Random forest - Wikipedia
Random forests or random decision forests is an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees at training time. For classification tasks, the output of the random forest is the class selected by most trees. For regression tasks, the mean or average prediction of the individual trees is returned.[1][2] Random deci
Orange Data Mining
Data Mining Fruitful and FunOpen source machine learning and data visualization. Download Orange 3.36.2 Jan 11, 2024 Scoring Sheets: Transform Data into Insightful ScoresOrange's Scoring Sheet widget provides explainable machine learning predictions using a simple scoring system. Each feature's influence obtains an integer score, making it easier to understand and communicate the model, crucial in
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