10584659
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)
8300941
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
0.8501060391302641
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1646
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
80
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
18
19040
random_state
18004
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.1305177253777599
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
22095586
description
https://api.openml.org/data/download/22095586/description.xml
-1
22095587
predictions
https://api.openml.org/data/download/22095587/predictions.arff
area_under_roc_curve
0.9999721104347361 [0.999951,0.999993,0.999908,1]
average_cost
0
f_measure
0.9976121285160845 [0.997511,0.99833,0.987692,1]
kappa
0.9964008830136779
kb_relative_information_score
0.9958144294453486
mean_absolute_error
0.001244122937550176
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9976173020527859 [0.999546,0.997616,0.978659,1]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9976208122317849 [0.995483,0.999045,0.996894,1]
predictive_accuracy
0.997617302052786
prior_entropy
1.7146330399083418
relative_absolute_error
0.0037559771918144664
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.03166060658667031
root_relative_squared_error
0.07780098081150838
total_cost
0
unweighted_recall
0.9939551658096505 [0.999546,0.997616,0.978659,1]
area_under_roc_curve
0.9999889137114413 [0.999986,0.999986,1,1]
area_under_roc_curve
0.9998127029166166 [0.999652,1,0.999232,1]
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
0.9999887085391672 [0.999972,1,1,1]
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
0.9981685968161318 [0.997732,0.997625,1,1]
f_measure
0.9885351255886968 [0.986607,1,0.9,1]
f_measure
1 [1,1,1,1]
f_measure
0.9981799805295691 [1,0.997613,0.985075,1]
f_measure
0.9981565848731937 [1,0.997625,0.984615,1]
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
0.9981650084906499 [0.997743,0.997602,1,1]
f_measure
0.9981650084906499 [0.997743,0.997602,1,1]
kappa
0.9972336641789911
kappa
0.9833056453010183
kappa
1
kappa
0.9972398453100119
kappa
0.9972348970176389
kappa
1
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
0.9972289732456097
kappa
0.9972289732456097
kb_relative_information_score
0.9974922999008468
kb_relative_information_score
0.9748214452547086
kb_relative_information_score
0.9996018718426792
kb_relative_information_score
0.9971515834033449
kb_relative_information_score
0.998490354581542
kb_relative_information_score
0.9988949741813439
kb_relative_information_score
0.9973948424347711
kb_relative_information_score
0.9982501644291649
kb_relative_information_score
0.9977075078071388
kb_relative_information_score
0.9983408157253265
mean_absolute_error
0.0010902570084617388
mean_absolute_error
0.005435983441655166
mean_absolute_error
0.00022304217684446806
mean_absolute_error
0.0011628143318590679
mean_absolute_error
0.0006069599342867607
mean_absolute_error
0.0005225225829589763
mean_absolute_error
0.0011267400521942188
mean_absolute_error
0.0006765792269525434
mean_absolute_error
0.0009546857188444388
mean_absolute_error
0.0006387516136447892
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
0.9893014474512273 [0.973568,1,1,1]
precision
1 [1,1,1,1]
precision
0.9982223658694247 [1,1,0.970588,1]
precision
0.998177178271965 [1,0.995261,1,1]
precision
1 [1,1,1,1]
precision
0.9981734401594088 [0.995475,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.989010989010989
predictive_accuracy
1
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9981684981684981
predictive_accuracy
1
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
0.003292401305466871
relative_absolute_error
0.016415798147496937
relative_absolute_error
0.0006730814905050859
relative_absolute_error
0.0035090618946664437
relative_absolute_error
0.0018316423513543845
relative_absolute_error
0.0015768330633082154
relative_absolute_error
0.0034028089209134937
relative_absolute_error
0.002043413657838741
relative_absolute_error
0.0028826261045066474
relative_absolute_error
0.0019286787677277922
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
0.03054092339881013
root_mean_squared_error
0.07193973364515947
root_mean_squared_error
0.004980989484696529
root_mean_squared_error
0.027821845387239474
root_mean_squared_error
0.01823846562529653
root_mean_squared_error
0.013743064377950661
root_mean_squared_error
0.030708835725255453
root_mean_squared_error
0.02191199013524521
root_mean_squared_error
0.027174209441381207
root_mean_squared_error
0.02076747005696473
root_relative_squared_error
0.07507101074358466
root_relative_squared_error
0.176831212561726
root_relative_squared_error
0.012234958165294085
root_relative_squared_error
0.06833965729901441
root_relative_squared_error
0.04479970588379041
root_relative_squared_error
0.03375751308927209
root_relative_squared_error
0.07548895532360521
root_relative_squared_error
0.05386736120277989
root_relative_squared_error
0.06678685778092355
root_relative_squared_error
0.051040825020357755
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
0.9545454545454546 [1,1,0.818182,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
unweighted_recall
0.9924242424242424 [1,1,0.969697,1]
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
0.9988038277511961 [1,0.995215,1,1]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
usercpu_time_millis
6570.874838000236
usercpu_time_millis
4513.318759999493
usercpu_time_millis
4057.1985550004683
usercpu_time_millis
5951.786811999227
usercpu_time_millis
7236.950037999122
usercpu_time_millis
4907.046361000539
usercpu_time_millis
6395.512852999673
usercpu_time_millis
3745.971701000599
usercpu_time_millis
3886.9203260001086
usercpu_time_millis
3773.2592239999576
usercpu_time_millis_testing
8.518114000253263
usercpu_time_millis_testing
8.07414799965045
usercpu_time_millis_testing
7.422292000228481
usercpu_time_millis_testing
8.515006999914476
usercpu_time_millis_testing
8.495415999277611
usercpu_time_millis_testing
8.134953000080714
usercpu_time_millis_testing
8.492812000440608
usercpu_time_millis_testing
7.766083000205981
usercpu_time_millis_testing
7.350392000262218
usercpu_time_millis_testing
5.081123000309162
usercpu_time_millis_training
6562.356723999983
usercpu_time_millis_training
4505.244611999842
usercpu_time_millis_training
4049.77626300024
usercpu_time_millis_training
5943.271804999313
usercpu_time_millis_training
7228.454621999845
usercpu_time_millis_training
4898.911408000458
usercpu_time_millis_training
6387.020040999232
usercpu_time_millis_training
3738.205618000393
usercpu_time_millis_training
3879.5699339998464
usercpu_time_millis_training
3768.1781009996484
wall_clock_time_millis
6675.780296325684
wall_clock_time_millis
4596.241474151611
wall_clock_time_millis
4170.715570449829
wall_clock_time_millis
6051.590204238892
wall_clock_time_millis
7391.5112018585205
wall_clock_time_millis
4981.515645980835
wall_clock_time_millis
6522.5019454956055
wall_clock_time_millis
3825.904130935669
wall_clock_time_millis
3943.922519683838
wall_clock_time_millis
3824.0766525268555
wall_clock_time_millis_testing
8.590936660766602
wall_clock_time_millis_testing
8.08095932006836
wall_clock_time_millis_testing
7.427215576171875
wall_clock_time_millis_testing
8.530139923095703
wall_clock_time_millis_testing
8.50057601928711
wall_clock_time_millis_testing
8.151531219482422
wall_clock_time_millis_testing
8.499622344970703
wall_clock_time_millis_testing
7.771730422973633
wall_clock_time_millis_testing
7.355213165283203
wall_clock_time_millis_testing
5.08570671081543
wall_clock_time_millis_training
6667.189359664917
wall_clock_time_millis_training
4588.160514831543
wall_clock_time_millis_training
4163.288354873657
wall_clock_time_millis_training
6043.060064315796
wall_clock_time_millis_training
7383.010625839233
wall_clock_time_millis_training
4973.3641147613525
wall_clock_time_millis_training
6514.002323150635
wall_clock_time_millis_training
3818.1324005126953
wall_clock_time_millis_training
3936.5673065185547
wall_clock_time_millis_training
3818.99094581604
weighted_recall
0.9981684981684982 [0.995475,1,1,1]
weighted_recall
0.989010989010989 [1,1,0.818182,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
0.9981684981684982 [1,0.995238,1,1]
weighted_recall
0.9981684981684982 [1,1,0.969697,1]
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
0.998165137614679 [1,0.995215,1,1]
weighted_recall
0.998165137614679 [1,0.995215,1,1]