Machine Learning Accuracy Using Synthetic Data

Synthetic data has been tested for its effectiveness in machine learning models against original datasets. Experiments were conducted using popular ML algorithms on several Kaggle datasets and the results showed that synthetic data performed quite well, with similar accuracy to the original data. The use of synthetic data can be beneficial in situations where access to sensitive data is restricted or when there is a lack of relevant data for training models. Synthetic data can also help broaden testing scenarios and improve AI systems' performance.