I'm currently in an Artificial Intelligence course at University and some friends and I opted to do an optional assignment on machine learning. The basis of this assignment is that we are given a test set .csv file which consists of thousands of rows and about 300 columns. All of the columns consist of binary number sets and some have decimal numbers with the last column being a Boolean. We need to be able to find the most true rows on the evaluation set in order to get the extra credit. While we have learned some concepts in the course we haven't encountered anything this big and our professor is not going to offer any help until after we have submitted. We were looking into using weka since we are all pretty fluent in java but we aren't really sure what to do with it. We are open to any and all help or resources that you can suggest. I promise to repost and let you all know how it goes!
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