Table 2.

Comparison of different machine learning algorithms

ML techniques	Comparison parameters
	Small dataset	Large dataset	Conditional independence	Computationally intensive	Large storage	Training corpus
Naive Bayes	Excellent	Excellent	Excellent	Good	Excellent	Excellent
Multiple (logistic)regression	Excellent	Good	Good	Good	Good	Good
SVM method	Good	Average	Average	Good	Good	Average
KNN method	Good	Average	Average	Good	Average	Average
Feature driven SA	Good	Average	Good	Average	Average	Good
ME classifier	Good	Average	Good	Average	Average	Good