Expected Calibration Error (ECE) measures the gap between predicted confidence levels and actual accuracy
Image: NASA, Public domain, via Wikimedia Commons
Expected Calibration Error (ECE) measures the gap between predicted confidence levels and actual accuracy
calibration means: a model predicting 80% should be correct 80% of the time
How can we trust a coin flip to predict the weather?
Brier score
Brier score measures mean squared error of probability predictions
F-score
Why is one metric not enough to judge a binary classification model's performance?
Errors and residuals
Ever wonder how accurate predictions are measured?
Binomial proportion confidence interval
Binomial proportion confidence interval estimates success probability
word error rate (WER) measures: edit distance between predicted and reference transcriptions
Ever wondered how machines understand speech as we do?
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