<p>Confusion matrix of the classification results after automated correction.</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrix for classification by the statistical models versus the empirical models.</p
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Confusion matrix of the result of the support vector machine classifier for the diagnosis.</p
<p>The confusion matrix of multi-scale segmentation and supervised classification result.</p
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
The diagonal values indicate the ratio of correct classifications for each digit, while off-diagonal...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
Confusion matrix showing the results of the testing phase for the GoogLeNet neural network.</p
Confusion matrix showing the results of the testing phase for the LeNet neural network.</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrix and overall performance of the classifier used to determine the sharpness of the...
<p>Recall values are calculated over the rows and precision values over the columns.</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrix for classification by the statistical models versus the empirical models.</p
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Confusion matrix of the result of the support vector machine classifier for the diagnosis.</p
<p>The confusion matrix of multi-scale segmentation and supervised classification result.</p
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
The diagonal values indicate the ratio of correct classifications for each digit, while off-diagonal...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
Confusion matrix showing the results of the testing phase for the GoogLeNet neural network.</p
Confusion matrix showing the results of the testing phase for the LeNet neural network.</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrix and overall performance of the classifier used to determine the sharpness of the...
<p>Recall values are calculated over the rows and precision values over the columns.</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrix for classification by the statistical models versus the empirical models.</p
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