Topic: roc-curve Goto Github
Some thing interesting about roc-curve
Some thing interesting about roc-curve
roc-curve,A simple neural network with backpropagation used to recognize ASCII coded characters
User: 11808s8
roc-curve,Evaluation of Binary Classifiers
User: abichat
Home Page: https://abichat.github.io/evabic/
roc-curve,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.
User: adarshsankarrs
roc-curve,L2 Orthonormal Face Recognition Performance under L2 Regularization Term
User: balcilar
roc-curve, 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.
User: bharat-reddy
roc-curve,One Data Set with All Algorithms
User: bvsrkiran
roc-curve,Análise exploratório e classificação de pacientes anêmicos
User: cantaruttim
roc-curve,Data Science : Youtube Vídeo Recommender on Python with youtube-dl. Predictive models with: DecisionTreeClassifier, RandomForestClassifier, TfidfVectorizer.
User: claudineien
Home Page: https://claudineien.github.io/youtube-recommender-machine-learning/
roc-curve,Get an intuitive sense for the ROC curve and other binary classification metrics with interactive visualization.
User: davhbrown
Home Page: https://www.glidergrid.xyz/post-archive/understanding-the-roc-curve-and-beyond
roc-curve,Complete package for all Data Science models using R. Starting form Preprocessing, Data Manipulation, Feature Engineering, Model Building, and Model Validation.
User: djdhiraj
roc-curve,Step-by-step guide of Hyperspectal Target Detection
User: doronser
roc-curve,Assignments of Machine Learning Graduate Course - Spring 2021
User: fatemehgholamzadeh
roc-curve,Used the Global Terrorism Database to Explore Features of Suicide Bombings
User: gagejane
roc-curve,My Master Degree Project
User: gbazo
roc-curve,calculate ROC curve and find threshold for given accuracy
User: ilyajob05
roc-curve,Face recognition, tackling three different "old-school" Computer Vision techniques - as part of the Biometrics System Concepts course @ KU Leuven
User: ivonajdenkoska
roc-curve,Machine Learning studies at Brandeis University, with my best friends Ran Dou, Tianyi Zhou, Dan Mduduzi, Siyan Lin.
User: kimonokimo
roc-curve,Scikit-learn tutorial for beginniers. How to perform classification, regression. How to measure machine learning model performacne acuuracy, presiccion, recall, ROC.
User: ksopyla
roc-curve,With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
User: leihuaye
roc-curve,A light and flexible R package to evaluate GWAS-based gene prioritization methods for complex traits.
User: liangyy
Home Page: https://liangyy.github.io/silver-standard-performance/
roc-curve,center loss for face recognition
User: louis-she
roc-curve,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.
User: mahajanaman
roc-curve,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.
User: mansipatel2508
Home Page: https://colab.research.google.com/drive/1cymmyp2Bz-nYPKPnJNxtZdlYd7kdKhjd
roc-curve,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.
User: marcotav
roc-curve, Data Science (Data preprocessing) along with machine learning where patients with digestive and kidney diseases are predicted using(kNN, Naïve Bayes , and Random Forest) classifiers in R Programming Language
User: mdaliahnaf
Home Page: https://github.com/MdAliAhnaf/Data_Science_R-Lang_ML
roc-curve,Measure and visualize machine learning model performance without the usual boilerplate.
Organization: metriculous-ml
roc-curve,ML/CNN Evaluation Metrics Package
User: mr-talhailyas
roc-curve,Predicting the volcanic eruption using ML Algorithms.
User: naveenjujaray
roc-curve,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.
User: nikhil-188
roc-curve,Classification of spondylodiscitidis vs metastasis in the spine using Neural Networks
User: nssharmaofficial
roc-curve,Classification of spondylodiscitidis vs metastasis in the spine using multiple approaches in R
User: nssharmaofficial
roc-curve,Clustering validation with ROC Curves
User: pajaskowiak
roc-curve,Tool demonstrating building credit risk models
User: pkiage
Home Page: https://huggingface.co/spaces/pkiage/credit_risk_modeling_demo
roc-curve,ML-FinFraud-Detector is a machine learning project for detecting financial transaction fraud. Utilizing XGBoost, precision-recall, and ROC curves, it provides accurate fraud detection. Explore feature importance, evaluate model performance, and enhance financial security with this comprehensive fraud detection solution.
User: robertrusev
roc-curve,Survival modelling using Cox proportional hazard regression model
User: rrafiee
roc-curve,This repository contains introductory notebook for logistic regression
User: sanketmaneds
roc-curve,SerenaRosi's GitHub page
User: serenarosi
roc-curve,Hyperspectral image Target Detection based on Sparse Representation
User: shoupingshan
roc-curve,: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.
User: spchalk
roc-curve,Machine learning utility functions and classes.
User: stefmolin
roc-curve,Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification
User: thie1e
Home Page: https://cran.r-project.org/package=cutpointr
roc-curve,Detecting hate speech using the spoken content of videos using Machine Learning
User: unnathi10
roc-curve,Assignment-06-Logistic-Regression. Output variable -> y y -> Whether the client has subscribed a term deposit or not Binomial ("yes" or "no") Attribute information For bank dataset Input variables: # bank client data: 1 - age (numeric) 2 - job : type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","student", "blue-collar","self-employed","retired","technician","services") 3 - marital : marital status (categorical: "married","divorced","single"; note: "divorced" means divorced or widowed) 4 - education (categorical: "unknown","secondary","primary","tertiary") 5 - default: has credit in default? (binary: "yes","no") 6 - balance: average yearly balance, in euros (numeric) 7 - housing: has housing loan? (binary: "yes","no") 8 - loan: has personal loan? (binary: "yes","no") # related with the last contact of the current campaign: 9 - contact: contact communication type (categorical: "unknown","telephone","cellular") 10 - day: last contact day of the month (numeric) 11 - month: last contact month of year (categorical: "jan", "feb", "mar", ..., "nov", "dec") 12 - duration: last contact duration, in seconds (numeric) # other attributes: 13 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact) 14 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric, -1 means client was not previously contacted) 15 - previous: number of contacts performed before this campaign and for this client (numeric) 16 - poutcome: outcome of the previous marketing campaign (categorical: "unknown","other","failure","success") Output variable (desired target): 17 - y - has the client subscribed a term deposit? (binary: "yes","no") 8. Missing Attribute Values: None
User: vaitybharati
roc-curve,Display and analyze ROC curves in R and S+
User: xrobin
Home Page: https://cran.r-project.org/web/packages/pROC/
roc-curve,Created a model to estimate the measurement error existing in ROC curves - Measurement Error model, Bernstein polynomial Model, Contaminated Non-parametric Density Estimation, MLE, EM Algorithm, R
User: youheekil
roc-curve,PyTorch-Based Evaluation Tool for Co-Saliency Detection
User: zzhanghub
Home Page: http://zhaozhang.net/coca.html
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