Essays about: "Misclassification Costs"

Found 4 essays containing the words Misclassification Costs.

1. 1. ALS (Airborne Lidar) accuracy: Can potential low data quality of Lidar ground points be modelled/detected based on recorded point cloud characteristics? Case study of 2016 Lidar capture over Auckland, New Zealand

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Gabriela Olekszyk; [2022]
   Keywords : Geography; GIS; Lidar; ALS; Point cloud; Accuracy; Quality; Technology and Engineering;

   Abstract : Gabriela Olekszyk ALS (Airborne Lidar) accuracy: Can potential low data quality of Lidar ground points be modelled/detected based on recorded point cloud characteristics? Case study of 2016 Lidar capture over Auckland, New Zealand. Lidar (Light Detection and Ranging) data is becoming more widely available and accessible. READ MORE

3. 2. Classification of Premium and Non-Premium Products using XGBoost and Logistic Regression

   University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

   Author : Francisco Erazo; Stephany Rojas Gerena; [2022]
   Keywords : XGBoost; Logistic Regression; Classification Algorithms; Food and Beverage; Cost-Sensitive Analysis; SMOTE; Business and Economics;

   Abstract : In the past few years, many industries have become interested in premium product segmentation to achieve higher unit margins. In this paper, we applied machine learning algorithms to predict whether a product is premium or non-premium. READ MORE

4. 3. IN SEARCH OF A PARSIMONIOUS BANKRUPTCY MODEL FOR PRIVATE FIRMS AND THE COST TO LENDERS

   University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Author : John-Edward Olingsberg; Oscar Küntzel; [2019]
   Keywords : Private Default Prediction; Hazard Model; Basel III; Misclassification Costs; Parsimonious;

   Abstract : This paper comprehensively reviews in excess of 200 financial and non-financial covariates in search of a parsimonious bankruptcy prediction model for the private market. Financial and real-estate companies aside, the entire population of Swedish independent, limited liability companies are examined between 1998-2017 corresponding to 245,844 unique companies and 55,411 corporate default events. READ MORE

5. 4. Application of Artificial Intelligence (Artificial Neural Network) to Assess Credit Risk : A Predictive Model For Credit Card Scoring

   University essay from Blekinge Tekniska Högskola/Sektionen för management

   Author : Md. Samsul Islam; Lin Zhou; Fei Li; [2009]
   Keywords : Credit Scoring; Variable Selection; Data Collection and Preparation; Discriminant Analysis; Logistic Regression; Neural Networks; Generic Algorithm; Managerial Implication ;

   Abstract : Credit Decisions are extremely vital for any type of financial institution because it can stimulate huge financial losses generated from defaulters. A number of banks use judgmental decisions, means credit analysts go through every application separately and other banks use credit scoring system or combination of both. READ MORE