Get performance metrics and graphs of a scorecard
A visual analytics environment for supervised text classification and model evaluation.
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
Given enough data, could we make predictions on whether a terrorist attack will be successful, or not? This analysis aims to do just that using Decision Trees and Random Forests created with scikit-learn. (Python)
ROC Curve, Precision / Recall, Model Evaluation, Error Analysis. using MNIST dataset
simple script for plotting precision recall curves
Machine Learning Project to build an algorithm which identifies Enron Employees who may have committed fraud based on the public Enron financial and email dataset.
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