<p>The confusion matrix of multi-scale segmentation and supervised classification result.</p
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
Confusion matrix of cell classification task performed by the convolutional neural network using mod...
A confusion matrix of classified students using the model developed by the training dataset.</p
<p>Confusion matrix of the result of the support vector machine classifier for the diagnosis.</p
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
<p>Confusion matrix of the classification results after automated correction.</p
Confusion matrix of each model with different proportions of the training set.</p
<p>Confusion matrix and overall performance of the classifier used to determine the sharpness of the...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>The confusion matrix and metrics for the model built to detect macrosteatosis.</p
A confusion matrix of classified students using the model developed by the training dataset in each ...
The diagonal values indicate the ratio of correct classifications for each digit, while off-diagonal...
Confusion matrix achieved from the classification of dairy cow behaviors by the Multi-BP-AdaBoost al...
Confusion matrix showing the results of the testing phase for the LeNet neural network.</p
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
Confusion matrix of cell classification task performed by the convolutional neural network using mod...
A confusion matrix of classified students using the model developed by the training dataset.</p
<p>Confusion matrix of the result of the support vector machine classifier for the diagnosis.</p
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
<p>Confusion matrix of the classification results after automated correction.</p
Confusion matrix of each model with different proportions of the training set.</p
<p>Confusion matrix and overall performance of the classifier used to determine the sharpness of the...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>The confusion matrix and metrics for the model built to detect macrosteatosis.</p
A confusion matrix of classified students using the model developed by the training dataset in each ...
The diagonal values indicate the ratio of correct classifications for each digit, while off-diagonal...
Confusion matrix achieved from the classification of dairy cow behaviors by the Multi-BP-AdaBoost al...
Confusion matrix showing the results of the testing phase for the LeNet neural network.</p
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
Confusion matrix of cell classification task performed by the convolutional neural network using mod...
A confusion matrix of classified students using the model developed by the training dataset.</p
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