10571828
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)
8288110
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
"mean"
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
0.808185767609645
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
3
19034
min_samples_split
10
19034
min_weight_fraction_leaf
0.0
19034
random_state
49376
19034
splitter
"random"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22069923
description
https://api.openml.org/data/download/22069923/description.xml
-1
22069924
predictions
https://api.openml.org/data/download/22069924/predictions.arff
area_under_roc_curve
0.9784563894322063 [0.974923,0.985731,0.970147,0.97272]
average_cost
0
f_measure
0.9361728569641482 [0.933273,0.959179,0.883792,0.906307]
kappa
0.9035618740554915
kb_relative_information_score
0.905240614627716
mean_absolute_error
0.03613147605083087
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9362170087976539 [0.938776,0.958035,0.881098,0.895884]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9361938183097429 [0.927835,0.960325,0.886503,0.916976]
predictive_accuracy
0.936217008797654
prior_entropy
1.7146330399083418
relative_absolute_error
0.10908005620468529
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.1580906791981288
root_relative_squared_error
0.3884830780200625
total_cost
0
unweighted_recall
0.9184480342316981 [0.938776,0.958035,0.881098,0.895884]
area_under_roc_curve
0.9743054335113062 [0.967282,0.977927,0.982161,0.980801]
area_under_roc_curve
0.9858583621314472 [0.987045,0.988187,0.968279,0.983771]
area_under_roc_curve
0.9770345573529291 [0.974289,0.984219,0.952005,0.976086]
area_under_roc_curve
0.9745780297984159 [0.973933,0.980215,0.968073,0.96461]
area_under_roc_curve
0.9760917671148939 [0.968523,0.994225,0.981954,0.947943]
area_under_roc_curve
0.9806177386197731 [0.977984,0.99606,0.951001,0.960303]
area_under_roc_curve
0.9805139637234882 [0.978769,0.980412,0.980446,0.985422]
area_under_roc_curve
0.9782238054670858 [0.972048,0.982015,0.983096,0.983245]
area_under_roc_curve
0.9781683837275871 [0.973758,0.989355,0.938299,0.977585]
area_under_roc_curve
0.9790897218338304 [0.975274,0.984578,0.997514,0.967971]
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
0.9286656493747962 [0.920635,0.94964,0.878788,0.916667]
f_measure
0.9522241376050805 [0.955157,0.964371,0.920635,0.925926]
f_measure
0.9394565058085586 [0.932432,0.966667,0.892308,0.907975]
f_measure
0.9319765594821153 [0.926829,0.954654,0.870968,0.9125]
f_measure
0.922646898998353 [0.915718,0.964706,0.861538,0.858896]
f_measure
0.9415627898060006 [0.936937,0.964029,0.835821,0.939024]
f_measure
0.94163144527872 [0.943567,0.959427,0.857143,0.924051]
f_measure
0.9485943397466046 [0.945205,0.95962,0.9375,0.934132]
f_measure
0.9353248321889486 [0.937778,0.966507,0.888889,0.867925]
f_measure
0.9196444941967814 [0.918182,0.941748,0.898551,0.87574]
kappa
0.8923920458852365
kappa
0.9277671207086922
kappa
0.9085566382460414
kappa
0.8969590631343787
kappa
0.8836470647927344
kappa
0.9115435827076614
kappa
0.9113073018908225
kappa
0.9224451627330202
kappa
0.9023952187728663
kappa
0.8788136064322787
kb_relative_information_score
0.8993707274945035
kb_relative_information_score
0.9254418654304679
kb_relative_information_score
0.8980500453519419
kb_relative_information_score
0.8951018607767594
kb_relative_information_score
0.8975474305405469
kb_relative_information_score
0.9097098910567857
kb_relative_information_score
0.9106476455739899
kb_relative_information_score
0.9210824168357528
kb_relative_information_score
0.9032046472798438
kb_relative_information_score
0.8923197629477899
mean_absolute_error
0.03903497296354439
mean_absolute_error
0.028140080818652248
mean_absolute_error
0.03854003139717425
mean_absolute_error
0.03928607767893482
mean_absolute_error
0.037723123437409155
mean_absolute_error
0.033206145706145704
mean_absolute_error
0.03469018494247853
mean_absolute_error
0.031408184068734524
mean_absolute_error
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mean_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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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
0.9289576870719439 [0.922727,0.956522,0.878788,0.895349]
precision
0.9524290256873196 [0.946667,0.962085,0.966667,0.9375]
precision
0.9395326399790686 [0.924107,0.966667,0.90625,0.925]
precision
0.9329981803406745 [0.904762,0.956938,0.931034,0.948052]
precision
0.9224365684225513 [0.917808,0.953488,0.875,0.875]
precision
0.9418982837364683 [0.928571,0.971014,0.823529,0.950617]
precision
0.9434860327644342 [0.93722,0.961722,0.789474,0.973333]
precision
0.9486763416663408 [0.953917,0.95283,0.9375,0.928571]
precision
0.9356134686994829 [0.921397,0.966507,0.933333,0.896104]
precision
0.9206284992838147 [0.922374,0.955665,0.861111,0.850575]
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.9523809523809524
predictive_accuracy
0.9395604395604396
predictive_accuracy
0.9322344322344323
predictive_accuracy
0.923076923076923
predictive_accuracy
0.9413919413919415
predictive_accuracy
0.9412844036697249
predictive_accuracy
0.9486238532110092
predictive_accuracy
0.9357798165137615
predictive_accuracy
0.9192660550458716
prior_entropy
1.7138246699606299
prior_entropy
1.7138246699606299
prior_entropy
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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
0.11787935775378948
relative_absolute_error
0.08497853084567014
relative_absolute_error
0.11630348189711114
relative_absolute_error
0.11855484955509157
relative_absolute_error
0.11383827269343855
relative_absolute_error
0.10020724493469699
relative_absolute_error
0.10476601995333824
relative_absolute_error
0.09485941887847378
relative_absolute_error
0.10873780644650675
relative_absolute_error
0.13066696566567954
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
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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
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root_mean_squared_error
0.16646376455046952
root_mean_squared_error
0.13628480659786948
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
0.15002470300022522
root_mean_squared_error
0.15746135394525973
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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total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
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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
0.9194824753559694 [0.940909,0.966667,0.878788,0.891566]
unweighted_recall
0.9000202107129818 [0.95,0.952381,0.818182,0.879518]
unweighted_recall
0.8954212955718981 [0.913636,0.97619,0.848485,0.843373]
unweighted_recall
0.9196982736139363 [0.945455,0.957143,0.848485,0.927711]
unweighted_recall
0.9310402323580034 [0.95,0.957143,0.9375,0.879518]
unweighted_recall
0.9451044492221197 [0.936652,0.966507,0.9375,0.939759]
unweighted_recall
0.9028016428435518 [0.954751,0.966507,0.848485,0.841463]
unweighted_recall
0.9210224445443052 [0.914027,0.92823,0.939394,0.902439]
usercpu_time_millis
37.0976059999748
usercpu_time_millis
38.405497999974614
usercpu_time_millis
38.07829400005858
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
39.514913999994405
usercpu_time_millis
39.40580199997612
usercpu_time_millis
38.111688000014965
usercpu_time_millis
36.91568000004963
usercpu_time_millis
38.71634600005791
usercpu_time_millis_testing
5.543009999996684
usercpu_time_millis_testing
6.103467000002638
usercpu_time_millis_testing
5.869132000043464
usercpu_time_millis_testing
6.028951000018878
usercpu_time_millis_testing
6.1799919999998565
usercpu_time_millis_testing
6.15521899999294
usercpu_time_millis_testing
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usercpu_time_millis_testing
5.965855999988889
usercpu_time_millis_testing
5.763257000012345
usercpu_time_millis_testing
6.150430000047891
usercpu_time_millis_training
31.55459599997812
usercpu_time_millis_training
32.302030999971976
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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usercpu_time_millis_training
31.152423000037288
usercpu_time_millis_training
32.56591600001002
wall_clock_time_millis
37.17780113220215
wall_clock_time_millis
38.93423080444336
wall_clock_time_millis
38.27476501464844
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
39.650678634643555
wall_clock_time_millis
39.48068618774414
wall_clock_time_millis
38.147926330566406
wall_clock_time_millis
36.92483901977539
wall_clock_time_millis
38.83957862854004
wall_clock_time_millis_testing
5.550622940063477
wall_clock_time_millis_testing
6.133556365966797
wall_clock_time_millis_testing
6.062507629394531
wall_clock_time_millis_testing
6.110906600952148
wall_clock_time_millis_testing
6.186723709106445
wall_clock_time_millis_testing
6.171703338623047
wall_clock_time_millis_testing
6.043910980224609
wall_clock_time_millis_testing
5.990028381347656
wall_clock_time_millis_testing
5.769252777099609
wall_clock_time_millis_testing
6.243228912353516
wall_clock_time_millis_training
31.627178192138672
wall_clock_time_millis_training
32.80067443847656
wall_clock_time_millis_training
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wall_clock_time_millis_training
31.262636184692383
wall_clock_time_millis_training
31.993627548217773
wall_clock_time_millis_training
33.47897529602051
wall_clock_time_millis_training
33.43677520751953
wall_clock_time_millis_training
32.15789794921875
wall_clock_time_millis_training
31.15558624267578
wall_clock_time_millis_training
32.59634971618652
weighted_recall
0.9285714285714286 [0.918552,0.942857,0.878788,0.939024]
weighted_recall
0.9523809523809523 [0.963801,0.966667,0.878788,0.914634]
weighted_recall
0.9395604395604396 [0.940909,0.966667,0.878788,0.891566]
weighted_recall
0.9322344322344323 [0.95,0.952381,0.818182,0.879518]
weighted_recall
0.9230769230769231 [0.913636,0.97619,0.848485,0.843373]
weighted_recall
0.9413919413919414 [0.945455,0.957143,0.848485,0.927711]
weighted_recall
0.9412844036697248 [0.95,0.957143,0.9375,0.879518]
weighted_recall
0.9486238532110092 [0.936652,0.966507,0.9375,0.939759]
weighted_recall
0.9357798165137615 [0.954751,0.966507,0.848485,0.841463]
weighted_recall
0.9192660550458716 [0.914027,0.92823,0.939394,0.902439]