is why. The cross validation splits your data into pieces. Similar to a split validation it trains on one part and then tests on the other. In contrast to Split validation this is then not done only once but in an iterative approach to makes sure all the data can be used for testing...
value segmentationretailRecency, Frequency, and Monetary (RFM) analysiscross-selling modelpilot campaigntarget eventenriching customer data with KPIsdata dictionarySplit (Holdout) validationmodel trainingSummary This chapter presents data mining applications in the retail industry. It explains how to gain ...
Our goal is to help users from other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include Different SVM formulations Efficient multi-class classification Cross validation for model selection...