10
folds and 1
repetitions.The performance is measured in three different ways.
algo | model | succ | par10 | mcp |
---|---|---|---|---|
baseline | vbs | 0.830 | 2061.802 | 0.000 |
baseline | singleBest | 0.720 | 3372.451 | 122.649 |
baseline | singleBestByPar | 0.720 | 3372.451 | 122.649 |
baseline | singleBestBySuccesses | 0.720 | 3372.451 | 122.649 |
classif | rpart | 0.730 | 3280.147 | 138.178 |
classif | randomForest | 0.760 | 2890.453 | 72.435 |
classif | ksvm | 0.790 | 2533.620 | 39.595 |
cluster | XMeans | 0.750 | 3018.366 | 92.350 |
regr | lm | 0.570 | 5240.658 | 370.730 |
regr | rpart | 0.720 | 3385.046 | 135.044 |
regr | randomForest | 0.760 | 2898.195 | 80.170 |
The following default feature steps were used for model building:
base
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 95
/ 95
instance features:
c_avg_deg_cons, c_avg_dom_cons, c_avg_domdeg_cons, c_bounds_d, c_bounds_r,
c_bounds_z, c_cv_deg_cons, c_cv_dom_cons, c_cv_domdeg_cons, c_domain,
c_ent_deg_cons, c_ent_dom_cons, c_ent_domdeg_cons, c_logprod_deg_cons, c_logprod_dom_cons,
c_max_deg_cons, c_max_dom_cons, c_max_domdeg_cons, c_min_deg_cons, c_min_dom_cons,
c_min_domdeg_cons, c_num_cons, c_priority, c_ratio_cons, c_sum_ari_cons,
c_sum_dom_cons, c_sum_domdeg_cons, d_array_cons, d_bool_cons, d_bool_vars,
d_float_cons, d_float_vars, d_int_cons, d_int_vars, d_ratio_array_cons,
d_ratio_bool_cons, d_ratio_bool_vars, d_ratio_float_cons, d_ratio_float_vars, d_ratio_int_cons,
d_ratio_int_vars, d_ratio_set_cons, d_ratio_set_vars, d_set_cons, d_set_vars,
gc_diff_globs, gc_global_cons, gc_ratio_diff, gc_ratio_globs, o_deg,
o_deg_avg, o_deg_cons, o_deg_std, o_dom, o_dom_avg,
o_dom_deg, o_dom_std, s_bool_search, s_first_fail, s_goal,
s_indomain_max, s_indomain_min, s_input_order, s_int_search, s_labeled_vars,
s_other_val, s_other_var, s_set_search, v_avg_deg_vars, v_avg_dom_vars,
v_avg_domdeg_vars, v_cv_deg_vars, v_cv_dom_vars, v_cv_domdeg_vars, v_def_vars,
v_ent_deg_vars, v_ent_dom_vars, v_ent_domdeg_vars, v_intro_vars, v_logprod_deg_vars,
v_logprod_dom_vars, v_max_deg_vars, v_max_dom_vars, v_max_domdeg_vars, v_min_deg_vars,
v_min_dom_vars, v_min_domdeg_vars, v_num_aliases, v_num_consts, v_num_vars,
v_ratio_bounded, v_ratio_vars, v_sum_deg_vars, v_sum_dom_vars, v_sum_domdeg_vars
20
to 2
, resulting in a PAR10 score of 2548.355
for the reduced model. Analogously, the model that was generated based on 3
of the originally 82
features resulted in a PAR10 score of 2298.436
.
Below, you can find the list of the selected features and solvers:
Selected Features:
c_cv_domdeg_cons, c_min_dom_cons, gc_global_cons
Selected Solvers:
LCG.Glucose.UC.free, MZN.Gurobi.free