[Retracted] An Automatic Pronunciation Error Detection and Correction Mechanism in English Teaching Based on an Improved Random Forest Model

Algorithm 1

The process of the optimal classification model.

	Input: Dataset D
	Output: optimal classification model and highest accuracy
	Step 1: Initialize N parameter combinations;
	Step 2: To identify the best classification model, repeat the following steps (1) to (13) in a loop until the termination condition is met.
(1)	While (the maximum number of iterations)
(2)	For i = l: N
(3)	Determine the number of offspring combinations SSi produced by each parameter combination using equation (4).
(4)	For j = 1: SSi
(5)	To update the optimal classification model, equations (5) and (6) are used to update the explosion combination and the classification accuracy.
(6)	End for
(7)	End for
(8)	M combinations are chosen at random from a set of N.
(9)	For k = 1: M
(10)	To update the optimal classification model, equations (7) and (8) are used to update the mutation combination and the classification accuracy.
(11)	End for
(12)	Choose from the next generation of explosive combos.
(13)	End while
	Step 3: Return the best classification model with the best accuracy.