Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis
Table 4: Results of K-NN Classifier with Tf-Idf Feature for Different k-values.
['[ITALIC]  [BOLD] K-Values', '[ITALIC]  [BOLD] Accuracy', '[ITALIC]  [BOLD] F1(macro)']
Although the baseline k-NN model performed quite poorly, we attempted to tune the parameters for the K-NN classifier to identify the best k-value for our data. It should be noted that here, we only considered the tf-idf feature because it yielded better results than the count feature.