PREDIKSI OPERASI SESAR DENGAN MACHINE LEARNING

Abstract

The cost of childbirth with a cesarean section at this time is doubled compared to the cost of a normal delivery, this is certainly mandatory for families. Machine learning can be one option to predict the possibility of labor by cesarean. Previous researchers had made predictions by classifying the cesarean operation dataset, but the accuracy of the test results showed different results. This paper verifies test results by retesting using the Multi Layer Preceptron (MLP) algorithm. Previous researchers did not carry out the process of dividing the dataset into training and testing datasets. This study divides the dataset into training and testing datasets so that its accuracy can be accounted for. The test results showed that the best accuracy was in the range of 56% and the dataset identified as underfit.