Binned Performance

Calculates various performance measures (detailed below) on the input table. This node also takes a column to bin the values on, for example bin on a probability column into 5 bins of: 0.5 ... 0.6, 0.6 ... 0.7, 0.7 ... 0.8, 0.8 ... 0.9 and 0.9 ... 1.0. The min value of the first bin is inclusive and the min value is exclusive for all other bins. All ranges are inclusive of the max value.


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))

Also outputs the counts for TP, FP, TN, FN, number of equivocals and number of out of domains and coverage (% not out of domain).

Note that the number of equivocals and number out of domain do not impact on the Cooper statistics (Sensitivity, specificity etc.)

Target values that do not match the active or inactive value specified are not included in the calculation.


Binning column
Column which binning should be applied to
Target column
True/experimental activity
Prediction column
Predicted activity
Active (positive) string
String value that represents active
Inactive (negative) string
String value that represents inactive
Equivocal string
String value that represents an equivocal result (prediction only)
Out of domain string
String value that represents a compound which is out of the model's domain
Number of bins
How many bins to create
Range min
The minimum value for the range. If Fail on range issues is checked this must be equal to or smaller than the domain min.
Range max
The maximum value for the range. If Fail on range issues is checked this must be equal to or greater than the domain max.
Fail on range issues
If true then the node will fail to run if the domain of the column falls outside the min and max of the specified range. If you are running in a loop the domain may change, if you want the node to run and output the erroneous rows to the second output uncheck this value. You can also uncheck the value if you only want to use a subset of the range covered in a table.

Input Ports

Table containing at least the binning column, activity and prediction.

Output Ports

Row containing all the calculated measures per bin
A row may fail because of a missing value or a value outside the binning range. These rows are output in this table.


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