#🔒 ML Model related question

7 messages · Page 1 of 1 (latest)

versed shard
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Hey, I have data and results that I gathered from 2 datasets but my validation and training graphs don’t look good. I asked ChatGPT and it’s saying my sample size is less. This is wrong because I’ve seen other people use the same 2 datasets and get good accuracy for their model. What can I do?

raw thistleBOT
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@versed shard

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frosty trout
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well, technically ChatGPT probably isn't wrong as your sample size might be small, just someone else achieve better with the same sample
You should probably post your code on how you train it
From my limited knowledge, it could because those people fine-tune the training better to produce a more accurate result

tribal coral
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Try to optimize you Hyperparameters... look at the data and deal with outliers, check if everything preprosessed correctly. validate the data before training

pulsar nimbus
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share the ml code and have you tried scaling the data?

raw thistleBOT
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