#CrossValidation
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teeeeeeeee.bsky.social
`crossvalidation` on R-universe, plus a classification example
https://thierrymoudiki.github.io/blog/2021/07/23/r/crossvalidation-r-universe

#Python #DataScience #MachineLearning #rstats #Techtonique
September 25, 2026 at 7:43 PM
teeeeeeeee.bsky.social
parallel grid search cross-validation using `crossvalidation`
https://thierrymoudiki.github.io/blog/2021/07/31/r/parallel-crossvalidation

#Python #DataScience #MachineLearning #rstats #Techtonique
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September 14, 2026 at 8:03 PM
teeeeeeeee.bsky.social
`crossvalidation` and random search for calibrating support vector machines
https://thierrymoudiki.github.io/blog/2021/08/06/r/crossvalidation-svm-r

#Python #DataScience #MachineLearning #rstats #Techtonique
September 4, 2026 at 11:53 PM
sentinel-auto.bsky.social
💡 Cross-Validation From Scratch and a Surprise at n=100
Groq was unavailable, so this is a static fallback with no LLM-generated stance
🔗 https://www.kenkoonwong.com/blog/crossvalidation/
Cross-Validation From Scratch and a Surprise at n=100
August 17, 2026 at 5:55 PM
sentinel-auto.bsky.social
💡 Cross-Validation From Scratch and a Surprise at n=100
Groq was unavailable, so this is a static fallback with no LLM-generated stance
🔗 https://www.kenkoonwong.com/blog/crossvalidation/
Cross-Validation From Scratch and a Surprise at n=100
August 17, 2026 at 5:02 PM
hnbot.gsuscs.xyz
Cross-Validation From Scratch and a Surprise at n=100

https://www.kenkoonwong.com/blog/crossvalidation/
August 17, 2026 at 5:00 PM
teeeeeeeee.bsky.social
Time series cross-validation using `crossvalidation` (Part 2)
https://thierrymoudiki.github.io/blog/2021/11/07/r/misc/timeseries/crossvalidation-eval-ts

#Python #DataScience #MachineLearning #rstats #Techtonique
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August 16, 2026 at 8:18 AM
teeeeeeeee.bsky.social
Comparing cross-validation results using crossval_ml and boxplots
https://thierrymoudiki.github.io/blog/2023/08/27/r/misc/crossvalidation-boxplots

#Python #DataScience #MachineLearning #rstats #Techtonique
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August 2, 2026 at 1:25 PM
teeeeeeeee.bsky.social
`crossvalidation` and random search for calibrating support vector machines
https://thierrymoudiki.github.io/blog/2021/08/06/r/crossvalidation-svm-r

#Python #DataScience #MachineLearning #rstats #Techtonique
July 16, 2026 at 11:03 PM
teeeeeeeee.bsky.social
Comparing cross-validation results using crossval_ml and boxplots
https://thierrymoudiki.github.io/blog/2023/08/27/r/misc/crossvalidation-boxplots

#Python #DataScience #MachineLearning #rstats #Techtonique
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July 4, 2026 at 6:32 PM
kroyindia.bsky.social
On a strategy of selecting the best machine-learning-based regression models from several competing models using cross-validation and (internal) validation set performance
doi.org/10.26434/che...
#MachineLearning #QSAR #Validation #CrossValidation #ExternalSet #Prediction #Metrics #Cheminformatics
June 16, 2026 at 8:34 AM
markhisted.org
And I do appreciate the value of data & quantitation. Much of my neuro work has been quantitative (GLMs to mixed models, assessing model quality via analytical stats or crossvalidation, network sims, using stats models of calcium dynamics…)

Data has a role. But human judgement matters too.
June 15, 2026 at 1:51 AM
kordinglab.bsky.social
Statistically crossvalidation folds are not independent. The number of papers treating them as if they were is off the charts.
bttyeo.bsky.social Thomas Yeo @bttyeo.bsky.social · May 21
In a meta-analysis of 210 biomedical AI studies that statistically compared models under cross-validation, 97% used invalid statistical tests.

Here's our new preprint doi.org/10.64898/202... led by @tianchu.bsky.social @hetuli.bsky.social @shaoshiz.bsky.social @nichols.bsky.social 1/N
May 21, 2026 at 1:11 PM
byrdnick.com
Are #relationship rules (such as a 5:1 ratio of positive:negative #feedback) really predictive?

Not always.

Gottman et al's alleged predictors of #divorce often fail to predict:
😬 just 21% true positives? doi.org/10.1111/j.17...
☹️ failed replication? doi.org/10.1111/j.17...
Compared to "Gottman et al. (1998) and the other divorce prediction studies summarized earlier", "The analyses presented here included many predictor variables that can be measured with little error (e.g., education) and both our development and crossvalidation samples were randomly drawn from a single, representative data set. Both of these characteristics should enhance the robustness of the prediction equation. Yet, the accuracy of the equation still dropped markedly when applied to an independent subsample (and even further when the actual population baserate of early divorce was taken into account). An equation with an initial overall accuracy of 90% ended up with a positive predictive value of 21%." "We predicted that ...a higher ratio of positive to negative affect [at T1] would predict the couple remaining intact ...at T2 (Hypothesis b). Findings from the logistic regression analyses (Table 4), however, indicated that neither the total amount of positive affect nor the ratio of positive to negative affect for either men or women were significantly related to the relationship remaining intact."
May 21, 2026 at 11:03 AM
teeeeeeeee.bsky.social
Probabilistic Time Series Cross-Validation with R package "crossvalidation"

thierrymoudiki.github.io/blog/2026/05...

#rstats
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lnkd.in
May 19, 2026 at 1:47 AM
hoffdesk.com
🦞 Trusting LLMs When You’re Out of Your Depth

https://hoffdesk.com/blog/trusting-llms-when-out-of-depth/

#OpenClaw #AgenticAI #Ai #Crossvalidation #Hoffdesk #Llm
🦞 Trusting LLMs When You’re Out of Your Depth
#OpenClaw #AgenticAI #Ai #Crossvalidation #Hoffdesk #Llm
hoffdesk.com
May 18, 2026 at 8:06 PM
rhiya.bsky.social
i was told i was this horse when the game was jp-only, so i guess that's some crossvalidation
March 30, 2026 at 1:34 AM
teeeeeeeee.bsky.social
Time series cross-validation using `crossvalidation` (Part 2)

https://thierrymoudiki.github.io/blog/2021/11/07/r/misc/timeseries/crossvalidation-eval-ts

#Techtonique #DataScience #Python #rstats #MachineLearning
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March 12, 2026 at 6:10 PM
teeeeeeeee.bsky.social
`crossvalidation` on R-universe, plus a classification example

https://thierrymoudiki.github.io/blog/2021/07/23/r/crossvalidation-r-universe

#Techtonique #DataScience #Python #rstats #MachineLearning
February 28, 2026 at 5:59 PM
teeeeeeeee.bsky.social
Comparing cross-validation results using crossval_ml and boxplots

https://thierrymoudiki.github.io/blog/2023/08/27/r/misc/crossvalidation-boxplots

#Techtonique #DataScience #Python #rstats #MachineLearning
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February 26, 2026 at 7:13 PM
teeeeeeeee.bsky.social
`crossvalidation` and random search for calibrating support vector machines

https://thierrymoudiki.github.io/blog/2021/08/06/r/crossvalidation-svm-r

#Techtonique #DataScience #Python #rstats #MachineLearning
December 3, 2025 at 3:22 PM
teeeeeeeee.bsky.social
Time series cross-validation using `crossvalidation` (Part 2)

https://thierrymoudiki.github.io/blog/2021/11/07/r/misc/timeseries/crossvalidation-eval-ts

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 30, 2025 at 2:32 PM
teeeeeeeee.bsky.social
Time series cross-validation using `crossvalidation` (Part 2)

https://thierrymoudiki.github.io/blog/2021/11/07/r/misc/timeseries/crossvalidation-eval-ts

#Techtonique #DataScience #Python #rstats #MachineLearning
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November 28, 2025 at 8:15 AM
teeeeeeeee.bsky.social
`crossvalidation` and random search for calibrating support vector machines

https://thierrymoudiki.github.io/blog/2021/08/06/r/crossvalidation-svm-r

#Techtonique #DataScience #Python #rstats #MachineLearning
November 24, 2025 at 2:40 PM
teeeeeeeee.bsky.social
`crossvalidation` and random search for calibrating support vector machines

https://thierrymoudiki.github.io/blog/2021/08/06/r/crossvalidation-svm-r

#Techtonique #DataScience #Python #rstats #MachineLearning
November 21, 2025 at 6:37 PM