Data Science & Developer Roadmaps with Chat & Free Learning Resources

The F-Test for Regression Analysis

 Towards Data Science

The F-test, when used for regression analysis, lets you compare two competing regression models in their ability to “explain” the variance in the dependent variable.

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How Useful is F-test in Linear Regression?

 Towards Data Science

Not very much, but we can improve it. Continue reading on Towards Data Science

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How to do F-test in R | Compare variances in Rstudio

 R-bloggers

The f-test in R is a powerful tool for comparing variances and drawing significant conclusions from your data. Understanding how to perform an F-test can transform your data analysis capabilities, all...

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F1 to F-beta

 Towards AI

Model Evaluation Image by Author F1 Score The F-1 score is a popular binary classification metric representing a balance between precision and recall. It is the Harmonic mean of precision and recall....

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Hypothesis Testing

 Analytics Vidhya

In any business scenario, any question can generally have two answers. Whenever we are faced with some problems, we have to make choices and to make those choices we use testing.

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Testing

 CherryPy Documentation and Tutorials

Testing To run the regression tests, first install tox: then run it To run individual tests type:

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Testing

 Matplotlib User's Guide

Testing Matplotlib uses the pytest framework. The tests are in lib/matplotlib/tests , and customizations to the pytest testing infrastructure are in matplotlib.testing . Requirements To run the tests ...

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A/B Testing- part 2

 Towards Data Science

This is the second post from my series on A/B testing. In part 1, we learned the idea behind an A/B test. In this post, I walk you through the statistics behind A/B testing and focus more on…

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The Hypothesis Tester’s Appendix

 Towards Data Science

If you’ve just read my article “Smart COVID-19 Decision-Making” and you’re used to classical statistical inference, you might notice I skipped a few steps. Let’s take a closer look by following along…...

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STATISTICAL TESTS

 Analytics Vidhya

Overview of most common Statistical tests. “STATISTICAL TESTS” is published by Kallepalliravi in Analytics Vidhya.

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Chapter 28 - An Intro to Testing

 Python 101

Python includes a couple of built-in modules for testing your code. They two methods are called doctest and unittest . We will look at how to use doctest first and in the second section we will intro...

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The art of A/B testing

 Towards Data Science

A/B testing is not only about splitting incoming traffic to different versions of a service. It is also about being able to interpret the results, using a solid statistics framework.

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