Question

Name any four evaluation metrics for classification.

Hint:

Accuracy alone is not enough—use precision, recall, and F1-score for better evaluation of models.

Answer 1

Step 1: Understand classification evaluation.
Evaluation metrics are used to measure the performance of classification models.

Step 2: Accuracy.
Accuracy measures the proportion of correct predictions out of total predictions.

Step 3: Precision.
Precision measures how many of the predicted positive cases are actually correct.

Step 4: Recall.
Recall measures how many actual positive cases are correctly identified.

Step 5: F1-Score.
F1-score is the harmonic mean of precision and recall, providing a balance between them.