Doug Lautzenheiser

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The confusion matrix is simply a square matrix that reports the counts of the True positive (TP), True negative (TN), False positive (FP), and False negative (FN) predictions of a classifier, as shown in the following figure:
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow
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