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Results tagged with classification
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user 98127
An instance of supervised learning that identifies the category or categories which a new instance of dataset belongs.
3
votes
Accepted
Why Does XGBoost Keep One Feature at High Importance?
According to the docs "gain" is the default, which is calculated by this formula, where I don't think intuition would help. General consensus is, that feature importance is a tricky concept, as long a …
- 572
1
vote
What does all zero mean decrease in accuracy (MDA/permutation importance) signify?
I am assuming MDA means Mean Decrease Accuracy. Generally speaking, a good performance on a validation/testing dataset means that your model generalizes well.
On the other hand MDAs of all exactly zer …
- 572
2
votes
Accepted
Reducing the size of a dataset
There are a number of ways to tackle this, I am going to focus on feature selection/extraction, because you mentioned PCA.
Sklearn itself offers a few feature selection/extraction algorithms already, …
- 572