Ta
TabBench-Bio: A benchmark for ML methods on tabular biomedical datasets
Hacker NewsTabBench-Bio: A benchmark for ML methods on tabular biomedical datasets
A benchmark for ml methods on tabular biomedical datasets. Select your modality / feature size so you can use this to shortlist a few ml methods.
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto60%60% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting18%18% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Au
Augmenting ML Datasets with Gretel and Vertex AI44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Augmenting ML Datasets with Gretel and Vertex AI
Hacker News4Gi
GitHub for ML datasets62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitHub for ML datasets
Hacker News15Tr
Training ML model on 4 datasets at once52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Training ML model on 4 datasets at once
Hacker News2La
Label errors in benchmark ML test sets27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Label errors in benchmark ML test sets
Hacker News2Ca
Cached Datasets53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cached Datasets
Hacker News4Bi
Bifrost Data Search – 1800 image datasets for your next ML project52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bifrost Data Search – 1800 image datasets for your next ML project
Hacker News3We
WebGL Sprites Benchmark58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WebGL Sprites Benchmark
Hacker News38NA
NAB – The Numenta Anomaly Benchmark42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NAB – The Numenta Anomaly Benchmark
Hacker News17NA
NAB – The Numenta Anomaly Benchmark42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NAB – The Numenta Anomaly Benchmark
Hacker News15Py
Pyinfer – A tool to benchmark inference statistics for any ML model50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pyinfer – A tool to benchmark inference statistics for any ML model
Hacker News1