ML Team Challenge Game

Team

Unassigned Team

Choose a scenario to begin.

StageSetup1 of 8

Score0of 1,000

Time45minutes

Budget100

Compute100

Challenge Journey

Select a completed or available stage on the canvas.

Build Your Team

Create two to six players and assign specialist roles.

Team name

Team color

Team mode

Available roles

Game Configuration

Set challenge pressure, guidance, and classroom controls.

Difficulty

Game mode

Time limit

Hints

Random seed

Stage access

Enable teacher rubric and stage locking

Enable surprise decision cards

Select a Project

Every scenario has different targets and constraints.

Team Planning Board

Drag tasks between columns. SortableJS keeps the plan interactive.

To do

In progress

Completed

Project strategy

Risk tolerance

Budget split

Team hypothesis

Project Briefing

Team Workspace

Shared note

Dataset Explorer

Inspect quality problems before selecting preparation actions.

Preparation Decisions

Actions change data quality, time, budget, leakage risk, and model potential.

Training split

70% train

Validation share

Split method

Split seed

Choose actions to improve the dataset. Strong teams address quality without spending every resource.

Feature Engineering Lab

Create stronger signals while protecting robustness and interpretability.

Feature selection

Target feature count

PCA components

Feature Set Summary

Model Workshop

Select a model, configure hyperparameters, and run experiments.

Hyperparameter Playground

Training Simulator

ReadyEpoch 0 / 30

Experiment Tracker

Run	Model	Validation	Test	Fairness	Explainability	Time	Owner

Evaluation Command Center

Compare technical performance, reliability, fairness, explainability, and operating constraints.

Final Model Decision

Risk and Reliability Review

Presentation Builder

Drag slides into order and complete every required section.

Presentation lead

Presentation style

Final recommendation

Rehearsal Timer

05:00

Simulated judge question

Judge Rubric

Challenge complete

Team results

Learning Feedback

Project Summary

Local Leaderboard

Rank	Team	Score	Scenario

How to Play

Create a team and choose a fictional project.
Plan responsibilities, resources, strategy, and risks.
Inspect the dataset and apply preparation decisions.
Engineer features and compare model experiments.
Evaluate evidence beyond a single accuracy score.
Present a recommendation and answer judge questions.

Accessibility and Display

High contrast

Reduced motion

Text size

Keyboard controls, descriptive labels, responsive layouts, and color-independent score text are included.