The Classifier Mastery Game (CMG)

The CHALLENGE: Be yourself the classifier!

I invite you to BECOME a Fall/ADL Classifier… and to compare yourself (“face-off”) against some Artificial Intelligence (AI) models in a classification task. By playing and experimenting with The Classifier Mastery Game (CMG) – a.k.a “Confusion Matrix Game” – you will learn about AI-based classifiers, their performance and related measurement instruments, such as the Confusion Matrix (CM).

What is it like to be a CLASSIFIER?

AI-based (or ML-machine learning based) classifiers are mathematical/computational models that are “trained” in order to “learn” patterns that are embodied in data (often in large datasets), so that when they are presented with new data/samples, they can classify them based on their previous learning (“experience”). To train an AI/ML model, different techniques can be used. In a type of machine learning – known as Supervised Learning – the classes of the samples used during training are known – or as usually said, the samples are “labelled”. Thus, a first step in the creation of an AI-classifier, is actually to “train” it by “showing” it some (labelled) samples.

To ensure “fair-playing” you get a chance to train yourself, which is your first step to “become” a Fall/ADL classifier!

How to PLAY:

1. TRAIN YOURSELF. Observe the following “labelled” samples of each class: FALLs and ADLs.

2. TEST YOURSELF. When you first go-to the “PLAY the game” tab (or by pressing the buttom “Start new game”), eight samples of generative artworks will be displayed. Each one is either a FALL or an ADL (Activities of Daily Living: seating, walking, etc.).  As a “classifier”, your job is to “guess” (classify!) each one as FALL or ADL.
3. CHECK YOUR RESULTS. When you have classified all artworks, click the buttom “Show my Metrics” to see your performnace results. Then click/go-to the “Confusion Matrix & Stats” tab, to learn more…
4. LEARN MORE. Read the notes & questions in the “Confusion Matrix & Stats” tab; and try/experiment again…
5. Last but not least, ENJOY & HAVE FUN!

Note: The generative-data-art pieces used in this challenge/game, have been created using several algorithms with sensor data captured from a FALLs and Activities of Daily Living (ADL). Learn more about this project in the About page.