10571788
28997
Marc Boel
9960
Supervised Classification
19030
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(2)
8288070
Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1.
memory
null
19030
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}]
19030
verbose
false
19030
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
"median"
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
ccp_alpha
0.0
19034
class_weight
null
19034
criterion
"gini"
19034
max_depth
null
19034
max_features
0.8155431008956975
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
3
19034
min_samples_split
17
19034
min_weight_fraction_leaf
0.0
19034
random_state
60688
19034
splitter
"random"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22069843
description
https://api.openml.org/data/download/22069843/description.xml
-1
22069844
predictions
https://api.openml.org/data/download/22069844/predictions.arff
area_under_roc_curve
0.980559730167483 [0.974304,0.988031,0.980301,0.978394]
average_cost
0
f_measure
0.9290197477716965 [0.922489,0.958622,0.881988,0.889976]
kappa
0.8926696708374317
kb_relative_information_score
0.8919747056251562
mean_absolute_error
0.04262812883597339
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9290689149560117 [0.931066,0.955651,0.865854,0.881356]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9291035866942384 [0.914069,0.961612,0.898734,0.898765]
predictive_accuracy
0.9290689149560117
prior_entropy
1.7146330399083418
relative_absolute_error
0.1286932945331918
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.1633531259715894
root_relative_squared_error
0.4014147165634619
total_cost
0
unweighted_recall
0.908481570069255 [0.931066,0.955651,0.865854,0.881356]
area_under_roc_curve
0.9794695785875285 [0.973282,0.986062,0.998671,0.971536]
area_under_roc_curve
0.9796188731530984 [0.973241,0.992737,0.950942,0.974756]
area_under_roc_curve
0.9879396358818877 [0.982885,0.99324,0.980418,0.990918]
area_under_roc_curve
0.9828298594830621 [0.976213,0.987961,0.962756,0.995368]
area_under_roc_curve
0.9862827309440425 [0.979978,0.992616,0.995333,0.983372]
area_under_roc_curve
0.9732328569186995 [0.970754,0.978508,0.953039,0.974485]
area_under_roc_curve
0.9743149681478991 [0.969168,0.982381,0.994518,0.959761]
area_under_roc_curve
0.9850248052404821 [0.975392,0.992253,0.997624,0.987613]
area_under_roc_curve
0.9753610329688807 [0.965784,0.983061,0.984286,0.977954]
area_under_roc_curve
0.9807997968356612 [0.976049,0.990986,0.983221,0.966668]
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
0.9340429278642413 [0.923077,0.945368,0.969697,0.920245]
f_measure
0.9245713177004925 [0.9217,0.95962,0.866667,0.865854]
f_measure
0.917058216510825 [0.90991,0.957346,0.806452,0.878049]
f_measure
0.9262781590819317 [0.929385,0.950119,0.761905,0.923077]
f_measure
0.9307213163074597 [0.922374,0.969121,0.833333,0.89441]
f_measure
0.9307258601210162 [0.923414,0.95098,0.935484,0.89697]
f_measure
0.9285216727850797 [0.924107,0.956731,0.865672,0.893082]
f_measure
0.9341924047329897 [0.922018,0.968825,0.90625,0.890173]
f_measure
0.9318940675528198 [0.922395,0.964029,0.96875,0.860759]
f_measure
0.9319183535703465 [0.926503,0.964029,0.90625,0.875]
kappa
0.9003417260715698
kappa
0.8859283039058321
kappa
0.8750483126182389
kappa
0.8894166016871058
kappa
0.8952570866042355
kappa
0.8944836319437734
kappa
0.8916539655515173
kappa
0.9006803547564087
kappa
0.896837333988172
kappa
0.896983846413209
kb_relative_information_score
0.9006124090010083
kb_relative_information_score
0.875356719556181
kb_relative_information_score
0.8856091594424643
kb_relative_information_score
0.8912443942595871
kb_relative_information_score
0.910845680640686
kb_relative_information_score
0.8726362138724556
kb_relative_information_score
0.892198485596942
kb_relative_information_score
0.9001144175973107
kb_relative_information_score
0.8947360387454312
kb_relative_information_score
0.8964398359797464
mean_absolute_error
0.0404336582221198
mean_absolute_error
0.04719105934765275
mean_absolute_error
0.04488820601457967
mean_absolute_error
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mean_absolute_error
0.0355757680963725
mean_absolute_error
0.05081534892661268
mean_absolute_error
0.0419725254358282
mean_absolute_error
0.04098259411332807
mean_absolute_error
0.04150131214351396
mean_absolute_error
0.03961777391823265
mean_prior_absolute_error
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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
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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
0.9340344285052026 [0.923077,0.943128,0.969697,0.925926]
precision
0.9253899444731135 [0.911504,0.957346,0.962963,0.865854]
precision
0.9170572351746252 [0.901786,0.95283,0.862069,0.888889]
precision
0.9261221782384226 [0.931507,0.947867,0.8,0.906977]
precision
0.9320263486531585 [0.926606,0.966825,0.769231,0.923077]
precision
0.9331959591298893 [0.890295,0.979798,1,0.902439]
precision
0.9296416131626831 [0.907895,0.966019,0.828571,0.934211]
precision
0.9350303986841217 [0.934884,0.971154,0.90625,0.855556]
precision
0.9324690582966884 [0.904348,0.966346,1,0.894737]
precision
0.9321854909600816 [0.912281,0.966346,0.935484,0.897436]
predictive_accuracy
0.934065934065934
predictive_accuracy
0.924908424908425
predictive_accuracy
0.9175824175824175
predictive_accuracy
0.9267399267399267
predictive_accuracy
0.9304029304029303
predictive_accuracy
0.9304029304029303
predictive_accuracy
0.928440366972477
predictive_accuracy
0.9339449541284404
predictive_accuracy
0.9321100917431192
predictive_accuracy
0.9321100917431192
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
0.12210316290755616
relative_absolute_error
0.14250943052573745
relative_absolute_error
0.13546057090117578
relative_absolute_error
0.13064138690732388
relative_absolute_error
0.10735812999559859
relative_absolute_error
0.1533470991000543
relative_absolute_error
0.1267590370184921
relative_absolute_error
0.12377618053991803
relative_absolute_error
0.1253111504600454
relative_absolute_error
0.11962390035264463
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.4067990554858411
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.4068795919478491
root_mean_squared_error
0.15726703011115203
root_mean_squared_error
0.17113490374576662
root_mean_squared_error
0.16496827376222262
root_mean_squared_error
0.16315946633901934
root_mean_squared_error
0.15131418025640728
root_mean_squared_error
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root_mean_squared_error
0.1671750407334941
root_mean_squared_error
0.15461074855691223
root_mean_squared_error
0.1691786197870586
root_mean_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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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
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unweighted_recall
0.8869409762881785 [0.932127,0.961905,0.787879,0.865854]
unweighted_recall
0.8762830542951026 [0.918182,0.961905,0.757576,0.86747]
unweighted_recall
0.8866713607677463 [0.927273,0.952381,0.727273,0.939759]
unweighted_recall
0.9165427945548428 [0.918182,0.971429,0.909091,0.86747]
unweighted_recall
0.9133136441871382 [0.959091,0.92381,0.878788,0.891566]
unweighted_recall
0.9125499563187816 [0.940909,0.947619,0.90625,0.855422]
unweighted_recall
0.9274925707126065 [0.909502,0.966507,0.90625,0.927711]
unweighted_recall
0.9178902976758447 [0.941176,0.961722,0.939394,0.829268]
unweighted_recall
0.9088363434999394 [0.941176,0.961722,0.878788,0.853659]
usercpu_time_millis
59.60934499995574
usercpu_time_millis
59.476501999995435
usercpu_time_millis
53.34808399999247
usercpu_time_millis
54.16670099998555
usercpu_time_millis
56.10382100002198
usercpu_time_millis
56.25247300002911
usercpu_time_millis
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usercpu_time_millis
54.76518400001851
usercpu_time_millis
55.34601100004011
usercpu_time_millis
50.19912799997428
usercpu_time_millis_testing
5.930060999958187
usercpu_time_millis_testing
5.776233999995384
usercpu_time_millis_testing
5.506754999998975
usercpu_time_millis_testing
6.503641999984211
usercpu_time_millis_testing
5.95442799999546
usercpu_time_millis_testing
5.719903999988674
usercpu_time_millis_testing
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usercpu_time_millis_testing
6.469271000014487
usercpu_time_millis_testing
6.132162000028529
usercpu_time_millis_testing
3.8247879999744328
usercpu_time_millis_training
53.67928399999755
usercpu_time_millis_training
53.70026800000005
usercpu_time_millis_training
47.84132899999349
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
48.29591300000402
usercpu_time_millis_training
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usercpu_time_millis_training
46.37433999999985
wall_clock_time_millis
59.62014198303223
wall_clock_time_millis
59.61418151855469
wall_clock_time_millis
53.50518226623535
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
58.30049514770508
wall_clock_time_millis
55.51481246948242
wall_clock_time_millis
51.58400535583496
wall_clock_time_millis_testing
5.934715270996094
wall_clock_time_millis_testing
5.783557891845703
wall_clock_time_millis_testing
5.581140518188477
wall_clock_time_millis_testing
7.169961929321289
wall_clock_time_millis_testing
5.960226058959961
wall_clock_time_millis_testing
5.726099014282227
wall_clock_time_millis_testing
6.580591201782227
wall_clock_time_millis_testing
8.634328842163086
wall_clock_time_millis_testing
6.139516830444336
wall_clock_time_millis_testing
3.831148147583008
wall_clock_time_millis_training
53.68542671203613
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
49.78775978088379
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
49.66616630554199
wall_clock_time_millis_training
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wall_clock_time_millis_training
47.75285720825195
weighted_recall
0.9340659340659341 [0.923077,0.947619,0.969697,0.914634]
weighted_recall
0.924908424908425 [0.932127,0.961905,0.787879,0.865854]
weighted_recall
0.9175824175824175 [0.918182,0.961905,0.757576,0.86747]
weighted_recall
0.9267399267399268 [0.927273,0.952381,0.727273,0.939759]
weighted_recall
0.9304029304029304 [0.918182,0.971429,0.909091,0.86747]
weighted_recall
0.9304029304029304 [0.959091,0.92381,0.878788,0.891566]
weighted_recall
0.9284403669724771 [0.940909,0.947619,0.90625,0.855422]
weighted_recall
0.9339449541284404 [0.909502,0.966507,0.90625,0.927711]
weighted_recall
0.9321100917431193 [0.941176,0.961722,0.939394,0.829268]
weighted_recall
0.9321100917431193 [0.941176,0.961722,0.878788,0.853659]