Forward Selection with Decission Tree in RapidMiner
Jul 4, 2021
Without Forward Selection
Accuracy (~90%)
Importance Factors
With Forward Selection
Maximal number of attributes: 10 (default)
In case number of attributes is 20, the result are same.
Accuracy (95.87%)
Importance Factors
Maximal number of attributes: 5
Accuracy (95.13%)
Importance Factors
Maximal number of attributes: 20
Accuracy (95.13%)
Importance Factors
