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!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

Identifier attribute deleted.

As used by Kilpatrick, D. &amp; Cameron-Jones, M. (1998). Numeric prediction
using instance-based learning with encoding length selection. In Progress
in Connectionist-Based Information Systems. Singapore: Springer-Verlag.

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!


1. Title: Auto-Mpg Data

2. Sources:
   (a) Origin:  This dataset was taken from the StatLib library which is
                maintained at Carnegie Mellon University. The dataset was 
                used in the 1983 American Statistical Association Exposition.
   (c) Date: July 7, 1993

3. Past Usage:
    -  See 2b (above)
    -  Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning.
       In Proceedings on the Tenth International Conference of Machine 
       Learning, 236-243, University of Massachusetts, Amherst. Morgan
       Kaufmann.

4. Relevant Information:

   This dataset is a slightly modified version of the dataset provided in
   the StatLib library.  In line with the use by Ross Quinlan (1993) in
   predicting the attribute \"mpg\", 8 of the original instances were removed 
   because they had unknown values for the \"mpg\" attribute.  The original 
   dataset is available in the file \"auto-mpg.data-original\".

   \"The data concerns city-cycle fuel consumption in miles per gallon,
    to be predicted in terms of 3 multivalued discrete and 5 continuous
    attributes.\" (Quinlan, 1993)

5. Number of Instances: 398

6. Number of Attributes: 9 including the class attribute

7. Attribute Information:

    1. mpg:           continuous
    2. cylinders:     multi-valued discrete
    3. displacement:  continuous
    4. horsepower:    continuous
    5. weight:        continuous
    6. acceleration:  continuous
    7. model year:    multi-valued discrete
    8. origin:        multi-valued discrete
    9. car name:      string (unique for each instance)

8. Missing Attribute Values:  horsepower has 6 missing values
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                  <!-- String fill values not yet implemented. -->
                  <hdf5:NoData />
               </hdf5:Data>
            </hdf5:FillValue>
         </hdf5:FillValueInfo>
         <hdf5:Dataspace>
            <hdf5:SimpleDataspace Ndims="1">
               <hdf5:Dimension  DimSize="8" MaxDimSize="8"/>
            </hdf5:SimpleDataspace>
         </hdf5:Dataspace>
         <hdf5:DataType>
            <hdf5:AtomicType>
               <hdf5:StringType Cset="H5T_CSET_ASCII" StrSize="H5T_VARIABLE" StrPad="H5T_STR_NULLTERM"/>
            </hdf5:AtomicType>
         </hdf5:DataType>
         <hdf5:Data>
            <hdf5:DataFromFile>
            "cylinders"
            "displacement"
            "horsepower"
            "weight"
            "acceleration"
            "model"
            "origin"
            "class"
            </hdf5:DataFromFile>
         </hdf5:Data>
      </hdf5:Dataset>
      <hdf5:Dataset Name="ordering" OBJ-XID="xid_27184" H5Path= "/data_descr/ordering" Parents="xid_8392" H5ParentPaths="/data_descr">
         <hdf5:StorageLayout>
            <hdf5:ContiguousLayout/>
         </hdf5:StorageLayout>
         <hdf5:FillValueInfo FillTime="FillOnAlloc" AllocationTime="Late">
            <hdf5:FillValue>
               <hdf5:Data>
                  <!-- String fill values not yet implemented. -->
                  <hdf5:NoData />
               </hdf5:Data>
            </hdf5:FillValue>
         </hdf5:FillValueInfo>
         <hdf5:Dataspace>
            <hdf5:SimpleDataspace Ndims="1">
               <hdf5:Dimension  DimSize="3" MaxDimSize="3"/>
            </hdf5:SimpleDataspace>
         </hdf5:Dataspace>
         <hdf5:DataType>
            <hdf5:AtomicType>
               <hdf5:StringType Cset="H5T_CSET_ASCII" StrSize="H5T_VARIABLE" StrPad="H5T_STR_NULLTERM"/>
            </hdf5:AtomicType>
         </hdf5:DataType>
         <hdf5:Data>
            <hdf5:DataFromFile>
            "int0"
            "double1"
            "int2"
            </hdf5:DataFromFile>
         </hdf5:Data>
      </hdf5:Dataset>
      <hdf5:Dataset Name="types" OBJ-XID="xid_27456" H5Path= "/data_descr/types" Parents="xid_8392" H5ParentPaths="/data_descr">
         <hdf5:StorageLayout>
            <hdf5:ContiguousLayout/>
         </hdf5:StorageLayout>
         <hdf5:FillValueInfo FillTime="FillOnAlloc" AllocationTime="Late">
            <hdf5:FillValue>
               <hdf5:Data>
                  <!-- String fill values not yet implemented. -->
                  <hdf5:NoData />
               </hdf5:Data>
            </hdf5:FillValue>
         </hdf5:FillValueInfo>
         <hdf5:Dataspace>
            <hdf5:SimpleDataspace Ndims="1">
               <hdf5:Dimension  DimSize="8" MaxDimSize="8"/>
            </hdf5:SimpleDataspace>
         </hdf5:Dataspace>
         <hdf5:DataType>
            <hdf5:AtomicType>
               <hdf5:StringType Cset="H5T_CSET_ASCII" StrSize="H5T_VARIABLE" StrPad="H5T_STR_NULLTERM"/>
            </hdf5:AtomicType>
         </hdf5:DataType>
         <hdf5:Data>
            <hdf5:DataFromFile>
            "nominal:8,4,6,3,5"
            "numeric"
            "numeric"
            "numeric"
            "numeric"
            "nominal:70,71,72,73,74,75,76,77,78,79,80,81,82"
            "nominal:1,3,2"
            "numeric"
            </hdf5:DataFromFile>
         </hdf5:Data>
      </hdf5:Dataset>
   </hdf5:Group>
</hdf5:RootGroup>
</hdf5:HDF5-File>