This node performs polynomial regression on the input data and computes the coefficients that minimize the squared error. The user must choose one column as target (dependent variable) and a number of independent variables. By default, polynomials with degree 2 are computed, which can be changed in the dialog.
Options
Regression settings
View settings
Popular Predecessors
- Partitioning7 %
String To Number6 %Joiner5 %Table Row To Variable Loop Start3 %Numeric Scorer3 %- Excel Reader2 %
XLS Reader2 %Linear Correlation1 %- Numeric Outliers1 %
- X-Partitioner1 %
Excel Reader (XLS)1 %- Linear Regression Learner1 %
- CSV Reader1 %
Table Row to Variable1 %- Lag Column1 %
Interval Loop Start1 %Column Appender1 %- Missing Value1 %
- Scatter Plot (Plotly)1 %
- Table Row to Variable1 %
- Try (Data Ports)< 1 %
Database Reader< 1 %Regression Predictor< 1 %- Table Creator< 1 %
- Regression Predictor< 1 %
Extract Date&Time Fields< 1 %- Column List Loop Start< 1 %
- Column Filter< 1 %
- Group Loop Start< 1 %
- One to Many< 1 %
Row Filter (deprecated)< 1 %- R Source (Table)< 1 %
- Numeric Scorer< 1 %
- Number to String< 1 %
- File Reader (Complex Format)< 1 %
Table Column to Variable< 1 %- Bootstrap Sampling< 1 %
- Rule Engine< 1 %
- Rule-based Row Splitter< 1 %
- Boosting Learner Loop Start< 1 %
Scorer< 1 %- String to Number< 1 %
- Data Explorer< 1 %
- Scatter Plot (JavaScript)< 1 %
- File Reader< 1 %
- GroupBy< 1 %
- Pivot< 1 %
- String Manipulation< 1 %
- Python Script (legacy)< 1 %
- ARFF Reader< 1 %
Backward Feature Elimination Start (1:1)< 1 %- Polynomial Regression Learner< 1 %
- Concatenate< 1 %
- Column Auto Type Cast< 1 %
- RowID< 1 %
Rank Correlation< 1 %- Math Formula< 1 %
- Line Plot (JavaScript)< 1 %
- PCA Apply< 1 %
- PCA< 1 %
- Nominal Value Row Filter< 1 %
- String Manipulation (Variable)< 1 %
- Integer Configuration< 1 %
- Interactive Value Filter Widget< 1 %
- Violin Plot (Plotly)< 1 %
- Color Appender< 1 %
CSV Reader< 1 %File Reader< 1 %- Java Snippet< 1 %
- Feature Selection Loop Start (1:1)< 1 %
Counting Loop Start< 1 %PCA< 1 %- Random Forest Learner (Regression)< 1 %
- Category to Number< 1 %
- Correlation Filter< 1 %
- Domain Calculator< 1 %
- Equal Size Sampling< 1 %
- Missing Value Column Filter< 1 %
Row Splitter (deprecated)< 1 %- Low Variance Filter< 1 %
- Denormalizer< 1 %
- Normalizer< 1 %
Column Rename< 1 %- Row Sampling< 1 %
- Sorter< 1 %
- Rule-based Row Filter< 1 %
- Statistics< 1 %
- Color Manager< 1 %
- Similarity Search< 1 %
- Parameter Optimization Loop Start< 1 %
- String to Date&Time< 1 %
Variable to Table Column< 1 %- Java Edit Variable< 1 %
- K Nearest Neighbor< 1 %
- One-way ANOVA< 1 %
- DB Reader< 1 %
- Math Formula (Variable)< 1 %
Excel Reader (XLS)< 1 %- Table View (JavaScript)< 1 %
- Date&Time Difference< 1 %
- Table Row to Variable Loop Start< 1 %
- Joiner< 1 %
- Date&Time Part Extractor< 1 %
- Column Expressions (legacy)< 1 %
- Feature Selection Filter< 1 %
Color Appender< 1 %- Empty Table Creator< 1 %
- Try (Variable Ports)< 1 %
- SVM Predictor< 1 %
- Auto-Binner< 1 %
- Weka Predictor (3.7)< 1 %
- Column Selection Configuration< 1 %
- Moving Aggregator< 1 %
- Nominal Value Row Splitter< 1 %
- Outlier Removal< 1 %
Generic Loop Start< 1 %Logistic Regression Learner< 1 %- Column Aggregator< 1 %
- Table Transposer< 1 %
- Math Formula (Multi Column)< 1 %
- Multiple Selections (legacy)< 1 %
Table Row to Variable< 1 %PCA Apply< 1 %- Reference Row Filter< 1 %
- Rank< 1 %
- RDKit Descriptor Calculation< 1 %
- Merge Variables< 1 %
- Boosting Learner Loop End< 1 %
Loop End< 1 %- Reference Column Splitter< 1 %
- H2O to Table< 1 %
Table Reader< 1 %- Feature Selection Loop Start (2:2)< 1 %
Loop End (2 ports)< 1 %Simple Regression Tree Predictor< 1 %- Simple Regression Tree Predictor< 1 %
- Column Combiner< 1 %
- Create Table Structure< 1 %
- Reference Column Filter< 1 %
- Number Rounder< 1 %
- Value Counter< 1 %
- DB Query Reader< 1 %
- Counter Generation< 1 %
- Model Loop Start< 1 %
Read Excel Sheet Names (XLS)< 1 %- Java Snippet Row Splitter< 1 %
- Integer Slider Configuration< 1 %
- Column Filter (legacy)< 1 %
- Date&Time to String< 1 %
- Extract Time Window (legacy)< 1 %
- Cell Splitter< 1 %
- Cell Splitter By Position< 1 %
- Table Editor (JavaScript)< 1 %
Backward Feature Elimination Filter< 1 %- X-Aggregator< 1 %
- k-Means< 1 %
- Tree Ensemble Predictor (Regression)< 1 %
- Create Bit Vector< 1 %
Number To String (PMML)< 1 %String To Number (PMML)< 1 %- Column Splitter< 1 %
- Unpivot< 1 %
Merge Variables< 1 %- ROC Curve (legacy)< 1 %
Excel Reader (XLS)< 1 %- Java Snippet (simple)< 1 %
Python Script (1⇒1)< 1 %- Date&Time-based Row Filter< 1 %
- Moving Average< 1 %
- Benchmark Start (Memory Monitoring)< 1 %
- logD< 1 %
- Strings to Binary Objects< 1 %
- Inject Variables (Data)< 1 %
Table Column to Variable< 1 %Database Connection Table Reader< 1 %- Loop End (Column Append)< 1 %
- Chunk Loop Start< 1 %
- Logistic Regression Learner< 1 %
- SMOTE< 1 %
- Gradient Boosted Trees Predictor (Regression)< 1 %
- Tree Ensemble Model Extract< 1 %
Concatenate (Optional in)< 1 %- Category to Number (Apply)< 1 %
- Column Resorter< 1 %
- Linear Correlation< 1 %
- Double to Integer< 1 %
- Duplicate Row Filter< 1 %
- Extract Missing Value Cause< 1 %
- Filter Apply< 1 %
- HiLite Row Splitter< 1 %
- Normalizer (Apply)< 1 %
- One to Many (PMML)< 1 %
- Normalizer (PMML)< 1 %
- String to Number (PMML)< 1 %
- Numeric Row Splitter< 1 %
- String Replacer< 1 %
- Rank Correlation< 1 %
- Numeric Outliers (Apply)< 1 %
CASE Switch Variable (Start)< 1 %- Empty Table Switch< 1 %
- IF Switch< 1 %
CASE Switch Data (Start)< 1 %- Data Generator< 1 %
- Extract Color< 1 %
Parquet Reader< 1 %- K Nearest Neighbor (Distance Function)< 1 %
- 3D Scatter Plot (Plotly)< 1 %
- Model Loop End< 1 %
- Radar Plot Appender< 1 %
- Integer Input (legacy)< 1 %
- R Predictor< 1 %
- UNIX Timestamp to Date&Time< 1 %
- String to Date/Time (legacy)< 1 %
- Row Splitter (col+)< 1 %
- Molecular Properties< 1 %
- Extract Variables (Data)< 1 %
- Variable to Table Row< 1 %
Line Reader< 1 %- Table Reader< 1 %
- Variable Creator< 1 %
- Counting Loop Start< 1 %
- MultiLayerPerceptron Predictor< 1 %
- Scorer< 1 %
- Random Forest Learner< 1 %
- Column Rename (Regex)< 1 %
- Many to One< 1 %
- Filter Apply Row Splitter< 1 %
- String Manipulation (Multi Column)< 1 %
- Shape Manager< 1 %
- Column Filter Configuration< 1 %
- String Input (legacy)< 1 %
- Integer Widget< 1 %
- Slider Widget< 1 %
- Column Selection Widget< 1 %
- Maximum Finder< 1 %
- Window Loop Start< 1 %
Views
- Learned Coefficients
- Shows all learned coefficients all attributes.
- Scatter Plot
- Shows the data points and the regression function in one dimension.
Workflows
[ISPRENL S11] Group 5 MCO2 WorkflowKNIME Hub- 01_Accessing_Transforming_and_Modeling_Time_SeriesKNIME Hub
- 01_Accessing_Transforming_and_Modeling_Time_SeriesKNIME Hub
- 01_Accessing_Transforming_and_Modeling_Time_SeriesKNIME Forum
- 01_Accessing_Transforming_and_Modeling_Time_SeriesKNIME Hub
- Show all 165 workflows
Links
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Developers
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