View source: R/fn_spongeffects_utility.R
plot_accuracy_sensitivity_specificity | R Documentation |
list of plots for (1) accuracy and (2) sensitivity + specificity (see Boniolo and Hoffmann 2022 et al. Fig. 3a and Fig. 3b)
plot_accuracy_sensitivity_specificity( trained_model, central_genes_model = NA, all_expression_model = NA, random_model, training_dataset_name = "TCGA", testing_dataset_name = "TCGA", subtypes )
trained_model |
returned from train_and_test_model |
central_genes_model |
returned from build_classifier_central_genes() |
all_expression_model |
training and testing like central_genes_model but on ALL common expression data |
random_model |
returned from train_and_test_model using the randomization |
training_dataset_name |
name of training (e.g., TCGA) |
testing_dataset_name |
name of testing set (e.g., METABRIC) |
subtypes |
array of subtypes (e.g., c("Normal", "LumA", "LumB", "Her2", "Basal")) |
list of plots for (1) accuracy and (2) sensitivity + specificity
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