Data
CD4

CD4

active ARFF Public Domain (CC0) Visibility: public Uploaded 30-03-2019 by Daniel Kurui
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CD4 count prediction date

62 features

BaselineCD4numeric313 unique values
0 missing
Week_from_base_currentcd4numeric198 unique values
0 missing
CurrentCD4numeric1113 unique values
0 missing
Week_from_base_linenumeric205 unique values
0 missing
AZTnumeric2 unique values
0 missing
3TCnumeric2 unique values
0 missing
ABCnumeric2 unique values
0 missing
EFVnumeric2 unique values
0 missing
P12numeric2 unique values
0 missing
P13numeric2 unique values
0 missing
P15numeric2 unique values
0 missing
P19numeric2 unique values
0 missing
P20numeric2 unique values
0 missing
P35numeric2 unique values
0 missing
P36numeric2 unique values
0 missing
P37numeric2 unique values
0 missing
P41numeric2 unique values
0 missing
P57numeric2 unique values
0 missing
P62numeric2 unique values
0 missing
P63numeric2 unique values
0 missing
P64numeric2 unique values
0 missing
P72numeric2 unique values
0 missing
P77numeric2 unique values
0 missing
P93numeric2 unique values
0 missing
RP60numeric2 unique values
0 missing
RP83numeric2 unique values
0 missing
RP122numeric2 unique values
0 missing
RP123numeric2 unique values
0 missing
RP135numeric2 unique values
0 missing
RP142numeric2 unique values
0 missing
RP162numeric2 unique values
0 missing
RP166numeric2 unique values
0 missing
RP169numeric2 unique values
0 missing
RP173numeric2 unique values
0 missing
RP174numeric2 unique values
0 missing
RP177numeric2 unique values
0 missing
RP178numeric2 unique values
0 missing
RP179numeric2 unique values
0 missing
RP196numeric2 unique values
0 missing
RP200numeric2 unique values
0 missing
RP202numeric2 unique values
0 missing
RP204numeric2 unique values
0 missing
RP207numeric2 unique values
0 missing
RP210numeric2 unique values
0 missing
RP211numeric2 unique values
0 missing
RP214numeric2 unique values
0 missing
RP215numeric2 unique values
0 missing
RP218numeric2 unique values
0 missing
RP219numeric2 unique values
0 missing
RP223numeric2 unique values
0 missing
RP224numeric2 unique values
0 missing
RP227numeric2 unique values
0 missing
RP228numeric2 unique values
0 missing
RP230numeric2 unique values
0 missing
RP231numeric2 unique values
0 missing
RP232numeric2 unique values
0 missing
RP233numeric2 unique values
0 missing
RP235numeric2 unique values
0 missing
RP236numeric2 unique values
0 missing
RP237numeric2 unique values
0 missing
RP238numeric2 unique values
0 missing
Future_CD4numeric1129 unique values
0 missing

62 properties

16484
Number of instances (rows) of the dataset.
62
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.
62
Number of numeric attributes.
0
Number of nominal attributes.
0.81
First quartile of skewness among attributes of the numeric type.
18.91
Mean of means among attributes of the numeric type.
0.16
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.
1.78
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
0.18
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.
4.7
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.
12.68
Mean standard deviation of attributes of the numeric type.
1.67
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0
Percentage of binary attributes.
0.37
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.86
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
1263.38
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
38.07
Third quartile of kurtosis among attributes of the numeric type.
403.39
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
100
Percentage of numeric attributes.
0.34
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.
0
Percentage of nominal 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.
-9.88
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
5.36
Third quartile of skewness among attributes of the numeric type.
35.57
Maximum skewness among attributes of the numeric type.
0.03
Minimum standard deviation of attributes of the numeric type.
-0.98
First quartile of kurtosis among attributes of the numeric type.
0.46
Third quartile of standard deviation of attributes of the numeric type.
242.8
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.
0.03
First quartile of means 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.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
79.4
Mean kurtosis among attributes of the numeric type.

2 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Future_CD4
0 runs - estimation_procedure: 50 times Clustering
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