Robust Regression for Machine Learning in Python

 By Machine Learning Mastery - 2020-10-04

Description

Regression is a modeling task that involves predicting a numerical value given an input. Algorithms used for regression tasks are also referred to as “regression” algorithms, with the most widely know ...

Summary

  • Regression is a modeling task that involves predicting a numerical value given an input.
  • Outliers in a dataset can skew summary statistics calculated for the variable, such as the mean and standard deviation, which in turn can skew the model towards the outlier values, away from the central mass of observations.
  • We can see that Theil Sen regression achieves a MAE of about 4.371 on this dataset, outperforming the linear regression model as well as RANSAC and Huber regression.
  • In this case, we can see that the line of best fit is aligned with the main body of the data.

 

Topics

  1. Machine_Learning (0.27)
  2. Backend (0.07)
  3. NLP (0.05)

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