RandomForestClassifier

@Serializable

@SerialName(value = "RandomForestClassifier")

data class RandomForestClassifier(val featureSize: Int, val numClasses: Int, val splitCandidates: List<SerializableSplit>, val nbrTrees: Int = 10, val config: ClassificationTreeConfig = ClassificationTreeConfig(), val bagging: Boolean = true, val randomSeed: Int = 0) : RegressionStatSpec<ForestClassificationResult> (source)

Spec for RandomForestClassifierStat: ensembled VFDT classification forest.

Constructors

constructor(featureSize: Int, numClasses: Int, splitCandidates: List<SerializableSplit>, nbrTrees: Int = 10, config: ClassificationTreeConfig = ClassificationTreeConfig(), bagging: Boolean = true, randomSeed: Int = 0)(source)

Oza & Russell Poisson(1) per-tree reweighting.

RegressionTree growth tunables (mtry defaults to ceil(sqrt(p)) when null).

Number of input features.

Trees in the forest.

Number of classes.

PRNG seed shared across trees.

Candidate split pool.