I am not just starting out. I do know about random forest and SVM's. And have used random forest on the dataset, but didn't do much help.

I always believed that simple things would be much better in times when compared with complex things. And I use the same in my life, trading, and anywhere.

So I went through this, minimal method of doing logistic regression accompanied with interactions. Even though chi squares values and respective p values are significant with interactions. The interaction isn't helping me improving the metric. The probabilities for outcome as one is less than 50 for all the test instances.