Classifier Measures
Learn the concept of classifier measures like accuracy, precision, recall, and specificity.
Accuracy
We can define the accuracy we’ve measured thus far as:
It does not care whether there is a systematic error, such as the algorithm’s inability to correctly predict a passenger who survived (true positives), as long as it performs well at correctly predicting passengers who die (true negatives).
The confusion matrix offers us more detailed measures of our classifier performance.
These are:
- Precision
- Recall
- Specificity
- Negative predictive value (NPV)
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