Essays about: "tree classifier"

Showing result 6 - 10 of 49 essays containing the words tree classifier.

  1. 6. 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

  3. 7. A COMPARATIVE ANALYSIS OF NLP ALGORITHMS FOR IMPLEMENTING AI CONVERSATIONAL ASSISTANTS : Comparative Analysis of NLP Algorithms for NLI

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Aanchal Upreti; [2023]
    Keywords : Software Engineering;

    Abstract : The rapid adoption of low-code/no-code software systems has reshaped the landscape of software development, but it also brings challenges in usability and accessibility, particularly for those unfamiliar with the specific components and templates of these platforms. This thesis targets improving the developer experience in Nokia Corporation's low-code/no-code software system for network management through the incorporation of Natural Language Interfaces (NLIs) using Natural Language Processing (NLP) algorithms. READ MORE

  4. 8. A Hybrid Approach to Hate Speech Detection

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Simon Rickardsson; [2023]
    Keywords : ;

    Abstract : An interesting question is to what extent can background knowledge help in the context of text classification. To address this in more detail, can a traditional rulebased classifier help boost the accuracy of learned models? We explore this here for detecting hate speech and offensive language in online text. READ MORE

  5. 9. Prediction of Persistence to Treatment for Patients with Rheumatoid Arthritis using Deep Learning

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

    Author : Serkan Arda Yilal; [2023]
    Keywords : Variational Autoencoders; Rheumatoid Arthritis; Precision Medicine; Treatment Prediction; Deep Learning; Supervised Learning; Rheumatoid Artrit; Precisionsmedicin; Behandlingsförutsägelse; Djupinlärning; Övervakat lärande;

    Abstract : Rheumatoid Arthritis is an inflammatory joint disease that is one of the most common autoimmune diseases in the world. The treatment usually starts with a first-line treatment called Methotrexate, but it is often insufficient. One of the most common second-line treatments is Tumor Necrosis Factor inhibitors (TNFi). READ MORE

  6. 10. Exploring Alarm Data for Improved Return Prediction in Radios : A Study on Imbalanced Data Classification

    University essay from Uppsala universitet/Matematiska institutionen

    Author : Sofia Färenmark; [2023]
    Keywords : Imbalanced data classification; LASSO; Boruta; SVM; RFC; neural network; decision tree; AUC; AUPRC;

    Abstract : The global tech company Ericsson has been tracking the return rate of their products for over 30 years, using it as a key performance indicator (KPI). These KPIs play a critical role in making sound business decisions, identifying areas for improvement, and planning. READ MORE