<p>Statistical significance tests (paired T-test) of the performance difference between the machine learning algorithms and the baselines on stroke type identification.</p
<p>P values and effect sizes (in parentheses) from paired-sample t-tests between each pair of expres...
<p>Inferential statistics for paired-sample t-tests comparing threat perception ratings between. emo...
<p>The entries in cells indicate that the two systems are significantly different in F-scores. AR: A...
<p>Statistical significance tests (paired T-test) of the performance difference between the machine ...
<p>Inferential statistics for paired-sample t-tests comparing facial expression recognition accuracy...
<p>TAS denotes the number of trait associated SNPs. Machine learning test is based on ensemble learn...
The mean result of machine learning models is determined by utilizing k-fold cross-validation. The a...
<p>Performance of different classification algorithms for stroke type identification.</p
This paper reviews five statistical tests for determining whether one learning algorithm outperforms...
Abstract. Statistical signicance tests are often used in machine learning to compare the per-formanc...
<p>Performance of different classification algorithms for stroke case identification.</p
<p>The entries in <b>bold</b> indicate statistically signifcant difference (p < 0.05).</p
Empirical research in learning algorithms for classification tasks generally requires the use of sig...
<p>Inferential statistics for paired-sample t-tests comparing approachability ratings between contex...
This article reviews five approximate statistical tests for determining whether one learning algorit...
<p>P values and effect sizes (in parentheses) from paired-sample t-tests between each pair of expres...
<p>Inferential statistics for paired-sample t-tests comparing threat perception ratings between. emo...
<p>The entries in cells indicate that the two systems are significantly different in F-scores. AR: A...
<p>Statistical significance tests (paired T-test) of the performance difference between the machine ...
<p>Inferential statistics for paired-sample t-tests comparing facial expression recognition accuracy...
<p>TAS denotes the number of trait associated SNPs. Machine learning test is based on ensemble learn...
The mean result of machine learning models is determined by utilizing k-fold cross-validation. The a...
<p>Performance of different classification algorithms for stroke type identification.</p
This paper reviews five statistical tests for determining whether one learning algorithm outperforms...
Abstract. Statistical signicance tests are often used in machine learning to compare the per-formanc...
<p>Performance of different classification algorithms for stroke case identification.</p
<p>The entries in <b>bold</b> indicate statistically signifcant difference (p < 0.05).</p
Empirical research in learning algorithms for classification tasks generally requires the use of sig...
<p>Inferential statistics for paired-sample t-tests comparing approachability ratings between contex...
This article reviews five approximate statistical tests for determining whether one learning algorit...
<p>P values and effect sizes (in parentheses) from paired-sample t-tests between each pair of expres...
<p>Inferential statistics for paired-sample t-tests comparing threat perception ratings between. emo...
<p>The entries in cells indicate that the two systems are significantly different in F-scores. AR: A...