10584462
28997
Marc Boel
9960
Supervised Classification
19039
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2)
8300744
Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1.
n_jobs
null
19031
remainder
"drop"
19031
sparse_threshold
0.3
19031
transformer_weights
null
19031
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}]
19031
verbose
false
19031
verbose_feature_names_out
true
19031
add_indicator
false
19032
copy
true
19032
fill_value
null
19032
missing_values
NaN
19032
strategy
"most_frequent"
19032
verbose
0
19032
categories
"auto"
19033
drop
null
19033
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
19033
handle_unknown
"ignore"
19033
sparse
true
19033
memory
null
19039
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
19039
verbose
false
19039
ccp_alpha
0.0
19040
criterion
"friedman_mse"
19040
init
null
19040
learning_rate
0.1959813622403977
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1673
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
88
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
13
19040
random_state
43688
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.10291507658290527
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22095192
description
https://api.openml.org/data/download/22095192/description.xml
-1
22095193
predictions
https://api.openml.org/data/download/22095193/predictions.arff
area_under_roc_curve
0.9998921962442029 [0.999788,0.999995,0.999664,1]
average_cost
0
f_measure
0.9977981410574509 [0.997734,0.998331,0.990798,0.999394]
kappa
0.9966782113097387
kb_relative_information_score
0.9958877408062401
mean_absolute_error
0.0012553768089978588
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9978005865102639 [0.998639,0.998569,0.984756,0.998789]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9978009963924894 [0.996831,0.998093,0.996914,1]
predictive_accuracy
0.9978005865102639
prior_entropy
1.7146330399083418
relative_absolute_error
0.0037899523587383564
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.031227758665894632
root_relative_squared_error
0.07673732485512667
total_cost
0
unweighted_recall
0.9951885711064353 [0.998639,0.998569,0.984756,0.998789]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9998981784946698 [0.999819,1,0.999527,1]
area_under_roc_curve
0.999966792993743 [0.999958,0.999957,1,1]
area_under_roc_curve
0.9999874087436746 [1,0.999986,0.999882,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
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
0.9945110354554292 [0.995455,0.992908,1,0.993865]
f_measure
0.9905183995843035 [0.988814,1,0.918033,1]
f_measure
0.9981685873558463 [0.997722,0.997625,1,1]
f_measure
0.9981799805295691 [1,0.997613,0.985075,1]
f_measure
1 [1,1,1,1]
f_measure
1 [1,1,1,1]
f_measure
0.9981650283842671 [0.997732,0.997613,1,1]
f_measure
0.9981650084906499 [0.997743,0.997602,1,1]
f_measure
1 [1,1,1,1]
f_measure
1 [1,1,1,1]
kappa
0.9916960700815185
kappa
0.9861013532089073
kappa
0.9972375131546992
kappa
0.9972398453100119
kappa
1
kappa
1
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
1
kappa
1
kb_relative_information_score
0.9933939133431053
kb_relative_information_score
0.9774816374739654
kb_relative_information_score
0.9971910194624433
kb_relative_information_score
0.99739663836499
kb_relative_information_score
0.9999063592558796
kb_relative_information_score
0.9989802885160469
kb_relative_information_score
0.9975271373817796
kb_relative_information_score
0.9977535158501982
kb_relative_information_score
0.9998242322688141
kb_relative_information_score
0.9994287051650903
mean_absolute_error
0.0023767846061181503
mean_absolute_error
0.004771629716529483
mean_absolute_error
0.0012788692616575116
mean_absolute_error
0.0011412001619167348
mean_absolute_error
0.00005483864572709962
mean_absolute_error
0.000512683437832883
mean_absolute_error
0.0010591955733855222
mean_absolute_error
0.000928970739855872
mean_absolute_error
0.00010241450218041224
mean_absolute_error
0.00032240393105786576
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.3311205766710351
mean_prior_absolute_error
0.3311024296804111
mean_prior_absolute_error
0.3311861074705109
mean_prior_absolute_error
0.3311861074705109
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
545 [220,210,32,83]
number_of_instances
545 [221,209,32,83]
number_of_instances
545 [221,209,33,82]
number_of_instances
545 [221,209,33,82]
precision
0.9945828819068256 [1,0.985915,1,1]
precision
0.9910450906026128 [0.977876,1,1,1]
precision
0.998177178271965 [1,0.995261,1,1]
precision
0.9982223658694247 [1,1,0.970588,1]
precision
1 [1,1,1,1]
precision
1 [1,1,1,1]
precision
0.9981734401594088 [0.995475,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
precision
1 [1,1,1,1]
precision
1 [1,1,1,1]
predictive_accuracy
0.9945054945054944
predictive_accuracy
0.9908424908424908
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9981684981684981
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9981651376146788
predictive_accuracy
1
predictive_accuracy
1
prior_entropy
1.7138246699606299
prior_entropy
1.7138246699606299
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7121302787024806
prior_entropy
1.711997401430895
prior_entropy
1.714437400963805
prior_entropy
1.714437400963805
relative_absolute_error
0.007177508311584114
relative_absolute_error
0.014409556449512624
relative_absolute_error
0.003859284557636911
relative_absolute_error
0.0034438361246948725
relative_absolute_error
0.00016548833016911995
relative_absolute_error
0.0015471411612632277
relative_absolute_error
0.003198821359983986
relative_absolute_error
0.002805689891048336
relative_absolute_error
0.0003092355019436657
relative_absolute_error
0.0009734826545723173
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.4067990554858411
root_mean_prior_squared_error
0.40677675026179705
root_mean_prior_squared_error
0.4068795919478491
root_mean_prior_squared_error
0.4068795919478491
root_mean_squared_error
0.03919822855729334
root_mean_squared_error
0.06736238724655641
root_mean_squared_error
0.02980587892189126
root_mean_squared_error
0.03018050783126322
root_mean_squared_error
0.0012623971058488258
root_mean_squared_error
0.011811497034217472
root_mean_squared_error
0.0296023974841239
root_mean_squared_error
0.028674957360193976
root_mean_squared_error
0.0019802161564428755
root_mean_squared_error
0.005543651646249994
root_relative_squared_error
0.09635106963624748
root_relative_squared_error
0.16557988213600525
root_relative_squared_error
0.07321310008976628
root_relative_squared_error
0.07413331263945307
root_relative_squared_error
0.003100864963779327
root_relative_squared_error
0.029012944622176913
root_relative_squared_error
0.07276909099203704
root_relative_squared_error
0.07049310793141222
root_relative_squared_error
0.004866835780489785
root_relative_squared_error
0.013624796514641952
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
0.9946887760732811 [0.99095,1,1,0.987805]
unweighted_recall
0.9621212121212122 [1,1,0.848485,1]
unweighted_recall
0.9988636363636364 [0.995455,1,1,1]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
1 [1,1,1,1]
usercpu_time_millis
8104.633509999985
usercpu_time_millis
13120.16967099953
usercpu_time_millis
8124.934557000415
usercpu_time_millis
9573.338461000276
usercpu_time_millis
14447.814197000298
usercpu_time_millis
11737.398571000085
usercpu_time_millis
9471.045774000231
usercpu_time_millis
11627.57943700035
usercpu_time_millis
15016.87622100053
usercpu_time_millis
9554.78241000037
usercpu_time_millis_testing
8.851894999679644
usercpu_time_millis_testing
10.337979999349045
usercpu_time_millis_testing
9.283028000027116
usercpu_time_millis_testing
9.275422999962757
usercpu_time_millis_testing
10.412786000415508
usercpu_time_millis_testing
10.243022000395285
usercpu_time_millis_testing
9.758615000464488
usercpu_time_millis_testing
9.672250000221538
usercpu_time_millis_testing
10.571112000434368
usercpu_time_millis_testing
6.408115000340331
usercpu_time_millis_training
8095.7816150003055
usercpu_time_millis_training
13109.831691000181
usercpu_time_millis_training
8115.651529000388
usercpu_time_millis_training
9564.063038000313
usercpu_time_millis_training
14437.401410999883
usercpu_time_millis_training
11727.15554899969
usercpu_time_millis_training
9461.287158999767
usercpu_time_millis_training
11617.907187000128
usercpu_time_millis_training
15006.305109000095
usercpu_time_millis_training
9548.37429500003
wall_clock_time_millis
8257.730722427368
wall_clock_time_millis
13348.681688308716
wall_clock_time_millis
8269.48094367981
wall_clock_time_millis
9712.12911605835
wall_clock_time_millis
14774.568319320679
wall_clock_time_millis
11866.097450256348
wall_clock_time_millis
9640.218019485474
wall_clock_time_millis
11887.682914733887
wall_clock_time_millis
15252.851009368896
wall_clock_time_millis
9731.093883514404
wall_clock_time_millis_testing
8.85772705078125
wall_clock_time_millis_testing
10.370254516601562
wall_clock_time_millis_testing
9.28950309753418
wall_clock_time_millis_testing
9.280204772949219
wall_clock_time_millis_testing
10.420560836791992
wall_clock_time_millis_testing
10.249614715576172
wall_clock_time_millis_testing
9.845256805419922
wall_clock_time_millis_testing
9.678840637207031
wall_clock_time_millis_testing
10.578393936157227
wall_clock_time_millis_testing
6.412506103515625
wall_clock_time_millis_training
8248.872995376587
wall_clock_time_millis_training
13338.311433792114
wall_clock_time_millis_training
8260.191440582275
wall_clock_time_millis_training
9702.8489112854
wall_clock_time_millis_training
14764.147758483887
wall_clock_time_millis_training
11855.847835540771
wall_clock_time_millis_training
9630.372762680054
wall_clock_time_millis_training
11878.00407409668
wall_clock_time_millis_training
15242.27261543274
wall_clock_time_millis_training
9724.681377410889
weighted_recall
0.9945054945054945 [0.99095,1,1,0.987805]
weighted_recall
0.9908424908424909 [1,1,0.848485,1]
weighted_recall
0.9981684981684982 [0.995455,1,1,1]
weighted_recall
0.9981684981684982 [1,0.995238,1,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
0.998165137614679 [1,0.995238,1,1]
weighted_recall
0.998165137614679 [1,0.995215,1,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
1 [1,1,1,1]