number of estimator to use.
Don't calculate Out-Of-Bag predictions. Improves performance if set to true.
use replacement over the sample features.
seed for feature and samples selection, must be a 32-bit integer.
Optional selectionthe way to calculate the prediction from estimators, "mean" and "median" are supported.
options for the tree classifier, see [ml-cart]https://mljs.github.io/decision-tree-cart/
use bagging over training samples.
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the number of features used on each estimator. * if is an integer it selects maxFeatures elements over the sample features. * if is a float between (0, 1), it takes the percentage of features.