Data
year

year

active ARFF See source Visibility: public Uploaded 16-06-2022 by Leo Grin
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Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original source: https://archive.ics.uci.edu/ml/datasets/yearpredictionmsd Please give credit to the original source if you use this dataset.

91 features

year (target)numeric89 unique values
0 missing
1numeric454399 unique values
0 missing
2numeric507151 unique values
0 missing
3numeric503593 unique values
0 missing
4numeric488390 unique values
0 missing
5numeric498032 unique values
0 missing
6numeric484700 unique values
0 missing
7numeric488214 unique values
0 missing
8numeric467285 unique values
0 missing
9numeric478011 unique values
0 missing
10numeric461540 unique values
0 missing
11numeric433386 unique values
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12numeric469592 unique values
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13numeric494241 unique values
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14numeric514787 unique values
0 missing
15numeric514731 unique values
0 missing
16numeric514613 unique values
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17numeric514069 unique values
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18numeric514245 unique values
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19numeric513575 unique values
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20numeric513401 unique values
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21numeric512721 unique values
0 missing
22numeric512263 unique values
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23numeric512094 unique values
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24numeric511668 unique values
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25numeric510366 unique values
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26numeric514307 unique values
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27numeric514135 unique values
0 missing
28numeric512572 unique values
0 missing
29numeric511923 unique values
0 missing
30numeric511289 unique values
0 missing
31numeric509822 unique values
0 missing
32numeric507878 unique values
0 missing
33numeric508308 unique values
0 missing
34numeric504082 unique values
0 missing
35numeric503077 unique values
0 missing
36numeric510326 unique values
0 missing
37numeric513698 unique values
0 missing
38numeric513990 unique values
0 missing
39numeric513031 unique values
0 missing
40numeric512659 unique values
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41numeric510656 unique values
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42numeric510732 unique values
0 missing
43numeric507489 unique values
0 missing
44numeric502685 unique values
0 missing
45numeric503671 unique values
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46numeric505446 unique values
0 missing
47numeric513997 unique values
0 missing
48numeric513158 unique values
0 missing
49numeric512379 unique values
0 missing
50numeric510928 unique values
0 missing
51numeric510099 unique values
0 missing
52numeric508689 unique values
0 missing
53numeric507247 unique values
0 missing
54numeric508859 unique values
0 missing
55numeric505285 unique values
0 missing
56numeric513202 unique values
0 missing
57numeric513389 unique values
0 missing
58numeric512908 unique values
0 missing
59numeric512085 unique values
0 missing
60numeric511445 unique values
0 missing
61numeric506203 unique values
0 missing
62numeric505135 unique values
0 missing
63numeric501812 unique values
0 missing
64numeric513358 unique values
0 missing
65numeric512811 unique values
0 missing
66numeric510855 unique values
0 missing
67numeric510408 unique values
0 missing
68numeric509554 unique values
0 missing
69numeric510078 unique values
0 missing
70numeric500977 unique values
0 missing
71numeric512842 unique values
0 missing
72numeric512786 unique values
0 missing
73numeric511620 unique values
0 missing
74numeric507447 unique values
0 missing
75numeric507582 unique values
0 missing
76numeric495322 unique values
0 missing
77numeric512987 unique values
0 missing
78numeric511838 unique values
0 missing
79numeric512034 unique values
0 missing
80numeric511103 unique values
0 missing
81numeric498041 unique values
0 missing
82numeric512130 unique values
0 missing
83numeric510975 unique values
0 missing
84numeric509474 unique values
0 missing
85numeric486924 unique values
0 missing
86numeric510656 unique values
0 missing
87numeric512167 unique values
0 missing
88numeric480095 unique values
0 missing
89numeric512014 unique values
0 missing
90numeric491623 unique values
0 missing
Show all 91 features

19 properties

NumberOfInstances
515345
Number of instances (rows) of the dataset.
NumberOfFeatures
91
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
91
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
-1.79
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
Show all 19 properties

1 tasks

Supervised Regression on year
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: year
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