There are 0 repository under receiver-operating-characteristic topic.
Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions
Machine-learning models to predict whether customers respond to a marketing campaign
Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)
The classification goal is to predict whether the client will subscribe (1/0) to a term deposit (variable y).
[Master Thesis 2017] Scripts for calculating metrics to assess performance of a drug design software.
Survival modelling using Cox proportional hazard regression model
Two-Dimensional Data Whitening and Receiver Operational Characteristic Determination
These codes are written as a part of ECE219 Large Scale Data Mining course at UCLA.
Python code to obtain metrics like receiver operating characteristics (ROC) curve and area under the curve (AUC) from scratch without using in-built functions.
Machine learning tutorial 'iris'
A Data Science Portfolio for potentially interested employers and recruiters.
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.
Explore how certain hyperparameters and features in a logistic regression model affect image 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
Credit card fraud detection based on the Kaggle dataset.
Human Resources Analytics
This notebook describes how to compute and derive insights from various classification evaluation metrics.
[IEEE ATC 2017] "On the overall ROC of multistage systems". In IEEE International Conference on Advanced Technologies for Communications, 2017.
Learning Machine Learning Through Data
The repository contains the code for the various machine learning algorithms used to make a predictive analysis of tweets on GST in India
Wolfram Language (aka Mathematica) paclet for Receiver Operation Characteristic (ROC) functions.
Classification-Techniques-For-Fraud-Detection
This repository basically contains all the projects that I have carried out while learning Machine Learning on DataCamp.
Leveraging and comparing various ML techniques to forecast credit card defaults [Imbalanced data]