solar-flare

OpenML dataset with id 40687

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/4965264/solar-flare.arff

Upload date: 6 April 2017

Dataset Characteristics

Number of classes: 6
Number of features: 13 (numeric: 0, symbolic: 13 and in total binary: 4 )
Number of instances: 1,066
Number of instances with missing values: 0
Number of missing values: 0

Description

Author: Gary Bradshaw Source: UCI Please cite:

Solar Flare database Relevant Information:

   -- The database contains 3 potential classes, one for the number of times a
      certain type of solar flare occured in a 24 hour period.
   -- Each instance represents captured features for 1 active region on the 
      sun.
   -- The data are divided into two sections. The second section (flare.data2)
      has had much more error correction applied to the it, and has 
      consequently been treated as more reliable.

Number of Instances: flare.data1: 323, flare.data2: 1066

Number of attributes: 13 (includes 3 class attributes)

Attribute Information

   1. Code for class (modified Zurich class)  (A,B,C,D,E,F,H)
   2. Code for largest spot size              (X,R,S,A,H,K)
   3. Code for spot distribution              (X,O,I,C)
   4. Activity                                (1 = reduced, 2 = unchanged)
   5. Evolution                               (1 = decay, 2 = no growth, 
                                               3 = growth)
   6. Previous 24 hour flare activity code    (1 = nothing as big as an M1,
                                               2 = one M1,
                                               3 = more activity than one M1)
   7. Historically-complex                    (1 = Yes, 2 = No)
   8. Did region become historically complex  (1 = yes, 2 = no) 
      on this pass across the sun's disk
   9. Area                                    (1 = small, 2 = large)
  10. Area of the largest spot                (1 = <=5, 2 = >5)

 From all these predictors three classes of flares are predicted, which are 
 represented in the last three columns.

  11. C-class flares production by this region    Number  
      in the following 24 hours (common flares)
  12. M-class flares production by this region    Number
      in the following 24 hours (moderate flares)
  13. X-class flares production by this region    Number
      in the following 24 hours (severe flares)

CLASSTYPE: nominal
CLASSINDEX: first

This page was built for dataset: solar-flare