Run a multitude of classifiers on your data and get an AUC report
Example:
https://github.com/alvarouc/polyssifier/blob/master/sample/example.ipynb
The class Poly includes several classifiers:
- Multilayer Perceptron (see https://github.com/alvarouc/mlp )
- Nearest Neighbors
- Linear SVM
- RBF SVM
- Decision Tree
- Random Forest
- Logistic Regression
- Naive Bayes
- Voting Classifier
You can exclude some of this classfiers by provind a list of names as follows:
from polyssifier import Poly
pol = Poly(data,label, n_folds=5, exclude=['Multilayer Perceptron'], verbose =1)
scores= pol.run()