10584443
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)
8300725
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
0.20741371213745835
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
586
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
37
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
13
19040
random_state
4054
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.12779960970610363
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
22095154
description
https://api.openml.org/data/download/22095154/description.xml
-1
22095155
predictions
https://api.openml.org/data/download/22095155/predictions.arff
area_under_roc_curve
0.999748365952848 [0.999622,0.999991,0.998427,0.999993]
average_cost
0
f_measure
0.9977982498165296 [0.997736,0.998331,0.990798,0.999394]
kappa
0.996678174905923
kb_relative_information_score
0.9960187254997792
mean_absolute_error
0.001237159662130839
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9978005865102639 [0.999093,0.998093,0.984756,0.998789]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9978020404429853 [0.996382,0.998569,0.996914,1]
predictive_accuracy
0.9978005865102639
prior_entropy
1.7146330399083418
relative_absolute_error
0.0037349552309889128
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.03188173878801789
root_relative_squared_error
0.07834437855427596
total_cost
0
unweighted_recall
0.9951827318608658 [0.999093,0.998093,0.984756,0.998789]
area_under_roc_curve
0.9999597795997948 [0.999986,0.999972,1,0.999842]
area_under_roc_curve
0.9997910731244064 [0.999819,1,0.997755,1]
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
0.9963379818039968 [0.997732,0.995261,1,0.993865]
f_measure
0.9905183995843035 [0.988814,1,0.918033,1]
f_measure
0.9981685873558463 [0.997722,0.997625,1,1]
f_measure
0.9981799805295691 [1,0.997613,0.985075,1]
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
1 [1,1,1,1]
f_measure
0.9981650084906499 [0.997743,0.997602,1,1]
kappa
0.9944637379908237
kappa
0.9861013532089073
kappa
0.9972375131546992
kappa
0.9972398453100119
kappa
1
kappa
1
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
1
kappa
0.9972289732456097
kb_relative_information_score
0.9943511774529423
kb_relative_information_score
0.9789606172705654
kb_relative_information_score
0.9978193185788878
kb_relative_information_score
0.9973967345140278
kb_relative_information_score
0.9997170048502367
kb_relative_information_score
0.9989694014512874
kb_relative_information_score
0.9976929325870242
kb_relative_information_score
0.9975571227169197
kb_relative_information_score
0.9997929056674694
kb_relative_information_score
0.9979327354131027
mean_absolute_error
0.0020028793312269165
mean_absolute_error
0.004595117989405547
mean_absolute_error
0.0009202449285096182
mean_absolute_error
0.0011382729544407856
mean_absolute_error
0.00016669419631786786
mean_absolute_error
0.0005717112948804939
mean_absolute_error
0.000963691283173865
mean_absolute_error
0.0010407845148977253
mean_absolute_error
0.00012006397783185378
mean_absolute_error
0.0008485178703998841
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
0.9963715529753265 [1,0.990566,1,1]
precision
0.9910450906026128 [0.977876,1,1,1]
precision
0.998177178271965 [1,0.995261,1,1]
precision
0.9982223658694247 [1,1,0.970588,1]
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
1 [1,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
predictive_accuracy
0.9963369963369964
predictive_accuracy
0.9908424908424908
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9981684981684981
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9981651376146788
predictive_accuracy
1
predictive_accuracy
0.9981651376146788
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
0.006048374349941666
relative_absolute_error
0.013876519343304972
relative_absolute_error
0.002777052469959171
relative_absolute_error
0.003435002597337832
relative_absolute_error
0.0005030383925745868
relative_absolute_error
0.0017252714080399705
relative_absolute_error
0.002910393829530209
relative_absolute_error
0.003143391354458855
relative_absolute_error
0.0003625272169441599
relative_absolute_error
0.002562057559964036
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
0.04271222299392431
root_mean_squared_error
0.06599255437526569
root_mean_squared_error
0.025607494101782338
root_mean_squared_error
0.030234044936357684
root_mean_squared_error
0.0017780193979248296
root_mean_squared_error
0.00830493091677745
root_mean_squared_error
0.02978584494473807
root_mean_squared_error
0.029751314606079535
root_mean_squared_error
0.002389576752819815
root_mean_squared_error
0.023704826669598607
root_relative_squared_error
0.10498863146306174
root_relative_squared_error
0.1622127692018368
root_relative_squared_error
0.06290047791024606
root_relative_squared_error
0.0742648174826442
root_relative_squared_error
0.004367403909911496
root_relative_squared_error
0.020399658068866663
root_relative_squared_error
0.07322004449878765
root_relative_squared_error
0.07313917176173887
root_relative_squared_error
0.005872933418410659
root_relative_squared_error
0.058260053191945105
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
0.9958199977927381 [0.995475,1,1,0.987805]
unweighted_recall
0.9621212121212122 [1,1,0.848485,1]
unweighted_recall
0.9988636363636364 [0.995455,1,1,1]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
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
0.9988038277511961 [1,0.995215,1,1]
usercpu_time_millis
7558.087532999707
usercpu_time_millis
15067.83772200015
usercpu_time_millis
8928.990327000065
usercpu_time_millis
9769.542661999367
usercpu_time_millis
8284.064035000483
usercpu_time_millis
7989.156778000506
usercpu_time_millis
9518.08119999987
usercpu_time_millis
9187.456883000777
usercpu_time_millis
10383.11704499938
usercpu_time_millis
6479.914910999469
usercpu_time_millis_testing
8.848035000482923
usercpu_time_millis_testing
11.024888000065403
usercpu_time_millis_testing
9.08535300004587
usercpu_time_millis_testing
9.758180999597243
usercpu_time_millis_testing
8.875318000718835
usercpu_time_millis_testing
8.925821000048018
usercpu_time_millis_testing
9.72902699959377
usercpu_time_millis_testing
9.167684000203735
usercpu_time_millis_testing
9.439018999728432
usercpu_time_millis_testing
6.144060000224272
usercpu_time_millis_training
7549.239497999224
usercpu_time_millis_training
15056.812834000084
usercpu_time_millis_training
8919.90497400002
usercpu_time_millis_training
9759.78448099977
usercpu_time_millis_training
8275.188716999764
usercpu_time_millis_training
7980.230957000458
usercpu_time_millis_training
9508.352173000276
usercpu_time_millis_training
9178.289199000574
usercpu_time_millis_training
10373.678025999652
usercpu_time_millis_training
6473.770850999244
wall_clock_time_millis
7699.966907501221
wall_clock_time_millis
15324.902534484863
wall_clock_time_millis
9118.692636489868
wall_clock_time_millis
9988.224506378174
wall_clock_time_millis
8451.25436782837
wall_clock_time_millis
8133.244276046753
wall_clock_time_millis
9673.749923706055
wall_clock_time_millis
9360.002994537354
wall_clock_time_millis
10540.472030639648
wall_clock_time_millis
6564.352035522461
wall_clock_time_millis_testing
8.85462760925293
wall_clock_time_millis_testing
11.031150817871094
wall_clock_time_millis_testing
9.091377258300781
wall_clock_time_millis_testing
15.870809555053711
wall_clock_time_millis_testing
10.263681411743164
wall_clock_time_millis_testing
8.93259048461914
wall_clock_time_millis_testing
9.753704071044922
wall_clock_time_millis_testing
9.175300598144531
wall_clock_time_millis_testing
9.45901870727539
wall_clock_time_millis_testing
6.149768829345703
wall_clock_time_millis_training
7691.112279891968
wall_clock_time_millis_training
15313.871383666992
wall_clock_time_millis_training
9109.601259231567
wall_clock_time_millis_training
9972.35369682312
wall_clock_time_millis_training
8440.990686416626
wall_clock_time_millis_training
8124.311685562134
wall_clock_time_millis_training
9663.99621963501
wall_clock_time_millis_training
9350.827693939209
wall_clock_time_millis_training
10531.013011932373
wall_clock_time_millis_training
6558.202266693115
weighted_recall
0.9963369963369964 [0.995475,1,1,0.987805]
weighted_recall
0.9908424908424909 [1,1,0.848485,1]
weighted_recall
0.9981684981684982 [0.995455,1,1,1]
weighted_recall
0.9981684981684982 [1,0.995238,1,1]
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
0.998165137614679 [1,0.995215,1,1]