Day 8

Today was my first day back in the lab after being out of town for a week. I began the day by refreshing my memory on what I had been doing before I left: I had been working on creating a training array. I finished that part relatively quickly because I was already almost done with it. I then used my index array to create an array of training data, which was the data left over from training. The training array only includes fifty samples from each of nine classes, so the testing data array is much larger than it. Once I had my arrays set up, I passed them to the machine learning pipeline so as to later be able to test each preprocessing method. I will test these methods by finding and recording the overall accuracy, mean-class accuracy, and kappa statistic of each method, similar to what I did during the tutorial. I have already set up the code to run these metrics. I am almost ready to run the trials on each preprocessing method, but Ron and I discussed a change I have to make in my previous code: since indices begin at zero and I should not use data with the label of zero (because it is represents values that are not labeled as any class), I must subtract one from each of my label data values (to begin at what would have been one) and adjust my code to accommodate this. I began making this alteration today and I plan to continue it tomorrow.

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