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URL: https://github.com/topics/recall-precision

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recall-precision

Here are 31 public repositories matching this topic...

Saket-Kr / ML-Prep

A repo holding the implementation as well as some theoretical explanation of the important relevant concepts. It is going to be in development for a long long time. I'll keep adding things everytime I have something to add to it, and I have the time for it. One can use it to learn the basics of Machine Learning from kind of scratch.

linear-regression regression linear reinforcement-learning-algorithms recall logistic-regression variance gradient-descent learning-algorithms bias mini-batch supervised-machine-learning unsupervised-machine-learning logistic-regression-algorithm bias-variance-trade recall-precision

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Yusuf-Abol / NEOCLARA-II

This project focuses on evaluating different classification models for detecting and analyzing the risk of near-Earth objects (NEOs). The models are assessed using key metrics such as Confusion Matrix, Recall, AUC-ROC, and PR-AUC to understand their performance in distinguishing between the two classes (risky vs. non-risky NEOs).

astronomy metrics machine-learning-algorithms asteroids classification performance-analysis confusion-matrix neos datascience-machinelearning recall-precision

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Radhikareddy-chintareddy / Financial_Risk_Analysis_Machine_Learning

machine learning techniques to predict company defaults by optimizing the trade-off between recall (minimizing false negatives) and precision (avoiding false positives). Logistic Regression and Random Forest models were trained, with emphasis on recall to ensure accurate identification of high-risk companies.

random-forest logistic-regression hyperparameter-tuning smote machinelearning-python recall-precision modelevaluation

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sharmasapna / credit-card-fraud-detection

Code to detect credit card fraud detecton

random-forest dnn xgboost accuracy logistic-regression outlier-detection decision-trees autoencoders credit-cards k-means-clustering isolation-forest tsne-plot fraudulent-transactions recall-precision tsne-visualization smote-sampling random-over-sampling random-under-sampling fraud-transactions transaction-numbers

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NagrajMG / No-More-Circles-Escaping-the-VSM-loop

Search Engine based on Cranfield dataset

information-retrieval wordnet hypothesis-testing kmeans-clustering spellchecker latent-semantic-analysis paired-t-test trie-data-structure recall-precision

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rakibhhridoy / SupportVectorMachineIn-Medical

Support vector machine in medical disease detection. Both linear and non-linear data can be fitted in svm through its kernel specialization In medical we focus on precision or recall rather than accuracy.

machine-learning svm scikit-learn medical support-vector-machines precision-medicine diabetes-prediction recall-precision

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SSGrasland / SyriaTel-Customer-Churn-Rate

Classification machine learning models were trained and used to identify what features contributed to customer churn rate.

machine-learning random-forest xgboost xgboost-classifier recall-precision

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LailaMahmoudi / mnist-classification

MNIST Handwritten Digits Classification

random-forest numpy machine-learning-algorithms split cross-validation pandas data-visualization classification mnist-classification matplotlib predictions mnist-image-dataset f1-score mnist-handwriting-recognition sgd-classifier sklearn-library binary-classifier recall-precision

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AmirMotefaker / Analysis-of-Hotel-Customer-Sentiments

Sentiment analysis is part of the NLP techniques that consists in extracting emotions related to some raw texts.

random-forest sklearn pandas seaborn nltk gensim matplotlib roc-curve vader-sentiment-analysis random-forest-classifier gensim-doc2vec pr-curve recall-precision

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👁 LuceneCISI

Berozain / LuceneCISI

Information Retrieval with Lucene and CISI dataset. Index documents and search between them with IB, DFR, BM-25, TF-IDF, Boolean, Axiomatic, LM-Dirichlet similarity and calculate Recall, Precision, MAP (Mean Average Precision) and F-Measure

information-retrieval recall lucene tf-idf precision ib bm-25 axiomatics mean-average-precision f-measure dfr recall-precision cisi lm-dirichlet

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Java

gunjitsinha / machine-failure-prediction

Three classification models trained to predict failures of machines on the production line.

random-forest scikit-learn classification lightgbm logistic-regression f1-score recall-precision stratified-cross-validation standard-scaler pr-auc

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anushkundu / Churn-Prediction

Telecom Customer Churn Prediction Using Machine Learning!

data-science machine-learning deep-learning data-analysis logistic-regression gradient-boosting-classifier svm-classifier keras-tensorflow classification-report classification-algorithm random-forest-classifier accuracy-score recall-precision smote-sampling roc-auc-score

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armahdavi / nlp_document_tracking_construction_management

Summary of NLP work to automate construction management for non-compliance, punch list, and database creation.

nlp word2vec sklearn nlp-machine-learning bert bidirectional-lstm glove-vectors construction-management tf-idf-vectorizer recall-precision distill-bert

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mehvishsheikh31 / stroke-prediction

End-to-end ML pipeline for stroke risk prediction with XGBoost, FastAPI API, and Streamlit dashboard — designed to handle severe class imbalance and maximize recall.

python docker machine-learning algorithms healthcare xgboost disease-prediction fastapi streamlit recall-precision stroke-prediction classimbalance

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Python

armahdavi / AI_ML_assisted_breast_cancer_tumor_detection

Consolidating tutorial codes for breast cancer tumor detection, covering ML fundamentals like classification, feature engineering, training, evaluation, and key performance metrics.

python machine-learning random-forest numpy sklearn machine-learning-algorithms pandas logistic-regression feature-engineering bias-variance medical-application xgboost-classifier recall-precision

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vicaaa12 / machine-learning

machine learning

python machine-learning performance-metrics performance-analysis alpha confusion-matrix regression-models alpha-beta-pruning hyperparameter-tuning decision-tree-classifier normalization decision-tree-model features-extraction feature-visualization gini-impurity recall-precision gini-importance performance-improvements gridsearch-tuning explotary-data-analysis

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Abdelrahman13-coder / Supervised-Machine-Learning

f1-score recall-precision

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Not-Minimal / DeepLabScan

Proyecto de detección de objetos con YOLO, datos de Roboflow y registro automático en Excel.

map detection yolo recall recall-precision ultralytics yolov11

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Python

SharanKalyan / Spaceship-Titanic-Kaggle

This project tackles the Kaggle Spaceship Titanic challenge, a sci-fi–themed classification task where the goal is to predict whether passengers were transported to another dimension after a catastrophic event. Using real-world ML workflows, the project walks through data cleaning, feature engineering, model training, and evaluation.

kaggle-competition classification titanic spaceship f1-score recall-precision

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Abdullah2020 / Hamoye_StageC

This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.

machine-learning xgboost logistic-regression confusion-matrix f1-score random-forest-classifier classification-model accuracy-score recall-precision extratreesclassifier lgbmclassifier

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