Comment for HW #3 - Githubissues

jduyan commented 9 years ago

@ElizabethLe89

I see you successfully downloaded the Pima Indians dataset from UCI, described the content in your own words, the features and formulated hypothesis on which may be relevant in predicting diabetes. Imported the dataset to a Pandas dataframe and explored the data.

Were you able to compare the 5-fold CV score for Naïve Bayes and for KNN to find which model is more accurate? This may be in your file and I just missed it.

Out of personal curiosity, what are you using the file in this folder for? https://github.com/ElizabethLe89/DAT_SF_16/tree/master/homework/.ipynb_checkpoints

@ghego @Breucopter

ghego commented 9 years ago

@jduyan, @ElizabethLe89 : you should add the homework/.ipynb_checkpoints folder to the .gitignore file. They are just temporary saves to ipynb files.

ghego commented 9 years ago

hey Elizabeth, good job with HW3!

a couple of comments:

scikit learn offers cross validation score out of the box, did you find the function to do it?
I didn't see the Naïve Bayes classification, any problem with that? Let us know if we can help

Keep rocking!

ElizabethLe89 / DAT_SF_16

Comment for HW #3 #4