Logistic Regression that Subsequent Examples Score
call td_analyze ( 'logistic', 'database = val_source; tablename = customer; columns = income, age, years_with_bank; outputdatabase = val_results; outputtablename = log_example; dependent = nbr_children; response = 0;' );
Scoring without Model Evaluation
call td_analyze ( 'logisticscore', 'database = val_source; tablename = customer; modeldatabase = val_results; modeltablename = log_example; outputdatabase = val_results; outputtablename = log_example1; probability = Probability; scoringmethod = score;' );
Model Evaluation without Scoring
Creates Success Table, Multi-Threshold Success Table and Lift Table by default.
call td_analyze ( 'logisticscore', 'database = val_source; tablename = customer; modeldatabase = val_results; modeltablename = log_example; outputdatabase = val_results; outputtablename = log_example2; estimate = Estimate; scoringmethod = evaluate;' );
Scoring and Model Evaluation
call td_analyze ( 'logisticscore', 'database = val_source; tablename = customer; modeldatabase = val_results; modeltablename = log_example; outputdatabase = val_results; outputtablename = log_example3; estimate = Estimate; scoringmethod = scoreandevaluate;' );
Specify Various Options
call td_analyze ( 'logisticscore', 'database = val_source; tablename = customer; modeldatabase = val_results; modeltablename = log_example; outputdatabase = val_results; outputtablename = log_example4; estimate = Estimate; probability = Probability; retain = state_code; samplescoresize = 10; scoringmethod = scoreandevaluate; lifttable = true;' );