Add Naive Bayes and SVM loss values.

[gksb88]

Currently the only method of comparison is cross-validation scores. Once accuracy is added, that will be another method.

Cross-entropy loss = Sum ( y * log yhat)
Create a table accuracy and result of the 10 fold cross entropy loss.
https://www.openml.org/a/estimation-procedures/1
https://ml-cheatsheet.readthedocs.io/en/latest/loss_functions.html#cross-entropy