Addressing misclassification costs in machine learning through asymmetric loss functions
Patterning defect metrology requires data interpretation with classification, each well-suited
to machine learning (ML). Defect classification however has notable misclassification costs; …
to machine learning (ML). Defect classification however has notable misclassification costs; …
Modern Approaches To Forecasting Firm Default Rates Over The Short To Medium Term: An Application To A Panel Of Polish Companies
A Gerunov - Годишник на Стопанския факултет на СУ „Св …, 2023 - ceeol.com
This paper models Polish companies default rates over the period 2000 to 2013, using eight
leading classification algorithms–logistic regression, linear discriminant analysis, neural …
leading classification algorithms–logistic regression, linear discriminant analysis, neural …
Econometrics and Machine Learning: A Review of Choice Models and Classification Algorithms
Both econometrics and machine learning operate in a broad area of study. Therefore, this
paper limits the scope to where the dependent variable is categoric and investigates the …
paper limits the scope to where the dependent variable is categoric and investigates the …
[引用][C] Ekonometri ve Makine Öğrenmesi: Tercih Modelleri ve Sınıflandırma Algoritmaları Açısından Değerlendirmeler
E Türküz, E ÇAĞLAYAN AKAY - 2020