Random concepts for ML [draft]
Evaluating the model Recall (R) $R = \frac{TP}{TP + FN}$ i.e. number of true values “recalled” out of total true values Precision (P) $P = \frac{TP}{TP + FP}$ i.e. How precise you were in identifying positive cases. Covid RTPCR Test has high precision and low recall. This means if the test result is Covid positive, there is a high chance that it is correct but if it says negative, nothing can said with certainty. ...