<p>The confusion matrix can be computed for weighted and unweighted data. For unweighted data each data point contributes with a weight of one, whereas for weighted data each data point contributes with its specific weight for the given class.</p
A confusion matrix of classified students using the model developed by the training dataset.</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>The entries of a confusion matrix have been calculated for a classification threshold of 1.5. In ...
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Recall values are calculated over the rows and precision values over the columns.</p
<p>(A) The confusion matrix of model probability, the estimated fraction of data simulated according...
Confusion matrix of each model with different proportions of the training set.</p
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
<p>Confusion matrix for classification by the statistical models versus the empirical models.</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
(a) Fine; (b) Medium; (c) Coarse; (d) Cosine; (e) Cubic; (f) Weighted; (g) Logistic Regression.</p
<p>A confusion matrix for the comparison of controls with responses from the crowd.</p
A confusion matrix of classified students using the model developed by the training dataset in each ...
<p>Confusion Matrix of a Binary Classification.</p><p><i>mycoSet</i> Confusion Matrix.</p
A confusion matrix of classified students using the model developed by the training dataset.</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>The entries of a confusion matrix have been calculated for a classification threshold of 1.5. In ...
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Recall values are calculated over the rows and precision values over the columns.</p
<p>(A) The confusion matrix of model probability, the estimated fraction of data simulated according...
Confusion matrix of each model with different proportions of the training set.</p
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
<p>Confusion matrix for classification by the statistical models versus the empirical models.</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
(a) Fine; (b) Medium; (c) Coarse; (d) Cosine; (e) Cubic; (f) Weighted; (g) Logistic Regression.</p
<p>A confusion matrix for the comparison of controls with responses from the crowd.</p
A confusion matrix of classified students using the model developed by the training dataset in each ...
<p>Confusion Matrix of a Binary Classification.</p><p><i>mycoSet</i> Confusion Matrix.</p
A confusion matrix of classified students using the model developed by the training dataset.</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...
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