Abstract: To address the limitations of existing clustering algorithms for multivariate time series, such as weak spontaneity and poor clustering performance, this paper proposes a multivariate time ...
Abstract: This research aims to develop a phishing detection model using the K-Nearest Neighbors (KNN) algorithm and compare its performance with Decision Tree (DT). With phishing threats on the rise, ...
Overview: Poor data validation, leakage, and weak preprocessing pipelines cause most XGBoost and LightGBM model failures in production.Default hyperparameters, ...
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