Rekodi ya ushahidi wa mbinu

Active Learning Logistic Regression

Active Learning with Logistic Regression is an iterative label-efficient framework in which a logistic regression model selects the unlabeled examples it is most uncertain about, an oracle (human annotator) labels them, and the model is retrained — repeating until a labeling budget or accuracy target is met. It dramatically reduces annotation cost compared to random labeling.

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Rekodi ya chanzo

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Active Learning with Logistic Regression (Uncertainty Sampling)

Rekodi ya mbinu ya kiajenda · ml-model / machine-learning

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