Calibrate Jev questions against your own labels: tune criteria on labelled examples, confirm on a held-out set, get a verdict per question. Unofficial.
-
Updated
Oct 13, 2026 - TypeScript
#
holdout
Here are 17 public repositories matching this topic...
This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.
data-science random-forest naive-bayes machine-learning-algorithms cross-validation classification gaussian-mixture-models support-vector-machine confusion-matrix decision-tree linear-discriminant-analysis holdout ensemble-classifier leave-one-out-cross-validation k-nearest-neighbor
-
Updated
Jan 10, 2021 - MATLAB
playing with Dwork's adaptive holdout and how to use it for a grid-search
-
Updated
Feb 22, 2018 - Jupyter Notebook
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
matlab logistic-regression ridge-regression keras-models kmeans-clustering multilayer-perceptron-network radial-basis-function extreme-learning-machine stochastic-gradient-descent maximum-likelihood-estimation maximum-a-posteriori-estimation iris-dataset cnn-architecture holdout likelihood-ratio-test kfold-cross-validation xor-neural-network stacked-autoencoder and-gate-implementation sklearn-metrics
-
Updated
Nov 20, 2022 - Jupyter Notebook
This toolbox offers 6 machine learning methods including KNN, SVM, LDA, DT, and etc., which are simpler and easy to implement.
data-science data-mining random-forest naive-bayes classification confusion-matrix support-vector-machines decision-tree linear-discriminant-analysis holdout leave-one-out-cross-validation k-nearest-neighbors k-fold-cross-validation
-
Updated
Jan 10, 2021 - Python
Practice of Linear Regression
linear-regression linear-equations platform-independent ridge-regression holdout linear-system system-of-linear-equations
-
Updated
Mar 7, 2021 - C++
This toolbox offers 7 machine learning methods for regression problems.
machine-learning neural-network linear-regression regression ridge-regression elastic-net lasso-regression holdout support-vector-regression decision-tree-regression leave-one-out-cross-validation k-fold-cross-validation
-
Updated
Jan 10, 2021 - Python
opencv numpy sklearn pandas matplotlib mlp svm-model quadratic-discriminant-analysis classification-algorithm lbp holdout knn-classification
-
Updated
Mar 6, 2021 - Jupyter Notebook
Your AI “improved.” Did it get smarter—or memorize the test? Find out before you trust the score.
python testing evaluation developer-tools regression-testing contamination ai-agents holdout llm coding-agents claude-code benchmark-integrity
-
Updated
Sep 18, 2026 - Python
A dependency-free pattern for preserving learning, calibration, and sealed evaluation boundaries over scarce corpora.
-
Updated
Oct 2, 2026 - Python
This dataset was used to learn more about how some machine learning models work: KNN, Naive Bayes, and Decision Tree. It also includes some model evaluation metrics: Precision, Recall, Accuracy, and F1-Score. These metrics were derived from the confusion matrix.
python numpy seaborn naive-bayes-classifier confusion-matrix decision-trees oversampling holdout pandas-library knn-algorithm accuracy-score standardscaler
-
Updated
Oct 28, 2023 - Jupyter Notebook
Practice of Natural Language Processing
-
Updated
Mar 23, 2021 - C++
Offline holdout exposure scanning with private forensic reports and controlled Ed25519 attestations.
security benchmark typescript ci evaluation ed25519 attestation ai-safety holdout mlops data-leakage local-first
-
Updated
Jul 16, 2026 - TypeScript
The held-out validation set for voice-agent-eval-harness: six hand-authored transcripts, their ground-truth labels, and the judged run they were opened against. A separate repository, so holding the set out is a mechanism rather than a promise, with every sealed digest recomputable from the published files.
python dataset reproducibility ground-truth holdout conversational-ai test-corpus rubric data-leakage pre-registration validation-set llm-evaluation voice-agents llm-as-a-judge
-
Updated
Sep 23, 2026 - Python
churn prediction for telecom company
visualization svm naive-bayes eda neural-networks aggregation boosting-algorithms grid-search boostrap decision-tree hyperparameter-tuning holdout replacement crossvalidation bagging-ensemble
-
Updated
Feb 27, 2021 - Jupyter Notebook
Browser calculator for mobile UA holdout tests: size a test, read lift with a p-value and Bayesian P(better), compare naive vs incremental ROAS, and blend conflicting ROAS sources.
calculator gamedev statistics attribution monte-carlo ab-testing bayesian measurement ua sample-size holdout marketing-analytics free-to-play performance-marketing user-acquisition roas mobile-games incrementality iroas lift-test
-
Updated
Oct 15, 2026 - HTML
Add this topic to your repo
To associate your repository with the holdout topic, visit your repo's landing page and select "manage topics."