Search Results - subject:"Logistic regression"

Application of support vector machine algorithm for early differential diagnosis of prostate cancer

Akinnuwesi, Boluwaji A.; Olayanju, Kehinde A.; … - In: Data science and management : DSM 6 (2023) 1, pp. 1-12

receiver operating characteristic (ROC) curve (AUC) of the logistic regression (LR) model trained with the downsampled dataset …

Persistent link: https://www.econbiz.de/10014517987

Bitcoin price prediction : a machine learning sample dimension approach

Ranjan, Sumit; Kayal, Parthajit; Saraf, Malvika - In: Computational economics 61 (2023) 4, pp. 1617-1636

Persistent link: https://www.econbiz.de/10014327096

From alchemy to analytics : unleashing the potential of technical analysis in predicting noble metal price movement

Chlebus, Marcin; Nowak, Artur - 2023

Persistent link: https://www.econbiz.de/10014307816

Determinants of corporate governance compliance : what matters and what does not?

Tanjung, Miranda - In: Journal of business and socio-economic development 3 (2023) 3, pp. 237-252

. Design/methodology/approach Employing a logistic regression model, this paper analyzes the CG index of high-compliance vs …

Persistent link: https://www.econbiz.de/10014309282

Quarterly multidimensional poverty estimates in Mexico using machine learning algorithms

Rincón, Ratzanyel - In: Estudios económicos 38 (2023) 1, pp. 3-68

Persistent link: https://www.econbiz.de/10014280115

The relationship between behavioral tendencies and stock market participation : a study for accounting and finance academics

Çavuşoğlu, Abdulvahid; Ekši, İbrahim Halil; Şit, Ahmet - In: Istanbul business research 52 (2023) 1, pp. 47-65

, were analyzed using logistic regression and chi-square test. As a result of the analyzes conducted in this study, it was …

Persistent link: https://www.econbiz.de/10014330359

Indigenous and improved adaptation technologies in response to climate change adaptation and barriers among smallholder farmers in the East Wollega Zone of Oromia, Ethiopia

Bekuma, Teka; Mamo, Girma; Regassa, Alemayehu - In: Research in globalization 6 (2023), pp. 1-9

adaptation was conducted using binary logistic regression model. The fitness and accuracy of the model were examined using an … agrochemicals, and soil and water conservation methods. The binary logistic regression model's findings showed that access to …

Persistent link: https://www.econbiz.de/10014331237

Bankruptcy prediction for micro and small enterprises using financial, non-financial, business sector and macroeconomic variables : the case of the Lithuanian construction sector

Kanapickienė, Rasa; Kanapickas, Tomas; Nečiūnas, Audrius - In: Risks : open access journal 11 (2023) 5, pp. 1-33

classification models used. To develop the EBP models, logistic regression (LR), artificial neural networks (ANNs) and multivariate …

Persistent link: https://www.econbiz.de/10014334422

Prediction and analysis of customer complaints using machine learning techniques

Alarifi, Ghadah; Rahman, Mst Farjana; Hossain, Md Shamim - In: International journal of e-business research : IJEBR ; … 19 (2023) 1, pp. 1-25

Persistent link: https://www.econbiz.de/10015051113

The impact of equity funding dynamics on venture success : an empirical analysis based on crunchbase data

Deias, Anna; Magrini, Alessandro - In: Economies : open access journal 11 (2023) 1, pp. 1-15

successful exit. In this article, we develop a multinomial logistic regression model based on the Crunchbase 2013 Snapshot that …

Persistent link: https://www.econbiz.de/10013500686