10571812
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)
8288094
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
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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
"entropy"
19034
max_depth
null
19034
max_features
0.7524485512118484
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
13
19034
min_samples_split
9
19034
min_weight_fraction_leaf
0.0
19034
random_state
29042
19034
splitter
"random"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22069891
description
https://api.openml.org/data/download/22069891/description.xml
-1
22069892
predictions
https://api.openml.org/data/download/22069892/predictions.arff
area_under_roc_curve
0.9816531402600649 [0.974632,0.99084,0.98495,0.975765]
average_cost
0
f_measure
0.9133260085487614 [0.906757,0.947318,0.86385,0.864212]
kappa
0.8689452867515038
kb_relative_information_score
0.8580771782080049
mean_absolute_error
0.0569576446585408
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9133064516129032 [0.912925,0.943252,0.841463,0.866828]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9134685045898826 [0.900671,0.951419,0.88746,0.861613]
predictive_accuracy
0.9133064516129032
prior_entropy
1.7146330399083418
relative_absolute_error
0.17195375776786878
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.1787350986766132
root_relative_squared_error
0.43921350478284327
total_cost
0
unweighted_recall
0.8911172342524802 [0.912925,0.943252,0.841463,0.866828]
area_under_roc_curve
0.981764583412154 [0.977612,0.988776,0.981688,0.975032]
area_under_roc_curve
0.9844606254132846 [0.975252,0.991858,0.982515,0.991116]
area_under_roc_curve
0.9758959480740276 [0.965937,0.991582,0.978351,0.961631]
area_under_roc_curve
0.9740711522827893 [0.96639,0.984708,0.949347,0.977348]
area_under_roc_curve
0.9857742793568055 [0.978318,0.992113,0.996308,0.985311]
area_under_roc_curve
0.9855424330497281 [0.981156,0.993672,0.996131,0.972391]
area_under_roc_curve
0.9859380812571065 [0.97893,0.989744,0.996985,0.990625]
area_under_roc_curve
0.9790759777923789 [0.970616,0.990345,0.993604,0.967624]
area_under_roc_curve
0.9851190531477664 [0.978318,0.995614,0.994141,0.973068]
area_under_roc_curve
0.9775439769714118 [0.972124,0.989056,0.980617,0.961571]
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
0.9191017820835239 [0.925508,0.943662,0.9,0.846626]
f_measure
0.9268790286775898 [0.914414,0.959233,0.878788,0.89697]
f_measure
0.9101543512704938 [0.895323,0.964029,0.830769,0.84472]
f_measure
0.889210001571313 [0.886364,0.925581,0.761905,0.855346]
f_measure
0.9230885318670689 [0.914027,0.940334,0.911765,0.907975]
f_measure
0.9123314561969313 [0.911565,0.942308,0.848485,0.863905]
f_measure
0.9157568846968914 [0.909492,0.929095,0.857143,0.921212]
f_measure
0.9106520896721891 [0.904977,0.937198,0.915254,0.857143]
f_measure
0.9286922253916514 [0.915929,0.973236,0.875,0.871166]
f_measure
0.8982751252244919 [0.889401,0.959233,0.861538,0.781609]
kappa
0.8775291724654746
kappa
0.8893998014868233
kappa
0.8640106538711777
kappa
0.8330428401064122
kappa
0.8839420823822948
kappa
0.867642379891823
kappa
0.8722072414197383
kappa
0.8643307474636632
kappa
0.8916064480266818
kappa
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kb_relative_information_score
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kb_relative_information_score
0.8680594480557754
kb_relative_information_score
0.8423242246769813
kb_relative_information_score
0.8360708089864712
kb_relative_information_score
0.8713215863061246
kb_relative_information_score
0.8701806331806432
kb_relative_information_score
0.8738790052921885
kb_relative_information_score
0.8459570367710998
kb_relative_information_score
0.8785237787804341
kb_relative_information_score
0.8340727446075837
mean_absolute_error
0.056959630053829556
mean_absolute_error
0.05566351078922379
mean_absolute_error
0.06105027438629311
mean_absolute_error
0.06470422625913008
mean_absolute_error
0.05180618048005272
mean_absolute_error
0.0510562921058354
mean_absolute_error
0.05293643188957286
mean_absolute_error
0.06191556578216659
mean_absolute_error
0.04782144332492152
mean_absolute_error
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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
0.9200459617126283 [0.923423,0.930556,1,0.851852]
precision
0.9270812392983275 [0.910314,0.966184,0.878788,0.891566]
precision
0.910652389227945 [0.877729,0.971014,0.84375,0.871795]
precision
0.8894097130939237 [0.886364,0.904545,0.8,0.894737]
precision
0.9233083064849981 [0.90991,0.942584,0.885714,0.925]
precision
0.9127285922204542 [0.909502,0.951456,0.848485,0.848837]
precision
0.9170766006262066 [0.88412,0.954774,0.870968,0.926829]
precision
0.912749374920953 [0.904977,0.946341,1,0.815217]
precision
0.9296378879468766 [0.896104,0.990099,0.903226,0.876543]
precision
0.9003560741372333 [0.906103,0.961538,0.875,0.73913]
predictive_accuracy
0.9194139194139194
predictive_accuracy
0.9267399267399267
predictive_accuracy
0.9102564102564102
predictive_accuracy
0.8901098901098901
predictive_accuracy
0.923076923076923
predictive_accuracy
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predictive_accuracy
0.9155963302752294
predictive_accuracy
0.910091743119266
predictive_accuracy
0.928440366972477
predictive_accuracy
0.8972477064220183
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
0.1720089473331918
relative_absolute_error
0.16809487503124015
relative_absolute_error
0.1842333600802543
relative_absolute_error
0.19526000718170342
relative_absolute_error
0.15633716307927176
relative_absolute_error
0.1540742010163495
relative_absolute_error
0.1598705596063414
relative_absolute_error
0.18699822239881822
relative_absolute_error
0.14439447261289357
relative_absolute_error
0.19826864117177628
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
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root_mean_prior_squared_error
0.40711128043132166
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
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root_mean_prior_squared_error
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root_mean_squared_error
0.17706401165151706
root_mean_squared_error
0.17203757760503313
root_mean_squared_error
0.1903708561198
root_mean_squared_error
0.1936340941055816
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.16680546640192365
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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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
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unweighted_recall
0.8770595368486935 [0.913636,0.957143,0.818182,0.819277]
unweighted_recall
0.8451331299222865 [0.886364,0.947619,0.727273,0.819277]
unweighted_recall
0.9218093151828092 [0.918182,0.938095,0.939394,0.891566]
unweighted_recall
0.8937431544359256 [0.913636,0.933333,0.848485,0.879518]
unweighted_recall
0.9001345479319877 [0.936364,0.904762,0.84375,0.915663]
unweighted_recall
0.8951428746171767 [0.904977,0.92823,0.84375,0.903614]
unweighted_recall
0.9019819724437258 [0.936652,0.956938,0.848485,0.865854]
unweighted_recall
0.876998526907913 [0.873303,0.956938,0.848485,0.829268]
usercpu_time_millis
53.12818900000593
usercpu_time_millis
53.44363200003954
usercpu_time_millis
55.29280599995445
usercpu_time_millis
55.887313000027916
usercpu_time_millis
52.96529599996802
usercpu_time_millis
53.40187999996715
usercpu_time_millis
53.10107899998684
usercpu_time_millis
53.478329000029134
usercpu_time_millis
53.28152199996339
usercpu_time_millis
49.760256000013214
usercpu_time_millis_testing
5.648613000005298
usercpu_time_millis_testing
6.022036000047137
usercpu_time_millis_testing
5.998504999979559
usercpu_time_millis_testing
6.067013000006227
usercpu_time_millis_testing
5.483537999964483
usercpu_time_millis_testing
5.531789999963621
usercpu_time_millis_testing
6.228879999980563
usercpu_time_millis_testing
6.434475000048678
usercpu_time_millis_testing
5.3624969999646055
usercpu_time_millis_testing
3.7722800000210555
usercpu_time_millis_training
47.479576000000634
usercpu_time_millis_training
47.421595999992405
usercpu_time_millis_training
49.294300999974894
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
47.043853999980456
usercpu_time_millis_training
47.91902499999878
usercpu_time_millis_training
45.98797599999216
wall_clock_time_millis
53.16305160522461
wall_clock_time_millis
53.79796028137207
wall_clock_time_millis
55.30285835266113
wall_clock_time_millis
55.93276023864746
wall_clock_time_millis
53.12919616699219
wall_clock_time_millis
53.649187088012695
wall_clock_time_millis
53.331851959228516
wall_clock_time_millis
57.02805519104004
wall_clock_time_millis
53.442955017089844
wall_clock_time_millis
51.1014461517334
wall_clock_time_millis_testing
5.6781768798828125
wall_clock_time_millis_testing
6.03795051574707
wall_clock_time_millis_testing
6.005287170410156
wall_clock_time_millis_testing
6.074428558349609
wall_clock_time_millis_testing
5.491018295288086
wall_clock_time_millis_testing
5.538225173950195
wall_clock_time_millis_testing
6.38890266418457
wall_clock_time_millis_testing
9.87553596496582
wall_clock_time_millis_testing
5.368947982788086
wall_clock_time_millis_testing
3.777742385864258
wall_clock_time_millis_training
47.4848747253418
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
49.85833168029785
wall_clock_time_millis_training
47.6381778717041
wall_clock_time_millis_training
48.1109619140625
wall_clock_time_millis_training
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wall_clock_time_millis_training
47.15251922607422
wall_clock_time_millis_training
48.07400703430176
wall_clock_time_millis_training
47.32370376586914
weighted_recall
0.9194139194139194 [0.927602,0.957143,0.818182,0.841463]
weighted_recall
0.9267399267399268 [0.918552,0.952381,0.878788,0.902439]
weighted_recall
0.9102564102564102 [0.913636,0.957143,0.818182,0.819277]
weighted_recall
0.8901098901098901 [0.886364,0.947619,0.727273,0.819277]
weighted_recall
0.9230769230769231 [0.918182,0.938095,0.939394,0.891566]
weighted_recall
0.9120879120879121 [0.913636,0.933333,0.848485,0.879518]
weighted_recall
0.9155963302752294 [0.936364,0.904762,0.84375,0.915663]
weighted_recall
0.9100917431192661 [0.904977,0.92823,0.84375,0.903614]
weighted_recall
0.9284403669724771 [0.936652,0.956938,0.848485,0.865854]
weighted_recall
0.8972477064220183 [0.873303,0.956938,0.848485,0.829268]