@amightyo Thanks! You might find it hard to do much better than 80%, it's a difficult dataset. You might tweak and tweak and tweak and get up to 85% if you tweak enough, but then you'd just be overfitting the test set. We'll talk about what that means later, but basically, you'd find that if you run that same method on a different dataset, you'd perform badly, because your algorithm was just fine tuned to handle this one specifically. Cheers!
really great video and explaination. much thanks for your efforts.
drakezen 8 months ago
great video!
yanovskishai 8 months ago
Nice example, nicely explained. Thanks.
Oxfordian2010 8 months ago
now my eyes are just watered as I see the python example. Will send you a feedback on my own try. Hopefully I will go beyond 80% :-). Thanks!!!
amightyo 9 months ago
@amightyo Thanks! You might find it hard to do much better than 80%, it's a difficult dataset. You might tweak and tweak and tweak and get up to 85% if you tweak enough, but then you'd just be overfitting the test set. We'll talk about what that means later, but basically, you'd find that if you run that same method on a different dataset, you'd perform badly, because your algorithm was just fine tuned to handle this one specifically. Cheers!
MLexplained 9 months ago
@MLexplained very true. Well, I'm glad to have the understanding. Looking forward to the progress. Many thanks
amightyo 9 months ago
Comment removed
amightyo 9 months ago