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regime_alimentaire

regime_alimentaire

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#modelage

20 features

Surpoids (target)nominal2 unique values
0 missing
Sexenominal2 unique values
0 missing
Origine_Ethniquenominal7 unique values
17 missing
Agenumeric60 unique values
0 missing
Poidsnumeric72 unique values
0 missing
Taillenumeric58 unique values
0 missing
pain_biscottes_cerealesnominal5 unique values
0 missing
riz_pates_semoule_pommes_de_terrenominal5 unique values
0 missing
legumes_secsnominal5 unique values
0 missing
legumesnominal5 unique values
0 missing
fruitsnominal5 unique values
0 missing
produits_laitiersnominal5 unique values
0 missing
viande_ou_oeufsnominal5 unique values
0 missing
poissonnominal5 unique values
0 missing
plats_prets_a_consommernominal5 unique values
0 missing
produits_sucresnominal5 unique values
0 missing
biscuits_aperitifnominal5 unique values
0 missing
complements_alimentairesnominal5 unique values
0 missing
boissons_sucreesnominal5 unique values
0 missing
boissons_alcooliseesnominal5 unique values
0 missing

62 properties

202
Number of instances (rows) of the dataset.
20
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
17
Number of missing values in the dataset.
17
Number of instances with at least one value missing.
3
Number of numeric attributes.
17
Number of nominal attributes.
23.71
Mean standard deviation of attributes of the numeric type.
0.03
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
79.7
Percentage of instances belonging to the most frequent class.
0.98
Minimal entropy among attributes.
0.59
Second quartile (Median) of skewness among attributes of the numeric type.
161
Number of instances belonging to the most frequent class.
-0.3
Minimum kurtosis among attributes of the numeric type.
10
Percentage of binary attributes.
24.57
Second quartile (Median) of standard deviation of attributes of the numeric type.
2.19
Maximum entropy among attributes.
24.17
Minimum of means among attributes of the numeric type.
8.42
Percentage of instances having missing values.
2.01
Third quartile of entropy among attributes.
0.89
Maximum kurtosis among attributes of the numeric type.
0.01
Minimal mutual information between the nominal attributes and the target attribute.
0.42
Percentage of missing values.
0.89
Third quartile of kurtosis among attributes of the numeric type.
150.25
Maximum of means among attributes of the numeric type.
2
The minimal number of distinct values among attributes of the nominal type.
15
Percentage of numeric attributes.
150.25
Third quartile of means among attributes of the numeric type.
0.13
Maximum mutual information between the nominal attributes and the target attribute.
-0.91
Minimum skewness among attributes of the numeric type.
85
Percentage of nominal attributes.
0.06
Third quartile of mutual information between the nominal attributes and the target attribute.
7
The maximum number of distinct values among attributes of the nominal type.
20.65
Minimum standard deviation of attributes of the numeric type.
1.5
First quartile of entropy among attributes.
1.06
Third quartile of skewness among attributes of the numeric type.
1.06
Maximum skewness among attributes of the numeric type.
20.3
Percentage of instances belonging to the least frequent class.
-0.3
First quartile of kurtosis among attributes of the numeric type.
25.92
Third quartile of standard deviation of attributes of the numeric type.
25.92
Maximum standard deviation of attributes of the numeric type.
1.72
Average entropy of the attributes.
41
Number of instances belonging to the least frequent class.
24.17
First quartile of means among attributes of the numeric type.
1.15
Standard deviation of the number of distinct values among attributes of the nominal type.
0.28
Mean kurtosis among attributes of the numeric type.
2
Number of binary attributes.
0.02
First quartile of mutual information between the nominal attributes and the target attribute.
74.93
Mean of means among attributes of the numeric type.
-0.91
First quartile of skewness among attributes of the numeric type.
0.04
Average mutual information between the nominal attributes and the target attribute.
20.65
First quartile of standard deviation of attributes of the numeric type.
0.73
Average class difference between consecutive instances.
40.16
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
1.77
Second quartile (Median) of entropy among attributes.
0.73
Entropy of the target attribute values.
4.76
Average number of distinct values among the attributes of the nominal type.
0.24
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.1
Number of attributes divided by the number of instances.
0.25
Mean skewness among attributes of the numeric type.
50.38
Second quartile (Median) of means among attributes of the numeric type.
17.43
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

9 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Surpoids
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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