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Nest, stack, or layer variables in multiple dimensions to display summaries for multiple statistics and display multiple response sets.
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Solve more business problems and predict outcomes with greater accuracy using several new algorithms. Compare scores easily across different algorithms and technologies using propensity scores.Employ advanced sampling techniques, including stratified sampling to obtain more representative results and clustered sampling to ensure samples include all related items.Obtain more accurate predictions by combining two or more models with the new Ensemble node.Leverage new analytical techniques to improve predictive accuracy and achieve better results.
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Gain more detailed control over automated modeling using new frequency, weights, and misclassification costs features.Select the best model more easily with visual evaluation information.Find the best models for predicting both binary (搚es/no? and numeric outcomes using automated modeling operations that create and evaluate many different models in a single step.Easily combine these traditional techniques with advanced data mining prediction and segmentation algorithmsĮnhance productivity and achieve faster time-to-solution using Clementine抯 powerful automated modeling.Accurately estimate customer attrition using Cox regression for survival analysis.Identify your best customers using the RFM customer value segmentation scoring technique.Gain a complete customer analysis toolkit that unifies both advanced and traditional techniques in a single framework. Clementine 12.0 includes a range of new features and product enhancements designed to help you work more efficiently and productively, and produce more accurate results.