Records of the impact of different parameters on the performance of the classification model - Code World

Records of the impact of different parameters on the performance of the classification model

Enterprise 2023-08-08 19:10:43 views: null

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Origin blog.csdn.net/YOULANSHENGMENG/article/details/120848240

Records of the impact of different parameters on the performance of the classification model

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R language uses the train function of the caret package to build a naive Bayesian model (NB) model to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a KNN proximity algorithm model (KNN) model to build a classification model, trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build an xgboost model (based on the gbtree algorithm) model to build a classification model, trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

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