Imran Ali Syed's Workflows

Random Forest based Feature Weightage (1)

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Features can be assigned weightage through the random forest model. In this regard, RapidMiner's Auto Model comes quite handy. Divide the original data into training and testing datasets before applying the workflow to it.  

Created: 2020-06-30 | Last updated: 2020-06-30

Credits: Imran Ali Syed

Gradient Boosting Trees based Feature Weig... (1)

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Features can be assigned weightage through the gradient boosting trees model. In this regard, RapidMiner's Auto Model comes quite handy. Divide the original data into training and testing datasets before applying the workflow to it. 

Created: 2020-06-30 | Last updated: 2020-06-30

Credits: Imran Ali Syed

CHART based Feature Weightage (1)

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Features can be assigned weightage through the decision tree model. In this regard, RapidMiner's Auto Model comes quite handy. Divide the original data into training and testing datasets before applying the workflow to it. 

Created: 2020-06-30 | Last updated: 2020-06-30

Credits: Imran Ali Syed