Regression and Classification Models
Logistic Regression
This workflow is an example of how to build a basic prediction / classification model using logistic regression.
URL: Logistic Regression Node: Algorithm Settings https://youtu.be/AclQdjxpGA0
Nodes
- Column Filter7 ×
- Expression5 ×
- Bar Chart4 ×
- Sorter3 ×
- Table View3 ×
- Color Manager2 ×
- Column Renamer2 ×
- Histogram2 ×
- Numeric Scorer2 ×
- Scatter Plot2 ×
- Unpivoting2 ×
- Box Plot1 ×
- Date&Time Part Extractor1 ×
- Excel Reader1 ×
- Heatmap1 ×
- Joiner1 ×
- Math Formula1 ×
- Missing Value1 ×
- Random Forest Learner1 ×
- Random Forest Learner (Regression)1 ×
- Random Forest Predictor1 ×
- Random Forest Predictor (Regression)1 ×
- Row Filter1 ×
- Rule Engine1 ×
- Scorer1 ×
- String to Date&Time1 ×
- String To Number1 ×
- Partitioning1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Ensemble Learning Wrappers
- FeatureKNIME Excel Support
- FeatureKNIME Expressions
- FeatureKNIME Javasnippet
- Show all 7 modules
Links
- No links available