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
Gaussian Mixture Model
Probabilistic model using multiple Gaussian distributions
Random Forest
Ensemble of decision trees that votes on predictions
A/B Testing
Statistical method comparing two versions for performance
Gradient Boosting
Sequential ensemble method correcting previous model errors
Reinforcement Learning ML
Learning optimal decisions through environment interaction
UMAP
Fast dimensionality reduction preserving local and global structure