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
Data Augmentation
Artificially increasing training data through modified copies
Active Learning
Algorithm selecting most informative data points for labeling
Kernel Trick
Transforming data to higher dimensions for linear separability
Logistic Regression
Statistical model estimating binary outcome probabilities
Contrastive Learning
Self-supervised learning by contrasting data pairs
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data