Table 7 Results of classifier and classifier-based similarity measures on the early-stage diabetes risk prediction dataset
From: Building an enhanced case-based reasoning and rule-based systems for medical diagnosis
Accuracy | Precision | Recall | F1 score | |
|---|---|---|---|---|
Logistic regression classifier | 91% | 92% | 90% | 91% |
Random forest classifier | 99% | 99% | 99% | 99% |
GaussianNB classifier | 91% | 90% | 90% | 90% |
Logistic regression similarity | 91.35% | 82% | 94% | 87% |
Random forest similarity | 99.04% | 97% | 100% | 98.5% |
GaussianNB similarity | 94.23% | 86% | 97% | 91% |