How will you check accuracy of ML model?

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Accepted Answer

Accuracy of ML model can be checked using metrics like confusion matrix, accuracy score, precision, recall, F1 score.

Calculate confusion matrix to see true positives, true negatives, false positives, and false negatives.
Use accuracy score to measure overall correctness of the model.
Calculate precision to see the ratio of correctly predicted positive observations to the total predicted positives.
Calculate recall to see the ratio of correctly predicted positive observations to the all observations in actual class.
Calculate F1 score which is the weighted average of precision and recall.
Cross-validation techniques like k-fold cross-validation can also be used to evaluate model performance.

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