use weka to show cross validation results for train and test

Job ID: 35222964

Budget: $10 – $30 USD

how to show cross-validation graphs and results for train and testing so no overfitting and underfitting
results ( R_Square RMSE MAE Pearson's Correlation Coefficient)
https://www.youtube.com/watch?v=uiDFa7iY9yo
for the the three methods M5p , random tree and rep tree
then for all and selected features
Method Feature Selected
Method Feature Selected Common Variables
Chi-Square 34,37,27,35,18,16,13,7,2 common chi-square 27, 35, 13, 7
Mutual Information Gender,20,27,23,16,29,21,17,9 common Mutual information 27, 23
Lasso 27,2,37,7,36,34,6,21,35 common lasso 27, 7, 36, 35
ANOVA 2,7,13,16,21,23,27,32,34 common anova 7, 13, 35, 27
Pearson 27,34,2,7,37,32,16,21,35 common Pearson 27, 7, 35

use three dataset ( all dataset) then male and female dataset
Related categories: Python Statistics Data Mining