Ensemble Machine Learning Model for Classification of Spam Product Reviews

Table 6

Classification results using top 10 features selected by Chi-square.

Classifiers	Accuracy (%)
RF	85.81
KNN	84.75
MLP	84.90
Ensemble classifier (MLP, KNN, and RF)	89.26
GBM Gaussian	84.74
XGBoost	85.03
GBM AdaBoost	85.59

Maximum accuracy achieved is highlighted in bold.