Frequently Asked Questions

The Amazon ML Challenge 2026 was a major national machine learning competition hosted for engineering and science students across India. Participants built multimodal ML models to automatically extract structured product attributes and entity values from complex e-commerce catalog datasets under rigorous evaluation benchmarks.

The Amazon ML Challenge Explorer is an independent, historical competition archive and analytical platform. It preserves 10,942 registered teams, 36,016 student participants, 2,663 academic organizations, and 17 chronological leaderboard checkpoints captured throughout the competition.

This is a historical archive. The competition has concluded. All standings, scores, ranks, and checkpoint comparisons represent verified historical observations recorded during the preserved competition period.

'Final Recorded Leaderboard' refers to the last official benchmark snapshot preserved at the conclusion of the evaluation period, containing all 4,334 submitting teams sorted by their official final rank and validated F1 score.

Throughout the challenge, 17 sequential snapshot checkpoints were captured. Each checkpoint documents the exact point-in-time standings of all teams, allowing users to study leaderboard velocity, score gains, and rank displacements across 16 consecutive interval transitions.

Rankings strictly follow official leaderboard standings sorted by sort rank (with ties resolved by finish submission timestamp). Rank movement (rank delta) is computed as: Previous Rank minus Current Rank. A positive delta (e.g., ▲ +450) indicates the team climbed upward.

The F1 score is the harmonic mean of Precision (the accuracy of predicted entities) and Recall (the fraction of ground-truth catalog entities successfully captured). Leaderboard scores range from 0.000000 to 1.000000, with top-ranking teams achieving scores exceeding 0.950000.

Use the global search bar at the top of any page or visit the Search section on the homepage. You can search by exact Team Name, Contest Team ID, or individual student member name to jump directly to their contest profile.

Visit the Colleges Directory or College Leaderboard to browse all 2,663 participating academic institutions. Each college page displays its full team roster, best achieved rank, member count, and average F1 score.

The Movers page (/movers) is a stock-market style leaderboard movement dashboard. It lets you select any pair of consecutive historical checkpoints (e.g., Checkpoint 16 → Checkpoint 17) to see top rank climbers, greatest score improvements, new team submissions, and displaced teams.

Each team profile (/teams/[teamId]) displays the team name, registered members, college affiliations, final rank, F1 score, finish timestamp, multi-checkpoint progression line chart, and historical snapshot timeline table.

The archive is built from verified public leaderboard responses and dataset snapshots preserved during the official competition timeline. No statistics, scores, or participant names are fabricated or altered.

No. Amazon ML Challenge Explorer is an independent, community-driven educational archive and research tool created to document and analyze competition outcomes. All trademarks belong to their respective owners.