10584552
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)
8300834
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
0.03658300706601263
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1678
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
56
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
15
19040
random_state
21728
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.21000940989381528
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
22095372
description
https://api.openml.org/data/download/22095372/description.xml
-1
22095373
predictions
https://api.openml.org/data/download/22095373/predictions.arff
area_under_roc_curve
0.9998135850297472 [0.999888,0.99991,0.999713,0.99941]
average_cost
0
f_measure
0.9957741946909648 [0.995698,0.996665,0.982998,0.998788]
kappa
0.9936298641843466
kb_relative_information_score
0.9758164604614937
mean_absolute_error
0.012127495647641102
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9957844574780058 [0.997279,0.997616,0.969512,0.997579]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9957899671503163 [0.994123,0.995716,0.996865,1]
predictive_accuracy
0.9957844574780058
prior_entropy
1.7146330399083418
relative_absolute_error
0.03661261734797982
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.04503785556811218
root_relative_squared_error
0.1106734745354318
total_cost
0
unweighted_recall
0.9904963601432473 [0.997279,0.997616,0.969512,0.997579]
area_under_roc_curve
0.9985730687568505 [0.999694,0.999178,1,0.993429]
area_under_roc_curve
0.9995898798058042 [0.999401,1,0.997224,1]
area_under_roc_curve
0.9999739574058808 [0.999944,1,0.999941,1]
area_under_roc_curve
0.99997276956258 [0.999986,0.999972,0.999823,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.999952761818561 [0.999902,1,1,0.999948]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9999943368444897 [0.999986,1,1,1]
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
0.9926805177245934 [0.995455,0.990566,0.984615,0.993865]
f_measure
0.9885351255886968 [0.986607,1,0.9,1]
f_measure
0.9963250830416918 [0.995455,0.997625,0.984615,1]
f_measure
0.9963439776271431 [0.997732,0.995215,0.985075,1]
f_measure
0.996329501971862 [0.997722,0.995261,0.984615,1]
f_measure
0.9926630342962826 [0.990909,0.995261,0.984615,0.993939]
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
0.9889181495745362
kappa
0.9833056453010183
kappa
0.9944697940352779
kappa
0.9944794115416699
kappa
0.994470074086828
kappa
0.9889324698227371
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
1
kappa
0.9972289732456097
kb_relative_information_score
0.9711718066847277
kb_relative_information_score
0.9581225602342128
kb_relative_information_score
0.9767381946571713
kb_relative_information_score
0.9741682354465264
kb_relative_information_score
0.9789532172801043
kb_relative_information_score
0.973848075570547
kb_relative_information_score
0.9800684435981667
kb_relative_information_score
0.9833527826550078
kb_relative_information_score
0.9806642359725768
kb_relative_information_score
0.9811251680267697
mean_absolute_error
0.014474920968397776
mean_absolute_error
0.01525497077328437
mean_absolute_error
0.01182631190217638
mean_absolute_error
0.01356485747396054
mean_absolute_error
0.011242594147294439
mean_absolute_error
0.012965692580569987
mean_absolute_error
0.011132793408423823
mean_absolute_error
0.009284304794788333
mean_absolute_error
0.010950197809274545
mean_absolute_error
0.010566267895378244
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
0.9928109273903666 [1,0.981308,1,1]
precision
0.9893014474512273 [0.973568,1,1,1]
precision
0.9963456764404631 [0.995455,0.995261,1,1]
precision
0.996399151376527 [0.995475,1,0.970588,1]
precision
0.9963715529753265 [1,0.990566,1,1]
precision
0.9927085493123229 [0.990909,0.990566,1,1]
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
0.9926739926739927
predictive_accuracy
0.989010989010989
predictive_accuracy
0.9963369963369964
predictive_accuracy
0.9963369963369964
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9981651376146788
predictive_accuracy
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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
0.04371193977475367
relative_absolute_error
0.04606756507778325
relative_absolute_error
0.03568863860150378
relative_absolute_error
0.04093510302057862
relative_absolute_error
0.033927134916197706
relative_absolute_error
0.03912698401274248
relative_absolute_error
0.03362156927953208
relative_absolute_error
0.028040581894097825
relative_absolute_error
0.033063578339407124
relative_absolute_error
0.03190432103592713
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
0.057427428399805636
root_mean_squared_error
0.07140067514247145
root_mean_squared_error
0.04492115856873085
root_mean_squared_error
0.048755915208933076
root_mean_squared_error
0.03632016706511397
root_mean_squared_error
0.049129824287597865
root_mean_squared_error
0.0316493379065774
root_mean_squared_error
0.03236971738343668
root_mean_squared_error
0.02849950927239789
root_mean_squared_error
0.02984099951937418
root_relative_squared_error
0.14115929103002198
root_relative_squared_error
0.17550618168043017
root_relative_squared_error
0.11034122788525606
root_relative_squared_error
0.1197606589463149
root_relative_squared_error
0.08921434706165325
root_relative_squared_error
0.12067910335362447
root_relative_squared_error
0.0778009129563453
root_relative_squared_error
0.0795761246497099
root_relative_squared_error
0.07004408634987708
root_relative_squared_error
0.07334110658270367
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
0.9871130184975235 [0.99095,1,0.969697,0.987805]
unweighted_recall
0.9545454545454546 [1,1,0.818182,1]
unweighted_recall
0.9912878787878788 [0.995455,1,0.969697,1]
unweighted_recall
0.9976190476190476 [1,0.990476,1,1]
unweighted_recall
0.9912878787878788 [0.995455,1,0.969697,1]
unweighted_recall
0.9871394669587441 [0.990909,1,0.969697,0.987952]
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
13679.483748000166
usercpu_time_millis
13688.529084000038
usercpu_time_millis
13726.249733999794
usercpu_time_millis
13696.345570999256
usercpu_time_millis
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usercpu_time_millis
13686.698884999714
usercpu_time_millis
13692.099701000188
usercpu_time_millis
13695.304136999766
usercpu_time_millis
13709.696070000064
usercpu_time_millis
13669.686258999718
usercpu_time_millis_testing
10.243994000120438
usercpu_time_millis_testing
10.684435000257508
usercpu_time_millis_testing
10.77193199944304
usercpu_time_millis_testing
10.955131999253354
usercpu_time_millis_testing
10.298052000507596
usercpu_time_millis_testing
10.397250000096392
usercpu_time_millis_testing
10.328358000151638
usercpu_time_millis_testing
10.318970999833255
usercpu_time_millis_testing
10.038256000370893
usercpu_time_millis_testing
6.6345820005153655
usercpu_time_millis_training
13669.239754000046
usercpu_time_millis_training
13677.84464899978
usercpu_time_millis_training
13715.47780200035
usercpu_time_millis_training
13685.390439000003
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
13936.760663986206
wall_clock_time_millis
13954.882860183716
wall_clock_time_millis
14049.895286560059
wall_clock_time_millis
13881.961107254028
wall_clock_time_millis
13929.393768310547
wall_clock_time_millis
13902.74167060852
wall_clock_time_millis
13966.949224472046
wall_clock_time_millis
13917.495489120483
wall_clock_time_millis
13944.32544708252
wall_clock_time_millis
13967.418909072876
wall_clock_time_millis_testing
10.329723358154297
wall_clock_time_millis_testing
13.127803802490234
wall_clock_time_millis_testing
11.12055778503418
wall_clock_time_millis_testing
10.964393615722656
wall_clock_time_millis_testing
10.336875915527344
wall_clock_time_millis_testing
10.44321060180664
wall_clock_time_millis_testing
10.333776473999023
wall_clock_time_millis_testing
10.324716567993164
wall_clock_time_millis_testing
10.050058364868164
wall_clock_time_millis_testing
6.639003753662109
wall_clock_time_millis_training
13926.430940628052
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
13934.275388717651
wall_clock_time_millis_training
13960.779905319214
weighted_recall
0.9926739926739927 [0.99095,1,0.969697,0.987805]
weighted_recall
0.989010989010989 [1,1,0.818182,1]
weighted_recall
0.9963369963369964 [0.995455,1,0.969697,1]
weighted_recall
0.9963369963369964 [1,0.990476,1,1]
weighted_recall
0.9963369963369964 [0.995455,1,0.969697,1]
weighted_recall
0.9926739926739927 [0.990909,1,0.969697,0.987952]
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]