10571901
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)
8288183
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
"entropy"
19034
max_depth
null
19034
max_features
0.7585743296802278
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
18
19034
min_samples_split
15
19034
min_weight_fraction_leaf
0.0
19034
random_state
23358
19034
splitter
"random"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22070069
description
https://api.openml.org/data/download/22070069/description.xml
-1
22070070
predictions
https://api.openml.org/data/download/22070070/predictions.arff
area_under_roc_curve
0.9807621851043993 [0.971792,0.990927,0.985955,0.976841]
average_cost
0
f_measure
0.902634457250828 [0.892744,0.947919,0.850794,0.834655]
kappa
0.8528639322618857
kb_relative_information_score
0.835748006364992
mean_absolute_error
0.06671539490312844
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9028592375366569 [0.898413,0.950405,0.817073,0.828087]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9026338135153269 [0.887147,0.945446,0.887417,0.841328]
predictive_accuracy
0.9028592375366569
prior_entropy
1.7146330399083418
relative_absolute_error
0.20141217080401227
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.18807780554230857
root_relative_squared_error
0.46217174329907995
total_cost
0
unweighted_recall
0.8734945942944761 [0.898413,0.950405,0.817073,0.828087]
area_under_roc_curve
0.9797221275614083 [0.971772,0.989094,0.982368,0.976083]
area_under_roc_curve
0.9817839057952356 [0.972537,0.994225,0.960777,0.983297]
area_under_roc_curve
0.9776717125545301 [0.966753,0.993615,0.971026,0.968917]
area_under_roc_curve
0.9831059610370253 [0.976659,0.989824,0.977819,0.985298]
area_under_roc_curve
0.9650961670090697 [0.953855,0.976715,0.994123,0.953954]
area_under_roc_curve
0.986958683911429 [0.983812,0.988995,0.999646,0.985102]
area_under_roc_curve
0.9838292440375506 [0.972196,0.995679,0.998081,0.979189]
area_under_roc_curve
0.9818245935127876 [0.973898,0.993855,0.998173,0.966333]
area_under_roc_curve
0.9806127338053999 [0.970679,0.990167,0.9789,0.983722]
area_under_roc_curve
0.9828962919259601 [0.971161,0.992951,0.993726,0.984539]
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
0.9099410910021496 [0.896714,0.953488,0.911765,0.833333]
f_measure
0.9043613401378218 [0.897321,0.942584,0.821429,0.858824]
f_measure
0.8882820423615355 [0.877273,0.954869,0.735294,0.809816]
f_measure
0.9195083796400079 [0.922374,0.953917,0.785714,0.878049]
f_measure
0.8842554646303927 [0.883621,0.902439,0.878788,0.842105]
f_measure
0.914218483656152 [0.905405,0.936893,0.955224,0.863905]
f_measure
0.9001215698905919 [0.87907,0.969555,0.911765,0.775758]
f_measure
0.9055257289981196 [0.891892,0.962264,0.857143,0.81761]
f_measure
0.8913696925423884 [0.880899,0.949881,0.8,0.807229]
f_measure
0.9063340883239172 [0.893246,0.95122,0.827586,0.858896]
kappa
0.8651539283482186
kappa
0.855359817416732
kappa
0.8314567508893735
kappa
0.8799901857550323
kappa
0.8241590839382475
kappa
0.8704959728698599
kappa
0.8508340218046904
kappa
0.8578311774002978
kappa
0.8358199048260933
kappa
0.8574257121020155
kb_relative_information_score
0.8395665239978795
kb_relative_information_score
0.8383931047193949
kb_relative_information_score
0.8134733393631454
kb_relative_information_score
0.852463552482677
kb_relative_information_score
0.800723713289868
kb_relative_information_score
0.8620707581207633
kb_relative_information_score
0.8428399723601849
kb_relative_information_score
0.8549565510144737
kb_relative_information_score
0.8273525214328934
kb_relative_information_score
0.8257100265110008
mean_absolute_error
0.06637850592324718
mean_absolute_error
0.0631065739481346
mean_absolute_error
0.0721604306387188
mean_absolute_error
0.05871843084246892
mean_absolute_error
0.08055817799935015
mean_absolute_error
0.05728234635883569
mean_absolute_error
0.06532282150942652
mean_absolute_error
0.05990154441147304
mean_absolute_error
0.07132274348534055
mean_absolute_error
0.07240620493026943
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
0.9112855178206446 [0.931707,0.931818,0.885714,0.813953]
precision
0.9076999683361933 [0.885463,0.947115,1,0.829545]
precision
0.888450223326662 [0.877273,0.952607,0.714286,0.825]
precision
0.9217192420847188 [0.926606,0.924107,0.956522,0.888889]
precision
0.8884094740295738 [0.840164,0.925,0.878788,0.927536]
precision
0.9149571255378292 [0.897321,0.955446,0.941176,0.848837]
precision
0.900291053221275 [0.9,0.953917,0.861111,0.780488]
precision
0.9053009208037089 [0.887892,0.948837,0.870968,0.855263]
precision
0.8920467453036262 [0.875,0.947619,0.888889,0.797619]
precision
0.9094725402162528 [0.861345,0.970149,0.96,0.864198]
predictive_accuracy
0.9102564102564102
predictive_accuracy
0.9047619047619048
predictive_accuracy
0.8882783882783883
predictive_accuracy
0.9212454212454213
predictive_accuracy
0.8846153846153847
predictive_accuracy
0.9139194139194139
predictive_accuracy
0.9009174311926605
predictive_accuracy
0.9064220183486239
predictive_accuracy
0.891743119266055
predictive_accuracy
0.9064220183486239
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
0.20045244181918875
relative_absolute_error
0.1905717320208096
relative_absolute_error
0.2177608329372901
relative_absolute_error
0.17719648144901537
relative_absolute_error
0.24310298297521954
relative_absolute_error
0.1728627635019873
relative_absolute_error
0.19727804948323724
relative_absolute_error
0.18091544803610052
relative_absolute_error
0.21535548103173738
relative_absolute_error
0.21862693904428507
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
0.18641702947741404
root_mean_squared_error
0.18459378133884122
root_mean_squared_error
0.20083269234283865
root_mean_squared_error
0.17427670077613344
root_mean_squared_error
0.21415166124582913
root_mean_squared_error
0.1730692159769596
root_mean_squared_error
0.18420721701889586
root_mean_squared_error
0.178695951870063
root_mean_squared_error
0.1914093261928073
root_mean_squared_error
0.18941657185220168
root_relative_squared_error
0.45822173219658807
root_relative_squared_error
0.4537401034386196
root_relative_squared_error
0.49331153912036707
root_relative_squared_error
0.42808123762007455
root_relative_squared_error
0.5260273334085515
root_relative_squared_error
0.4251152554495621
root_relative_squared_error
0.45282115219981706
root_relative_squared_error
0.4392973584529014
root_relative_squared_error
0.4704323588127781
root_relative_squared_error
0.465534707566458
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
0.908374086458735 [0.864253,0.97619,0.939394,0.853659]
unweighted_recall
0.8587027749868495 [0.909502,0.938095,0.69697,0.890244]
unweighted_recall
0.8467930162207271 [0.877273,0.957143,0.757576,0.795181]
unweighted_recall
0.8595081625202108 [0.918182,0.985714,0.666667,0.86747]
unweighted_recall
0.8656606947269598 [0.931818,0.880952,0.878788,0.771084]
unweighted_recall
0.9204747561675272 [0.913636,0.919048,0.969697,0.879518]
unweighted_recall
0.8961598830386481 [0.859091,0.985714,0.96875,0.771084]
unweighted_recall
0.8747216717385901 [0.895928,0.976077,0.84375,0.783133]
unweighted_recall
0.845844209026645 [0.886878,0.952153,0.727273,0.817073]
unweighted_recall
0.8603868569699575 [0.927602,0.933014,0.727273,0.853659]
usercpu_time_millis
52.40984499999968
usercpu_time_millis
52.43398900000784
usercpu_time_millis
52.223694999952386
usercpu_time_millis
52.76098000001639
usercpu_time_millis
55.11036600000807
usercpu_time_millis
55.32666599992808
usercpu_time_millis
54.434299000035935
usercpu_time_millis
54.58315499998889
usercpu_time_millis
51.99411400002418
usercpu_time_millis
50.34743100003425
usercpu_time_millis_testing
5.460791000018617
usercpu_time_millis_testing
6.074691999970128
usercpu_time_millis_testing
5.506127999979071
usercpu_time_millis_testing
6.0526880000111305
usercpu_time_millis_testing
6.044696999992993
usercpu_time_millis_testing
6.117783999968651
usercpu_time_millis_testing
6.190716000048724
usercpu_time_millis_testing
5.894968000006884
usercpu_time_millis_testing
5.760242999997445
usercpu_time_millis_testing
4.840701000034642
usercpu_time_millis_training
46.94905399998106
usercpu_time_millis_training
46.359297000037714
usercpu_time_millis_training
46.717566999973315
usercpu_time_millis_training
46.70829200000526
usercpu_time_millis_training
49.06566900001508
usercpu_time_millis_training
49.20888199995943
usercpu_time_millis_training
48.24358299998721
usercpu_time_millis_training
48.68818699998201
usercpu_time_millis_training
46.23387100002674
usercpu_time_millis_training
45.50672999999961
wall_clock_time_millis
57.672977447509766
wall_clock_time_millis
59.19384956359863
wall_clock_time_millis
52.33597755432129
wall_clock_time_millis
52.8874397277832
wall_clock_time_millis
60.65201759338379
wall_clock_time_millis
55.88555335998535
wall_clock_time_millis
54.57878112792969
wall_clock_time_millis
54.69465255737305
wall_clock_time_millis
53.50208282470703
wall_clock_time_millis
53.666114807128906
wall_clock_time_millis_testing
5.716800689697266
wall_clock_time_millis_testing
6.184816360473633
wall_clock_time_millis_testing
5.614757537841797
wall_clock_time_millis_testing
6.059169769287109
wall_clock_time_millis_testing
6.051778793334961
wall_clock_time_millis_testing
6.125688552856445
wall_clock_time_millis_testing
6.197214126586914
wall_clock_time_millis_testing
5.91278076171875
wall_clock_time_millis_testing
7.23719596862793
wall_clock_time_millis_testing
6.004571914672852
wall_clock_time_millis_training
51.9561767578125
wall_clock_time_millis_training
53.009033203125
wall_clock_time_millis_training
46.72122001647949
wall_clock_time_millis_training
46.828269958496094
wall_clock_time_millis_training
54.60023880004883
wall_clock_time_millis_training
49.759864807128906
wall_clock_time_millis_training
48.38156700134277
wall_clock_time_millis_training
48.7818717956543
wall_clock_time_millis_training
46.2648868560791
wall_clock_time_millis_training
47.661542892456055
weighted_recall
0.9102564102564102 [0.864253,0.97619,0.939394,0.853659]
weighted_recall
0.9047619047619048 [0.909502,0.938095,0.69697,0.890244]
weighted_recall
0.8882783882783882 [0.877273,0.957143,0.757576,0.795181]
weighted_recall
0.9212454212454212 [0.918182,0.985714,0.666667,0.86747]
weighted_recall
0.8846153846153846 [0.931818,0.880952,0.878788,0.771084]
weighted_recall
0.9139194139194139 [0.913636,0.919048,0.969697,0.879518]
weighted_recall
0.9009174311926605 [0.859091,0.985714,0.96875,0.771084]
weighted_recall
0.9064220183486239 [0.895928,0.976077,0.84375,0.783133]
weighted_recall
0.8917431192660551 [0.886878,0.952153,0.727273,0.817073]
weighted_recall
0.9064220183486239 [0.927602,0.933014,0.727273,0.853659]