https://github.com/abdullah2020/hamoye_stagec
This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.
https://github.com/abdullah2020/hamoye_stagec
accuracy-score classification-model confusion-matrix extratreesclassifier f1-score lgbmclassifier logistic-regression machine-learning random-forest-classifier recall-precision xgboost
Last synced: 3 months ago
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This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.
- Host: GitHub
- URL: https://github.com/abdullah2020/hamoye_stagec
- Owner: Abdullah2020
- Created: 2022-09-01T16:26:40.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2022-09-04T19:14:03.000Z (almost 3 years ago)
- Last Synced: 2025-01-31T11:50:25.834Z (5 months ago)
- Topics: accuracy-score, classification-model, confusion-matrix, extratreesclassifier, f1-score, lgbmclassifier, logistic-regression, machine-learning, random-forest-classifier, recall-precision, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 1.13 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Hamoye_StageC
#### Attribute Information:
There are 11 predictive attributes, 1 non-predictive(p1), 2 goal fields:
1. tau[x]: reaction time of participant (real from the range [0.5,10]s). Tau1 - the value for electricity producer.
2. p[x]: nominal power consumed(negative)/produced(positive)(real). For consumers from the range [-0.5,-2]s^-2; p1 = abs(p2 + p3 + p4)
3. g[x]: coefficient (gamma) proportional to price elasticity (real from the range [0.05,1]s^-1). g1 - the value for electricity producer.
4. stab: the maximal real part of the characteristic equation root (if positive - the system is linearly unstable)(real)
5. stabf: the stability label of the system (categorical: stable/unstable)