10571870
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)
8288152
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
0.6076888543700262
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
1
19034
min_samples_split
14
19034
min_weight_fraction_leaf
0.0
19034
random_state
25569
19034
splitter
"best"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22070007
description
https://api.openml.org/data/download/22070007/description.xml
-1
22070008
predictions
https://api.openml.org/data/download/22070008/predictions.arff
area_under_roc_curve
0.9943405902179262 [0.993873,0.997312,0.989229,0.990075]
average_cost
0
f_measure
0.9913805760639666 [0.991387,0.995951,0.987692,0.981224]
kappa
0.9869874677651445
kb_relative_information_score
0.9858411124774134
mean_absolute_error
0.004724565054935291
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9913856304985337 [0.991837,0.997139,0.978659,0.98063]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9913870004304416 [0.990938,0.994767,0.996894,0.981818]
predictive_accuracy
0.9913856304985338
prior_entropy
1.7146330399083418
relative_absolute_error
0.014263348140275675
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.06481808741300772
root_relative_squared_error
0.1592802955702448
total_cost
0
unweighted_recall
0.9870658952254439 [0.991837,0.997139,0.978659,0.98063]
area_under_roc_curve
0.9970072723369425 [0.997724,0.996995,0.984848,1]
area_under_roc_curve
0.9881702956636643 [0.986182,0.998512,0.939394,0.986675]
area_under_roc_curve
0.9945140642372287 [0.996103,0.994643,1,0.987796]
area_under_roc_curve
0.9916078181702758 [0.987786,0.997619,0.999025,0.98358]
area_under_roc_curve
0.9944380505000653 [0.995441,0.995514,0.984848,0.99287]
area_under_roc_curve
0.9866378029236611 [0.986907,0.994643,0.984819,0.966393]
area_under_roc_curve
0.9984587998609632 [0.998462,0.997612,1,1]
area_under_roc_curve
0.9989177489177489 [0.997738,1,1,0.998918]
area_under_roc_curve
0.997837442336199 [0.997738,0.997601,1,0.99784]
area_under_roc_curve
0.9958260219916352 [0.994637,1,1,0.986712]
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
0.9963295114321474 [0.997732,0.995261,0.984615,1]
f_measure
0.9833378982949509 [0.979775,0.997625,0.935484,0.97561]
f_measure
0.990832366366808 [0.990909,0.992874,1,0.981818]
f_measure
0.9835597730428651 [0.981818,0.995215,0.985075,0.958084]
f_measure
0.9926710252383415 [0.995434,0.992908,0.984615,0.987952]
f_measure
0.9816212265519824 [0.9819,0.992874,0.984615,0.95122]
f_measure
0.9981650283842671 [0.997732,0.997613,1,1]
f_measure
0.9981685508717945 [0.997732,1,1,0.994012]
f_measure
0.9963481015874416 [0.997732,0.997602,1,0.987952]
f_measure
0.9926236476402062 [0.993228,0.997613,1,0.975309]
kappa
0.9944623623197225
kappa
0.9750077560382666
kappa
0.986177985023619
kappa
0.9751745460791544
kappa
0.9889407082200313
kappa
0.9723105478555886
kappa
0.9972279020559304
kappa
0.9972296775242976
kappa
0.9944657690042448
kappa
0.9889015598908484
kb_relative_information_score
0.9919178269344675
kb_relative_information_score
0.9693807971359734
kb_relative_information_score
0.9851920933087644
kb_relative_information_score
0.9784432153391773
kb_relative_information_score
0.9867893597217916
kb_relative_information_score
0.9693755000096901
kb_relative_information_score
0.9942505557133282
kb_relative_information_score
0.997798424528138
kb_relative_information_score
0.9953698482157847
kb_relative_information_score
0.9900076703416171
mean_absolute_error
0.0025863025863025863
mean_absolute_error
0.008241758241758242
mean_absolute_error
0.005562955562955563
mean_absolute_error
0.00782967032967033
mean_absolute_error
0.004222629222629223
mean_absolute_error
0.009979336902413826
mean_absolute_error
0.002522655733664908
mean_absolute_error
0.0009174311926605505
mean_absolute_error
0.0019495412844036698
mean_absolute_error
0.003414882772680938
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
0.9963715529753265 [1,0.990566,1,1]
precision
0.9836723378742674 [0.973214,0.995261,1,0.97561]
precision
0.9908375156612355 [0.990909,0.990521,1,0.987805]
precision
0.9836575655903387 [0.981818,1,0.970588,0.952381]
precision
0.9927513800753238 [1,0.985915,1,0.987952]
precision
0.981649175172082 [0.977477,0.990521,1,0.962963]
precision
0.9981734401594088 [0.995475,1,1,1]
precision
0.9981869812145042 [1,1,1,0.988095]
precision
0.9964176496286588 [1,1,1,0.97619]
precision
0.9926399466307724 [0.990991,0.995238,1,0.9875]
predictive_accuracy
0.9963369963369964
predictive_accuracy
0.9835164835164835
predictive_accuracy
0.9908424908424908
predictive_accuracy
0.9835164835164835
predictive_accuracy
0.9926739926739927
predictive_accuracy
0.9816849816849818
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9963302752293578
predictive_accuracy
0.9926605504587155
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
0.007810219008350276
relative_absolute_error
0.024888788041631252
relative_absolute_error
0.016787508420609987
relative_absolute_error
0.02362784586402615
relative_absolute_error
0.012742762876635285
relative_absolute_error
0.030114963239499516
relative_absolute_error
0.007618541133948134
relative_absolute_error
0.002770837995801117
relative_absolute_error
0.005886543065751207
relative_absolute_error
0.010311068899485774
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
0.04487850483135972
root_mean_squared_error
0.08915558282417287
root_mean_squared_error
0.06520521478032502
root_mean_squared_error
0.08666860381041619
root_mean_squared_error
0.062131482636636724
root_mean_squared_error
0.09564688999380654
root_mean_squared_error
0.038316657866267756
root_mean_squared_error
0.030289126640769135
root_mean_squared_error
0.04300229351681631
root_mean_squared_error
0.05501778458124965
root_relative_squared_error
0.11031345301374483
root_relative_squared_error
0.21914857087473624
root_relative_squared_error
0.16016558104516815
root_relative_squared_error
0.21288676579679522
root_relative_squared_error
0.15261547793716343
root_relative_squared_error
0.23494040718417736
root_relative_squared_error
0.09419062642735508
root_relative_squared_error
0.07446130247433116
root_relative_squared_error
0.1056880078721865
root_relative_squared_error
0.13521883542466154
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
0.9912930207047854 [0.995475,1,0.969697,1]
unweighted_recall
0.9602057435629889 [0.986425,1,0.878788,0.97561]
unweighted_recall
0.9905127001512545 [0.990909,0.995238,1,0.975904]
unweighted_recall
0.9840374484952799 [0.981818,0.990476,1,0.963855]
unweighted_recall
0.9871394669587441 [0.990909,1,0.969697,0.987952]
unweighted_recall
0.9727644343608199 [0.986364,0.995238,0.969697,0.939759]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
unweighted_recall
0.998868778280543 [0.995475,1,1,1]
unweighted_recall
0.9976726060317391 [0.995475,0.995215,1,1]
unweighted_recall
0.9897224368171283 [0.995475,1,1,0.963415]
usercpu_time_millis
105.00780299997814
usercpu_time_millis
92.9459379999571
usercpu_time_millis
101.92770799994832
usercpu_time_millis
100.69785499996442
usercpu_time_millis
104.61955400000988
usercpu_time_millis
105.79104600003575
usercpu_time_millis
96.59302000000025
usercpu_time_millis
102.0080820000544
usercpu_time_millis
93.51279200001272
usercpu_time_millis
96.28051400000004
usercpu_time_millis_testing
5.992758999980197
usercpu_time_millis_testing
6.098678000000746
usercpu_time_millis_testing
5.5545879999954195
usercpu_time_millis_testing
6.159700000011981
usercpu_time_millis_testing
5.57570000000851
usercpu_time_millis_testing
5.741109000041433
usercpu_time_millis_testing
6.292260000009264
usercpu_time_millis_testing
6.065358000000742
usercpu_time_millis_testing
5.859595000003992
usercpu_time_millis_testing
3.7610599999879923
usercpu_time_millis_training
99.01504399999794
usercpu_time_millis_training
86.84725999995635
usercpu_time_millis_training
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usercpu_time_millis_training
94.53815499995244
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
90.30075999999099
usercpu_time_millis_training
95.94272400005366
usercpu_time_millis_training
87.65319700000873
usercpu_time_millis_training
92.51945400001205
wall_clock_time_millis
105.33022880554199
wall_clock_time_millis
93.10054779052734
wall_clock_time_millis
102.27680206298828
wall_clock_time_millis
102.94747352600098
wall_clock_time_millis
104.85100746154785
wall_clock_time_millis
109.51685905456543
wall_clock_time_millis
96.82440757751465
wall_clock_time_millis
105.14044761657715
wall_clock_time_millis
93.87969970703125
wall_clock_time_millis
101.9289493560791
wall_clock_time_millis_testing
6.1206817626953125
wall_clock_time_millis_testing
6.104707717895508
wall_clock_time_millis_testing
5.561590194702148
wall_clock_time_millis_testing
8.272886276245117
wall_clock_time_millis_testing
5.583524703979492
wall_clock_time_millis_testing
5.747795104980469
wall_clock_time_millis_testing
6.305932998657227
wall_clock_time_millis_testing
6.072044372558594
wall_clock_time_millis_testing
5.881309509277344
wall_clock_time_millis_testing
3.8139820098876953
wall_clock_time_millis_training
99.20954704284668
wall_clock_time_millis_training
86.99584007263184
wall_clock_time_millis_training
96.71521186828613
wall_clock_time_millis_training
94.67458724975586
wall_clock_time_millis_training
99.26748275756836
wall_clock_time_millis_training
103.76906394958496
wall_clock_time_millis_training
90.51847457885742
wall_clock_time_millis_training
99.06840324401855
wall_clock_time_millis_training
87.9983901977539
wall_clock_time_millis_training
98.1149673461914
weighted_recall
0.9963369963369964 [0.995475,1,0.969697,1]
weighted_recall
0.9835164835164835 [0.986425,1,0.878788,0.97561]
weighted_recall
0.9908424908424909 [0.990909,0.995238,1,0.975904]
weighted_recall
0.9835164835164835 [0.981818,0.990476,1,0.963855]
weighted_recall
0.9926739926739927 [0.990909,1,0.969697,0.987952]
weighted_recall
0.9816849816849816 [0.986364,0.995238,0.969697,0.939759]
weighted_recall
0.998165137614679 [1,0.995238,1,1]
weighted_recall
0.998165137614679 [0.995475,1,1,1]
weighted_recall
0.9963302752293578 [0.995475,0.995215,1,1]
weighted_recall
0.9926605504587156 [0.995475,1,1,0.963415]