Regression Data Analysis System
as_string_c
Error Evolution
Var importance Adabag
Coefficients and lambda
Eval character vectors to JS code
Possible lambda
Error Evolution
Var importance Random Forest
e.rdim.rmse
plot_pred_rd
exe
extract_code
general.indices
ind_nuevos Server Function
plot_real_prediction
Regression Data Analysis System
Run the Shiny Application
summary_indices
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.