Confusion Matrix: Revision history

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    3 November 2024

    • curprev 22:0322:03, 3 November 2024‎ 핵톤 talk contribs‎ 2,343 bytes +2,343‎ Created page with "'''Confusion Matrix''' is a tool used in data science and machine learning to evaluate the performance of a classification model. It provides a tabular summary of the model's predictions against the actual values, breaking down the number of correct and incorrect predictions for each class. ==Structure== The confusion matrix is typically a 2x2 table for binary classification, with the following layout: *'''True Positives (TP)''': Correctly predicted positive instances *..." Tag: Visual edit
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