Predicts the class per row based on the learned model. The class
probability is the product of the probability per attribute and the
probability of the class attribute itself.
The probability for nominal values is the number of occurrences of the class value with the given value divided by the number of total occurrences of the class value. The probability of numerical values is calculated by assuming a normal distribution per attribute.
Options
Popular Predecessors
- Naive Bayes Learner44 %
- Partitioning15 %
Excel Reader (XLS)2 %- X-Partitioner2 %
- Column Filter2 %
- CSV Reader2 %
- Linear Regression Learner2 %
Scorer1 %File Reader1 %Number To String1 %- Normalizer (Apply)1 %
- Logistic Regression Learner< 1 %
Joiner< 1 %Column Rename< 1 %- Decision Tree Learner< 1 %
- Concatenate< 1 %
- Missing Value (Apply)< 1 %
- SMOTE< 1 %
- Equal Size Sampling< 1 %
- Normalizer< 1 %
- Model Reader< 1 %
- Scorer< 1 %
- Rank Correlation< 1 %
- Auto-Binner (Apply)< 1 %
- Normalizer (PMML)< 1 %
- Auto-Binner< 1 %
- Bootstrap Sampling< 1 %
- Number to String< 1 %
- PMML Reader< 1 %
- PCA Apply< 1 %
- Naive Bayes Predictor< 1 %
- String to Number< 1 %
- Correlation Filter< 1 %
- Reference Column Filter< 1 %
- Number to String (PMML)< 1 %
Excel Reader (XLS)< 1 %- XPath< 1 %
- Feature Selection Filter< 1 %
- Feature Selection Loop Start (1:1)< 1 %
- k-Means< 1 %
- SVM Learner< 1 %
- Table Transposer< 1 %
- Statistics< 1 %
- Color Manager< 1 %
- Category to Class< 1 %
- Scatter Plot (JavaScript)< 1 %
- Excel Reader< 1 %
- Table Creator< 1 %
Interval Loop Start< 1 %- Decision Tree Predictor< 1 %
- RProp MLP Learner< 1 %
- Polynomial Regression Learner< 1 %
Row Splitter (deprecated)< 1 %Row Filter (deprecated)< 1 %- GroupBy< 1 %
- Normalizer Apply (PMML)< 1 %
- Row Sampling< 1 %
- DB Query Reader< 1 %
- Table Reader< 1 %
- Random Forest Learner< 1 %
- DB Reader< 1 %
- Nominal Value Row Filter< 1 %
- Constant Value Column< 1 %
- X-Aggregator< 1 %
- Fuzzy c-Means< 1 %
- Numeric Binner< 1 %
- Cell Splitter< 1 %
Column Appender< 1 %- Linear Correlation< 1 %
- CAIM Applier< 1 %
- Missing Value< 1 %
- Rule-based Row Filter< 1 %
- Rule Engine< 1 %
Color Appender< 1 %- Model Loop Start< 1 %
- Boosting Learner Loop Start< 1 %
- File Reader< 1 %
- Joiner< 1 %
- NGram Creator< 1 %
- Math Formula< 1 %
- Data Explorer< 1 %
- Color Appender< 1 %
- ARFF Reader< 1 %
PCA Apply< 1 %- Missing Value Column Filter< 1 %
- String Replacer< 1 %
- Shuffle< 1 %
- Cluster Assigner< 1 %
- MultiLayerPerceptron Predictor< 1 %
- One to Many< 1 %
- String to Number (PMML)< 1 %
- Crosstab< 1 %
- Boosting Predictor Loop Start< 1 %
- Column Filter (legacy)< 1 %
- Column Appender< 1 %
Table Reader< 1 %- Feature Selection Loop Start (2:2)< 1 %
Recursive Loop Start< 1 %String To Number< 1 %- Column Resorter< 1 %
- Domain Calculator< 1 %
- Constant Value Column Filter< 1 %
- Denormalizer< 1 %
- Column Filter (PMML)< 1 %
- RowID< 1 %
- Cell to Model< 1 %
- Strings to Document< 1 %
Database Looping< 1 %- Table Row to Variable Loop Start< 1 %
- Double to Integer< 1 %
- Timer Info< 1 %
- DB Numeric-Binner< 1 %
- Boosting Predictor Loop End< 1 %
- Table View (JavaScript)< 1 %
- SHAP Loop Start< 1 %
CSV Reader< 1 %PMML Reader< 1 %- String Manipulation< 1 %
- Numeric Outliers< 1 %
- Extract URI Info< 1 %
Variable to Table Column< 1 %Database Reader< 1 %Line Reader< 1 %Model Reader< 1 %- Java Snippet< 1 %
- Chunk Loop Start< 1 %
- Column List Loop Start< 1 %
- Group Loop Start< 1 %
- Fuzzy Rule Learner< 1 %
- PNN Predictor< 1 %
- Hierarchical Clustering< 1 %
- K Nearest Neighbor< 1 %
PCA< 1 %- Logistic Regression Predictor< 1 %
- Regression Predictor< 1 %
- Association Rule Learner< 1 %
- Random Forest Predictor< 1 %
- Simple Regression Tree to PMML< 1 %
- PMML Simple Regression Tree Predictor< 1 %
- Simple Regression Tree Predictor< 1 %
Cell Replacer< 1 %- Column Comparator< 1 %
- Category to Number (Apply)< 1 %
- Category to Number< 1 %
- Number to Category (Apply)< 1 %
- Column Merger< 1 %
Linear Correlation< 1 %- CAIM Binner< 1 %
- Nominal Value Row Splitter< 1 %
- Reference Row Filter< 1 %
- Pivot< 1 %
Number To String (PMML)< 1 %- Column Splitter< 1 %
- Decision Tree to Ruleset< 1 %
- Numeric Outliers (Apply)< 1 %
- Single sample t-test< 1 %
- HiLite Table (legacy)< 1 %
- PMML to Cell< 1 %
- Cell to PMML< 1 %
- Voting Loop End< 1 %
- H2O Naive Bayes Learner< 1 %
- Math Formula (Multi Column)< 1 %
- Radar Plot Appender< 1 %
- Spark Line Appender< 1 %
- Frequency Filter< 1 %
- Case Converter< 1 %
- ROC Curve (JavaScript)< 1 %
- Container Input (JSON)< 1 %
- DELETE Request< 1 %
- GET Request< 1 %
- Date&Time Difference< 1 %
- Create Date&Time Range< 1 %
- Date&Time-based Row Filter< 1 %
- Modify Date< 1 %
- Window Loop Start< 1 %
- RDKit Diversity Picker< 1 %
- Variable to Table Row< 1 %
- File Reader (Complex Format)< 1 %
Generic Loop Start< 1 %- SOTA Predictor< 1 %
- SVM Predictor< 1 %
- Gradient Boosted Trees Predictor< 1 %
- Binner (Dictionary)< 1 %
- Create Table Structure< 1 %
- Numeric Binner (PMML)< 1 %
- Sorter< 1 %
- Rule-based Row Splitter< 1 %
CASE Switch Data (Start)< 1 %- Data Generator< 1 %
- Shape Manager< 1 %
- ROC Curve (legacy)< 1 %
- k-Medoids< 1 %
- Read Excel Sheet Names< 1 %
- Bag Of Words Creator< 1 %
- Document Vector< 1 %
- Document Vector Hashing< 1 %
- JSON Reader< 1 %
- Workflow Service Input< 1 %
Views
- This node has no views
Workflows
!Modern UI_ABC-XYX-RFM AutoML SuperstoreKNIME Hub- 0_install_AI_extensionsKNIME Hub
- 01_AutoML_Component_via_Interactive_ViewsKNIME Hub
- 01_Combining_Classifiers_using_Prediction_FusionKNIME Hub
- 01_Explainable_Artificial_Intelligence_(XAI)_SimpleKNIME Hub
- Show all 368 workflows
Links
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.