10551131
8323
Heinrich Peters
167119
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275614
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
1.0
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
100
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"liblinear"
13106
tol
0.0001
13106
verbose
0
13106
warm_start
false
13106
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
18601
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}]
18601
verbose
false
18601
openml-python
Sklearn_0.21.2.
41027
jungle_chess_2pcs_raw_endgame_complete
https://www.openml.org/data/download/18631418/jungle_chess_2pcs_raw_endgame_complete.arff
-1
22027217
description
https://api.openml.org/data/download/22027217/description.xml
-1
22027218
predictions
https://api.openml.org/data/download/22027218/predictions.arff
area_under_roc_curve
0.8073172305392587 [0.808651,0.806584,0.803169]
average_cost
0
f_measure
0.6502405922648147 [0.749242,0.667407,0.054569]
kappa
0.40708391967309543
kb_relative_information_score
0.30302402936196804
mean_absolute_error
0.28756081444421333
mean_prior_absolute_error
0.3831852724014475
weighted_recall
0.6805372721390481 [0.808776,0.672713,0.029758]
number_of_instances
44819 [23062,17422,4335]
precision
0.6482477614301297 [0.697871,0.662184,0.328244]
predictive_accuracy
0.6805372721390482
prior_entropy
1.3491090910116912
relative_absolute_error
0.7504485040410104
root_mean_prior_squared_error
0.43771061915274234
root_mean_squared_error
0.3790579083339737
root_relative_squared_error
0.8660011700600269
total_cost
0
unweighted_recall
0.5037489298843155 [0.808776,0.672713,0.029758]
area_under_roc_curve
0.8040314615938574 [0.807838,0.800423,0.798266]
area_under_roc_curve
0.7995029825829848 [0.802113,0.796599,0.797279]
area_under_roc_curve
0.807959958839492 [0.808517,0.806935,0.809113]
area_under_roc_curve
0.8077009920449734 [0.806729,0.807458,0.813842]
area_under_roc_curve
0.8174815909224042 [0.81853,0.81935,0.80441]
area_under_roc_curve
0.8157451315578716 [0.816401,0.816909,0.80759]
area_under_roc_curve
0.8030496134882592 [0.806023,0.798443,0.805745]
area_under_roc_curve
0.8046948808071333 [0.807142,0.805933,0.786679]
area_under_roc_curve
0.8010117828921188 [0.799643,0.803786,0.797137]
area_under_roc_curve
0.8120343913004389 [0.813699,0.809946,0.811573]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.650073003374337 [0.747626,0.666667,0.063559]
f_measure
0.640632248030733 [0.74178,0.656232,0.038961]
f_measure
0.6459924434423301 [0.746731,0.664018,0.03838]
f_measure
0.6497642534386682 [0.748554,0.666091,0.059322]
f_measure
0.6555865642015198 [0.755912,0.678643,0.029979]
f_measure
0.6587835904769344 [0.752741,0.683188,0.061602]
f_measure
0.647976507638443 [0.746993,0.655064,0.093418]
f_measure
0.6547643901860546 [0.753455,0.669147,0.071279]
f_measure
0.6426287308292791 [0.742181,0.65809,0.050209]
f_measure
0.6560560969277707 [0.756475,0.676739,0.038055]
kappa
0.4062043171690824
kappa
0.39016886161966324
kappa
0.4007932812240146
kappa
0.4054430693316773
kappa
0.41995573015821913
kappa
0.4228648815101537
kappa
0.3995783081068907
kappa
0.41391769768886716
kappa
0.3921971935437205
kappa
0.4196346550315292
kb_relative_information_score
0.2995215228015018
kb_relative_information_score
0.2972037259918984
kb_relative_information_score
0.30274877896966756
kb_relative_information_score
0.3069210624740499
kb_relative_information_score
0.3111264898934453
kb_relative_information_score
0.3102224674451647
kb_relative_information_score
0.29942166184633534
kb_relative_information_score
0.2972636348096516
kb_relative_information_score
0.2947369838854105
kb_relative_information_score
0.3110700711403566
mean_absolute_error
0.2887705337582956
mean_absolute_error
0.2890092248763008
mean_absolute_error
0.2877423101818691
mean_absolute_error
0.28685186978694466
mean_absolute_error
0.284646750833916
mean_absolute_error
0.2851745607472129
mean_absolute_error
0.289107375944106
mean_absolute_error
0.2893353942957928
mean_absolute_error
0.28983419036211366
mean_absolute_error
0.2851353925083242
mean_prior_absolute_error
0.38314912741294394
mean_prior_absolute_error
0.38314912741294394
mean_prior_absolute_error
0.38321127351128964
mean_prior_absolute_error
0.38321127351128964
mean_prior_absolute_error
0.38321127351128964
mean_prior_absolute_error
0.38321127351128964
mean_prior_absolute_error
0.38321127351128964
mean_prior_absolute_error
0.3831678439182395
mean_prior_absolute_error
0.3831678439182395
mean_prior_absolute_error
0.3831624086923031
number_of_instances
4482 [2307,1742,433]
number_of_instances
4482 [2307,1742,433]
number_of_instances
4482 [2306,1742,434]
number_of_instances
4482 [2306,1742,434]
number_of_instances
4482 [2306,1742,434]
number_of_instances
4482 [2306,1742,434]
number_of_instances
4482 [2306,1742,434]
number_of_instances
4482 [2306,1743,433]
number_of_instances
4482 [2306,1743,433]
number_of_instances
4481 [2306,1742,433]
precision
0.6524483090535026 [0.700227,0.655747,0.384615]
precision
0.6380597164875557 [0.690041,0.650677,0.310345]
precision
0.6384018543224472 [0.696435,0.656566,0.257143]
precision
0.651570262429969 [0.692876,0.667435,0.368421]
precision
0.6441185887920022 [0.702683,0.674221,0.212121]
precision
0.6520989103499406 [0.707634,0.670536,0.283019]
precision
0.668049626817428 [0.694631,0.651163,0.594595]
precision
0.6571263558977123 [0.700037,0.667619,0.386364]
precision
0.6358986389479727 [0.690157,0.65584,0.266667]
precision
0.6454825428545832 [0.704299,0.67214,0.225]
predictive_accuracy
0.679607318161535
predictive_accuracy
0.6720214190093707
predictive_accuracy
0.677153056671129
predictive_accuracy
0.6802766622043731
predictive_accuracy
0.6878625613565373
predictive_accuracy
0.6876394466755913
predictive_accuracy
0.676706827309237
predictive_accuracy
0.6842927264614012
predictive_accuracy
0.6724676483712628
predictive_accuracy
0.6873465744253515
prior_entropy
1.3488133441537706
prior_entropy
1.3488133441537706
prior_entropy
1.3493513056725057
prior_entropy
1.3493513056725057
prior_entropy
1.3493513056725057
prior_entropy
1.3493513056725057
prior_entropy
1.3493513056725057
prior_entropy
1.3489036134824826
prior_entropy
1.3489036134824826
prior_entropy
1.3489004199199452
relative_absolute_error
0.7536766055245883
relative_absolute_error
0.754299577367476
relative_absolute_error
0.7508712036192015
relative_absolute_error
0.7485475757499964
relative_absolute_error
0.7427932592529278
relative_absolute_error
0.7441705932453772
relative_absolute_error
0.7544333789950173
relative_absolute_error
0.7551139765202513
relative_absolute_error
0.7564157456385056
relative_absolute_error
0.7441632739533719
root_mean_prior_squared_error
0.4376693285240829
root_mean_prior_squared_error
0.4376693285240829
root_mean_prior_squared_error
0.4377403194007462
root_mean_prior_squared_error
0.4377403194007462
root_mean_prior_squared_error
0.4377403194007462
root_mean_prior_squared_error
0.4377403194007462
root_mean_prior_squared_error
0.4377403194007462
root_mean_prior_squared_error
0.43769071001794996
root_mean_prior_squared_error
0.43769071001794996
root_mean_prior_squared_error
0.4376845009936733
root_mean_squared_error
0.38030733160648866
root_mean_squared_error
0.382740554554031
root_mean_squared_error
0.3792278029358727
root_mean_squared_error
0.37877198062730977
root_mean_squared_error
0.37475660444763914
root_mean_squared_error
0.37556105869307493
root_mean_squared_error
0.3809763571061465
root_mean_squared_error
0.3798234685153209
root_mean_squared_error
0.3816036419511593
root_mean_squared_error
0.3767277990024945
root_relative_squared_error
0.8689375901413254
root_relative_squared_error
0.8744970908624468
root_relative_squared_error
0.866330530061806
root_relative_squared_error
0.8652892224911737
root_relative_squared_error
0.8561162585175387
root_relative_squared_error
0.857954001603524
root_relative_squared_error
0.8703250311227718
root_relative_squared_error
0.8677896510523244
root_relative_squared_error
0.8718568459803717
root_relative_squared_error
0.8607291282812412
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.5048352143857014 [0.801907,0.677956,0.034642]
unweighted_recall
0.49485845048801097 [0.801907,0.661883,0.020785]
unweighted_recall
0.499078671096697 [0.804857,0.671642,0.020737]
unweighted_recall
0.5036582650312256 [0.813964,0.664753,0.032258]
unweighted_recall
0.5057061049819888 [0.817866,0.683123,0.016129]
unweighted_recall
0.5116259554490022 [0.80399,0.696326,0.034562]
unweighted_recall
0.5058654426227077 [0.807892,0.659013,0.050691]
unweighted_recall
0.508547293188318 [0.815698,0.670683,0.039261]
unweighted_recall
0.4969193242497698 [0.802689,0.660356,0.027714]
unweighted_recall
0.5063950136534083 [0.816999,0.681401,0.020785]
usercpu_time_millis
240.4619369772263
usercpu_time_millis
176.90918495645747
usercpu_time_millis
182.22406296990812
usercpu_time_millis
183.84577898541465
usercpu_time_millis
179.8799309763126
usercpu_time_millis
181.2701669987291
usercpu_time_millis
186.9795480160974
usercpu_time_millis
187.37048603361472
usercpu_time_millis
188.52892896393314
usercpu_time_millis
188.6709009995684
usercpu_time_millis_testing
2.9447099659591913
usercpu_time_millis_testing
1.473126991186291
usercpu_time_millis_testing
1.417902996763587
usercpu_time_millis_testing
1.412896963302046
usercpu_time_millis_testing
1.4312969869934022
usercpu_time_millis_testing
1.408671960234642
usercpu_time_millis_testing
1.507219043560326
usercpu_time_millis_testing
1.4750840491615236
usercpu_time_millis_testing
1.5290529699996114
usercpu_time_millis_testing
1.4177690027281642
usercpu_time_millis_training
237.5172270112671
usercpu_time_millis_training
175.43605796527117
usercpu_time_millis_training
180.80615997314453
usercpu_time_millis_training
182.4328820221126
usercpu_time_millis_training
178.4486339893192
usercpu_time_millis_training
179.86149503849447
usercpu_time_millis_training
185.47232897253707
usercpu_time_millis_training
185.8954019844532
usercpu_time_millis_training
186.99987599393353
usercpu_time_millis_training
187.25313199684024
wall_clock_time_millis
241.63341522216797
wall_clock_time_millis
176.91802978515625
wall_clock_time_millis
182.23905563354492
wall_clock_time_millis
183.86077880859375
wall_clock_time_millis
179.89110946655273
wall_clock_time_millis
181.28323554992676
wall_clock_time_millis
186.99193000793457
wall_clock_time_millis
187.40487098693848
wall_clock_time_millis
188.54236602783203
wall_clock_time_millis
188.7073516845703
wall_clock_time_millis_testing
2.9556751251220703
wall_clock_time_millis_testing
1.4774799346923828
wall_clock_time_millis_testing
1.4286041259765625
wall_clock_time_millis_testing
1.4226436614990234
wall_clock_time_millis_testing
1.4414787292480469
wall_clock_time_millis_testing
1.4181137084960938
wall_clock_time_millis_testing
1.5149116516113281
wall_clock_time_millis_testing
1.485586166381836
wall_clock_time_millis_testing
1.535177230834961
wall_clock_time_millis_testing
1.4276504516601562
wall_clock_time_millis_training
238.6777400970459
wall_clock_time_millis_training
175.44054985046387
wall_clock_time_millis_training
180.81045150756836
wall_clock_time_millis_training
182.43813514709473
wall_clock_time_millis_training
178.4496307373047
wall_clock_time_millis_training
179.86512184143066
wall_clock_time_millis_training
185.47701835632324
wall_clock_time_millis_training
185.91928482055664
wall_clock_time_millis_training
187.00718879699707
wall_clock_time_millis_training
187.27970123291016
weighted_recall
0.6796073181615351 [0.801907,0.677956,0.034642]
weighted_recall
0.6720214190093708 [0.801907,0.661883,0.020785]
weighted_recall
0.6771530566711289 [0.804857,0.671642,0.020737]
weighted_recall
0.680276662204373 [0.813964,0.664753,0.032258]
weighted_recall
0.6878625613565372 [0.817866,0.683123,0.016129]
weighted_recall
0.6876394466755913 [0.80399,0.696326,0.034562]
weighted_recall
0.6767068273092369 [0.807892,0.659013,0.050691]
weighted_recall
0.6842927264614012 [0.815698,0.670683,0.039261]
weighted_recall
0.6724676483712628 [0.802689,0.660356,0.027714]
weighted_recall
0.6873465744253515 [0.816999,0.681401,0.020785]