<p>For increasing classification thresholds percentages of correct classifications were compared to those expected by chance. Calculations for the random expectation and the random 95% limit were drawn from a hypergeometric distribution and are detailed in <b><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0035349#pone.0035349.s008" target="_blank">Text S1</a></b>.</p
<p>(top) Posterior model probability (see color bar) for each subject. For the exact description of ...
<p>Random 1: selecting randomly features subsets from original features, whose size is one-forth of ...
(*) indicates statistically significant difference (p<0.05). Chance line shown at 50%. Bars indicate...
<p>The false positive error rate represents the ratio of the number of significant correlations from...
Performance at top k predictions, where instances are ranked by a (learned) scoring model, has been ...
<p>Each cell shows the mean proportion of correct predictions (with 95% confidence intervals) averag...
Performance at top k predictions, where instances are ranked by a (learned) scoring model, has been ...
<p>We simulate 1,000 meta-analysis of 10 studies with varying sample sizes where only a subset of th...
Many errors in probabilistic judgment have been attributed to people’s inability to think in statist...
Forecasts of future outcomes, such as the consequences of climate change, are given with different d...
Probability estimates can be given as ranges or uncertainty intervals, where often only one of the i...
<p>Predicted probabilities of adequate sample size reporting with 95% confidence intervals (CIs) der...
<p>Probability of correct selection [%] for competing GE and IG distributions by the <i>R</i><sup>2<...
<p>Probability of correct selection [%] for competing GE and IG distributions by the <i>R</i><sup>1<...
<p>Different sensitivities and specificities of the prediction system by adjusting threshold values....
<p>(top) Posterior model probability (see color bar) for each subject. For the exact description of ...
<p>Random 1: selecting randomly features subsets from original features, whose size is one-forth of ...
(*) indicates statistically significant difference (p<0.05). Chance line shown at 50%. Bars indicate...
<p>The false positive error rate represents the ratio of the number of significant correlations from...
Performance at top k predictions, where instances are ranked by a (learned) scoring model, has been ...
<p>Each cell shows the mean proportion of correct predictions (with 95% confidence intervals) averag...
Performance at top k predictions, where instances are ranked by a (learned) scoring model, has been ...
<p>We simulate 1,000 meta-analysis of 10 studies with varying sample sizes where only a subset of th...
Many errors in probabilistic judgment have been attributed to people’s inability to think in statist...
Forecasts of future outcomes, such as the consequences of climate change, are given with different d...
Probability estimates can be given as ranges or uncertainty intervals, where often only one of the i...
<p>Predicted probabilities of adequate sample size reporting with 95% confidence intervals (CIs) der...
<p>Probability of correct selection [%] for competing GE and IG distributions by the <i>R</i><sup>2<...
<p>Probability of correct selection [%] for competing GE and IG distributions by the <i>R</i><sup>1<...
<p>Different sensitivities and specificities of the prediction system by adjusting threshold values....
<p>(top) Posterior model probability (see color bar) for each subject. For the exact description of ...
<p>Random 1: selecting randomly features subsets from original features, whose size is one-forth of ...
(*) indicates statistically significant difference (p<0.05). Chance line shown at 50%. Bars indicate...