Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Challenge: Metrics Calculation | Introduction to Association Rule Mining
Association Rule Mining
course content

Course Content

Association Rule Mining

Association Rule Mining

1. Introduction to Association Rule Mining
2. Mining Frequent Itemsets
3. Additional Applications of ARM

bookChallenge: Metrics Calculation

Task

In this challenge, you will implement functions to calculate all metrics discovered in the previous chapter.
We will store transactions as a list of itemsets. You have to fill in the gaps in code to calculate support, confidence and lift measures.

Once you've completed this task, click the button below the code to check your solution.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 4
toggle bottom row

bookChallenge: Metrics Calculation

Task

In this challenge, you will implement functions to calculate all metrics discovered in the previous chapter.
We will store transactions as a list of itemsets. You have to fill in the gaps in code to calculate support, confidence and lift measures.

Once you've completed this task, click the button below the code to check your solution.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 4
toggle bottom row

bookChallenge: Metrics Calculation

Task

In this challenge, you will implement functions to calculate all metrics discovered in the previous chapter.
We will store transactions as a list of itemsets. You have to fill in the gaps in code to calculate support, confidence and lift measures.

Once you've completed this task, click the button below the code to check your solution.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Task

In this challenge, you will implement functions to calculate all metrics discovered in the previous chapter.
We will store transactions as a list of itemsets. You have to fill in the gaps in code to calculate support, confidence and lift measures.

Once you've completed this task, click the button below the code to check your solution.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 4
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
some-alt