Data
emotions

emotions

active ARFF Publicly available Visibility: public Uploaded 03-04-2019 by Quay Au
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  • 2019_multioutput_paper_benchmark_data
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Multi-label dataset. Audio dataset (emotions) consists of 593 musical files with 6 clustered emotional labels and 72 predictors. Each song can be labeled with one or more of the labels {amazed-surprised, happy-pleased, relaxing-calm, quiet-still, sad-lonely, angry-aggressive}.

78 features

amazed.suprised (target)nominal2 unique values
0 missing
happy.pleased (target)nominal2 unique values
0 missing
relaxing.calm (target)nominal2 unique values
0 missing
quiet.still (target)nominal2 unique values
0 missing
sad.lonely (target)nominal2 unique values
0 missing
angry.aggresive (target)nominal2 unique values
0 missing
Mean_Acc1298_Mean_Mem40_Centroidnumeric592 unique values
0 missing
Mean_Acc1298_Mean_Mem40_Rolloffnumeric593 unique values
0 missing
Mean_Acc1298_Mean_Mem40_Fluxnumeric584 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_0numeric593 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_1numeric593 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_2numeric593 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_3numeric593 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_4numeric593 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_5numeric592 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_6numeric593 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_7numeric593 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_8numeric593 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_9numeric593 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_10numeric592 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_11numeric593 unique values
0 missing
Mean_Acc1298_Mean_Mem40_MFCC_12numeric593 unique values
0 missing
Mean_Acc1298_Std_Mem40_Centroidnumeric589 unique values
0 missing
Mean_Acc1298_Std_Mem40_Rolloffnumeric593 unique values
0 missing
Mean_Acc1298_Std_Mem40_Fluxnumeric581 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_0numeric593 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_1numeric593 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_2numeric593 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_3numeric593 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_4numeric593 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_5numeric593 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_6numeric593 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_7numeric593 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_8numeric592 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_9numeric592 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_10numeric593 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_11numeric592 unique values
0 missing
Mean_Acc1298_Std_Mem40_MFCC_12numeric593 unique values
0 missing
Std_Acc1298_Mean_Mem40_Centroidnumeric579 unique values
0 missing
Std_Acc1298_Mean_Mem40_Rolloffnumeric591 unique values
0 missing
Std_Acc1298_Mean_Mem40_Fluxnumeric539 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_0numeric593 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_1numeric593 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_2numeric592 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_3numeric593 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_4numeric592 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_5numeric593 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_6numeric592 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_7numeric593 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_8numeric593 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_9numeric593 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_10numeric593 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_11numeric592 unique values
0 missing
Std_Acc1298_Mean_Mem40_MFCC_12numeric593 unique values
0 missing
Std_Acc1298_Std_Mem40_Centroidnumeric590 unique values
0 missing
Std_Acc1298_Std_Mem40_Rolloffnumeric591 unique values
0 missing
Std_Acc1298_Std_Mem40_Fluxnumeric543 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_0numeric593 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_1numeric593 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_2numeric593 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_3numeric592 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_4numeric593 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_5numeric593 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_6numeric593 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_7numeric593 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_8numeric593 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_9numeric593 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_10numeric591 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_11numeric591 unique values
0 missing
Std_Acc1298_Std_Mem40_MFCC_12numeric592 unique values
0 missing
BH_LowPeakAmpnumeric592 unique values
0 missing
BH_LowPeakBPMnumeric48 unique values
0 missing
BH_HighPeakAmpnumeric478 unique values
0 missing
BH_HighPeakBPMnumeric59 unique values
0 missing
BH_HighLowRationumeric3 unique values
0 missing
BHSUM1numeric592 unique values
0 missing
BHSUM2numeric577 unique values
0 missing
BHSUM3numeric593 unique values
0 missing

62 properties

593
Number of instances (rows) of the dataset.
78
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.
72
Number of numeric attributes.
6
Number of nominal attributes.
0.52
First quartile of skewness among attributes of the numeric type.
2.79
Mean of means among attributes of the numeric type.
0.06
First quartile of standard deviation of attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
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.
1.86
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.13
Number of attributes divided by the number of instances.
2
Average number of distinct values among the attributes of the nominal type.
0.4
Second quartile (Median) of means 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.
1
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
0.97
Mean standard deviation of attributes of the numeric type.
0.94
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
7.69
Percentage of binary attributes.
0.15
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-0.53
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
95.52
Maximum kurtosis among attributes of the numeric type.
-73
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
4.6
Third quartile of kurtosis among attributes of the numeric type.
155.22
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
92.31
Percentage of numeric attributes.
0.6
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
7.69
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
2
The maximum number of distinct values among attributes of the nominal type.
-7.67
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
1.55
Third quartile of skewness among attributes of the numeric type.
4.04
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
0.66
First quartile of kurtosis among attributes of the numeric type.
0.31
Third quartile of standard deviation of attributes of the numeric type.
29.81
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0.12
First quartile of means among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
6
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
4.94
Mean kurtosis among attributes of the numeric type.

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