https://towardsdatascience.com/metrics-to-evaluate-your-machine-learning-algorithm-f10ba6e38234

Written by: Aditya Mishra
Publised on: Feb 24, 2018

University of Michigan - Ann Arbor

After training a classificaiton model, we can measure the accuracy of a model by predicting the outcome of the observations in the test set.  If the model cannot predictive expected outcome, the accuracy is lower, and the opposite is true for the correct predictions.  

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