Difference between revisions of "...predict values"
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I want to... | I want to... | ||
− | * ...forecast the future [[Time Series Forecasting Methods - | + | * ...forecast the future [[Time Series Forecasting Methods - Statistical]] |
* ...be fast, nice line fittings, then try the [[Linear Regression]] | * ...be fast, nice line fittings, then try the [[Linear Regression]] | ||
* ...small dataset, nice line fittings, then try the [[Bayesian Linear Regression]] | * ...small dataset, nice line fittings, then try the [[Bayesian Linear Regression]] |
Revision as of 21:01, 21 August 2018
When a value is being predicted, as with stock prices, supervised learning is called regression.
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I want to...
- ...forecast the future Time Series Forecasting Methods - Statistical
- ...be fast, nice line fittings, then try the Linear Regression
- ...small dataset, nice line fittings, then try the Bayesian Linear Regression
- ...fit where small deviations are not penalized, then try Support Vector Regression (SVR)
- ...rank ordered categories, then try the Ordinal Regression
- ...predict event counts, then try the Poisson Regression; log-linear
- ...predict a distribution rather than point prediction with labeled data, then try the Fast Forest Quantile Regression
- ...accuracy matters, I can NOT accept a long training time, and have little memory, then try a Decision Forest Regression
- ...accuracy matters, I can NOT accept a long training time, then try a Boosted Decision Tree Regression with large memory fooprint
- ...accuracy matters, I can accept a long training time, then try a General Regression Neural Network (GRNN)