Classification using Decision Trees | Data Science Dojo

Data Scientists use machine learning techniques to make predictions under a variety of scenarios. Machine learning can be used to predict whether a borrower will default on his mortgage or not, or what might be the median house value in a given zip code area. Depending upon whether the prediction is being made for a quantitative variable or a qualitative variable, a predictive model can be categorized as regression model (e.g. predicting median house values) or classification (e.g. predicting loan defaults) model.

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Great article! You did an amazing job explaining the trees.

It was indeed very well written.

Thank you.

Its a really good article.
I want to add, that for evaluation metrics use metric library. It will save you from doing things manually like classification errors, precision, recall and accuracy etc.

Can you please clarify me about the data set, I am bit confused