Multiclass Boosting with Adaptive Group-Based kNN and Its Application in Text Categorization

Table 4

Average performance of algorithms.

Algorithms	Index
	Precision	Recall	𝐹1-measure
AdaBoost	0.854	0.857	0.856
AdaBoost.M1	0.858	0.864	0.861
AdaBoost.MR	0.857	0.862	0.860
AdaBoost.ECC	0.847	0.857	0.852
Naïve Bayes	0.789	0.795	0.792
SVM	0.869	0.871	0.870
Neural network	0.819	0.818	0.819
Decision tree	0.805	0.805	0.705
AG𝑘NN DIWC-1	0.899	0.896	0.898
AG𝑘NN DIWC-2	0.905	0.910	0.908
AG𝑘NN DIWC-3	0.916	0.918	0.917