LAB02_Classification_LabScheme_Shuttle final answer
Linear Regression
Linear regression: predict house price.
- Partition data into training and test set
- Train a linear regression model
- Apply the trained model to the test set
- Handle missing values
- Evaluate the model performance with the Numeric Scorer node
URL: Guide to Intelligent Data Science https://www.datascienceguide.org/
Nodes
- Scorer (JavaScript)15 ×
- File Reader8 ×
- SVM Predictor8 ×
- Number To String7 ×
- Partitioning7 ×
- SVM Learner7 ×
- ROC Curve6 ×
- ROC Curve (JavaScript)6 ×
- Normalizer5 ×
- X-Aggregator5 ×
- X-Partitioner5 ×
- CSV Reader4 ×
- CSV Writer4 ×
- Cell Extractor3 ×
- Scorer3 ×
- Table Row to Variable3 ×
- Decision Tree Learner2 ×
- Decision Tree Predictor2 ×
- K Nearest Neighbor1 ×
- Math Formula1 ×
- Naive Bayes Learner1 ×
- Naive Bayes Predictor1 ×
- Normalizer (Apply)1 ×
- Parameter Optimization Loop End1 ×
- Parameter Optimization Loop Start1 ×
- Row Aggregator1 ×
- Table Creator1 ×
- Table View1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME JavaScript Views
- FeatureKNIME JavaScript Views (Labs)
- FeatureKNIME Math Expression (JEP)
- FeatureKNIME Optimization extension
- Show all 6 modules
Links
- No links available