five

solar_flare

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OpenML2022-12-22 更新2024-05-23 收录
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https://www.openml.org/search?type=data&sort=runs&status=active&id=44966
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资源简介:
**Data Description** Predict the number of common solar flares. The database contains 3 classes, one for the number of times a certain type of solar flare occurred in a 24 hour period. Each instance represents captured features for 1 active region on the sun. **Attribute Description** 1. *class* - code for class (modified Zurich class) (A,B,C,D,E,F,H) 2. *largest_spot_size* - Code for largest spot size (X,R,S,A,H,K) 3. *spot_distribution* - Code for spot distribution (X,O,I,C) 4. *activity* - activity (1 = reduced, 2 = unchanged) 5. *evolution* - evolution (1 = decay, 2 = no growth, 3 = growth) 6. *previous_activity* - previous 24 hour flare activity code (1 = nothing as big as an M1, 2 = one M1, 3 = more activity than one M1) 7. *complex* - historically-complex (1 = Yes, 2 = No) 8. *complex_path* - whether region become historically complex on this pass across the sun's disk (1 = yes, 2 = no) 9. *area* - area (1 = small, 2 = large) 10. *area_largest* - area of the largest spot 11. *c_class_flares* - number of C-class flares production by this region in the following 24 hours (common flares), target feature 12. *m_class_flares* - number of M-class flares production by this region in the following 24 hours (moderate flares) 13. *x_class_flares* - number of X-class flares production by this region in the following 24 hours (severe flares)
创建时间:
2022-12-22
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