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Entropy and Accuracy
Accuracy:
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Heuristic approach to the concept, we can have a high probability of making correct predictions and predict wrong most of the time yielding poor accuracy.
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Log scoring Rule for accuracy measure inherently uses the Bayes Theorem with joint probabilities (likelihood).
Entropy:
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The uncertainty contained in a probability distribution.
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Average log-prob of the event
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Is closely related to its scientific meaning, the measure of disorder in a system, now in terms of probability.
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Tags
Bayesian Statistics
Statistics
Data Science
Related
Statistical Golems
Plausibility
Posterior Distribution
Building a Bayesian Model
Correlation is not equal to causality
Gaussian Distribution
Linear Predictions
Perils of Multiple Regression
Sampling the Imaginary
Underfitting vs Overfitting
Entropy and Accuracy
Symmetry of Interactions
Continuous Interactions
Markov Chain Monte Carlo
Maximum Entropy Priors
GLM and Exponential Family
Rethink: Logit Link
Multiple Regression
Interaction Effect