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Posted on June 19, 2019 at 6:49am 0 Comments 0 Likes
A myriad of options exist for classification. In general, there isn't a single "best" option for every situation. That said, three popular classification methods— Decision Trees, k-NN & Naive Bayes—can be tweaked for practically every situation.
Overview
Naive Bayes and K-NN, are both examples of supervised learning (where the…
ContinuePosted on June 15, 2019 at 7:53am 0 Comments 0 Likes
Posted on June 10, 2019 at 5:30am 0 Comments 0 Likes
R-squared can help you answer the question "How does my model perform, compared to a naive model?". However, r^{2} is far from a perfect tool. Probably the main issue is that every data set contains a certain amount of unexplainable data. R-squared can't tell the difference between the explainable and the…
ContinuePosted on May 31, 2019 at 8:00am 0 Comments 0 Likes
R-squared measures how well your data fits a regression line. More specifically, it's how much variation in the…
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