Select "Disk" to browse for the data set.
Select the data set from your drive.
When data is loaded, short info about number of rows and columns is showed.
Data in table form presented.
Overview summary info about columns: names, types, missings, uniques.
Densities of all the columns.
Empirical cumulative distribution functions for all the columns.
Correlations among all variables.
Definition of target variable.
Target variable confirmed.
Training vs test set proportion.
Automatic fine classes. All variables selected for grouping.
Discriminant powers for selected variables on training and test set
Presentation of the results of automatic fine classing (grouping)
Main results for logistic regression model with automatically selected variables. Gini (for ROC and CAP curves) and other metrics presented.
Impact of the model variables on the model's performance and dependency among them.
Presentation of the model in a scorecard form
Population Stability Index (PSI) for prediction over Time
AUC and KS for model prediction for different Amount intervals
Partial dependence plot
Comparison of two models by AUCs distribution.
Distribution of test statistic for ifferent AUCs
Distribution of test statistic for ifferent AUCs
