Data
ilpd

ilpd

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  • health OpenML-CC18 OpenML100 study_123 study_135 study_14 study_144 study_34 study_50 study_52 study_7 study_98 study_99 uci study_236 study_253
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Author: Bendi Venkata Ramana, M. Surendra Prasad Babu, N. B. Venkateswarlu Source: [UCI](https://archive.ics.uci.edu/ml/datasets/ILPD+(Indian+Liver+Patient+Dataset)) - 2012 Please cite: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) Indian Liver Patient Dataset This data set contains 416 liver patient records and 167 non liver patient records.The data set was collected from north east of Andhra Pradesh, India. The class label divides the patients into 2 groups (liver patient or not). This data set contains 441 male patient records and 142 female patient records. ### Attribute Information V1. Age of the patient. Any patient whose age exceeded 89 is listed as being of age "90". V2. Gender of the patient V3. Total Bilirubin V4. Direct Bilirubin V5. Alkphos Alkaline Phosphatase V6. Sgpt Alanine Aminotransferase V7. Sgot Aspartate Aminotransferase V8. Total Proteins V9. Albumin V10. A/G Ratio Albumin and Globulin Ratio A feature indicating a train-test split has been removed. ### Relevant Papers 1. Bendi Venkata Ramana, Prof. M. S. Prasad Babu and Prof. N. B. Venkateswarlu, A Critical Comparative Study of Liver Patients from USA and INDIA: An Exploratory Analysis, International Journal of Computer Science Issues, ISSN:1694-0784, May 2012. 2. Bendi Venkata Ramana, Prof. M. S. Prasad Babu and Prof. N. B. Venkateswarlu, A Critical Study of Selected Classification Algorithms for Liver Disease Diagnosis, International Journal of Database Management Systems (IJDMS), Vol.3, No.2, ISSN : 0975-5705, PP 101-114, May 2011.

11 features

Class (target)nominal2 unique values
0 missing
V1numeric72 unique values
0 missing
V2nominal2 unique values
0 missing
V3numeric113 unique values
0 missing
V4numeric80 unique values
0 missing
V5numeric263 unique values
0 missing
V6numeric152 unique values
0 missing
V7numeric177 unique values
0 missing
V8numeric58 unique values
0 missing
V9numeric40 unique values
0 missing
V10numeric70 unique values
0 missing
Show all 11 features

19 properties

NumberOfInstances
583
Number of instances (rows) of the dataset.
NumberOfFeatures
11
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
9
Number of numeric attributes.
NumberOfSymbolicFeatures
2
Number of nominal attributes.
PercentageOfBinaryFeatures
18.18
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
0.61
Average class difference between consecutive instances.
PercentageOfNumericFeatures
81.82
Percentage of numeric attributes.
Dimensionality
0.02
Number of attributes divided by the number of instances.
MajorityClassPercentage
71.36
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
18.18
Percentage of nominal attributes.
MajorityClassSize
416
Number of instances belonging to the most frequent class.
MinorityClassPercentage
28.64
Percentage of instances belonging to the least frequent class.
MinorityClassSize
167
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
2
Number of binary attributes.
Show all 19 properties

26 tasks

Supervised Classification on ilpd
122811 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
Supervised Classification on ilpd
29462 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
Supervised Classification on ilpd
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Class
Supervised Classification on ilpd
0 runs - estimation_procedure: 33% Holdout set - target_feature: Class
Supervised Classification on ilpd
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: Class
Learning Curve on ilpd
45 runs - estimation_procedure: 10-fold Learning Curve - target_feature: Class
Clustering on ilpd
0 runs - estimation_procedure: 50 times Clustering
Clustering on ilpd
0 runs - target_feature: Class
Clustering on ilpd
0 runs
Clustering on ilpd
0 runs - estimation_procedure: 50 times Clustering
Clustering on ilpd
0 runs - estimation_procedure: 50 times Clustering
Clustering on ilpd
0 runs - estimation_procedure: 50 times Clustering
Clustering on ilpd
0 runs - estimation_procedure: 50 times Clustering
Clustering on ilpd
0 runs - estimation_procedure: 50 times Clustering
Clustering on ilpd
0 runs - estimation_procedure: 50 times Clustering
Clustering on ilpd
0 runs - estimation_procedure: 50 times Clustering
Clustering on ilpd
0 runs - estimation_procedure: 50 times Clustering
Clustering on ilpd
0 runs - estimation_procedure: 50 times Clustering
Subgroup Discovery on ilpd
1307 runs - target_feature: Class
Subgroup Discovery on ilpd
1306 runs - target_feature: Class
Subgroup Discovery on ilpd
0 runs - target_feature: Class
Subgroup Discovery on ilpd
0 runs - target_feature: Class
Subgroup Discovery on ilpd
0 runs - target_feature: Class
Subgroup Discovery on ilpd
0 runs - target_feature: Class
Subgroup Discovery on ilpd
0 runs - target_feature: Class
Subgroup Discovery on ilpd
0 runs - target_feature: Class
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