Table 4 Performance comparison of the TPOT AutoML.
From: New hybrid features extracted from US images for breast cancer classification
ACC | AUC | Recall | Prec | F1-score | MCC | |
---|---|---|---|---|---|---|
y1 | 0.906 | 0.981 | 0.850 | 0.958 | 0.901 | 0.818 |
y2 | 0.894 | 0.948 | 0.892 | 0.880 | 0.886 | 0.787 |
y3 | 0.759 | 0.911 | 0.515 | 0.425 | 0.466 | 0.315 |
y4 | 0.772 | 0.865 | 0.938 | 0.462 | 0.619 | 0.543 |
y5 | 0.809 | 0.922 | 0.750 | 0.738 | 0.744 | 0.591 |
y6 | 0.759 | 0.897 | 0.674 | 0.564 | 0.614 | 0.445 |