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5
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2answers
160 views
How does the number of free dimensions of a model affect its required size of sample?
Adding more variables to a model usually increases its accuracy. However, without adequate analysis it could also lead to curve fitting.
Another question (How much data is needed to validate a ...
1
vote
2answers
216 views
Choosing attributes for SVM classification?
Let's assume I am classifying every trading day as a 1 or a 0. Exactly what I am classifying doesn't matter, but for the sake of this question let's say I am predicting direction of price change. So, ...
3
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1answer
105 views
How to properly cross-validate when optimizing SVM classification?
I'm using SVM binary classification to predict movement of NASDAQ stock prices. My question is regarding cross-validation. I will divide the training data into V subsets. Training will be performed on ...
