Essays about: "Decision Tree"

Showing result 26 - 30 of 301 essays containing the words Decision Tree.

1. 26. A Comparative Analysis of Decision Tree Models in Identifying Landslide Susceptibility and Type Classification

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Levi Jan Zuiverloon; [2023]
   Keywords : Landslides; landslide susceptibility mapping; Random Forest; Extreme Gradient Boosting; machine learning models; multiclass classification; binary classification; risk assessment; mitigation strategies; Italy; Aosta Valley; infrastructure vulnerability; supervised learning algorithms; Earth and Environmental Sciences;

   Abstract : Landslides pose a significant risk to human life and infrastructure, especially in Italy, which has a high frequency of landslide occurrences. To mitigate these hazards, Landslide Susceptibility Mapping (LSM) is crucial for identifying risk areas and developing appropriate mitigation strategies. READ MORE

3. 27. Automatic Analysis of Peer Feedback using Machine Learning and Explainable Artificial Intelligence

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

   Author : Kevin Huang; [2023]
   Keywords : Text classification; Peer feedback; Explainable Artificial Intelligence; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM education; Textklassificering; Feedback till kamrater; Förklarig Artificiell Intelligens; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM-utbildning;

   Abstract : Peer assessment is a process where learners evaluate and provide feedback on one another’s performance, which is critical to the student learning process. Earlier research has shown that it can improve student learning outcomes in various settings, including the setting of engineering education, in which collaborative teaching and learning activities are common. READ MORE

4. 28. Optimizing Load Balancing inRaytracing for Radio Frequency PropagationPredictive models developed for simulation systems

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Wenhao Zhu; [2023]
   Keywords : ;

   Abstract : This thesis presents two predictive models with the aim of pre-allocating memory efficiently in the Ericsson Radio Frequency Propagation Simulation System through the prediction model, so as to achieve the effect of load balancing. The proposed approaches utilize interpolation and the Gradient Boosting Decision Tree (GBDT) method from machine learning for prediction and  apply both methods in multiple test scenarios. READ MORE

5. 29. ML enhanced interpretation of failed test result

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

   Author : Hiranmayi Pechetti; [2023]
   Keywords : Data Parsing; Machine Learning; Log file Analysis; Text Classification; Supervised Classification; Dataanalys; maskininlärning; loggfilsanalys; textklassificering; Övervakad klassificering;

   Abstract : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. READ MORE

6. 30. Predicting the threshold grade for university admission through Machine Learning Classification Models

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

   Author : Anas Almawed; Anton Victorin; [2023]
   Keywords : Admission data; Data Classification; Machine Learning; Logistic Regression; Support Vector Machine; Decision Tree Classifier; Random Forest; Antagningsdata; Dataklassificering; Maskininlärning; Logistic Regression; Support Vector Machine; Decision Tree Classifier; Random Forest;

   Abstract : Higher-level education is very important these days, which can create very high thresholds for admission on popular programs on certain universities. In order to know what grade will be needed to be admitted to a program, a student can look at the threshold from previous years. READ MORE