Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
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Updated
Aug 24, 2022 - Python
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
GAMLj: GLM, Mixed, Generalized and Generalized mixed models for jamovi
Python package for permutation tests, for statistics and machine learning.
Implementation of "A Large-Scale Study of Probabilistic Calibration in Neural Network Regression" (ICML 2023)
A friendly, automated chi-square test function which takes care of post-hoc tests and multiple comparisons.
Accompanying repository for the paper "Probabilistic Calibration by Design for Neural Network Regression" (AISTATS 2024).
GAMES_HOWELL: post-hoc Games-Howell test for one-way ANOVA.
GUI for analyzing deep learning models with uncertainty in predictions
Introducing a novel lightweight, post-hoc, single-pass, model-agnostic uncertainty quantification model for pretrained deep neural networks, designed for efficiency, scalability, and compatibility.
Simple and multiple linear regressions, Tukey's honest significant difference analyses, and visualizations in R.
[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
Project about experiments of the use of ILASP as a post-hoc method over black-box models, in which we also study and approach technical issues like exponential time execution.
RobustCAM fuses Grad-CAM heatmaps across augmented views to reduce spatial instability, achieving 64% variance reduction on ImageNet/VGG16 and up to 186% consistency improvement on lung CT, cross-validated with LIME and SHAP across ResNet-50/101, DenseNet-161, EfficientNet-B0, and ViT-B/16.
This project applies MANOVA to heart disease data, examining the impact of chest pain type (cp), cholesterol (chol), and heart rate (thalach). It includes normality tests, outlier detection, post-hoc analysis, and cross-validation for model evaluation.
An R project that investigates and visualizes the effect of sex and education on an individual's income level through the use of a full-factorial two-way ANOVA test and relevant post hoc significance tests conducted over a 2014 Pew Research Center dataset consisting of higher education attainment, gender, and income data.
Parametrik olmayan istatistiksel yöntemler dersinin ödevi
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