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import warnings
from sklearn import ensemble
warnings.filterwarnings("ignore")
features = [
[1, 1, 0],
[1, 1, 0],
[1, 1, 0],
[0, 1, 0],
[0, 1, 0],
[0, 1, 0],
]
targets = [
1,
1,
1,
0,
0,
0,
]
model = ensemble.ExtraTreesClassifier()
model.fit(features, targets)
print(model.feature_importances_)
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