GitHub topics: receiver-operating-characteristic
lmickes/pyWitness
pyWitness performs data analyses and model fitting of recognition memory data, specifically eyewitness identification data.
Language: Jupyter Notebook - Size: 30.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 3
erdogant/classeval
Evaluation of supervised predictions for two-class and multi-class classifiers
Language: Python - Size: 7.48 MB - Last synced at: 25 days ago - Pushed at: 4 months ago - Stars: 7 - Forks: 2
kmock930/Drug-Consumption-Machine-Learning-analysis
This project contains codes and paperwork based on the course CSI5155 at University of Ottawa (delivered by Professor Dr. Herna Viktor).
Language: Jupyter Notebook - Size: 105 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
PiotrTymoszuk/microViz
Visualization of whole genome differential gene expression analyses
Language: R - Size: 11.9 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
Shlok-Nahar/mnist-cnn-classifier
This repository trains and evaluates three CNN models on MNIST, providing performance comparisons and 5 unique visualizations.
Language: Python - Size: 36.6 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
Zen204/-my-ecornell-portfolio
Includes all of my Jupyter Notebook assignments from my time at MIT's Break Through AI/ML Program.
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FabricioArendTorres/streamAUC
Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..
Language: Python - Size: 152 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
LaurentVeyssier/Skin-Cancer-Classifier-Dermatologist-AI
Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions
Language: Jupyter Notebook - Size: 5.74 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 5
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
Language: Jupyter Notebook - Size: 30.8 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 23 - Forks: 11
Hands-On-Fraud-Analytics/Chapter-18-Classification-Techniques-For-Fraud-Detection
Classification-Techniques-For-Fraud-Detection
Language: Jupyter Notebook - Size: 7.47 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
RRafiee/SurvivalAnalysis
Survival modelling using Cox proportional hazard regression model
Language: R - Size: 21.5 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 2 - Forks: 2
andremadsen/Random-Forest-ML
Machine learning tutorial 'iris'
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martin-buck/logistic-regression-for-digit-and-fashion-classification
Explore how certain hyperparameters and features in a logistic regression model affect image classification
Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
MathCortes/Projeto10-Diabetes-ML_Classification
- Nesse trabalho vou explorar uma base vista em projetos passados, diabetes dataset. - Nela encontramos informações sobre algumas características de pacientes. Queremos estudar as características das pacientes e encontrar possíveis relações
Language: Jupyter Notebook - Size: 673 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
Ola76/Titanic_Dataset
In the project, Titanic data was obtained from Kaggle.com. The aim is to understand the survival rate and classes on the passengers.
Language: Jupyter Notebook - Size: 996 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Ola76/HR_analytics
Human Resources Analytics
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Ola76/SUV_data
In the project, SUV data was obtained from Kaggle.com. The aim is to understand which customers can purchase a new car.
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niteshjindal-7/jigsaw-academy-assignment-logistic-regression
Language: R - Size: 15.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
antononcube/WL-ROCFunctions-paclet
Wolfram Language (aka Mathematica) paclet for Receiver Operation Characteristic (ROC) functions.
Language: Mathematica - Size: 443 KB - Last synced at: 17 days ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
Vishal1999-33/Logistic-Regression
The classification goal is to predict whether the client will subscribe (1/0) to a term deposit (variable y).
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Akash1070/Machine-Learning-
Learning Machine Learning Through Data
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thanhtbt/ROC
[IEEE ATC 2017] "On the overall ROC of multistage systems". In IEEE International Conference on Advanced Technologies for Communications, 2017.
Language: MATLAB - Size: 179 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
bstevens00/Data-Science-Portfolio
A Data Science Portfolio for potentially interested employers and recruiters.
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apetsiuk/Multivariate-Gaussian-Hypothesis-Testing
Two-Dimensional Data Whitening and Receiver Operational Characteristic Determination
Language: MATLAB - Size: 158 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0
petermchale/predict_customer_response
Machine-learning models to predict whether customers respond to a marketing campaign
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OMahmoodi/evaluation_metrics
This notebook describes how to compute and derive insights from various classification evaluation metrics.
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seejansunar/ML-DataCamp
This repository basically contains all the projects that I have carried out while learning Machine Learning on DataCamp.
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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: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1
ameya98/pr2roc
Resample precision-recall curves correctly!
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saratbhargava/ECE219-Large-Scale-Data-Mining-UCLA
These codes are written as a part of ECE219 Large Scale Data Mining course at UCLA.
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arudzinska/awROC_calculation
[Master Thesis 2017] Scripts for calculating metrics to assess performance of a drug design software.
Language: Python - Size: 91.8 KB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 3
Jstacs/PRROC
Language: R - Size: 31.3 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
Akhilesh97/Predictive-Analysis
The repository contains the code for the various machine learning algorithms used to make a predictive analysis of tweets on GST in India
Language: Python - Size: 25.4 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
