R language | Logistic regression implementation of binary classification and multi-classification - Code World

R language | Logistic regression implementation of binary classification and multi-classification

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R language | Logistic regression implementation of binary classification and multi-classification

R language | Logistic regression implementation of binary classification and multi-classification

R language | Logistic regression implementation of binary classification and multi-classification

R language | Logistic regression implementation of binary classification and multi-classification

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R language uses the lift_curve function of the yardstick package to evaluate the performance of the multiclass (Multiclass) model and view the lift curve (lift curve) of the model on each classification of the multiclass.

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

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Key indicators of SVM binary classification and multi-classification problems (2)

Key indicators of SVM binary classification and multi-classification problems (2)

Key indicators of SVM binary classification and multi-classification problems (2)

Key indicators of SVM binary classification and multi-classification problems (2)

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