A New Random Forest Algorithm Based on Learning Automata

Table 3

Comparison of the proposed method with similar approaches in the subject literature.

	Dataset	Averaging	Majority Voting	Random Forest	Our Method
Text	Sentiment140 dataset	74.54	75.50	74.30	76.30
	Large dataset of movie reviews	86.28	86.86	86.42	86.62
	Sentence polarity dataset	73.75	74.63	73.38	77.03
	Movie reviews dataset	81.58	81.58	81.67	85.92
	Yelp review polarity	89.47	90.32	89.74	90.76
	Amazon review polarity	80.86	81.66	80.97	82.58
Healthcare	Heart disease dataset	58.00	57.50	57.50	65.00
	Breast cancer dataset	97.41	97.36	96.49	98.24
	Arrhythmia dataset	80.71	85.71	81.31	85.71
	Parkinson dataset	63.95	64.58	64.58	68.75
	Caesarean section dataset	60.31	62.50	43.75	68.75
	Gene expression dataset	95.59	95.62	96.27	98.75
	Diabetes dataset	75.77	75.32	74.67	76.62
	Statlog (heart) data set	81.20	81.48	79.62	85.18
Physical	Ionosphere dataset	91.05	91.54	92.95	95.77
	Sonar, mines vs. rocks dataset	85.23	85.71	73.80	88.09
Sound	Voice dataset	76.38	76.18	76.49	88.95
	Emotions from music dataset	78.23	78.15	82.35	84.03