102 results
- Go to itemIf you want to set out and learn KNIME the first question is how much experience you have and what type of learning you prefer. -…4
- Go to itemA colleague of mine came up with maybe a similar question and we developed some super dirty approach that might give you an idea …0
- Go to itemI built another approach specifically to address this question. You could browse your workflows and locate the workflowset.meta X…0
- Go to itemA colleague of mine came up with maybe a similar question and we developed some super dirty approach that might give you an idea …0
- Go to itemClass for boosting a nominal class classifier using the Adaboost M1 method. Only nominal class problems can be tackled. Often dra…0
- Go to itemClass for boosting a nominal class classifier using the Adaboost M1 method Only nominal class problems can be tackled.Often drama…0
- Go to itemClass for boosting a nominal class classifier using the Adaboost M1 method. For further options, click the 'More' - button in the…0
- Go to itemMeta classifier that enhances the performance of a regression base classifier. Each iteration fits a model to the residuals left …0
- Go to itemMeta classifier that enhances the performance of a regression base classifier Each iteration fits a model to the residuals left b…0
- Go to itemMeta classifier that enhances the performance of a regression base classifier. For further options, click the 'More' - button in …0
- Go to itemDimensionality of training and test data is reduced by attribute selection before being passed on to a classifier. (based on WEKA…0
- Go to itemDimensionality of training and test data is reduced by attribute selection before being passed on to a classifier (based on WEKA …0
- Go to itemDimensionality of training and test data is reduced by attribute selection before being passed on to a classifier. For further op…0
- Go to itemClass for bagging a classifier to reduce variance. Can do classification and regression depending on the base learner. For more i…0
- Go to itemClass for bagging a classifier to reduce variance Can do classification and regression depending on the base learner. For more in…0
- Go to itemClass for bagging a classifier to reduce variance. For further options, click the 'More' - button in the dialog. All weka dialogs…0
- Go to itemClass for performing parameter selection by cross-validation for any classifier. For more information, see: R. Kohavi (1995). Wra…0
- Go to itemClass for performing parameter selection by cross-validation for any classifier. For more information, see: R Kohavi (1995).Wrapp…0