10584756
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)
8301038
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
"most_frequent"
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
0.8060368690319842
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
940
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
5
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
11
19040
random_state
41746
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.35587680564905916
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
22095780
description
https://api.openml.org/data/download/22095780/description.xml
-1
22095781
predictions
https://api.openml.org/data/download/22095781/predictions.arff
area_under_roc_curve
0.99730356731881 [0.997432,0.996432,0.995262,0.999986]
average_cost
0
f_measure
0.9930326207136377 [0.993437,0.994502,0.967939,0.998187]
kappa
0.9894862572550495
kb_relative_information_score
0.9891590560831613
mean_absolute_error
0.0036435121697601775
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9930351906158358 [0.995465,0.991893,0.966463,1]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9930399324935341 [0.991418,0.997124,0.969419,0.996381]
predictive_accuracy
0.9930351906158357
prior_entropy
1.7146330399083418
relative_absolute_error
0.01099967551009463
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.054624626849865264
root_relative_squared_error
0.13423146311958017
total_cost
0
unweighted_recall
0.9884553619940596 [0.995465,0.991893,0.966463,1]
area_under_roc_curve
0.9980318953711571 [0.995433,0.999986,0.99811,1]
area_under_roc_curve
0.9997877116635551 [0.999652,1,0.998819,1]
area_under_roc_curve
0.993680213678061 [0.99353,0.990476,0.999173,1]
area_under_roc_curve
0.9999603695658442 [0.999986,0.999986,0.999527,1]
area_under_roc_curve
0.9981647367298997 [1,0.999972,0.969815,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9886371566747476 [0.993441,0.977967,0.996162,1]
area_under_roc_curve
0.9999847021253749 [0.999972,1,1,0.999974]
area_under_roc_curve
0.9968732429048751 [0.996886,0.995158,0.999882,1]
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
0.9963445144331096 [0.995455,0.997625,0.985075,1]
f_measure
0.9867069881997005 [0.986607,0.997613,0.9,0.993939]
f_measure
0.9891099612461841 [0.986364,0.995215,0.941176,1]
f_measure
0.9945443127147967 [0.995455,0.997613,0.955224,1]
f_measure
0.9981565848731937 [1,0.997625,0.984615,1]
f_measure
1 [1,1,1,1]
f_measure
0.9798513736997704 [0.9819,0.973494,0.955224,1]
f_measure
0.9963335687545114 [0.995475,0.997602,1,0.994012]
f_measure
0.988939437523573 [0.993258,0.987952,0.953846,0.993939]
f_measure
1 [1,1,1,1]
kappa
0.9944725932749885
kappa
0.9805359489106854
kappa
0.9834538769243202
kappa
0.9917195359300357
kappa
0.9972348970176389
kappa
1
kappa
0.9695879792619948
kappa
0.9944590170601273
kappa
0.9833676661326008
kappa
1
kb_relative_information_score
0.9948497571132248
kb_relative_information_score
0.972586086709903
kb_relative_information_score
0.9833653232057844
kb_relative_information_score
0.9930100705845617
kb_relative_information_score
0.995405315790873
kb_relative_information_score
0.9997663162111415
kb_relative_information_score
0.9748743069672428
kb_relative_information_score
0.9964600113738276
kb_relative_information_score
0.981372790936585
kb_relative_information_score
0.9998632119503587
mean_absolute_error
0.002218349057215556
mean_absolute_error
0.005990151022836036
mean_absolute_error
0.006131921339902748
mean_absolute_error
0.0027432850553273103
mean_absolute_error
0.0010166886053071744
mean_absolute_error
0.00013578831319962996
mean_absolute_error
0.01059952060163212
mean_absolute_error
0.0014517210513093246
mean_absolute_error
0.006076314234255759
mean_absolute_error
0.00007803359023961965
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
0.9963995441413896 [1,0.995261,0.970588,1]
precision
0.9874920119068518 [0.973568,1,1,0.987952]
precision
0.9893249607535322 [0.986364,1,0.914286,1]
precision
0.9946132299073475 [0.995455,1,0.941176,1]
precision
0.998177178271965 [1,0.995261,1,1]
precision
1 [1,1,1,1]
precision
0.9802367287531754 [0.977477,0.985366,0.914286,1]
precision
0.9963521188291832 [0.995475,1,1,0.988095]
precision
0.9890025938667955 [0.986607,0.995146,0.96875,0.987952]
precision
1 [1,1,1,1]
predictive_accuracy
0.9963369963369964
predictive_accuracy
0.9871794871794871
predictive_accuracy
0.989010989010989
predictive_accuracy
0.9945054945054944
predictive_accuracy
0.9981684981684981
predictive_accuracy
1
predictive_accuracy
0.9798165137614678
predictive_accuracy
0.9963302752293578
predictive_accuracy
0.9889908256880734
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
0.006699058364470046
relative_absolute_error
0.01808929536289351
relative_absolute_error
0.018504494591620332
relative_absolute_error
0.0082784988025274
relative_absolute_error
0.0030680936292909146
relative_absolute_error
0.00040977272341325435
relative_absolute_error
0.03201105986283249
relative_absolute_error
0.004384507394616719
relative_absolute_error
0.018347128992410405
relative_absolute_error
0.000235618549448267
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
0.043952137318022166
root_mean_squared_error
0.07536376834008385
root_mean_squared_error
0.0749723758272808
root_mean_squared_error
0.04409384977679636
root_mean_squared_error
0.030345341870239063
root_mean_squared_error
0.0024928104907922873
root_mean_squared_error
0.09095905657769429
root_mean_squared_error
0.034932706334372135
root_mean_squared_error
0.06510114746727413
root_mean_squared_error
0.0024759630893577984
root_relative_squared_error
0.10803639856328966
root_relative_squared_error
0.18524764915771605
root_relative_squared_error
0.18415696010154745
root_relative_squared_error
0.1083090837720839
root_relative_squared_error
0.07453819957552914
root_relative_squared_error
0.006123167327005119
root_relative_squared_error
0.22359702007926657
root_relative_squared_error
0.0858768509062768
root_relative_squared_error
0.1600010144416836
root_relative_squared_error
0.006085247671195928
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
0.997737556561086 [0.99095,1,1,1]
unweighted_recall
0.9533549783549784 [1,0.995238,0.818182,1]
unweighted_recall
0.9866341991341991 [0.986364,0.990476,0.969697,1]
unweighted_recall
0.9900974025974026 [0.995455,0.995238,0.969697,1]
unweighted_recall
0.9924242424242424 [1,1,0.969697,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
0.9870670995670996 [0.986364,0.961905,1,1]
unweighted_recall
0.9976726060317391 [0.995475,0.995215,1,1]
unweighted_recall
0.9800637958532695 [1,0.980861,0.939394,1]
unweighted_recall
1 [1,1,1,1]
usercpu_time_millis
5150.3707149995535
usercpu_time_millis
4007.45557800019
usercpu_time_millis
7561.750817000757
usercpu_time_millis
5587.246819999564
usercpu_time_millis
5454.005782999957
usercpu_time_millis
4128.883180999765
usercpu_time_millis
1408.8928759992996
usercpu_time_millis
4245.129075000477
usercpu_time_millis
1411.4693430001353
usercpu_time_millis
4409.97562100074
usercpu_time_millis_testing
8.744107999518747
usercpu_time_millis_testing
7.5570680000964785
usercpu_time_millis_testing
9.008494000227074
usercpu_time_millis_testing
8.755996999752824
usercpu_time_millis_testing
8.513151999977708
usercpu_time_millis_testing
7.81935400027578
usercpu_time_millis_testing
7.090842999787128
usercpu_time_millis_testing
7.928777000415721
usercpu_time_millis_testing
6.696331000057398
usercpu_time_millis_testing
5.529892000595282
usercpu_time_millis_training
5141.626607000035
usercpu_time_millis_training
3999.8985100000937
usercpu_time_millis_training
7552.74232300053
usercpu_time_millis_training
5578.490822999811
usercpu_time_millis_training
5445.492630999979
usercpu_time_millis_training
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usercpu_time_millis_training
1401.8020329995124
usercpu_time_millis_training
4237.200298000062
usercpu_time_millis_training
1404.7730120000779
usercpu_time_millis_training
4404.445729000145
wall_clock_time_millis
5225.5401611328125
wall_clock_time_millis
4079.378366470337
wall_clock_time_millis
7719.522476196289
wall_clock_time_millis
5669.666767120361
wall_clock_time_millis
5531.656980514526
wall_clock_time_millis
4202.21734046936
wall_clock_time_millis
1440.9940242767334
wall_clock_time_millis
4313.649415969849
wall_clock_time_millis
1459.282636642456
wall_clock_time_millis
4462.149858474731
wall_clock_time_millis_testing
10.130167007446289
wall_clock_time_millis_testing
7.571697235107422
wall_clock_time_millis_testing
9.015083312988281
wall_clock_time_millis_testing
8.762359619140625
wall_clock_time_millis_testing
8.644342422485352
wall_clock_time_millis_testing
7.825374603271484
wall_clock_time_millis_testing
7.097482681274414
wall_clock_time_millis_testing
7.934093475341797
wall_clock_time_millis_testing
6.702184677124023
wall_clock_time_millis_testing
5.535364151000977
wall_clock_time_millis_training
5215.409994125366
wall_clock_time_millis_training
4071.8066692352295
wall_clock_time_millis_training
7710.507392883301
wall_clock_time_millis_training
5660.904407501221
wall_clock_time_millis_training
5523.012638092041
wall_clock_time_millis_training
4194.391965866089
wall_clock_time_millis_training
1433.896541595459
wall_clock_time_millis_training
4305.715322494507
wall_clock_time_millis_training
1452.580451965332
wall_clock_time_millis_training
4456.6144943237305
weighted_recall
0.9963369963369964 [0.99095,1,1,1]
weighted_recall
0.9871794871794872 [1,0.995238,0.818182,1]
weighted_recall
0.989010989010989 [0.986364,0.990476,0.969697,1]
weighted_recall
0.9945054945054945 [0.995455,0.995238,0.969697,1]
weighted_recall
0.9981684981684982 [1,1,0.969697,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
0.9798165137614679 [0.986364,0.961905,1,1]
weighted_recall
0.9963302752293578 [0.995475,0.995215,1,1]
weighted_recall
0.9889908256880734 [1,0.980861,0.939394,1]
weighted_recall
1 [1,1,1,1]