Learn smart - Learn online. Upto 88% off on courses for a limited time. View Courses

Securing Higher Grades Costing Your Pocket? Book Your Assignment at The Lowest Price Now!
Add File

Error goes here

Files Missing!

Please upload all relevant files for quick & complete assistance.

Guaranteed Higher Grade!

ICT706 Decision Tree With Python

tag 0 Download 7 Pages / 1,541 Words tag 12-11-2020


Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features.

Learning Objectives

In this lab you will learn to: a decision tree from the dataset,

Anaconda has scikit-learn package.

We will use scikit-learn package for decision tree analysis and prediction.

If we want to use 80% of original dataset as the training set, and 20% as the test set, which statement can help to do the right sampling?

Visualize the tree trained on your training set?

We first set a seed which is a number used by Python's random number generator. The major advantage of setting a seed is that we can get the same sequence of random numbers whenever we use the same seed.

Download Sample Now

Earn back the money you have spent on the downloaded sample by uploading a unique assignment/study material/research material you have. After we assess the authenticity of the uploaded content, you will get 100% money back in your wallet within 7 days.

Unique Document

Under Evaluation

Get Money
into Your Wallet

Total 7 pages

Cite This Work

To export a reference to this article please select a referencing stye below:

My Assignment Help. (2020). Decision Tree With Python. Retrieved from

My Assignment Help (2020) Decision Tree With Python [Online]. Available from:
[Accessed 15 August 2022].

My Assignment Help. 'Decision Tree With Python' (My Assignment Help, 2020) <> accessed 15 August 2022.

My Assignment Help. Decision Tree With Python [Internet]. My Assignment Help. 2020 [cited 15 August 2022]. Available from:

We Can Help!

Get top notch assistance from our best tutors !
Excel in your academics & career in one easy click!


Other Samples

Content Removal Request

If you are the original writer of this content and no longer wish to have your work published on then please raise the content removal request.


5% Cashback

On APP - grab it while it lasts!

Download app now (or) Scan the QR code

*Offer eligible for first 3 orders ordered through app!

callback request mobile
Have any Query?