Table 2 Performance of the KNN, NN and... | Emerald Publishing

Table 2

Performance of the KNN, NN and random forest algorithms

Classification algorithm		KNN			NN			Random forest
Aggregation of the training data set		Normal	Oversampled	SMOTE	Normal	Oversampled	SMOTE	Normal	Oversampled	SMOTE
Classification 1	f ₂ score	0.569	0.547	0.584	0.587	0.603	0.612	0.723	0.763	0.745
Classification 2	f ₂ score	0.538	0.592	0.592	0.564	0.614	0.591	0.714	0.749	0.730
Classification 3	f ₂ score	0.530	0.566	0.565	0.680	0.684	0.650	0.809	0.811	0.800
Classification 4	f ₂ score	0.401	0.456	0.444	0.473	0.460	0.434	0.682	0.699	0.695
Classification 5	f ₂ score	0.377	0.429	0.335	0.551	0.632	0.572	0.793	0.862	0.795

Classification algorithm		KNN			NN			Random forest
Aggregation of the training data set		Normal	Oversampled	SMOTE	Normal	Oversampled	SMOTE	Normal	Oversampled	SMOTE
Classification 1	f ₂ score	0.569	0.547	0.584	0.587	0.603	0.612	0.723	0.763	0.745
Classification 2	f ₂ score	0.538	0.592	0.592	0.564	0.614	0.591	0.714	0.749	0.730
Classification 3	f ₂ score	0.530	0.566	0.565	0.680	0.684	0.650	0.809	0.811	0.800
Classification 4	f ₂ score	0.401	0.456	0.444	0.473	0.460	0.434	0.682	0.699	0.695
Classification 5	f ₂ score	0.377	0.429	0.335	0.551	0.632	0.572	0.793	0.862	0.795