Topic: roc-auc Goto Github
Some thing interesting about roc-auc
Some thing interesting about roc-auc
roc-auc,Project building ML & DL models to detect spam messages.
User: aapetukhov
roc-auc,CiΓͺncia de Dados
User: alesouzaeu
roc-auc, 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 (variable y).
User: aman5319
roc-auc,Predict fraudulent credit card transactions using TensorFlow, Keras, K Neighbors, Decision Tree, SVM Regression and Logistic Regression classifiers .
User: ansu-john
roc-auc,Evaluation of Machine Learning Models with Yellowbrick
User: aparajitad60
roc-auc,This analysis helps predict cardiovascular diseases in human body.
User: ashikul-kabir
Home Page: https://github.com/Ashikul-Kabir/Cardio-Disease.git
roc-auc,This is a fake news classification project, using TFIDF and pre-trained w2v embedding as separate sets of features, along with text sentiment scores, to classify news text as fake or real.
User: aud-z
roc-auc,A real world data analysis and sentiment analysis using NLP and supervised classification machine learning model #4
User: b1llywitant0
roc-auc,Data analysis, visualization and prediction for the prevention of heart disease using ML models
User: christingo
roc-auc,League of Legends Game Data Analysis (Random Forest, KNN, SVM, XGB / Kaggle game data 2017)
User: doguma
roc-auc,ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ Π΄Π°Π½Π½ΡΡ ΠΎ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΊΠ»ΠΈΠ΅Π½ΡΠΎΠ² ΠΏΠΎΡΡΡΠΎΠΈΡΡ ΠΌΠΎΠ΄Π΅Π»Ρ Ρ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎ Π±ΠΎΠ»ΡΡΠΈΠΌ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ΠΌ F1 Π΄Π»Ρ Π·Π°Π΄Π°ΡΠΈ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ Π±ΡΠ΄Π΅Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡ ΠΊΠ»ΠΈΠ΅Π½ΡΠΎΠ², ΡΠΊΠ»ΠΎΠ½Π½ΡΡ ΠΊ ΠΎΡΡΠΎΠΊΡ.
User: ejay34
roc-auc,Used the Global Terrorism Database to Explore Features of Suicide Bombings
User: gagejane
roc-auc,Fully connected neural network analyzing sentiments in reviews for Amazon's Alexa.
User: guilhermedom
roc-auc,simple script for plotting precision recall curves
User: hailiang-wang
roc-auc,This repo contains the assignments workload for the computer vision course in the MSc degree
User: hosnaa
roc-auc,Loan Approval Prediction
User: iamkirankumaryadav
roc-auc,calculate ROC curve and find threshold for given accuracy
User: ilyajob05
roc-auc,Recurrent Capsule Network for Text Classification
User: imrahulr
roc-auc,A visual analytics environment for supervised text classification and model evaluation.
User: lilykos
roc-auc,Header-only AUROC/ROC-AUC in C++11
User: liurui39660
roc-auc,A wide variety of supervised and unsupervised machine learning methods using the scikit-learn library
User: liyijin-data-pm
roc-auc,Π£ΡΠ΅Π±Π½ΡΠ΅ ΠΏΡΠΎΠ΅ΠΊΡΡ ΠΊΡΡΡΠ° "Π‘ΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡ ΠΏΠΎ Data Science", Π―Π½Π΄Π΅ΠΊΡ ΠΡΠ°ΠΊΡΠΈΠΊΡΠΌ
User: mark-narusov
roc-auc,Evaluate Machine Learning Models with Yellowbrick
User: marwaeshra
roc-auc,learning python day 6
User: maryamsoftdev
roc-auc,Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data
User: mcabinaya
roc-auc,This project contains the data and code used in the paper: Denter, Nils M.; Aaldering, Lukas Jan; Caferoglu, Huseyin (2022): Forecasting future bigrams and promising patents: Introducing text-based link prediction. In Foresight ahead-of-print (ahead-of-print). DOI: doi.org/10.1108/fs-03-2021-0078.
User: nilsdenter
Home Page: https://doi.org/10.1108/FS-03-2021-0078
roc-auc,Increasing your Reddit karma. Help Reddit Moderators improve karma by autosubmitting posts to the correct subreddit. Reddiquette: Cross-post if it belongs to either or both subs?
User: nirajsaran2
roc-auc,Analysing the telecom customer churn data
User: niranjankumar-c
roc-auc,Building a convolutional neural network for MNIST dataset, including hyperparameter search, dropout regularization, and optimizer selection
User: omidkhorsand
roc-auc,R | Classification Project
User: ozturkfemre
roc-auc,Clustering validation with ROC Curves
User: pajaskowiak
roc-auc,Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
User: pegah-ardehkhani
roc-auc,Predict the intention of customer either subscribing to the product or not.
User: pjbk
roc-auc,Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.
User: pradnya1208
roc-auc,A Data-Driven Approach to Predict the Success of Bank Telemarketing
User: ristovaivona
roc-auc,Sample project of fraud detection using Machine-Learning algorithms and Mathematical tools (roc)
User: ronjacobson
roc-auc,2nd ranked at Cameroon - Fraud Detection in Electricity and Gas Consumption Challenge
User: script-0
roc-auc,In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
User: sharmaroshan
roc-auc,Design of classification model to predict customer churn rate.
User: sharoncastel
roc-auc,Estimated probability models that help target consumers to build brand loyalty
User: shivaniramdas
roc-auc,Using various supervised learning estimators in Sci-Kit Learn to get the best prediction accuracy if possible for the pima indians dataset.
User: shuyib
roc-auc,This is a project demonstrating Logistic Regression method using Python. An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
User: smartnamdevoloper
roc-auc,EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.
User: sraashis
roc-auc,Machine learning utility functions and classes.
User: stefmolin
roc-auc,Kaggle Competition Home Credit Default Risk
User: sunandarsyaputra
roc-auc,Advanced feature selection techniques for selecting the most optimal features for any machine learning models.
User: tattwadarshi
roc-auc,This repository contains some of the machine learning projects I have done.
User: tundejulius17
roc-auc,Data analysis, visualization and prediction for the prevention of heart disease
User: xdiste
roc-auc,This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python
User: znreza
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