StreamableGeneric Nodes - Node extension for KNIME Workbench provided by Lhasa Limited version 1.2.100.v202007031132 by Lhasa Limited
Missing values are handled in the following ways: missing activity is ignored completely regardless of selection of "Missing out of domain". Selecting the missing out of domain option will increment the out of domain count when the prediction value is missing but the activity value is present.
Target values that do not match the active or inactive value specified are not included in the calculation.
Balanced accuracy: Sensitivity + Specificity / 2
Accuracy: TP + TN / 2
Sensitivity: TP / (TP + FN)
Specificity: TN / (TN + FP)
Precision aka Positive Predictivity (PPV): TP / (TP + FP)
Negative predictivity (NPV):TN / (TN + FN)
Recall: TP / (TP + FN)
F-Measure: 2 * ((precision * recall) / (precision + recall))
MCC: Matthews correlation coefficient / Karl Pearson's phi coefficient
Youden's J Statistic: sensitivity + specificity - 1
Balanced PPV: sensitivity / sensitivity + 1 - specificity
Balanced NPV: specificity / specificity + 1 - sensitivity
Coverage out of domain / total. The total included equivocal
Also outputs the counts for TP, FP, TN, FN, number of equivocals and number of out of domains and coverage (% not out of domain).
To use this node in KNIME, install Lhasa public plugin from the following update site:
A zipped version of the software site can be downloaded here.
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