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forecasting:regression [2020/12/02 01:09]
jclaudio [Random Forest Regression]
forecasting:regression [2021/09/19 21:59] (current)
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 ==== Decision Tree Regression ==== ==== Decision Tree Regression ====
-**Form:** Universal. Can be used with any form.+**Form:** Universal. Can be used with any form.\\
 **When to use it:** Used when you want to divide your dataset into smaller subs-sets in the form of a tree structure\\ **When to use it:** Used when you want to divide your dataset into smaller subs-sets in the form of a tree structure\\
 **Library used:** [[https://​scikit-learn.org/​stable/​modules/​generated/​sklearn.tree.DecisionTreeRegressor.html#​sklearn.tree.DecisionTreeRegressor|sklearn.tree.DecisionTreeRegressor]]\\ **Library used:** [[https://​scikit-learn.org/​stable/​modules/​generated/​sklearn.tree.DecisionTreeRegressor.html#​sklearn.tree.DecisionTreeRegressor|sklearn.tree.DecisionTreeRegressor]]\\
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 ==== Random Forest Regression ==== ==== Random Forest Regression ====
-**Form:** Universal. Can be used with any form. +**Form:** Universal. Can be used with any form.\\
 **When to use it:** Used when you want to have multiple random decision trees to improve your regression results.\\ **When to use it:** Used when you want to have multiple random decision trees to improve your regression results.\\
 **Library used:** [[https://​scikit-learn.org/​stable/​modules/​generated/​sklearn.ensemble.RandomForestRegressor.html#​sklearn.ensemble.RandomForestRegressor|sklearn.ensemble.RandomForestRegressor]]\\ **Library used:** [[https://​scikit-learn.org/​stable/​modules/​generated/​sklearn.ensemble.RandomForestRegressor.html#​sklearn.ensemble.RandomForestRegressor|sklearn.ensemble.RandomForestRegressor]]\\
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