Decision tree
Binary decision tree
X-axis: \(x_1\), start:
, end:
Y-axis: \(x_2\), start:
, end:
Feature names:
["x_1", "x_2"]
Examples \((x_1, x_2, ..., x_m, y)\):
[[0,0,0] [1,0,1] [0,1,1] [1,1,0] ]