caesarian-section
OpenML dataset with id 42901
Amir Ali, Muhammad Zain Amin
Full work available at URL: https://api.openml.org/data/v1/download/22045532/caesarian-section.arff
Upload date: 19 May 2021
Copyright license: CC0
Dataset Characteristics
Number of features: 6 (numeric: 0, symbolic: 6 and in total binary: 2 )
Number of instances: 80
Number of instances with missing values: 0
Number of missing values: 0
We choose age, delivery number, delivery time, blood pressure and heart status. We classify delivery time to Premature, Timely and Latecomer. As like the delivery time we consider blood pressure in three statuses of Low, Normal and High moods. Heart Problem is classified as apt and inept.
@attribute 'Age' { 22,26,28,27,32,36,33,23,20,29,25,37,24,18,30,40,31,19,21,35,17,38 } @attribute 'Delivery number' { 1,2,3,4 } @attribute 'Delivery time' { 0,1,2 } -> {0 = timely , 1 = premature , 2 = latecomer} @attribute 'Blood of Pressure' { 2,1,0 } -> {0 = low , 1 = normal , 2 = high } @attribute 'Heart Problem' { 1,0 } -> {0 = apt, 1 = inept }
@attribute Caesarian { 0,1 } -> {0 = No, 1 = Yes }
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