Customer conversion was predicted on a dataset from Valassis, the leader in marketing technology and customer engagement. The parameters used were 25 significant topics that a user was interested in with their percent interest relative to their other interested categories. Multiple logistic regression was used in MATLAB and the model was 5-fold cross validated on a testing set with an area under the receiver operating characteristics (AUROC) of 70.0%.
Predicting Customer Conversion in MATLAB
Customer conversion was predicted on a dataset from Valassis. Multiple logistic regression was used in MATLAB and the model was 5-fold cross validated on a testing set with an AUROC of 70.0%.
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