Yeah Emily. We were slightly off.
I can see the "steps" of your calculation. However, I don't think it's right to do that. Not the #s, but the approach.
Please describe the problem in more detail including the form of the data you have.
Also, you typically don't want to mix the training set and the testing set. You should make your "model" before hand. And then use that to classify the "test data". Here, you seem to be mixing them both. You are generating the boundaries from some data, and then trying to classify that same data. It looks as if you are making the decision "relative" to each other. Which shouldn't be the case.
Perhaps, it's b/c I am still not sure about the form of your data (or b/c I am too sleepy).
Also, the link I gave is a very brief flavor of Hypothesis Testing. I don't recommend it as an "intro". If you want, I can try to find a better link for you..
I can see the "steps" of your calculation. However, I don't think it's right to do that. Not the #s, but the approach.
Please describe the problem in more detail including the form of the data you have.
Also, you typically don't want to mix the training set and the testing set. You should make your "model" before hand. And then use that to classify the "test data". Here, you seem to be mixing them both. You are generating the boundaries from some data, and then trying to classify that same data. It looks as if you are making the decision "relative" to each other. Which shouldn't be the case.
Perhaps, it's b/c I am still not sure about the form of your data (or b/c I am too sleepy).
Also, the link I gave is a very brief flavor of Hypothesis Testing. I don't recommend it as an "intro". If you want, I can try to find a better link for you..