Classification using Machine Learning Algorithms ( MALA )

This report summarizes the results of our work on trying to predict the health of a baby. We used two different machine learning algorithms, Weka and our own Naive Bayes Classifier. We discovered that placental ratio and Term/Preterm Birth yield interesting results, based on our list of 19 features. While the placental ratio results are puzzling, we learned that the two features Eclampsia and Chronic Hypertension had a significant relationship between the label Term/Preterm.