Dynamic Nonparametric Random Forest Using Covariance

Table 2

Terms and Notation.

Terms	Notation
	Total dataset for training
	Learning dataset consisting of % of random samples from
	OoB dataset, i.e., = -
	A decision tree generated by using at the iteration
	A forest consisting of trees generated by the iteration
	A single data instance in
	A single data instance in
	Information-theoretic criteria for finding best attributes
	Best attributes based on
	A subset of induced by
	A single data instance in
	A decision node for testing
	A row vector consisting of numbers of decision trees by the iteration, i.e.,
	Maximum number of trees composing a forest
	Number of true positives for from each iteration
	Number of false positives for from each iteration
	Number of false negatives for from each iteration
	Precision for from each iteration
	Recall for from each iteration
	-measure for at the iteration
	A row vector consisting of s by the iteration, i.e., .
	Covariance between and at the iteration