<p>The interspersing of the plots representing matrices with different accuracies but similar entropies is evident at all levels for and but only for lower levels of accuracy for . This entails that accuracy is not a good criterion to judge the flow of information from the input labels to the output labels of a classifier (see text).</p
<p>Left: the rows of the full matrix represent the actual positions of the virtual rat while its col...
The correctly classified data is reflected along the diagonal regions. The misclassified is reflecte...
As can be seen, a completely non-uniform distribution of colours (i.e., a single colour) results in ...
There are many methods for determining the Classification Accuracy. In this paper significance of En...
<p>Left, perplexity reduction in the input (learning) chain; right, perplexity increase in the outpu...
The colours of the heat map correspond to the percentage of classification in each category. The acc...
We develop two tools to analyze the behavior of multiple-class, or multi-class, classifiers by means...
<p>These are NB (A) and SVM-R (B). The color code indicates average accuracy per composition (the hi...
(a) Accuracy at entropy threshold 0.2, (b) at 0.5, and (c) at 0.8. (d) The number of processed image...
For evaluating the classification model of an information system, a proper measure is usually needed...
The most widely spread measure of performance, accuracy, suffers from a paradox: predictive models w...
The most widely spread measure of performance, accuracy, suffers from a paradox: predictive models w...
The most widely spread measure of performance, accuracy, suffers from a paradox: predictive models w...
<p>The confusion matrix for discriminating A three alternatives: and B nine alternatives: is shown...
<p>95% Box-plots of the three-cluster scales is in Yellow color with observed entropy being marked i...
<p>Left: the rows of the full matrix represent the actual positions of the virtual rat while its col...
The correctly classified data is reflected along the diagonal regions. The misclassified is reflecte...
As can be seen, a completely non-uniform distribution of colours (i.e., a single colour) results in ...
There are many methods for determining the Classification Accuracy. In this paper significance of En...
<p>Left, perplexity reduction in the input (learning) chain; right, perplexity increase in the outpu...
The colours of the heat map correspond to the percentage of classification in each category. The acc...
We develop two tools to analyze the behavior of multiple-class, or multi-class, classifiers by means...
<p>These are NB (A) and SVM-R (B). The color code indicates average accuracy per composition (the hi...
(a) Accuracy at entropy threshold 0.2, (b) at 0.5, and (c) at 0.8. (d) The number of processed image...
For evaluating the classification model of an information system, a proper measure is usually needed...
The most widely spread measure of performance, accuracy, suffers from a paradox: predictive models w...
The most widely spread measure of performance, accuracy, suffers from a paradox: predictive models w...
The most widely spread measure of performance, accuracy, suffers from a paradox: predictive models w...
<p>The confusion matrix for discriminating A three alternatives: and B nine alternatives: is shown...
<p>95% Box-plots of the three-cluster scales is in Yellow color with observed entropy being marked i...
<p>Left: the rows of the full matrix represent the actual positions of the virtual rat while its col...
The correctly classified data is reflected along the diagonal regions. The misclassified is reflecte...
As can be seen, a completely non-uniform distribution of colours (i.e., a single colour) results in ...