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→Spring 2018
[[Kyran Adams]] [[Work Logs]] [[Kyran Adams (Work Log)|(log page)]]
2018-03-28: Changed to using sykitlearn random forest instead of tensorflow, because this would allow me to see which features have a lot of value and might be affecting the model negatively. One observation I made is that certain years affect the model highly... Maybe I should generalize it for the occurrence of any year. Also, I discovered that just using hand-picked features improved accuracy by 10% rather than using all of the word counts.
2018-03-26: Rewrote the classifier to handle missing data. Removed normalization of data because it only makes sense for the logistic regression classifier, not the random tree classifier. Even with the reorganized data, I still have a lot of false negatives....
