Essays about: "Feature Selection."

Showing result 11 - 15 of 284 essays containing the words Feature Selection..

1. 11. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Love Marcus; [2023]
   Keywords : User churn; Customer attrition; Artificial neural networks; Log-level analysis; Random forests; Decision trees; Användarbortfall; Kundbortfall; Artificiella neurala nätverk; logganalys; Slumpskogar; Beslutsträd;

   Abstract : User retention is a critical aspect of any business or service. Churn is the continuous loss of active users. A low churn rate enables companies to focus more resources on providing better services in contrast to recruiting new users. READ MORE

3. 12. Counterfactual and Causal Analysis for AI-based Modulation and Coding Scheme Selection

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Kun Hao; [2023]
   Keywords : Explainable Artificial Intelligence; Counterfactual; Causal Analysis; Shapley Additive Explanations; Modulation and Coding Scheme; Förklarlig artificiell intelligens; kontrafaktisk analys; orsaksanalys; Shapley tillsatsförklaringar; modulerings och kodningsschema;

   Abstract : Artificial Intelligence (AI) has emerged as a transformative force in wireless communications, driving innovation to address the complex challenges faced by communication systems. In this context, the optimization of limited radio resources plays a crucial role, and one important aspect is the Modulation and Coding Scheme (MCS) selection. READ MORE

4. 13. Probability of Default Machine Learning Modeling : A Stress Testing Evaluation

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Tobias Andersson; Mattias Mentes; [2023]
   Keywords : Probability of Default; Machine Learning; Stress Testing; Logistic Regression; Decision Tree; Random Forest; Artificial Neural Network;

   Abstract : This thesis aims to assist in the development of machine learning models tailored for stress testing. The main objective is to create models that can predict loan defaults while considering the impact of macroeconomic stress. READ MORE

5. 14. Auto-scaling Prediction using MachineLearning Algorithms : Analysing Performance and Feature Correlation

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Syed Saif Ahmed; Harshini Devi Arepalli; [2023]
   Keywords : Cloud Computing; Predictive Auto-Scaling; Machine Learning; Data Correlation;

   Abstract : Despite Covid-19’s drawbacks, it has recently contributed to highlighting the significance of cloud computing. The great majority of enterprises and organisations have shifted to a hybrid mode that enables users or workers to access their work environment from any location. READ MORE

6. 15. Evaluating a LSTM model for bankruptcy prediction with feature selection

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Emma Carlsson; [2023]
   Keywords : Feature selection; Bankruptcy prediction; Neural networks; LSTM; Chi-squared; t-test; Stepwise regression; Lasso regression; Random forest;

   Abstract : Bankruptcy prediction is an important research topic. The cost of incorrect decision making in companies and financial institutions can be great and could affect large parts of society. But while it is indeed a major research area, there are few studies which consider the effects of feature selection. READ MORE