping_rounds=None, enable_categorical=False,
+                  eval_metric=None, gamma=0, gpu_id=-1, grow_policy='depthwise',
+                  importance_type=None, interaction_constraints='',
+                  learning_rate=0.300000012, max_bin=256, max_cat_to_onehot=4,
+                  max_delta_step=0, max_depth=6, max_leaves=0, min_child_weight=1,
+                  missing=nan, monotone_constraints='()', n_estimators=100,
+                  n_jobs=0, num_parallel_tree=1, predictor='auto', random_state=0,
+                  reg_alpha=0, reg_lambda=1)
     """
     classifier = XGBClassifier()
     classifier.fit(features, target)

From 98dc0091e35a9baea0732584a8c6311cd234c3e2 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 21 Oct 2022 02:23:36 +0530
Subject: [PATCH 53/55] Fixes: ( #6551)

---
 machine_learning/xgboostclassifier.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 25113f7356b7..c672df46d2b7 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -33,7 +33,8 @@ def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
                   max_delta_step=0, max_depth=6, max_leaves=0, min_child_weight=1,
                   missing=nan, monotone_constraints='()', n_estimators=100,
                   n_jobs=0, num_parallel_tree=1, predictor='auto', random_state=0,
-                  reg_alpha=0, reg_lambda=1)
+                  reg_alpha=0, reg_lambda=1,scale_pos_weight: 1, seed: None, 
+                  silent: None, subsample: 1, verbosity: 1)
     """
     classifier = XGBClassifier()
     classifier.fit(features, target)

From 6496c2c6c9e97febae22d07d53d7b8284f1ab2a7 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 20 Oct 2022 20:56:40 +0000
Subject: [PATCH 54/55] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/xgboostclassifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index c672df46d2b7..00f93179a702 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -33,7 +33,7 @@ def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
                   max_delta_step=0, max_depth=6, max_leaves=0, min_child_weight=1,
                   missing=nan, monotone_constraints='()', n_estimators=100,
                   n_jobs=0, num_parallel_tree=1, predictor='auto', random_state=0,
-                  reg_alpha=0, reg_lambda=1,scale_pos_weight: 1, seed: None, 
+                  reg_alpha=0, reg_lambda=1,scale_pos_weight: 1, seed: None,
                   silent: None, subsample: 1, verbosity: 1)
     """
     classifier = XGBClassifier()

From c78ede94889238850fdad242e96e58dc0cacb4c5 Mon Sep 17 00:00:00 2001
From: Modassir Afzal <60973906+Moddy2024@users.noreply.github.com>
Date: Fri, 21 Oct 2022 02:32:56 +0530
Subject: [PATCH 55/55] Fixes: { #6551}

---
 machine_learning/xgboostclassifier.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/machine_learning/xgboostclassifier.py b/machine_learning/xgboostclassifier.py
index 00f93179a702..bb5b48b7ab23 100644
--- a/machine_learning/xgboostclassifier.py
+++ b/machine_learning/xgboostclassifier.py
@@ -8,7 +8,7 @@
 
 
 def data_handling(data: dict) -> tuple:
-    # Split dataset into train and test data
+    # Split dataset into features and target
     # data is features
     """
     >>> data_handling(({'data':'[5.1, 3.5, 1.4, 0.2]','target':([0])}))
@@ -33,8 +33,7 @@ def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
                   max_delta_step=0, max_depth=6, max_leaves=0, min_child_weight=1,
                   missing=nan, monotone_constraints='()', n_estimators=100,
                   n_jobs=0, num_parallel_tree=1, predictor='auto', random_state=0,
-                  reg_alpha=0, reg_lambda=1,scale_pos_weight: 1, seed: None,
-                  silent: None, subsample: 1, verbosity: 1)
+                  reg_alpha=0, reg_lambda=1, ...)
     """
     classifier = XGBClassifier()
     classifier.fit(features, target)