Creating Confidence Intervals for Machine Learning Classifiers
A weighted model confidence set: applications to local and mixture model confidence sets
Combining and comparing models using Model Confidence Set | R-bloggers
How to Use Model Confidence Sets for Forecasting and Impulse Response Estimation and the Value of Model Averaging
Forecasting with Many Models: Model Confidence Sets and Forecast Combination
GLOBAL NON-ASYMPTOTIC CONFIDENCE SETS FOR GENERAL LINEAR MODELS M.C. Campi Erik Weyer Department of Electrical Engineering and A
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The five first models in the confidence set. Collectively, these take... | Download Scientific Diagram
Averaged model coefficients of the 90% confidence set of models | Download Scientific Diagram
Asymptotic uncertainty quantification for communities in sparse planted bi-section models - ScienceDirect
Empty confidence sets for epidemics, branching processes and Brownian motion
Model confidence set (MCS) in R - Stack Overflow
Sebastian Raschka on X: "In papers, we typically report confidence intervals around the prediction accuracy. In praxis, we use conformal predictions to capture the uncertainty of the model prediction. For classifiers, this
To be used to evaluate the results from the Model Confidence Set (Hansen, Lunde, Nason 2011) given a set of competing models and more than just one loss function. | Manuela Braione -
loss functions - Model Confidence set - Cross Validated
Predicting With Confidence: Using Conformal Prediction in Drug Discovery - Journal of Pharmaceutical Sciences
MCS/man/MCS-package.Rd at master · cran/MCS · GitHub
The Model Agnostic Confidence Estimator helps over-confident models
Forecasting with Many Models: Model Confidence Sets and Forecast Combination
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Model confidence set p-values for one to twelve months ahead for... | Download Scientific Diagram
climwin: An R Toolbox for Climate Window Analysis | PLOS ONE
Cancer Cell Line Profiler - Conformal Prediction
