The following code is used to initialize and train a multilayer perceptron regressor model on the training and validation sets. What feature of the code is likely to cause the model to be inaccurate?

mlpReg$\_$train $=$ MLPRegressor$($random$\_$state$=1,$

$$ max$\_$iter$=5,$

$$ hidden$\_$layer$\_$sizes$=[1]).$fit$($X$\_$train, np$.$ravel$($y$\_$train$))$

mlpReg$\_$validation $=$ MLPRegressor$($random$\_$state$=1,$

$$ max$\_$iter$=5,$

$$ hidden$\_$layer$\_$sizes$=[1]).$fit$($X$\_$test, np$.$ravel$($y$\_$test$))$

Group of answer choices

This code uses different sets for training and validation.

The perceptron should have more hidden layers.

The random state for each line should be different.

The number of epochs is set too low.

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