Ensemble Machine Learning Model for Classification of Spam Product Reviews

Table 7

Classification results using top 10 features selected by Univariate.

Classifiers	Accuracy (%)
RF	85.72
KNN	84.46
MLP	84.50
Ensemble classifier(MLP, KNN, and RF)	88.70
GBM Gaussian	84.74
XGBoost	85.31
GBM AdaBoost	85.59

Maximum accuracy achieved is highlighted in bold.