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
DBSCAN
Density-based clustering finding clusters of varying shapes
Clustering
Grouping similar data points based on feature similarity
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
Bagging
Training models on random subsets and averaging predictions
LightGBM
Fast gradient boosting framework using histogram splitting
t-SNE
Nonlinear technique for visualizing high-dimensional data