Random choice in ML algorithm

Question

I'm new to AI and ML.

I am attempting to write code that will generate a decision tree given a random set of integers 0 - 9 as opposed to giving the code the choice between 0 and 1. Ideally, the code will output the likelihood (probability) of a pair of any two integers between 0 - 9.

the code is as follows:

from sklearn import tree
import random

num1 = random.randint (0, 9)
num2 = random.randint (0, 9)

X = [[num1, num1], [num2, num2]]
Y = [num1, num2]
clf = tree.DecisionTreeClassifier()
clf = clf.fit(X, Y)

the program still outputs a decision tree from set of [0,1] and not random integers between 0 - 9.

what am i doing wrong?

import random

Selcuk
– Selcuk

2022-12-16 02:23:29 +00:00
Commented Dec 16, 2022 at 2:23 — Selcuk
– Selcuk, Commented Dec 16, 2022 at 2:23

Chetana Reddy · Accepted Answer · 2022-12-18 09:23:52Z

0

The code is correct.

when you run the whole code along with clf.predict(X) the values in the set changes when you execute repeatedly, as you gave random function

answered Dec 18, 2022 at 9:23

Chetana Reddy

11 bronze badge

Sign up to request clarification or add additional context in comments.

Collectives™ on Stack Overflow

Random choice in ML algorithm

1 Answer 1

Comments

Your Answer

Linked

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

Comments

Your Answer

Sign up or log in

Post as a guest

Linked

Related