There is no specificity metric, but it is easy to implement.
What have you tried and what exactly was the error you got when using
``make_scorer``?
You can either write a callable that takes "trained estimator, X_test,
y_test" or you can write a function
that takes y_test, y_pred and call make_scorer on it.
On 11/26/2015 07:53 AM, H Schulz wrote:
Hello all,
i want to validat my classifiers with the
cross_validation.cross_val_score(clf, X,y, cv=5, scoring='accuracy')
function. I found every metric i'll need, except for the speceficity.
I found a "make_scorer" function, but this doesnt work due to some
"shape" errors for the y-vector.(I also reshaped the vector, but this
doesnt workd)
Is there a other method for validating the classifier with CV and the
metric specificity?
I found ; precision, accuracy, roc_auc and sensitivity.
I'll gratefull for any help
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