26. The article of manufacture of claim 24 , wherein the models generated by the first data mining algorithm comprise a plurality of association rule models, wherein each association rule model includes at least one association rule to predict a value in one column based on at least one value in at least one predictor column, and wherein the models generated by the second data mining algorithm comprise a predictive model predicting values in a user selected column; wherein determining the metrics for each record in the second data set comprises: determining for each association model association rules not satisfied by the data in the record; for each association rule model having association rules not satisfied by data in the record, determining an association rule model metric as a function of statistical values of the association rules in the association rule model not satisfied; determining from the predictive model a confidence level of a value in each column predicted by one predictive model; determining a predictive model metric for each predictive model as a function of the determined confidence level for each predictive model applied to the record.
26. The article of manufacture of claim 24 , wherein the models generated by the first data mining algorithm comprise a plurality of association rule models, wherein each association rule model includes at least one association rule to predict a value in one column based on at least one value in at least one predictor column, and wherein the models generated by the second data mining algorithm comprise a predictive model predicting values in a user selected column; wherein determining the metrics for each record in the second data set comprises: determining for each association model association rules not satisfied by the data in the record; for each association rule model having association rules not satisfied by data in the record, determining an association rule model metric as a function of statistical values of the association rules in the association rule model not satisfied; determining from the predictive model a confidence level of a value in each column predicted by one predictive model; determining a predictive model metric for each predictive model as a function of the determined confidence level for each predictive model applied to the record. 27. The article of manufacture of claim 26 , wherein the statistical values comprise at least one of a confidence level, support and/or lift further comprising: generating a summary metric for each record in the second data set as a function of the determined association rule model metrics and the predictive model metrics.