Difference between classification and regression score in Python scikit learn

Question

I'm kind a new for python scikit learning i develop a data mining algorithm using scikit learn classification methods and now i need to find its accuracy. first just need to know,

What is difference between classification and regression score in Python scikit learn?

Is there any other way that i can calculate accuracy of my prediction algorithm?

r2_score(y_test,predictions)
f1_score(y_test,predictions)

Regression score (%)== 66%
Classification score (%) == 75%

assuming you have some training and testing data, build you model on the training data then run something like algo = clf.fit() and then (Y_test == algo.predict(X_test)).mean() . This will give you your accuracy. check out sklearn.metrics.mean_absolute_error and sklearn.metrics.mean_squared_error — o-90
– o-90, Commented May 3, 2014 at 8:08
but i already evaluated my algorithm using r2_score(y_test,predictions) f1_score(y_test,predictions) i just want to know the Difference between classification and regression score? — tk_
– tk_, Commented May 3, 2014 at 9:26
Do you understand the difference between classification and regression at all? — Fred Foo
– Fred Foo, Commented May 3, 2014 at 9:52
This question doesn't make any sense to me, there are many ways to evaluate both regression and classification problems. Do you want to know the difference between r-squared and f1? If so, reading the documentation and/or wikipedia should answer that for you. Regardless, I don't see how this is a programming question suited for stackoverflow so I'm downvoting. — David
– David, Commented May 3, 2014 at 15:13
Classification trees have dependent variables that are categorical and unordered. Regression trees have dependent variables that are continuous values or ordered whole values. — tk_
– tk_, Commented May 4, 2014 at 3:51

tk_ · Accepted Answer · 2014-05-04 03:57:01Z

1

Regression: the output variable takes continuous values.

Classification: the output variable takes class labels.

score will be calculated according to the result against continuous values and class labels

answered May 4, 2014 at 3:57

tk_

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