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Machine Learning Quick Reference

You're reading from  Machine Learning Quick Reference

Product type Book
Published in Jan 2019
Publisher Packt
ISBN-13 9781788830577
Pages 294 pages
Edition 1st Edition
Languages
Author (1):
Rahul Kumar Rahul Kumar
Profile icon Rahul Kumar
Toc

Table of Contents (18) Chapters close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. Quantifying Learning Algorithms 2. Evaluating Kernel Learning 3. Performance in Ensemble Learning 4. Training Neural Networks 5. Time Series Analysis 6. Natural Language Processing 7. Temporal and Sequential Pattern Discovery 8. Probabilistic Graphical Models 9. Selected Topics in Deep Learning 10. Causal Inference 11. Advanced Methods 1. Other Books You May Enjoy Index

Autocorrelation


Autocorrelation is a measure of the correlation between the lagged values of a time series. For example, r1 is the autocorrelation between yand yt-1; similarly, ris the autocorrelation between yand yt-2. This can be summarized in the following formula:

In the preceding formula, T is the length of the time series.

 

For example, say that we have the correlation coefficients, as shown in the following diagram:

To plot it, we get the following:

The following are some observations from this autocorrelation function plot:

  • r4 is higher than other lags, which is mostly because of a seasonal pattern
  • The blue lines are the indicators of whether correlations are significantly different from zero
  • Autocorrelation at lag 0 is always 1
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