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 Successors
- Scorer42 %
- X-Aggregator7 %
- Scorer (JavaScript)5 %
- Numeric Scorer2 %
- ROC Curve (legacy)2 %
- ROC Curve (JavaScript)1 %
- ROC Curve1 %
- Column Filter< 1 %
- Naive Bayes Learner< 1 %
- Interactive Table (legacy)< 1 %
- K Nearest Neighbor< 1 %
- Denormalizer< 1 %
- Normalizer< 1 %
Excel Sheet Appender (XLS)< 1 %- Crosstab< 1 %
- Pie chart (legacy)< 1 %
- Scatter Plot (legacy)< 1 %
- CSV Writer< 1 %
- Decision Tree Learner< 1 %
- MultiLayerPerceptron Predictor< 1 %
Scorer< 1 %- Category to Number< 1 %
- Color Manager< 1 %
- Joiner< 1 %
- Line Plot (legacy)< 1 %
- Bar Chart< 1 %
Excel Sheet Appender (XLS)< 1 %- Excel Writer< 1 %
- Lift Chart (JavaScript)< 1 %
- Line Plot (JavaScript)< 1 %
- Table Difference Checker< 1 %
- Silhouette Coefficient< 1 %
- DBSCAN< 1 %
- String to Number< 1 %
Column Rename< 1 %- Interactive Pie chart (legacy)< 1 %
- Pie Chart< 1 %
- Voting Loop End< 1 %
- Column Filter (legacy)< 1 %
- Heatmap (JavaScript)< 1 %
- Active Learn Loop End (Legacy)< 1 %
- Number to String< 1 %
- Missing Value Column Filter< 1 %
Row Splitter (deprecated)< 1 %Joiner< 1 %- Missing Value< 1 %
- Value Counter< 1 %
- Statistics< 1 %
- Interactive Histogram (legacy)< 1 %
- Lift Chart (legacy)< 1 %
- Heatmap< 1 %
- Feature Selection Loop End< 1 %
- Loop End< 1 %
- X-Partitioner< 1 %
- Naive Bayes Predictor< 1 %
- Fuzzy Rule Learner< 1 %
- Fuzzy Rule Predictor< 1 %
- Cluster Assigner< 1 %
- k-Means< 1 %
- Decision Tree Predictor< 1 %
- Entropy Scorer< 1 %
- SVM Learner< 1 %
- Gradient Boosted Trees Predictor< 1 %
- Concatenate< 1 %
- Auto-Binner< 1 %
- Column Appender< 1 %
- One to Many< 1 %
- Constant Value Column< 1 %
- Cross Joiner< 1 %
Row Filter (deprecated)< 1 %- GroupBy< 1 %
- Partitioning< 1 %
- Many to One (PMML)< 1 %
- RowID< 1 %
- Table Transposer< 1 %
- Rule-based Row Filter< 1 %
- Rule Engine< 1 %
- Statistics View< 1 %
- Table View< 1 %
- Boosting Learner Loop End< 1 %
- Boosting Predictor Loop End< 1 %
- Prediction Fusion< 1 %
- Math Formula< 1 %
Excel Writer (XLS)< 1 %- Table View (JavaScript)< 1 %
- Scatter Plot (JavaScript)< 1 %
- Binary Classification Inspector< 1 %
- Python Script (legacy)< 1 %
- Data to Report (BIRT)< 1 %
Loop End (2 ports)< 1 %- Fuzzy c-Means< 1 %
- Logistic Regression Predictor< 1 %
- Random Forest Learner< 1 %
- Column Merger< 1 %
- Double to Integer< 1 %
- Sorter< 1 %
- Enrichment Plotter (legacy)< 1 %
Send to Power BI< 1 %- Partial Dependence/ICE Plot< 1 %
Python Script (1⇒1)< 1 %- 1D Kernel Density Plot< 1 %
- 2D/3D Scatterplot< 1 %
- Catch Errors (Data Ports)< 1 %
Backward Feature Elimination End< 1 %- SVM Predictor< 1 %
String To Number< 1 %- Column Splitter< 1 %
Color Appender< 1 %- Table to PMML Ensemble< 1 %
- PMML Predictor< 1 %
- Table to H2O< 1 %
Loop End< 1 %- Logistic Regression Learner< 1 %
- Regression Predictor< 1 %
- Column Combiner< 1 %
- Linear Correlation< 1 %
- Equal Size Sampling< 1 %
- Table Manipulator< 1 %
- Rule-based Row Splitter< 1 %
- Rank Correlation< 1 %
- Data Explorer< 1 %
- HiLite Table (legacy)< 1 %
- Counter Generation< 1 %
- Bar Chart (JavaScript)< 1 %
- Container Output (JSON)< 1 %
- Threshold Analyzer< 1 %
- Entropy Uncertainty Scorer< 1 %
- Strings to Binary Objects< 1 %
- Table to Image< 1 %
CSV Writer< 1 %Database Update< 1 %Database Writer< 1 %Table Writer< 1 %- Java Snippet< 1 %
- Feature Selection Loop Start (1:1)< 1 %
- Feature Selection Loop Start (2:2)< 1 %
Counting Loop Start< 1 %Naive Bayes Predictor< 1 %- PNN Learner (DDA)< 1 %
- Hierarchical Clustering< 1 %
- Hierarchical Clustering (DistMatrix)< 1 %
- Hierarchical Cluster Assigner (local)< 1 %
- Hierarchical Cluster View< 1 %
- RProp MLP Learner< 1 %
PCA< 1 %PCA Inversion< 1 %Numeric Scorer< 1 %- SOTA Predictor< 1 %
- PCA Apply< 1 %
Gradient Boosted Trees Learner< 1 %- Gradient Boosted Trees Learner (Regression)< 1 %
- Gradient Boosted Trees Predictor (Regression)< 1 %
- Tree Ensemble Learner (Regression)< 1 %
- Tree Ensemble Predictor< 1 %
- Random Forest Predictor< 1 %
Concatenate (Optional in)< 1 %- Numeric Binner< 1 %
- Column Comparator< 1 %
- Category to Number (Apply)< 1 %
- Number to Category (Apply)< 1 %
- Column Aggregator< 1 %
Column Appender< 1 %- Column Rename (Regex)< 1 %
- Column Resorter< 1 %
- Many to One< 1 %
Linear Correlation< 1 %- Duplicate Row Filter< 1 %
- Filter Apply< 1 %
- Pivot< 1 %
- Missing Value (Apply)< 1 %
- Nominal Probability Distribution Creator< 1 %
- Number Rounder< 1 %
- String Manipulation< 1 %
- String Manipulation (Variable)< 1 %
- Cronbach Alpha< 1 %
Rank Correlation< 1 %- Proportion Test< 1 %
- Single sample t-test< 1 %
CASE Switch Data (End)< 1 %- Extract Table Spec< 1 %
- Timer Info< 1 %
- Conditional Box Plot (legacy)< 1 %
- Histogram (legacy)< 1 %
- Box Plot (legacy)< 1 %
- Parallel Coordinates (legacy)< 1 %
- Scatter Matrix (legacy)< 1 %
- Shape Manager< 1 %
- Capture Workflow End< 1 %
- DB Writer< 1 %
- Histogram (JavaScript)< 1 %
- Column Expressions< 1 %
- Math Formula (Multi Column)< 1 %
- Histogram Chart (JFreeChart)< 1 %
- Pie Chart (JFreeChart)< 1 %
- OSM Map View< 1 %
Excel Writer (XLS)< 1 %- Java Snippet (simple)< 1 %
- Radar Plot Appender< 1 %
- Tableau Writer< 1 %
- Document Vector< 1 %
- Tag Cloud< 1 %
- Weka Predictor (3.7)< 1 %
- Decision Tree View (JavaScript)< 1 %
- Generic JavaScript View (JavaScript)< 1 %
- Score Erosion< 1 %
- R Snippet< 1 %
- POST Request< 1 %
Binary Scorer< 1 %Binary Scorer< 1 %
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