Skip to content

This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.

Notifications You must be signed in to change notification settings

Abdullah2020/Hamoye_StageC

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 

Repository files navigation

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)

About

This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published