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Last doc build: https://output.circle-artifacts.com/output/job/d77ed2a4-3c2a-48e2-838d-75bc08bb00a7/artifacts/0/dev/auto_examples/validation/plot_cross_val_score_for_da.html#sphx-glr-auto-examples-validation-plot-cross-val-score-for-da-py
In this example we compare 2 estimators for a binary classification task. The first estimator uses DA methods and the second one doesn't.
The 1st estimator has an accuracy of 0.93. The 2nd estimator has an accuracy of 0.00.
There is clearly a mistake for the 2nd estimator knowing that we're doing a binary classification task.
The text was updated successfully, but these errors were encountered:
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Last doc build: https://output.circle-artifacts.com/output/job/d77ed2a4-3c2a-48e2-838d-75bc08bb00a7/artifacts/0/dev/auto_examples/validation/plot_cross_val_score_for_da.html#sphx-glr-auto-examples-validation-plot-cross-val-score-for-da-py
In this example we compare 2 estimators for a binary classification task.
The first estimator uses DA methods and the second one doesn't.
The 1st estimator has an accuracy of 0.93.
The 2nd estimator has an accuracy of 0.00.
There is clearly a mistake for the 2nd estimator knowing that we're doing a binary classification task.
The text was updated successfully, but these errors were encountered: