Confusion Matrix: 편집 역사

2024년 11월 4일 (월)

• 최신이전 12:032024년 11월 4일 (월) 12:03‎ 핵톤 토론 기여‎ 2,343 바이트 +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 *..." 태그: 시각 편집