Who leads the n-mnist benchmark?

Pixel-level RC currently leads n-mnist with a score of 97.62 on Accuracy.

What is the state-of-the-art score on n-mnist?

The state-of-the-art result on n-mnist is 97.62 (Accuracy), achieved by Pixel-level RC as of 2018.

How many models are tracked on n-mnist?

Codesota tracks 1 model on n-mnist.

When was the n-mnist leaderboard last updated?

The n-mnist leaderboard on Codesota includes results through 2018.

Codesota · Benchmark · n-mnistHome/Leaderboards/n-mnist

Unknown

n-mnist.

Name: n-mnist Benchmark Results
Creator: Unknown
Published: 2018-01-01
License: https://creativecommons.org/licenses/by/4.0/

n-mnist is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for n-mnist.

Paper ↗Leaderboard ↓

§ 01 · Leaderboard

Results by metric.

Only 1 model on this benchmark

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Accuracy

Accuracy is the reported evaluation metric for n-mnist. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.

Higher is better

Trust tiers for Accuracyverifiedpapervendorcommunityunverified

Rank	Model	Trust	Score	Year	Links	Fix
01	Pixel-level RC From paper: Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters	verified	97.62	2018	Paper ↗	Looks wrong?

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