10584482
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)
8300764
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
"median"
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
0.6411261347880468
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
737
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
117
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
15
19040
random_state
58102
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3954605862496672
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
22095232
description
https://api.openml.org/data/download/22095232/description.xml
-1
22095233
predictions
https://api.openml.org/data/download/22095233/predictions.arff
area_under_roc_curve
0.9997203468546615 [0.999459,0.999992,0.999032,1]
average_cost
0
f_measure
0.9974318803391278 [0.997054,0.998093,0.98928,1]
kappa
0.9961251987329587
kb_relative_information_score
0.9956724047905555
mean_absolute_error
0.0013479827444814805
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9974340175953079 [0.997732,0.998093,0.984756,1]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9974326261046108 [0.996377,0.998093,0.993846,1]
predictive_accuracy
0.997434017595308
prior_entropy
1.7146330399083418
relative_absolute_error
0.004069527448148761
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.033732408630256026
root_relative_squared_error
0.08289210977004574
total_cost
0
unweighted_recall
0.9951452592447007 [0.997732,0.998093,0.984756,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9999032536414454 [0.999805,1,0.999705,1]
area_under_roc_curve
0.9999889309979144 [0.999986,0.999986,1,1]
area_under_roc_curve
0.999987241538205 [0.999986,1,0.999882,1]
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
0.9999888759445335 [0.999986,0.999986,1,1]
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
0.9981685968161318 [0.997732,0.997625,1,1]
f_measure
0.9905183995843035 [0.988814,1,0.918033,1]
f_measure
0.9981685873558463 [0.997722,0.997625,1,1]
f_measure
0.9963865924819038 [0.997722,0.997613,0.970588,1]
f_measure
1 [1,1,1,1]
f_measure
0.9981685873558463 [0.997722,0.997625,1,1]
f_measure
0.9981650283842671 [0.997732,0.997613,1,1]
f_measure
0.9981650084906499 [0.997743,0.997602,1,1]
f_measure
0.9981652468450907 [0.997732,0.997613,1,1]
f_measure
0.9981650084906499 [0.997743,0.997602,1,1]
kappa
0.9972336641789911
kappa
0.9861013532089073
kappa
0.9972375131546992
kappa
0.9944849041928869
kappa
1
kappa
0.9972375131546992
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
0.9972293113440637
kappa
0.9972289732456097
kb_relative_information_score
0.9968860513927673
kb_relative_information_score
0.9778329677158425
kb_relative_information_score
0.9977928073341965
kb_relative_information_score
0.9955964332482264
kb_relative_information_score
0.9998331006358305
kb_relative_information_score
0.9982901138968217
kb_relative_information_score
0.9975064004300163
kb_relative_information_score
0.997676627528413
kb_relative_information_score
0.9979377085241005
kb_relative_information_score
0.9973753154271923
mean_absolute_error
0.0013262563877799542
mean_absolute_error
0.004597349749708716
mean_absolute_error
0.0009248189466911246
mean_absolute_error
0.0018014624969426446
mean_absolute_error
0.00009702407685608771
mean_absolute_error
0.0006733950304524991
mean_absolute_error
0.0010646157965887519
mean_absolute_error
0.0009732784555172107
mean_absolute_error
0.0008816775337698938
mean_absolute_error
0.0011375041811105787
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
0.998177178271965 [1,0.995261,1,1]
precision
0.9910450906026128 [0.977876,1,1,1]
precision
0.998177178271965 [1,0.995261,1,1]
precision
0.9965463108320249 [1,1,0.942857,1]
precision
1 [1,1,1,1]
precision
0.998177178271965 [1,0.995261,1,1]
precision
0.9981734401594088 [0.995475,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
precision
0.9981738750546091 [1,0.995238,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9908424908424908
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9963369963369964
predictive_accuracy
1
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9981651376146788
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
0.00400508158041686
relative_absolute_error
0.013883258901481265
relative_absolute_error
0.0027908556305037903
relative_absolute_error
0.005436330830723071
relative_absolute_error
0.00029279265109896294
relative_absolute_error
0.002032125659855563
relative_absolute_error
0.0032151906936500555
relative_absolute_error
0.0029395086482954685
relative_absolute_error
0.0026621815163197903
relative_absolute_error
0.0034346373699019454
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
0.033113689938469505
root_mean_squared_error
0.06694966379066133
root_mean_squared_error
0.030200019380479337
root_mean_squared_error
0.03524800223377027
root_mean_squared_error
0.0020805345904207078
root_mean_squared_error
0.021791193268945193
root_mean_squared_error
0.029811251420159442
root_mean_squared_error
0.02989827540665208
root_mean_squared_error
0.02137579831997129
root_mean_squared_error
0.03040145530275271
root_relative_squared_error
0.08139499060553698
root_relative_squared_error
0.16456538867793136
root_relative_squared_error
0.07418123945984341
root_relative_squared_error
0.08658075550357168
root_relative_squared_error
0.005110481311685705
root_relative_squared_error
0.053526380418292774
root_relative_squared_error
0.0732824991064834
root_relative_squared_error
0.07350045298166592
root_relative_squared_error
0.05253593137379839
root_relative_squared_error
0.07471855532790976
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
0.998868778280543 [0.995475,1,1,1]
unweighted_recall
0.9621212121212122 [1,1,0.848485,1]
unweighted_recall
0.9988636363636364 [0.995455,1,1,1]
unweighted_recall
0.9976731601731602 [0.995455,0.995238,1,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
0.9988636363636364 [0.995455,1,1,1]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
unweighted_recall
0.998868778280543 [0.995475,1,1,1]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
usercpu_time_millis
6417.315974999838
usercpu_time_millis
6233.338285001082
usercpu_time_millis
4390.174222000496
usercpu_time_millis
5381.730486999913
usercpu_time_millis
3256.7237130006106
usercpu_time_millis
4088.2716100004473
usercpu_time_millis
3361.637639000037
usercpu_time_millis
2778.8856350007336
usercpu_time_millis
2778.392952000104
usercpu_time_millis
2527.9909880009654
usercpu_time_millis_testing
8.83292300022731
usercpu_time_millis_testing
9.60366600065754
usercpu_time_millis_testing
8.431525000560214
usercpu_time_millis_testing
8.869876000062504
usercpu_time_millis_testing
8.080495000285737
usercpu_time_millis_testing
8.038794000640337
usercpu_time_millis_testing
8.5133840002527
usercpu_time_millis_testing
7.488750000447908
usercpu_time_millis_testing
7.725229999778094
usercpu_time_millis_testing
5.760628000643919
usercpu_time_millis_training
6408.48305199961
usercpu_time_millis_training
6223.734619000425
usercpu_time_millis_training
4381.742696999936
usercpu_time_millis_training
5372.860610999851
usercpu_time_millis_training
3248.643218000325
usercpu_time_millis_training
4080.232815999807
usercpu_time_millis_training
3353.124254999784
usercpu_time_millis_training
2771.3968850002857
usercpu_time_millis_training
2770.6677220003257
usercpu_time_millis_training
2522.2303600003215
wall_clock_time_millis
6519.358396530151
wall_clock_time_millis
6345.300912857056
wall_clock_time_millis
4477.777719497681
wall_clock_time_millis
5496.313095092773
wall_clock_time_millis
3330.2197456359863
wall_clock_time_millis
4156.10933303833
wall_clock_time_millis
3412.6462936401367
wall_clock_time_millis
2831.8138122558594
wall_clock_time_millis
2842.8521156311035
wall_clock_time_millis
2549.5989322662354
wall_clock_time_millis_testing
8.841276168823242
wall_clock_time_millis_testing
9.610652923583984
wall_clock_time_millis_testing
8.437395095825195
wall_clock_time_millis_testing
8.875370025634766
wall_clock_time_millis_testing
8.087396621704102
wall_clock_time_millis_testing
8.045434951782227
wall_clock_time_millis_testing
8.54349136352539
wall_clock_time_millis_testing
7.496118545532227
wall_clock_time_millis_testing
7.73167610168457
wall_clock_time_millis_testing
5.765438079833984
wall_clock_time_millis_training
6510.517120361328
wall_clock_time_millis_training
6335.690259933472
wall_clock_time_millis_training
4469.3403244018555
wall_clock_time_millis_training
5487.437725067139
wall_clock_time_millis_training
3322.132349014282
wall_clock_time_millis_training
4148.063898086548
wall_clock_time_millis_training
3404.1028022766113
wall_clock_time_millis_training
2824.317693710327
wall_clock_time_millis_training
2835.120439529419
wall_clock_time_millis_training
2543.8334941864014
weighted_recall
0.9981684981684982 [0.995475,1,1,1]
weighted_recall
0.9908424908424909 [1,1,0.848485,1]
weighted_recall
0.9981684981684982 [0.995455,1,1,1]
weighted_recall
0.9963369963369964 [0.995455,0.995238,1,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
0.9981684981684982 [0.995455,1,1,1]
weighted_recall
0.998165137614679 [1,0.995238,1,1]
weighted_recall
0.998165137614679 [1,0.995215,1,1]
weighted_recall
0.998165137614679 [0.995475,1,1,1]
weighted_recall
0.998165137614679 [1,0.995215,1,1]