Model Evaluation
You will learn: how to assess to evaluation of ML models.
Last updated
You will learn: how to assess to evaluation of ML models.
Last updated
Accuracy: computes the number of correct predictions divided by the total number of samples.
Sensitivity: also known as recall, is computed as the fraction of true positives that are correctly identified.
Precision: computed as the fraction of retrieved instances that are relevant.
Specificity: computed as the fraction of true negatives that are correctly identified.
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