QualClassif

Complete classification admitting numerical and categorical variables in entry. Perform AFMD then Xmeans and logistic regression in the end to validate the Xmeans results and reprocess the classification.

Generate sql instructions in order to reproduce the classification in a most automatized way directly from the orginal datas.

Warning : use Weka 3.7 components

Input ports

1. Type: Table
   Port 1
   Entry table

Output ports

1. Type: Table
   classification
   Results of classification with probability attribution for each class
2. Type: Table
   diagnose num
   Group diagnostic for numerical variables (mean by groups of entry variables)
3. Type: Table
   diagnose cat
   Group diagnostic for categorical variables (crosstab and Cell Chi² between classication variable and each categorical variable in the entry set)
4. Type: Table
   AFMD coordinates of points
   Points coordinates resulting from AFMD
5. Type: Table
   SQL generation
   SQL generated instructions
6. Type: Table
   Confusion matrix
   Confusion matrix between the QualClassif process and sql instructions
7. Type: Table
   Diagnose sql versus QualClass
   Diagnose sql versus QualClassif