This section describes main characteristics of the mv data set and its attributes:
General information
Mv data set |
Type | Regression | Origin | Laboratory |
Features | 10 | (Real / Integer / Nominal) | (7 / 3 / 0) |
Instances | 40768 | Missing values? | No |
Attribute description
Attribute | Domain |
X1 | [-5.0, 5.0] |
X2 | [-15.0, -10.0] |
X3 | [0, 2] |
X4 | [-7.5, 2.5] |
X5 | [-1.0, 1.0] |
X6 | [-37.5, 12.5] |
X7 | [0, 1] |
X8 | [0, 1] |
X9 | [100.0, 500.0] |
X10 | [1000.0, 1200.0] |
Y | [-41.8222, 2.49978] |
Additional information
This is an artificial data set with dependencies between the attribute values. The cases are generated using a fixed method (see header file).
In this section you can download some files related to the mv data set:
- The complete data set already formatted in KEEL format can be downloaded from
here.
- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here.
- The header file associated to this data set can be downloaded from here.
- This is not a native data set from the KEEL project. It has been obtained from the LIACC repository. The original page where the data set can be found is: http://www.liaad.up.pt/~ltorgo/Regression/DataSets.html.
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