A New Random Forest Algorithm Based on Learning Automata

Figure 7

Convergence rate for different reward and penalty parameters. (a) a = 0.5, b = 0.5; (b) a = 0.3, b = 0.3; (c) a = 0.7, b = 0; (d) a = 0.1, b = 0.1; (e) a = 0.01, b = 0; (f) a = 0.05, b = 0.05; (g) a = 0.3, b = 0.

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