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SMART HYBRID MODELS FOR IMPROVED BREAST CANCER DETECTION [PDF]
Proceedings on Engineering SciencesBreast cancer (BC) ranks the second most prevalent cancer among women globally and is the leading cause of female mortality. The conventional method for BC detection primarily relies on biopsy; this might be time-consuming and error prone.
Nageswara Rao Gali +6 more
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Sustainable Investing and the Cross-Section of Maximum Drawdown [PDF]
, 2019 We use supervised learning to identify factors that predict the cross-section of maximum drawdown for stocks in the US equity market. Our data run from January 1980 to June 2018 and our analysis includes ordinary least squares, penalized linear ...
Goldberg, Lisa R., Mouti, Saad
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Methods, 2022 Promoters play an irreplaceable role in biological processes and genetics, which are responsible for stimulating the transcription and expression of specific genes. Promoter abnormalities have been found in some diseases, and the level of promoter-binding transcription factors can be used as a marker before a disease occurs.
Hongfei, Li +6 more
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Medicine Science, 2023 Ovarian cancer is one of the most common types of gynecological malignancies with its high mortality rate, silent and occult tumor growth, late onset of symptoms and diagnosis in advanced stages.
Onural Ozhan +2 more
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Predicting time to graduation at a large enrollment American university
, 2020 The time it takes a student to graduate with a university degree is mitigated by a variety of factors such as their background, the academic performance at university, and their integration into the social communities of the university they attend ...
Aiken, John M. +3 more
core +1 more source
Sales Forecasting using XGBoost
, 2022 <p>This study intends to investigate several machine learning algorithms for sales forecasting strategies. A retailer can use this to predict future market demand and adjust its inventory levels accordingly. The accuracy of these predictions will determine whether the retailer profits or suffers losses.
Siddharth Anoop Srivastava +2 more
openaire +1 more source
Predicting rental listing popularity : 2 Sigma connect Renthop [PDF]
, 2017 Renting a perfect apartment can be a hassle. There are plenty of features people care about when it comes to finding the apartment, such as price, hardwood floor, dog park, laundry room, etc.
Cai, Shiyao
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Learning to Tune XGBoost with XGBoost
, 2019 In this short paper we investigate whether meta-learning techniques can be used to more effectively tune the hyperparameters of machine learning models using successive halving (SH). We propose a novel variant of the SH algorithm (MeSH), that uses meta-regressors to determine which candidate configurations should be eliminated at each round.
Sommer, Johanna +2 more
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, 2021 The XGBoost method has many advantages and is especially suitable for statistical analysis of big data, but its loss function is limited to convex functions. In many specific applications, a nonconvex loss function would be preferable. In this paper, I propose a generalized XGBoost method, which requires weaker loss function constraint and involves ...
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Feature Interactions in XGBoost
, 2020 In this paper, we investigate how feature interactions can be identified to be used as constraints in the gradient boosting tree models using XGBoost's implementation. Our results show that accurate identification of these constraints can help improve the performance of baseline XGBoost model significantly.
Goyal, Kshitij +2 more
openaire +3 more sources