11_DataScience_with_KNIME_an_Introduction
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Data Science with KNIME - An Introduction to Data Science using Churn Prediction
This workflow illustrates how to do churn prediction with KNIME Analytics Platform.
Nodes
- Column Filter6 ×
- Column Rename6 ×
- Column Appender5 ×
- Partitioning3 ×
- Random Forest Learner3 ×
- Random Forest Predictor3 ×
- Color Manager2 ×
- Decision Tree Learner2 ×
- Decision Tree Predictor2 ×
- Scorer2 ×
- Column Rename (Regex)1 ×
- Column Selection Configuration1 ×
- Data Explorer (JavaScript)1 ×
- Equal Size Sampling1 ×
- Excel Reader1 ×
Excel Reader (XLS)1 ×- File Reader1 ×
- File Reader1 ×
- Gradient Boosted Trees Learner1 ×
- Gradient Boosted Trees Predictor1 ×
- Integer Configuration1 ×
- Joiner1 ×
- Joiner1 ×
- Logistic Regression Learner1 ×
- Logistic Regression Predictor1 ×
- Math Formula1 ×
- Merge Variables1 ×
- Naive Bayes Learner1 ×
- Naive Bayes Predictor1 ×
- Number To String1 ×
- Number To String1 ×
- Parameter Optimization Loop End1 ×
- Parameter Optimization Loop Start1 ×
- Rule Engine1 ×
- Rule Engine Variable1 ×
- Scatter Plot (JavaScript)1 ×
- Scorer1 ×
- Single Selection Configuration1 ×
- Table Creator1 ×
- Table Row to Variable1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Ensemble Learning Wrappers
- FeatureKNIME Excel Support
- FeatureKNIME JavaScript Views
- FeatureKNIME JavaScript Views (Labs)
- Show all 9 modules
Links
- No links available