random forest algorithm
Ciência da Computação
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substantivo
Contexto: "In order to be more accurate about the results the experiments were conducted by using 4 classification algorithms obtained by sklearn libraries for python (18). Those algorithms were: Random Forest, Logistic Regression, MLP classifier and Linear SVC."
Fonte: Apostolou, K., & Tjortjis, C. (2019, July). Sports Analytics algorithms for performance prediction. In 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) (pp. 1-4). IEEE.
Fonte: Apostolou, K., & Tjortjis, C. (2019, July). Sports Analytics algorithms for performance prediction. In 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) (pp. 1-4). IEEE.
Termo equivalente: algoritmo random forest
Definição: "Random Forest is an algorithm that fits a number of decision tree classifiers on a variety of different sub-cases of the data and improves the mean prediction accuracy and controls the overfitting"
Fonte: (Zahedi, P., Parvandeh, S., Asgharpour, A., McLaury, B. S., Shirazi, S. A., & McKinney, B. A. (2018). Random forest regression prediction of solid particle Erosion in elbows. Powder Technology, 338, 983-992.
Fonte: (Zahedi, P., Parvandeh, S., Asgharpour, A., McLaury, B. S., Shirazi, S. A., & McKinney, B. A. (2018). Random forest regression prediction of solid particle Erosion in elbows. Powder Technology, 338, 983-992.
Definição em português: "Random Forest é um algoritmo que ajusta um número de classificadores de decisões em cadeia numa variedade de diferentes sub-casos dos dados e melhora a precisão da previsão média e controla o sobreajuste"