receiver-operating-characteristic
There are 33 repositories under receiver-operating-characteristic topic.
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
LaurentVeyssier/Skin-Cancer-Classifier-Dermatologist-AI
Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions
erdogant/classeval
Evaluation of supervised predictions for two-class and multi-class classifiers
petermchale/predict_customer_response
Machine-learning models to predict whether customers respond to a marketing campaign
RRafiee/SurvivalAnalysis
Survival modelling using Cox proportional hazard regression model
waihongchung/dress
Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)
lmickes/pyWitness
pyWitness performs data analyses and model fitting of recognition memory data, specifically eyewitness identification data.
Vishal1999-33/Logistic-Regression
The classification goal is to predict whether the client will subscribe (1/0) to a term deposit (variable y).
ameya98/pr2roc
Resample precision-recall curves correctly!
arudzinska/awROC_calculation
[Master Thesis 2017] Scripts for calculating metrics to assess performance of a drug design software.
amir-rs/Diabetes-Detection-Neural-Network
This project aims to predict the occurrence of diabetes using machine learning techniques. The dataset used for this analysis is the "diabetes_prediction_dataset.csv" file, which contains various features related to an individual's health condition.
apetsiuk/Multivariate-Gaussian-Hypothesis-Testing
Two-Dimensional Data Whitening and Receiver Operational Characteristic Determination
PiotrTymoszuk/microViz
Visualization of whole genome differential gene expression analyses
saratbhargava/ECE219-Large-Scale-Data-Mining-UCLA
These codes are written as a part of ECE219 Large Scale Data Mining course at UCLA.
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.
andremadsen/Random-Forest-ML
Machine learning tutorial 'iris'
bstevens00/Data-Science-Portfolio
A Data Science Portfolio for potentially interested employers and recruiters.
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..
Hands-On-Fraud-Analytics/Chapter-18-Classification-Techniques-For-Fraud-Detection
Classification-Techniques-For-Fraud-Detection
lakshaykakkarr/telecom-churn
Using 21 predictor variables and applying simple Logistic Regression, predicting whether a particular customer will switch to another telecom provider or not. In telecom terminology, this is referred to as churning and not churning, respectively.
martin-buck/logistic-regression-for-digit-and-fashion-classification
Explore how certain hyperparameters and features in a logistic regression model affect image classification
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
N-O-O-B-Coder/Credit-Card-Fraud-Detection
Credit card fraud detection based on the Kaggle dataset.
Ola76/HR_analytics
Human Resources Analytics
OMahmoodi/evaluation_metrics
This notebook describes how to compute and derive insights from various classification evaluation metrics.
Shamanistic-Bearbarian/credit-card-default-forecasting
Leveraging and comparing various ML techniques to forecast credit card defaults [Imbalanced data]
thanhtbt/ROC
[IEEE ATC 2017] "On the overall ROC of multistage systems". In IEEE International Conference on Advanced Technologies for Communications, 2017.
Akash1070/Machine-Learning-
Learning Machine Learning Through Data
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
antononcube/WL-ROCFunctions-paclet
Wolfram Language (aka Mathematica) paclet for Receiver Operation Characteristic (ROC) functions.
seejansunar/ML-DataCamp
This repository basically contains all the projects that I have carried out while learning Machine Learning on DataCamp.