<p>Results using a simple classifier to apply all three tiers to the gold standard test data set.</p
<p>Results of t-tests (p-values) for comparison of mean performance measures.</p
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
<p>Classification results of three classifiers using the acceleration sensor placed at dominant wris...
<p>Results using a Bayesian classifier with weighted terms to apply all three tiers to the gold stan...
<p>Results for different basic classifiers (mean±SD) by using varied numbers of supplementary traini...
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
<p>Comparison of include results for the two early filter sets on gold standard test data.</p
<p>Classification results: each figure is the average of three independent experiments using differe...
<p>AUC scores for three different classifiers with different types of markers for Metagene and CoMi ...
Classification test accuracies in percents for the individual classifiers and for each data set in t...
<p>Classification results of three methods (%). The highest results of each method are shown in bold...
Number and repartition of positive samples according to the gold standard method.</p
<p>Classification results of three classifiers using all acceleration sensors.</p
The performance comparison results for the three different classifiers using four indexes.</p
<p>The baseline, , indicates that all negative and positive examples are classified incorrectly.</p
<p>Results of t-tests (p-values) for comparison of mean performance measures.</p
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
<p>Classification results of three classifiers using the acceleration sensor placed at dominant wris...
<p>Results using a Bayesian classifier with weighted terms to apply all three tiers to the gold stan...
<p>Results for different basic classifiers (mean±SD) by using varied numbers of supplementary traini...
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
<p>Comparison of include results for the two early filter sets on gold standard test data.</p
<p>Classification results: each figure is the average of three independent experiments using differe...
<p>AUC scores for three different classifiers with different types of markers for Metagene and CoMi ...
Classification test accuracies in percents for the individual classifiers and for each data set in t...
<p>Classification results of three methods (%). The highest results of each method are shown in bold...
Number and repartition of positive samples according to the gold standard method.</p
<p>Classification results of three classifiers using all acceleration sensors.</p
The performance comparison results for the three different classifiers using four indexes.</p
<p>The baseline, , indicates that all negative and positive examples are classified incorrectly.</p
<p>Results of t-tests (p-values) for comparison of mean performance measures.</p
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
<p>Classification results of three classifiers using the acceleration sensor placed at dominant wris...
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