All Questions
Tagged with labeled-datasets machine-learning
3 questions
4
votes
3
answers
2k
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If the accuracy of my current model is low ($50 \%$) and we want to minimize time in collecting more data, should we try other models?
Suppose we have a data set with $4,000$ labeled examples. The outcome variable is trinary (three possible categorical values). Suppose the accuracy of a given model is "bad" (e.g. less than $...
10
votes
1
answer
435
views
How to deal with a small amount of labeled samples?
I'm trying to develop skills to deal with very small amounts of labeled samples (250 labeled/20000 total, 200 features) by practicing on Kaggle "Don't Overfit" dataset (Traget_Practice have ...
- 201
5
votes
2
answers
1k
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What is the effect of mislabeled training data?
Collecting and labeling training data for supervised learning tasks is incredibly time-consuming and costly.
For instance, let's say you wrote a script that went on Google images and got you 5000 ...
- 484