These confusion matrices show the result of applying the empirically-optimal threshold values of 61%, 76%, and 96%, to the four, three, and two-category classifier confusion matrices. (TIF)</p
<p>Confusion matrix for the classifiers of RF, SVM, and WKNN using the input dataset with all the pr...
<p>The numbers on the diagonal indicate the predictive accuracy (in %) of the stBF-classifier for ea...
<p>(A), Confusion matrix of the model performance on the dataset of 15 scenes. The average accuracy ...
Left: 365 nm, Middle: 405 nm, Right: Visible light LED. All classifiers were trained on the identica...
In all three plots, log-scaled histograms of classifier confidence scores are displayed in the patte...
Since each classifier distinguishes between the desired class and every “other” class, the confusion...
The arrangement of the categories is the same as Fig 2 from the main text. For this montage, a maxim...
<p>These are NB (A) and SVM-R (B). The color code indicates average accuracy per composition (the hi...
<p>The decoder was trained and tested on good exemplars (left column) and trained and tested on bad ...
<p>The confusion matrix for taxonomy A was constructed with 10-CV and 17 DEGs. The other confusion m...
The correctly classified data is reflected along the diagonal regions. The misclassified is reflecte...
<p>The confusion matrix for discriminating A three alternatives: and B nine alternatives: is shown...
<p>Confusion matrices with average classification accuracy using the calibration data for GMM-2 and ...
<p>The rows of the matrix indicate the actual roughness provided to the participants and the columns...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrix for the classifiers of RF, SVM, and WKNN using the input dataset with all the pr...
<p>The numbers on the diagonal indicate the predictive accuracy (in %) of the stBF-classifier for ea...
<p>(A), Confusion matrix of the model performance on the dataset of 15 scenes. The average accuracy ...
Left: 365 nm, Middle: 405 nm, Right: Visible light LED. All classifiers were trained on the identica...
In all three plots, log-scaled histograms of classifier confidence scores are displayed in the patte...
Since each classifier distinguishes between the desired class and every “other” class, the confusion...
The arrangement of the categories is the same as Fig 2 from the main text. For this montage, a maxim...
<p>These are NB (A) and SVM-R (B). The color code indicates average accuracy per composition (the hi...
<p>The decoder was trained and tested on good exemplars (left column) and trained and tested on bad ...
<p>The confusion matrix for taxonomy A was constructed with 10-CV and 17 DEGs. The other confusion m...
The correctly classified data is reflected along the diagonal regions. The misclassified is reflecte...
<p>The confusion matrix for discriminating A three alternatives: and B nine alternatives: is shown...
<p>Confusion matrices with average classification accuracy using the calibration data for GMM-2 and ...
<p>The rows of the matrix indicate the actual roughness provided to the participants and the columns...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrix for the classifiers of RF, SVM, and WKNN using the input dataset with all the pr...
<p>The numbers on the diagonal indicate the predictive accuracy (in %) of the stBF-classifier for ea...
<p>(A), Confusion matrix of the model performance on the dataset of 15 scenes. The average accuracy ...