Prepare the dataset for data mining techniques of


Download Toyota Corolla.xls which contains data on used cars for sale during the late summer of 2004 in The Netherlands.

It has 1436 records containing details on 38 attributes, including Price,Age,Kilometers,HP and other specifications.

Prepare the dataset for data mining techniques of supervised learning by creating partitions using XLMiner's data partitionining utility.

Select all the variables and use default values for the random seed and partitioning percentages for training(50%),validation(30%),and test(20%) sets.

Describe the roles that these parttions will play in modeling

In XLMiner, score(predict Offer Price) of new records (cars) the steps from class on the data in the NewModel Tab

Attachment:- toyotacorolla.rar

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