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Results tagged with classification
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user 71675
An instance of supervised learning that identifies the category or categories which a new instance of dataset belongs.
4
votes
Large no of categorical variables with large no of categories
I used to work a lot with such data in the past.
When you have many categorical features with high cardinality, you must avoid one-hot encoding them because it consumes too much memory and above all t …
- 322
1
vote
What could make a set of the train data more predictive than the whole train data
In absence of noise and if the difference of accuracy you observe is significant, the only reason I see is that, by luck, the distribution of the training data subset happens to be closer to the distr …
- 322
0
votes
Accepted
Is it advisable to merge similar datasets to improve model accuracy?
Ideally if you mix data from different sources (different distributions), the mix should be uniform for each class. Otherwise if for example class A gets more of source S and class B gets more of so …
- 322
0
votes
Accepted
Using sigmoid in binary DNN output layer instead of softmax?
In a binary classification problem you have only 2 classes, let's call them the negative and the positive class. …
- 322