Event attendance prediction classifier
Code for answering the following RQ:
- RQ1. How accurate is our event attendance prediction classifier?
from eventclf.evaluate_models import eval_model eval_model(path_to_results_file) - RQ2. What features groups help most to attain high prediction accuracy?
from eventclf.evaluate_features import run_feat_analysis run_feat_analysis(path_to_results_file)
Find the results in the results folder.
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Metadata
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Release files for eventclf 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| eventclf-0.0.5.tar.gz | 1.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| eventclf-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.9 MB
Release files / eventclf-0.0.5.tar.gz
| Download URL | eventclf-0.0.5.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.1 CPython/3.9.10
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Release files / eventclf-0.0.5-py3-none-any.whl
| Download URL | eventclf-0.0.5-py3-none-any.whl |
|---|---|
| Size | 1.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.10
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