From: Prediction of steroid resistance and steroid dependence in nephrotic syndrome children
Prediction parameter | Neural Network | |
---|---|---|
Train a | Test b | |
NS prediction Sensitivity % | 75% (75/100) | 38% (9/24) |
NS prediction Specificity % | 80% (35/44) | 91% (10/11) |
Total number of correct calls % | 76% (110/144) | 54% (19/35) |
Log Loss | 0.483 | 0.682 |
AUC | 0.825 | 0.561 |
SR prediction Sensitivity % | 68% (34/50) | 33% (1/3) |
SR prediction Specificity % | 98% (49/50) | 100% (21/21) |
Total number of correct calls % | 83% (83/100) | 92% (22/24) |
Log Loss | 0.391 | 0.72 |
AUC | 0.932 | 0.778 |
SD prediction Sensitivity % | 62% (16/26) | 80% (4/5) |
SD prediction Specificity % | 91% (32/35) | 80% (4/5) |
Total number of correct calls % | 79% (48/61) | 80% (8/10) |
Log Loss | 0.704 | 1.208 |
AUC | 0.866 | 0.72 |
SR prediction Sensitivity % | 82% (28/34) | 63% (12/19) |
SD prediction Sensitivity % | 46% (13/28) | 67% (2/3) |
PSS prediction Sensitivity % | 63% (24/38) | 50% (1/2) |
Total number of correct calls % | 65% (65/100) | 63% (15/24) |
Log Loss | 0.756 | 0.761 |