This new procedure measures one factor from the same subject at each distinct time point or condition, and allows subjects to be crossed within the levels. Visually measure the performance of classification models.
This feature supports the inference regarding a single AUC, precision-recall curves, and provides options for comparing two ROC curves that are generated from either independent groups or paired subjects. UC (Area Under The Curve) ROC (Receiver Operating Characteristics) curve is one of the most important evaluation metrics for visualising and checking the performance of classification models. Measures the effect of the predictors on the response variable.Improves results when data contains outliers.This module models the relationship between a set of predictor variables and specific percentiles of a target variable, most often the median. Quantile Regression (SPSS Statistics Regression Module): IBM SPSS Statistics Version 26 includes new statistical tests, enhancements to existing statistics and scripting procedures, and new production facility capabilities.
