Table 4.

Detailed experiment result of the top 10 classification algorithms.

Classification algorithm	Macro-average precision	Macro-average recall	Macro-average F1
Multiclass classifier	0.9553	0.9420	0.9485
Logistic	0.9558	0.9425	0.9488
Simple logistic	0.9560	0.9423	0.9490
Iterative classifier optimizer	0.9493	0.9525	0.9510
Logit boost	0.9493	0.9525	0.9510
Decision table	0.9493	0.9538	0.9513
JRip	0.9523	0.9518	0.9523
K-nearest neighbor (k=1)	0.9518	0.9613	0.9563
Logistic model trees	0.9545	0.9598	0.9570
Randomizable filtered classifier	0.9535	0.9613	0.9573