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Jul 8, 2023 - Jupyter Notebook
#
roc-curve
Here are 232 public repositories matching this topic...
Classification Model (End to End Classification of Heart Disease - UCI Data Set)
heatmap exploratory-data-analysis eda data-visualization classification accuracy auc recall logistic-regression score roc-curve knn precision evaluation-metrics model-evaluation f1-score gridsearchcv heartdisease randomizedsearchcv randomforestclassifier
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Jun 10, 2020 - Jupyter Notebook
A note on the Equal Error Rate metric
authentication biometrics convex-hull face-recognition minimax roc-curve speaker-recognition binary-classification imbalanced-data cost-sensitive fingerprint-recognition anti-spoofing equal-error-rate classification-metrics calibrated-predictions bayes-error bayes-optimal-classifier detection-error-tradeoff det-curve sion-theorem
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Jun 9, 2025 - Jupyter Notebook
Performance Evaluation of Supervised Machine Learning Algorithms for Intrusion Detection
random-forest intrusion-detection logistic-regression preprocessing roc-curve multilayer-perceptron-network gradient-boosting calibration-curve nsl-kdd-dataset gaussian-naive-bayes
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Jun 4, 2020 - Jupyter Notebook
Análisis predictivo de trasplante de médula ósea en pacientes pediátricos utilizando modelos de regresión logística y random forest. Incluye análisis y visualizaciones de datos clínicos para predecir la recaída post-trasplante.
data-science machine-learning r random-forest rmarkdown logistic-regression data-preprocessing predictive-modeling roc-curve regression-analysis feature-importance healthcare-analytics
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Sep 2, 2024
This project demonstrates how to build a logistic regression model and understanding the evaluation metrics to determine if the model is performing well or not
logistic-regression confusion-matrix roc-curve precision accuracy-metrics recall-metrics cross-valids
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Jan 14, 2023 - Jupyter Notebook
Fingerprint recognition system using Euclidean distance and OpenCV for biometric matching with dynamic thresholding
python opencv security authentication threshold fingerprint mean dataset biometrics roc-curve standard-deviation biometric-identification biometric-authentication socofing
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Sep 25, 2024 - Python
Creating ROC graph for every target on data
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Apr 12, 2022 - Python
End-to-end SaaS churn risk modeling and revenue exposure analytics pipeline (PostgreSQL + Python + Tableau).
machine-learning scikit-learn postgresql saas business-intelligence data-analytics tableau feature-engineering roc-curve product-analytics churn-analysis medallion-architecture
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Feb 20, 2026 - Jupyter Notebook
Analyse the factors that lead to employee attrition at IBM.
machine-learning random-forest machine-learning-algorithms supervised-learning confusion-matrix boosting-algorithms roc-curve decision-tree decision-tree-classifier smote supervised-machine-learning random-forest-classifier classification-model gridsearchcv label-encoding boosted-classification
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Oct 27, 2019 - Jupyter Notebook
What makes fine wine? The main goal of this investigation is to examine which physicochemical features of wine provide the most information about its quality.
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Jul 12, 2022
The primary goal of this project is to develop a comprehensive fraud detection system that enhances the security and trustworthiness of financial transactions.
python data-science machine-learning scikit-learn data-visualization credit-card-fraud pca-analysis pca classification logistic-regression outlier-detection data-preprocessing roc-curve imbalanced-data fraud-detection anomaly-detection
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Sep 9, 2025 - Python
This project aim to predict the possibility of a hotel customer to cancel a booking he/she has made. I was using booking data from a hotel in Portugal that is used to take insight and design a simple machine learning model.
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Jun 29, 2020 - Jupyter Notebook
Predicting success of Bank Telemarketing Calls: Implementing and Comparing various ML classification algorithms
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Nov 17, 2019 - Jupyter Notebook
Fundamental ML Algorithms in Python
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Mar 6, 2023 - Python
R-based mental-health analytics project featuring data prep, exploratory analysis, GLM/decision-tree models, and ROC/AUC evaluation in a reproducible workflow.
machine-learning r vscode conda data-visualization public-health rstats data-analysis glm data-preprocessing feature-engineering mental-health predictive-analytics roc-curve decision-tree statistical-modeling wsl2 reproductive-research
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Dec 1, 2025 - R
Сегментация КТ-снимков лёгких для выявления поражения тканей от COVID-19 на основе глубоких свёрточных нейронных сетей
python neural-network numpy sklearn pytorch healthcare matplotlib roc-curve computer-tomograpy unet-image-segmentation torchvision unet-plusplus tversky-loss
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Jan 13, 2022 - Jupyter Notebook
My repository of Machine Learning by UFMG
data-science machine-learning machine-learning-algorithms classification roc-curve roc-auc shap hepatitis-prediction
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Jul 26, 2022 - Jupyter Notebook
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