Benchmarking Machine Learning Models to Predict Corporate Bankruptcy

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Machine Learning for Corporate Bankruptcy Prediction

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Qi Yu Name of the doctoral dissertation Machine Learning for Corporate Bankruptcy Prediction Publisher School of Science Unit Information and Computer Science Department Series Aalto University publication series DOCTORAL DISSERTATIONS 90/2013 Field of research Information and Computer Science Manuscript submitted 10 March 201...

متن کامل

Using Machine Learning, Neural Networks, and Statistics to Predict Corporate Bankruptcy

Recent literature strongly suggests that machine learning approaches to classification outperform “classical” statistical methods. We make a comparison between the performance of linear discriminant analysis, classification trees, and neural networks in predicting corporate bankruptcy. Linear discriminant analysis represents the “classical” statistical approach to classification, whereas classi...

متن کامل

Using Machine Learning ARIMA to Predict the Price of Cryptocurrencies

The increasing volatility in pricing and growing potential for profit in digital currency have made predicting the price of cryptocurrency a very attractive research topic. Several studies have already been conducted using various machine-learning models to predict crypto currency prices. This study presented in this paper applied a classic Autoregressive Integrated Moving Average(ARIMA) model ...

متن کامل

Applying Different Machine Learning Models to Predict Breast Cancer Risk

In this paper, we apply five machine learning models (Logistic Regression, Naive Bayes, LinearSVC, SVM with linear kernel and Random Forest) and three feature selection techniques (PCA, RFE and Heatmap) in one of the key procedures for breast cancer diagnosis. Using the biopsy cytopathology data with 30 numerical features, we achieve a high accuracy of 97.8%. We further compare performances of ...

متن کامل

Predicting Bankruptcy Using Machine Learning Algorithms

This paper is written for predicting Bankruptcy using different Machine Learning Algorithms. Whether the company will go bankrupt or not is one of the most challenging and toughest question to answer in the 21 st Century. Bankruptcy is defined as the final stage of failure for a firm. A company declares that it has gone bankrupt when at that present moment it does not have enough funds to pay t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Social Science Research Network

سال: 2022

ISSN: ['1556-5068']

DOI: https://doi.org/10.2139/ssrn.4249412