Docs: update customization; revert benchmarks to master

5 years ago · 63816319ed
parent ab8fdad47f
commit 63816319ed
17 changed files with 676 additions and 452 deletions
--- a/benchmark/Makefile
+++ b/benchmark/Makefile
@ -25,10 +25,9 @@ main: $(addsuffix /performance.png, $(CHALLENGES))
 	python benchmark.py charts $*
 clean:
-	rm -rvf */*/*.csv
+	rm -rvf $(CHALLENGES)
 	rm -rvf */*/*.png
-clean-ml: clean-charts
+clean-ml:
 	rm -rvf */*/benchmark_ml.csv
 clean-charts:
--- a/benchmark/benchmark.py
+++ b/benchmark/benchmark.py
@ -16,12 +16,12 @@ Options:
 """
 from docopt import docopt
 import importlib, pathlib
-from miplearn import LearningSolver, BenchmarkRunner, BranchPriorityComponent
+from miplearn import (LearningSolver, BenchmarkRunner)
 from numpy import median
 import pyomo.environ as pe
 import pickle
 import logging
 import sys
 import multiprocessing
 logging.basicConfig(format='%(asctime)s %(levelname).1s %(name)s: %(message)12s',
                    datefmt='%H:%M:%S',
@ -32,12 +32,9 @@ logging.getLogger('pyomo.core').setLevel(logging.ERROR)
 logging.getLogger('miplearn').setLevel(logging.INFO)
 logger = logging.getLogger("benchmark")
-n_jobs = multiprocessing.cpu_count() // 4
+n_jobs = 10
 logger.info("Running %d jobs in parallel" % n_jobs)
 train_time_limit = 3600
 test_time_limit = 900
 test_node_limit = 1_000_000
 internal_solver = "gurobi"
 args = docopt(__doc__)
@ -62,12 +59,11 @@ def train():
    pkg = importlib.import_module("miplearn.problems.%s" % problem_name)
    challenge = getattr(pkg, challenge_name)()
    train_instances = challenge.training_instances
-    test_instances = challenge.test_instances
+    test_instances  = challenge.test_instances
    solver = LearningSolver(time_limit=train_time_limit,
-                            solver=internal_solver)
+                            solver=internal_solver,
-    solver.add(BranchPriorityComponent())
+                            components={})
    solver.parallel_solve(train_instances, n_jobs=n_jobs)
    solver.fit(train_instances)
    save(train_instances, "%s/train_instances.bin" % basepath)
    save(test_instances, "%s/test_instances.bin" % basepath)
@ -77,7 +73,6 @@ def test_baseline():
    solvers = {
        "baseline": LearningSolver(
            time_limit=test_time_limit,
            node_limit=test_node_limit,
            solver=internal_solver,
        ),
    }
@ -93,17 +88,14 @@ def test_ml():
    solvers = {
        "ml-exact": LearningSolver(
            time_limit=test_time_limit,
            node_limit=test_node_limit,
            solver=internal_solver,
        ),
        "ml-heuristic": LearningSolver(
            time_limit=test_time_limit,
            node_limit=test_node_limit,
            solver=internal_solver,
            mode="heuristic",
        ),
    }
    solvers["ml-exact"].add(BranchPriorityComponent())
    benchmark = BenchmarkRunner(solvers)
    logger.info("Loading results...")
    benchmark.load_results("%s/benchmark_baseline.csv" % basepath)
@ -134,16 +126,16 @@ def charts():
        obj_column = "Lower Bound"
        predicted_obj_column = "Predicted LB"
-    palette = {
+    palette={
        "baseline": "#9b59b6", 
        "ml-exact": "#3498db",
        "ml-heuristic": "#95a5a6"
    }
    fig, (ax1, ax2, ax3, ax4) = plt.subplots(nrows=1,
                                             ncols=4,
-                                             figsize=(12, 4),
+                                             figsize=(12,4),
                                             gridspec_kw={'width_ratios': [2, 1, 1, 2]},
-                                             )
+                                            )
    sns.stripplot(x="Solver",
                  y="Wallclock Time",
                  data=results,
@ -151,7 +143,7 @@ def charts():
                  jitter=0.25,
                  palette=palette,
                  size=4.0,
-                  );
+               );
    sns.barplot(x="Solver",
                y="Wallclock Time",
                data=results,
@ -160,7 +152,7 @@ def charts():
                alpha=0.4,
                palette=palette,
                estimator=median,
-                );
+               );
    ax1.set(ylabel='Wallclock Time (s)')
    ax2.set_ylim(-0.5, 5.5)
    sns.stripplot(x="Solver",
@ -170,15 +162,15 @@ def charts():
                  ax=ax2,
                  palette=palette,
                  size=4.0,
-                  );
+                 );
-    # ax3.set_ylim(0.95,1.05)
+    ax3.set_ylim(0.95,1.05)
    sns.stripplot(x="Solver",
                  y=primal_column,
                  jitter=0.25,
                  data=results[results["Solver"] == "ml-heuristic"],
                  ax=ax3,
                  palette=palette,
-                  );
+                 );
    sns.scatterplot(x=obj_column,
                    y=predicted_obj_column,
@ -186,7 +178,7 @@ def charts():
                    data=results[results["Solver"] == "ml-exact"],
                    ax=ax4,
                    palette=palette,
-                    );
+                   );
    xlim, ylim = ax4.get_xlim(), ax4.get_ylim()
    ax4.plot([-1e10, 1e10], [-1e10, 1e10], ls='-', color="#cccccc");
    ax4.set_xlim(xlim)
@ -198,7 +190,6 @@ def charts():
                bbox_inches='tight',
                dpi=150)
 if __name__ == "__main__":
    if args["train"]:
        train()
--- a/benchmark/knapsack/ChallengeA/benchmark_baseline.csv
+++ b/benchmark/knapsack/ChallengeA/benchmark_baseline.csv
@ -1,51 +1,51 @@
-,Solver,Instance,Wallclock Time,Lower Bound,Upper Bound,Gap,Nodes,Mode,Sense,Predicted LB,Predicted UB,Relative Lower Bound,Relative Upper Bound,Relative Wallclock Time,Relative Gap,Relative Nodes
+,Solver,Instance,Wallclock Time,Lower Bound,Upper Bound,Gap,Nodes,Mode,Relative Lower Bound,Relative Upper Bound,Relative Wallclock Time,Relative Gap,Relative Nodes
-0,baseline,0,70.42135906219482,59113.0,59284.0,0.00289276470488725,1000705,exact,max,,,1.0,1.0,1.0,1.0,1.0
+0,baseline,0,662.7372989654541,59162.0,59167.0,8.451370812345763e-05,18688107.0,exact,1.0,1.0,1.0,1.0,1.0
-1,baseline,1,71.4270031452179,59137.0,59322.0,0.003128329134044676,1000013,exact,max,,,1.0,1.0,1.0,1.0,1.0
+1,baseline,1,900.0007548332214,59137.0,59256.0,0.002012276578115224,24175550.0,exact,1.0,1.0,1.0,1.0,1.0
-2,baseline,2,69.50715589523315,59186.0,59345.0,0.002686446119014632,1000226,exact,max,,,1.0,1.0,1.0,1.0,1.0
+2,baseline,2,900.0016160011292,59186.0,59285.0,0.0016726928665562802,24089218.0,exact,1.0,1.0,1.0,1.0,1.0
-3,baseline,3,74.09797096252441,59145.0,59302.0,0.0026544931946910137,1000456,exact,max,,,1.0,1.0,1.0,1.0,1.0
+3,baseline,3,900.0023140907288,59145.0,59231.0,0.0014540535970918927,24595759.0,exact,1.0,1.0,1.0,1.0,1.0
-4,baseline,4,71.66170287132263,59142.0,59292.0,0.0025362686415745157,1000459,exact,max,,,1.0,1.0,1.0,1.0,1.0
+4,baseline,4,900.0024960041046,59142.0,59213.0,0.0012005004903452706,25467171.0,exact,1.0,1.0,1.0,1.0,1.0
-5,baseline,5,73.41511583328247,59126.0,59307.0,0.00306125900619017,1000038,exact,max,,,1.0,1.0,1.0,1.0,1.0
+5,baseline,5,900.002925157547,59126.0,59244.0,0.0019957379156377904,23457042.0,exact,1.0,1.0,1.0,1.0,1.0
-6,baseline,6,73.41207909584045,59115.0,59296.0,0.0030618286390932926,1000578,exact,max,,,1.0,1.0,1.0,1.0,1.0
+6,baseline,6,900.0031039714813,59125.0,59236.97169757604,0.0018938130668251741,24240772.0,exact,1.0,1.0,1.0,1.0,1.0
-7,baseline,7,70.86374998092651,59095.0,59277.0,0.0030797867839918776,1000701,exact,max,,,1.0,1.0,1.0,1.0,1.0
+7,baseline,7,900.002781867981,59105.0,59212.0,0.001810337534895525,24042592.0,exact,1.0,1.0,1.0,1.0,1.0
-8,baseline,8,67.79171895980835,59140.0,59320.0,0.003043625295908015,1000609,exact,max,,,1.0,1.0,1.0,1.0,1.0
+8,baseline,8,900.0021660327911,59169.0,59251.0,0.0013858608392908448,25512146.0,exact,1.0,1.0,1.0,1.0,1.0
-9,baseline,9,72.5014169216156,59116.0,59320.949428988,0.003466902851816804,1000634,exact,max,,,1.0,1.0,1.0,1.0,1.0
+9,baseline,9,900.0015439987183,59130.0,59256.0,0.00213089802130898,23227790.0,exact,1.0,1.0,1.0,1.0,1.0
-10,baseline,10,70.24692487716675,59127.0,59276.0,0.0025199993234901147,1000328,exact,max,,,1.0,1.0,1.0,1.0,1.0
+10,baseline,10,900.0024099349976,59127.0,59201.0,0.0012515432881762985,25015636.0,exact,1.0,1.0,1.0,1.0,1.0
-11,baseline,11,70.154865026474,59198.0,59348.0,0.0025338693874793067,1000544,exact,max,,,1.0,1.0,1.0,1.0,1.0
+11,baseline,11,900.0025849342346,59198.0,59289.0,0.0015372140950707794,24558832.0,exact,1.0,1.0,1.0,1.0,1.0
-12,baseline,12,76.15164113044739,59102.0,59288.0,0.003147101620926534,1000054,exact,max,,,1.0,1.0,1.0,1.0,1.0
+12,baseline,12,900.0022029876709,59102.0,59224.0,0.002064227944908802,24026788.0,exact,1.0,1.0,1.0,1.0,1.0
-13,baseline,13,71.0146369934082,59150.0,59287.0,0.00231614539306847,1000385,exact,max,,,1.0,1.0,1.0,1.0,1.0
+13,baseline,13,900.0011007785797,59150.0,59206.0,0.0009467455621301775,24953207.0,exact,1.0,1.0,1.0,1.0,1.0
-14,baseline,14,72.78574514389038,59165.0,59321.0,0.0026366939913800387,1000144,exact,max,,,1.0,1.0,1.0,1.0,1.0
+14,baseline,14,900.0014700889587,59169.0,59250.0,0.0013689600973482736,25494260.0,exact,1.0,1.0,1.0,1.0,1.0
-15,baseline,15,72.70145797729492,59083.0,59261.0,0.0030127109320786014,1000093,exact,max,,,1.0,1.0,1.0,1.0,1.0
+15,baseline,15,900.0013790130615,59083.0,59196.0,0.0019125636816004605,23792716.0,exact,1.0,1.0,1.0,1.0,1.0
-16,baseline,16,72.70431399345398,59126.0,59293.0,0.0028244765416229746,1000184,exact,max,,,1.0,1.0,1.0,1.0,1.0
+16,baseline,16,900.0020098686218,59126.0,59233.0,0.0018096945506207082,23398798.0,exact,1.0,1.0,1.0,1.0,1.0
-17,baseline,17,67.70325493812561,59156.0,59290.0,0.0022651971059571303,1000033,exact,max,,,1.0,1.0,1.0,1.0,1.0
+17,baseline,17,900.0023510456085,59156.0,59197.0,0.0006930826965988235,25573586.0,exact,1.0,1.0,1.0,1.0,1.0
-18,baseline,18,68.9480299949646,59107.0,59270.0,0.0027577105926540006,1000050,exact,max,,,1.0,1.0,1.0,1.0,1.0
+18,baseline,18,900.002711057663,59118.0,59211.0,0.0015731249365675429,24489136.0,exact,1.0,1.0,1.0,1.0,1.0
-19,baseline,19,68.68335199356079,59159.0,59282.0,0.0020791426494700723,1000157,exact,max,,,1.0,1.0,1.0,1.0,1.0
+19,baseline,19,724.1934628486633,59159.0,59164.0,8.451799388089724e-05,20931760.0,exact,1.0,1.0,1.0,1.0,1.0
-20,baseline,20,71.09696197509766,59068.006956937425,59250.96970984195,0.00309749325109125,1000031,exact,max,,,1.0,1.0,1.0,1.0,1.0
+20,baseline,20,900.0011439323425,59068.0,59191.0,0.0020823457709758246,23411794.0,exact,1.0,1.0,1.0,1.0,1.0
-21,baseline,21,65.33107399940491,59175.0,59283.98170493022,0.001841684916438055,1000821,exact,max,,,1.0,1.0,1.0,1.0,1.0
+21,baseline,21,380.06568694114685,59175.0,59180.0,8.449514152936207e-05,11618526.0,exact,1.0,1.0,1.0,1.0,1.0
-22,baseline,22,68.68796896934509,59121.0,59246.0,0.002114307944723533,1000075,exact,max,,,1.0,1.0,1.0,1.0,1.0
+22,baseline,22,900.0016028881073,59121.0,59154.94711904252,0.0005741973079365614,26352886.0,exact,1.0,1.0,1.0,1.0,1.0
-23,baseline,23,67.72725200653076,59193.0,59288.0,0.001604919500616627,1000066,exact,max,,,1.0,1.0,1.0,1.0,1.0
+23,baseline,23,230.25152111053467,59193.0,59198.0,8.44694474008751e-05,6776049.0,exact,1.0,1.0,1.0,1.0,1.0
-24,baseline,24,69.30689406394958,59162.0,59304.0,0.0024001893107061965,1000352,exact,max,,,1.0,1.0,1.0,1.0,1.0
+24,baseline,24,900.0010840892792,59162.0,59240.0,0.001318413846725939,24727727.0,exact,1.0,1.0,1.0,1.0,1.0
-25,baseline,25,73.5184109210968,59088.0,59278.0,0.003215542919036014,1000151,exact,max,,,1.0,1.0,1.0,1.0,1.0
+25,baseline,25,900.0015320777893,59096.0,59210.0,0.001929064572898335,23438919.0,exact,1.0,1.0,1.0,1.0,1.0
-26,baseline,26,71.44733309745789,59089.0,59268.0,0.0030293286398483644,1000661,exact,max,,,1.0,1.0,1.0,1.0,1.0
+26,baseline,26,900.0015478134155,59089.0,59203.0,0.001929293100238623,23826788.0,exact,1.0,1.0,1.0,1.0,1.0
-27,baseline,27,71.64505815505981,59153.0,59307.0,0.0026034182543573444,1000299,exact,max,,,1.0,1.0,1.0,1.0,1.0
+27,baseline,27,900.0010070800781,59153.0,59249.0,0.0016229100806383447,24336831.0,exact,1.0,1.0,1.0,1.0,1.0
-28,baseline,28,70.63702201843262,59112.0,59279.0,0.0028251454865340373,1000017,exact,max,,,1.0,1.0,1.0,1.0,1.0
+28,baseline,28,900.001277923584,59112.0,59208.0,0.0016240357287860333,25111591.0,exact,1.0,1.0,1.0,1.0,1.0
-29,baseline,29,70.94550395011902,59178.0,59335.0,0.002653012943999459,1000577,exact,max,,,1.0,1.0,1.0,1.0,1.0
+29,baseline,29,900.0012440681458,59182.0,59263.0,0.0013686593896792944,24919871.0,exact,1.0,1.0,1.0,1.0,1.0
-30,baseline,30,76.50913286209106,59112.0,59308.0,0.0033157396129381515,1000445,exact,max,,,1.0,1.0,1.0,1.0,1.0
+30,baseline,30,900.0012910366058,59134.0,59241.0,0.001809449724354855,23615391.0,exact,1.0,1.0,1.0,1.0,1.0
-31,baseline,31,69.87212085723877,59082.0,59226.0,0.0024372905453437597,1000311,exact,max,,,1.0,1.0,1.0,1.0,1.0
+31,baseline,31,900.0023548603058,59082.0,59169.0,0.0014725297044785213,26213904.0,exact,1.0,1.0,1.0,1.0,1.0
-32,baseline,32,68.88597083091736,59175.0,59304.0,0.002179974651457541,1000341,exact,max,,,1.0,1.0,1.0,1.0,1.0
+32,baseline,32,875.9193549156189,59175.0,59180.0,8.449514152936207e-05,24935695.0,exact,1.0,1.0,1.0,1.0,1.0
-33,baseline,33,76.56814217567444,59060.0,59244.0,0.0031154757873349138,1000419,exact,max,,,1.0,1.0,1.0,1.0,1.0
+33,baseline,33,900.0018489360809,59088.0,59177.0,0.0015062279989168698,25210167.0,exact,1.0,1.0,1.0,1.0,1.0
-34,baseline,34,68.0914659500122,59190.0,59295.0,0.0017739483020780538,1000439,exact,max,,,1.0,1.0,1.0,1.0,1.0
+34,baseline,34,232.1541509628296,59190.0,59195.0,8.447372867038352e-05,7309410.0,exact,1.0,1.0,1.0,1.0,1.0
-35,baseline,35,68.29537415504456,59183.0,59324.0,0.002382440903637869,1000126,exact,max,,,1.0,1.0,1.0,1.0,1.0
+35,baseline,35,900.0025398731232,59183.0,59262.0,0.001334842775797104,23927493.0,exact,1.0,1.0,1.0,1.0,1.0
-36,baseline,36,68.21022391319275,59166.0,59317.0,0.002552141432579522,1000509,exact,max,,,1.0,1.0,1.0,1.0,1.0
+36,baseline,36,900.0010929107666,59166.0,59254.0,0.00148734070243045,25589946.0,exact,1.0,1.0,1.0,1.0,1.0
-37,baseline,37,66.71046090126038,59202.0,59326.0,0.0020945238336542685,1000162,exact,max,,,1.0,1.0,1.0,1.0,1.0
+37,baseline,37,622.9371509552002,59202.0,59207.0,8.445660619573663e-05,18595087.0,exact,1.0,1.0,1.0,1.0,1.0
-38,baseline,38,65.11834216117859,59212.0,59326.0,0.001925285415118557,1000389,exact,max,,,1.0,1.0,1.0,1.0,1.0
+38,baseline,38,557.924427986145,59212.0,59217.0,8.444234276835777e-05,16270407.0,exact,1.0,1.0,1.0,1.0,1.0
-39,baseline,39,67.9243791103363,59143.0,59275.0,0.002231878666959742,1000316,exact,max,,,1.0,1.0,1.0,1.0,1.0
+39,baseline,39,900.0010092258453,59143.0,59185.0,0.0007101432122144632,26304077.0,exact,1.0,1.0,1.0,1.0,1.0
-40,baseline,40,71.18170309066772,59158.0,59302.98773577507,0.002450855941293934,1000400,exact,max,,,1.0,1.0,1.0,1.0,1.0
+40,baseline,40,900.0011250972748,59158.0,59242.99535479154,0.0014367516615088902,23949337.0,exact,1.0,1.0,1.0,1.0,1.0
-41,baseline,41,74.35732889175415,59113.0,59319.0,0.0034848510479928273,1000410,exact,max,,,1.0,1.0,1.0,1.0,1.0
+41,baseline,41,900.000893831253,59170.0,59257.0,0.0014703396991718777,24299427.0,exact,1.0,1.0,1.0,1.0,1.0
-42,baseline,42,73.8943190574646,59065.0,59276.0,0.0035723355625158723,1000095,exact,max,,,1.0,1.0,1.0,1.0,1.0
+42,baseline,42,900.0017001628876,59089.0,59228.0,0.002352383692396216,23229681.0,exact,1.0,1.0,1.0,1.0,1.0
-43,baseline,43,64.76473903656006,59232.0,59312.0,0.001350621285791464,1000686,exact,max,,,1.0,1.0,1.0,1.0,1.0
+43,baseline,43,127.60789799690247,59232.0,59237.0,8.44138303619665e-05,4041704.0,exact,1.0,1.0,1.0,1.0,1.0
-44,baseline,44,65.31527090072632,59201.0,59288.0,0.001469569770780899,1000006,exact,max,,,1.0,1.0,1.0,1.0,1.0
+44,baseline,44,166.38699293136597,59201.0,59206.0,8.445803280349994e-05,5151689.0,exact,1.0,1.0,1.0,1.0,1.0
-45,baseline,45,73.93205189704895,59117.0,59319.0,0.0034169528223692,1000388,exact,max,,,1.0,1.0,1.0,1.0,1.0
+45,baseline,45,900.0007989406586,59135.0,59247.0,0.001893971421324089,26922402.0,exact,1.0,1.0,1.0,1.0,1.0
-46,baseline,46,72.88703107833862,59126.0,59324.0,0.0033487805703074787,1000221,exact,max,,,1.0,1.0,1.0,1.0,1.0
+46,baseline,46,900.001415014267,59152.0,59254.0,0.001724371111712199,26485728.0,exact,1.0,1.0,1.0,1.0,1.0
-47,baseline,47,72.83606815338135,59115.0,59307.0,0.003247906622684598,1000673,exact,max,,,1.0,1.0,1.0,1.0,1.0
+47,baseline,47,900.0020279884338,59123.0,59235.0,0.0018943558344468312,28222784.0,exact,1.0,1.0,1.0,1.0,1.0
-48,baseline,48,53.76883912086487,59176.0,59354.0,0.0030079762065702313,1000618,exact,max,,,1.0,1.0,1.0,1.0,1.0
+48,baseline,48,900.0011022090912,59176.0,59284.0,0.0018250642152223874,28675410.0,exact,1.0,1.0,1.0,1.0,1.0
-49,baseline,49,50.725261926651,59135.0,59301.0,0.002807136213748203,1000283,exact,max,,,1.0,1.0,1.0,1.0,1.0
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--- a/benchmark/knapsack/ChallengeA/benchmark_ml.csv
+++ b/benchmark/knapsack/ChallengeA/benchmark_ml.csv
@ -1,151 +1,151 @@
-,Solver,Instance,Wallclock Time,Lower Bound,Upper Bound,Gap,Nodes,Mode,Sense,Predicted LB,Predicted UB,Relative Lower Bound,Relative Upper Bound,Relative Wallclock Time,Relative Gap,Relative Nodes
+,Solver,Instance,Wallclock Time,Lower Bound,Upper Bound,Gap,Nodes,Mode,Relative Lower Bound,Relative Upper Bound,Relative Wallclock Time,Relative Gap,Relative Nodes,Predicted LB,Predicted UB,Sense
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--- a/benchmark/knapsack/ChallengeA/performance.png
+++ b/benchmark/knapsack/ChallengeA/performance.png
--- a/benchmark/stab/ChallengeA/benchmark_baseline.csv
+++ b/benchmark/stab/ChallengeA/benchmark_baseline.csv
@ -0,0 +1,51 @@
 ,Solver,Instance,Wallclock Time,Lower Bound,Upper Bound,Gap,Nodes,Relative Lower Bound,Relative Upper Bound,Relative Wallclock Time,Relative Gap,Relative Nodes
 0,baseline,0,89.5249240398407,8160.106459602758,8160.106459602758,0.0,50428.0,1.0,1.0,1.0,,1.0
 1,baseline,1,68.46735715866089,8329.665354500348,8329.665354500348,0.0,36735.0,1.0,1.0,1.0,,1.0
 2,baseline,2,131.6971151828766,8247.871141626507,8247.871141626507,0.0,77216.0,1.0,1.0,1.0,,1.0
 3,baseline,3,32.94829607009888,8386.859108879815,8386.859108879815,0.0,17422.0,1.0,1.0,1.0,,1.0
 4,baseline,4,80.09613800048828,8197.045478427175,8197.045478427175,0.0,47823.0,1.0,1.0,1.0,,1.0
 5,baseline,5,70.24885201454163,8184.416683317542,8184.416683317542,0.0,37633.0,1.0,1.0,1.0,,1.0
 6,baseline,6,76.99211096763611,8146.291920190363,8146.291920190363,0.0,38061.0,1.0,1.0,1.0,,1.0
 7,baseline,7,90.94351601600647,8332.628442208696,8332.628442208696,0.0,49185.0,1.0,1.0,1.0,,1.0
 8,baseline,8,91.29237294197083,8189.394992049158,8189.394992049159,1.110576181336875e-16,52509.0,1.0,1.0,1.0,1.0,1.0
 9,baseline,9,59.57663106918335,8264.94306032112,8264.94306032112,0.0,35568.0,1.0,1.0,1.0,,1.0
 10,baseline,10,74.4443690776825,8225.694775199881,8225.694775199881,0.0,38905.0,1.0,1.0,1.0,,1.0
 11,baseline,11,47.8407769203186,8380.21322380759,8380.21322380759,0.0,32029.0,1.0,1.0,1.0,,1.0
 12,baseline,12,40.67424297332764,8335.12040209855,8335.120402098551,2.182319289698426e-16,31346.0,1.0,1.0,1.0,1.0,1.0
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 15,baseline,15,72.18464493751526,8281.242353501702,8281.242353501702,0.0,38504.0,1.0,1.0,1.0,,1.0
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 17,baseline,17,65.91456389427185,8349.788875581982,8349.788875581982,0.0,35240.0,1.0,1.0,1.0,,1.0
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 19,baseline,19,80.3313570022583,8148.698058722395,8148.698058722395,0.0,48047.0,1.0,1.0,1.0,,1.0
 20,baseline,20,34.744563817977905,8254.22546708772,8254.22546708772,0.0,19831.0,1.0,1.0,1.0,,1.0
 21,baseline,21,40.45663404464722,8337.747084077018,8337.747084077018,0.0,18857.0,1.0,1.0,1.0,,1.0
 22,baseline,22,59.21903705596924,8372.097133312143,8372.097133312143,0.0,37278.0,1.0,1.0,1.0,,1.0
 23,baseline,23,80.84772300720215,8163.180180623385,8163.180180623385,0.0,50384.0,1.0,1.0,1.0,,1.0
 24,baseline,24,79.59622597694397,8251.926305990946,8251.926305990948,2.2043209501583402e-16,45222.0,1.0,1.0,1.0,1.0,1.0
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 27,baseline,27,68.43603801727295,8198.51655526816,8198.51655526816,0.0,34134.0,1.0,1.0,1.0,,1.0
 28,baseline,28,38.52493691444397,8429.328796791307,8429.328796791307,0.0,23191.0,1.0,1.0,1.0,,1.0
 29,baseline,29,63.41107797622681,8471.392061275592,8471.392061275594,2.1472142835423904e-16,36104.0,1.0,1.0,1.0,1.0,1.0
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 31,baseline,31,34.113643169403076,8472.780799342136,8472.780799342136,0.0,17604.0,1.0,1.0,1.0,,1.0
 32,baseline,32,63.027442932128906,8176.089207977811,8176.089207977811,0.0,35832.0,1.0,1.0,1.0,,1.0
 33,baseline,33,54.692622900009155,8349.997774829048,8349.997774829048,0.0,36893.0,1.0,1.0,1.0,,1.0
 34,baseline,34,73.5447518825531,8228.164027545597,8228.164027545597,0.0,46086.0,1.0,1.0,1.0,,1.0
 35,baseline,35,32.710362911224365,8348.576374334334,8348.576374334334,0.0,17965.0,1.0,1.0,1.0,,1.0
 36,baseline,36,70.76628684997559,8200.622970997243,8200.622970997245,2.2181112459126466e-16,37770.0,1.0,1.0,1.0,1.0,1.0
 37,baseline,37,36.678386926651,8449.787502150532,8449.787502150532,0.0,20885.0,1.0,1.0,1.0,,1.0
 38,baseline,38,86.8393452167511,8323.602064698229,8323.602064698229,0.0,50488.0,1.0,1.0,1.0,,1.0
 39,baseline,39,61.66756081581116,8230.716290385615,8230.716290385615,0.0,34925.0,1.0,1.0,1.0,,1.0
 40,baseline,40,115.80898809432983,8028.769787381955,8028.769787381955,0.0,69443.0,1.0,1.0,1.0,,1.0
 41,baseline,41,59.32002782821655,8214.630250558439,8214.630250558439,0.0,36252.0,1.0,1.0,1.0,,1.0
 42,baseline,42,27.367344856262207,8482.332346423325,8482.332346423327,2.1444448640506932e-16,10937.0,1.0,1.0,1.0,1.0,1.0
 43,baseline,43,42.98321795463562,8350.150643446867,8350.150643446867,0.0,31065.0,1.0,1.0,1.0,,1.0
 44,baseline,44,64.18663907051086,8325.739376420757,8325.739376420757,0.0,37466.0,1.0,1.0,1.0,,1.0
 45,baseline,45,63.78522491455078,8320.79317232281,8320.793440026451,3.217285123971039e-08,38840.0,1.0,1.0,1.0,1.0,1.0
 46,baseline,46,31.455862998962402,8341.756982876166,8341.756982876166,0.0,16130.0,1.0,1.0,1.0,,1.0
 47,baseline,47,39.206948041915894,8206.985832918781,8206.985832918781,0.0,25335.0,1.0,1.0,1.0,,1.0
 48,baseline,48,62.641757011413574,8197.315974091358,8197.315974091358,0.0,54514.0,1.0,1.0,1.0,,1.0
 49,baseline,49,49.18351912498474,8090.681320538064,8090.681320538064,0.0,38800.0,1.0,1.0,1.0,,1.0
--- a/benchmark/stab/ChallengeA/benchmark_ml.csv
+++ b/benchmark/stab/ChallengeA/benchmark_ml.csv
@ -0,0 +1,151 @@
 ,Solver,Instance,Wallclock Time,Lower Bound,Upper Bound,Gap,Nodes,Relative Lower Bound,Relative Upper Bound,Relative Wallclock Time,Relative Gap,Relative Nodes
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 1,baseline,1,68.46735715866089,8329.665354500348,8329.665354500348,0.0,36735.0,1.0,1.0090376984767917,344.32872346548237,,816.3333333333334
 2,baseline,2,131.6971151828766,8247.871141626507,8247.871141626507,0.0,77216.0,1.0,1.0022162274368718,953.573952433317,,3676.9523809523807
 3,baseline,3,32.94829607009888,8386.859108879815,8386.859108879815,0.0,17422.0,1.0,1.0,355.8521179348526,,17422.0
 4,baseline,4,80.09613800048828,8197.045478427175,8197.045478427175,0.0,47823.0,1.0,1.0,311.613064562208,,1707.9642857142858
 5,baseline,5,70.24885201454164,8184.416683317541,8184.416683317541,0.0,37633.0,0.9999999999999999,1.0,525.1624903084369,,4181.444444444444
 6,baseline,6,76.99211096763611,8146.291920190362,8146.291920190362,0.0,38061.0,0.9999999999999999,1.0,769.5512234529302,,38061.0
 7,baseline,7,90.94351601600648,8332.628442208696,8332.628442208696,0.0,49185.0,1.0,1.0048882560944687,958.3075896894786,,49185.0
 8,baseline,8,91.29237294197084,8189.394992049158,8189.394992049159,1.1105761813368749e-16,52509.0,1.0,1.0000000000000002,1809.7036902252514,inf,52509.0
 9,baseline,9,59.57663106918335,8264.94306032112,8264.94306032112,0.0,35568.0,1.0,1.0,592.7777627536799,,35568.0
 10,baseline,10,74.44436907768251,8225.694775199881,8225.694775199881,0.0,38905.0,1.0,1.0023427358501626,585.1124155571589,,3536.818181818182
 11,baseline,11,47.8407769203186,8380.21322380759,8380.21322380759,0.0,32029.0,1.0,1.0,544.8893215589155,,32029.0
 12,baseline,12,40.674242973327644,8335.12040209855,8335.120402098551,2.1823192896984264e-16,31346.0,1.0,1.0019781200731899,345.41153746477056,inf,1362.8695652173913
 13,baseline,13,82.80278611183168,8180.950128996085,8180.950128996086,1.111722584091263e-16,45396.0,1.0,1.001565824091247,307.7965272971074,inf,648.5142857142857
 14,baseline,14,89.99744701385498,8335.244300219336,8335.244300219336,0.0,47528.0,1.0,1.0,770.7049722222789,,6789.714285714285
 15,baseline,15,72.18464493751527,8281.242353501702,8281.242353501702,0.0,38504.0,1.0,1.0,1800.7002920237667,,38504.0
 16,baseline,16,42.17434501647949,8269.820198565656,8269.820198565656,0.0,23531.0,1.0,1.000403224416854,1410.6559487069069,,23531.0
 17,baseline,17,65.91456389427185,8349.788875581982,8349.788875581982,0.0,35240.0,1.0,1.0,1182.0078197481776,,35240.0
 18,baseline,18,49.87329697608948,8354.975512102363,8354.975512102363,0.0,31665.0,1.0,1.0,843.6224093499328,,31665.0
 19,baseline,19,80.3313570022583,8148.698058722395,8148.698058722395,0.0,48047.0,1.0,1.000966789196668,580.6596204121938,,1779.5185185185185
 20,baseline,20,34.744563817977905,8254.22546708772,8254.22546708772,0.0,19831.0,1.0,1.004384894337412,508.78858964332596,,19831.0
 21,baseline,21,40.45663404464722,8337.747084077018,8337.747084077018,0.0,18857.0,1.0,1.0,462.30308297552364,,18857.0
 22,baseline,22,59.21903705596924,8372.097133312143,8372.097133312143,0.0,37278.0,1.0,1.0,514.5235539407097,,1433.7692307692307
 23,baseline,23,80.84772300720216,8163.180180623385,8163.180180623385,0.0,50384.0,1.0,1.0036539041416717,1353.8923034540035,,50384.0
 24,baseline,24,79.59622597694397,8251.926305990946,8251.926305990948,2.20432095015834e-16,45222.0,1.0,1.002542812972684,327.00203830964284,inf,674.955223880597
 25,baseline,25,43.39374899864197,8208.77608322561,8208.77608322561,0.0,28242.0,1.0,1.0,203.83643836690354,,641.8636363636364
 26,baseline,26,73.4040129184723,8263.930518826672,8263.930518826672,0.0,41508.0,1.0,1.0,1158.157296819456,,41508.0
 27,baseline,27,68.43603801727295,8198.51655526816,8198.51655526816,0.0,34134.0,1.0,1.0,465.76709499137564,,2007.8823529411766
 28,baseline,28,38.52493691444397,8429.328796791307,8429.328796791307,0.0,23191.0,1.0,1.0,212.3627067143475,,1449.4375
 29,baseline,29,63.411077976226814,8471.392061275592,8471.392061275594,2.1472142835423904e-16,36104.0,1.0,1.00713405678795,422.9829560183529,inf,1504.3333333333333
 30,baseline,30,73.6661651134491,8300.292335288888,8300.292335288888,0.0,39931.0,1.0,1.0,752.156311010492,,3327.5833333333335
 31,baseline,31,34.113643169403076,8472.780799342136,8472.780799342136,0.0,17604.0,0.9999999880202372,1.000000008626077,605.9064481022414,,17604.0
 32,baseline,32,63.0274429321289,8176.089207977811,8176.089207977811,0.0,35832.0,1.0,1.0,938.911818608021,,35832.0
 33,baseline,33,54.692622900009155,8349.997774829048,8349.997774829048,0.0,36893.0,1.0,1.0,470.66514905927494,,36893.0
 34,baseline,34,73.54475188255309,8228.164027545597,8228.164027545597,0.0,46086.0,1.0,1.0,433.74928744081916,,2425.5789473684213
 35,baseline,35,32.710362911224365,8348.576374334334,8348.576374334334,0.0,17965.0,1.0,1.0,544.8268431962766,,17965.0
 36,baseline,36,70.7662868499756,8200.622970997243,8200.622970997245,2.2181112459126463e-16,37770.0,1.0,1.0039798679142482,716.773814957293,inf,37770.0
 37,baseline,37,36.678386926651,8449.787502150532,8449.787502150532,0.0,20885.0,1.0,1.0,239.07327432143046,,835.4
 38,baseline,38,86.8393452167511,8323.602064698229,8323.602064698229,0.0,50488.0,1.0,1.0,791.2621177625805,,50488.0
 39,baseline,39,61.66756081581116,8230.716290385615,8230.716290385615,0.0,34925.0,1.0,1.0,310.21299967617745,,1343.2692307692307
 40,baseline,40,115.80898809432985,8028.769787381955,8028.769787381955,0.0,69443.0,1.0,1.0059686353257602,962.877706084664,,69443.0
 41,baseline,41,59.320027828216546,8214.630250558439,8214.630250558439,0.0,36252.0,1.0,1.0,279.402791487412,,2132.470588235294
 42,baseline,42,27.36734485626221,8482.332346423325,8482.332346423327,2.1444448640506927e-16,10937.0,1.0,1.0,296.90942199552,1.0,10937.0
 43,baseline,43,42.98321795463562,8350.150643446867,8350.150643446867,0.0,31065.0,1.0,1.0,786.6613272710613,,31065.0
 44,baseline,44,64.18663907051085,8325.739376420757,8325.739376420757,0.0,37466.0,1.0,1.0,601.5284689994793,,37466.0
 45,baseline,45,63.78522491455078,8320.793172322808,8320.793440026451,3.2172851239710385e-08,38840.0,0.9999999999999998,1.0000000321728513,716.7763545319855,inf,38840.0
 46,baseline,46,31.4558629989624,8341.756982876166,8341.756982876166,0.0,16130.0,1.0,1.0,613.653265116279,,16130.0
 47,baseline,47,39.20694804191589,8206.985832918781,8206.985832918781,0.0,25335.0,1.0,1.0,280.93451131197753,,25335.0
 48,baseline,48,62.641757011413574,8197.315974091358,8197.315974091358,0.0,54514.0,1.0,1.0073005569898068,261.05295308194985,,746.7671232876712
 49,baseline,49,49.18351912498474,8090.681320538064,8090.681320538064,0.0,38800.0,1.0,1.0026687299831225,375.8371656618988,,38800.0
 50,ml-exact,0,34.49193096160889,8160.106459602758,8160.106459602758,0.0,32951.0,1.0,1.0000000000000002,356.1081397753119,,32951.0
 51,ml-exact,1,39.43942403793335,8329.665354500348,8329.665354500348,0.0,33716.0,1.0,1.0090376984767917,198.34454105955817,,749.2444444444444
 52,ml-exact,2,54.0330810546875,8247.871141626507,8247.871141626507,0.0,48098.0,1.0,1.0022162274368718,391.2351351957892,,2290.3809523809523
 53,ml-exact,3,15.311645030975342,8386.859108879815,8386.859108879815,0.0,10140.0,1.0,1.0,165.37065533668084,,10140.0
 54,ml-exact,4,24.112047910690308,8197.045478427175,8197.045478427175,0.0,32151.0,1.0,1.0,93.80763330031203,,1148.25
 55,ml-exact,5,33.69559407234192,8184.416683317542,8184.416683317542,0.0,31637.0,1.0,1.0000000000000002,251.89966224345207,,3515.222222222222
 56,ml-exact,6,25.395578861236572,8146.291920190363,8146.291920190363,0.0,18684.0,1.0,1.0000000000000002,253.83378293361804,,18684.0
 57,ml-exact,7,45.65329885482788,8332.628442208696,8332.628442208696,0.0,34261.0,1.0,1.0048882560944687,481.0667621344588,,34261.0
 58,ml-exact,8,45.959444999694824,8189.394992049158,8189.394992049158,0.0,32915.0,1.0,1.0,911.0616203340486,,32915.0
 59,ml-exact,9,27.292019844055176,8264.94306032112,8264.94306032112,0.0,22256.0,1.0,1.0,271.551146378204,,22256.0
 60,ml-exact,10,33.28360414505005,8225.694775199881,8225.694775199883,2.2113504734336021e-16,32743.0,1.0,1.0023427358501629,261.6000412259086,inf,2976.6363636363635
 61,ml-exact,11,13.287060976028442,8380.21322380759,8380.21322380759,0.0,15760.0,1.0,1.0,151.33486759210984,,15760.0
 62,ml-exact,12,30.385483980178833,8335.12040209855,8335.12040209855,0.0,26800.0,1.0,1.0019781200731896,258.03791222585767,,1165.2173913043478
 63,ml-exact,13,53.78090000152588,8180.950128996085,8180.950128996085,0.0,38849.0,1.0,1.0015658240912468,199.91566748763452,,554.9857142857143
 64,ml-exact,14,32.64224600791931,8335.244300219336,8335.244300219336,0.0,30763.0,1.0,1.0,279.53616616406106,,4394.714285714285
 65,ml-exact,15,33.97071599960327,8281.242353501702,8281.242353501702,0.0,30903.0,1.0,1.0,847.425075979707,,30903.0
 66,ml-exact,16,34.40068793296814,8269.820198565656,8269.820198565656,0.0,25773.0,1.0,1.000403224416854,1150.6411078414953,,25773.0
 67,ml-exact,17,29.94601798057556,8349.788875581982,8349.788875581982,0.0,26524.0,1.0,1.0,537.0046516599328,,26524.0
 68,ml-exact,18,26.21188998222351,8354.975512102363,8354.975512102363,0.0,23595.0,1.0,1.0,443.3823132050057,,23595.0
 69,ml-exact,19,44.91053318977356,8148.698058722395,8148.698058722396,1.1161227170509796e-16,36233.0,1.0,1.0009667891966683,324.6270712662061,inf,1341.962962962963
 70,ml-exact,20,24.929107904434204,8254.22546708772,8254.225467087721,2.20370695082023e-16,19171.0,1.0,1.0043848943374123,365.0541051029243,inf,19171.0
 71,ml-exact,21,23.808892011642456,8337.747084077018,8337.74708407702,2.1816317827865812e-16,16213.0,1.0,1.0000000000000002,272.0672255399839,inf,16213.0
 72,ml-exact,22,29.496449947357178,8372.097133312143,8372.097133312145,2.1726807209488663e-16,23405.0,1.0,1.0000000000000002,256.27938261145164,inf,900.1923076923077
 73,ml-exact,23,54.53324818611145,8163.180180623385,8163.180180623385,0.0,44205.0,1.0,1.0036539041416717,913.2247916857979,,44205.0
 74,ml-exact,24,35.66223120689392,8251.926305990946,8251.926305990948,2.2043209501583402e-16,30816.0,1.0,1.002542812972684,146.50973902584275,inf,459.94029850746267
 75,ml-exact,25,29.14737296104431,8208.77608322561,8208.776083225612,2.2159081757180675e-16,25610.0,1.0,1.0000000000000002,136.9159574646799,inf,582.0454545454545
 76,ml-exact,26,27.671333074569702,8263.930518826672,8263.930518826672,0.0,19654.0,1.0,1.0,436.59406398705966,,19654.0
 77,ml-exact,27,33.428922176361084,8198.51655526816,8198.51655526816,0.0,34427.0,1.0,1.0,227.5130533834623,,2025.1176470588234
 78,ml-exact,28,26.386518955230713,8429.328796791307,8429.328796791307,0.0,21051.0,1.0,1.0,145.45157072019325,,1315.6875
 79,ml-exact,29,32.452534914016724,8471.392061275592,8471.392061275594,2.1472142835423904e-16,25241.0,1.0,1.00713405678795,216.47430679803114,inf,1051.7083333333333
 80,ml-exact,30,33.65191102027893,8300.292335288888,8300.292335288888,0.0,27290.0,1.0,1.0,343.59732466710483,,2274.1666666666665
 81,ml-exact,31,26.8163058757782,8472.780900844042,8472.780900844042,0.0,17085.0,1.0,1.00000002060584,476.29543885799944,,17085.0
 82,ml-exact,32,27.298824071884155,8176.089207977811,8176.089207977811,0.0,21127.0,1.0,1.0,406.66711773146375,,21127.0
 83,ml-exact,33,27.07152795791626,8349.997774829048,8349.997774829048,0.0,20768.0,1.0,1.0,232.96788608711708,,20768.0
 84,ml-exact,34,51.8715980052948,8228.164027545597,8228.164027545597,0.0,42602.0,1.0,1.0,305.92622991159624,,2242.2105263157896
 85,ml-exact,35,26.559547185897827,8348.576374334334,8348.576374334334,0.0,15315.0,1.0,1.0,442.37828511067517,,15315.0
 86,ml-exact,36,42.17573404312134,8200.622970997243,8200.622970997245,2.2181112459126466e-16,32284.0,1.0,1.0039798679142482,427.1873392594525,inf,32284.0
 87,ml-exact,37,20.249451875686646,8449.787502150532,8449.787502150532,0.0,13815.0,1.0,1.0,131.9878862943405,,552.6
 88,ml-exact,38,34.309616804122925,8323.602064698229,8323.602064698229,0.0,31546.0,1.0,1.0,312.62211828396147,,31546.0
 89,ml-exact,39,28.144772052764893,8230.716290385615,8230.716290385615,0.0,22759.0,1.0,1.0,141.57969032969933,,875.3461538461538
 90,ml-exact,40,54.61736702919006,8028.769787381955,8028.769787381955,0.0,46343.0,1.0,1.0059686353257602,454.1084931561159,,46343.0
 91,ml-exact,41,30.99381184577942,8214.630250558439,8214.630250558439,0.0,28492.0,1.0,1.0,145.98370677815547,,1676.0
 92,ml-exact,42,19.046553134918213,8482.332346423325,8482.332346423327,2.1444448640506932e-16,9292.0,1.0,1.0,206.6368188802036,1.0000000000000002,9292.0
 93,ml-exact,43,29.105360984802246,8350.150643446867,8350.150643446867,0.0,24245.0,1.0,1.0,532.674448133975,,24245.0
 94,ml-exact,44,28.813607215881348,8325.739376420757,8325.739376420757,0.0,22941.0,1.0,1.0,270.0282377440192,,22941.0
 95,ml-exact,45,39.90794801712036,8320.79317232281,8320.79317232281,0.0,33304.0,1.0,1.0,448.459240127851,,33304.0
 96,ml-exact,46,23.966022968292236,8341.756982876166,8341.756982876166,0.0,16789.0,1.0,1.0,467.53853953488374,,16789.0
 97,ml-exact,47,27.642159938812256,8206.985832918781,8206.985832918781,0.0,24637.0,1.0,1.0,198.0678701569822,,24637.0
 98,ml-exact,48,33.94082999229431,8197.315974091358,8197.315974091358,0.0,33963.0,1.0,1.0073005569898068,141.44484960609344,,465.24657534246575
 99,ml-exact,49,37.428488969802856,8090.681320538064,8090.681320538064,0.0,39891.0,1.0,1.0026687299831225,286.0107910064622,,39891.0
 100,ml-heuristic,0,0.09685802459716797,8160.106459602758,8160.106459602758,0.0,1.0,1.0,1.0000000000000002,1.0,,1.0
 101,ml-heuristic,1,0.19884300231933594,8255.05862375065,8255.05862375065,0.0,45.0,0.9910432499296759,1.0,1.0,,1.0
 102,ml-heuristic,2,0.1381089687347412,8229.632404496291,8229.632404496293,2.210292409357245e-16,21.0,0.9977886733658864,1.0,1.0,inf,1.0
 103,ml-heuristic,3,0.0925898551940918,8386.859108879815,8386.859108879815,0.0,1.0,1.0,1.0,1.0,,1.0
 104,ml-heuristic,4,0.2570371627807617,8197.045478427175,8197.045478427175,0.0,28.0,1.0,1.0,1.0,,1.0
 105,ml-heuristic,5,0.13376593589782715,8184.416683317542,8184.416683317542,0.0,9.0,1.0,1.0000000000000002,1.0,,1.0
 106,ml-heuristic,6,0.10004806518554688,8146.291920190363,8146.291920190363,0.0,1.0,1.0,1.0000000000000002,1.0,,1.0
 107,ml-heuristic,7,0.09490013122558594,8292.094560437725,8292.094560437725,0.0,1.0,0.9951355227162599,1.0,1.0,,1.0
 108,ml-heuristic,8,0.0504460334777832,8189.394992049158,8189.39499204916,2.22115236267375e-16,1.0,1.0,1.0000000000000002,1.0,inf,1.0
 109,ml-heuristic,9,0.10050415992736816,8264.94306032112,8265.728238597903,9.500105095127722e-05,1.0,1.0,1.0000950010509513,1.0,inf,1.0
 110,ml-heuristic,10,0.12723088264465332,8206.469185635438,8206.469185635438,0.0,11.0,0.9976627397332555,1.0,1.0,,1.0
 111,ml-heuristic,11,0.087799072265625,8380.21322380759,8380.213223807592,2.1705765175261136e-16,1.0,1.0,1.0000000000000002,1.0,inf,1.0
 112,ml-heuristic,12,0.11775588989257812,8318.665083714313,8318.665083714313,0.0,23.0,0.9980257851608126,1.0,1.0,,1.0
 113,ml-heuristic,13,0.26901793479919434,8168.160226931591,8168.160226931591,0.0,70.0,0.9984366238807443,1.0,1.0,,1.0
 114,ml-heuristic,14,0.11677289009094238,8335.244300219336,8335.244300219336,0.0,7.0,1.0,1.0,1.0,,1.0
 115,ml-heuristic,15,0.040086984634399414,8281.242353501702,8281.242353501702,0.0,1.0,1.0,1.0,1.0,,1.0
 116,ml-heuristic,16,0.029896974563598633,8266.48694918614,8266.48694918614,0.0,1.0,0.9995969381075426,1.0,1.0,,1.0
 117,ml-heuristic,17,0.05576491355895996,8349.788875581982,8349.788875581982,0.0,1.0,1.0,1.0,1.0,,1.0
 118,ml-heuristic,18,0.059118032455444336,8354.975512102363,8354.975512102363,0.0,1.0,1.0,1.0,1.0,,1.0
 119,ml-heuristic,19,0.13834500312805176,8140.8275945520445,8140.8275945520445,0.0,27.0,0.9990341445819156,1.0,1.0,,1.0
 120,ml-heuristic,20,0.06828880310058594,8218.189574160206,8218.189574160206,0.0,1.0,0.9956342490193416,1.0,1.0,,1.0
 121,ml-heuristic,21,0.08751106262207031,8337.747084077018,8337.747084077018,0.0,1.0,1.0,1.0,1.0,,1.0
 122,ml-heuristic,22,0.11509490013122559,8372.097133312143,8372.097133312143,0.0,26.0,1.0,1.0,1.0,,1.0
 123,ml-heuristic,23,0.05971503257751465,8133.46129271979,8133.46129271979,0.0,1.0,0.9963593982680748,1.0,1.0,,1.0
 124,ml-heuristic,24,0.24341201782226562,8230.99642151221,8230.99642151221,0.0,67.0,0.9974636365252632,1.0,1.0,,1.0
 125,ml-heuristic,25,0.21288514137268066,8208.77608322561,8208.77608322561,0.0,44.0,1.0,1.0,1.0,,1.0
 126,ml-heuristic,26,0.06338000297546387,8263.930518826672,8263.930518826672,0.0,1.0,1.0,1.0,1.0,,1.0
 127,ml-heuristic,27,0.14693188667297363,8198.51655526816,8198.51655526816,0.0,17.0,1.0,1.0,1.0,,1.0
 128,ml-heuristic,28,0.1814110279083252,8429.328796791307,8429.328796791307,0.0,16.0,1.0,1.0,1.0,,1.0
 129,ml-heuristic,29,0.14991402626037598,8411.384764698932,8411.384764698932,0.0,24.0,0.99291647746408,1.0,1.0,,1.0
 130,ml-heuristic,30,0.09793996810913086,8300.292335288888,8300.292335288888,0.0,12.0,1.0,1.0,1.0,,1.0
 131,ml-heuristic,31,0.05630183219909668,8472.780726255278,8472.780726255278,0.0,1.0,0.9999999793941604,1.0,1.0,,1.0
 132,ml-heuristic,32,0.06712818145751953,8176.089207977811,8176.089207977811,0.0,1.0,1.0,1.0,1.0,,1.0
 133,ml-heuristic,33,0.11620283126831055,8349.997774829048,8349.997774829048,0.0,1.0,1.0,1.0,1.0,,1.0
 134,ml-heuristic,34,0.1695559024810791,8228.164027545597,8228.164027545597,0.0,19.0,1.0,1.0,1.0,,1.0
 135,ml-heuristic,35,0.060038089752197266,8348.576374334334,8348.576374334334,0.0,1.0,1.0,1.0,1.0,,1.0
 136,ml-heuristic,36,0.09872889518737793,8168.114952378382,8168.114952378382,0.0,1.0,0.9960359086457419,1.0,1.0,,1.0
 137,ml-heuristic,37,0.15341901779174805,8449.787502150532,8449.787502150532,0.0,25.0,1.0,1.0,1.0,,1.0
 138,ml-heuristic,38,0.10974788665771484,8323.602064698229,8323.602064698229,0.0,1.0,1.0,1.0,1.0,,1.0
 139,ml-heuristic,39,0.1987910270690918,8230.716290385615,8230.716290385615,0.0,26.0,1.0,1.0,1.0,,1.0
 140,ml-heuristic,40,0.12027382850646973,7981.13331314949,7981.13331314949,0.0,1.0,0.9940667779131829,1.0,1.0,,1.0
 141,ml-heuristic,41,0.2123100757598877,8214.630250558439,8214.630250558439,0.0,17.0,1.0,1.0,1.0,,1.0
 142,ml-heuristic,42,0.09217405319213867,8482.332346423325,8482.332346423327,2.1444448640506932e-16,1.0,1.0,1.0,1.0,1.0000000000000002,1.0
 143,ml-heuristic,43,0.05464005470275879,8350.150643446867,8350.150643446867,0.0,1.0,1.0,1.0,1.0,,1.0
 144,ml-heuristic,44,0.10670590400695801,8325.739376420757,8325.739376420757,0.0,1.0,1.0,1.0,1.0,,1.0
 145,ml-heuristic,45,0.0889890193939209,8320.79317232281,8320.79317232281,0.0,1.0,1.0,1.0,1.0,,1.0
 146,ml-heuristic,46,0.05125999450683594,8341.756982876166,8341.756982876166,0.0,1.0,1.0,1.0,1.0,,1.0
 147,ml-heuristic,47,0.13955903053283691,8206.985832918781,8206.985832918781,0.0,1.0,1.0,1.0,1.0,,1.0
 148,ml-heuristic,48,0.2399580478668213,8137.904736782855,8137.904736782855,0.0,73.0,0.9927523548566044,1.0,1.0,,1.0
 149,ml-heuristic,49,0.13086390495300293,8069.146946144667,8069.146946144667,0.0,1.0,0.9973383731801755,1.0,1.0,,1.0
--- a/benchmark/stab/ChallengeA/performance.png
+++ b/benchmark/stab/ChallengeA/performance.png
--- a/benchmark/tsp/ChallengeA/benchmark_baseline.csv
+++ b/benchmark/tsp/ChallengeA/benchmark_baseline.csv
@ -1,51 +1,51 @@
 ,Solver,Instance,Wallclock Time,Lower Bound,Upper Bound,Gap,Nodes,Mode,Sense,Predicted LB,Predicted UB,Relative Lower Bound,Relative Upper Bound,Relative Wallclock Time,Relative Gap,Relative Nodes
-0,baseline,0,217.75073504447937,13540.0,13540.0,0.0,5293,exact,min,,,1.0,1.0,1.0,,1.0
+0,baseline,0,29.597511053085327,13540.0,13540.0,0.0,1488.0,exact,min,,,1.0,1.0,1.0,,1.0
-1,baseline,1,213.02853894233704,13567.0,13567.0,0.0,5756,exact,min,,,1.0,1.0,1.0,,1.0
+1,baseline,1,100.47623896598816,13567.0,13567.0,0.0,5209.0,exact,min,,,1.0,1.0,1.0,,1.0
-2,baseline,2,179.75187993049622,13562.0,13562.0,0.0,4801,exact,min,,,1.0,1.0,1.0,,1.0
+2,baseline,2,95.63535189628601,13562.0,13562.0,0.0,5738.0,exact,min,,,1.0,1.0,1.0,,1.0
-3,baseline,3,247.1571810245514,13522.0,13522.0,0.0,5268,exact,min,,,1.0,1.0,1.0,,1.0
+3,baseline,3,116.40385484695435,13522.0,13522.0,0.0,4888.0,exact,min,,,1.0,1.0,1.0,,1.0
-4,baseline,4,116.98298597335815,13534.0,13534.0,0.0,4327,exact,min,,,1.0,1.0,1.0,,1.0
+4,baseline,4,52.82231903076172,13534.0,13534.0,0.0,2432.0,exact,min,,,1.0,1.0,1.0,,1.0
-5,baseline,5,83.17905187606812,13531.0,13531.999998928572,7.390428856489435e-05,2890,exact,min,,,1.0,1.0,1.0,1.0,1.0
+5,baseline,5,130.4400429725647,13532.0,13532.0,0.0,5217.0,exact,min,,,1.0,1.0,1.0,,1.0
-6,baseline,6,108.78123903274536,13534.0,13535.0,7.388798581350672e-05,4060,exact,min,,,1.0,1.0,1.0,1.0,1.0
+6,baseline,6,138.90338110923767,13535.0,13535.0,0.0,5910.0,exact,min,,,1.0,1.0,1.0,,1.0
-7,baseline,7,260.3801238536835,13612.999999173584,13612.999999186992,9.84924035433076e-13,5348,exact,min,,,1.0,1.0,1.0,1.0,1.0
+7,baseline,7,162.50647616386414,13613.0,13613.0,0.0,5152.0,exact,min,,,1.0,1.0,1.0,,1.0
-8,baseline,8,217.19091296195984,13579.999998202342,13579.999998202344,1.3394620057339073e-16,3745,exact,min,,,1.0,1.0,1.0,1.0,1.0
+8,baseline,8,135.88944792747498,13579.999997631374,13579.999997631372,-1.3394620057902246e-16,6720.0,exact,min,,,1.0,1.0,1.0,1.0,1.0
-9,baseline,9,260.7528941631317,13584.0,13584.0,0.0,5300,exact,min,,,1.0,1.0,1.0,,1.0
+9,baseline,9,62.36928915977478,13583.999994506432,13583.999994506432,0.0,3583.0,exact,min,,,1.0,1.0,1.0,,1.0
-10,baseline,10,224.6843638420105,13578.0,13578.0,0.0,5642,exact,min,,,1.0,1.0,1.0,,1.0
+10,baseline,10,248.86321592330933,13577.0,13578.0,7.365397363187744e-05,13577.0,exact,min,,,1.0,1.0,1.0,1.0,1.0
-11,baseline,11,59.64904499053955,13574.999996405626,13574.999996405626,0.0,2313,exact,min,,,1.0,1.0,1.0,,1.0
+11,baseline,11,64.44093084335327,13574.999997985586,13574.999997985586,0.0,3149.0,exact,min,,,1.0,1.0,1.0,,1.0
-12,baseline,12,198.0631880760193,13543.999999340966,13543.999999340966,0.0,5224,exact,min,,,1.0,1.0,1.0,,1.0
+12,baseline,12,74.64304614067078,13544.0,13544.0,0.0,4925.0,exact,min,,,1.0,1.0,1.0,,1.0
-13,baseline,13,49.45178198814392,13533.999998681033,13533.999998681036,2.6880292651442703e-16,1502,exact,min,,,1.0,1.0,1.0,1.0,1.0
+13,baseline,13,60.252323150634766,13534.0,13534.0,0.0,4007.0,exact,min,,,1.0,1.0,1.0,,1.0
-14,baseline,14,206.06690907478333,13551.0,13551.0,0.0,5415,exact,min,,,1.0,1.0,1.0,,1.0
+14,baseline,14,151.05377101898193,13550.0,13551.0,7.380073800738008e-05,5389.0,exact,min,,,1.0,1.0,1.0,1.0,1.0
-15,baseline,15,197.34330797195435,13594.0,13594.0,0.0,4811,exact,min,,,1.0,1.0,1.0,,1.0
+15,baseline,15,94.33260798454285,13593.0,13594.0,7.356727727506805e-05,4240.0,exact,min,,,1.0,1.0,1.0,1.0,1.0
-16,baseline,16,265.6168210506439,13593.999999477226,13593.999999477228,1.3380825390729792e-16,6147,exact,min,,,1.0,1.0,1.0,1.0,1.0
+16,baseline,16,112.65512180328369,13594.0,13594.0,0.0,5678.0,exact,min,,,1.0,1.0,1.0,,1.0
-17,baseline,17,148.951584815979,13542.99999835,13542.999998349998,-1.3431214677453086e-16,4159,exact,min,,,1.0,1.0,1.0,1.0,1.0
+17,baseline,17,94.68812704086304,13543.0,13543.0,0.0,4110.0,exact,min,,,1.0,1.0,1.0,,1.0
-18,baseline,18,400.0884039402008,13525.0,13525.0,0.0,9847,exact,min,,,1.0,1.0,1.0,,1.0
+18,baseline,18,119.84407782554626,13525.0,13525.0,0.0,4925.0,exact,min,,,1.0,1.0,1.0,,1.0
-19,baseline,19,164.40580105781555,13564.0,13564.0,0.0,4532,exact,min,,,1.0,1.0,1.0,,1.0
+19,baseline,19,96.70060396194458,13564.0,13564.0,0.0,4242.0,exact,min,,,1.0,1.0,1.0,,1.0
-20,baseline,20,140.4536190032959,13568.999998166668,13568.999998166668,0.0,3942,exact,min,,,1.0,1.0,1.0,,1.0
+20,baseline,20,206.73002099990845,13569.0,13569.0,0.0,5164.0,exact,min,,,1.0,1.0,1.0,,1.0
-21,baseline,21,273.1426091194153,13566.0,13566.0,0.0,5581,exact,min,,,1.0,1.0,1.0,,1.0
+21,baseline,21,101.60346388816833,13566.0,13566.0,0.0,3797.0,exact,min,,,1.0,1.0,1.0,,1.0
-22,baseline,22,250.13347101211548,13565.0,13565.0,0.0,5197,exact,min,,,1.0,1.0,1.0,,1.0
+22,baseline,22,39.24613690376282,13565.0,13565.0,0.0,1434.0,exact,min,,,1.0,1.0,1.0,,1.0
-23,baseline,23,187.1866488456726,13579.999997231938,13579.999997943487,5.239680685164202e-11,3011,exact,min,,,1.0,1.0,1.0,1.0,1.0
+23,baseline,23,89.74621176719666,13580.0,13580.0,0.0,3758.0,exact,min,,,1.0,1.0,1.0,,1.0
-24,baseline,24,140.12590217590332,13542.0,13543.0,7.38443361394181e-05,3012,exact,min,,,1.0,1.0,1.0,1.0,1.0
+24,baseline,24,69.45808696746826,13542.999999999996,13542.999999999998,1.343121467581671e-16,3608.0,exact,min,,,1.0,1.0,1.0,1.0,1.0
-25,baseline,25,39.28702092170715,13542.0,13542.0,0.0,1422,exact,min,,,1.0,1.0,1.0,,1.0
+25,baseline,25,130.97386503219604,13542.0,13542.0,0.0,6687.0,exact,min,,,1.0,1.0,1.0,,1.0
-26,baseline,26,109.55790686607361,13532.0,13532.0,0.0,3490,exact,min,,,1.0,1.0,1.0,,1.0
+26,baseline,26,98.3358142375946,13531.999999377458,13531.99999937746,1.3442132749257606e-16,5284.0,exact,min,,,1.0,1.0,1.0,1.0,1.0
-27,baseline,27,95.54075884819031,13522.0,13522.0,0.0,1644,exact,min,,,1.0,1.0,1.0,,1.0
+27,baseline,27,101.37863302230835,13521.0,13522.0,7.395902669920864e-05,3512.0,exact,min,,,1.0,1.0,1.0,1.0,1.0
-28,baseline,28,222.17630696296692,13571.0,13571.0,0.0,5139,exact,min,,,1.0,1.0,1.0,,1.0
+28,baseline,28,47.17776012420654,13571.0,13571.0,0.0,2742.0,exact,min,,,1.0,1.0,1.0,,1.0
-29,baseline,29,163.29073309898376,13595.0,13595.0,0.0,5222,exact,min,,,1.0,1.0,1.0,,1.0
+29,baseline,29,122.19579315185547,13594.0,13594.9999861121,7.356084390904645e-05,5138.0,exact,min,,,1.0,1.0,1.0,1.0,1.0
-30,baseline,30,278.09803795814514,13577.0,13577.0,0.0,5423,exact,min,,,1.0,1.0,1.0,,1.0
+30,baseline,30,159.65594601631165,13577.0,13577.0,0.0,5170.0,exact,min,,,1.0,1.0,1.0,,1.0
-31,baseline,31,117.28890800476074,13582.0,13582.0,0.0,3163,exact,min,,,1.0,1.0,1.0,,1.0
+31,baseline,31,64.20995998382568,13582.0,13582.0,0.0,2716.0,exact,min,,,1.0,1.0,1.0,,1.0
-32,baseline,32,176.0694239139557,13524.0,13524.0,0.0,5275,exact,min,,,1.0,1.0,1.0,,1.0
+32,baseline,32,73.25116801261902,13523.0,13524.0,7.394808844191378e-05,2705.0,exact,min,,,1.0,1.0,1.0,1.0,1.0
-33,baseline,33,274.85479402542114,13548.0,13548.0,0.0,5670,exact,min,,,1.0,1.0,1.0,,1.0
+33,baseline,33,73.00323796272278,13548.0,13548.0,0.0,3823.0,exact,min,,,1.0,1.0,1.0,,1.0
-34,baseline,34,113.99012494087219,13557.0,13557.0,0.0,3530,exact,min,,,1.0,1.0,1.0,,1.0
+34,baseline,34,75.30102896690369,13557.0,13557.0,0.0,2495.0,exact,min,,,1.0,1.0,1.0,,1.0
-35,baseline,35,198.4850950241089,13567.9999991,13567.9999991,0.0,6154,exact,min,,,1.0,1.0,1.0,,1.0
+35,baseline,35,95.78053402900696,13567.999997100109,13567.999997100109,0.0,5380.0,exact,min,,,1.0,1.0,1.0,,1.0
-36,baseline,36,233.32532405853271,13554.0,13554.0,0.0,7716,exact,min,,,1.0,1.0,1.0,,1.0
+36,baseline,36,59.77940106391907,13553.999999666667,13553.999999666667,0.0,2236.0,exact,min,,,1.0,1.0,1.0,,1.0
-37,baseline,37,120.72908902168274,13532.0,13532.0,0.0,3530,exact,min,,,1.0,1.0,1.0,,1.0
+37,baseline,37,111.62521696090698,13532.0,13532.0,0.0,4730.0,exact,min,,,1.0,1.0,1.0,,1.0
-38,baseline,38,61.15467095375061,13514.0,13514.0,0.0,1751,exact,min,,,1.0,1.0,1.0,,1.0
+38,baseline,38,101.59809303283691,13514.0,13514.0,0.0,4724.0,exact,min,,,1.0,1.0,1.0,,1.0
-39,baseline,39,183.99682307243347,13538.0,13538.0,0.0,4391,exact,min,,,1.0,1.0,1.0,,1.0
+39,baseline,39,136.7306661605835,13538.0,13538.0,0.0,5301.0,exact,min,,,1.0,1.0,1.0,,1.0
-40,baseline,40,171.46487092971802,13578.0,13578.0,0.0,5138,exact,min,,,1.0,1.0,1.0,,1.0
+40,baseline,40,96.18307614326477,13578.0,13578.0,0.0,5286.0,exact,min,,,1.0,1.0,1.0,,1.0
-41,baseline,41,126.95655584335327,13526.0,13526.0,0.0,3618,exact,min,,,1.0,1.0,1.0,,1.0
+41,baseline,41,193.25571990013123,13526.0,13526.0,0.0,8946.0,exact,min,,,1.0,1.0,1.0,,1.0
-42,baseline,42,117.62347102165222,13529.0,13529.0,0.0,3512,exact,min,,,1.0,1.0,1.0,,1.0
+42,baseline,42,98.80436420440674,13529.0,13529.0,0.0,2757.0,exact,min,,,1.0,1.0,1.0,,1.0
-43,baseline,43,100.67288303375244,13565.0,13565.0,0.0,2159,exact,min,,,1.0,1.0,1.0,,1.0
+43,baseline,43,91.02266597747803,13565.0,13565.0,0.0,4119.0,exact,min,,,1.0,1.0,1.0,,1.0
-44,baseline,44,56.18321490287781,13553.0,13553.0,0.0,5068,exact,min,,,1.0,1.0,1.0,,1.0
+44,baseline,44,44.981120109558105,13553.0,13553.0,0.0,1975.0,exact,min,,,1.0,1.0,1.0,,1.0
-45,baseline,45,81.97357177734375,13520.99999951341,13520.99999951341,0.0,1566,exact,min,,,1.0,1.0,1.0,,1.0
+45,baseline,45,99.74598288536072,13521.0,13521.0,0.0,5262.0,exact,min,,,1.0,1.0,1.0,,1.0
-46,baseline,46,154.67502689361572,13543.0,13543.0,0.0,2998,exact,min,,,1.0,1.0,1.0,,1.0
+46,baseline,46,70.65784502029419,13542.99999940547,13542.99999940547,0.0,3270.0,exact,min,,,1.0,1.0,1.0,,1.0
-47,baseline,47,94.16874599456787,13564.0,13564.0,0.0,3378,exact,min,,,1.0,1.0,1.0,,1.0
+47,baseline,47,62.16441297531128,13564.0,13564.0,0.0,3631.0,exact,min,,,1.0,1.0,1.0,,1.0
-48,baseline,48,97.76417589187622,13552.0,13552.0,0.0,2254,exact,min,,,1.0,1.0,1.0,,1.0
+48,baseline,48,190.54906916618347,13552.0,13552.0,0.0,9373.0,exact,min,,,1.0,1.0,1.0,,1.0
-49,baseline,49,59.74380803108215,13523.999999669642,13523.999999669642,0.0,1185,exact,min,,,1.0,1.0,1.0,,1.0
+49,baseline,49,73.46178817749023,13524.0,13524.0,0.0,4053.0,exact,min,,,1.0,1.0,1.0,,1.0
--- a/benchmark/tsp/ChallengeA/benchmark_ml.csv
+++ b/benchmark/tsp/ChallengeA/benchmark_ml.csv
@ -1,151 +1,151 @@
 ,Solver,Instance,Wallclock Time,Lower Bound,Upper Bound,Gap,Nodes,Mode,Sense,Predicted LB,Predicted UB,Relative Lower Bound,Relative Upper Bound,Relative Wallclock Time,Relative Gap,Relative Nodes
-0,baseline,0,217.75073504447937,13540.0,13540.0,0.0,5293,exact,min,,,1.0,1.0,137.41095667410258,,5293.0
+0,baseline,0,29.597511053085327,13540.0,13540.0,0.0,1488.0,exact,min,,,1.0,1.0,26.86009340160744,,1488.0
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+57,ml-exact,7,13.48779296875,13613.0,13613.0,0.0,253.0,exact,min,13595.689443983643,13595.75639435777,1.0,1.0,8.256772456439219,,1.0
-58,ml-exact,8,13.689198017120361,13579.999997043262,13579.999997043262,0.0,2523,exact,min,13588.916400723392,13588.986097604273,0.9999999997822726,1.0,8.628644619812594,,2523.0
+58,ml-exact,8,14.816275835037231,13580.0,13580.0,0.0,565.0,exact,min,13588.910124631891,13588.987486935437,1.0,1.0000000001744203,6.434771997460219,-0.0,1.0
-59,ml-exact,9,14.36361813545227,13583.999996923078,13583.999996923078,0.0,665,exact,min,13569.850418750584,13569.949239340467,0.9999999997734892,1.0,10.039904556099705,,35.0
+59,ml-exact,9,14.60462999343872,13584.0,13584.0,0.0,257.0,exact,min,13569.84328895509,13569.949934810124,1.0,1.0000000004044145,2.565844917829724,,1.0
-60,ml-exact,10,11.611991882324219,13578.0,13578.0,0.0,107,exact,min,13568.155664797447,13568.257074161462,1.0,1.0,6.201960337128171,,6.294117647058823
+60,ml-exact,10,14.660763025283813,13578.0,13578.0,0.0,648.0,exact,min,13568.148459117152,13568.25770795454,1.0,1.0,5.0015500391718986,,1.0
-61,ml-exact,11,8.815987825393677,13575.0,13575.0,0.0,1,exact,min,13564.76615689117,13564.872743803451,1.0,1.000000000264779,4.667317258994735,,1.0
+61,ml-exact,11,10.747740983963013,13574.0,13574.999999323794,7.36702021360194e-05,1.0,exact,min,13564.758799441275,13564.873254243374,0.9999263353233345,1.000000000098579,6.822143712194244,inf,1.0
-62,ml-exact,12,8.895750045776367,13544.0,13544.0,0.0,1,exact,min,13538.921159105808,13539.067224823626,1.0,1.0000000000486586,6.5898301636230014,,1.0
+62,ml-exact,12,11.216827154159546,13544.0,13544.0,0.0,1.0,exact,min,13538.912644412721,13539.06679469573,1.0,1.0,12.930656160923881,,1.0
-63,ml-exact,13,8.271281957626343,13534.0,13534.0,0.0,1,exact,min,13559.681895031754,13559.796248266437,1.0,1.0000000000974558,5.969247739912692,,1.0
+63,ml-exact,13,10.66540789604187,13534.0,13534.0,0.0,1.0,exact,min,13559.674309927463,13559.796573676624,1.0,1.0,4.4817610588402195,,1.0
-64,ml-exact,14,10.81852102279663,13551.0,13551.0,0.0,150,exact,min,13548.665994336354,13548.797174602905,1.0,1.0,5.294859316723402,,8.823529411764707
+64,ml-exact,14,12.637185096740723,13551.0,13551.0,0.0,72.0,exact,min,13548.657915980866,13548.797099115332,1.0,1.0,5.597807607388606,,1.0
-65,ml-exact,15,12.25923204421997,13594.0,13594.0,0.0,785,exact,min,13560.529272008323,13560.642330855939,1.0,1.0,10.986205427450566,,49.0625
+65,ml-exact,15,15.559112071990967,13594.0,13594.0,0.0,353.0,exact,min,13560.52172484643,13560.642687104417,1.0,1.0,6.352091962749635,,1.0
-66,ml-exact,16,14.88394284248352,13593.0,13594.0,7.356727727506805e-05,2499,exact,min,13552.9028792192,13553.027587550418,0.9999264381344711,1.000000000038456,17.0094649334542,inf,2499.0
+66,ml-exact,16,14.185301065444946,13594.0,13594.0,0.0,500.0,exact,min,13552.89499057571,13553.027666254291,1.0,1.0,9.735604885812853,,1.2468827930174564
-67,ml-exact,17,11.665093898773193,13543.0,13543.0,0.0,29,exact,min,13535.531651199532,13535.682894465615,1.0,1.0000000001218343,6.986851391131272,-0.0,29.0
+67,ml-exact,17,12.099143028259277,13543.0,13543.0,0.0,109.0,exact,min,13535.522984736846,13535.682340984562,1.0,1.0,5.453228643345678,,1.0
-68,ml-exact,18,8.621058940887451,13525.0,13525.0,0.0,1,exact,min,13525.786815968984,13525.952944686336,1.0,1.0,4.849473414853177,,1.0
+68,ml-exact,18,9.592709064483643,13525.0,13525.0,0.0,1.0,exact,min,13525.777713168703,13525.952036564957,1.0,1.0,22.208940377976713,,1.0
-69,ml-exact,19,10.220519065856934,13564.0,13564.0,0.0,40,exact,min,13560.105583520039,13560.219289561188,1.0,1.0,4.422198821268661,,40.0
+69,ml-exact,19,15.68299388885498,13564.0,13564.0,0.0,20.0,exact,min,13560.098017386947,13560.21963039052,1.0,1.0,10.55283738705663,,1.0
-70,ml-exact,20,9.64664912223816,13569.0,13569.0,0.0,60,exact,min,13549.937059801208,13550.066298487158,1.0,1.0000000001351117,5.524275161228883,,60.0
+70,ml-exact,20,11.181609153747559,13569.0,13569.0,0.0,1.0,exact,min,13549.92903835932,13550.06626925702,1.0,1.0,8.932846137524376,,1.0
-71,ml-exact,21,11.733455896377563,13566.0,13566.0,0.0,235,exact,min,13553.75025619577,13553.87367013992,1.0,1.0,4.018033095796428,,235.0
+71,ml-exact,21,12.961982011795044,13566.0,13566.0,0.0,246.0,exact,min,13553.742405494679,13553.873779682082,1.0,1.0,9.038263563922284,,1.0
-72,ml-exact,22,9.395126104354858,13565.0,13565.0,0.0,1,exact,min,13551.208125266061,13551.335422371412,0.9999262863039953,1.0,4.615959810263813,,1.0
+72,ml-exact,22,10.162704944610596,13564.0,13565.0,7.372456502506635e-05,1.0,exact,min,13551.200160737772,13551.335439398708,0.9999262808698858,1.0,8.005747546324356,inf,1.0
-73,ml-exact,23,12.034302949905396,13580.0,13580.0,0.0,55,exact,min,13560.952960496608,13561.065372150691,1.0,1.0000000001514369,6.5612490616439025,,55.0
+73,ml-exact,23,14.439340114593506,13580.0,13580.0,0.0,56.0,exact,min,13560.945432305916,13561.065743818312,1.0,1.0,7.158532530536033,,1.0
-74,ml-exact,24,7.956115007400513,13543.0,13543.0,0.0,1,exact,min,13545.700174918362,13545.835885539645,1.0,1.0,4.492518564251467,,1.0
+74,ml-exact,24,8.9430251121521,13543.0,13543.0,0.0,1.0,exact,min,13545.691963764473,13545.835702118062,1.0,1.0000000000000002,5.478707180627428,,1.0
-75,ml-exact,25,10.434047937393188,13542.0,13542.0,0.0,154,exact,min,13528.328946898693,13528.491192454845,0.999926161116444,1.0,7.8385534749579,,154.0
+75,ml-exact,25,11.13078498840332,13542.0,13542.0,0.0,1.0,exact,min,13528.31995792561,13528.490376848333,1.0,1.0,8.222479088427512,,1.0
-76,ml-exact,26,9.19838285446167,13532.0,13532.0,0.0,1,exact,min,13538.497470617524,13538.644183528875,1.0,1.0,9.012200084373717,,1.0
+76,ml-exact,26,10.45563006401062,13532.0,13532.0,0.0,1.0,exact,min,13538.488936953237,13538.643737981833,1.0,1.0000000000460052,4.67289046136253,,1.0
-77,ml-exact,27,8.900259971618652,13522.0,13522.0,0.0,1,exact,min,13537.650093640954,13537.798100939372,1.0,1.0,2.9812312202593794,,1.0
+77,ml-exact,27,12.658456087112427,13522.0,13522.0,0.0,1.0,exact,min,13537.641522034268,13537.797624554041,1.0,1.0,8.900314835312852,,1.0
-78,ml-exact,28,9.110372066497803,13571.0,13571.0,0.0,1,exact,min,13560.105583520039,13560.219289561188,1.0,1.0,4.86480110567857,,1.0
+78,ml-exact,28,11.49683690071106,13571.0,13571.0,0.0,15.0,exact,min,13560.098017386947,13560.21963039052,1.0,1.0,10.478351955003774,,1.0
-79,ml-exact,29,9.043022871017456,13595.0,13595.0,0.0,1,exact,min,13571.968861192008,13572.064445814223,0.9996323529411765,1.0,8.520221076733726,,1.0
+79,ml-exact,29,10.038163900375366,13594.0,13595.0,7.356186552890981e-05,1.0,exact,min,13571.961826252513,13572.065218379603,0.9999264435454212,1.0000000010215446,8.672551138007995,inf,1.0
-80,ml-exact,30,9.67404294013977,13577.0,13577.0,0.0,110,exact,min,13559.258206543469,13559.373206971686,1.0,1.0,10.69665188192417,,110.0
+80,ml-exact,30,10.994755983352661,13576.0,13577.0,7.365939893930465e-05,25.0,exact,min,13559.250602467977,13559.373516962729,0.9999263460263681,1.0,5.971117825195893,inf,1.0
-81,ml-exact,31,8.979404926300049,13582.0,13582.0,0.0,121,exact,min,13583.408450375693,13583.486560772508,0.9998527679623086,1.0,11.2567309758641,,17.285714285714285
+81,ml-exact,31,12.409696102142334,13581.0,13582.0,7.363228039172373e-05,30.0,exact,min,13583.401927658593,13583.48774965479,0.9999263731409218,1.0,4.297894132499397,inf,1.0
-82,ml-exact,32,8.957957983016968,13524.0,13524.0,0.0,1,exact,min,13535.531651199532,13535.682894465615,1.0,1.0,7.235210792697005,,1.0
+82,ml-exact,32,11.40560007095337,13524.0,13524.0,0.0,98.0,exact,min,13535.522984736846,13535.682340984562,1.0,1.0,15.235048166691241,,1.4848484848484849
-83,ml-exact,33,12.608783960342407,13548.0,13548.0,0.0,938,exact,min,13552.9028792192,13553.027587550418,1.0,1.0,6.975428087702582,,938.0
+83,ml-exact,33,14.968575954437256,13548.0,13548.0,0.0,953.0,exact,min,13552.89499057571,13553.027666254291,1.0,1.0,7.292899748174851,,1.0
-84,ml-exact,34,11.298435926437378,13557.0,13557.0,0.0,63,exact,min,13543.58173247694,13543.72067906589,0.9998524964967918,1.0,6.278209603556246,,63.0
+84,ml-exact,34,10.275269031524658,13557.0,13557.0,0.0,80.0,exact,min,13543.573426467052,13543.720418548583,1.0,1.0,4.63916104661852,,1.0
-85,ml-exact,35,13.214792966842651,13568.0,13568.0,0.0,179,exact,min,13544.429109453507,13544.566761655393,1.0,1.0000000000663325,8.38008571364639,,179.0
+85,ml-exact,35,13.136114120483398,13568.0,13568.0,0.0,445.0,exact,min,13544.42084138602,13544.566531976374,1.0,1.0000000002137304,12.587970833538003,,1.0
-86,ml-exact,36,7.7071850299835205,13554.0,13554.0,0.0,98,exact,min,13525.363127480701,13525.529903391585,1.0,1.0,9.158932148947677,,98.0
+86,ml-exact,36,11.606173992156982,13553.999998743056,13553.999998743056,0.0,164.0,exact,min,13525.354005709218,13525.528979851062,0.9999999999072641,1.0,15.660551479908223,,1.3015873015873016
-87,ml-exact,37,11.302643060684204,13531.999994999998,13531.999994999998,0.0,46,exact,min,13539.344847594093,13539.490266118377,0.9999999996305053,1.0,12.844993208563091,,46.0
+87,ml-exact,37,15.051767110824585,13532.0,13532.0,0.0,107.0,exact,min,13539.336351872207,13539.489851409624,1.0,1.0,6.004187792432415,,1.0
-88,ml-exact,38,8.703151941299438,13514.0,13514.0,0.0,1,exact,min,13529.600012363546,13529.760316339098,1.0,1.0,4.870591373194076,,1.0
+88,ml-exact,38,10.445327997207642,13514.0,13514.0,0.0,1.0,exact,min,13529.591080304062,13529.75954699002,1.0,1.0,6.978136144027363,,1.0
-89,ml-exact,39,10.496510028839111,13537.0,13538.0,7.387161113983896e-05,1,exact,min,13537.226405152669,13537.37505964462,0.9997046008418876,1.0,6.01474040283567,inf,1.0
+89,ml-exact,39,12.747802019119263,13538.0,13538.0,0.0,151.0,exact,min,13537.217814574784,13537.374567840145,1.0,1.0,7.472058053477855,,1.0
-90,ml-exact,40,8.508935928344727,13578.0,13578.0,0.0,1,exact,min,13566.884599332592,13566.987950277207,1.0,1.0000000001060538,4.332310659463197,,1.0
+90,ml-exact,40,14.315036058425903,13578.0,13578.0,0.0,1.0,exact,min,13566.877336738698,13566.988537812853,1.0,1.0,7.670033521642671,,1.0
-91,ml-exact,41,8.9203519821167,13525.999995490969,13525.999995490969,0.0,1,exact,min,13521.54993108614,13521.722531738824,0.9999999996666398,1.0,6.972811106799851,,1.0
+91,ml-exact,41,10.27357292175293,13525.0,13526.0,7.393715341959335e-05,1.0,exact,min,13521.540638573859,13521.721469426,0.9999260683128789,1.0,4.063188513593281,inf,1.0
-92,ml-exact,42,10.458813905715942,13529.0,13529.0,0.0,7,exact,min,13530.02370085183,13530.18335763385,1.0,1.0,4.285067978499369,,7.0
+92,ml-exact,42,12.76089596748352,13529.0,13529.0,0.0,47.0,exact,min,13530.014787763548,13530.182603703915,0.9999999999999999,1.0,4.534313469262858,,1.0
-93,ml-exact,43,13.013127088546753,13565.0,13565.0,0.0,463,exact,min,13560.952960496608,13561.065372150691,1.0,1.0,6.467641005411601,,463.0
+93,ml-exact,43,16.610208988189697,13565.0,13565.0,0.0,267.0,exact,min,13560.945432305916,13561.065743818312,1.0,1.0,2.2775372615612164,,1.0
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-95,ml-exact,45,8.23905086517334,13520.0,13521.0,7.396449704142012e-05,1,exact,min,13519.00780015643,13519.184283970317,0.9999260409733008,1.0000000000359879,6.367723971252165,inf,1.0
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-96,ml-exact,46,10.932353019714355,13543.0,13543.0,0.0,1,exact,min,13543.158043988655,13543.297637771138,1.0,1.0,5.290415387769593,,1.0
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-97,ml-exact,47,9.300999879837036,13564.0,13564.0,0.0,23,exact,min,13567.308287820877,13567.41099157196,1.0,1.0,8.701102937896456,,23.0
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-100,ml-heuristic,0,1.5846679210662842,13540.0,13540.0,0.0,1,heuristic,min,13534.684274222962,13534.836811876114,1.0,1.0,1.0,,1.0
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+102,ml-heuristic,2,1.815993070602417,13563.0,13563.0,0.0,1640.0,heuristic,min,13545.26825630499,13545.412645404165,1.0,1.000073735437251,1.0,,4.039408866995074
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+103,ml-heuristic,3,3.6015830039978027,13522.0,13522.0,0.0,1.0,heuristic,min,13513.490196843653,13513.683391861978,1.0,1.0,1.0,,1.0
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--- a/benchmark/tsp/ChallengeA/performance.png
+++ b/benchmark/tsp/ChallengeA/performance.png
--- a/docs/customization/index.html
+++ b/docs/customization/index.html
@ -142,6 +142,8 @@
            <li class="second-level"><a href="#selecting-solver-components">Selecting solver components</a></li>
            <li class="second-level"><a href="#adjusting-component-aggresiveness">Adjusting component aggresiveness</a></li>
    </ul>
 </div></div>
        <div class="col-md-9" role="main">
@ -183,6 +185,19 @@ solver = LearningSolver()
 # Replace the default LazyConstraintComponent by one with custom parameters 
 solver.add(LazyConstraintComponent(...))
 </code></pre>
 <h2 id="adjusting-component-aggresiveness">Adjusting component aggresiveness</h2>
 <p>The aggressiveness of classification components (such as <code>PrimalSolutionComponent</code> and <code>LazyConstraintComponent</code>) can
 be adjusted through the <code>threshold</code> constructor argument. Internally, these components ask the ML models how confident
 they are on each prediction (through the <code>predict_proba</code> method in the sklearn API), and only take into account
 predictions which have probabilities above the threshold. Lowering a component's threshold increases its aggresiveness,
 while raising a component's threshold makes it more conservative. </p>
 <p>MIPLearn also includes <code>MinPrecisionThreshold</code>, a dynamic threshold which adjusts itself automatically during training
 to achieve a minimum desired true positive rate (also known as precision). The example below shows how to initialize
 a <code>PrimalSolutionComponent</code> which achieves 95% precision, possibly at the cost of a lower recall. To make the component
 more aggressive, this precision may be lowered.</p>
 <pre><code class="python">comp = PrimalSolutionComponent(threshold=MinPrecisionThreshold(0.98))
 </code></pre></div>
--- a/docs/index.html
+++ b/docs/index.html
@ -273,5 +273,5 @@
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-Build Date UTC : 2020-04-14 13:54:25
+Build Date UTC : 2020-05-05 18:08:32
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--- a/docs/search/search_index.json
+++ b/docs/search/search_index.json
--- a/docs/sitemap.xml
+++ b/docs/sitemap.xml
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--- a/docs/sitemap.xml.gz
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--- a/src/docs/customization.md
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@ -44,3 +44,20 @@ solver = LearningSolver()
 # Replace the default LazyConstraintComponent by one with custom parameters 
 solver.add(LazyConstraintComponent(...))
 ```
 ## Adjusting component aggresiveness
 The aggressiveness of classification components (such as `PrimalSolutionComponent` and `LazyConstraintComponent`) can
 be adjusted through the `threshold` constructor argument. Internally, these components ask the ML models how confident
 they are on each prediction (through the `predict_proba` method in the sklearn API), and only take into account
 predictions which have probabilities above the threshold. Lowering a component's threshold increases its aggresiveness,
 while raising a component's threshold makes it more conservative. 
 MIPLearn also includes `MinPrecisionThreshold`, a dynamic threshold which adjusts itself automatically during training
 to achieve a minimum desired true positive rate (also known as precision). The example below shows how to initialize
 a `PrimalSolutionComponent` which achieves 95% precision, possibly at the cost of a lower recall. To make the component
 more aggressive, this precision may be lowered.
 ```python
 comp = PrimalSolutionComponent(threshold=MinPrecisionThreshold(0.98))
 ```