Essays about: "CatBoost"

Found 4 essays containing the word CatBoost.

  1. 1. Modelling default probabilities: The classical vs. machine learning approach

    University essay from KTH/Matematisk statistik; KTH/Matematisk statistik

    Author : Filip Jovanovic; Paul Singh; [2020]
    Keywords : Machine learning; gradient boosting; pd-modelling; CatBoost; Random Forest; Logistic Regression; Maskininlärning; gradient boosting; fallissemangmodellering; CatBoost; Random Forest; Logistisk Regression;

    Abstract : Fintech companies that offer Buy Now, Pay Later products are heavily dependent on accurate default probability models. This is since the fintech companies bear the risk of customers not fulfilling their obligations. READ MORE

  2. 2. Predicting profitability of new customers using gradient boosting tree models : Evaluating the predictive capabilities of the XGBoost, LightGBM and CatBoost algorithms

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Mathias Kinnander; [2020]
    Keywords : Gradient tree boosting; XGBoost; LightGBM; CatBoost; prediction; profitability; online retail;

    Abstract : In the context of providing credit online to customers in retail shops, the provider must perform risk assessments quickly and often based on scarce historical data. This can be achieved by automating the process with Machine Learning algorithms. READ MORE

  3. 3. Predicting House Prices on the Countryside using Boosted Decision Trees

    University essay from KTH/Matematisk statistik

    Author : War Revend; [2020]
    Keywords : Machine Learning; Predicting House Prices; Shrinkage Methods; Random Forest; Decision Tree; AdaBoost; Gradient Boosting; LightGBM; CatBoost; XGBoost; Maskininlärning; Förutseende av Huspriser; Krympningsmetoder; Random Forest; Beslutsträd; AdaBoost; Gradient Boosting; LightGBM; CatBoost; XGBoost;

    Abstract : This thesis intends to evaluate the feasibility of supervised learning models for predicting house prices on the countryside of South Sweden. It is essential for mortgage lenders to have accurate housing valuation algorithms and the current model offered by Booli is not accurate enough when evaluating residence prices on the countryside. READ MORE

  4. 4. Prediction of Optimal Packaging Solution using Supervised Learning Methods

    University essay from KTH/Matematisk statistik

    Author : Anirudh Venkat Chari; [2020]
    Keywords : Supervised learning; machine learning; product packaging; logistics; Övervakade inlärningsmodeller; förpackningslösning; logistik; maskininlärning;

    Abstract : This thesis investigates the feasibility of supervised learning models in the decision-making problem to package products and predict an optimal packaging solution. The decision-making problem was broken down into a multi-class classification and a regression problem using relevant literature. READ MORE