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Minimum risk classifier is a variant for Bayes classifier designed to handle this situation [ 68].
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As it is shown in Table 6, the Minimum Risk Bayes classifier with Gaussian PDF outperforms the MD model.
Combination of the best feature-sets showed an average CCR of 77% among four classes, and a correlation coefficient of 69.4% on the minimum risk Bayes classifier with Gaussian probability distribution.
Combination of the best feature-sets shows an average CCR of 77% among four classes, and correlation coefficient of 69.4% on the Minimum Risk Bayes classifier with Gaussian probability distribution.
Results for the best classifier (Minimum Risk Bayes with Gaussian distribution) and the best feature-set combinations are shown in Table 8.
A summary of the effectiveness of the both classifiers (Minimum Risk Bayes Gaussian and MDM) is shown in Table 6.
A summary of the predicted labels in both classifiers (Minimum Risk Bayes Gaussian and MDM) are shown in Table 7.
As the final step to improve the effectiveness of discrimination of party and date hubs, minimum risk versions of our best classifiers, Bayes with Gaussian and Mixture Density Model PDFs, are tested.
To see if risk management improves the results, minimum risk version of the selected base classifiers are also examined.
We did find a slightly stronger association between each risk classifier and risk for breast cancer death among tamoxifen-treated than tamoxifen-untreated patients, suggesting that both risk classifiers capture response to tamoxifen therapy as well as prognosis.
The minimum risk (0.53) was located in Malta and the maximum risk (3.52) in Poland.
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