Table 12. Machine learning algorithms with one hot encoding, BoW and without PCA using Python.
Race Group | Sample Size | Classification Accuracy (%) | |||
---|---|---|---|---|---|
BoW-SVM | BoW-RF | BoW-LDA | BoW-QDA | ||
AFRICAN | 90 | 73.91 | 73.91 | 82.4 | 83.3 |
ASIAN | 90 | 100 | 100 | 82.4 | 53.6 |
CAUCASIAN | 90 | 100 | 100 | 100 | 100 |
Micro-accuracy | 93.97 | 93.97 | 90.94 | 81.64 | |
Macro-accuracy | 91.30 | 91.30 | 88.27 | 78.97 |