svm.default(x = train_data, y = train_label, scale = TRUE, kernel = "radial",
gamma = best_gm, cost = best_ct, cross = 0, probability = TRUE)
Parameters:
SVM-Type: C-classification
SVM-Kernel: radial
cost: 4
gamma: 1e-05
Number of Support Vectors: 75
( 37 38 )
Number of Classes: 2
Levels:
BCR/ABL NEG
这里提示有75个support vectors，是指这个model包含了75个基因是么？如何把这些基因输出来呢？如何看每个基因在这个model的关联强度呢？