1.6.3 Improvements Benchmarking: confusion table now reports prediction rank as well Bug fix Fixed major problem in confusion matrix determnination for the benchmark module. Prior to this fix, False negatives were not correctly reported. Small fix to report aggregation rules for a rarely happening failure Fixed composition summary when input is empt
<p>Confusion matrix and performance estimates of the multiclass prediction model.</p
stacks 1.0.0 is the first production release of the package. While this release includes only a few ...
Results are averaged across observers and execution of transformation and viewpoint. Actual transfor...
Bug fix Moved the benchmark module form a rule to a workflow. THis allows to ignore the benchmark a...
Bug fix Fixed handling of last common node calculation in confusion matrix where last common anceso...
1.5.0 This update is not backwards compatible. A configuration file update is nescessary. New featu...
Breaking Breaking change: In plot_confusion_matrix(), the targets_col and predictions_col arguments...
Actual materials on the y axis are plotted against perceived materials on the x axis. R2 values indi...
In plot_confusion_matrix(), adds option to only have row and column percentages in the diagonal tile...
<p>Here, TP (true positive) and TN (true negative) denote the number of correctly predicted overlap ...
Confusion matrix achieved from the classification of dairy cow behaviors by the Multi-BP-AdaBoost al...
Since each classifier distinguishes between the desired class and every “other” class, the confusion...
The table compares the results for predicted improved states to their actual ground truth state assi...
A 14 × 14 confusion matrix: Prediction based on the MLR-HomoNet method for the testing data .</p
<p>Matrix delineates distribution of actual compared with predicted class membership for multiclass ...
<p>Confusion matrix and performance estimates of the multiclass prediction model.</p
stacks 1.0.0 is the first production release of the package. While this release includes only a few ...
Results are averaged across observers and execution of transformation and viewpoint. Actual transfor...
Bug fix Moved the benchmark module form a rule to a workflow. THis allows to ignore the benchmark a...
Bug fix Fixed handling of last common node calculation in confusion matrix where last common anceso...
1.5.0 This update is not backwards compatible. A configuration file update is nescessary. New featu...
Breaking Breaking change: In plot_confusion_matrix(), the targets_col and predictions_col arguments...
Actual materials on the y axis are plotted against perceived materials on the x axis. R2 values indi...
In plot_confusion_matrix(), adds option to only have row and column percentages in the diagonal tile...
<p>Here, TP (true positive) and TN (true negative) denote the number of correctly predicted overlap ...
Confusion matrix achieved from the classification of dairy cow behaviors by the Multi-BP-AdaBoost al...
Since each classifier distinguishes between the desired class and every “other” class, the confusion...
The table compares the results for predicted improved states to their actual ground truth state assi...
A 14 × 14 confusion matrix: Prediction based on the MLR-HomoNet method for the testing data .</p
<p>Matrix delineates distribution of actual compared with predicted class membership for multiclass ...
<p>Confusion matrix and performance estimates of the multiclass prediction model.</p
stacks 1.0.0 is the first production release of the package. While this release includes only a few ...
Results are averaged across observers and execution of transformation and viewpoint. Actual transfor...
DOI
Add to ORKG