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Binary Model Insights

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    aluck
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    Correct Predictions

    True positive (TP): Amazon ML predicted the value as 1, and the true value is 1.

    True negative (TN): Amazon ML predicted the value as 0, and the true value is 0.

    Erroneous Predictions

    False positive (FP): Amazon ML predicted the value as 1, but the true value is 0.

    False negative (FN): Amazon ML predicted the value as 0, but the true value is 1.

    Note
    The number of TP, TN, FP, and FN depends on the selected score threshold, and optimizing for any of one of these numbers would mean making a tradeoff on the others. A high number of TPs typically results in a high number of FPs and a low number of TNs.

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