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
Model Selection
Choosing the best ML model from candidates
Feature Selection
Identifying the most relevant features for model training
DBSCAN
Density-based clustering finding clusters of varying shapes
CatBoost
Gradient boosting library with native categorical feature support
Gradient Boosting
Sequential ensemble method correcting previous model errors
Kernel Trick
Transforming data to higher dimensions for linear separability