Fig. 7: F1-score to estimate the performance of different MLAs for classifying contrastive tones (EH, H, M, L, and MR).
From: Multi-class identification of tonal contrasts in Chokri using supervised machine learning algorithms
Decision Tree (DT), K-Nearest Neighbors (KNN), Logistic Regression (LR), Naive Bayes (NB), Random Forest (RF), Support Vector Machine (SVM), and Artificial Neural Network (ANN) for a Females, and b Males. The dashed line shows an F1-score of 0.85.
