124 research outputs found
Results of evaluate metrics on the test data and 0.1 noisy ratio.
Results of evaluate metrics on the test data and 0.1 noisy ratio.</p
Results of evaulate metrics on the breast cancer test data and 0.1 noisy ratio.
Results of evaulate metrics on the breast cancer test data and 0.1 noisy ratio.</p
Results of evaulate metrics on the test data and 0.2 noisy ratio.
Results of evaulate metrics on the test data and 0.2 noisy ratio.</p
Results of evaulate metrics on the test data and 0.3 noisy ratio.
Results of evaulate metrics on the test data and 0.3 noisy ratio.</p
Results of evaulate metrics on the test data and 0.2 noisy ratio.
Results of evaulate metrics on the test data and 0.2 noisy ratio.</p
<i>Precision</i> on test data with <i>γ</i>-probit model and 500*1000 training data size.
The four subfigures of this figure can lead to similar conclusions as in Fig 2.</p
Results of evaluate metrics on the test data and 0.2 noisy ratio.
Results of evaluate metrics on the test data and 0.2 noisy ratio.</p
Results of evaluate metrics on the test data and 0.3 noisy ratio.
Results of evaluate metrics on the test data and 0.3 noisy ratio.</p
Results of evaluate metrics on the test data and 0.3 noisy ratio.
Results of evaluate metrics on the test data and 0.3 noisy ratio.</p
Results of evaluate metrics on the test data and 0.1 noisy ratio.
Results of evaluate metrics on the test data and 0.1 noisy ratio.</p
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