View uci-20070111 mv (public)
- Summary
(No information yet)
- License
- unknown (from Weka repository)
- Dependencies
- Tags
- arff slurped Weka
- Attribute Types
- Integer,Floating Point,String
- Download
-
# Instances: 40768 / # Attributes: 11
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- Original Data Format
- arff
- Name
- mv
- Version mldata
- 0
- Comment
This is an artificial data set with dependencies between the attribute values. The cases are generated using the following method:
X1 : uniformly distributed over [-5,5] X2 : uniformly distributed over [-15,-10] X3 : IF (X1 > 0) THEN X3 = green ELSE X3 = red with probability 0.4 and X4=brown with prob. 0.6 X4 : IF (X3=green) THEN X4=X1+2X2 ELSE X4=X1/2 with prob. 0.3, and X4=X2/2 with prob. 0.7 X5 : uniformly distributed over [-1,1] X6 : X6=X4*[epsilon], where [epsilon] is uniformly distribute over [0,5] X7 : X7=yes with prob. 0.3 and X7=no with prob. 0.7 X8 : IF (X5 < 0.5) THEN X8 = normal ELSE X8 = large X9 : uniformly distributed over [100,500] X10 : uniformly distributed integer over the interval [1000,1200]
Obtain the value of the target variable Y using the rules: IF (X2 > 2 ) THEN Y = 35 - 0.5 X4 ELSE IF (-2 <= X4 <= 2) THEN Y = 10 - 2 X1 ELSE IF (X7 = yes) THEN Y = 3 -X1/X4 ELSE IF (X8 = normal) THEN Y = X6 + X1 ELSE Y = X1/2
Source: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at http://www.ncc.up.pt/~ltorgo/Regression/DataSets.html Characteristics: 40768 cases, 11 attributes (3 nominal, 8 continuous).
- Names
- x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,
- Types
- numeric
- numeric
- nominal:brown,red,green
- numeric
- numeric
- numeric
- nominal:no,yes
- nominal:normal,large
- numeric
- numeric
- Data (first 10 data points)
x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 ... 3.50... -13.1... brown -6.55... 0.01... -17.3... no normal 153.... 1026 ... 0.25... -10.0... brown -5.02... -0.15... -3.72... no normal 191.... 1126 ... -1.72... -10.0... red -5.04... 0.68... -19.7... no large 256.... 1091 ... -4.94... -13.7... brown -6.89... -0.09... -2.17... yes normal 165.52 1039 ... -2.12... -11.5... brown -5.77... -0.66... -15.3... no normal 311.... 1152 ... 0.30... -10.7... green -5.36... -0.65... -15.85 no normal 419.... 1197 ... 3.94... -10.9... red -5.48... 0.69... -4.88... no large 101.... 1068 ... 1.1662 -13.5... red -6.77... 0.56... -32.7... no large 374.... 1099 ... 1.92... -13.9... brown -6.96... -0.98... -21.1... no normal 280.... 1081 ... 0.38... -13.2... red 0.19... 0.13... 0.59... yes normal 495.... 1123 ... ... ... ... ... ... ... ... ... ... ... ...
- Description
A gzip'ed tar containing UCI and UCI KDD datasets (uci-20070111.tar.gz, 17,952,832 Bytes)
- URLs
- (No information yet)
- Publications
- Data Source
- http://www.ics.uci.edu/~mlearn/MLRepository.html http://kdd.ics.uci.edu/
- Measurement Details
- Usage Scenario
- revision 1
- by mldata on 2010-11-06 09:59
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.