In order to evaluate fetal health metrics based on cardiotocography (CTG) analysis, this dataset is utilized for training. In order to train the health of the fetus, it includes functions like the baseline fetal heart rate (FHR), accelerations, fetal movements, uterine contractions, decelerations (normal, suspicious, pathological), and short-term variability (STV). Machine learning models are typically trained using 80% of the data, with 20% reserved for testing to assess model performance and guarantee precise forecasts for fetal health outcomes