10571877
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)
8288159
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
"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
0.2832615257779099
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
8
19034
min_samples_split
14
19034
min_weight_fraction_leaf
0.0
19034
random_state
36798
19034
splitter
"random"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22070021
description
https://api.openml.org/data/download/22070021/description.xml
-1
22070023
predictions
https://api.openml.org/data/download/22070023/predictions.arff
area_under_roc_curve
0.9656176885932128 [0.962212,0.962142,0.979976,0.977832]
average_cost
0
f_measure
0.864569250388779 [0.874858,0.87133,0.820593,0.837403]
kappa
0.7956127535714683
kb_relative_information_score
0.7882012379444991
mean_absolute_error
0.08668067753998726
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.8645527859237536 [0.873469,0.870291,0.801829,0.85109]
number_of_instances
5456 [2205,2097,328,826]
precision
0.8647081002436696 [0.876251,0.872371,0.840256,0.82415]
predictive_accuracy
0.8645527859237536
prior_entropy
1.7146330399083418
relative_absolute_error
0.26168687835006355
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.21977604575101992
root_relative_squared_error
0.5400652028411607
total_cost
0
unweighted_recall
0.849169784043907 [0.873469,0.870291,0.801829,0.85109]
area_under_roc_curve
0.9660032743547066 [0.966947,0.956406,0.995186,0.976293]
area_under_roc_curve
0.9632269727931878 [0.950658,0.967149,0.961309,0.987831]
area_under_roc_curve
0.9610997485971867 [0.954894,0.955959,0.979001,0.983437]
area_under_roc_curve
0.9550772790607922 [0.947086,0.947895,0.985705,0.982253]
area_under_roc_curve
0.9729515475022069 [0.974596,0.969147,0.978941,0.975839]
area_under_roc_curve
0.9702507591896138 [0.967032,0.973533,0.980005,0.966601]
area_under_roc_curve
0.9700456699448029 [0.963909,0.966375,0.994883,0.986022]
area_under_roc_curve
0.9716163037756873 [0.975567,0.962798,0.980629,0.979828]
area_under_roc_curve
0.9623069587728089 [0.964248,0.957237,0.980173,0.962809]
area_under_roc_curve
0.9619489605928184 [0.957433,0.961601,0.961204,0.975307]
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
0.8551074699481624 [0.870748,0.859155,0.861538,0.8]
f_measure
0.8552162536594762 [0.853933,0.86747,0.793651,0.852071]
f_measure
0.8715993918476487 [0.870968,0.874109,0.83871,0.88]
f_measure
0.8545728319195153 [0.873874,0.86052,0.618182,0.882353]
f_measure
0.8704847619083171 [0.887324,0.88993,0.823529,0.795322]
f_measure
0.8735159820113305 [0.876147,0.885246,0.835821,0.851852]
f_measure
0.8845314477489412 [0.884444,0.895377,0.830769,0.878049]
f_measure
0.8808489013840003 [0.904232,0.869779,0.9,0.83908]
f_measure
0.8589973483258249 [0.875576,0.865248,0.878788,0.790419]
f_measure
0.838810828990913 [0.851351,0.845966,0.8,0.802395]
kappa
0.780693904943971
kappa
0.7815314174576322
kappa
0.807099271701332
kappa
0.7828904103303952
kappa
0.8049676254106567
kappa
0.8090976807349491
kappa
0.8252102465943106
kappa
0.820000406491672
kappa
0.7871601231443397
kappa
0.7574727814271482
kb_relative_information_score
0.7661986389699992
kb_relative_information_score
0.77681685459412
kb_relative_information_score
0.7915897183874485
kb_relative_information_score
0.774891028802752
kb_relative_information_score
0.8080295519724423
kb_relative_information_score
0.8074113364425223
kb_relative_information_score
0.8067168832778243
kb_relative_information_score
0.801930712436078
kb_relative_information_score
0.7851799650382486
kb_relative_information_score
0.763254343552471
mean_absolute_error
0.0974012943121729
mean_absolute_error
0.09074046065759296
mean_absolute_error
0.08636343106406028
mean_absolute_error
0.09152658253916493
mean_absolute_error
0.07753501404016512
mean_absolute_error
0.07887959630284211
mean_absolute_error
0.08005983970254849
mean_absolute_error
0.08105368609576583
mean_absolute_error
0.08796328598134691
mean_absolute_error
0.09527925018370759
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
0.8552132696363465 [0.872727,0.847222,0.875,0.820513]
precision
0.8556917033165081 [0.848214,0.878049,0.833333,0.827586]
precision
0.872675138657085 [0.883178,0.872038,0.896552,0.836957]
precision
0.8553554178424088 [0.866071,0.85446,0.772727,0.862069]
precision
0.8722563948213807 [0.917476,0.875576,0.8,0.772727]
precision
0.8738285793366299 [0.884259,0.870968,0.823529,0.873418]
precision
0.8854059229664253 [0.865217,0.915423,0.818182,0.888889]
precision
0.8826430048303539 [0.890351,0.893939,0.964286,0.802198]
precision
0.859689977129278 [0.892019,0.85514,0.878788,0.776471]
precision
0.8398132106899927 [0.847534,0.865,0.756757,0.788235]
predictive_accuracy
0.8553113553113554
predictive_accuracy
0.8553113553113554
predictive_accuracy
0.8717948717948718
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.86996336996337
predictive_accuracy
0.8736263736263736
predictive_accuracy
0.8844036697247707
predictive_accuracy
0.8807339449541284
predictive_accuracy
0.8587155963302752
predictive_accuracy
0.8385321100917431
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
0.2941362871861007
relative_absolute_error
0.274021637842293
relative_absolute_error
0.2606216802944222
relative_absolute_error
0.27620268716824914
relative_absolute_error
0.23397988467839628
relative_absolute_error
0.23803747345498188
relative_absolute_error
0.241784550230737
relative_absolute_error
0.24479943011593427
relative_absolute_error
0.265600772487654
relative_absolute_error
0.287690962979754
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
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
0.22369765555270948
root_mean_squared_error
0.22573568014005596
root_mean_squared_error
0.22351868921977863
root_mean_squared_error
0.23035146031055356
root_mean_squared_error
0.21403434076954247
root_mean_squared_error
0.2068034445754406
root_mean_squared_error
0.20886490854353423
root_mean_squared_error
0.20815429155103696
root_mean_squared_error
0.2214321128799163
root_mean_squared_error
0.23329604370644694
root_relative_squared_error
0.5498592457085438
root_relative_squared_error
0.5548688049708658
root_relative_squared_error
0.5490358532511493
root_relative_squared_error
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root_relative_squared_error
0.5257391555025933
root_relative_squared_error
0.5079776820635842
root_relative_squared_error
0.5134350872424872
root_relative_squared_error
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root_relative_squared_error
0.544220249091033
root_relative_squared_error
0.5733785825668768
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
0.8422948763336138 [0.868778,0.871429,0.848485,0.780488]
unweighted_recall
0.8381239754984375 [0.859729,0.857143,0.757576,0.878049]
unweighted_recall
0.8627177541334168 [0.859091,0.87619,0.787879,0.927711]
unweighted_recall
0.7918127053669223 [0.881818,0.866667,0.515152,0.903614]
unweighted_recall
0.8579036926928494 [0.859091,0.904762,0.848485,0.819277]
unweighted_recall
0.8619979919678715 [0.868182,0.9,0.848485,0.831325]
unweighted_recall
0.8729889525635008 [0.904545,0.87619,0.84375,0.86747]
unweighted_recall
0.8721775151603404 [0.918552,0.84689,0.84375,0.879518]
unweighted_recall
0.8547481301200248 [0.859729,0.875598,0.878788,0.804878]
unweighted_recall
0.8371282088245767 [0.855204,0.827751,0.848485,0.817073]
usercpu_time_millis
31.574872000021514
usercpu_time_millis
32.42854699999498
usercpu_time_millis
31.937841999990724
usercpu_time_millis
32.623559999933605
usercpu_time_millis
32.19706799995947
usercpu_time_millis
33.61062800001946
usercpu_time_millis
32.09704099992905
usercpu_time_millis
32.40700199995672
usercpu_time_millis
31.805062999978873
usercpu_time_millis
21.35991900007639
usercpu_time_millis_testing
5.651166000006924
usercpu_time_millis_testing
6.5184460000295985
usercpu_time_millis_testing
6.111524999994344
usercpu_time_millis_testing
6.059409999977561
usercpu_time_millis_testing
5.678284999987682
usercpu_time_millis_testing
5.867334000015489
usercpu_time_millis_testing
6.115998999973726
usercpu_time_millis_testing
6.076111999959721
usercpu_time_millis_testing
5.955951999965237
usercpu_time_millis_testing
3.585258000043723
usercpu_time_millis_training
25.92370600001459
usercpu_time_millis_training
25.91010099996538
usercpu_time_millis_training
25.82631699999638
usercpu_time_millis_training
26.564149999956044
usercpu_time_millis_training
26.51878299997179
usercpu_time_millis_training
27.74329400000397
usercpu_time_millis_training
25.981041999955323
usercpu_time_millis_training
26.330889999996998
usercpu_time_millis_training
25.849111000013636
usercpu_time_millis_training
17.774661000032665
wall_clock_time_millis
31.744956970214844
wall_clock_time_millis
34.966230392456055
wall_clock_time_millis
32.021284103393555
wall_clock_time_millis
35.12907028198242
wall_clock_time_millis
32.27949142456055
wall_clock_time_millis
33.669471740722656
wall_clock_time_millis
32.164573669433594
wall_clock_time_millis
51.52487754821777
wall_clock_time_millis
32.034873962402344
wall_clock_time_millis
22.638559341430664
wall_clock_time_millis_testing
5.656957626342773
wall_clock_time_millis_testing
9.053230285644531
wall_clock_time_millis_testing
6.1244964599609375
wall_clock_time_millis_testing
6.094932556152344
wall_clock_time_millis_testing
5.701303482055664
wall_clock_time_millis_testing
5.877256393432617
wall_clock_time_millis_testing
6.133794784545898
wall_clock_time_millis_testing
6.094455718994141
wall_clock_time_millis_testing
5.96308708190918
wall_clock_time_millis_testing
3.589153289794922
wall_clock_time_millis_training
26.08799934387207
wall_clock_time_millis_training
25.913000106811523
wall_clock_time_millis_training
25.896787643432617
wall_clock_time_millis_training
29.034137725830078
wall_clock_time_millis_training
26.578187942504883
wall_clock_time_millis_training
27.79221534729004
wall_clock_time_millis_training
26.030778884887695
wall_clock_time_millis_training
45.43042182922363
wall_clock_time_millis_training
26.071786880493164
wall_clock_time_millis_training
19.049406051635742
weighted_recall
0.8553113553113553 [0.868778,0.871429,0.848485,0.780488]
weighted_recall
0.8553113553113553 [0.859729,0.857143,0.757576,0.878049]
weighted_recall
0.8717948717948718 [0.859091,0.87619,0.787879,0.927711]
weighted_recall
0.8571428571428571 [0.881818,0.866667,0.515152,0.903614]
weighted_recall
0.86996336996337 [0.859091,0.904762,0.848485,0.819277]
weighted_recall
0.8736263736263736 [0.868182,0.9,0.848485,0.831325]
weighted_recall
0.8844036697247707 [0.904545,0.87619,0.84375,0.86747]
weighted_recall
0.8807339449541285 [0.918552,0.84689,0.84375,0.879518]
weighted_recall
0.8587155963302753 [0.859729,0.875598,0.878788,0.804878]
weighted_recall
0.8385321100917431 [0.855204,0.827751,0.848485,0.817073]