10584496
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)
8300778
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
0.6165844387859816
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
338
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
191
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
32577
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.14690570412431295
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
22095260
description
https://api.openml.org/data/download/22095260/description.xml
-1
22095261
predictions
https://api.openml.org/data/download/22095261/predictions.arff
area_under_roc_curve
0.9999531075573679 [0.999918,0.999995,0.999805,1]
average_cost
0
f_measure
0.9970632137319191 [0.996606,0.998091,0.986175,1]
kappa
0.995570715149178
kb_relative_information_score
0.9952588703281019
mean_absolute_error
0.0015003895970975836
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9970674486803519 [0.998639,0.997139,0.978659,1]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9970700143824764 [0.99458,0.999044,0.993808,1]
predictive_accuracy
0.9970674486803519
prior_entropy
1.7146330399083418
relative_absolute_error
0.004529640066464043
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.03415222071755411
root_relative_squared_error
0.0839237322078189
total_cost
0
unweighted_recall
0.9936091905096593 [0.998639,0.997139,0.978659,1]
area_under_roc_curve
0.9999778274228824 [0.999972,0.999972,1,1]
area_under_roc_curve
0.9997518341108085 [0.999554,1,0.998878,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9999928596419826 [1,1,0.999882,1]
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
0.9945090685963078 [0.993166,0.995261,0.985075,1]
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
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
0.9981650084906499 [0.997743,0.997602,1,1]
f_measure
0.9963222259743941 [0.995495,0.997602,0.984615,1]
kappa
0.9917093515275445
kappa
0.9833056453010183
kappa
1
kappa
0.9944794115416699
kappa
1
kappa
1
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
0.9972289732456097
kappa
0.9944526439004527
kb_relative_information_score
0.9936153559011516
kb_relative_information_score
0.9781745166015122
kb_relative_information_score
0.9992606177680855
kb_relative_information_score
0.9948585554591942
kb_relative_information_score
0.999875679981972
kb_relative_information_score
0.9984797668724772
kb_relative_information_score
0.9979542196126664
kb_relative_information_score
0.998178648787001
kb_relative_information_score
0.9980882984693512
kb_relative_information_score
0.9941042613586438
mean_absolute_error
0.0026656071463227785
mean_absolute_error
0.005027066272796412
mean_absolute_error
0.00041949298021131597
mean_absolute_error
0.0022096274199558262
mean_absolute_error
0.00007269663547053253
mean_absolute_error
0.0007643801949259196
mean_absolute_error
0.0008286307993215715
mean_absolute_error
0.0007121407212911564
mean_absolute_error
0.000751719969061243
mean_absolute_error
0.001548576890211629
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
0.9945939188447512 [1,0.990566,0.970588,1]
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
1 [1,1,1,1]
precision
0.9981734401594088 [0.995475,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
precision
0.9963631875591393 [0.991031,1,1,1]
predictive_accuracy
0.9945054945054944
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
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
0.008049706060406335
relative_absolute_error
0.015180933881430058
relative_absolute_error
0.0012659173451931634
relative_absolute_error
0.00666806313642586
relative_absolute_error
0.00021937895535933266
relative_absolute_error
0.0023066944924594723
relative_absolute_error
0.002502504699805496
relative_absolute_error
0.002150816960112717
relative_absolute_error
0.0022697811052602105
relative_absolute_error
0.004675850995197664
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
0.046867941757134886
root_mean_squared_error
0.06781435749628331
root_mean_squared_error
0.006061309216185241
root_mean_squared_error
0.042905032175320455
root_mean_squared_error
0.001514892944246781
root_mean_squared_error
0.014463874798813697
root_mean_squared_error
0.024075038981679533
root_mean_squared_error
0.02252055819531812
root_mean_squared_error
0.02429057796299132
root_mean_squared_error
0.033151089515624475
root_relative_squared_error
0.1152035815432041
root_relative_squared_error
0.16669084603941986
root_relative_squared_error
0.01488858085623045
root_relative_squared_error
0.10538895441527417
root_relative_squared_error
0.0037210782826793674
root_relative_squared_error
0.03552806196745439
root_relative_squared_error
0.05918164916318857
root_relative_squared_error
0.05536343505577478
root_relative_squared_error
0.05969967145981779
root_relative_squared_error
0.08147641260875414
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
0.996606334841629 [0.986425,1,1,1]
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
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
0.9988038277511961 [1,0.995215,1,1]
unweighted_recall
0.9912280701754386 [1,0.995215,0.969697,1]
usercpu_time_millis
3994.369567999456
usercpu_time_millis
4540.91113100003
usercpu_time_millis
3278.157134000139
usercpu_time_millis
3564.636404999874
usercpu_time_millis
4414.040220998686
usercpu_time_millis
3704.548822999641
usercpu_time_millis
5249.210226999821
usercpu_time_millis
5118.619584000044
usercpu_time_millis
5047.001964999254
usercpu_time_millis
3575.355175998993
usercpu_time_millis_testing
7.848200999433175
usercpu_time_millis_testing
7.807875999787939
usercpu_time_millis_testing
7.412799000121595
usercpu_time_millis_testing
7.988428999851749
usercpu_time_millis_testing
8.004585999515257
usercpu_time_millis_testing
7.492253000236815
usercpu_time_millis_testing
7.884181000008539
usercpu_time_millis_testing
8.182517000022926
usercpu_time_millis_testing
5.527723999875889
usercpu_time_millis_testing
7.347638999817718
usercpu_time_millis_training
3986.521367000023
usercpu_time_millis_training
4533.103255000242
usercpu_time_millis_training
3270.7443350000176
usercpu_time_millis_training
3556.647976000022
usercpu_time_millis_training
4406.035634999171
usercpu_time_millis_training
3697.056569999404
usercpu_time_millis_training
5241.326045999813
usercpu_time_millis_training
5110.437067000021
usercpu_time_millis_training
5041.474240999378
usercpu_time_millis_training
3568.0075369991755
wall_clock_time_millis
4105.11040687561
wall_clock_time_millis
4654.454231262207
wall_clock_time_millis
3346.6556072235107
wall_clock_time_millis
3613.016128540039
wall_clock_time_millis
4489.737987518311
wall_clock_time_millis
3754.776954650879
wall_clock_time_millis
5362.839937210083
wall_clock_time_millis
5193.905830383301
wall_clock_time_millis
5109.984874725342
wall_clock_time_millis
3648.4036445617676
wall_clock_time_millis_testing
9.284734725952148
wall_clock_time_millis_testing
7.813692092895508
wall_clock_time_millis_testing
7.418632507324219
wall_clock_time_millis_testing
7.995128631591797
wall_clock_time_millis_testing
8.016109466552734
wall_clock_time_millis_testing
7.498025894165039
wall_clock_time_millis_testing
7.890224456787109
wall_clock_time_millis_testing
8.229255676269531
wall_clock_time_millis_testing
5.532979965209961
wall_clock_time_millis_testing
7.451534271240234
wall_clock_time_millis_training
4095.825672149658
wall_clock_time_millis_training
4646.6405391693115
wall_clock_time_millis_training
3339.2369747161865
wall_clock_time_millis_training
3605.0209999084473
wall_clock_time_millis_training
4481.721878051758
wall_clock_time_millis_training
3747.278928756714
wall_clock_time_millis_training
5354.949712753296
wall_clock_time_millis_training
5185.676574707031
wall_clock_time_millis_training
5104.451894760132
wall_clock_time_millis_training
3640.9521102905273
weighted_recall
0.9945054945054945 [0.986425,1,1,1]
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
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
0.998165137614679 [1,0.995215,1,1]
weighted_recall
0.9963302752293578 [1,0.995215,0.969697,1]