This node implements the CAIM binning (discretization) algorithm according to Kurgan and Cios (2004) URL:http://citeseer.ist.psu.edu/kurgan04caim.html. The binning (discretization) is performed with respect to a selected class column. CAIM creates all possible binning boundaries and chooses those that minimize the class interdependancy measure. To reduce the runtime, this implementation creates only those boundaries where the value and the class changes. The algorithm finds a minimum number of bins (guided by the number of possible class values) and labels them "Interval_X". Only columns compatible with double values are binned and the column's type of the output table is changed to "String".
Options
Popular Predecessors
File Reader7 %CSV Reader6 %Number To String5 %- CAIM Binner5 %
- Missing Value3 %
- Binner (Dictionary)3 %
- Subset Matcher3 %
String To Number2 %Column Appender2 %- Normalizer2 %
Excel Reader (XLS)2 %- Excel Reader2 %
- Rule-based Row Filter2 %
- Numeric Binner2 %
Column Rename2 %- Number to String2 %
- Number to String (PMML)2 %
- GroupBy2 %
- Partitioning2 %
- Math Formula2 %
Row Filter (deprecated)1 %- Cache1 %
Excel Reader (XLS)1 %- Date&Time Difference1 %
- Concatenate1 %
- Auto-Binner1 %
- Column Filter1 %
- String Manipulation1 %
- String Replacer1 %
- Rule Engine1 %
XLS Reader1 %- String to Number1 %
Color Appender1 %- Date&Time-based Row Filter1 %
- CSV Reader1 %
- Scorer1 %
Concatenate (Optional in)< 1 %Number To String (PMML)< 1 %- Box Plot (legacy)< 1 %
- ARFF Reader< 1 %
- X-Partitioner< 1 %
- Column Resorter< 1 %
- Correlation Filter< 1 %
- Missing Value Column Filter< 1 %
- Time Field Extractor (legacy)< 1 %
- Group Loop Start< 1 %
- Double to Integer< 1 %
- R Predictor< 1 %
- Low Variance Filter< 1 %
- Scatter Plot (JavaScript)< 1 %
- Column Combiner< 1 %
- One to Many< 1 %
Row Splitter (deprecated)< 1 %- Column Splitter< 1 %
- Decision Tree to Ruleset< 1 %
- Data Generator< 1 %
- Color Manager< 1 %
- Distance Matrix Calculate< 1 %
- Discretise< 1 %
Database Connection Table Reader< 1 %Generic Loop Start< 1 %- SMOTE< 1 %
Gradient Boosted Trees Predictor< 1 %- Bootstrap Sampling< 1 %
- Table Validator< 1 %
- Date&Time Part Extractor< 1 %
Table Reader< 1 %- Java Snippet< 1 %
Loop End< 1 %Cell Splitter< 1 %- Category to Number< 1 %
- Column Rename (Regex)< 1 %
- CAIM Applier< 1 %
Joiner< 1 %- Pivot< 1 %
- Row Sampling< 1 %
Excel Reader (XLS)< 1 %- Extract System Properties< 1 %
- Feature Selection Filter< 1 %
- Column List Loop Start< 1 %
- Entropy Scorer< 1 %
- Random Forest Learner< 1 %
- Auto-Binner (Apply)< 1 %
Cell Replacer< 1 %- Duplicate Row Filter< 1 %
- Numeric Binner (PMML)< 1 %
- Number Rounder< 1 %
- Sorter< 1 %
- Numeric Outliers< 1 %
- Statistics< 1 %
- IF Switch< 1 %
- Extract Table Dimension< 1 %
- DB Reader< 1 %
- DB Query Reader< 1 %
- Counter Generation< 1 %
- Column Expressions (legacy)< 1 %
- Category to Class< 1 %
- String to Date&Time< 1 %
Extract Date&Time Fields< 1 %- Time Difference (legacy)< 1 %
- Binned Performance< 1 %
- Nominal Value Row Filter< 1 %
- Joiner< 1 %
- Shuffle< 1 %
- Rule-based Row Splitter< 1 %
- Duration to Number< 1 %
Views
- Binning Model
- The view shows the column's binning scheme. For each column a ruler is displayed on which the bin boundaries are marked.
Workflows
Links
- No links available
Developers
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