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Classification report and Confusion matrix in Python
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After building and training a model, you feed the test dataset into the model. To evaluate the predicted output, you use different scores such as F1 score, recall, precision, and accuracy. These scores are calculated from the confusion matrix. This video teaches you to generate a classification report and the confusion matrix in Python.
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