#

precision-recall

Here are 52 public repositories matching this topic...

DIAGNijmegen / picai_eval

Evaluation of 3D detection and diagnosis performance —geared towards prostate cancer detection in MRI.

metrics detection evaluation roc diagnosis precision-recall froc

Updated May 6, 2024
Python

ml-predictive-maintenance

riccardoprosdocimi / ml-predictive-maintenance

This repository contains code and documentation for a machine learning project focused on predictive maintenance in industrial machinery. The project explores the development of a comprehensive predictive maintenance system using various machine learning techniques.

Updated May 2, 2024
Jupyter Notebook

avid7-tech / Predicting-stars-galaxies-and-quasars-using-ML-algorithms

This repository contains code for classifying galaxies into three classes: Galaxy, Quasar, and Star, using machine learning techniques. The dataset used in this project is the Sloan Digital Sky Survey (SDSS) dataset.

python numpy scikit-learn machine-learning-algorithms data-visualization seaborn logistic-regression decision-tree-classifier knn-classifier pandas-python precision-recall accuracy-metrics

Updated Apr 26, 2024
Jupyter Notebook

Aalaa4444 / Garbage_Classification

CNN model to classify garbage

image svm genetic-algorithm image-processing feature-selection feature-extraction confusion-matrix pretrained-models cnn-model svm-classifier classification-report mobilenet xception-model cnn-classification precision-recall mobilenet-model mobilenet-v3 image-data-generator genetic-algorithm-from-scratch

Updated Apr 5, 2024
Jupyter Notebook

IgorAugust0 / information-retrievel

Information Retrieval models implemented in Python

python information-retrieval nltk vector-space-model matplotlib boolean-model precision-recall

Updated Jan 12, 2024
Python

sajidahmed12 / YOLOv5-precision-recall-f1-score

object-detection precision-recall yolov5 f1-scores yolov8 yolo-nas

Updated Jan 9, 2024
Python

Ashwin0229 / Collaborative-Filtering-K-nearest-neighbors-and-SVM

Using Collaborative Filtering predicting Movie Rating and K-nearest Neighbours & SVM algorithms for Number ClassificationNumber Classification

machine-learning-algorithms python3 collaborative-filtering support-vector-machine svc f1-score gridsearchcv mean-square-error sklearn-library precision-recall mean-absolute-error k-nearest-neighbor-classifier linearsvc-model

Updated Jan 2, 2024
Python

VivekSagarSingh / Probability-of-Credit-card-Default

Classification problem using multiple ML Algorithms

numpy heatmap logistic-regression confusion-matrix statsmodels gradient-boosting-classifier multicollinearity smote iqr random-forest-classifier ada-boost-classifier gridsearchcv pandas-python precision-recall bagging-ensemble roc-auc-curve variance-inflation-factor linear-discriminant-analysis-classifier

Updated Jan 1, 2024
Jupyter Notebook

kamatameya9 / Information-Retrieval-Assignment-2

Built a simple search system using Lucene. Indexed 100 text documents using the bbc-news sports dataset. Showed the impact of indexing the data well on precision and recall. Have included the queries used to arrive at the precision and recall.

indexing lucene precision-recall

Updated Dec 29, 2023

rafaelpadilla / review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

metrics object-detection bounding-boxes pascal-voc mean-average-precision coco-dataset precision-recall average-precision coco-api pacal-voc-ap pascal-metrics

Updated Dec 21, 2023
Python

rafaelpadilla / Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

metrics object-detection bounding-boxes pascal-voc mean-average-precision precision-recall average-precision

Updated Oct 1, 2023
Python

Ola76 / HR_analytics

Human Resources Analytics

eda feature-selection logistic-regression confusion-matrix predictive-modeling stacking receiver-operating-characteristic precision-recall

Updated Aug 23, 2023
Jupyter Notebook

ash-0521 / Abandoned-Object-Detection-in-crowded-environment-using-MATLAB

Trained MATLAB models for 82% precision/80% recall, optimized with blob analysis for 25% performance boost. User-friendly alarm system with 500+ engaged users.

Updated Aug 20, 2023

mandyiv / Easy-Visa-Project

The objective of this analysis is to find patterns within the dataset to gain further understanding of the data and leverage it to choose a machine learning algorithm that can recommend a suitable profile for the applicants whose visa should be certified or denied

exploratory-data-analysis machine-learning-algorithms jupyter-notebook decision-tree-classifier gradient-boosting f1-score random-forest-classifier precision-recall

Updated Aug 10, 2023
Jupyter Notebook

SaadTariq01DataAnalyst / Prediction-of-Bank-Churn-Customer

The goal of this project is to develop a machine learning model that can help banks to identify customers who are likely to churn and take appropriate measures to retain them

machine-learning predictive-modeling support-vector-machines f1-score logistic-regression-algorithm precision-recall accuracy-metrics random-forests-classifier decision-trees-algorithm

Updated Aug 9, 2023
Jupyter Notebook

RobertRusev / ML-FinFraud-Detector

ML-FinFraud-Detector is a machine learning project for detecting financial transaction fraud. Utilizing XGBoost, precision-recall, and ROC curves, it provides accurate fraud detection. Explore feature importance, evaluate model performance, and enhance financial security with this comprehensive fraud detection solution.

python data-science machine-learning jupyter-notebook data-visualization xgboost classification data-analysis data-preprocessing roc-curve model-evaluation fraud-detection feature-importance precision-recall financial-fraud

Updated Jul 14, 2023
Jupyter Notebook

JitalEn / LeadScore

Lead scoring case study

machine-learning machine-learning-algorithms eda roc-curve precision-recall roc-auc-curve

Updated Apr 25, 2023
Jupyter Notebook

deadskull7 / Pneumonia-Diagnosis-using-XRays-96-percent-Recall

BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagg…

kaggle healthcare confusion-matrix transfer-learning inceptionv3 xray f1-score precision-recall lungs pneumonia-diagnosis

Updated Apr 22, 2023
Jupyter Notebook

danort92 / Prediction-of-Cross-sell-Opportunities-for-Insurance-Policies

Insurance Cross Sell Opportunity Forecast through machine learning algorithm

machine-learning linear-regression logistic-regression f1-score precision-recall machinelearning-python roccurve

Updated Apr 10, 2023
Jupyter Notebook

danort92 / Anti-Spam-Software-for-University-Mail

Mail SPAM Detector

nlp machine-learning natural-language-processing logistic-regression confusion-matrix multilayer-perceptron precision-recall

Updated Apr 4, 2023
Jupyter Notebook

Improve this page

Add a description, image, and links to the precision-recall topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the precision-recall topic, visit your repo's landing page and select "manage topics."