Picture for Andreas Groll

Andreas Groll

Churn modeling of life insurance policies via statistical and machine learning methods -- Analysis of important features

Add code
Feb 18, 2022
Figure 1 for Churn modeling of life insurance policies via statistical and machine learning methods -- Analysis of important features
Figure 2 for Churn modeling of life insurance policies via statistical and machine learning methods -- Analysis of important features
Figure 3 for Churn modeling of life insurance policies via statistical and machine learning methods -- Analysis of important features
Figure 4 for Churn modeling of life insurance policies via statistical and machine learning methods -- Analysis of important features
Viaarxiv icon

Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?

Add code
Jan 14, 2022
Figure 1 for Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?
Figure 2 for Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?
Figure 3 for Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?
Figure 4 for Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?
Viaarxiv icon

Hybrid Machine Learning Forecasts for the UEFA EURO 2020

Add code
Jun 07, 2021
Figure 1 for Hybrid Machine Learning Forecasts for the UEFA EURO 2020
Figure 2 for Hybrid Machine Learning Forecasts for the UEFA EURO 2020
Figure 3 for Hybrid Machine Learning Forecasts for the UEFA EURO 2020
Figure 4 for Hybrid Machine Learning Forecasts for the UEFA EURO 2020
Viaarxiv icon

Deducing neighborhoods of classes from a fitted model

Add code
Sep 17, 2020
Figure 1 for Deducing neighborhoods of classes from a fitted model
Figure 2 for Deducing neighborhoods of classes from a fitted model
Figure 3 for Deducing neighborhoods of classes from a fitted model
Figure 4 for Deducing neighborhoods of classes from a fitted model
Viaarxiv icon

Random boosting and random^2 forests -- A random tree depth injection approach

Add code
Sep 13, 2020
Figure 1 for Random boosting and random^2 forests -- A random tree depth injection approach
Figure 2 for Random boosting and random^2 forests -- A random tree depth injection approach
Figure 3 for Random boosting and random^2 forests -- A random tree depth injection approach
Figure 4 for Random boosting and random^2 forests -- A random tree depth injection approach
Viaarxiv icon

Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019

Add code
Jun 03, 2019
Figure 1 for Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019
Figure 2 for Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019
Figure 3 for Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019
Figure 4 for Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019
Viaarxiv icon