A Novel Ensemble Stacking Learning Algorithm for Parkinson’s Disease Prediction

Table 4

Comparison of proposed work with existing works.

Methods	Description	Accuracy (%)
Probabilistic neural network (PNN)Ene	Monte carlo search,incremental search, and hybrid search	81.0
Artificial neural networks (ANN)Khemphila and Boonjing	Back-propagation learning algorithm + Multi-Layer Perceptron (MLP)	83.3
Correlation based feature selection (CFS) Ozcift and Gulten	Classifier ensemble construction with a random forest approach	87.13
Ensemble stacking learning algorithm (ESLA)	RF + XGBoost + Logistic regression + MLP	90.13