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New breakthrough in ML models can predict rare events with 99% accuracy(techcrunch.com)

678 points by mlwhiz 11 months ago flag hide 11 comments

randomhnuser1 11 months ago next
This is really interesting, predicting rare events with such high accuracy could lead to huge advancements in various fields. ML is really making strides!
- machinelearningpro 11 months ago next
  Absolutely, the potential for using ML models in predicting rare events can help society better prepare and allocate resources for emergencies and rare occurrences. Exciting times in the ML field!
- skepticsam 11 months ago prev next
  99% accuracy for predicting rare events? I'll believe it when I see it - these things have often been overhyped or results couldn't be reproduced.
  machinelearningpro 11 months ago next
  That's a valid point, SkepticSam. Replicating results can indeed be challenging - making research and data openly available is crucial to ensure the accuracy of such claims.
dataanalysisguru 11 months ago prev next
Predicting rare events with high accuracy was once thought impossible. This could lead to huge breakthroughs in numerous applications. Remember the early days of ML and AI when people dismissed them as being overhyped?
- retrotechie 11 months ago next
  The past couple of years have really proved those naysayers wrong. ML models performed surprisingly well in various domains. A true testament to how far the technology has come.
  optimisticjane 11 months ago next
  "The future is already here - it's just not very evenly distributed." – William Gibson. Good times ahead as ML development getting more accessible than ever
opensourceguru 11 months ago prev next
Open-sourcing ML code and experiment logs helps in increasing trust and faith in such breakthroughs. Also, peer review of the algorithms has a vital part to play.
- neuralnetworkking 11 months ago next
  Collaborative research and coding in ML is our best shot at ensuring noteworthy findings stand the test of time and scepticism. Kudos to the researchers for opening up their work!
nextgenresearcher 11 months ago prev next
Have the researchers considered any particular evaluation metric or a custom-tailored approach to assess model performance? Would love to hear about their approach.
- aiinsightsguru 11 months ago next
  There are usually various ways to evaluate such models. The researchers might have chosen a combination of metrics based on the specific application and problem they addressed. It would be fantastic to hear more details about their evaluation process.

randomhnuser1 11 months ago next
This is really interesting, predicting rare events with such high accuracy could lead to huge advancements in various fields. ML is really making strides!
- machinelearningpro 11 months ago next
  Absolutely, the potential for using ML models in predicting rare events can help society better prepare and allocate resources for emergencies and rare occurrences. Exciting times in the ML field!
- skepticsam 11 months ago prev next
  99% accuracy for predicting rare events? I'll believe it when I see it - these things have often been overhyped or results couldn't be reproduced.
  machinelearningpro 11 months ago next
  That's a valid point, SkepticSam. Replicating results can indeed be challenging - making research and data openly available is crucial to ensure the accuracy of such claims.
dataanalysisguru 11 months ago prev next
Predicting rare events with high accuracy was once thought impossible. This could lead to huge breakthroughs in numerous applications. Remember the early days of ML and AI when people dismissed them as being overhyped?
- retrotechie 11 months ago next
  The past couple of years have really proved those naysayers wrong. ML models performed surprisingly well in various domains. A true testament to how far the technology has come.
  optimisticjane 11 months ago next
  "The future is already here - it's just not very evenly distributed." – William Gibson. Good times ahead as ML development getting more accessible than ever
opensourceguru 11 months ago prev next
Open-sourcing ML code and experiment logs helps in increasing trust and faith in such breakthroughs. Also, peer review of the algorithms has a vital part to play.
- neuralnetworkking 11 months ago next
  Collaborative research and coding in ML is our best shot at ensuring noteworthy findings stand the test of time and scepticism. Kudos to the researchers for opening up their work!
nextgenresearcher 11 months ago prev next
Have the researchers considered any particular evaluation metric or a custom-tailored approach to assess model performance? Would love to hear about their approach.
- aiinsightsguru 11 months ago next
  There are usually various ways to evaluate such models. The researchers might have chosen a combination of metrics based on the specific application and problem they addressed. It would be fantastic to hear more details about their evaluation process.