Machine Learning, Decision Tree, Open Data, Data Science, Artificial Intelligence.
likely to fall into overfitting. Overfitting refers to a model that learns the training data (the data it uses to learn) so well that it has problems to generalize to new (unseen) data. In other words, the model learns the detail and noise (irrelevant information or randomness in a dataset) in the