Difference between revisions of "...predict values"
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* ...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]] |
+ | * ...fit where small deviations are not penalized, then try [[Support Vector Regression (SVR)]] | ||
* ...rank ordered categories, then try the [[Ordinal Regression]] | * ...rank ordered categories, then try the [[Ordinal Regression]] | ||
* ...predict event counts, then try the [[Poisson Regression]] | * ...predict event counts, then try the [[Poisson Regression]] |
Revision as of 08:48, 1 June 2018
I want to...
- ...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
- ...predict a distribution 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
- ...accuracy matters, I can accept a long training time, then try a Neural Network