Heijst, D.P. van

auction model price system decision error number algorithm value data sets prediction description item description regression importance information support seller feature parameter split canon feedback experiment dictionary feedback rating example decision trees function regression trees method vector figure importance plots van heijst target prediction model auction end price picture downloaded target value section base learners support system input rating mining category seller feedback rating variable classification occurrence phase split criterion trust training iteration table price prediction problem heijst study result data mining paper representation mechanism economic reputation y values decision nodes ensemble decision node machine 970–982 split variables bidding information retrieval systems dataset price prediction model