10584750
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)
8301032
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
"mean"
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
0.9341924275655014
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
901
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
81
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
7
19040
random_state
2513
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.1866860680002504
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
22095768
description
https://api.openml.org/data/download/22095768/description.xml
-1
22095769
predictions
https://api.openml.org/data/download/22095769/predictions.arff
area_under_roc_curve
0.99996709123179 [0.999941,0.99999,0.999911,0.999999]
average_cost
0
f_measure
0.9968795559863403 [0.997058,0.998091,0.986175,0.997579]
kappa
0.9952938848460017
kb_relative_information_score
0.9947213429037298
mean_absolute_error
0.001691594459783771
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9968841642228738 [0.999093,0.997139,0.978659,0.997579]
number_of_instances
5456 [2205,2097,328,826]
precision
0.996885984866228 [0.995032,0.999044,0.993808,0.997579]
predictive_accuracy
0.9968841642228738
prior_entropy
1.7146330399083418
relative_absolute_error
0.005106882942981922
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.035529908339687624
root_relative_squared_error
0.08730918371394983
total_cost
0
unweighted_recall
0.9931172423179533 [0.999093,0.997139,0.978659,0.997579]
area_under_roc_curve
0.999994549101692 [1,0.999986,1,1]
area_under_roc_curve
0.9999631777229618 [0.999944,1,0.999764,1]
area_under_roc_curve
0.999994549101692 [1,0.999986,1,1]
area_under_roc_curve
0.9999908117172137 [0.999986,1,0.999941,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9999943818962225 [0.999986,1,1,1]
area_under_roc_curve
0.9999495254847849 [0.999902,0.999972,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9999945391000438 [1,0.999986,1,1]
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
0.9963485877284234 [0.997732,0.995238,0.985075,1]
f_measure
0.9905183995843035 [0.988814,1,0.918033,1]
f_measure
0.9981717961438711 [1,0.997613,1,0.994012]
f_measure
0.9963216095688305 [0.997732,0.997625,0.984615,0.993939]
f_measure
1 [1,1,1,1]
f_measure
0.99815648622556 [0.997732,1,0.984615,1]
f_measure
0.9963421999821465 [0.995455,0.997613,0.984615,1]
f_measure
0.9981650084906499 [0.997743,0.997602,1,1]
f_measure
0.9981684977289228 [1,0.997602,1,0.993939]
f_measure
0.9963307118882102 [0.995495,0.997602,1,0.993865]
kappa
0.9944722854973425
kappa
0.9861013532089073
kappa
0.9972391474730109
kappa
0.9944659544708195
kappa
1
kappa
0.9972347569776806
kappa
0.9944611006656844
kappa
0.9972275636134258
kappa
0.9972309302550085
kappa
0.9944540269361296
kb_relative_information_score
0.9957310033825735
kb_relative_information_score
0.9789342361111126
kb_relative_information_score
0.9976616188688503
kb_relative_information_score
0.993554457032471
kb_relative_information_score
0.9993533382616971
kb_relative_information_score
0.9959156037606179
kb_relative_information_score
0.9950789709209079
kb_relative_information_score
0.9976450130140347
kb_relative_information_score
0.9970482216705214
kb_relative_information_score
0.9962946958281417
mean_absolute_error
0.0018561949282582353
mean_absolute_error
0.004560065104019568
mean_absolute_error
0.0009695727207956504
mean_absolute_error
0.0018186727921456842
mean_absolute_error
0.0003593932964901795
mean_absolute_error
0.0014179602803752235
mean_absolute_error
0.002114590157770531
mean_absolute_error
0.0009919166299149475
mean_absolute_error
0.0013206289702730526
mean_absolute_error
0.00150542257584342
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
0.9963908640379228 [1,0.995238,0.970588,1]
precision
0.9910450906026128 [0.977876,1,1,1]
precision
0.9981903017617304 [1,1,1,0.988095]
precision
0.9963539637790674 [0.995475,0.995261,1,1]
precision
1 [1,1,1,1]
precision
0.9981767855071022 [0.995475,1,1,1]
precision
0.9963858771198221 [0.995455,1,0.969697,1]
precision
0.9981734027605588 [0.995495,1,1,1]
precision
0.9981872443904056 [1,1,1,0.987952]
precision
0.9963631875591393 [0.991031,1,1,1]
predictive_accuracy
0.9963369963369964
predictive_accuracy
0.9908424908424908
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9963369963369964
predictive_accuracy
1
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9963302752293578
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9963302752293578
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
0.005605410978848911
relative_absolute_error
0.013770665251371172
relative_absolute_error
0.002925910521942585
relative_absolute_error
0.005488266887441941
relative_absolute_error
0.0010845526128801589
relative_absolute_error
0.004279023960824638
relative_absolute_error
0.006386163551144556
relative_absolute_error
0.0029957999126505107
relative_absolute_error
0.003987573574144086
relative_absolute_error
0.004545548686632226
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
0.03538001774946865
root_mean_squared_error
0.0655459852474754
root_mean_squared_error
0.024337814145393558
root_mean_squared_error
0.03568523988245015
root_mean_squared_error
0.006608354709628676
root_mean_squared_error
0.028000709497541378
root_mean_squared_error
0.04254345073790973
root_mean_squared_error
0.028515106114172364
root_mean_squared_error
0.02342544510136854
root_mean_squared_error
0.03477375636103123
root_relative_squared_error
0.08696572981424833
root_relative_squared_error
0.16111508150744952
root_relative_squared_error
0.059781723855964905
root_relative_squared_error
0.0876547558314836
root_relative_squared_error
0.016232305581479665
root_relative_squared_error
0.06877900673220232
root_relative_squared_error
0.10458099684400687
root_relative_squared_error
0.0701001374730005
root_relative_squared_error
0.05757340885352403
root_relative_squared_error
0.08546448887878427
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
0.9976783020900668 [0.995475,0.995238,1,1]
unweighted_recall
0.9621212121212122 [1,1,0.848485,1]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
unweighted_recall
0.9894121942314713 [1,1,0.969697,0.987952]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
0.9924242424242424 [1,1,0.969697,1]
unweighted_recall
0.9976731601731602 [0.995455,0.995238,1,1]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
unweighted_recall
0.9957550472633913 [1,0.995215,1,0.987805]
usercpu_time_millis
3075.347392999902
usercpu_time_millis
3771.2655539999105
usercpu_time_millis
4471.681725000963
usercpu_time_millis
2939.4472350004435
usercpu_time_millis
2379.66987100026
usercpu_time_millis
2380.5351839992
usercpu_time_millis
2543.524095000066
usercpu_time_millis
2838.6340789993483
usercpu_time_millis
2118.6070550002114
usercpu_time_millis
2112.2113499995976
usercpu_time_millis_testing
7.73639999988518
usercpu_time_millis_testing
7.9368870001417235
usercpu_time_millis_testing
7.755508000627742
usercpu_time_millis_testing
7.902450000074168
usercpu_time_millis_testing
7.095476999893435
usercpu_time_millis_testing
6.957238999348192
usercpu_time_millis_testing
7.200719000138633
usercpu_time_millis_testing
7.355337999797484
usercpu_time_millis_testing
6.921276999491965
usercpu_time_millis_testing
4.765616999975464
usercpu_time_millis_training
3067.6109930000166
usercpu_time_millis_training
3763.3286669997688
usercpu_time_millis_training
4463.926217000335
usercpu_time_millis_training
2931.5447850003693
usercpu_time_millis_training
2372.5743940003667
usercpu_time_millis_training
2373.5779449998518
usercpu_time_millis_training
2536.3233759999275
usercpu_time_millis_training
2831.278740999551
usercpu_time_millis_training
2111.6857780007194
usercpu_time_millis_training
2107.445732999622
wall_clock_time_millis
3158.6451530456543
wall_clock_time_millis
3873.8837242126465
wall_clock_time_millis
4549.576282501221
wall_clock_time_millis
2990.415096282959
wall_clock_time_millis
2427.523374557495
wall_clock_time_millis
2428.086280822754
wall_clock_time_millis
2592.5145149230957
wall_clock_time_millis
2907.6762199401855
wall_clock_time_millis
2157.376766204834
wall_clock_time_millis
2135.9505653381348
wall_clock_time_millis_testing
7.758378982543945
wall_clock_time_millis_testing
7.943391799926758
wall_clock_time_millis_testing
7.771730422973633
wall_clock_time_millis_testing
7.910013198852539
wall_clock_time_millis_testing
7.101774215698242
wall_clock_time_millis_testing
6.963491439819336
wall_clock_time_millis_testing
7.206439971923828
wall_clock_time_millis_testing
7.446527481079102
wall_clock_time_millis_testing
6.936311721801758
wall_clock_time_millis_testing
4.770040512084961
wall_clock_time_millis_training
3150.8867740631104
wall_clock_time_millis_training
3865.9403324127197
wall_clock_time_millis_training
4541.804552078247
wall_clock_time_millis_training
2982.5050830841064
wall_clock_time_millis_training
2420.421600341797
wall_clock_time_millis_training
2421.1227893829346
wall_clock_time_millis_training
2585.308074951172
wall_clock_time_millis_training
2900.2296924591064
wall_clock_time_millis_training
2150.440454483032
wall_clock_time_millis_training
2131.18052482605
weighted_recall
0.9963369963369964 [0.995475,0.995238,1,1]
weighted_recall
0.9908424908424909 [1,1,0.848485,1]
weighted_recall
0.9981684981684982 [1,0.995238,1,1]
weighted_recall
0.9963369963369964 [1,1,0.969697,0.987952]
weighted_recall
1 [1,1,1,1]
weighted_recall
0.9981684981684982 [1,1,0.969697,1]
weighted_recall
0.9963302752293578 [0.995455,0.995238,1,1]
weighted_recall
0.998165137614679 [1,0.995215,1,1]
weighted_recall
0.998165137614679 [1,0.995215,1,1]
weighted_recall
0.9963302752293578 [1,0.995215,1,0.987805]