From 7332fa68273e5bbf2d6225e8ce6a27bda309f564 Mon Sep 17 00:00:00 2001 From: overdodactyl Date: Mon, 1 Jan 2024 23:01:40 -0700 Subject: [PATCH] docs: update R CMD check badge --- README.Rmd | 2 +- README.md | 18 +++++++++--------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/README.Rmd b/README.Rmd index 65f730c..ddcd26a 100755 --- a/README.Rmd +++ b/README.Rmd @@ -17,7 +17,7 @@ knitr::opts_chunk$set( [![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental) -[![R-CMD-check](https://github.com/overdodactyl/diagnosticSummary/workflows/R-CMD-check/badge.svg)](https://github.com/overdodactyl/diagnosticSummary/actions) +[![R-CMD-check](https://github.com/overdodactyl/diagnosticSummary/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/overdodactyl/diagnosticSummary/actions/workflows/R-CMD-check.yaml) `diagnosticSummary` is designed to quickly create diagnostic summaries and reports for binary classification data. diff --git a/README.md b/README.md index c9d32d6..f4fce6d 100755 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ [![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental) -[![R-CMD-check](https://github.com/overdodactyl/diagnosticSummary/workflows/R-CMD-check/badge.svg)](https://github.com/overdodactyl/diagnosticSummary/actions) +[![R-CMD-check](https://github.com/overdodactyl/diagnosticSummary/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/overdodactyl/diagnosticSummary/actions/workflows/R-CMD-check.yaml) `diagnosticSummary` is designed to quickly create diagnostic summaries @@ -67,20 +67,20 @@ summary(dx_obj, variable = "Overall", show_var = F, show_label = F) | LRT+ | 3.54 (2.66, 4.71) | | LRT- | 0.20 (0.13, 0.32) | | Odds Ratio | 17.59 (9.12, 33.94) | -| F1 Score | 75.5% (68.3%, 81.2%) | -| F2 Score | 80.7% (74.2%, 86.3%) | +| F1 Score | 75.5% (68.3%, 81.5%) | +| F2 Score | 80.7% (74.0%, 86.4%) | | Prevalence | 37.5% (31.7%, 43.7%) | | False Negative Rate | 15.3% (8.8%, 24.0%) | | False Positive Rate | 23.9% (17.6%, 31.2%) | | False Discovery Rate | 32.0% (23.8%, 41.0%) | | AUC PR | 0.87 | | Cohen’s Kappa | 0.58 (0.48, 0.68) | -| Matthews Correlation Coefficient | 59.0% (49.0%, 68.5%) | -| Balanced Accuracy | 80.4% (75.7%, 85.0%) | -| Informedness | 60.8% (50.8%, 69.7%) | -| Markedness | 57.2% (47.0%, 66.5%) | -| G-mean | 80.3% (75.7%, 84.7%) | -| Fowlkes-Mallows Index | 75.9% (69.1%, 82.1%) | +| Matthews Correlation Coefficient | 59.0% (48.9%, 68.4%) | +| Balanced Accuracy | 80.4% (75.3%, 85.1%) | +| Informedness | 60.8% (50.9%, 70.7%) | +| Markedness | 57.2% (47.4%, 67.2%) | +| G-mean | 80.3% (75.1%, 84.8%) | +| Fowlkes-Mallows Index | 75.9% (69.6%, 81.4%) | | Brier Score | 0.11 | | Pearson’s Chi-squared | p\<0.01 | | Pearson’s Chi-squared | p\<0.01 |