A confusion matrix of classified students using the model developed by the training dataset.</p
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
A 14 × 14 confusion matrix: Model fittness based on the MLR-HomoNet method for the training data .</...
The diagonal values indicate the ratio of correct classifications for each digit, while off-diagonal...
A confusion matrix of classified students using the model developed by the training dataset in each ...
Confusion matrix of each model with different proportions of the training set.</p
<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 for the classification of the principal Tsik class into sub-classes using OPF wi...
<p>(A) The confusion matrix of model probability, the estimated fraction of data simulated according...
<p>Fraction of the test data that is assigned to each class based on the posterior probability assig...
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...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<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...
A 14 × 14 confusion matrix: Model fittness based on the MLR-HomoNet method for the training data .</...
The diagonal values indicate the ratio of correct classifications for each digit, while off-diagonal...
A confusion matrix of classified students using the model developed by the training dataset in each ...
Confusion matrix of each model with different proportions of the training set.</p
<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 for the classification of the principal Tsik class into sub-classes using OPF wi...
<p>(A) The confusion matrix of model probability, the estimated fraction of data simulated according...
<p>Fraction of the test data that is assigned to each class based on the posterior probability assig...
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...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<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...
A 14 × 14 confusion matrix: Model fittness based on the MLR-HomoNet method for the training data .</...
The diagonal values indicate the ratio of correct classifications for each digit, while off-diagonal...
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