One Point Crossover
Majoritarian class will be default
MDL fitness function
Minumum number of classifiers per individual in initialization:20.000000
Maximum number of classifiers per individual in initialization:20.000000
GA Iterations:35.000000
Initial theory length proportion in MDL formula: 0.250000
Iteracio activacio MDL 10
MDL Weight relax factor 0.900000
Popsize: 500.000000
Crossover probability: 0.600000
Individual-wise mutation probability:0.600000
Probability of value ONE for GABIL and ADI KR:0.750000
Tournament Selection without replacement Algorithm
Tournament size:4.000000
ILAS Windowing of degree 50
Dump learning process statistics at each iteration
Initialization uses examples to create the initial rules
Instances used in initialization are sampled with uniform class distribution
Coverage breakpoint for MDL fitness : 0.001000
Number of times we will try to learn a rule from the current training set: 2
Coverage ratio for MDL fitness : 0.900000
Using HYPERRECT Knowledge Representation
Number of expressed attributes in initialization : 15.000000
Hyperrectangle attribute list knowledge representation
Probability of generalizing the hyperrect list KR: 0.100000
Probability of specializing the hyperrect list KR: 0.100000
Random seed 1612437745
Dataset name: PSSM+CN_Q2
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