Table 4 Effectiveness of each variable in predicting ovulation time in the validation dataset using classification trees model
P4 | ||||
72 h (Real) | 48 h (Real) | 24 h (Real) | Total | |
72 h (Predictive) | 35 | 34 | 2 | |
48 h (Predictive) | 15 | 47 | 5 | |
24 h (Predictive) | 4 | 40 | 144 | |
Total | 54 | 121 | 151 | 326 |
Accuracy rate | 0.6481 | 0.3884 | 0.9536 | 0.6933 |
Sensitivity | 0.4930 | 0.7015 | 0.7660 | |
Specificity | 0.9255 | 0.7143 | 0.9493 | |
PPV | 0.6481 | 0.3884 | 0.9536 | |
NPV | 0.8676 | 0.9024 | 0.7486 | |
LH | ||||
72 h (Real) | 48 h (Real) | 24 h (Real) | Total | |
72 h (Predictive) | 40 | 12 | 2 | |
48 h (Predictive) | 13 | 55 | 16 | |
24 h (Predictive) | 1 | 54 | 133 | |
Total | 54 | 121 | 151 | 326 |
Accuracy rate | 0.7407 | 0.4545 | 0.8808 | 0.6994 |
Sensitivity | 0.7407 | 0.6548 | 0.7074 | |
Specificity | 0.9485 | 0.7273 | 0.8696 | |
PPV | 0.7407 | 0.4545 | 0.8808 | |
NPV | 0.9485 | 0.8585 | 0.6857 | |
E2 | ||||
72 h (Real) | 48 h (Real) | 24 h (Real) | Total | |
72 h (Predictive) | 0 | 0 | 0 | |
48 h (Predictive) | 14 | 70 | 41 | |
24 h (Predictive) | 40 | 51 | 110 | |
Total | 54 | 121 | 151 | 326 |
Accuracy rate | NA | 0.5785 | 0.7285 | 0.5521 |
Sensitivity | NA | 0.5600 | 0.5473 | |
Specificity | 0.8344 | 0.7463 | 0.6720 | |
PPV | NA | 0.5785 | 0.7285 | |
NPV | NA | 0.7317 | 0.4800 | |
Diameter | ||||
72 h (Real) | 48 h (Real) | 24 h (Real) | Total | |
72 h (Predictive) | 0 | 0 | 0 | |
48 h (Predictive) | 47 | 64 | 52 | |
24 h (Predictive) | 7 | 52 | 99 | |
Total | 54 | 121 | 151 | 326 |
Accuracy rate | NA | 0.5289 | 0.6556 | 0.50 |
Sensitivity | NA | 0.3926 | 0.6074 | |
Specificity | 0.8344 | 0.6503 | 0.6810 | |
PPV | NA | 0.5289 | 0.6556 | |
NPV | NA | 0.5171 | 0.6343 |