Skip to content

Detecting outliers in Yahoo's webscope anomaly detection data sets using different outlier detection algorithms.

Notifications You must be signed in to change notification settings

ScottOnestak/OutlierDetection

Repository files navigation

Outlier Detection

Detecting outliers in Yahoo's webscope anomaly detection data sets using different outlier detection algorithms.

Dataset can be found here: http://webscope.sandbox.yahoo.com/catalog.php?datatype=s&did=70

Each of the folders contain the source code for each of the different methods used to model the data and predict outliers within the data sets.

BenchmarkResults.xlsx and results.xlsx contain the individaul breakdowns of outlier detection on each of the files and calculate the overall accuracy of the models.

Curtis-Onestak Outlier Detection.docx is our report on our findings.

Curtis-Onestak Presentation.pptx is a powerpoint presentation in addition to the report.

About

Detecting outliers in Yahoo's webscope anomaly detection data sets using different outlier detection algorithms.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages