Sökning: "decision tree"

Visar resultat 36 - 40 av 342 uppsatser innehållade orden decision tree.

  1. 36. Forecasting Football Corner Odds: Statistical Modelling, Betting Strategies and Assessing Market Efficiency

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Gustav Pålsson; Marcus Laurens; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : Statistical modelling could be included in a betting strategy where the value of a bet is assessed by comparing model predictions and market odds. This thesis presents several models based on statistical learning methods for predicting the total number of corners in a football match. LÄS MER

  3. 37. Evaluation of Machine Learning Classifiers for Refractory Epilepsy Classification

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ann Abeysekera; Elina Tayebi; [2023]
    Nyckelord :;

    Sammanfattning : Epilepsy is a neurological disease, where up to 40% of patients, known as having refractory epilepsy, do not become seizure-free through antiepileptic drugs (AEDs). Epilepsy surgery has the highest possibility of treating patients with refractory epilepsy, however, many are never referred to surgical evaluation. LÄS MER

  4. 38. A Hybrid Approach to Hate Speech Detection

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Simon Rickardsson; [2023]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  5. 39. Neural Networks for Modeling of Electrical Parameters and Losses in Electric Vehicle

    Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :Yo Fujimoto; [2023]
    Nyckelord :Artificial neural network; machine learning; random forest; deep learning; electric vehicle; decision tree; k-nearest neighbors; permanent magnet synchronous machine;

    Sammanfattning : Permanent magnet synchronous machines have various advantages and have showed the most superiorperformance for Electric Vehicles. However, modeling them is difficult because of their nonlinearity. LÄS MER

  7. 40. Prediction of Persistence to Treatment for Patients with Rheumatoid Arthritis using Deep Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Sammanfattning : 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). LÄS MER