W Brett KennedyinTowards Data ScienceAchieve Better Classification Results with ClassificationThresholdTunerA python tool to tune and visualize the threshold choices for binary and multi-class classification problemsSep 74Sep 74
W Brett KennedyinTowards Data ScienceDistance Metric Learning for Outlier DetectionAn outlier detection method that determines a relevant distance metric between recordsAug 201Aug 201
W Brett KennedyinTowards Data ScienceCreate Stronger Decision Trees with bootstrapping and genetic algorithmsA technique to better allow decision trees to be used as interpretable modelsAug 91Aug 91
W Brett KennedyinTowards Data ScienceDoping: A Technique to Test Outlier DetectorsUsing well-crafted synthetic data to compare and evaluate outlier detectorsJul 9Jul 9
W Brett KennedyinTowards Data ScienceCounts Outlier Detector: Interpretable Outlier DetectionAn interpretable outlier detector based on multi-dimensional histograms.Jun 191Jun 191
W Brett KennedyinTowards Data SciencePRISM-Rules in PythonA simple python rules-induction systemJun 2Jun 2
W Brett KennedyinTowards Data ScienceInterpretable Outlier Detection: Frequent Patterns Outlier Factor (FPOF)An outlier detector method that supports categorical data and provides explanations for the outliers flaggedMay 251May 251
W Brett KennedyinTowards Data ScienceAdditive Decision TreesAn interpretable classification and regression modelMay 241May 241