Sökning: "ROC-curve"

Visar resultat 1 - 5 av 32 uppsatser innehållade ordet ROC-curve.

1. 1. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Dhanush Janapareddy; Narendra Chowdary Yenduri; [2023]
   Nyckelord :Machine Learning; Logistic Regression; Random Forest; Support Vector Machine; Ensemble Learning Bagging.;

   Sammanfattning : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. LÄS MER

3. 2. Detecting Fraud in Affiliate Marketing: Comparative Analysis of Supervised Machine Learning Algorithms

   Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Oskar Ahlqvist; [2023]
   Nyckelord :Fraud detection; Machine learning; Random Forest; support vector machine; Logistic Regression; Classification models; Affiliate marketing;

   Sammanfattning : Affiliate marketing has become a rapidly growing part of the digital marketing sector. However, fraud in affiliate marketing raises a serious threat to the trust and financial stability of the involved parties. LÄS MER

4. 3. Identification, investigation and prediction of post-COVID phenotypes : Using Cluster analysis and Ordinal logistic regression to determine severity of post-COVID

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Sara Malmquist; Oliver Rykatkin; [2023]
   Nyckelord :K-means; Ordinal logistic regression; Backwards deletion; PCS score; Post-COVID; ROC curve;

   Sammanfattning : It is believed that a large number of people experience remaining symptoms after COVID-19, so-called post-COVID. The formal definition and diagnostic criteria of post-COVID have been a scientific controversy. So far, there is no reliable system for distinguishing the severity of post-COVID. LÄS MER

5. 4. Application of the Merton Model and the Altman Z-score Model in Credit Risk Assessment - an Empirical Study on Chinese Listed Companies

   Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

   Författare :Runzhou Chen; Hongzhe Fu; [2023]
   Nyckelord :Credit risk assessment; the Merton Model; The Altman Z-score model; Chinese market; Business and Economics;

   Sammanfattning : Corporate default poses significant risks to investors and stakeholders, highlighting the importance of predicting and managing financial risk effectively. When the geographical scope is narrowed down to China, the unique characteristics of the Chinese market, such as the lack of comprehensive credit risk databases and the influence of state-owned enterprises and small-medium enterprises, present challenges in accurately assessing creditworthiness. LÄS MER

7. 5. Employee Turnover Prediction - A Comparative Study of Supervised Machine Learning Models

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Suvoj Reddy Kovvuri; Lydia Sri Divya Dommeti; [2022]
   Nyckelord :Machine Learning; Employee Turnover Prediction; Supervised Learn- ing Models; Logistic Regression; Naive Bayes Classifier; Random Forest Classifier; XGBoost;

   Sammanfattning : Background: In every organization, employees are an essential resource. For several reasons, employees are neglected by the organizations, which leads to employee turnover. Employee turnover causes considerable losses to the organization. LÄS MER