Based on the decision tree for breast cancer diagnosis through the link above, what is the predicted diagnosis for the breast cancer patient whose tumor image has the following features:
texture_mean = 20
texture_worst = 24
perimeter_worst = 110
concave points_mean = 0.05
concave points_worst = 0.17
Among the statements below, select the (one) correct statement regarding the prediction for the patient and the terminal node this case will land on.
Group of answer choices
The patient has cancer, based on the node with value [0, 123].
The patient has cancer, based on the node with value [2, 9].
The patient has cancer, based on node with value [4, 13].
The patient has cancer, base on the node with value [0, 6].
perimeter_worst <= 106.05 entropy = 0.95 samples = 426 value = [269,157]
True
False
concave points_worst <=0.161 entropy = 0.253 samples = 260 value = [249,11]
concave points_mean <=0.049 entropy =0.531 samples = 166 value=[20,146]
symmetry_se <= 0.017 entropy =0.141 samples = 252 value = [247,5]
texture_worst <= 23.47 entropy =0.811 samples = 8 value = [2, 6]
texture_mean <= 19.545 entropy =0.961 samples = 26 value= [16,10]
perimeter_worst <=113.5 entropy=0.187 samples = 140 value = [4,136]
entropy = 0.31 samples=90 value = [85, 5]
entropy =0.0 samples = 162 value = [162,0]
entropy = 0.0 samples = 2 value= [2,0]
entropy = 0.0 samples = 6 value = [0, 6]
entropy =0.353 samples = 15 value = [14, 1]
entropy = 0.684 samples = 11 value = [2, 9]
entropy = 0.787 samples=17 value = [4, 13]
entropy = 0.0 samples = 123 value = [0,123]
