Table 2. Performance of six ML classifiers on AMZN stock Goal I.
Model | Accuracy | F1−score | Precision | Recall | ||||
---|---|---|---|---|---|---|---|---|
TD1 | TD2 | TD1 | TD2 | TD1 | TD2 | TD1 | TD2 | |
KNN | 0.600 | 0.514 | 0.597 | 0.510 | 0.597 | 0.509 | 0.600 | 0.514 |
LR | 0.600 | 0.545 | 0.582 | 0.385 | 0.599 | 0.297 | 0.600 | 0.545 |
NB | 0.624 | 0.510 | 0.600 | 0.421 | 0.633 | 0.446 | 0.624 | 0.510 |
RF | 0.540 | 0.561 | 0.540 | 0.561 | 0.540 | 0.561 | 0.540 | 0.561 |
SVM | 0.476 | 0.475 | 0.428 | 0.387 | 0.507 | 0.529 | 0.476 | 0.475 |
Tree | 0.540 | 0.510 | 0.537 | 0.505 | 0.536 | 0.505 | 0.540 | 0.510 |
Bold values represent the best performances.