https://github.com/DominikRafacz/AMLPRO2
Repository for 2 project for Advanced Machnie Learning course
https://github.com/DominikRafacz/AMLPRO2
Last synced: 4 months ago
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Repository for 2 project for Advanced Machnie Learning course
- Host: GitHub
- URL: https://github.com/DominikRafacz/AMLPRO2
- Owner: DominikRafacz
- Created: 2021-05-15T16:03:38.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-05-30T13:23:03.000Z (almost 4 years ago)
- Last Synced: 2024-11-09T20:46:26.850Z (5 months ago)
- Language: R
- Size: 13.9 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AMLPRO2
Repository for 2 project for Advanced Machine Learning course
# Predicted features
## randomForest
* artificial: c(476, 339, 242)
* digits: c(3976, 558, 3657, 905, 3003, 339, 2302)
## mcfs
* artificial: c(242, 129, 476, 106, 339)
* digits: c(3657, 3976, 558, 512, 4196, 4272) # possibly only the first three, as there is a clear step between those in score
## mRMR
* artificial: c(424, 91, 277, 405, 229)
* digits: c(2433, 482, 2093, 4607, 3229, 1833, 2381)
## BIC
* artificial: c(476, 49, 425)
* digits: c() # didn't compute, because there would be at least 50, if not 150 of features chosen
## ReliefFexprank
* artificial: c(242, 476, 339, 106, 129)
* digits: c(3657, 558, 4508, 4387, 2302, 3464)
# Dropped algorithms
Due to how long it took to compute filtered features, we decided not to use the following algorithms: Boruta, and ensemble_fs from EFS package.