Ensemble Machine Learning Model for Classification of Spam Product Reviews

Table 8

Classification results using top 10 features selected by Information Gain.

Classifiers	Accuracy (%)
RF	84.90
KNN	84.75
MLP	85.81
Ensemble classifier (MLP, KNN, and RF)	88.13
GBM Gaussian	84.74
XGBoost	85.59
GBM AdaBoost	85.87

Maximum accuracy achieved is highlighted in bold.