Table 5 Multilabel Classification comparison with different classifiers.
From: Objective Assessment of Cerebellar Ataxia: A Comprehensive and Refined Approach
Algorithms | Precision(%) | Recall(%) | F1 score (%) | Accuracy |
|---|---|---|---|---|
Random Forest (RF) | 83.3 | 85.6 | 84.3 | 82 |
Multi-Layer Perceptron (MLP) | 75.4 | 73.8 | 74.5 | 72.1 |
K-Nearesr Neighbour (KNN) | 64.2 | 65.4 | 64.6 | 59.3 |
Decision Tree (DT) | 80.6 | 74.6 | 76.9 | 77.3 |
