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classification-metrics

Here are 14 public repositories matching this topic...

NannyML / The-Little-Book-of-ML-Metrics

The book every data scientist needs on their desk.

python data-science machine-learning book clustering-metrics ranking-metrics machine-learning-metrics computer-vision-metrics regression-metrics classification-metrics nlp-metrics machine-learning-evaluation

Updated Mar 4, 2025
Jupyter Notebook

Mr-TalhaIlyas / Evaluation-Metrics-Package-Tensorflow-PyTorch-Keras

ML/CNN Evaluation Metrics Package

curve confusion-matrix roc-curve precision-recall-curve dice-coefficient precision-recall average-precision f-measure object-detection-metrics classification-accuracy segmentaion-metrics classification-metrics

Updated Aug 3, 2022

thecocolab / data-imbalance

Evaluating the effect of data balance on different classification metrics

machine-learning classification classification-metrics

Updated Jun 5, 2023
Jupyter Notebook

sholokhovalexey / equal-error-rate

Thehunk1206 / Classical-ML-Algorithms

Collection of some classical Machine learning Algorithms.

Updated Jan 13, 2022
Jupyter Notebook

barzansaeedpour / binary-classification-metrics

This repository provides essential tools and metrics for evaluating binary classification models, aiding researchers and data scientists in their model assessment

accuracy recall precision fraud-detection f1-score classification-metrics logestic-regression binary-classification-evaluation

Updated Feb 27, 2024
Jupyter Notebook

Jakub-Espandr / MetriCalc

A modern, cross-platform desktop app for calculating classification metrics from confusion matrices. Includes XLSX export, real-time language switching, and batch processing with responsive UI.

python arcgis confusion-matrix classification-metrics flycamczech

Updated Jul 7, 2025
Python

ajitsingh98 / Evaluation-Metrics-In-Machine-Learning-Problems-Python

evaluation metrics implementation in Python from scratch

machine-learning performance-metrics python-implementation performance-evaluation f1-score accuracy-score clustering-metrics regression-metrics classification-metrics

Updated Feb 24, 2024
Jupyter Notebook

AhmetZamanis / UsedCarKicksClassification

Imbalanced classification with scikit-learn and PyTorch Lightning.

Updated Jul 10, 2023
Python

niaj-a / Machine-Learning

Your all-in-one Machine Learning resource – from scratch implementations to ensemble learning and real-world model tuning. This repository is a complete collection of 25+ essential ML algorithms written in clean, beginner-friendly Jupyter Notebooks. Each algorithm is explained with intuitive theory, visualizations, and hands-on implementation.

machine-learning simple machine-learning-algorithms polynomial-regression gradient-descent-algorithm stochastic-gradient-descent classification-algorithm batch-gradient-descent mini-batch-gradient-descent regression-algorithms simple-linear-regression lasso-regression-model lasso-regularization ridge-regression-model multiple-linear-regression-model regularization-techniques regression-metrics classification-metrics ridge-regularization

Updated Jul 22, 2025
Jupyter Notebook

s0nya21 / Loan-Approval-Prediction

When it comes to deciding whether the applicant’s profile is relevant to be granted with loan or not,banks have to look after many aspects. Predicting loan approval is a common application of machine learning in the financial industry.

visualization exploratory-data-analysis jupyter-notebook pandas python3 classification logistic-regression data-preprocessing hyperparameter-tuning model-building random-forest-classifier svc-model matplotlib-pyplot seaborn-plots plotly-express xgboost-classifier loanprediction classification-metrics loanapproval

Updated Nov 7, 2023
Jupyter Notebook

AmbreenMahhoor / Classification-Metrics

accuracy recall precision f1-score classification-metrics binary-classification-metrics multi-classification-metrics confusion-metrix accuracy-and-confusion-metrix

Updated Aug 6, 2024
Jupyter Notebook

Hands-On-Fraud-Analytics / Chapter-18-Classification-Techniques-For-Fraud-Detection

Classification-Techniques-For-Fraud-Detection

machine-learning parameters model pandas-dataframe lab classification hyperparameters-optimization optimization-algorithms fraud-detection receiver-operating-characteristic classification-model non-convex-optimization seaborn-plots autogluon classification-metrics

Updated Dec 12, 2023
Jupyter Notebook

AshiniAnantharaman / Bank_Customer_Churn_Prediction

This project is used to predict the customer churn based on various features using an artificial neural network

tensorflow numpy exploratory-data-analysis keras pandas artificial-neural-networks confusion-matrix classification-metrics

Updated May 19, 2022
Jupyter Notebook

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