What is Underfitting?
Underfitting occurs when a model fails to capture the complexity of the training data and thus is a poor representation of the relationship between the features and the target.
Underfitting occurs when a model fails to capture the complexity of the training data and thus is a poor representation of the relationship between the features and the target.
Classical statistics tends to focus more on the process of inference, or learning from data, while in Machine Learning, prediction accuracy is usually more of interest.
Machine learning is a method of teaching computers to learn from data, without being explicitly programmed.
Read more..