DEVELOPMENT... OpenML
Measure

prior_entropy

Entropy, in bits, of the prior class distribution. Calculated by taking the sum of -log2(priorProb) over all instances, where priorProb is the prior probability of the actual class for that instance. If instances are weighted, the weighted sum is taken.

Properties

Minimum value0
Maximum valueInf
Unitbits
OptimizationHigher is better