Titlebook: Advances in Electrical and Computer Technologies; Select Proceedings o Thangaprakash Sengodan,M. Murugappan,Sanjay Misra Conference proceed

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Mustafa Aksakal,Kerstin Schmidt36, whereas, SVM had an accuracy of 85.74%, a precision of 85.62%, a recall of 100%, and an AUC of 0.5. It was observed that there are more positive sentiments and satisfaction obtained from these products as against the negative sentiments. Hence, the level of satisfaction on these products reflect

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Electron Spin Resonance Spectroscopy,l to its ability to forecast profits accurately, big marts are looking for a more reliable prediction algorithm to ensure that the company does not lose money. This study explores how extreme gradient boosting (XGBoost) can be used to forecast sales. Walmart stores sales data that were collected fro

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XANES, EXAFS and Related Techniques, such as Naive Bayes (NB), support vector machine (SVM), logistic regression (LR), random forest (RF). Feature selection method such as Spearman’s rank correlation is used for selecting highly correlated input variables. Dimensionality reduction methods such as LDA and PCA are used for reducing the

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A Multi-criteria Decision-Making Approach to Analyze Python Code Smells,978-3-642-99234-6

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