Data
ilpd

ilpd

active ARFF Publicly available Visibility: public Uploaded 22-05-2015 by Rafael G. Mantovani
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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
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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

19 properties

583
Number of instances (rows) of the dataset.
11
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.
9
Number of numeric attributes.
2
Number of nominal attributes.
2
Number of binary attributes.
18.18
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.61
Average class difference between consecutive instances.
0
Percentage of missing values.
0.02
Number of attributes divided by the number of instances.
81.82
Percentage of numeric attributes.
71.36
Percentage of instances belonging to the most frequent class.
18.18
Percentage of nominal attributes.
416
Number of instances belonging to the most frequent class.
28.64
Percentage of instances belonging to the least frequent class.
167
Number of instances belonging to the least frequent class.

16 tasks

113466 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
29452 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 33% Holdout set - target_feature: Class
45 runs - estimation_procedure: 10-fold Learning Curve - target_feature: Class
0 runs - target_feature: Class
1307 runs - target_feature: Class
1306 runs - target_feature: Class
0 runs - target_feature: Class
0 runs - target_feature: Class
0 runs - target_feature: Class
0 runs - target_feature: Class
0 runs - target_feature: Class
0 runs - target_feature: Class
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