threshold-tuning

Star

Here are 43 public repositories matching this topic...

Language: All

Filter by language

All 43 Jupyter Notebook 29 Python 10 HTML 1

Sort: Most stars

Sort options

Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

AmirhosseinHonardoust / KPI-Trap-Lab

Star 9

A hands-on lab showing how "improving" a single metric (AUC/accuracy/F1) can worsen real-world outcomes. Includes metric audits, slice checks, cost-sensitive evaluation, threshold tuning, and decision policies you can defend, so dashboards don’t quietly ship bad decisions.

data-science machine-learning metrics decision-making calibration kpi classification data-analysis confusion-matrix model-evaluation interpretability roc-auc precision-recall mlops cost-sensitive-learning model-monitoring business-metrics tradeoffs threshold-tuning model-risk

Updated Apr 26, 2026

tarekmasryo / advanced-ml-sentiment-lab

Sponsor

Star 8

Advanced Streamlit + Plotly sentiment analysis lab for TF-IDF word/char features, multi-model training, ROC/PR-AUC evaluation, cost-aware threshold tuning, error analysis, and live prediction.

python nlp machine-learning ai sentiment-analysis text-classification scikit-learn plotly tfidf model-evaluation error-analysis streamlit streamlit-dashboard threshold-tuning ml-dashboard

Updated Jun 1, 2026
Python

tarekmasryo / text-sentiment-analysis

Sponsor

Star 6

IMDB sentiment classification with TF-IDF pipelines, validation-based evaluation, error analysis, and reusable artifacts.

nlp sentiment-analysis text-classification scikit-learn tfidf imdb-reviews threshold-tuning

Updated Apr 26, 2026
Jupyter Notebook

tarekmasryo / sms-spam-detection

Sponsor

Star 5

SMS spam detection pipeline: dual TF-IDF (word+char) → calibrated Linear SVM, nested CV + threshold tuning (F1) + explainability + robustness tests.

nlp text-classification scikit-learn tfidf sms-spam-detection linear-svm threshold-tuning

Updated Apr 30, 2026
Jupyter Notebook

tarekmasryo / fraud-risk-ops-platform

Sponsor

Star 5

Production-structured fraud risk operations platform with FastAPI, Streamlit, policy-driven decisions, audit logging, batch jobs, and monitoring hooks.

python docker redis machine-learning ai dashboard sqlite scikit-learn plotly fraud-detection policy-engine probability-calibration model-serving audit-logging fastapi risk-scoring streamlit streamlit-dashboard fastapi-docker threshold-tuning

Updated Jun 24, 2026
Python

Arash-ra03 / Emotion-Recognition-Using-DistilBERT

Star 3

Multi-label emotion recognition from text using fine-tuned DistilBERT, an MLP classifier, threshold tuning, and a Streamlit demo.

nlp machine-learning natural-language-processing deep-learning sentiment-analysis text-classification transformers pytorch mlp text-analytics multi-label-classification bert emotion-recognition huggingface streamlit distilbert threshold-tuning

Updated May 9, 2026
Jupyter Notebook

tarekmasryo / predicting-wellbeing-risk

Sponsor

Star 2

Digital habits → wellbeing risk (binary): calibrated risk scoring + cost-aware thresholding with deployable artifacts (LogReg/RF/XGBoost).

kaggle calibration xgboost mental-health threshold-tuning digital-behavior wellbeing-risk

Updated May 2, 2026
Jupyter Notebook

tarekmasryo / hospital-deterioration-next-12h-early-warning-baseline

Sponsor

Star 2

12h clinical deterioration early-warning baseline: tabular models (LogReg / HistGradientBoosting / optional XGBoost), simple probability ensemble, and cost-based threshold/policy tables exported for dashboards.

scikit-learn xgboost imbalanced-classification healthcare-ml threshold-tuning early-warning patient-deterioration

Updated Apr 30, 2026
Jupyter Notebook

tarekmasryo / global-blood-donation-registry

Sponsor

Star 2

Decision-grade donor outreach policy: calibrated P(donated_next_6m) scoring + budgeted Top-K actions + net-benefit optimal threshold, with exported deployable artifacts.

scikit-learn blood-donation probability-calibration cost-sensitive-learning threshold-tuning donor-outreach decision-policy

Updated Apr 30, 2026
Jupyter Notebook

sirmonsoon / fraud-detection-ml

Star 1

Machine learning fraud detection system using tabular transaction data. Explores class imbalance, precision-recall tradeoffs, and threshold tuning to optimize real-world performance.

python data-science machine-learning scikit-learn jupyter-notebook tabular-data pandas supervised-learning classification matplotlib imbalanced-data model-evaluation fraud-detection precision-recall threshold-tuning

Updated Mar 30, 2026
Jupyter Notebook

mahdidadgar-data / customer-churn-prediction-retention-strategy

Star 1

Machine learning project to predict customer churn and support retention strategy using threshold tuning, profit simulation, and model interpretation.

python data-science machine-learning random-forest scikit-learn classification logistic-regression model-interpretation business-analytics customer-churn threshold-tuning retention-strategy telecom-analytics

Updated Jun 9, 2026
Jupyter Notebook

ussamaRehman / heart-disease-predictor

Star 1

End-to-end ML pipeline for UCI Heart Disease classification. Includes leak-safe preprocessing, baseline + Random Forest + HistGradientBoosting, val-tuned thresholds, and CI that generates a downloadable reports artifact. Best model (HGB) hits F1=0.872, Acc=0.891 on the held-out test set

machine-learning scikit-learn classification model-evaluation precision-recall mlops github-actions uci-dataset threshold-tuning

Updated Dec 30, 2025
Python

Ganaa088 / fraud-detection

Star 1

Fraud detection pipeline with Logistic Regression, Random Forest, and SMOTE — tuned for business trade-offs, evaluated with PR-AUC, precision, and recall.

python data-science machine-learning random-forest pandas data-analysis fraud-detection threshold-tuning

Updated Sep 6, 2025
Jupyter Notebook

Laplace-tech / CheXpert

Star 1

CheXpert-based chest X-ray multi-label classification PoC with DenseNet121, AUROC/AUPRC evaluation, threshold tuning, and Grad-CAM visualization.

deep-learning grad-cam medical-imaging multi-label-classification explainable-ai chest-xrays auprc pythorch densenet121 auroc threshold-tuning

Updated Jun 12, 2026
Python

msaad-dot / fraud-detection-ml

Star 1

End-to-end fraud detection pipeline with imbalanced data, probability-based evaluation, threshold tuning, and business-driven model selection using Logistic Regression, Random Forest, and XGBoost.

data-science machine-learning scikit-learn credit-card-fraud xgboost binary-classification imbalanced-data model-evaluation fraud-detection threshold-tuning

Updated Apr 8, 2026
Jupyter Notebook

mahdidadgar-data / hospital-readmission-prediction

Star 1

Machine learning project to predict 30-day hospital readmission risk using healthcare data, class imbalance handling, threshold tuning, and patient-safety-oriented evaluation.

python data-science machine-learning random-forest scikit-learn classification logistic-regression class-imbalance model-interpretation business-analytics responsible-ai hospital-readmission healthcare-analytics threshold-tuning patient-risk-prediction

Updated Jun 10, 2026
Jupyter Notebook

bilalnaqvi7 / Credit-card-Fraud-Detection

Star 0

Worked on a Fraud detection supervised machine learning case study and built a fraud detection end-to-end model along with a risk framework thhrough root cause analysis and cost-benefit threshold tuning to improve fraud identification and decisioning.

jupyter-notebook python3 binary-classification imbalanced-data supervised-machine-learning roc-auc precision-recall risk-analytics threshold-tuning