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1 Ergebnisse
1
Interpretable Machine Learning Model for Breast Cancer Pred..:
, In:
2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
,
Maheswari, B Uma
;
A, Aaditi
;
Avvaru, Ananya
.. - p. 1-6 , 2024
Link:
https://doi.org/10.1109/I2CT61223.2024.10543965
RT T1 <cTitle>2024 IEEE 9th International Conference for Convergence in Technology (I2CT)</cTitle>: T1 <Title>Interpretable Machine Learning Model for Breast Cancer Prediction Using LIME and SHAP</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10543965&Exemplar=1&LAN=DE A1 Maheswari, B Uma A1 A, Aaditi A1 Avvaru, Ananya A1 Tandon, Aryan A1 de Prado, R. Perez YR 2024 K1 Support vector machines K1 Visualization K1 Machine learning algorithms K1 Explainable AI K1 Predictive models K1 Prediction algorithms K1 Breast cancer K1 Machine Learning K1 Breast Cancer K1 Feature Importance K1 PCA K1 SMOTE K1 SHAP K1 LIME SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/I2CT61223.2024.10543965 DO https://doi.org/10.1109/I2CT61223.2024.10543965 SF ELIB - SuUB Bremen
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