glmnet_original<-balanced_sampling_methods_with_ROC(d_train = d_train,
y_train_factor = y_train_factor,
model_method = "glmnet",
fitControl = fitControl,
sampling_method = "original",
family = "binomial")
glmnet_down_sampling<-balanced_sampling_methods_with_ROC(d_train = d_train,
y_train_factor = y_train_factor,
model_method = "glmnet",
fitControl = fitControl,
sampling_method = "down",
family = "binomial")
glmnet_up_sampling<-balanced_sampling_methods_with_ROC(d_train = d_train,
y_train_factor = y_train_factor,
model_method = "glmnet",
fitControl = fitControl,
sampling_method = "up",
family = "binomial")
glmnet_smote_sampling<-balanced_sampling_methods_with_ROC(d_train = d_train,
y_train_factor = y_train_factor,
model_method = "glmnet",
fitControl = fitControl,
sampling_method = "smote",
family = "binomial")
glmnet_weighted_sampling<-balanced_sampling_methods_with_ROC(d_train = d_train,
y_train_factor = y_train_factor,
model_method = "glmnet",
fitControl = fitControl,
sampling_method = "weights",
family = "binomial")
model_list = list("glmnet_original" = glmnet_original,
"glmnet_up_sampling" = glmnet_up_sampling,
"glmnet_down_sampling" = glmnet_down_sampling,
"glmnet_weighted_sampling" = glmnet_weighted_sampling,
"glmnet_smote_sampling" = glmnet_smote_sampling)
plot_multipe_rocs(model_list,
use_test_data = FALSE,
y_test_factor = y_test_factor,
d_with_class_test = d_with_class_test,
variable_of_interest = "ecz")
compare_sampling_approaches_on_test_data(model_list,d_with_class_test)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.