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
CatBoost
Gradient boosting library with native categorical feature support
AdaBoost
Combining weak classifiers with adaptive sample weighting
LightGBM
Fast gradient boosting framework using histogram splitting
Online Learning
Updating models incrementally as new data arrives
Imbalanced Learning
Handling datasets with unequal class distributions
Cross-Validation
Evaluating model performance with multiple data splits