# Classification problem with statistically insignificant variables

I am working on a binary classification problem taking one categorical and four numeric variables. I started with t-test and logistic regression, which resulted in high p-values for all the variables I considered.

As, all the variables I considered are statistically insignificant, what should be my next approach for the classification task?

• If you want to classify, you are not interested in hypothesis testing, so should not be interested in $p$-values but rather in classification accuracy. – Tim Dec 8 '15 at 10:54