10
folds and 1
repetitions.The performance is measured in three different ways.
algo | model | succ | par10 | mcp |
---|---|---|---|---|
baseline | vbs | 1.000 | 0.160 | 0.000 |
baseline | singleBest | 0.990 | 0.373 | 0.123 |
baseline | singleBestByPar | 0.990 | 0.373 | 0.123 |
baseline | singleBestBySuccesses | 0.990 | 0.391 | 0.141 |
classif | rpart | 0.770 | 2.456 | 0.108 |
classif | randomForest | 0.780 | 2.320 | 0.066 |
classif | ksvm | 0.790 | 2.222 | 0.067 |
cluster | XMeans | 0.760 | 2.566 | 0.130 |
regr | lm | 0.610 | 4.079 | 0.307 |
regr | rpart | 0.750 | 2.611 | 0.100 |
regr | randomForest | 0.780 | 2.309 | 0.064 |
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
22
to 1
, resulting in a PAR10 score of 2.565
for the reduced model. Analogously, the model that was generated based on 1
of the originally 82
features resulted in a PAR10 score of 2.128
.
Below, you can find the list of the selected features and solvers:
Selected Features:
s_goal
Selected Solvers:
LCG.Glucose.free