After training a supervised machine learning model such as a classifier, you would like to know how well it works. This is often done by setting apart a small piece of your data called the **test set* ...

Algorithm based on the confusion matrix for the evaluation of machine learning algorithms. The test_metrics.py file can be run and modified to test the algorithm, along with values in the config.py ...

Confusion matrix: Machine learning needs to produce accurate results and using a confusion matrix machine learning bolsters its equations through true positive and false positive rates. ... Image ...