Renders a decision tree view on an image. Currently supported image type is PNG. The data input is optional. It can be used to provide a column with color information. This color information is needed for the chart in the nodes of the decision tree.
Options
Popular Predecessors
- Decision Tree Learner38 %
- Decision Tree Predictor11 %
- Scorer3 %
- Partitioning3 %
PMML Reader3 %CSV Reader3 %- Decision Tree to Ruleset3 %
- Color Manager3 %
- Cell to PMML1 %
Color Appender1 %Excel Reader (XLS)1 %- Decision Tree View (JavaScript)1 %
- Statistics< 1 %
- X-Partitioner< 1 %
PMML Reader< 1 %- Missing Value< 1 %
- X-Aggregator< 1 %
- Hierarchical Clustering< 1 %
- PMML Reader< 1 %
- Simple Regression Tree Predictor< 1 %
- Column Filter< 1 %
- Cell to Model< 1 %
- Table to PMML Ensemble< 1 %
- Scorer (JavaScript)< 1 %
Naive Bayes Learner< 1 %- Gradient Boosted Trees to PMML< 1 %
Random Forest Learner< 1 %Joiner< 1 %XLS Reader< 1 %- Naive Bayes Learner< 1 %
- Random Forest Predictor< 1 %
- Concatenate< 1 %
- Extract Color< 1 %
- Numeric Scorer< 1 %
- LibraryMCS< 1 %
Database Reader< 1 %Random Forest Predictor< 1 %- Simple Regression Tree to PMML< 1 %
Excel Reader (XLS)< 1 %- SVM Learner< 1 %
- Gradient Boosted Trees Predictor (Regression)< 1 %
- Random Forest Learner< 1 %
- CSV Reader< 1 %
- Excel Reader< 1 %
Database Connection Table Reader< 1 %Logistic Regression Learner< 1 %- GroupBy< 1 %
- Weka Predictor (3.7)< 1 %
- PNN Predictor< 1 %
- K Nearest Neighbor< 1 %
- Random Forest Predictor (Regression)< 1 %
- Row Splitter< 1 %
- Denormalizer (PMML)< 1 %
Excel Reader (XLS)< 1 %- Feature Calculator (BETA)< 1 %
Table Reader< 1 %- k-Means< 1 %
- Missing Value Column Filter< 1 %
- Conditional Box Plot (legacy)< 1 %
- Read Images< 1 %
Naive Bayes Predictor< 1 %- RProp MLP Learner< 1 %
- Polynomial Regression Learner< 1 %
- Gradient Boosted Trees Predictor< 1 %
- Data Explorer< 1 %
Model Reader< 1 %- Decision Tree to Image< 1 %
K Nearest Neighbor< 1 %- MultiLayerPerceptron Predictor< 1 %
Tree Ensemble Learner< 1 %Tree Ensemble Predictor< 1 %Random Forest Learner< 1 %- Tree Ensemble Model Extract< 1 %
- Equal Size Sampling< 1 %
- Box Plot (legacy)< 1 %
- ROC Curve (legacy)< 1 %
- Category to Class< 1 %
- Image to Table< 1 %
- Linear Regression Learner< 1 %
- Logistic Regression Learner< 1 %
Numeric Scorer< 1 %- SOTA Predictor< 1 %
- Tree Ensemble Learner< 1 %
Tree Ensemble Predictor< 1 %- Random Forest Learner (Regression)< 1 %
- PMML Simple Regression Tree Predictor< 1 %
- PMML Model Appender< 1 %
Linear Correlation< 1 %- Normalizer< 1 %
- Normalizer (PMML)< 1 %
- String Manipulation< 1 %
- DB Reader< 1 %
- ROC Curve (JavaScript)< 1 %
- Parameter Optimization Loop End< 1 %
- PMML Gradient Boosted Trees Predictor< 1 %
- Linear Correlation< 1 %
- Rule Engine< 1 %
- DB Query Reader< 1 %
- 2D/3D Scatterplot< 1 %
- ARFF Reader< 1 %
File Reader< 1 %Scorer< 1 %- Numeric Binner< 1 %
Number To String< 1 %- Row Filter< 1 %
- Denormalizer< 1 %
- Ungroup< 1 %
Merge Variables< 1 %- R Predictor< 1 %
- R to PMML< 1 %
Binary Objects to Files< 1 %Parameterized Database Query< 1 %Recursive Loop Start< 1 %- Fuzzy Rule Learner< 1 %
- PNN Learner (DDA)< 1 %
- Hierarchical Cluster Assigner (local)< 1 %
Simple Regression Tree Predictor< 1 %Gradient Boosted Trees Predictor< 1 %- Tree Ensemble Statistics< 1 %
- Empty PMML Creator< 1 %
- PMML Validation Data Appender< 1 %
- Number to Category (Apply)< 1 %
- String to Number< 1 %
- Column Resorter< 1 %
- Create Table Structure< 1 %
- Domain Calculator< 1 %
- Nominal Value Row Splitter< 1 %
- Subset Matcher< 1 %
- Column Filter (PMML)< 1 %
Column Rename< 1 %- RowID< 1 %
- Numeric Row Splitter< 1 %
- Data Generator< 1 %
- Crosstab< 1 %
- Lift Chart (legacy)< 1 %
- Boosting Learner Loop End< 1 %
- Boosting Predictor Loop Start< 1 %
- Math Formula< 1 %
Read Excel Sheet Names (XLS)< 1 %- Java Snippet (simple)< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- Heatmap (JavaScript)< 1 %
- Scatter Plot (JavaScript)< 1 %
- Container Input (JSON)< 1 %
- Global Thresholder< 1 %
- Apply Color Settings To Labels< 1 %
Column Filter QuickForm (legacy)< 1 %- GET Request< 1 %
- XGBoost Predictor< 1 %
- Information Gain Calculator< 1 %
- Binary Objects to PNGs< 1 %
- Feature Selection Filter< 1 %
- Feature Selection Loop End< 1 %
- Regression Predictor< 1 %
- Association Rule Learner< 1 %
- Gradient Boosted Trees Learner (Regression)< 1 %
- Cell Splitter By Position< 1 %
- Number to String< 1 %
- Joiner< 1 %
- Table Manipulator< 1 %
- Value Counter< 1 %
- Single Selection (legacy)< 1 %
- Container Output (Table)< 1 %
Views
- Decision Tree View
- The rendered image. The second tab provides a dynamic decision tree view which allows to explore the decision tree.
Workflows
04_Exporting_a_Decision_Tree_as_ImageKNIME Hub- 04_Exporting_a_Decision_Tree_as_ImageKNIME Hub
- Blog - Predictive Nodes in KNIMEKNIME Hub
- CAROZKNIME Hub
- credit scoring by neural networkKNIME Hub
- Show all 37 workflows
Links
- No links available
Developers
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.