Essays about: "beslutsträd"

Showing result 11 - 15 of 52 essays containing the word beslutsträd.

1. 11. Feasibility Study of Implementation of Machine Learning Models on Card Transactions

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

   Author : Samhar Alzghaier; Mervan Can Kaya; [2022]
   Keywords : Processing; Merchant; Acquirer; Customer; Demand Pricing; Dynamic Pricing; Profitability; Machine Learning; Algorithms; Naive-Bayes; AdaBoost; K-Nearest Neighbour; Stochastic Gradient Descent; Decision Trees; Random Forests;

   Abstract : Several studies have been conducted within machine learning, and various variations have been applied to a wide spectrum of other fields. However, a thorough feasibility study within the payment processing industry using machine learning classifier algorithms is yet to be explored. READ MORE

3. 12. Anticipating bankruptcies among companies with abnormal credit risk behaviour : Acase study adopting a GBDT model for small Swedish companies

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

   Author : Simon Heinke; [2022]
   Keywords : Bankruptcy prediction; Credit risk analysis; Abnormal credit risk behaviour; Gradient boosted decision trees; SHAP-values.; Konkurs förutsägelse; Kredit riskanalys; Abnomralt kreditbeteende; Gradient baserat beslutsträd; SHAP-värden.;

   Abstract : The field of bankruptcy prediction has experienced a notable increase of interest in recent years. Machine Learning (ML) models have been an essential component of developing more sophisticated models. Previous studies within bankruptcy prediction have not evaluated how well ML techniques adopt for data sets of companies with higher credit risks. READ MORE

4. 13. Predicting Top-Oil-Temperature in Power Transformers with Light Gradient Boosting Machine

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

   Author : Victor Löfgren; [2022]
   Keywords : ;

   Abstract : Online monitoring of mineral-oil-immersed transformer variables provide capabilities such as failure avoidance, optimization of load capacity and maintenance as well as extending the remaining life expectancy. A central role is played by the Top-Oil-Temperature which in its own is an indicator of harmful events or transformer states. READ MORE

5. 14. Predicting Customer Satisfaction in the Context of Last-Mile Delivery using Supervised and Automatic Machine Learning

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

   Author : Carl Höggren; [2022]
   Keywords : Last-mile Delivery; Customer Satisfaction; Supervised Machine Learning; Automatic Machine Learning; Imbalanced Datasets; Sista-milen Leveranser; Kundnöjdhet; Övervakad Maskininlärning; Automatiserad Maskininlärning; Obalanserade Dataset;

   Abstract : The prevalence of online shopping has steadily risen in the last few years. In response to these changes, last-mile delivery services have emerged that enable goods to reach customers within a shorter timeframe compared to traditional logistics providers. READ MORE

6. 15. Selection Intent Prediction in Online Virtual Environments : A Comparison Study

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

   Author : Charles-Eole Marichal; [2022]
   Keywords : HCI; XR; Selection; Prediction; Online virtual environments; MDI; XR; Urval; Förutsägelse; Virtuella online-miljöer;

   Abstract : In this work, we address the problem of the selection of 3D objects based on the user’s intent to interact with them in online virtual environments, both on desktop and VR devices. In addition to the traditional ray-casting technique, we select four promising techniques from the literature using time-dependent volumetric scoring (IntenSelect), trajectory prediction (KEP), Kalman filters enhancement (KalmanKEP) and machine learning with decision trees (MTP). READ MORE