All,
I have a grid search of gradient boosting classifier. All works well the best
model is extracted and predict works on the model. I would like to extract the
cv_results_ My set-up is pretty standard
gbclassifier = GridSearchCV(GradientBoostingClassifier(),
parameters,
verbose = 5,
n_jobs = 5,
cv = ShuffleSplit(n_splits = 5, test_size = .2,
random_state = 42),
refit = True,
scoring = “roc_auc”)
print(gbclassifier.cv_results_)
returns an attribute error ‘Gradient Boosting Classifier’ has no attribute
cv_results. I am not sure what I am doing wrong I checked the documentation
and followed some SO examples but no progress. I am missing something any help
is appreciated.
Best,
Glenn
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