Category: Data Science
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Confusion matrix, accuracy, recall, precision, false positive rate and F-scores explained
When building a machine learning model, it\’s important to measure the results of your model. Typically, you split a dataset into a training dataset and a test dataset. The training dataset is used to train your model, while the test dataset is used to measure the performance of your model. A commonly used method to…