This code build up a predicting model use the Machine learning algorithms such as Decision Tree, k-Nearest Neighbors etc. on the Vehicle to predict the departure action
-
Updated
Sep 10, 2017 - Python
This code build up a predicting model use the Machine learning algorithms such as Decision Tree, k-Nearest Neighbors etc. on the Vehicle to predict the departure action
An implementation of a density based outlier detection method - the Local Outlier Factor Technique, to find frauds in credit card transactions. For detecting both local and global outliers.
Script to compute Precision, Recall, AvP and MAP and to plot PR curves in the context of Information Retrieval evaluation.
Machine learning utility functions and classes.
Measure and visualize machine learning model performance without the usual boilerplate.
Run histogram-based gradient boosted trees binary classifier on generated data and interpret results with standard metrics, SHAP, and supervised clustering
Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..
Add a description, image, and links to the precision-recall-curve topic page so that developers can more easily learn about it.
To associate your repository with the precision-recall-curve topic, visit your repo's landing page and select "manage topics."