Machine Learning
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Underfitting
Quick Definition
When a model is too simple to capture data patterns
Full Definition
A modeling error where a model is too simple to capture the underlying patterns in the data.
Examples
high bias, poor training performance, simple models
Related Terms
overfitting
model-complexity
More Machine Learning Terms
XGBoost
Optimized gradient boosting library for structured data
AdaBoost
Combining weak classifiers with adaptive sample weighting
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
Bias-Variance Tradeoff
The tension between model simplicity and complexity errors
Margin
Distance between decision boundary and nearest data points
Ensemble Learning
Combining multiple models for better predictions