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