Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets ...
Abstract: Cancer is a heterogeneous disease that can spread to any body part. Breast cancer is one of the most dangerous cancers among women, contributing significantly to mortality worldwide. This ...
NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Breast cancer poses a significant global health challenge, requiring improved ...
Dataset Selection & Preprocessing A multi-class dataset from the UCI library was used. The dataset had between 5k to 30k rows. The dataset was split into 10 random 70-30 train-test splits, labeled S1 ...
R scripts for RF and RBF-SVM for Acute Myeloid Leukemia subtypes multiclass classification using gene expression profiles. LASSO feature selection, SMOTE sampling, 10-fold cross-validation, variable ...
Introduction: Excessive alcohol consumption negatively impacts physical and psychiatric health, lifestyle, and societal interactions. Chronic alcohol abuse alters brain structure, leading to alcohol ...
Introduction: Acute kidney injury (AKI) is notably prevalent after cardiac surgery for patients with active infective endocarditis. This study aims to create a machine learning model to predict AKI in ...
Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...
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