Overfitting
Overfitting is a common problem in machine learning where a model learns the training data too well, including its noise and outliers, but does not generalize well to new, unseen data.
Links to This Note
Project Core ML Foundation
... of dimensionality & Prone to Overfitting
Products Evolves Barely Enough to Solve Inconveniences
... The Market Economy denies product Overfitting.
Feature
... the model's performance and reduce Overfitting.
Ensemble learning
... also reduce the risk of Overfitting and underfitting by balancing the ...