Explore Feature Importances

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import pandas as pd,pylab as pl

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pl.style.use('dark_background')

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pl.figure(figsize=(6,5))

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from sklearn import datasets

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wine=datasets.load_wine()

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from sklearn.ensemble import \

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AdaBoostClassifier,GradientBoostingClassifier

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classifiers=[AdaBoostClassifier,GradientBoostingClassifier]

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X,y=wine.data,wine.target

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df_importance=pd.DataFrame(columns=range(13))

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for i in range(2):

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    df_importance.loc[i]=\

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    classifiers[i]().fit(X,y).feature_importances_

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    pl.plot(df_importance.loc[i],'-v',

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            label=str(classifiers[i]()),

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            markersize=7,markerfacecolor='None',

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            markeredgewidth=2)

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pl.legend(loc=9,bbox_to_anchor=(.5,1.17),fontsize=12)

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pl.grid(color='slategray'); pl.show()

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