Re: [Scikit-learn-general] Binary Classifier Evaluation Metrics

It looks like you should use the http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html to convert y_train into a binary indicator matrix format that scikit-learn can work with. On 25 March 2016 at 18:42, Enise Basaran wrote: >

Re: [Scikit-learn-general] Binary Classifier Evaluation Metrics

Hi, I'm studying on web page classification and I have 32 categories like 'Adult', 'Business', 'Education', etc. OneVsRestClassifier example is below : X_train = np.array(["new york is a hell of a town", "new york was originally dutch", "the big apple is

Re: [Scikit-learn-general] Binary Classifier Evaluation Metrics

OneVsRestClassifier already implements Binary Relevance. What is unclear about our documentation on model evaluation and metrics? On 25 March 2016 at 00:13, Enise Basaran wrote: > Hi everyone, > > I want to learn binary classifier evaluation metrics please. I implemented

[Scikit-learn-general] Binary Classifier Evaluation Metrics

Hi everyone, I want to learn binary classifier evaluation metrics please. I implemented "Binary Relevance" method for multilabel classification.*[1] * My classifiers say "Yes" or "No". How can I calculate accuracy score of my dataset, what metrics can I use for my binary classifiers? Thanks in