roc-curve
There are 155 repositories under roc-curve topic.
dformoso/sklearn-classification
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
louis-she/center-loss.pytorch
center loss for face recognition
xrobin/pROC
Display and analyze ROC curves in R and S+
metriculous-ml/metriculous
Measure and visualize machine learning model performance without the usual boilerplate.
zzhanghub/eval-co-sod
PyTorch-Based Evaluation Tool for Co-Saliency Detection
Thie1e/cutpointr
Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification
ShoupingShan/Hyperspectral-image-target-detection-based-on-sparse-representation
Hyperspectral image Target Detection based on Sparse Representation
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.
Bharat-Reddy/Bank-Marketing-Analysis
The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit.
LeihuaYe/Machine-Learning-Rare-Event-Classification
With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
stefmolin/ml-utils
Machine learning utility functions and classes.
mansipatel2508/Network-Intrusion-Detection-with-Feature-Extraction-ML
The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.
Mr-TalhaIlyas/Evaluation-Metrics-Package-Tensorflow-PyTorch-Keras
ML/CNN Evaluation Metrics Package
unnathi10/HateSpeechDetection
Detecting hate speech using the spoken content of videos using Machine Learning
abichat/evabic
Evaluation of Binary Classifiers
FatemehGholamzadeh/Machine-Learning
Assignments of Machine Learning Graduate Course - Spring 2021
ksopyla/scikit-learn-tutorial
Scikit-learn tutorial for beginniers. How to perform classification, regression. How to measure machine learning model performacne acuuracy, presiccion, recall, ROC.
pajaskowiak/clusterConfusion
Clustering validation with ROC Curves
11808s8/python-neural-network
A simple neural network with backpropagation used to recognize ASCII coded characters
balcilar/Orthonormal-Face-Recognition
L2 Orthonormal Face Recognition Performance under L2 Regularization Term
ilyajob05/ROC_calculation
calculate ROC curve and find threshold for given accuracy
liangyy/silver-standard-performance
A light and flexible R package to evaluate GWAS-based gene prioritization methods for complex traits.
nssharmaofficial/Binary-classification-in-medicine
Classification of spondylodiscitidis vs metastasis in the spine using Neural Networks
pkiage/tool-credit-risk-modelling
Tool demonstrating building credit risk models
RRafiee/SurvivalAnalysis
Survival modelling using Cox proportional hazard regression model
spChalk/Vaccine-Sentiment-Classifier
:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.
doronser/Debbi-s-Cube
Step-by-step guide of Hyperspectal Target Detection
gagejane/Suicide-bombings
Used the Global Terrorism Database to Explore Features of Suicide Bombings
ivonajdenkoska/face-recognition-algorithms
Face recognition, tackling three different "old-school" Computer Vision techniques - as part of the Biometrics System Concepts course @ KU Leuven
Kimonokimo/Machine-Learning-Projects
Machine Learning studies at Brandeis University, with my best friends Ran Dou, Tianyi Zhou, Dan Mduduzi, Siyan Lin.
mahajanaman/Health-Insurance-Analytics
Making use of R programming, the analysis is focussed on the problem which insurance providers are facing today to define their target market and plan their sale strategies which helps them increase their market share and thereby, maximize their profitability. The analysis techniques used in the project are learnt through Data Analysis and Decision Making course at Rutgers University.
nikhil-188/BankruptcyPrediction
Our project aims to utilize machine learning techniques for bankruptcy prediction, leveraging data analysis and predictive models to forecast the likelihood of a company experiencing financial insolvency.
nssharmaofficial/Binary-classification-Tumor-vs.-Infection
Classification of spondylodiscitidis vs metastasis in the spine using multiple approaches in R
sanketmaneDS/Logistic_Regression
This repository contains introductory notebook for logistic regression
adarshsankarrs/Spotify-Data-Analysis---RF-vs-MLP-Study
The project involves using machine learning techniques, like RandomForestClassifier and MLP, to predict whether a song will be popular or not based on its acoustic features. The input consists of various acoustic and metadata features, while the output is a binary classification.