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The package implements 86 variants of the Synthetic Minority Oversampling Technique (SMOTE). Besides the implementations, an easy to use model selection framework is supplied to enable the rapid ...
So if you have 5 fraud cases and 500 normal ones — SMOTE doesn't repeat those 5. It creates synthetic samples by interpolating between a data point and its nearest minority-class neighbors. 𝐖𝐨𝐫𝐤𝐬 ...
This project focused on detecting wash trading in NFT markets using synthetic data and ensemble machine learning technique. It include feature engineering, handling data imbalance, model training, and ...
Correspondence to Dr Alex Griffiths, London School of Economics and Political Science, Centre for Analysis of Risk and Regulation, London WC2A 2AE, UK; a.griffiths{at}lse.ac.uk Background The Care ...
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Highlights Research is conducted on students in rehabilitation education, an understudied population. Three groups of vocational interests in rehabilitation education are identified: The ...