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In this study, the xgboost package for Python 3 is used to build the XGBoost classifier. The K-nearest neighbor classification rule was first proposed by Cover et al. (Cover and Hart 1967), in which ...

Abstract: This paper presents a new classification algorithm consisting of a Weighted SVMs approach (WSVM) to identify data class, and a locally Tuning kNN (TkNN) to address the rejected case. Basic ...

SimilariPy is primarily designed for Recommender Systems and Information Retrieval (IR) tasks, but can be applied to other domains as well. The package also includes a set of normalization functions ...

Abstract: KNN is one of the most popular data mining methods for classification, but it often fails to work well with inappropriate choice of distance metric or due to the presence of numerous ...

Ce projet vise à segmenter les clients en fonction de leurs habitudes d'achat, leur ancienneté et leur récence. Grâce à KMeans, nous avons identifié 3 groupes distincts qui permettent une meilleure ...

Learn how to classify sleep stages using EEG data with Python, MNE, and Scikit-learn in this step-by-step guide. House GOP fails to pass tax and spending bill after key committee vote Game of ...