This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.
Go to Suggested ReplacementNaive Bayes PredictorPredicts 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
- ROC Curve (legacy)20 %
- Interactive Table (legacy)8 %
Joiner8 %CSV Writer6 %Excel Writer (XLS)4 %Naive Bayes Learner4 %- Color Manager3 %
Numeric Scorer3 %- Scatter Plot (legacy)3 %
- Lift Chart (legacy)3 %
Naive Bayes Predictor2 %Column Rename2 %String To Number1 %- Decision Tree Predictor1 %
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Loop End< 1 %- X-Partitioner< 1 %
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XLS Writer< 1 %- Scatter Plot (JavaScript)< 1 %
- Scorer (JavaScript)< 1 %
K Nearest Neighbor< 1 %Linear Correlation< 1 %- Value Counter< 1 %
Table Writer< 1 %- Concatenate< 1 %
- Column Splitter< 1 %
- Pie chart (legacy)< 1 %
- Interactive Pie chart (legacy)< 1 %
Column Appender< 1 %Row Filter (deprecated)< 1 %- Interactive Histogram (legacy)< 1 %
Number To String< 1 %Row Splitter (deprecated)< 1 %- Denormalizer< 1 %
- Partitioning< 1 %
Database Writer< 1 %Scorer (deprecated)< 1 %- Missing Value< 1 %
- RowID< 1 %
- Voting Loop End< 1 %
- Scatter Matrix (legacy)< 1 %
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- String Manipulation< 1 %
- Histogram (legacy)< 1 %
- Scatter Plot (JFreeChart)< 1 %
- Table View (JavaScript)< 1 %
Binary Scorer< 1 %- Result< 1 %
- Java Snippet< 1 %
- X-Aggregator< 1 %
- Logistic Regression Learner< 1 %
- Simple Regression Tree Learner< 1 %
- Auto-Binner< 1 %
- Constant Value Column< 1 %
- Conditional Box Plot (legacy)< 1 %
- HiLite Table (legacy)< 1 %
- Box Plot (legacy)< 1 %
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Backward Feature Elimination Filter< 1 %- Feature Selection Filter< 1 %
- Fuzzy Rule Predictor< 1 %
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Random Forest Learner< 1 %- Column Combiner< 1 %
- Category to Number< 1 %
- Column Merger< 1 %
- Single sample t-test< 1 %
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PMML Predictor< 1 %Table to HTML< 1 %Excel Sheet Appender (XLS)< 1 %Backward Feature Elimination End< 1 %- Decision Tree to Image< 1 %
- Linear Regression Learner< 1 %
Number To String (PMML)< 1 %- Cronbach Alpha< 1 %
Color Appender< 1 %- Math Formula< 1 %
- Line Chart (JFreeChart)< 1 %
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- JPMML Classifier< 1 %
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Database Update< 1 %- Fuzzy Rule Learner< 1 %
- DBSCAN< 1 %
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Random Forest Learner< 1 %Random Forest Predictor< 1 %- Simple Regression Tree Predictor< 1 %
Cell Replacer< 1 %- Column Resorter< 1 %
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Missing Value< 1 %- Normalizer< 1 %
- Missing Value (Apply)< 1 %
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Table to PDF< 1 %- Pie Chart (JFreeChart)< 1 %
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PBAC Scorer< 1 %- Catch Errors (Data Ports)< 1 %
Table Row To Variable Loop Start< 1 %- Table to Image< 1 %
Backward Feature Elimination Start (2:2)< 1 %Loop End (2 ports)< 1 %- Loop End (Column Append)< 1 %
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Decision Tree Learner< 1 %- MDS< 1 %
PCA Compute< 1 %PCA< 1 %Logistic Regression Learner< 1 %Regression Predictor< 1 %- SOTA Learner< 1 %
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Gradient Boosted Trees Learner< 1 %Gradient Boosted Trees Learner (Regression)< 1 %- Tree Ensemble Learner< 1 %
- Tree Ensemble Predictor< 1 %
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- Numeric Binner< 1 %
- Many to One< 1 %
- Column Filter< 1 %
Column Filter< 1 %- Reference Column Filter< 1 %
- HiLite Row Splitter< 1 %
- Missing Value Column Filter< 1 %
- Nominal Value Row Filter< 1 %
- Low Variance Filter< 1 %
- Normalizer (Apply)< 1 %
- Pivot< 1 %
- Rank< 1 %
- Number Rounder< 1 %
- Ungroup< 1 %
- Rule-based Row Splitter< 1 %
CASE Switch Data (End)< 1 %- End IF< 1 %
- Extract Table Dimension< 1 %
- Extract Table Spec< 1 %
- Gaussian Distributed Assigner< 1 %
- Distance Matrix Writer< 1 %
- Box Plot (JavaScript)< 1 %
- GroupBy Bar Chart (JFreeChart)< 1 %
- HeatMap (JFreeChart)< 1 %
XLS Sheet Appender< 1 %- Java Edit Variable (simple)< 1 %
- Radar Plot Appender< 1 %
- Spark Line Appender< 1 %
- Category to Class< 1 %
Document Data Extractor< 1 %Strings To Document< 1 %- Decision Tree View (JavaScript)< 1 %
- Generic JavaScript View (JavaScript)< 1 %
- Parameter Optimization Loop End< 1 %
Python Script (1⇒1)< 1 %- Python View (legacy)< 1 %
Extract Date&Time Fields< 1 %
Views
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Workflows
01_AnalyticsKNIME Hub- 01_AnalyticsKNIME Hub
- 03_ZIP_Local_vs_remoteHTTPKNIME Hub
- 14_Reading local and remote compressed CSV filesKNIME Hub
- ClassificationKNIME Hub
- Show all 6 workflows
Links
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Developers
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