10
folds and 1
repetitions.The performance is measured in three different ways.
algo | model | succ | par10 | mcp |
---|---|---|---|---|
baseline | vbs | 0.764 | 2872.843 | 0.000 |
baseline | singleBest | 0.731 | 3271.137 | 49.396 |
baseline | singleBestByPar | 0.731 | 3271.137 | 49.396 |
baseline | singleBestBySuccesses | 0.731 | 3271.137 | 49.396 |
classif | rpart | 0.743 | 3133.806 | 32.821 |
classif | randomForest | 0.730 | 3289.997 | 46.548 |
classif | ksvm | 0.732 | 3263.739 | 43.992 |
cluster | XMeans | 0.735 | 3231.299 | 43.254 |
regr | lm | 0.741 | 3161.094 | 36.307 |
regr | rpart | 0.715 | 3471.654 | 69.657 |
regr | randomForest | 0.742 | 3152.402 | 35.559 |
The following default feature steps were used for model building:
Pre, Basic, KLB, CG
Number of presolved instances: 0
The cost for using the feature steps (adapted for presolving) is: 0
or on average: 0
The feature steps correspond to the following 50
/ 115
instance features:
nvarsOrig, nclausesOrig, nvars, nclauses, reducedVars,
reducedClauses, vars_clauses_ratio, POSNEG_RATIO_CLAUSE_mean, POSNEG_RATIO_CLAUSE_coeff_variation, POSNEG_RATIO_CLAUSE_min,
POSNEG_RATIO_CLAUSE_max, POSNEG_RATIO_CLAUSE_entropy, VCG_CLAUSE_mean, VCG_CLAUSE_coeff_variation, VCG_CLAUSE_min,
VCG_CLAUSE_max, VCG_CLAUSE_entropy, UNARY, BINARYp, TRINARYp,
VCG_VAR_mean, VCG_VAR_coeff_variation, VCG_VAR_min, VCG_VAR_max, VCG_VAR_entropy,
POSNEG_RATIO_VAR_mean, POSNEG_RATIO_VAR_stdev, POSNEG_RATIO_VAR_min, POSNEG_RATIO_VAR_max, POSNEG_RATIO_VAR_entropy,
HORNY_VAR_mean, HORNY_VAR_coeff_variation, HORNY_VAR_min, HORNY_VAR_max, HORNY_VAR_entropy,
horn_clauses_fraction, VG_mean, VG_coeff_variation, VG_min, VG_max,
CG_mean, CG_coeff_variation, CG_min, CG_max, CG_entropy,
cluster_coeff_mean, cluster_coeff_coeff_variation, cluster_coeff_min, cluster_coeff_max, cluster_coeff_entropy
31
to 2
, resulting in a PAR10 score of 3144.532
for the reduced model. Analogously, the model that was generated based on 4
of the originally 113
features resulted in a PAR10 score of 3080.613
.
Below, you can find the list of the selected features and solvers:
Selected Features:
POSNEG_RATIO_CLAUSE_min, POSNEG_RATIO_VAR_entropy, SP_unconstraint_max, lobjois_mean_depth_over_vars
Selected Solvers:
eagleup, sparrow