User Intent Prediction in Information-seeking Conversations
Table 8. Results comparison. The significance test can only be performed on accuracy. In a multi-label classification setting, accuracy gives a score for each individual sample, while other metrics evaluate the performance over all samples. ‡ means statistically significant difference over the best baseline with p<10−4 measured by the Student’s paired t-test.
['Method Types', 'Methods', 'Accuracy', 'Precision', 'Recall', 'F1']
Evaluation Results They are random forest with the best F1 score and AdaBoost with the best accuracy.