10584736
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)
8301018
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
0.1397339579079231
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1285
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
174
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
9
19040
random_state
43996
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.059134564716420715
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
22095740
description
https://api.openml.org/data/download/22095740/description.xml
-1
22095741
predictions
https://api.openml.org/data/download/22095741/predictions.arff
area_under_roc_curve
0.9999637542148289 [0.999934,0.999997,0.999858,1]
average_cost
0
f_measure
0.9979804434388723 [0.997736,0.999046,0.98773,1]
kappa
0.9969551900119515
kb_relative_information_score
0.9962682687676984
mean_absolute_error
0.0012706823437994774
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9979838709677419 [0.999093,0.998569,0.981707,1]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9979831494907785 [0.996382,0.999523,0.993827,1]
predictive_accuracy
0.9979838709677419
prior_entropy
1.7146330399083418
relative_absolute_error
0.003836159399769689
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.02948175600281783
root_relative_squared_error
0.07244679683523483
total_cost
0
unweighted_recall
0.9948424181075479 [0.999093,0.998569,0.981707,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.999732302485339 [0.999471,1,0.999114,1]
area_under_roc_curve
1 [1,1,1,1]
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
0.9981685968161318 [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
0.9963865924819038 [0.997722,0.997613,0.970588,1]
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
0.9972336641789911
kappa
0.9833056453010183
kappa
1
kappa
0.9944849041928869
kappa
1
kappa
1
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
1
kappa
1
kb_relative_information_score
0.9965998152266177
kb_relative_information_score
0.9800159559965061
kb_relative_information_score
0.9992083974741008
kb_relative_information_score
0.9955136784131193
kb_relative_information_score
0.9997548889991572
kb_relative_information_score
0.9980772413581853
kb_relative_information_score
0.9975380105305345
kb_relative_information_score
0.9978530577663136
kb_relative_information_score
0.9987568294246914
kb_relative_information_score
0.9993699072612731
mean_absolute_error
0.0015632791454636438
mean_absolute_error
0.004873155972400883
mean_absolute_error
0.0004015288074648122
mean_absolute_error
0.0019477116374222736
mean_absolute_error
0.00014471362695767676
mean_absolute_error
0.000940393197589692
mean_absolute_error
0.0010545361374946563
mean_absolute_error
0.0008753595184034878
mean_absolute_error
0.000566033382512636
mean_absolute_error
0.00033598964838680423
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
0.9965463108320249 [1,1,0.942857,1]
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
0.9981684981684981
predictive_accuracy
0.989010989010989
predictive_accuracy
1
predictive_accuracy
0.9963369963369964
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
0.004720852293896776
relative_absolute_error
0.01471614945902859
relative_absolute_error
0.0012117062881681097
relative_absolute_error
0.005877671526244344
relative_absolute_error
0.00043670692739423874
relative_absolute_error
0.0028378545441470056
relative_absolute_error
0.0031847496404378613
relative_absolute_error
0.0026437725608006203
relative_absolute_error
0.0017091096810666676
relative_absolute_error
0.0010145040531832122
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
0.030388821512135743
root_mean_squared_error
0.06542323578946013
root_mean_squared_error
0.01031069313861909
root_mean_squared_error
0.03508850167944984
root_mean_squared_error
0.0013960172924439667
root_mean_squared_error
0.017160551079545068
root_mean_squared_error
0.029040373946374425
root_mean_squared_error
0.026812066611875775
root_mean_squared_error
0.01502712426047164
root_mean_squared_error
0.007942951570384835
root_relative_squared_error
0.07469713722903672
root_relative_squared_error
0.16081335762827592
root_relative_squared_error
0.025326473704426054
root_relative_squared_error
0.08618896937042538
root_relative_squared_error
0.0034290803511141475
root_relative_squared_error
0.04215199112479517
root_relative_squared_error
0.07138751566591381
root_relative_squared_error
0.06591346873836773
root_relative_squared_error
0.03693260747862161
root_relative_squared_error
0.01952162685859876
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
0.9976731601731602 [0.995455,0.995238,1,1]
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
13126.62535399977
usercpu_time_millis
15658.3975930007
usercpu_time_millis
15676.19566600024
usercpu_time_millis
13625.077396000052
usercpu_time_millis
15637.990533999982
usercpu_time_millis
15637.277488000109
usercpu_time_millis
15657.91885500039
usercpu_time_millis
15660.144414999195
usercpu_time_millis
15622.777284998847
usercpu_time_millis
15494.828940000843
usercpu_time_millis_testing
11.199909999959345
usercpu_time_millis_testing
10.795975999826624
usercpu_time_millis_testing
10.971699000037916
usercpu_time_millis_testing
10.386388000370061
usercpu_time_millis_testing
11.829715000203578
usercpu_time_millis_testing
11.39984400015237
usercpu_time_millis_testing
10.830434000126843
usercpu_time_millis_testing
10.67156299995986
usercpu_time_millis_testing
10.727067999141582
usercpu_time_millis_testing
7.208147000710596
usercpu_time_millis_training
13115.425443999811
usercpu_time_millis_training
15647.601617000873
usercpu_time_millis_training
15665.223967000202
usercpu_time_millis_training
13614.691007999681
usercpu_time_millis_training
15626.160818999779
usercpu_time_millis_training
15625.877643999956
usercpu_time_millis_training
15647.088421000262
usercpu_time_millis_training
15649.472851999235
usercpu_time_millis_training
15612.050216999705
usercpu_time_millis_training
15487.620793000133
wall_clock_time_millis
13375.184297561646
wall_clock_time_millis
15913.059711456299
wall_clock_time_millis
16002.191305160522
wall_clock_time_millis
13897.369861602783
wall_clock_time_millis
15920.002460479736
wall_clock_time_millis
15921.553611755371
wall_clock_time_millis
15925.560474395752
wall_clock_time_millis
15959.359169006348
wall_clock_time_millis
15868.086576461792
wall_clock_time_millis
15772.439002990723
wall_clock_time_millis_testing
11.329412460327148
wall_clock_time_millis_testing
10.888814926147461
wall_clock_time_millis_testing
10.977745056152344
wall_clock_time_millis_testing
10.39266586303711
wall_clock_time_millis_testing
11.837959289550781
wall_clock_time_millis_testing
11.408090591430664
wall_clock_time_millis_testing
10.836124420166016
wall_clock_time_millis_testing
10.684490203857422
wall_clock_time_millis_testing
10.733366012573242
wall_clock_time_millis_testing
7.213592529296875
wall_clock_time_millis_training
13363.854885101318
wall_clock_time_millis_training
15902.170896530151
wall_clock_time_millis_training
15991.21356010437
wall_clock_time_millis_training
13886.977195739746
wall_clock_time_millis_training
15908.164501190186
wall_clock_time_millis_training
15910.14552116394
wall_clock_time_millis_training
15914.724349975586
wall_clock_time_millis_training
15948.67467880249
wall_clock_time_millis_training
15857.353210449219
wall_clock_time_millis_training
15765.225410461426
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
0.9963369963369964 [0.995455,0.995238,1,1]
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]