Predictive Systems Classifier (Regression)

The node returns values from CDF that correspond to provided percentile values, the probabilities of value being within quantiles, less the fixed values and less than test value depending the provided settings. This node is supposed to be used WITH Conformal Calibration and Conformal Prediction loops.

Options

Settings

Probability distribution column

The column that contains the CDF values for the samples to be predicted.

Target value

A fixed value to compare prediction with. As the output there will be a calculated probability that the predicted values are lower than this fixed value.

Target column

Column that contains values to compare with (test set). As the output there will be a calculated probability that the predicted values are lower than corresponding values from the selected column.

Lower percentiles (%)

The desired percentile cutoff that controls the lower border of the interval from which the predictions could be sampled. The interval is used for estimating the range of possible errors. As the output there will be a calculated probability that the predicted values are higher than the border value corresponding to the percentile. Multiple lower percentiles are allowed, setting the lower interval is optional.

Upper percentiles (%)

The desired percentile cutoff that controls the upper border of the interval from which the predictions could be sampled. The interval is used for estimating the range of possible errors. As the output there will be a calculated probability that the predicted values are lower than the border value corresponding to the percentile. Multiple higher intervals are allowed, setting the upper interval is optional.

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Workflows

• Conformal predictive systems (advanced)KNIME Hub

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