Timeline for Identifying importance of each feature in deep model
Current License: CC BY-SA 4.0
5 events
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| Jul 24, 2019 at 2:08 | comment | added | Nakor | I wasnt sure if your features are normalized or have the same value range. If some of them vary between 0 and 1000 and others between 0 and 1, a random noise with variance 1 won't have the same effect on them. That's why I suggested a different noise variance depending on the feature. | |
| Jul 24, 2019 at 2:05 | comment | added | yamini goel |
that appears a nice idea! I will try this. Another query, why you suggest (mean=0, std=feature's std)?
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| Jul 24, 2019 at 2:00 | comment | added | Nakor | What about adding random noise to the input (mean=0, std=feature's std)? | |
| Jul 24, 2019 at 1:42 | comment | added | yamini goel |
I have changed a few features simultaneously as you suggested and my results have varied (on 2nd decimal place). Just one more thing, I just realized most of the entries in my dataset are already =0 and therefore the results don't vary as much as they should. What value shall I set my features to that signify removing it other than 0. Any idea?
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| Jul 23, 2019 at 19:45 | history | answered | Nakor | CC BY-SA 4.0 |