Topic: auc Goto Github
Some thing interesting about auc
Some thing interesting about auc
auc,A probability based approach to characterize lithology using drilling data and Random Forests
User: aifenaike
auc,Predict rain the next day using daily observations of weather aspects in Australia regions for 10 years
User: aldimeolaalfarisy
auc,run a multitude of classifiers on you data and get an AUC report
User: alvarouc
auc,Solution to Hackerearth Machine Learning Challenge 3
User: ankushr785
auc,Get performance metrics and graphs of a scorecard
User: arpitg91
auc,Source code from the AUCCalculator jar (http://mark.goadrich.com/programs/AUC).
User: arun-george-zachariah
auc,Tests and confidence intervals for differences in cross-validated AUC
User: benkeser
auc,Estimators of cross-validated prediction metrics with improved small sample performance
User: benkeser
Home Page: https://benkeser.github.io/nlpred/
auc,Built a logistic regression model and a classification tree model for predicting the final status of a loan based on various variables available. Confusion matrix and misclassification rate for each model for a test dataset. Variables that appear to be important for predicting outcome. Plotted and described the ROC curves and AUC for the four models.
User: bryce-bowles
auc,Binary Classifier using CNN from Keras module in python. Pneumothorax Detection Project From MIT's 6.S191 Course Lab
User: codelogist
auc,Three fast ROC AUC calculation implementations for python
User: diditforlulz273
auc,Compare different classification models to predict the accuracy of identifying credit card transactions as normal or fraud
User: divyar2630
auc, :musical_score: Predict the chances of a user listening to a song repetitively after the first observable listening event within a time window was triggered.
Organization: dsmilab
Home Page: https://www.kaggle.com/c/kkbox-music-recommendation-challenge
auc,Using neighborhood-based link prediction methods to predict new links that will occur in networks created from darts championship competitions
User: elifmeseci
auc,Evaluation of supervised predictions for two-class and multi-class classifiers
User: erdogant
Home Page: https://erdogant.github.io/classeval
auc,stress detection in social networks
User: extremecode
auc,Classification Model (End to End Classification of Heart Disease - UCI Data Set)
User: iamkirankumaryadav
auc,calculate ROC curve and find threshold for given accuracy
User: ilyajob05
auc,Rapid Calculation of Model Metrics
User: jackstat
auc,Evaluating machine learning methods for detecting sleep arousal, bachelor thesis by Jacob Stachowicz and Anton Ivarsson (2019)
User: jacobstac
auc,A collection of statistical methods
User: julian-theis
auc,:wink:实现链路预测局部算法,并有AUC,精确度,时间三个指标,使用node2vec发现社区
User: kristina100
auc,Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
User: laurentveyssier
auc,Computationally efficient confidence intervals for cross-validated AUC estimates in R
User: ledell
auc,With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
User: leihuaye
auc,A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.
User: lewis-morris
auc,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
auc,Prevendo Customer Churn em Operadoras de Telecom
User: marinafajardo
auc,At Santander our mission is to help people and businesses prosper. We are always looking for ways to help our customers understand their financial health and identify which products and services might help them achieve their monetary goals. Our data science team is continually challenging our machine learning algorithms, working with the global data science community to make sure we can more accurately identify new ways to solve our most common challenge, binary classification problems such as: is a customer satisfied? Will a customer buy this product? Can a customer pay this loan? In this challenge, we invite Kagglers to help us identify which customers will make a specific transaction in the future, irrespective of the amount of money transacted. The data provided for this competition has the same structure as the real data we have available to solve this problem.
User: mohan-aditya05
auc,Scalable, Flexible, Extensible HomeLocationRegister (HLR)
Organization: moiji-mobile
Home Page: https://www.moiji-mobile.com/products/hlr
auc,The pattern recognition assignments and solutions for fall 2019 by Dr. Analouei at Iran University of Science and Technology
User: nikronic
auc,Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays
Organization: perxeptron
auc,All Machine Learning Templates (Seaborn,K fold, Grid Search, Random Search,AUC-ROC for all major algorithms)
User: prasarma
auc,A multi-class approach to the AUC based on Hand and Till's 2001 paper.
User: pritomsaha
auc,Compare different differential abundance and expression methods
User: russel88
auc,In class Kaggle competition on predicting bankruptcy of a firm
User: saminens
auc,Breast Cancer prediction with Machine Learning
User: sarmitamajumdar
auc,The objective of this project is to predict the probability of loanee or borrower defaulting on a vehicle loan in the first EMI (Equated Monthly Instalments) on the due date.
User: shreyaswankhede
auc,Synthetic Minority Over-sampling Technique Implementation
User: snavgire
auc,EC60091-Machine Intelligence & Expertise Systems Course,Autumn-2019
User: srilakshmi-thota
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.
User: srilakshmi-thota
auc,R library - A binary classifier based on the class probability at a given rank following Fermi-Dirac distribution
User: sungcheolkim78
auc,Python and sklearn, KNN, logistic and linear regression, cross-validation
User: suvasama
auc,Leverage Supervised Machine-learning Techiques to Predict Diabetes from Blood Test
User: taweilo
Home Page: https://github.com/Taweilo/Diabetes_Prediction
auc,Classification and Regression Performance Metrics library
User: unixjunkie
auc,Showcase for using H2O and R for scoring for marketing campaign in retail
Organization: wlogsolutions
auc,Built various machine learning models for banks to develop effective credit rating
User: zhousrhhh
auc,PyTorch-Based Evaluation Tool for Co-Saliency Detection
User: zzhanghub
Home Page: http://zhaozhang.net/coca.html
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