Answer to Question #64448 in MatLAB | Mathematica | MathCAD | Maple for lolo
Question #64448
Write a general matlab program for growing a binary tree and use it to train a tree fully
using the data from the three categories in the table, using an entropy impurity.
(a) Use the (unpruned) tree to classify the following patterns: {A,E, I, L,N},
{D,E, J,K,N}, {B,F, J,K,M}, a nd {C,D, J, L,N}.
(b) Prune one pair of leafs, increasing the entropy impurity as little as possible.
(c) Modify your program to allow for non-binary splits, where the branching ratio
B as is determined at each node during training. Train a new tree fully using a
gain ratio impurity and then classify the points in (a).
using the data from the three categories in the table, using an entropy impurity.
(a) Use the (unpruned) tree to classify the following patterns: {A,E, I, L,N},
{D,E, J,K,N}, {B,F, J,K,M}, a nd {C,D, J, L,N}.
(b) Prune one pair of leafs, increasing the entropy impurity as little as possible.
(c) Modify your program to allow for non-binary splits, where the branching ratio
B as is determined at each node during training. Train a new tree fully using a
gain ratio impurity and then classify the points in (a).
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