10571855
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)
8288137
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
"most_frequent"
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
0.5216704120518547
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
5
19034
min_samples_split
6
19034
min_weight_fraction_leaf
0.0
19034
random_state
53522
19034
splitter
"random"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22069977
description
https://api.openml.org/data/download/22069977/description.xml
-1
22069978
predictions
https://api.openml.org/data/download/22069978/predictions.arff
area_under_roc_curve
0.9756039695265895 [0.970447,0.978586,0.982667,0.978994]
average_cost
0
f_measure
0.9255559260953659 [0.921857,0.9393,0.901235,0.910194]
kappa
0.8875500752175277
kb_relative_information_score
0.8860794391027609
mean_absolute_error
0.04612740792811107
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9255865102639296 [0.922902,0.940868,0.890244,0.90799]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9255464441239383 [0.920814,0.937738,0.9125,0.912409]
predictive_accuracy
0.9255865102639297
prior_entropy
1.7146330399083418
relative_absolute_error
0.1392575338548644
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.17065213859337
root_relative_squared_error
0.4193508966355517
total_cost
0
unweighted_recall
0.915501154518302 [0.922902,0.940868,0.890244,0.90799]
area_under_roc_curve
0.9746753804437678 [0.974132,0.975446,0.984346,0.970274]
area_under_roc_curve
0.9738554781028962 [0.961086,0.981335,0.967807,0.99155]
area_under_roc_curve
0.9739816252237743 [0.97263,0.970933,0.983165,0.981628]
area_under_roc_curve
0.9722557714283172 [0.964013,0.978352,0.983135,0.974355]
area_under_roc_curve
0.9785990870113034 [0.975251,0.982533,0.962313,0.983996]
area_under_roc_curve
0.9746035385191749 [0.968816,0.982433,0.968663,0.972495]
area_under_roc_curve
0.9651815916279548 [0.954357,0.966453,0.994822,0.979229]
area_under_roc_curve
0.974643916032939 [0.971475,0.975422,0.983888,0.97756]
area_under_roc_curve
0.9831176616399303 [0.980239,0.983481,1,0.983156]
area_under_roc_curve
0.9839572237344647 [0.980783,0.988651,0.998816,0.974569]
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
0.9303083329099936 [0.932432,0.945368,0.953846,0.876543]
f_measure
0.9184808661958945 [0.916854,0.945626,0.807018,0.898204]
f_measure
0.9158272507680676 [0.918182,0.920482,0.895522,0.905882]
f_measure
0.9230345437729647 [0.915179,0.94964,0.885246,0.891566]
f_measure
0.9193248822983926 [0.916279,0.939252,0.835821,0.91018]
f_measure
0.9302035326292974 [0.924485,0.950588,0.925373,0.895706]
f_measure
0.8962742941275099 [0.883408,0.899756,0.837838,0.944099]
f_measure
0.9413411145363433 [0.9375,0.942584,0.95082,0.944785]
f_measure
0.9376221081699582 [0.931818,0.947867,0.952381,0.921212]
f_measure
0.9430845740921315 [0.942792,0.950355,0.969697,0.914634]
kappa
0.8946304600649038
kappa
0.8775035692433202
kappa
0.873358107733344
kappa
0.8834003650729892
kappa
0.8786923985821189
kappa
0.8949276830207026
kappa
0.842865597353526
kappa
0.9108425481445128
kappa
0.905609918854075
kappa
0.9141296060991106
kb_relative_information_score
0.8872076660419498
kb_relative_information_score
0.87198644426514
kb_relative_information_score
0.8714028026573811
kb_relative_information_score
0.8810780592986234
kb_relative_information_score
0.8870512479444409
kb_relative_information_score
0.8758327642527529
kb_relative_information_score
0.8645409949660865
kb_relative_information_score
0.9018790893786764
kb_relative_information_score
0.910901939159979
kb_relative_information_score
0.9090126500729396
mean_absolute_error
0.04591207784889105
mean_absolute_error
0.05034499993291199
mean_absolute_error
0.05273373604417562
mean_absolute_error
0.04774682988968703
mean_absolute_error
0.04552682766968483
mean_absolute_error
0.04999339285053573
mean_absolute_error
0.05479698864899251
mean_absolute_error
0.03970762418010126
mean_absolute_error
0.03641331400505712
mean_absolute_error
0.03806985992361061
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
0.9303005857065241 [0.928251,0.943128,0.96875,0.8875]
precision
0.9201994448917161 [0.910714,0.938967,0.958333,0.882353]
precision
0.9161830654929156 [0.918182,0.931707,0.882353,0.885057]
precision
0.9239890317448343 [0.899123,0.956522,0.964286,0.891566]
precision
0.9199203558158151 [0.938095,0.922018,0.823529,0.904762]
precision
0.9302576696037063 [0.930876,0.939535,0.911765,0.9125]
precision
0.8998745105809615 [0.871681,0.924623,0.738095,0.974359]
precision
0.9419024572606394 [0.92511,0.942584,1,0.9625]
precision
0.93798277967618 [0.936073,0.938967,1,0.915663]
precision
0.9432518474060101 [0.953704,0.939252,0.969697,0.914634]
predictive_accuracy
0.9304029304029303
predictive_accuracy
0.9194139194139194
predictive_accuracy
0.9157509157509157
predictive_accuracy
0.923076923076923
predictive_accuracy
0.9194139194139194
predictive_accuracy
0.9304029304029303
predictive_accuracy
0.8954128440366972
predictive_accuracy
0.9412844036697249
predictive_accuracy
0.9376146788990826
predictive_accuracy
0.9431192660550458
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
0.1386471115280066
relative_absolute_error
0.1520338252507239
relative_absolute_error
0.15913627708747782
relative_absolute_error
0.14408713133863235
relative_absolute_error
0.13738775983722504
relative_absolute_error
0.1508666560347888
relative_absolute_error
0.16548953012797135
relative_absolute_error
0.11992549924332514
relative_absolute_error
0.10994819282478323
relative_absolute_error
0.11495005093775071
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
0.17113327277849158
root_mean_squared_error
0.17968674622486927
root_mean_squared_error
0.1806484488047641
root_mean_squared_error
0.17314747736677125
root_mean_squared_error
0.16740839407231567
root_mean_squared_error
0.1740520036318602
root_mean_squared_error
0.19311221173689466
root_mean_squared_error
0.16009420465380983
root_mean_squared_error
0.1512627048496957
root_mean_squared_error
0.15131710751854555
root_relative_squared_error
0.42065354709738306
root_relative_squared_error
0.4416783828105364
root_relative_squared_error
0.44373235891025353
root_relative_squared_error
0.42530749131619955
root_relative_squared_error
0.4112104039341571
root_relative_squared_error
0.42752930709131315
root_relative_squared_error
0.47471155385614233
root_relative_squared_error
0.3935677359897658
root_relative_squared_error
0.3717628208521293
root_relative_squared_error
0.37189652789943883
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
0.9223795573149949 [0.936652,0.947619,0.939394,0.865854]
unweighted_recall
0.8717654296922589 [0.923077,0.952381,0.69697,0.914634]
unweighted_recall
0.9161268450425077 [0.918182,0.909524,0.909091,0.927711]
unweighted_recall
0.896105851979346 [0.931818,0.942857,0.818182,0.891566]
unweighted_recall
0.9041862254211652 [0.895455,0.957143,0.848485,0.915663]
unweighted_recall
0.924749647942419 [0.918182,0.961905,0.939394,0.879518]
unweighted_recall
0.9140144180618578 [0.895455,0.87619,0.96875,0.915663]
unweighted_recall
0.9316927049437004 [0.950226,0.942584,0.90625,0.927711]
unweighted_recall
0.9301149465953513 [0.927602,0.956938,0.909091,0.926829]
unweighted_recall
0.9445450752273225 [0.932127,0.961722,0.969697,0.914634]
usercpu_time_millis
50.77896599993892
usercpu_time_millis
51.899106999997
usercpu_time_millis
52.436984000053144
usercpu_time_millis
51.606491000029564
usercpu_time_millis
51.61704500000042
usercpu_time_millis
51.882581999961985
usercpu_time_millis
50.62828700005184
usercpu_time_millis
51.91758299997673
usercpu_time_millis
52.34811700000819
usercpu_time_millis
46.52134099995919
usercpu_time_millis_testing
5.593288999989454
usercpu_time_millis_testing
6.812329000013051
usercpu_time_millis_testing
6.128339000042615
usercpu_time_millis_testing
7.226273000014771
usercpu_time_millis_testing
5.960480999988249
usercpu_time_millis_testing
5.794186999992235
usercpu_time_millis_testing
6.154115000015281
usercpu_time_millis_testing
6.2154270000291945
usercpu_time_millis_testing
5.960490999996182
usercpu_time_millis_testing
3.961906999961684
usercpu_time_millis_training
45.185676999949465
usercpu_time_millis_training
45.08677799998395
usercpu_time_millis_training
46.30864500001053
usercpu_time_millis_training
44.38021800001479
usercpu_time_millis_training
45.65656400001217
usercpu_time_millis_training
46.08839499996975
usercpu_time_millis_training
44.47417200003656
usercpu_time_millis_training
45.702155999947536
usercpu_time_millis_training
46.387626000012006
usercpu_time_millis_training
42.55943399999751
wall_clock_time_millis
51.07426643371582
wall_clock_time_millis
54.398536682128906
wall_clock_time_millis
52.49595642089844
wall_clock_time_millis
65.87338447570801
wall_clock_time_millis
51.82528495788574
wall_clock_time_millis
51.976919174194336
wall_clock_time_millis
50.77528953552246
wall_clock_time_millis
55.13787269592285
wall_clock_time_millis
57.11507797241211
wall_clock_time_millis
48.60115051269531
wall_clock_time_millis_testing
5.715131759643555
wall_clock_time_millis_testing
9.299278259277344
wall_clock_time_millis_testing
6.134986877441406
wall_clock_time_millis_testing
19.840002059936523
wall_clock_time_millis_testing
6.059408187866211
wall_clock_time_millis_testing
5.801916122436523
wall_clock_time_millis_testing
6.160497665405273
wall_clock_time_millis_testing
6.22248649597168
wall_clock_time_millis_testing
5.972385406494141
wall_clock_time_millis_testing
3.9680004119873047
wall_clock_time_millis_training
45.359134674072266
wall_clock_time_millis_training
45.09925842285156
wall_clock_time_millis_training
46.36096954345703
wall_clock_time_millis_training
46.033382415771484
wall_clock_time_millis_training
45.76587677001953
wall_clock_time_millis_training
46.17500305175781
wall_clock_time_millis_training
44.61479187011719
wall_clock_time_millis_training
48.91538619995117
wall_clock_time_millis_training
51.14269256591797
wall_clock_time_millis_training
44.63315010070801
weighted_recall
0.9304029304029304 [0.936652,0.947619,0.939394,0.865854]
weighted_recall
0.9194139194139194 [0.923077,0.952381,0.69697,0.914634]
weighted_recall
0.9157509157509157 [0.918182,0.909524,0.909091,0.927711]
weighted_recall
0.9230769230769231 [0.931818,0.942857,0.818182,0.891566]
weighted_recall
0.9194139194139194 [0.895455,0.957143,0.848485,0.915663]
weighted_recall
0.9304029304029304 [0.918182,0.961905,0.939394,0.879518]
weighted_recall
0.8954128440366973 [0.895455,0.87619,0.96875,0.915663]
weighted_recall
0.9412844036697248 [0.950226,0.942584,0.90625,0.927711]
weighted_recall
0.9376146788990826 [0.927602,0.956938,0.909091,0.926829]
weighted_recall
0.9431192660550459 [0.932127,0.961722,0.969697,0.914634]