[Retracted] Machine Learning Approaches for Developing Land Cover Mapping

Table 3

Classification accuracy for NN and RF classifiers and different feature sets.

Dataset	Accuracy
	NN classifier	RF classifier
Original (147 features)	83.63%	85.40%
CFS (40 features)	83.43%	86.98%
Wrapper, J48 classifier (63 features)	83.43%	85.01%
Wrapper, zero-R classifier (13 features)	71.01%	77.91%