Cleaned up the notebook a little
Here is the matrix to play with
I must have changed something
Merge branch 'master' of https://github.com/timothyb0912/cs289_final_project
Added specificity, sensitivity, recall, and precision to the things returned in the error dataframe when predicting
Naive decision trees built at the following sample sizes.
Graphs produced based on comparisons of the naive tree and hybrid and logistic regression
Combined dataframe of naive tree errors and related hybrid or pure logistic errors
The error dataframes for the naive tree built at various sample sizes.
Dataframe showing how to make learning curve and basically run entire project
The hybrid logit models built at various training set sizes
The pure logistic regression models built at various training set sizes
beginning draft of the final paper
I feel like I don't have to add this but I will due to paranoia anyway
Merge remote-tracking branch 'upstream/master'