Sökning: "Misclassification Costs"
Hittade 5 uppsatser innehållade orden Misclassification Costs.
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
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : 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. LÄS MER
2. Classification of Premium and Non-Premium Products using XGBoost and Logistic Regression
Magister-uppsats, Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionenSammanfattning : 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. LÄS MER
3. Om att bedöma formler för att formulera bedömningar : En kvantitativ studie om precisionen i revisorers fortlevnadsbedömningar och konkursprediktionsmodeller
Magister-uppsats, Linköpings universitet/Institutionen för ekonomisk och industriell utvecklingSammanfattning : Revisorer i Sverige har i tidigare studier funnits restriktiva med att ge ut fortlevnadsvarningar till konkursbolag. Det saknas studier om huruvida konkursprediktionsmodeller gör bättre förutsägelser än revisorer i Sverige med hänsyn till kostnader för missklassificeringar (EMC). LÄS MER
4. IN SEARCH OF A PARSIMONIOUS BANKRUPTCY MODEL FOR PRIVATE FIRMS AND THE COST TO LENDERS
D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiSammanfattning : 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. LÄS MER
5. Application of Artificial Intelligence (Artificial Neural Network) to Assess Credit Risk : A Predictive Model For Credit Card Scoring
Magister-uppsats, Blekinge Tekniska Högskola/Sektionen för managementSammanfattning : 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. LÄS MER