Data
Sick_numeric

Sick_numeric

active ARFF Public Domain (CC0) Visibility: public Uploaded 21-06-2019 by Richard Ooms
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Sick dataset from the opencc18 with all textual binary variables label encoded.

30 features

Class (target)nominal2 unique values
0 missing
agenumeric94 unique values
0 missing
sexnumeric3 unique values
0 missing
on_thyroxinenumeric2 unique values
0 missing
query_on_thyroxinenumeric2 unique values
0 missing
on_antithyroid_medicationnumeric2 unique values
0 missing
sicknumeric2 unique values
0 missing
pregnantnumeric2 unique values
0 missing
thyroid_surgerynumeric2 unique values
0 missing
I131_treatmentnumeric2 unique values
0 missing
query_hypothyroidnumeric2 unique values
0 missing
query_hyperthyroidnumeric2 unique values
0 missing
lithiumnumeric2 unique values
0 missing
goitrenumeric2 unique values
0 missing
tumornumeric2 unique values
0 missing
hypopituitarynumeric2 unique values
0 missing
psychnumeric2 unique values
0 missing
TSH_measurednumeric2 unique values
0 missing
TSHnumeric288 unique values
0 missing
T3_measurednumeric2 unique values
0 missing
T3numeric70 unique values
0 missing
TT4_measurednumeric2 unique values
0 missing
TT4numeric242 unique values
0 missing
T4U_measurednumeric2 unique values
0 missing
T4Unumeric147 unique values
0 missing
FTI_measurednumeric2 unique values
0 missing
FTInumeric235 unique values
0 missing
TBG_measurednumeric1 unique values
0 missing
TBGnumeric1 unique values
0 missing
referral_sourcenumeric5 unique values
0 missing

62 properties

3772
Number of instances (rows) of the dataset.
30
Number of attributes (columns) of the dataset.
2
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.
29
Number of numeric attributes.
1
Number of nominal attributes.
61.42
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
8.26
Third quartile of skewness among attributes of the numeric type.
98.64
Maximum standard deviation of attributes of the numeric type.
6.12
Percentage of instances belonging to the least frequent class.
0.16
First quartile of kurtosis among attributes of the numeric type.
0.81
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
231
Number of instances belonging to the least frequent class.
0.01
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.
168.42
Mean kurtosis among attributes of the numeric type.
1
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
17.63
Mean of means among attributes of the numeric type.
-0.17
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.12
First quartile of standard deviation of attributes of the numeric type.
0.89
Average class difference between consecutive instances.
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.
0.33
Entropy of the target attribute values.
2
Average number of distinct values among the attributes of the nominal type.
11
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.01
Number of attributes divided by the number of instances.
5.23
Mean skewness among attributes of the numeric type.
0.06
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.
12.37
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
93.88
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
2.3
Second quartile (Median) of skewness among attributes of the numeric type.
3541
Number of instances belonging to the most frequent class.
-1.85
Minimum kurtosis among attributes of the numeric type.
3.33
Percentage of binary attributes.
0.24
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
0
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
3772
Maximum kurtosis among attributes of the numeric type.
126.28
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.
66.27
Third quartile of kurtosis 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.
96.67
Percentage of numeric attributes.
2.27
Third quartile of means among attributes of the numeric type.
2
The maximum number of distinct values among attributes of the nominal type.
-3.66
Minimum skewness among attributes of the numeric type.
3.33
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
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