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Traceback (most recent call last):
File "/behavior-classifier/src/ui/training_thread.py", line 85, in run
self._classifier.train(data)
File "/behavior-classifier/src/classifier/classifier.p…
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**Describe the bug**
Random forest classifier run from the EIS Processing algorithms with five input data sets and the base raster, available from the signee. Default computation parameters. Training…
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Hi, I'm trying to run resident intruder classifiers on one imported video, ten mins long, 60fps, and over 36,000 frames. I've been able to successfully import my H5 tracking data from SLEAP.
My skel…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
this system based on machine learning will predict the household income from various input…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
This feature aims to predict whether job descriptions are fake or real using a machine lea…
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So I’ve been running the program and noticed that what I´m getting is the results from the random forest instead of xgboost. Do you know what the issue might be? Here are the lines of code:
{python…
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(1) The first sentence of the notebook says (emphasis added):
> In this session, we'll use the `boston` dataset, which has been used to examine the ***relationship between clean air and house price…