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Improving accuracy of students' final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique

Jishan, Syed; Rashu, Raisul; Haque, Naheena; Rahman, … - In: Decision Analytics 2 (2015), pp. 1-25

-sampling technique known as the Synthetic Minority Over-Sampling (SMOTE) to improve the accuracy of the students' final grade prediction …

Persistent link: https://www.econbiz.de/10010531019

FuNVol : multi-asset implied volatility market simulator using functional principal components and neural SDEs

Choudhary, Vedant; Jaimungal, Sebastian; Bergeron, Maxime - In: Quantitative finance 24 (2024) 8, pp. 1077-1103

Persistent link: https://www.econbiz.de/10015196872

Class-imbalanced financial distress prediction with machine learning : incorporating financial, management, textual, and social responsibility features into index system

Song, Yinghua; Jiang, Minzhe; Li, Shixuan; Zhao, Shengzhe - In: Journal of forecasting 43 (2024) 3, pp. 593-614

Persistent link: https://www.econbiz.de/10014532365

EWT-SMOTE to improve default prediction performance in imbalanced data : analysis of Chinese data

Zhou, Ying; Lin, Xia; Chi, Guotai; Jin, Peng; Li, Mengtong - In: Journal of forecasting 43 (2024) 3, pp. 615-643

Persistent link: https://www.econbiz.de/10014532372

Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting

Shrivastava, Santosh Kumar; Jeyanthi, P. Mary; Oberoi, … - In: Cogent economics & finance 8 (2020) 1, pp. 1-17

such data. This paper uses a novel approach Synthetic Minority Oversampling Technique (SMOTE) to convert imbalanced data in … imbalanced to balanced form using SMOTE and the choice of the appropriate machine learning techniques to predict the failure of …

Persistent link: https://www.econbiz.de/10012219373

Predicting the failures of prediction markets : a procedure of decision making using classification models

Tai, Chung-Ching; Lin, Hung-Wen; Chie, Bin-Tzong; Tung, … - In: International journal of forecasting 35 (2019) 1, pp. 297-312

Persistent link: https://www.econbiz.de/10012300629

Prediction of the bankruptcy of Slovak companies using neural networks with SMOTE

Tumpach, Miloš; Surovičová, Adriana; Juhászová, Zuzana - In: Ekonomický časopis : časopis pre ekonomickú … 68 (2020) 10, pp. 1021-1039

Persistent link: https://www.econbiz.de/10012591738

SMOTE-based homogeneous prediction for aging-related bugs in cloud-oriented software

Kaur, Harguneet; Kaur, Arvinder - In: Journal of information & knowledge management : JIKM 22 (2023) 5, pp. 1-18

Persistent link: https://www.econbiz.de/10014494680

Ensemble classifiers for bankruptcy prediction using SMOTE and RFECV

Shahana, T.; Lavanya, Vilvanathan; Bhat, Aamir Rashid - In: International journal of enterprise network management … 15 (2024) 1, pp. 109-132

Persistent link: https://www.econbiz.de/10014512994

Effects of resampling techniques on imbalanced data classification : a new under-resampling method

Nguyen, Son; Schumacher, Phyllis; Olinsky, Alan; Quinn, John - In: Advances in business and management forecasting 14 (2021), pp. 51-70

Persistent link: https://www.econbiz.de/10014291699