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unknown (from Weka repository)

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arff slurped Weka

Attribute Types

Integer,Floating Point,String

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# Instances: 40768 / # Attributes: 11
HDF5 (7.0 MB) XML CSV ARFF LibSVM Matlab Octave

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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

1. numeric
2. numeric
3. nominal:brown,red,green
4. numeric
5. numeric
6. numeric
7. nominal:no,yes
8. nominal:normal,large
9. numeric
10. 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 jarfile containing 30 regression datasets collected by Luis Torgo (regression-datasets.jar, 10,090,266 Bytes).

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revision 1

by mldata on 2010-11-06 09:57

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