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data/tanveer/statlog-shuttle/shuttle.doc

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+Description of SHUTTLE Dataset (STATLOG VERSION)
+
+
+THIS DATASET SHOULD BE TACKLED BY TRAIN/TEST.
+
+
+NUMBER OF EXAMPLES
+	training set     43500
+	test set         14500
+
+NUMBER OF ATTRIBUTES
+	9
+
+The shuttle dataset contains 9 attributes all of which are numerical.
+The first one being time.  The last column is the class which has been 
+coded as follows :
+        1       Rad Flow
+        2       Fpv Close
+        3       Fpv Open
+        4       High
+        5       Bypass
+        6       Bpv Close
+        7       Bpv Open
+        
+Approximately 80% of the data belongs to class 1. Therefore the default 
+accuracy is about 80%. The aim here is to obtain an accuracy of 
+99 - 99.9%.        
+
+
+Validation set:
+The examples in the original dataset were in time order, and this time order
+could presumably be relevant in classification.   However, this was not deemed
+relevant for StatLog purposes, so the order of the examples
+ in the original dataset was randomised, and 
+a portion of the original dataset removed for validation purposes.
+
+Acknowledgment:
+Thanks to Jason Catlett of Basser Department of Computer Science, 
+University of Sydney, N.S.W., Australia for providing the shuttle dataset.  
+Thanks also to NASA for allowing us to use the shuttle datasets.
+