10584399
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)
8300681
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
0.3949945424631855
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1988
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
135
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
17
19040
random_state
59409
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.06799882122599833
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
22095066
description
https://api.openml.org/data/download/22095066/description.xml
-1
22095067
predictions
https://api.openml.org/data/download/22095067/predictions.arff
area_under_roc_curve
0.9999776056351964 [0.999964,0.999991,0.999924,1]
average_cost
0
f_measure
0.9977969947406813 [0.99751,0.998569,0.989247,1]
kappa
0.996678072768736
kb_relative_information_score
0.9958455638353114
mean_absolute_error
0.0012007420633200394
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9978005865102639 [0.999093,0.998093,0.981707,1]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9978026194700551 [0.995931,0.999045,0.996904,1]
predictive_accuracy
0.9978005865102639
prior_entropy
1.7146330399083418
relative_absolute_error
0.0036250113770612967
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.03161533452012364
root_relative_squared_error
0.07768973180018407
total_cost
0
unweighted_recall
0.9947232001771713 [0.999093,0.998093,0.981707,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9998305538116604 [0.999652,1,0.999527,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.99997429181682 [0.999972,0.999972,0.999941,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9999889309979144 [0.999986,0.999986,1,1]
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
0.9963439776271431 [0.997732,0.995215,0.985075,1]
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
1
kappa
0.9944794115416699
kappa
1
kappa
0.9972375131546992
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
1
kappa
1
kb_relative_information_score
0.9979289861209355
kb_relative_information_score
0.9733767467981255
kb_relative_information_score
0.9996660701412621
kb_relative_information_score
0.99515923785753
kb_relative_information_score
0.9995863715752005
kb_relative_information_score
0.9973605492985136
kb_relative_information_score
0.9977605924336294
kb_relative_information_score
0.997798195018816
kb_relative_information_score
0.9999034607755184
kb_relative_information_score
0.9999257894093597
mean_absolute_error
0.0008818533533060146
mean_absolute_error
0.005532238540480315
mean_absolute_error
0.0001939439544289585
mean_absolute_error
0.0020689963474845746
mean_absolute_error
0.00023078326869913288
mean_absolute_error
0.001168949592352597
mean_absolute_error
0.000923872432926658
mean_absolute_error
0.0009016091362236249
mean_absolute_error
0.000056317455779619744
mean_absolute_error
0.00004358625302933451
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
0.996399151376527 [0.995475,1,0.970588,1]
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
1
predictive_accuracy
0.9963369963369964
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
0.002663055691567198
relative_absolute_error
0.01670647310814397
relative_absolute_error
0.0005852708566977544
relative_absolute_error
0.006243676263909437
relative_absolute_error
0.0006964420302800716
relative_absolute_error
0.003527576465928457
relative_absolute_error
0.002790138994727941
relative_absolute_error
0.002723052008690731
relative_absolute_error
0.0001700477601846095
relative_absolute_error
0.00013160652589636618
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
0.021831732450106167
root_mean_squared_error
0.07333379569510132
root_mean_squared_error
0.0029889831436389386
root_mean_squared_error
0.042270826245853904
root_mean_squared_error
0.005153243896050458
root_mean_squared_error
0.022557464418671937
root_mean_squared_error
0.030275657063422903
root_mean_squared_error
0.02976591829099548
root_mean_squared_error
0.0014254021623068018
root_mean_squared_error
0.0009995846658492967
root_relative_squared_error
0.0536634141643811
root_relative_squared_error
0.18025788194437095
root_relative_squared_error
0.00734193152415773
root_relative_squared_error
0.10383113482158807
root_relative_squared_error
0.012658071991006383
root_relative_squared_error
0.055408595887524933
root_relative_squared_error
0.07442410854977186
root_relative_squared_error
0.07317507274405054
root_relative_squared_error
0.0035032530274693636
root_relative_squared_error
0.0024567087797743767
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
0.9976190476190476 [1,0.990476,1,1]
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
5969.940655000755
usercpu_time_millis
5512.93351699951
usercpu_time_millis
5536.674576001133
usercpu_time_millis
4734.699892999743
usercpu_time_millis
5370.175009999912
usercpu_time_millis
5375.0248999995165
usercpu_time_millis
10852.770459000567
usercpu_time_millis
12947.837494999476
usercpu_time_millis
11527.524944000106
usercpu_time_millis
9560.319070000332
usercpu_time_millis_testing
8.336705000147049
usercpu_time_millis_testing
7.925809999505873
usercpu_time_millis_testing
8.105583000542538
usercpu_time_millis_testing
7.650656999430794
usercpu_time_millis_testing
7.602542000313406
usercpu_time_millis_testing
7.866740999816102
usercpu_time_millis_testing
9.724926000671985
usercpu_time_millis_testing
10.14521499928378
usercpu_time_millis_testing
9.504712999842013
usercpu_time_millis_testing
6.198932000188506
usercpu_time_millis_training
5961.603950000608
usercpu_time_millis_training
5505.007707000004
usercpu_time_millis_training
5528.56899300059
usercpu_time_millis_training
4727.049236000312
usercpu_time_millis_training
5362.572467999598
usercpu_time_millis_training
5367.1581589997
usercpu_time_millis_training
10843.045532999895
usercpu_time_millis_training
12937.692280000192
usercpu_time_millis_training
11518.020231000264
usercpu_time_millis_training
9554.120138000144
wall_clock_time_millis
6057.83748626709
wall_clock_time_millis
5624.102592468262
wall_clock_time_millis
5663.999319076538
wall_clock_time_millis
4805.2074909210205
wall_clock_time_millis
5469.444274902344
wall_clock_time_millis
5462.070465087891
wall_clock_time_millis
11071.056365966797
wall_clock_time_millis
13168.250322341919
wall_clock_time_millis
11721.365451812744
wall_clock_time_millis
9723.222494125366
wall_clock_time_millis_testing
8.342981338500977
wall_clock_time_millis_testing
7.931709289550781
wall_clock_time_millis_testing
8.111238479614258
wall_clock_time_millis_testing
7.656097412109375
wall_clock_time_millis_testing
7.607460021972656
wall_clock_time_millis_testing
7.872581481933594
wall_clock_time_millis_testing
9.732484817504883
wall_clock_time_millis_testing
10.200738906860352
wall_clock_time_millis_testing
9.519338607788086
wall_clock_time_millis_testing
6.204128265380859
wall_clock_time_millis_training
6049.494504928589
wall_clock_time_millis_training
5616.170883178711
wall_clock_time_millis_training
5655.888080596924
wall_clock_time_millis_training
4797.551393508911
wall_clock_time_millis_training
5461.836814880371
wall_clock_time_millis_training
5454.197883605957
wall_clock_time_millis_training
11061.323881149292
wall_clock_time_millis_training
13158.049583435059
wall_clock_time_millis_training
11711.846113204956
wall_clock_time_millis_training
9717.018365859985
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 [1,0.990476,1,1]
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]