A 14 × 14 confusion matrix: Prediction based on the LR-HeteNet method for the testing data .</p
<p>Prediction value (mean ± SEM) of the confusion matrix obtained by the non linear model.</p
Confusion matrix showing the results of the testing phase for the GoogLeNet neural network.</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
A 14 × 14 confusion matrix: Prediction based on the MLR-HomoNet method for the testing data .</p
A 14 × 14 confusion matrix: Model fittness based on the LR-HeteNet method for the training data .</p
<p>Confusion matrix and performance estimates of the multiclass prediction model.</p
Confusion matrix showing the results of the testing phase for the LeNet neural network.</p
A 14 × 14 confusion matrix: Model fittness based on the MLR-HomoNet method for the training data .</...
<p>Prediction value (mean ± SEM) of the confusion matrix obtained by the linear model.</p
<p>Confusion matrix—observed and predicted values obtained using the Cavnar and Trenkle procedure fo...
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
<p>The confusion matrices of a) Tabassian’s method, and b) proposed method for the artificial datase...
<p>Confusion matrix indicating the technological application or origin prediction of 172 strains and...
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Confusion matrix—observed and predicted values obtained using the Naïve Bayes procedure for the c...
<p>Prediction value (mean ± SEM) of the confusion matrix obtained by the non linear model.</p
Confusion matrix showing the results of the testing phase for the GoogLeNet neural network.</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
A 14 × 14 confusion matrix: Prediction based on the MLR-HomoNet method for the testing data .</p
A 14 × 14 confusion matrix: Model fittness based on the LR-HeteNet method for the training data .</p
<p>Confusion matrix and performance estimates of the multiclass prediction model.</p
Confusion matrix showing the results of the testing phase for the LeNet neural network.</p
A 14 × 14 confusion matrix: Model fittness based on the MLR-HomoNet method for the training data .</...
<p>Prediction value (mean ± SEM) of the confusion matrix obtained by the linear model.</p
<p>Confusion matrix—observed and predicted values obtained using the Cavnar and Trenkle procedure fo...
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
<p>The confusion matrices of a) Tabassian’s method, and b) proposed method for the artificial datase...
<p>Confusion matrix indicating the technological application or origin prediction of 172 strains and...
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Confusion matrix—observed and predicted values obtained using the Naïve Bayes procedure for the c...
<p>Prediction value (mean ± SEM) of the confusion matrix obtained by the non linear model.</p
Confusion matrix showing the results of the testing phase for the GoogLeNet neural network.</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
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