vishwajayawickrama/ArtisianAxis

ArtisanAxis is a digital marketplace and auction platform.

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rogeriorrcoelho/Churn

Projeto de Regressão Logística desenvolvido em Python com Google Colab Jupyter Notebook

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menna611/bank

A machine learning project that analyzes the Bank Marketing dataset to predict whether a client will subscribe to a term deposit, using data preprocessing, EDA, and classification models.

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charlenry/machine_learning

Mon Notebook sur les fondamentaux du Machine Learning

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erdogant/classeval

Evaluation of supervised predictions for two-class and multi-class classifiers

Language: Python - Size: 7.48 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 8 - Forks: 2

aitorvv/metrics_for_individual_tree_mortality_models

How performance metric choice influences individual tree mortality model selection - code and data

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guynich/vad_eval_comparison

Test comparison of two VAD models with English and multilingual speech datasets

Language: Python - Size: 2.11 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 8 - Forks: 0

nataliarodriguez-uc/auc-opt

Constructing new surrogate loss for optimizing pairwise difference metrics for training contrastive learning. Currently testing on classification tasks and AUC maximization!

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Dharmeshgadhiya161/Mid-Course-Assessment---ML-Case-Study

Mid Course Assessment - ML Case Study(Credit Scoring (Banking & Financial Services))

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guynich/vad_eval_curves

AUC curve metrics example

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cadam00/lightAUC

Fast AUC Computation

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LeihuaYe/Machine-Learning-Rare-Event-Classification

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

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SeoBuAs/LG_Aimers_6th_Predicting_Pregnancy_Success_in_Infertility_Patients

LG Aimers 6th Hackathon Project Deliverables / LG Aimers 6기 과제 수행물

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harmonydata/experiments

Experiments with Harmony

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Salma0-8/Credit-Card-Fraud-Detection-A-Comprehensive-Machine-Learning-Approach

Built a fraud detection system to handle an imbalanced credit card transaction dataset using SMOTE and NearMiss for data balancing. Trained multiple models, including Logistic Regression, SVM, Random Forest, and a Neural Network, to detect fraud accurately. Evaluated performance using Precision-Recall AUC, F1-score, and ROC-AUC

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AnovaYoung/Predictive-Modeling-with-NYC-Traffic-Data

This project examines NYC traffic data and leverages predictive modeling to identify issues, aiming to provide actionable recommendations for the NYC Council Committee to reduce automobile injuries and fatalities.

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sungcheolkim78/FiDEL

R library - A binary classifier based on the class probability at a given rank following Fermi-Dirac distribution

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AnneQuinkenstein/AccidentsInBerlin

Mithilfe von Machine Learning und Open Data zu Unfällen in Berlin (2018-2021) beantworten wir folgende Frage: Was sind die wichtigen Faktoren/Einflüsse auf Unfallgefahr? Und wie gut lässt sich damit die Unfallschwere überhaupt vorhersagen?

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aiparragirre/wROC

R package 'wROC'. Estimation of the ROC curve and AUC with complex survey data.

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aiparragirre/svyROC

Estimate the receiver operating characteristic (ROC) curve, area under the curve (AUC) and optimal cut-off points for individual classification with complex survey data.

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Compcode1/depression-screening-ml

The goal of this project was to build a machine learning model capable of accurately predicting depression in a population where the incidence rate is 15%.

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difuture-lmu/dsBinVal

ROC-GLM and calibration analysis for DataSHIELD

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renee127/classifying_churn

Data Analysis Project (03/2022): Final project for Practicum by Yandex Data Science Bootcamp. This project uses machine learning techniques to develop a predictive model of customer churn with AUC-ROC > 0.92.

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gasparl/esdi

A Shiny R web application to estimate differences in diagnostic efficiency based on differences between single-condition cases.

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marinafajardo/prevendo-customer-churn

Prevendo Customer Churn em Operadoras de Telecom

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artdelpi/Projeto2_IA_UnB_2024_1

Análise de resultados obtidos na classificação de dados gerados por IA ou humanos, ao utilizar diferentes algoritmos de classificação supervisionada.

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Rnamrata/car_insurance_prediction

Car insurance prediction using Logistic Regression and the Naive Bayes

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Saba-Gul/-PyCaret-Streamline-Your-Machine-Learning-Workflow

PyCaret: Simplifying machine learning workflows with a low-code, open-source Python library.

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alvarouc/polyssifier

run a multitude of classifiers on you data and get an AUC report

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peijin0405/ML-XGBoostModel-for-Deal-and-User-Churn-Forecast

This project employs XGBoost regression and XGBoost classifier model to predict user order and user churn on online travel agency data. Reach 97% prediction accuracy.

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prasarma/All-Python_Templates-Machine_Learning

All Machine Learning Templates (Seaborn,K fold, Grid Search, Random Search,AUC-ROC for all major algorithms)

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Nikronic/Pattern-Recognition-IUST

The pattern recognition assignments and solutions for fall 2019 by Dr. Analouei at Iran University of Science and Technology

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zzhanghub/eval-co-sod

PyTorch-Based Evaluation Tool for Co-Saliency Detection

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li-bx/gateway-load-balance-oauth2-jwt-microservice-current-limiting-mybatisplus

微服务构架分布式事务seata+ oauth2 jwt+gateway+nacos+micro service oauth2 jwt rsa，scope的使用；分布式锁，更简洁的jwt 客户端认证方式，鉴权 限流 负载均衡、请求监视、retry ；feign robin；文件分片续传；读写分离；

Language: Java - Size: 3.77 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

pgrondein/scoring_model_financial_company

Scoring model for financial company - all files

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WLOGSolutions/retail-segmentation-based-marketing-campaing-in-r-and-h2o

Showcase for using H2O and R for scoring for marketing campaign in retail

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LaurentVeyssier/Chest-X-Ray-Medical-Diagnosis-with-Deep-Learning

Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method

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rishi1999/CS-411-P2

AUC & Naive Bayes

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ledell/cvAUC

Computationally efficient confidence intervals for cross-validated AUC estimates in R

Language: R - Size: 138 KB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 23 - Forks: 11

SuzanKiraz/Raisin-Class-Prediction-with-Logistic-Regression

Raisin Class Prediction

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SkullkyAI/ML-CLASIFICACION-TITANIC-KAGGLE

Práctica de clasificación con Machine Learning en el dataset del Titanic, abordando exploración de datos, preprocesamiento, selección de métricas y modelos, con el objetivo de analizar detalladamente los resultados obtenidos.

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diditforlulz273/fastauc

Three fast ROC AUC calculation implementations for python

Language: Python - Size: 111 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 38 - Forks: 2

pjbk/Breast-Cancer-Analysis-Prediction

Predict whether the cancer is benign or malignant.

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datascienceisrael/ROCme 📦

Evaluate Binary Classifiers

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Prem-98/Logistic-Regression

logistic regression

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suvasama/Machine-learning--basic-examples-

Python and sklearn, KNN, logistic and linear regression, cross-validation

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seandhan/Insurance-Premium-Default

Capstone Project for Insurance Premium Default Propensity

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Russel88/DAtest

Compare different differential abundance and expression methods

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JackStat/ModelMetrics

Rapid Calculation of Model Metrics

Language: R - Size: 515 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 30 - Forks: 9

extremecode/stress-detection-in-social-networks

stress detection in social networks

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nissim-panchpor/Email-Spam-Detecting-ML-Classifier

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marcotav/supervised-machine-learning

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using Lasso and Ridge regressions.

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DongChanKIM2/seoul-bigdata-competition

2020 seoul bigdata competition

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ankitapiu/Healthcare-Capstone

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guhjy/rBMC Fork of yanyachen/rBMC

Bayesian Model Combination for optimizing AUC

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ek0212/TCIA-Classification

Dichotomized classification of glioblastomas and low grade gliomas using publicly available data

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mustaffa-hussain/Performance-Metric

This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.

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UnixJunkie/cpmlib

Classification and Regression Performance Metrics library

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Taweilo/Diabetes_Prediction

Leverage Supervised Machine-learning Techiques to Predict Diabetes from Blood Test

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aaolcay/Multi-Task-Learning

This repository includes a multi-task learning example on the face images to classify the genders and races of people. The dataset is from the Kaggle.

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S-CHAN11/Insurance-Claim-Prediction

In this project, I use 3 machine learning models (CART, Random Forest and ANN) to predict the claim frequency for a travel insurance firm. I also evaluate which of the three models is most suitable for our dataset.

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iamkirankumaryadav/Classification

Classification Model (End to End Classification of Heart Disease - UCI Data Set)

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nitingour1203/Intelligent-Video-Surveillance

An intelligent video surveillance system also provides video cameras and recording solutions to monitor every part of the building and site perimeter. Yet it also utilizes smart security technology such as sensors and AI models.

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danielchristopher513/Customer_churn_prediction_using_machine_learning

We classify whether the data in the dataset is churn or not

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sarmitamajumdar/BreastCancerDetection

Breast Cancer prediction with Machine Learning

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elifmeseci/link-prediction-on-complex-networks

Using neighborhood-based link prediction methods to predict new links that will occur in networks created from darts championship competitions

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yzhuoning/LibAUC 📦

(Archived). Please visit our new repo: https://github.com/Optimization-AI/LibAUC.

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PerXeptron/X-Ray-Anomaly-Detection-Models

Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays

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sachelsout/performance-metrics-from-scratch

This repository has the implementation of Performance Metrics (e.g. F1 score, AUC, Accuracy, etc) from scratch, without using Scikit Learn library.

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Danilsq/DS_Stepik-course

This repo includes the final project (+2 mini-projects) of the DataScience Course settled on Stepik

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moiji-mobile/hlr

Scalable, Flexible, Extensible HomeLocationRegister (HLR)

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dsmilab/WSDM2018-KKBox-MRC

:musical_score: Predict the chances of a user listening to a song repetitively after the first observable listening event within a time window was triggered.

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mohan-aditya05/santander-customer-challenge

At Santander our mission is to help people and businesses prosper. We are always looking for ways to help our customers understand their financial health and identify which products and services might help them achieve their monetary goals. Our data science team is continually challenging our machine learning algorithms, working with the global data science community to make sure we can more accurately identify new ways to solve our most common challenge, binary classification problems such as: is a customer satisfied? Will a customer buy this product? Can a customer pay this loan? In this challenge, we invite Kagglers to help us identify which customers will make a specific transaction in the future, irrespective of the amount of money transacted. The data provided for this competition has the same structure as the real data we have available to solve this problem.

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aldimeolaalfarisy/Rain-Prediction-Using-Machine-Learning

Predict rain the next day using daily observations of weather aspects in Australia regions for 10 years

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nomahi/dmetatools

A R package for computational tools of meta-analysis of diagnostic accuracy test. This package enables computations of confidence interval for AUC of summary ROC curve and some related AUC-based inference methods.

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arpitg91/PerformanceScoreCard

Get performance metrics and graphs of a scorecard

Language: Python - Size: 9.77 KB - Last synced at: 27 days ago - Pushed at: over 8 years ago - Stars: 7 - Forks: 5

n1ghtf4l1/fuzzy-eureka

Find gravitational wave signals from binary black hole collisions

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benkeser/nlpred

Estimators of cross-validated prediction metrics with improved small sample performance

Language: R - Size: 2.58 MB - Last synced at: 21 days ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 4

Julian-Theis/stat-kiste

A collection of statistical methods

Language: Python - Size: 16.6 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

saminens/Predicting-Bankruptcy-of-firms

In class Kaggle competition on predicting bankruptcy of a firm

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gabriel-solon-padilha/predicao_sobrevivencia_classification

Meu 8 miniprojeto em python em que faço o uso de modelos de classificação para predição da sobrevivência ou não no desastre do titanic

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difuture-lmu/dsROCGLM

ROC-GLM for DataSHIELD

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mcol/wevid

An R package to quantify the performance of a binary classifier

Language: R - Size: 421 KB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

aifenaike/Probabilistic-Lithology-Characterization

A probability based approach to characterize lithology using drilling data and Random Forests

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bryce-bowles/lending-club-classification

Built a logistic regression model and a classification tree model for predicting the final status of a loan based on various variables available. Confusion matrix and misclassification rate for each model for a test dataset. Variables that appear to be important for predicting outcome. Plotted and described the ROC curves and AUC for the four models.

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lilianchi/Credit-Default-Prediction

A repository with our team's final SAS EM project in MGMT 571 Data Mining course at Krannert School of Management, Purdue University.

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mncube/discountr

Tools to Analyze Discounting Data

Language: R - Size: 17.6 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Shivang-Shrivastav/Featurization-Model-Selection-Tuning

Feature Engineering, Cross Validation, ROC, AUC, Pipeline, Model Tuning, Hyper Parameter Tuning, Grid Search

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yrodriguezmd/Flu

Competition entry: DataDriven_Flu

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kristina100/Graph-Data-Mining

:wink:实现链路预测局部算法，并有AUC，精确度，时间三个指标，使用node2vec发现社区

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antnewman/RSNA_MICCAI_Brain_Tumor_Radiogenomic_Classification

Predict the status of a genetic biomarker important for brain cancer treatment

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d4rthm4ul/ML-Classification-LogReg-SupVecMach-KNN

With the help of Logistic Regression, Support Vector Machine and K-Nearest Neighbors models you can predict a person's income that it will be below or above 50K.

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Arun-George-Zachariah/AUC

Source code from the AUCCalculator jar (http://mark.goadrich.com/programs/AUC).

Language: Java - Size: 9.77 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

srilakshmi-thota/METRICS-ROC-AND-AUC

Python code to obtain metrics like receiver operating characteristics (ROC) curve and area under the curve (AUC) from scratch without using in-built functions.

Language: Python - Size: 7.81 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 1

srilakshmi-thota/Machine-Intelligence-Expertise-Systems

EC60091-Machine Intelligence & Expertise Systems Course,Autumn-2019

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benkeser/cvAUC.plus

Tests and confidence intervals for differences in cross-validated AUC

Language: R - Size: 19.5 KB - Last synced at: 21 days ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 2

ilyajob05/ROC_calculation

calculate ROC curve and find threshold for given accuracy

Language: Python - Size: 45.9 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 1

rakibhhridoy/HandlingImbalancedDataset-Business

It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase but by others illegally. Some huge transactions can also done by suspicious figure, it need to catch em.

Language: Jupyter Notebook - Size: 975 KB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

pchlq/jigsaw-multilingual-toxic-comment-classification

Kaggle competition

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lewis-morris/Skperopt

A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.

Language: Python - Size: 2.61 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1