<p>Results of permutation statistics using SVM split half cross-validation on uncorrected (red) and age-corrected data (blue). Observed frequency is the cumulative number of accuracies observed for a specific accuracy range.</p
Comparison of prediction results on balanced with Random undersampling and balanced with One-SVM-US ...
<p>The 10-fold cross-validation results of independent test by SVM algorithm with g = 0.005 and cuto...
Comparison of prediction results on balanced with Random undersampling and balanced with One-SVM-US ...
***<p>p-value < 0.005,</p>**<p>p-value < 0.01,</p>*<p>p-value < 0.05 at permutation test.</p
<p>Frequency data from occipito-parietal electrodes were used as classification features to separate...
<p>Average p-values and effect sizes (IOCCM) for comparison of achieved accuracy to chance level in ...
Graduation date: 2009Support Vector Machines (SVM) and Random Forests (RF) have\ud consistently outp...
<p>The accuracy of SVM using just single propensity by the 2-level 10-fold cross validation scheme.<...
A. Balanced Accuracies for the population-level classifier using the generic STM representation as i...
<p>From bottom to top: unconstrained randomisation of assignments (No Constraints, grey), preservati...
<p>Total 1783 cysteine sequences were applied in positive and negative data. Sn, sensitivity; Sp, sp...
<p>Upper panel, frequency distributions of classification patterns identified by the SVM composite m...
SVM classification accuracy in %, with classification based on smoothed (unsmoothed) data within the...
Ranked accuracies from the support vector machine analysis described in the paper for all of the cla...
Ranked accuracies from the support vector machine analysis described in the paper for all of the cla...
Comparison of prediction results on balanced with Random undersampling and balanced with One-SVM-US ...
<p>The 10-fold cross-validation results of independent test by SVM algorithm with g = 0.005 and cuto...
Comparison of prediction results on balanced with Random undersampling and balanced with One-SVM-US ...
***<p>p-value < 0.005,</p>**<p>p-value < 0.01,</p>*<p>p-value < 0.05 at permutation test.</p
<p>Frequency data from occipito-parietal electrodes were used as classification features to separate...
<p>Average p-values and effect sizes (IOCCM) for comparison of achieved accuracy to chance level in ...
Graduation date: 2009Support Vector Machines (SVM) and Random Forests (RF) have\ud consistently outp...
<p>The accuracy of SVM using just single propensity by the 2-level 10-fold cross validation scheme.<...
A. Balanced Accuracies for the population-level classifier using the generic STM representation as i...
<p>From bottom to top: unconstrained randomisation of assignments (No Constraints, grey), preservati...
<p>Total 1783 cysteine sequences were applied in positive and negative data. Sn, sensitivity; Sp, sp...
<p>Upper panel, frequency distributions of classification patterns identified by the SVM composite m...
SVM classification accuracy in %, with classification based on smoothed (unsmoothed) data within the...
Ranked accuracies from the support vector machine analysis described in the paper for all of the cla...
Ranked accuracies from the support vector machine analysis described in the paper for all of the cla...
Comparison of prediction results on balanced with Random undersampling and balanced with One-SVM-US ...
<p>The 10-fold cross-validation results of independent test by SVM algorithm with g = 0.005 and cuto...
Comparison of prediction results on balanced with Random undersampling and balanced with One-SVM-US ...
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