support vector machine question

Hi, I created a dataset of 100 points, ranging from X=1.0 to to X=100.0. I let the y variable be 0.0 if X < 51.0 and 1.0 otherwise. I then fit a SVMwithSGD. When I predict the y values for the same values of X as in the sample, I get back 1.0 for each predicted y! Incidentally, I don't get perfe

support vector machine does not classify properly?

Hi, I created a dataset of 100 points, ranging from X=1.0 to to X=100.0. I let the y variable be 0.0 if X < 51.0 and 1.0 otherwise. I then fit a SVMwithSGD. When I predict the y values for the same values of X as in the sample, I get back 1.0 for each predicted y! Incidentally, I don't get perfec

Re: support vector machine does not classify properly?

-- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/support-vector-machine-does-not-classify-properly-tp26216p26223.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --