HIGHLIGHTS
- who: LENOVO from the Informatics Engineering, Faculty of Computer Science, Universitas Bina Darma, Palembang, Indonesia have published the article: Enhancement Support Vector Regression Using Black Widow Optimization for Predicting Foreign Exchange Rate, in the Journal: (JOURNAL)
- what: Hybrid SVR and BWO performance increased in R2 score from 0.971317 to 0.9899, MSE score from 0.000007015 to 0.00000267, MAPE score from 0.00260564 to 0.00105, MAE score from 0.00189076 to 0.00116, and RMSE scores from 0.00208029 to 0.00163 compared to the SVR algorithm.
SUMMARY
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