0
我训练一个模型与下面的代码,但是,我找不到我怎么能改变调谐网格,因为FL和调整持续在特定的值(我的数据集是分类)调整朴素贝叶斯分类器在R用插入符号
Activity_nb <- train(Actx, Acty,data = Dact, method = "nb", trControl = myc1,metric = "Accuracy",importance = TRUE)
Naive Bayes
2694 samples
4 predictor
4 classes: 'CC', 'CE', 'CW', 'HA'
No pre-processing
Resampling: Cross-Validated (10 fold)
Summary of sample sizes: 2425, 2424, 2426, 2425, 2425, 2423, ...
Resampling results across tuning parameters:
usekernel Accuracy Kappa
FALSE 0.8165804 0.6702313
TRUE 0.8165804 0.6702313
Tuning parameter 'fL' was held constant at a value of 0
Tuning parameter 'adjust' was held constant at a value of 1
Accuracy was used to select the optimal model using the largest value.
The final values used for the model were fL = 0, usekernel = FALSE and adjust = 1.
请解释一下 –