The following classifiers run on regression targets (and do garbage and possibly run very long)

from sklearn.datasets import load_boston
boston = load_boston()
from sklearn.utils.testing import all_estimators
classifiers = all_estimators(type_filter="classifier")

for name, Cl in classifiers:
    try:
        Cl().fit(boston.data, boston.target)
    except Exception as e:
        pass
    else:
        print(name)

AdaBoostClassifier
BaggingClassifier
DecisionTreeClassifier
ExtraTreeClassifier
ExtraTreesClassifier
GradientBoostingClassifier
KNeighborsClassifier
LabelPropagation
LabelSpreading
LinearSVC
LogisticRegression
LogisticRegressionCV
NearestCentroid
RadiusNeighborsClassifier
RandomForestClassifier
SVC

I can try this.

sure, go for it :)

#5084

Closed by #5084