10584702
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)
8300984
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
0.6898376279857141
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
604
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
50
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
14
19040
random_state
39465
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.03941819298209935
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
22095672
description
https://api.openml.org/data/download/22095672/description.xml
-1
22095673
predictions
https://api.openml.org/data/download/22095673/predictions.arff
area_under_roc_curve
0.9999689634192779 [0.999942,0.999995,0.999909,1]
average_cost
0
f_measure
0.9976161657900628 [0.997736,0.998091,0.990826,0.998789]
kappa
0.9964022339749065
kb_relative_information_score
0.9961257279742766
mean_absolute_error
0.0012123438368067125
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9976173020527859 [0.999093,0.997139,0.987805,0.998789]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9976183316404523 [0.996382,0.999044,0.993865,0.998789]
predictive_accuracy
0.997617302052786
prior_entropy
1.7146330399083418
relative_absolute_error
0.0036600368518639307
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.031232143646856704
root_relative_squared_error
0.07674810025890029
total_cost
0
unweighted_recall
0.9957064911220636 [0.999093,0.997139,0.987805,0.998789]
area_under_roc_curve
0.9999778274228824 [0.999972,0.999972,1,1]
area_under_roc_curve
0.9998638059096898 [0.999708,1,0.999705,1]
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]
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
0.9945135443258325 [0.995475,0.995238,0.985075,0.993865]
f_measure
0.9906423845188175 [0.991031,0.997613,0.935484,0.993939]
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
0.9981650084906499 [0.997743,0.997602,1,1]
kappa
0.9917025900279114
kappa
0.9861236771747197
kappa
0.9972375131546992
kappa
0.9972398453100119
kappa
1
kappa
1
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
1
kappa
0.9972289732456097
kb_relative_information_score
0.9924102055840959
kb_relative_information_score
0.9800790595197468
kb_relative_information_score
0.9980179853990637
kb_relative_information_score
0.99742422423841
kb_relative_information_score
0.999961081519356
kb_relative_information_score
0.9994735059962397
kb_relative_information_score
0.9975255084753649
kb_relative_information_score
0.9977218128213695
kb_relative_information_score
0.9999472211514217
kb_relative_information_score
0.9986989796589476
mean_absolute_error
0.0026739613278623964
mean_absolute_error
0.00468312168141606
mean_absolute_error
0.0007999319232129859
mean_absolute_error
0.001115435909765376
mean_absolute_error
0.000023049573780253015
mean_absolute_error
0.00026634506413893285
mean_absolute_error
0.0010546006114085925
mean_absolute_error
0.0009462624152434089
mean_absolute_error
0.00003115560684170336
mean_absolute_error
0.000525376488416982
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
0.9945593622064209 [0.995475,0.995238,0.970588,1]
precision
0.9909947972598575 [0.982222,1,1,0.987952]
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
0.9981734027605588 [0.995495,1,1,1]
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
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
0.00807493434877657
relative_absolute_error
0.014142276378767756
relative_absolute_error
0.0024139800767558305
relative_absolute_error
0.0033660865192833454
relative_absolute_error
0.00006955743391232256
relative_absolute_error
0.0008037579945443041
relative_absolute_error
0.0031849443547458164
relative_absolute_error
0.0028579144410289187
relative_absolute_error
0.00009407280721905728
relative_absolute_error
0.0015863482089560838
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
0.043380909351812325
root_mean_squared_error
0.06377441996350948
root_mean_squared_error
0.026207782644459648
root_mean_squared_error
0.02997589703186176
root_mean_squared_error
0.00041536848428021424
root_mean_squared_error
0.008675724327966334
root_mean_squared_error
0.030550693326808268
root_mean_squared_error
0.030210532063839647
root_mean_squared_error
0.0006359117202393465
root_mean_squared_error
0.017172514106369018
root_relative_squared_error
0.10663229364385404
root_relative_squared_error
0.15676049161084055
root_relative_squared_error
0.06437498518020263
root_relative_squared_error
0.07363072081938687
root_relative_squared_error
0.0010202824245993487
root_relative_squared_error
0.021310449366017753
root_relative_squared_error
0.0751002071288526
root_relative_squared_error
0.07426808942348961
root_relative_squared_error
0.0015628990316153607
root_relative_squared_error
0.04220539551801867
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
0.9946295216022619 [0.995475,0.995238,1,0.987805]
unweighted_recall
0.9685064935064935 [1,0.995238,0.878788,1]
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
0.9988038277511961 [1,0.995215,1,1]
usercpu_time_millis
5763.16146299996
usercpu_time_millis
6081.935215999692
usercpu_time_millis
5594.631681999999
usercpu_time_millis
5447.5769760010735
usercpu_time_millis
5616.782479000904
usercpu_time_millis
6265.843737000068
usercpu_time_millis
5891.543847999856
usercpu_time_millis
5899.805181999909
usercpu_time_millis
5410.284175000015
usercpu_time_millis
5607.6225510005315
usercpu_time_millis_testing
8.225373999266594
usercpu_time_millis_testing
7.766902999719605
usercpu_time_millis_testing
7.7521410003100755
usercpu_time_millis_testing
7.833017000848486
usercpu_time_millis_testing
8.017168000151287
usercpu_time_millis_testing
8.242543000051228
usercpu_time_millis_testing
8.042254999963916
usercpu_time_millis_testing
8.35955799993826
usercpu_time_millis_testing
7.754840000416152
usercpu_time_millis_testing
5.30384600006073
usercpu_time_millis_training
5754.936089000694
usercpu_time_millis_training
6074.168312999973
usercpu_time_millis_training
5586.879540999689
usercpu_time_millis_training
5439.743959000225
usercpu_time_millis_training
5608.765311000752
usercpu_time_millis_training
6257.601194000017
usercpu_time_millis_training
5883.501592999892
usercpu_time_millis_training
5891.445623999971
usercpu_time_millis_training
5402.529334999599
usercpu_time_millis_training
5602.318705000471
wall_clock_time_millis
5863.735914230347
wall_clock_time_millis
6255.1116943359375
wall_clock_time_millis
5673.309803009033
wall_clock_time_millis
5545.489072799683
wall_clock_time_millis
5682.224273681641
wall_clock_time_millis
6419.317722320557
wall_clock_time_millis
5978.653907775879
wall_clock_time_millis
5989.864110946655
wall_clock_time_millis
5537.201404571533
wall_clock_time_millis
5678.557634353638
wall_clock_time_millis_testing
9.561777114868164
wall_clock_time_millis_testing
7.772922515869141
wall_clock_time_millis_testing
7.758140563964844
wall_clock_time_millis_testing
7.838964462280273
wall_clock_time_millis_testing
8.022546768188477
wall_clock_time_millis_testing
8.249044418334961
wall_clock_time_millis_testing
8.054733276367188
wall_clock_time_millis_testing
8.36634635925293
wall_clock_time_millis_testing
7.798194885253906
wall_clock_time_millis_testing
5.308628082275391
wall_clock_time_millis_training
5854.1741371154785
wall_clock_time_millis_training
6247.338771820068
wall_clock_time_millis_training
5665.551662445068
wall_clock_time_millis_training
5537.650108337402
wall_clock_time_millis_training
5674.201726913452
wall_clock_time_millis_training
6411.068677902222
wall_clock_time_millis_training
5970.599174499512
wall_clock_time_millis_training
5981.497764587402
wall_clock_time_millis_training
5529.403209686279
wall_clock_time_millis_training
5673.249006271362
weighted_recall
0.9945054945054945 [0.995475,0.995238,1,0.987805]
weighted_recall
0.9908424908424909 [1,0.995238,0.878788,1]
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
0.998165137614679 [1,0.995215,1,1]