首页|New Data from Prince Sattam Bin Abdulaziz University Illuminate Research in Mach ine Learning (Prediction of Chemical Compounds Biodegradability: Molecular Finge rprint-Based Machine Learning Models)
New Data from Prince Sattam Bin Abdulaziz University Illuminate Research in Mach ine Learning (Prediction of Chemical Compounds Biodegradability: Molecular Finge rprint-Based Machine Learning Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Prince Sattam Bin Abdulaziz University by NewsRx correspondents, research stated, “This work e valuates the performance of four machine learning models (MLMs): support vector machine (SVM), K-nearest neighbor (KNN), discriminant analysis (DA), and logisti c regression (LR) in predicting the biodegradability of chemicals, a critical fa ctor for assessing environmental risks. For this purpose, the RDKit library was initially employed to extract nine fingerprints from a dataset consisting of 171 7 chemical compounds.” Financial supporters for this research include Prince Sattam Bin Abdulaziz Unive rsity.
Prince Sattam Bin Abdulaziz UniversityCyborgsEmerging TechnologiesMachine LearningSupport Vector Machines
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