Lecture 50: Machine Learning: Logistic Regression: Model Evaluation - Confusion Matrix
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YouTubeDeep Dive in ML, DL, and Dατa Σcience
Lecture 50: Machine Learning: Logistic Regression: Model Evaluation - Confusion Matrix
n this video, we focus on the Confusion Matrix, an essential tool for evaluating the performance of a Logistic Regression model. We will explain the key elements of the Confusion Matrix, including True Positives, False Positives, True Negatives, and False Negatives, and how these metrics help assess the model’s accuracy, precision, recall ...
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