Model Evaluation
You will learn: how to assess to evaluation of ML models.
- 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.
🚧 This section is still under construction!