Table 2 Parameters’ settings for various classifiers used in the work.
Classifier | Type | Specification |
|---|---|---|
Decision Tree | Complex Tree | Number of splits= 100 |
Split Criterion= Gini index | ||
k-Nearest Neighbors | Cosine KNN | Number of neighbours=10 |
Distance Metric= Cosine | ||
Support Vector Machine | Quadratic Kernel | Multi class method = One to one |
Distance Weight= Equal | ||
Multi Layer Perceptron | Conjugate Gradient | Performance measure= Cross entropy |
No of Hidden Layer= 10 | ||
Data division= Random |
