# Amazon ML Challenge Explorer > An independent leaderboard explorer, search engine, and institutional analytics platform for the Amazon ML Challenge 2026 dataset. ## Platform Overview - Website: https://amazonmlchallengeexplorer.vercel.app - Challenge Name: Amazon ML Challenge 2026 - Challenge ID: 290344 - Competition Type: CodeContest / Machine Learning - Source Platform: Public Unstop Leaderboard Data - Collection Scope: 114/114 complete leaderboard pages (100% complete historical snapshot) - Dataset Dimensions: - 4,334 total teams & submission records - 14,480 individual participant profiles - 1,546 unique academic institutions & organizations ## Independence & Data Disclaimer - Amazon ML Challenge Explorer is an independent data analysis and exploration tool built by researchers and participants. - This platform is NOT affiliated with, endorsed by, or sponsored by Amazon, Unstop, or the official competition organizers. - The leaderboard data represents a complete offline historical snapshot of the public leaderboard as finalized during the competition. - Metrics such as college aggregates, score distributions, and cross-college team breakdowns are derived directly from the immutable dataset snapshot. ## Primary Routes & Navigation - `/` - Main Explorer Dashboard: Universal search across teams, participant names, and colleges with quick filters. - `/leaderboard` - Official Team Standings: Complete 4,334-team rankings with filters by rank tier (Top 10, Top 25, Top 50, Top 100) and team size. - `/leaderboard/colleges` - College Leaderboard: Analytical ranking of 1,546 colleges by overall performance, best team rank, top-5 average rank, and score distributions. - `/organizations` - Institutional Directory: Alphabetical and ranked index of 1,546 participating colleges and universities. - `/organizations/[slug]` - College Profile: Entity page showing total student teams, participant roster, best rank, score distribution, and team links for a specific university. - `/teams/[teamId]` - Team Profile: Entity page detailing official rank, score, finish timestamp, participant names, and university affiliations. - `/compare` - Institutional Comparison Tool: Multi-university comparison of participation volume, top ranks, and score percentiles. - `/cross-college` - Inter-University Collaboration Directory: Catalog of multi-institution teams where participants teamed up across different universities. ## Data Interpretation Guidelines - **Scores**: Range from 0.000000 to 1.000000 based on the official competition evaluation metric. - **Ranks**: Ordered by score descending, with finish time as tie-breaker where applicable. - **Affiliations**: Self-reported institutional affiliations recorded during team registration. - **Cross-College Teams**: Teams whose members listed different academic institutions.