Thank you for answering ... makes sense now that you point it out.
Sent from my iPhone
> On Jul 24, 2019, at 2:57 PM, Andreas Mueller <t3k...@gmail.com> wrote:
>
> scoring is not a parameter.
> It needs to be passed to GridSearchCV
>
> selfCLF =GridSearchCV(GradientBoostingClassifier(), parameters, versose = 3m
> n_jobs = 4), scoring='roc_auc')
>
>
>
>> On 7/24/19 1:24 PM, Glenn Schultz via scikit-learn wrote:
>> I am using GBClassifier, the below works if I use the default accuracy but
>> it fails using roc_auc or roc_auc_score. I have found many examples to work
>> with but for the life of me I can’t get it two work with roc_auc. What am I
>> doing wrong.
>>
>> from sklearn.ensemble import GradientBoostingClassifier
>> from sklearn.model_selection import GridSearchCV
>> from sklearn.metrics import auction, roc_auc_score
>>
>> y_train = LoansTrainData[‘event’]
>> x_train LoanTrainData[LoansTrainData.columns.drop(‘event’)]
>>
>> parameters = {“loss” :[‘deviance’],
>> “scoring” :[‘roc_auc’},
>> “learning_rate” :[.1, .05]
>>
>> selfCLF =GridSearchCV(GradientBoostingClassifier(), parameters, versose = 3m
>> n_jobs = 4)
>> searchCLF(x_train, y_train)
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