watex.models.displayCVTables#

watex.models.displayCVTables(cvres, cvmodels)[source]#

Display the cross-validation results from all models at each k-fold.

Parameters:

  • cvres (dict of (str, Array-like)) – cross validation results after training the models of number of parameters equals to N. The str fits the each parameter stored during the cross-validation while the value is stored in Numpy array.

  • cvmnodels (list) – list of fined-tuned models.

Examples

>>> from watex.datasets import fetch_data
>>> from watex.models import GridSearchMultiple, displayCVTables
>>> X, y  = fetch_data ('bagoue prepared')
>>> gobj =GridSearchMultiple(estimators = estimators,
                             grid_params = grid_params ,
                             cv =4, scoring ='accuracy',
                             verbose =1,  savejob=False ,
                             kind='GridSearchCV')
>>> gobj.fit(X, y)
>>> displayCVTables (cvmodels=[gobj.models.SVC] ,
                     cvres= [gobj.models.SVC.cv_results_ ])
...