Data
YearPredictionMSD

YearPredictionMSD

active ARFF Publicly available Visibility: friends Uploaded 22-01-2016 by Manuel Blum
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Prediction of the release year of a song from audio features. Songs are mostly western, commercial tracks ranging from 1922 to 2011, with a peak in the year 2000s.

91 features

yearnumeric89 unique values
0 missing
timbre_avg_000numeric454399 unique values
0 missing
timbre_avg_001numeric507151 unique values
0 missing
timbre_avg_002numeric503593 unique values
0 missing
timbre_avg_003numeric488390 unique values
0 missing
timbre_avg_004numeric498032 unique values
0 missing
timbre_avg_005numeric484700 unique values
0 missing
timbre_avg_006numeric488214 unique values
0 missing
timbre_avg_007numeric467285 unique values
0 missing
timbre_avg_008numeric478011 unique values
0 missing
timbre_avg_009numeric461540 unique values
0 missing
timbre_avg_010numeric433386 unique values
0 missing
timbre_avg_011numeric469592 unique values
0 missing
timbre_cov_000numeric494241 unique values
0 missing
timbre_cov_001numeric514787 unique values
0 missing
timbre_cov_002numeric514731 unique values
0 missing
timbre_cov_003numeric514613 unique values
0 missing
timbre_cov_004numeric514069 unique values
0 missing
timbre_cov_005numeric514245 unique values
0 missing
timbre_cov_006numeric513575 unique values
0 missing
timbre_cov_007numeric513401 unique values
0 missing
timbre_cov_008numeric512721 unique values
0 missing
timbre_cov_009numeric512263 unique values
0 missing
timbre_cov_010numeric512094 unique values
0 missing
timbre_cov_011numeric511668 unique values
0 missing
timbre_cov_012numeric510366 unique values
0 missing
timbre_cov_013numeric514307 unique values
0 missing
timbre_cov_014numeric514135 unique values
0 missing
timbre_cov_015numeric512572 unique values
0 missing
timbre_cov_016numeric511923 unique values
0 missing
timbre_cov_017numeric511289 unique values
0 missing
timbre_cov_018numeric509822 unique values
0 missing
timbre_cov_019numeric507878 unique values
0 missing
timbre_cov_020numeric508308 unique values
0 missing
timbre_cov_021numeric504082 unique values
0 missing
timbre_cov_022numeric503077 unique values
0 missing
timbre_cov_023numeric510326 unique values
0 missing
timbre_cov_024numeric513698 unique values
0 missing
timbre_cov_025numeric513990 unique values
0 missing
timbre_cov_026numeric513031 unique values
0 missing
timbre_cov_027numeric512659 unique values
0 missing
timbre_cov_028numeric510656 unique values
0 missing
timbre_cov_029numeric510732 unique values
0 missing
timbre_cov_030numeric507489 unique values
0 missing
timbre_cov_031numeric502685 unique values
0 missing
timbre_cov_032numeric503671 unique values
0 missing
timbre_cov_033numeric505446 unique values
0 missing
timbre_cov_034numeric513997 unique values
0 missing
timbre_cov_035numeric513158 unique values
0 missing
timbre_cov_036numeric512379 unique values
0 missing
timbre_cov_037numeric510928 unique values
0 missing
timbre_cov_038numeric510099 unique values
0 missing
timbre_cov_039numeric508689 unique values
0 missing
timbre_cov_040numeric507247 unique values
0 missing
timbre_cov_041numeric508859 unique values
0 missing
timbre_cov_042numeric505285 unique values
0 missing
timbre_cov_043numeric513202 unique values
0 missing
timbre_cov_044numeric513389 unique values
0 missing
timbre_cov_045numeric512908 unique values
0 missing
timbre_cov_046numeric512085 unique values
0 missing
timbre_cov_047numeric511445 unique values
0 missing
timbre_cov_048numeric506203 unique values
0 missing
timbre_cov_049numeric505135 unique values
0 missing
timbre_cov_050numeric501812 unique values
0 missing
timbre_cov_051numeric513358 unique values
0 missing
timbre_cov_052numeric512811 unique values
0 missing
timbre_cov_053numeric510855 unique values
0 missing
timbre_cov_054numeric510408 unique values
0 missing
timbre_cov_055numeric509554 unique values
0 missing
timbre_cov_056numeric510078 unique values
0 missing
timbre_cov_057numeric500977 unique values
0 missing
timbre_cov_058numeric512842 unique values
0 missing
timbre_cov_059numeric512786 unique values
0 missing
timbre_cov_060numeric511620 unique values
0 missing
timbre_cov_061numeric507447 unique values
0 missing
timbre_cov_062numeric507582 unique values
0 missing
timbre_cov_063numeric495322 unique values
0 missing
timbre_cov_064numeric512987 unique values
0 missing
timbre_cov_065numeric511838 unique values
0 missing
timbre_cov_066numeric512034 unique values
0 missing
timbre_cov_067numeric511103 unique values
0 missing
timbre_cov_068numeric498041 unique values
0 missing
timbre_cov_069numeric512130 unique values
0 missing
timbre_cov_070numeric510975 unique values
0 missing
timbre_cov_071numeric509474 unique values
0 missing
timbre_cov_072numeric486924 unique values
0 missing
timbre_cov_073numeric510656 unique values
0 missing
timbre_cov_074numeric512167 unique values
0 missing
timbre_cov_075numeric480095 unique values
0 missing
timbre_cov_076numeric512014 unique values
0 missing
timbre_cov_077numeric491623 unique values
0 missing

62 properties

515345
Number of instances (rows) of the dataset.
91
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
91
Number of numeric attributes.
0
Number of nominal attributes.
41.54
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
100
Percentage of numeric attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
-4.34
Minimum skewness among attributes of the numeric type.
0
Percentage of nominal attributes.
1.45
Third quartile of skewness among attributes of the numeric type.
4.51
Maximum skewness among attributes of the numeric type.
4.37
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
218.37
Third quartile of standard deviation of attributes of the numeric type.
1749.37
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
11.69
First quartile of kurtosis among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
-1.79
First quartile of means among attributes of the numeric type.
24.12
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
136.96
Mean of means among attributes of the numeric type.
-0.57
First quartile of skewness among attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
42.49
First quartile of standard deviation of attributes of the numeric type.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
0
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
17.71
Second quartile (Median) of kurtosis among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.42
Mean skewness among attributes of the numeric type.
4.85
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
188.19
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.11
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
0.57
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
119.83
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
101.04
Maximum kurtosis among attributes of the numeric type.
-189.88
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
29.69
Third quartile of kurtosis among attributes of the numeric type.
2439.36
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.

3 tasks

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