Скачать или смотреть Machine Learning 03 | Confusion Matrix | DA | GATE Crash Course

In this video, I explain the Confusion Matrix in the simplest and most intuitive way — perfect for GATE DA, Machine Learning beginners, and Data Science aspirants.
You will understand TP, TN, FP, FN, accuracy, precision, recall, F1-score, and why the confusion matrix is the foundation of every classification algorithm.
If you are preparing for GATE Data Analytics, this concept is extremely important for topics like model evaluation, binary classification, and ML metrics.
📌 What You Will Learn
✔ What is a Confusion Matrix?
✔ True Positive, True Negative, False Positive, False Negative
✔ Why Confusion Matrix is required
✔ Accuracy vs Precision vs Recall
✔ F1 Score and when to use it
✔ Real-life examples
✔ GATE DA exam importance

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