<p>Performance (%) of different variants of Oscar on Sciborg test data using the models trained on Sciborg data and PubMed data.</p
Performance of machine learning models on test set using the original imbalanced training set.</p
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
<p>There are 10 independent runs on the training (LFP-TRN) and test (LFP-TEST) data sets.</p
<p>Performance of different variants of Oscar on PubMed test data using ...
<p>Performance of different Oscar pattern recogniser versions on Sciborg...
Performance comparison of a species-specific predictor using the test dataset.</p
<p>Performance of the models trained by human polymorphism and primate polymorphism.</p
Performance statistics of the tested algorithms at different activity levels.</p
<p>Relative performance (in %) of our adapted algorithms with respect to their baseline.</p
<p>The Performance of SVM Models on test dataset D5 (experimental binding affinities obtained from l...
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Percentage of correct predictions with standard error for the genotype data using single-task, mu...
<p>Comparison of the treating performance among different model test solutions (pH = 7.05±0.25).</p
Performance of tested case ascertainment algorithms on training and validation sets (medical charts ...
<p>Performance of the AVPpred and EAPpred models training set V<sup>75p+75n</sup>.</p
Performance of machine learning models on test set using the original imbalanced training set.</p
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
<p>There are 10 independent runs on the training (LFP-TRN) and test (LFP-TEST) data sets.</p
<p>Performance of different variants of Oscar on PubMed test data using ...
<p>Performance of different Oscar pattern recogniser versions on Sciborg...
Performance comparison of a species-specific predictor using the test dataset.</p
<p>Performance of the models trained by human polymorphism and primate polymorphism.</p
Performance statistics of the tested algorithms at different activity levels.</p
<p>Relative performance (in %) of our adapted algorithms with respect to their baseline.</p
<p>The Performance of SVM Models on test dataset D5 (experimental binding affinities obtained from l...
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Percentage of correct predictions with standard error for the genotype data using single-task, mu...
<p>Comparison of the treating performance among different model test solutions (pH = 7.05±0.25).</p
Performance of tested case ascertainment algorithms on training and validation sets (medical charts ...
<p>Performance of the AVPpred and EAPpred models training set V<sup>75p+75n</sup>.</p
Performance of machine learning models on test set using the original imbalanced training set.</p
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
<p>There are 10 independent runs on the training (LFP-TRN) and test (LFP-TEST) data sets.</p
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