Essays about: "gradient boosting regression tree"

Showing result 1 - 5 of 12 essays containing the words gradient boosting regression tree.

1. 1. Evaluation of Machine Learning Classifiers for Refractory Epilepsy Classification

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

   Author : Ann Abeysekera; Elina Tayebi; [2023]
   Keywords : ;

   Abstract : 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. READ MORE

3. 2. Modeling Melodic Accents in Jazz Solos

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

   Author : Misael Berrios Salas; [2023]
   Keywords : Accents; Jazz Solo; Support Vector Regression SVR ; eXtreme Gradient Boosting XGBoost ; Multiple Linear Regression MLR ; Dynamic; Accenter; Jazz Solos; Support Vector Regression SVR ; eXtreme Gradient Boosting XGBoost ; Multiple Linear Regression MLR ; Dynamisk;

   Abstract : This thesis looks at how accurately one can model accents in jazz solos, more specifically the sound level. Further understanding the structure of jazz solos can give a way of pedagogically presenting differences within music styles and even between performers. Some studies have tried to model perceived accents in different music styles. READ MORE

4. 3. Predicting IPO Underpricing: A study on the predictability of IPO underpricing through machine learning algorithms

   University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

   Author : Victor Holgersson; Axel Tardell; [2023]
   Keywords : IPO Underpricing; Machine Learning; Neural Network; Random Forest; Gradient-Boosting Trees;

   Abstract : This paper primarily serves to examine whether a specific subset of variables, derived from publicly available pre-IPO data, can be effectively modeled to predict and classify if an IPO will be underpriced using non-linear machine learning (ML) models. Secondly, we analyze whether the performance of ML-based models is greater compared to conventional linear models. READ MORE

5. 4. Prediction of Stock Returns Using Accounting Data with a Machine Learning Approach

   University essay from Göteborgs universitet/Graduate School

   Author : Ludvig Ekmark; Tobias Frisell; [2022-06-30]
   Keywords : Stock price prediction; Accounting data; Machine learning; Gradient boosting decision trees; CatBoost classifier; Logistic regression; Feature importance;

   Abstract : The relationship between accounting data and stock price prediction has been a hot topic for over half a century. Researchers have been trying to identify the relationship and investigate how it may be useful when trying to improve prediction accuracy. READ MORE

6. 5. Using Gradient Boosting to Identify Pricing Errors in GLM-Based Tariffs for Non-life Insurance

   University essay from KTH/Matematik (Avd.)

   Author : Felix Greberg; Andreas Rylander; [2022]
   Keywords : GLM; Gradient Boosting; XGBoost; Non-life insurance; Property Casualty; Rate making; Insurance Tariff; MTPL insurance; Machine learning; Regression trees; Tweedie regression; Credit risk; GLM; Gradient Boosting; XGBoost; Skadeförsäkring; Prissättning; Försäkringstariff; Trafikförsäkring; Regressionsträd; Maskininlärning; Tweedie-regression; Kreditrisk;

   Abstract : Most non-life insurers and many creditors use regressions, more specifically Generalized Linear Models (GLM), to price their liabilities. One limitation with GLMs is that interactions between predictors are handled manually, which makes finding interactions a tedious and time-consuming task. READ MORE