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This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...
Persistent link: https://www.econbiz.de/10014535259
This paper addresses the steep learning curve in Machine Learning faced by non-computer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage ”once you understand OLS, you can work...
Persistent link: https://www.econbiz.de/10015070152
Persistent link: https://www.econbiz.de/10012222546
spam classification using a fuzzy inference system. Using a rule-based hybrid feature selection technique, we choose the … model for spam classification, and fuzzy logic is employed to categorize each spam class into its severity levels to …
Persistent link: https://www.econbiz.de/10014541613
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-of-sample classification error around three percent. The performance is robust to reductions in the number of features by unsupervised feature …
Persistent link: https://www.econbiz.de/10012545610
classification models. Experimental results show that the stacking model provides high accuracy, Recall, and F1 score compared to the …
Persistent link: https://www.econbiz.de/10014497367
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