In the field of machine learning and specifically the problem of statistical classification, a confusion matrix, also known as an error matrix, is a specific table layout that allows visualization of the performance of an algorithm, typically a supervised learning one (in unsupervised learning it is usually called a matching matrix). Each row of the matrix represents the instances in a predicted class while each column represents the instances in an actual class (or vice versa) pycm(python confusion matrix) is a multi class confusion matrix library in python. First Release Supported Class Statistics : ACC BM DOR F1-Score FDR FNR FOR FPR LR+ LR- MCC MK NPV PPV TNR TP
<p>The confusion matrix of multi-scale segmentation and supervised classification result.</p
<p>Matrix delineates distribution of actual compared with predicted class membership for multiclass ...
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
PyCM is a multi-class confusion matrix library written in Python that supports both input data vecto...
New parameters added : Cramer's V 95% Confidence interval Chi-Squared Phi-Squared Chi-Squared D...
<p>The subfigures correspond to the performance of the algorithm using different numbers of labeled ...
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>(A) The confusion matrix of model probability, the estimated fraction of data simulated according...
Confusion matrix (error matrix): the entry in row k and column l is the number of test datapoints wh...
<p>Confusion matrix and performance estimates of the multiclass prediction model.</p
<p>The subfigures correspond to the performance of the algorithm using different numbers of labeled ...
The correctly classified data is reflected along the diagonal regions. The misclassified is reflecte...
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
A confusion matrix of classified students using the model developed by the training dataset.</p
<p>The confusion matrix of multi-scale segmentation and supervised classification result.</p
<p>Matrix delineates distribution of actual compared with predicted class membership for multiclass ...
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
PyCM is a multi-class confusion matrix library written in Python that supports both input data vecto...
New parameters added : Cramer's V 95% Confidence interval Chi-Squared Phi-Squared Chi-Squared D...
<p>The subfigures correspond to the performance of the algorithm using different numbers of labeled ...
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>(A) The confusion matrix of model probability, the estimated fraction of data simulated according...
Confusion matrix (error matrix): the entry in row k and column l is the number of test datapoints wh...
<p>Confusion matrix and performance estimates of the multiclass prediction model.</p
<p>The subfigures correspond to the performance of the algorithm using different numbers of labeled ...
The correctly classified data is reflected along the diagonal regions. The misclassified is reflecte...
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
A confusion matrix of classified students using the model developed by the training dataset.</p
<p>The confusion matrix of multi-scale segmentation and supervised classification result.</p
<p>Matrix delineates distribution of actual compared with predicted class membership for multiclass ...
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...