Fawcett (http://www.hpl.hp.com/techreports/2003/HPL-2003-4.pdf) discusses
multi-class ROC curves briefly and cites Hand, D. J., & Till, R. J. (2001).
A simple generalization of the area under the ROC curve to multiple class
classification problems. Machine Learning, 45 (2), 171–186. That might be a
the first
>> place?
>>
>> Best,
>> Gilles
>>
>>
>> On 26 May 2014 13:11, Lars Buitinck wrote:
>>
>>> 2014-05-24 0:28 GMT+02:00 Steven Kearnes :
>>> > a is a list of the individual DecisionTreeClassifier objects belonging
&
If I try to do something like:
import numpy as np
from sklearn.ensemble import RandomForestClassifier
X = np.random.random((100, 10))
y = np.random.randint(2, size=100)
estimator = RandomForestClassifier()
estimator.fit(X, y)
a = np.asarray([estimator])
a is a list of the individual DecisionTre
