December 2019
Intermediate to advanced
368 pages
11h 10m
English
After a successful solution is found, it is crucial to compare it with other solutions to estimate how good it is. There are many important statistical metrics that compare different models.
Become familiar with concepts such as precision score, recall score, F1 score, ROC AUC, and accuracy. Understanding these metrics will help you to compare the results produced by different models in various classification tasks. Next, we give a brief overview of these metrics.
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