10571848
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)
8288130
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
"gini"
19034
max_depth
null
19034
max_features
0.3484066607337824
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
14
19034
min_samples_split
17
19034
min_weight_fraction_leaf
0.0
19034
random_state
18997
19034
splitter
"random"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22069963
description
https://api.openml.org/data/download/22069963/description.xml
-1
22069964
predictions
https://api.openml.org/data/download/22069964/predictions.arff
area_under_roc_curve
0.9528485659990142 [0.939284,0.961542,0.980315,0.956082]
average_cost
0
f_measure
0.8306043020256902 [0.833784,0.86687,0.825806,0.731952]
kappa
0.7435976153115263
kb_relative_information_score
0.7254550627974684
mean_absolute_error
0.11107628862081671
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.8313782991202346 [0.839456,0.880305,0.780488,0.705811]
number_of_instances
5456 [2205,2097,328,826]
precision
0.8306566390455585 [0.828188,0.853839,0.876712,0.760104]
predictive_accuracy
0.8313782991202346
prior_entropy
1.7146330399083418
relative_absolute_error
0.33533664079267284
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.2440604842786176
root_relative_squared_error
0.5997404061804211
total_cost
0
unweighted_recall
0.8015149807768166 [0.839456,0.880305,0.780488,0.705811]
area_under_roc_curve
0.9595743738700144 [0.949655,0.970274,0.991346,0.946121]
area_under_roc_curve
0.9363159878323698 [0.925242,0.944714,0.93777,0.944071]
area_under_roc_curve
0.9510822091098178 [0.937381,0.957327,0.971764,0.963374]
area_under_roc_curve
0.96148598134908 [0.953583,0.972725,0.976579,0.947995]
area_under_roc_curve
0.9517908173001316 [0.92995,0.962465,0.994123,0.965846]
area_under_roc_curve
0.9574626188288745 [0.958701,0.956101,0.962313,0.955698]
area_under_roc_curve
0.9477496951712739 [0.937035,0.951791,0.989035,0.950008]
area_under_roc_curve
0.9445171388646764 [0.926094,0.952089,0.995614,0.954806]
area_under_roc_curve
0.9586806557072749 [0.941721,0.968188,0.991744,0.966852]
area_under_roc_curve
0.9548323492819789 [0.92976,0.974304,0.988932,0.959055]
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
0.8453165735948929 [0.84507,0.892449,0.818182,0.736196]
f_measure
0.792479951301172 [0.813636,0.835267,0.740741,0.646707]
f_measure
0.8352695969685088 [0.840647,0.873239,0.786885,0.744186]
f_measure
0.8474954028690068 [0.85906,0.894009,0.842105,0.701299]
f_measure
0.8196879164949806 [0.808989,0.849057,0.895522,0.74359]
f_measure
0.8345984305287925 [0.861048,0.849765,0.80597,0.7375]
f_measure
0.825317514039942 [0.826966,0.84434,0.78125,0.789809]
f_measure
0.8256057840912828 [0.830108,0.844444,0.9,0.7375]
f_measure
0.8563550851109566 [0.840909,0.897674,0.881356,0.782609]
f_measure
0.8232160627338866 [0.813043,0.886256,0.8,0.699301]
kappa
0.7676713439035509
kappa
0.6846414916889861
kappa
0.7512969101905509
kappa
0.7697517626548591
kappa
0.7276877274230896
kappa
0.7506381208040068
kappa
0.7350564684089061
kappa
0.7342827816268926
kappa
0.7821128543677377
kappa
0.7326099643135655
kb_relative_information_score
0.7519433031109731
kb_relative_information_score
0.6590923886888644
kb_relative_information_score
0.7081686882375798
kb_relative_information_score
0.7419754529385401
kb_relative_information_score
0.7315082250698193
kb_relative_information_score
0.730452380518079
kb_relative_information_score
0.7351425136365488
kb_relative_information_score
0.7196350260254749
kb_relative_information_score
0.7437139273441538
kb_relative_information_score
0.7329515945114815
mean_absolute_error
0.10092441814618247
mean_absolute_error
0.13413139231213322
mean_absolute_error
0.11833927107917383
mean_absolute_error
0.10213300494126756
mean_absolute_error
0.10892320892410322
mean_absolute_error
0.1086660464170441
mean_absolute_error
0.10704856281111655
mean_absolute_error
0.11495086057446435
mean_absolute_error
0.10666379468893675
mean_absolute_error
0.10897010684568062
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
0.8464944999990307 [0.878049,0.859031,0.818182,0.740741]
precision
0.7970661469851241 [0.817352,0.81448,0.952381,0.635294]
precision
0.8366037757046731 [0.85446,0.861111,0.857143,0.719101]
precision
0.8499653035120244 [0.845815,0.866071,1,0.760563]
precision
0.8199603783094637 [0.8,0.841121,0.882353,0.794521]
precision
0.8345027854783812 [0.863014,0.837963,0.794118,0.766234]
precision
0.8258823068974831 [0.817778,0.836449,0.78125,0.837838]
precision
0.8286307508961828 [0.790984,0.872449,0.964286,0.766234]
precision
0.8579858069195162 [0.844749,0.873303,1,0.797468]
precision
0.8264774232229876 [0.782427,0.877934,0.8125,0.819672]
predictive_accuracy
0.8461538461538461
predictive_accuracy
0.793040293040293
predictive_accuracy
0.8351648351648352
predictive_accuracy
0.8498168498168498
predictive_accuracy
0.8205128205128206
predictive_accuracy
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predictive_accuracy
0.8256880733944953
predictive_accuracy
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predictive_accuracy
0.8568807339449542
predictive_accuracy
0.8256880733944953
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
0.30477555611112284
relative_absolute_error
0.40505529221558256
relative_absolute_error
0.3571161925073871
relative_absolute_error
0.3082100263196776
relative_absolute_error
0.32870104143735906
relative_absolute_error
0.3279249939381721
relative_absolute_error
0.32329178659732827
relative_absolute_error
0.34717613122144103
relative_absolute_error
0.3220660295916373
relative_absolute_error
0.329029824584002
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
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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
0.4068795919478491
root_mean_squared_error
0.22878716861320722
root_mean_squared_error
0.26705561464506117
root_mean_squared_error
0.24932719703076622
root_mean_squared_error
0.23398691402991253
root_mean_squared_error
0.24710311811030553
root_mean_squared_error
0.23932806156873787
root_mean_squared_error
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root_mean_squared_error
0.25130357860988173
root_mean_squared_error
0.23305001131214687
root_mean_squared_error
0.24305427127203139
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
0.5747492768611342
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
0.8232350504588668 [0.81448,0.928571,0.818182,0.731707]
unweighted_recall
0.7329236999251346 [0.809955,0.857143,0.606061,0.658537]
unweighted_recall
0.8028360194022843 [0.827273,0.885714,0.727273,0.771084]
unweighted_recall
0.7936029833620195 [0.872727,0.92381,0.727273,0.650602]
unweighted_recall
0.8208026912846189 [0.818182,0.857143,0.909091,0.698795]
unweighted_recall
0.8125052156678663 [0.859091,0.861905,0.818182,0.710843]
unweighted_recall
0.8042456351379544 [0.836364,0.852381,0.78125,0.746988]
unweighted_recall
0.8115195897741522 [0.873303,0.818182,0.84375,0.710843]
unweighted_recall
0.8291801298200907 [0.837104,0.923445,0.787879,0.768293]
unweighted_recall
0.7846313934247182 [0.846154,0.894737,0.787879,0.609756]
usercpu_time_millis
49.65269300004138
usercpu_time_millis
49.78168899998536
usercpu_time_millis
50.77246900003729
usercpu_time_millis
49.13778200005936
usercpu_time_millis
49.88865000007081
usercpu_time_millis
49.76118700000143
usercpu_time_millis
49.04839999994692
usercpu_time_millis
48.354604999985895
usercpu_time_millis
50.50067900003796
usercpu_time_millis
50.10482600005162
usercpu_time_millis_testing
5.610387000047012
usercpu_time_millis_testing
7.27086199998439
usercpu_time_millis_testing
6.392873000038435
usercpu_time_millis_testing
6.2654520000364755
usercpu_time_millis_testing
6.04802500004098
usercpu_time_millis_testing
5.43153500001381
usercpu_time_millis_testing
6.037594999952489
usercpu_time_millis_testing
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usercpu_time_millis_testing
6.0412270000256285
usercpu_time_millis_testing
5.874883000046793
usercpu_time_millis_training
44.04230599999437
usercpu_time_millis_training
42.51082700000097
usercpu_time_millis_training
44.379595999998855
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
42.21896699999661
usercpu_time_millis_training
44.459452000012334
usercpu_time_millis_training
44.22994300000482
wall_clock_time_millis
49.741268157958984
wall_clock_time_millis
55.69863319396973
wall_clock_time_millis
51.22494697570801
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
52.60515213012695
wall_clock_time_millis
48.558712005615234
wall_clock_time_millis
50.59242248535156
wall_clock_time_millis
50.23312568664551
wall_clock_time_millis_testing
5.616903305053711
wall_clock_time_millis_testing
13.183116912841797
wall_clock_time_millis_testing
6.400823593139648
wall_clock_time_millis_testing
6.271600723266602
wall_clock_time_millis_testing
6.06536865234375
wall_clock_time_millis_testing
5.436420440673828
wall_clock_time_millis_testing
6.050586700439453
wall_clock_time_millis_testing
6.142616271972656
wall_clock_time_millis_testing
6.049394607543945
wall_clock_time_millis_testing
5.969524383544922
wall_clock_time_millis_training
44.12436485290527
wall_clock_time_millis_training
42.51551628112793
wall_clock_time_millis_training
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wall_clock_time_millis_training
43.06387901306152
wall_clock_time_millis_training
45.85576057434082
wall_clock_time_millis_training
46.755313873291016
wall_clock_time_millis_training
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wall_clock_time_millis_training
42.41609573364258
wall_clock_time_millis_training
44.54302787780762
wall_clock_time_millis_training
44.263601303100586
weighted_recall
0.8461538461538461 [0.81448,0.928571,0.818182,0.731707]
weighted_recall
0.793040293040293 [0.809955,0.857143,0.606061,0.658537]
weighted_recall
0.8351648351648352 [0.827273,0.885714,0.727273,0.771084]
weighted_recall
0.8498168498168498 [0.872727,0.92381,0.727273,0.650602]
weighted_recall
0.8205128205128205 [0.818182,0.857143,0.909091,0.698795]
weighted_recall
0.8351648351648352 [0.859091,0.861905,0.818182,0.710843]
weighted_recall
0.8256880733944955 [0.836364,0.852381,0.78125,0.746988]
weighted_recall
0.8256880733944955 [0.873303,0.818182,0.84375,0.710843]
weighted_recall
0.8568807339449541 [0.837104,0.923445,0.787879,0.768293]
weighted_recall
0.8256880733944955 [0.846154,0.894737,0.787879,0.609756]