IBM SPSS Statistics 26
New and Advanced Statistics
- Quantile Regression (SPSS Statistics Regression Module): This module models the relationship between a set of predictor variables and specific percentiles of a target variable, most often the median.
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- Improves results when data contains outliers
- Measures the effect of the predictors on the response variable
- ROC Analysis (SPSS Statistics Base): AUC (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. 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.
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- Visually measure the performance of classification models
- Compare classification models
Product:IBM SPSS Statistics 26
Lanaguage:english
Platform:Win/Linux
Size:1CD