Table 6 Accuracy and AUC score of all classifiers tested simultaneously in WEKA Experimenter (with missing values)
From: Comparison of classification algorithms for predicting autistic spectrum disorder using WEKA modeler
Classifier | Correctly classified instance % (accuracy) | AUC |
|---|---|---|
Naïve Bayes | 98.84 | 1.00 |
Logistic Regression | 95.51 | 0.99 |
KNN | 88.42 | 0.89 |
J48 | 100.00 | 1.00 |
Random Forest | 99.97 | 1.00 |
DNN (2-layer) | 94.52 | 0.98 |
SVM | 100.00 | 1.00 |