Björn Holzhauer
@bjoernstats.bsky.social
Biostatistician that keeps geese, chess CM, Kaggle master, one of the authors of Applied Modelling in Drug Development https://opensource.nibr.com/bamdd/
I just had my first top 1% finish (24/2639) in a Kaggle (tabular playground series) competition. Accuracy is such a noisy low information competition metric (even with 10,000s observations) that you have to be very careful to not overfit the out-of-fold observations of your cross-validation.
December 1, 2024 at 9:05 PM
I just had my first top 1% finish (24/2639) in a Kaggle (tabular playground series) competition. Accuracy is such a noisy low information competition metric (even with 10,000s observations) that you have to be very careful to not overfit the out-of-fold observations of your cross-validation.
Without naming the company, this is disappointing. Company's webpage:"We are committed to disclosing the results of clinical trials on all applicable registries in accordance with applicable law." + "This clinical trial is now complete. When available, results will be posted on ClinicalTrials.gov."
November 26, 2024 at 9:31 PM
Without naming the company, this is disappointing. Company's webpage:"We are committed to disclosing the results of clinical trials on all applicable registries in accordance with applicable law." + "This clinical trial is now complete. When available, results will be posted on ClinicalTrials.gov."
Is there something more clever than what the directlabels R package offers? The style of plot like in this hypothetical example (where geom_dl(method="smart.grid") worked well) is so useful. Yet, all too often it struggles to place labels well & I end up using geom_text manually.
November 26, 2024 at 8:54 PM
Is there something more clever than what the directlabels R package offers? The style of plot like in this hypothetical example (where geom_dl(method="smart.grid") worked well) is so useful. Yet, all too often it struggles to place labels well & I end up using geom_text manually.