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Подзаряд
| Глоссарий технических терминов |
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Boosting, английский
See: adaboost. bootstrap aggregation (bagging) bagging is a form of arcing first suggested for use with bootstrap samples. in bagging, a series of rules for a prediction or classification problem are developed by taking repeated bootstrap samples from the training set and developing a predictor/classifier from each bootstrap sample. the final predictor aggregates all the models, using an average or majority rule to predict/classify future observations. see also: arcing.
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Boosting, английский
See: adaboost. bootstrap aggregation (bagging) bagging is a form of arcing first suggested for use with bootstrap samples. in bagging, a series of rules for a prediction or classification problem are developed by taking repeated bootstrap samples from the training set and developing a predictor/classifier from each bootstrap sample. the final predictor aggregates all the models, using an average or majority rule to predict/classify future observations. see also: arcing.
Predicting, английский
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