10584488
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)
8300770
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
0.3708504901786388
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1927
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
165
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
3
19040
random_state
8484
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.1279125246885829
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
22095244
description
https://api.openml.org/data/download/22095244/description.xml
-1
22095245
predictions
https://api.openml.org/data/download/22095245/predictions.arff
area_under_roc_curve
0.9999722953029335 [0.999969,0.999997,0.999766,1]
average_cost
0
f_measure
0.9977968011446375 [0.997508,0.998569,0.989247,1]
kappa
0.9966781091747903
kb_relative_information_score
0.9959338436642082
mean_absolute_error
0.001421523409176379
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9978005865102639 [0.998639,0.998569,0.981707,1]
number_of_instances
5456 [2205,2097,328,826]
precision
0.997801066655306 [0.99638,0.998569,0.996904,1]
predictive_accuracy
0.9978005865102639
prior_entropy
1.7146330399083418
relative_absolute_error
0.004291544944111675
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.030068142814435886
root_relative_squared_error
0.07388775056282468
total_cost
0
unweighted_recall
0.9947290394227408 [0.998639,0.998569,0.981707,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9996242523907841 [0.999513,1,0.997046,1]
area_under_roc_curve
0.9999943818962225 [0.999986,1,1,1]
area_under_roc_curve
0.9999964298209912 [1,1,0.999941,1]
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
0.9981685968161318 [0.997732,0.997625,1,1]
f_measure
0.9885351255886968 [0.986607,1,0.9,1]
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
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
1 [1,1,1,1]
f_measure
1 [1,1,1,1]
kappa
0.9972336641789911
kappa
0.9833056453010183
kappa
0.9972375131546992
kappa
0.9972398453100119
kappa
1
kappa
0.9972375131546992
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
1
kappa
1
kb_relative_information_score
0.9962664676276088
kb_relative_information_score
0.9791143675848406
kb_relative_information_score
0.9975186715301229
kb_relative_information_score
0.9970614664644039
kb_relative_information_score
0.9996073075422074
kb_relative_information_score
0.9974633303536201
kb_relative_information_score
0.9972230458797047
kb_relative_information_score
0.9977549514028639
kb_relative_information_score
0.9987800894948471
kb_relative_information_score
0.9985537328456964
mean_absolute_error
0.001654095871790277
mean_absolute_error
0.005188708413325792
mean_absolute_error
0.0010856236617610882
mean_absolute_error
0.0013298563317656756
mean_absolute_error
0.0002326650633925717
mean_absolute_error
0.001136246434156352
mean_absolute_error
0.0012313800190882176
mean_absolute_error
0.0009293434615292126
mean_absolute_error
0.0006859890735406915
mean_absolute_error
0.000737476118622833
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
0.998177178271965 [1,0.995261,1,1]
precision
0.9982223658694247 [1,1,0.970588,1]
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
1 [1,1,1,1]
precision
1 [1,1,1,1]
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.989010989010989
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9981684981684981
predictive_accuracy
1
predictive_accuracy
0.9981684981684981
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
0.004995104241827756
relative_absolute_error
0.015669067220970122
relative_absolute_error
0.003276121147684476
relative_absolute_error
0.0040131498652232036
relative_absolute_error
0.0007021207821421805
relative_absolute_error
0.003428887102444072
relative_absolute_error
0.003718826632485546
relative_absolute_error
0.0028068155900463788
relative_absolute_error
0.0020713099313858525
relative_absolute_error
0.0022267725064177048
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
0.030624747335828803
root_mean_squared_error
0.0657581153537382
root_mean_squared_error
0.026998387613346244
root_mean_squared_error
0.025841797893428445
root_mean_squared_error
0.0013453790353395027
root_mean_squared_error
0.02231674812342083
root_mean_squared_error
0.028893386464377738
root_mean_squared_error
0.028152223515120086
root_mean_squared_error
0.008149101594797514
root_mean_squared_error
0.013616295707837926
root_relative_squared_error
0.07527705388099495
root_relative_squared_error
0.16163650717878053
root_relative_squared_error
0.06631697256028449
root_relative_squared_error
0.06347600554337347
root_relative_squared_error
0.003304696037688063
root_relative_squared_error
0.054817317023927545
root_relative_squared_error
0.07102618866671236
root_relative_squared_error
0.06920804470019888
root_relative_squared_error
0.02002828786714377
root_relative_squared_error
0.033465172442424106
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
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
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
1 [1,1,1,1]
unweighted_recall
1 [1,1,1,1]
usercpu_time_millis
4713.485371999013
usercpu_time_millis
4571.665517999463
usercpu_time_millis
4991.626585999256
usercpu_time_millis
4824.181955000313
usercpu_time_millis
4872.060980000242
usercpu_time_millis
5297.031643000082
usercpu_time_millis
5138.804821999656
usercpu_time_millis
5422.325407999779
usercpu_time_millis
4130.24813300035
usercpu_time_millis
4550.465773000724
usercpu_time_millis_testing
7.986325999809196
usercpu_time_millis_testing
8.280881999780831
usercpu_time_millis_testing
8.014817999537627
usercpu_time_millis_testing
8.493368000017654
usercpu_time_millis_testing
8.062851000431692
usercpu_time_millis_testing
7.888324999839824
usercpu_time_millis_testing
7.929821999823616
usercpu_time_millis_testing
7.8267429998959415
usercpu_time_millis_testing
7.982910999999149
usercpu_time_millis_testing
5.464412000037555
usercpu_time_millis_training
4705.499045999204
usercpu_time_millis_training
4563.384635999682
usercpu_time_millis_training
4983.611767999719
usercpu_time_millis_training
4815.688587000295
usercpu_time_millis_training
4863.99812899981
usercpu_time_millis_training
5289.143318000242
usercpu_time_millis_training
5130.874999999833
usercpu_time_millis_training
5414.498664999883
usercpu_time_millis_training
4122.265222000351
usercpu_time_millis_training
4545.001361000686
wall_clock_time_millis
4803.715467453003
wall_clock_time_millis
4642.369031906128
wall_clock_time_millis
5075.421333312988
wall_clock_time_millis
4920.185804367065
wall_clock_time_millis
4953.086376190186
wall_clock_time_millis
5382.775545120239
wall_clock_time_millis
5235.812187194824
wall_clock_time_millis
5519.992113113403
wall_clock_time_millis
4185.178756713867
wall_clock_time_millis
4609.553575515747
wall_clock_time_millis_testing
7.993459701538086
wall_clock_time_millis_testing
8.378267288208008
wall_clock_time_millis_testing
8.020401000976562
wall_clock_time_millis_testing
8.498430252075195
wall_clock_time_millis_testing
8.068561553955078
wall_clock_time_millis_testing
7.8945159912109375
wall_clock_time_millis_testing
7.935523986816406
wall_clock_time_millis_testing
7.832765579223633
wall_clock_time_millis_testing
8.014202117919922
wall_clock_time_millis_testing
5.468845367431641
wall_clock_time_millis_training
4795.722007751465
wall_clock_time_millis_training
4633.99076461792
wall_clock_time_millis_training
5067.400932312012
wall_clock_time_millis_training
4911.68737411499
wall_clock_time_millis_training
4945.0178146362305
wall_clock_time_millis_training
5374.881029129028
wall_clock_time_millis_training
5227.876663208008
wall_clock_time_millis_training
5512.15934753418
wall_clock_time_millis_training
4177.164554595947
wall_clock_time_millis_training
4604.084730148315
weighted_recall
0.9981684981684982 [0.995475,1,1,1]
weighted_recall
0.989010989010989 [1,1,0.818182,1]
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
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
1 [1,1,1,1]
weighted_recall
1 [1,1,1,1]