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New Course
Concept
Bayesian Information Criterion
The
Bayesian Information Criterion
(BIC) is a
model selection criterion
that balances
model fit
and complexity, penalizing models with more parameters to prevent overfitting. It is particularly useful in
statistical models
and
machine learning
for
comparing different models
, with
lower BIC values
indicating a better
model fit
relative to its complexity.
Relevant Degrees
Probability and Statistics 70%
Artificial Intelligence Systems 20%
Computational Mathematics 10%
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