https://github.com/graykode/brainwave-svm-cross-validation
BOB 5기 프로젝트에서 머신러닝 작업을 위해 cross validation으로 modeling 한 데이터입니다.
https://github.com/graykode/brainwave-svm-cross-validation
Last synced: 12 months ago
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BOB 5기 프로젝트에서 머신러닝 작업을 위해 cross validation으로 modeling 한 데이터입니다.
- Host: GitHub
- URL: https://github.com/graykode/brainwave-svm-cross-validation
- Owner: graykode
- Created: 2016-12-06T11:58:18.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2016-12-06T12:28:44.000Z (over 9 years ago)
- Last Synced: 2025-04-03T00:42:11.170Z (about 1 year ago)
- Language: Shell
- Homepage:
- Size: 2.15 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# brainwave-svm-cross-validation
From https://github.com/jijames/brainwave-svm-login, I test throught Cross-validation using Svm. Each person has 9 Experiments data and I make models like this:
A 1 2 3 4 5 6 7 8 9
B 1 2 3 4 5 6 7 8 9
C 1 2 3 4 5 6 7 8 9
First, I make model except Person A-1 experiment.. and Try this 9 times per one Person. ("train.sh")
so Model made like this.
A_except1, A_except2, ....., A_except9
B_except2, .... C_except9
Second, I predicted each tests by each models.(9*9 times) This is coded in "predict.sh"
The result like this.
기범_test.기범_model Average = 0.0739279
원석_test.기범_model Average = -0.162976
태환_test.기범_model Average = -0.0334192
기범_test.원석_model Average = 0.0437607
원석_test.원석_model Average = 0.168315
태환_test.원석_model Average = 0.0210761
기범_test.태환_model Average = -0.0584809
원석_test.태환_model Average = 0.103501
태환_test.태환_model Average = -0.00806665
Near to -1 mean is different to each one. Near to 1 mean is same to each one
But I think it has a large range Accuracy. Maybe DataSet is not good enough..:'(