Quality of our classifier can be determined through _________. 1. Recall 2. Accuracy 3. Precision 4. Confusion Matrix
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accuracy is your answer.........
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Option 2) Accuracy
Quality of our classifier can be determined through Accuracy.
- The accuracy of your classifier can be determined by counting the number of decisions it makes correctly, dividing that number by the total number of test cases, and then computing the result. It's that easy. The great majority of research findings and numerous applied projects both mention accuracy. It is the standard metric.
- Even in cases where the model is unable to anticipate any crashes, its accuracy is still 90%. 90% of the statistics indicate that the landing was safe. Accuracy therefore does not hold true for unbalanced data. Since most data in commercial settings won't be balanced, accuracy becomes a poor indicator of our classification model's performance.
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