A Heaviside Function Approximation for Neural Network Binary Classification

2 Sep 2020Nathan TsoiYofti MilkessaMarynel Vázquez

Neural network binary classifiers are often evaluated on metrics like accuracy and $F_1$-Score, which are based on confusion matrix values (True Positives, False Positives, False Negatives, and True Negatives). However, these classifiers are commonly trained with a different loss, e.g. log loss... (read more)

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