Bhargav Kowshik

Graph attribute importance scores along with top 5

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In the Jupyter notebook, we currently display the 5 attributes that have the highest importance scores in a table, like below. Let's have a graph with all the attributes and...

We currently spot-check the following models: - LogisticRegression - DecisionTreeClassifier - KNeighborsClassifier - SVC - RandomForestClassifier - GradientBoostingClassifier Let's add `Gaussian Naive Bayes (GaussianNB)` to the mix too. - http://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html

We currently have 115 attributes for every changeset. It is practically impossible how all these features look like. But, we could use techniques of Dimensionality reduction and project them into...