10
folds and 1
repetitions.The performance is measured in three different ways.
algo | model | succ | par10 | mcp |
---|---|---|---|---|
baseline | vbs | 0.740 | 13360.664 | 0.000 |
baseline | singleBest | 0.443 | 28158.740 | 1419.698 |
baseline | singleBestByPar | 0.500 | 25589.269 | 1434.686 |
baseline | singleBestBySuccesses | 0.500 | 25589.269 | 1434.686 |
classif | meta/AdaBoostM1 | 0.497 | 25671.802 | 1329.651 |
classif | bayes/BayesNet | 0.618 | 19443.822 | 574.643 |
classif | lazy/IBk | 0.628 | 18977.346 | 564.248 |
classif | rules/OneR | 0.611 | 19876.644 | 703.411 |
classif | trees/RandomTree | 0.639 | 18507.321 | 550.304 |
classif | trees/J48 | 0.601 | 20309.270 | 679.955 |
classif | rules/JRip | 0.618 | 19515.104 | 645.925 |
classif | classif.ctree | 0.605 | 20121.759 | 644.472 |
classif | classif.ksvm | 0.618 | 19508.665 | 639.486 |
classif | classif.naiveBayes | 0.595 | 20569.532 | 636.164 |
classif | classif.randomForest | 0.649 | 17972.612 | 471.677 |
classif | classif.rpart | 0.622 | 19321.676 | 604.524 |
regr | regr.lm | 0.601 | 20251.398 | 622.084 |
regr | regr.rpart | 0.598 | 20410.290 | 628.949 |
regr | regr.randomForest | 0.655 | 17587.981 | 391.099 |
regr | regr.earth | 0.601 | 20296.273 | 666.959 |
cluster | EM | 0.493 | 25835.079 | 1340.900 |
cluster | FarthestFirst | 0.497 | 25671.802 | 1329.650 |
cluster | SimpleKMeans | 0.497 | 25671.802 | 1329.651 |
The following default feature steps were used for model building:
Pre, Basic, KLB, CG, DIAMETER, cl, sp, ls_saps, ls_gsat, lobjois
Number of presolved instances: 0
The cost for using the feature steps (adapted for presolving) is: 1.522827 × 104
or on average: 51.4468581
The feature steps correspond to the following 115
/ 115
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,
DIAMETER_mean, DIAMETER_coeff_variation, DIAMETER_min, DIAMETER_max, DIAMETER_entropy,
cl_num_mean, cl_num_coeff_variation, cl_num_min, cl_num_max, cl_num_q90,
cl_num_q10, cl_num_q75, cl_num_q25, cl_num_q50, cl_size_mean,
cl_size_coeff_variation, cl_size_min, cl_size_max, cl_size_q90, cl_size_q10,
cl_size_q75, cl_size_q25, cl_size_q50, SP_bias_mean, SP_bias_coeff_variation,
SP_bias_min, SP_bias_max, SP_bias_q90, SP_bias_q10, SP_bias_q75,
SP_bias_q25, SP_bias_q50, SP_unconstraint_mean, SP_unconstraint_coeff_variation, SP_unconstraint_min,
SP_unconstraint_max, SP_unconstraint_q90, SP_unconstraint_q10, SP_unconstraint_q75, SP_unconstraint_q25,
SP_unconstraint_q50, saps_BestSolution_Mean, saps_BestSolution_CoeffVariance, saps_FirstLocalMinStep_Mean, saps_FirstLocalMinStep_CoeffVariance,
saps_FirstLocalMinStep_Median, saps_FirstLocalMinStep_Q10, saps_FirstLocalMinStep_Q90, saps_BestAvgImprovement_Mean, saps_BestAvgImprovement_CoeffVariance,
saps_FirstLocalMinRatio_Mean, saps_FirstLocalMinRatio_CoeffVariance, gsat_BestSolution_Mean, gsat_BestSolution_CoeffVariance, gsat_FirstLocalMinStep_Mean,
gsat_FirstLocalMinStep_CoeffVariance, gsat_FirstLocalMinStep_Median, gsat_FirstLocalMinStep_Q10, gsat_FirstLocalMinStep_Q90, gsat_BestAvgImprovement_Mean,
gsat_BestAvgImprovement_CoeffVariance, gsat_FirstLocalMinRatio_Mean, gsat_FirstLocalMinRatio_CoeffVariance, lobjois_mean_depth_over_vars, lobjois_log_num_nodes_over_vars,