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"Finding feature importance", "Tuning hyperparameters (using the hyperparameter argument)", "Other models", "Random forest", "Decision tree", "SVM", "Other data", "Multiclass data", "Continuous data", "References" ], "created": "2020-07-01 21:51:50", "modified": "2023-02-15 22:40:45", "commits": 25 }, { "source": "paper.Rmd", "filename": "paper.html", "title": "mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines", "author": "Begüm D. 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