sklearn Forecast_proba没有Macthing类标签

Question

I have trained a RandomForestClassifier on my dataset to predict 8 different topics from a body of text. The dataset looks as follows for a given example

X_train = [[0,0,0,0,0,1,0,0,1,0],
           [0,1,0,0,0,0,0,0,0,1],
           [1,0,0,0,0,0,0,0,0,1]]
          # This is a bag of word

y_train = ["A", "B", "C"] 
# 8 categories in total

If I run the following code

rdf = RandomForestClassifier(n_estimators = 100)
rdf_fitted = rdf.fit(X_train, y_train)
print rdf_fitted.predict(x_test[0])
print rdf_fitted.predict_proba(x_test[0])
print rdf_fitted.classes_

I get a strange result

["B"]
[0.7, 0.2, 0.1]
["A","B","C"...]

Basically, the predicted label ("B" in this case) does not match the predict_proba predictions which suggests that "A" has the highest probability.

Any ideas what's causing this?

Answer 1

此问题是由于我在Jupyter Notebook安装程序中遇到的错误引起的