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Empirical AUC for evaluating probabilistic forecasts

Empirical AUC for evaluating probabilistic forecasts

Simon Byrne
ArXiv (abs)PDFHTML

Papers citing "Empirical AUC for evaluating probabilistic forecasts"

6 / 6 papers shown
Title
Evaluating Probabilistic Classifiers: The Triptych
Evaluating Probabilistic Classifiers: The Triptych
Timo Dimitriadis
T. Gneiting
Alexander I. Jordan
Peter Vogel
UQCV
87
11
0
25 Jan 2023
Model selection with Gini indices under auto-calibration
Model selection with Gini indices under auto-calibration
Mario V. Wuthrich
72
9
0
28 Jul 2022
Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice
Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice
Tobias Fissler
Christian Lorentzen
Michael Mayer
53
8
0
25 Feb 2022
To SMOTE, or not to SMOTE?
To SMOTE, or not to SMOTE?
Yotam Elor
Hadar Averbuch-Elor
24
25
0
21 Jan 2022
Feature Cross Search via Submodular Optimization
Feature Cross Search via Submodular Optimization
Lin Chen
Hossein Esfandiari
Gang Fu
Vahab S. Mirrokni
Qian-long Yu
59
6
0
05 Jul 2021
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data
P. Schratz
Jannes Muenchow
E. Iturritxa
Jakob Richter
A. Brenning
95
335
0
29 Mar 2018