Example of using a Support Vector Machine in place of Decision Trees for the weak learner in Adaptive Boosting

adaboost_svm.py

#!/usr/bin/env python

from sklearn.ensemble import AdaBoostClassifier
from sklearn.svm import SVC
from sklearn.datasets import load_iris
from sklearn.cross_validation import cross_val_score

data = load_iris()
features = data['data']
labels = data['target']

estimator = AdaBoostClassifier(base_estimator=SVC(probability=True))

print cross_val_score(estimator, features, labels).mean()