American Psychological Association 6th edition

Arora, I. (2025). Explanation of Prediction of Machine Learning Models Using Local Interpretable Model-Agnostics Explanation and SHapley Additive ex Planations With Case Study of Credit Card Defaulters. Cureus Journal of Computer Science, 2(1). https://doi.org/10.7759/s44389-025-05988-x

ISO-690 (author-date, English)

ARORA, Indu, 2025. Explanation of Prediction of Machine Learning Models Using Local Interpretable Model-Agnostics Explanation and SHapley Additive ex Planations With Case Study of Credit Card Defaulters. Cureus Journal of Computer Science. 1 September 2025. Vol. 2, no. 1, . DOI 10.7759/s44389-025-05988-x.

Modern Language Association 9th edition

Arora, I. „Explanation of Prediction of Machine Learning Models Using Local Interpretable Model-Agnostics Explanation and SHapley Additive Ex Planations With Case Study of Credit Card Defaulters“. Cureus Journal of Computer Science, Bd. 2, Nr. 1, September 2025, https://doi.org/10.7759/s44389-025-05988-x.

Mohr Siebeck - Recht (Deutsch - Österreich)

Arora, Indu: Explanation of Prediction of Machine Learning Models Using Local Interpretable Model-Agnostics Explanation and SHapley Additive ex Planations With Case Study of Credit Card Defaulters, Cureus Journal of Computer Science 2025,

Emerald - Harvard

Arora, I. (2025), „Explanation of Prediction of Machine Learning Models Using Local Interpretable Model-Agnostics Explanation and SHapley Additive ex Planations With Case Study of Credit Card Defaulters“, Cureus Journal of Computer Science, Vol. 2 No. 1, verfügbar unter:https://doi.org/10.7759/s44389-025-05988-x.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.