10571858
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)
8288140
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
0.7401279454177593
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
18
19034
min_samples_split
8
19034
min_weight_fraction_leaf
0.0
19034
random_state
38566
19034
splitter
"best"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22069983
description
https://api.openml.org/data/download/22069983/description.xml
-1
22069984
predictions
https://api.openml.org/data/download/22069984/predictions.arff
area_under_roc_curve
0.9976868407607755 [0.997932,0.997867,0.995281,0.997529]
average_cost
0
f_measure
0.9888178549256182 [0.991182,0.990918,0.983103,0.979444]
kappa
0.9831151591743365
kb_relative_information_score
0.980672391924839
mean_absolute_error
0.007394332242954641
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9888196480938416 [0.994104,0.988555,0.97561,0.98063]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9888347408791642 [0.988278,0.993292,0.990712,0.978261]
predictive_accuracy
0.9888196480938416
prior_entropy
1.7146330399083418
relative_absolute_error
0.02232331099684097
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.06829196483636954
root_relative_squared_error
0.16781680512879174
total_cost
0
unweighted_recall
0.984724670780748 [0.994104,0.988555,0.97561,0.98063]
area_under_roc_curve
0.9932675123686139 [0.995433,0.99042,0.998966,0.992431]
area_under_roc_curve
0.9956195551472538 [0.995837,0.995911,0.984524,0.998752]
area_under_roc_curve
0.996767123814148 [0.995943,0.998306,0.98473,0.999844]
area_under_roc_curve
0.9966421716362125 [0.996772,0.999653,0.999882,0.987392]
area_under_roc_curve
0.9998855061093034 [1,0.999738,0.99997,0.999922]
area_under_roc_curve
0.9998268372491528 [0.99977,0.999929,0.99997,0.999662]
area_under_roc_curve
0.9982902539060283 [0.998378,0.997278,1,0.999961]
area_under_roc_curve
0.9988483752627484 [0.997661,0.999957,1,0.998774]
area_under_roc_curve
0.9978184316246399 [0.999735,0.997501,0.984848,0.998683]
area_under_roc_curve
0.999914189695755 [0.999916,0.999922,1,0.999855]
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
0.9854098334702833 [0.993166,0.983294,0.985075,0.97006]
f_measure
0.9869895419689075 [0.988764,0.99284,0.935484,0.987952]
f_measure
0.9853330855119788 [0.984199,0.990431,0.96875,0.982036]
f_measure
0.9834893680886769 [0.988713,0.98801,0.985075,0.957576]
f_measure
0.9945212016145888 [1,0.992806,0.985075,0.988095]
f_measure
0.9908368070414605 [0.990868,0.995261,0.984615,0.982036]
f_measure
0.9889870998269958 [0.988764,0.987952,1,0.987952]
f_measure
0.9926504386113328 [0.995475,0.99284,1,0.981818]
f_measure
0.985263781953052 [0.986486,0.990476,0.984615,0.968944]
f_measure
0.9944810253678756 [0.995495,0.995215,1,0.987654]
kappa
0.9779344904928369
kappa
0.9805868638794781
kappa
0.9778702104052569
kappa
0.9751388762407794
kappa
0.991730154643079
kappa
0.9861847698473747
kappa
0.9833640276350465
kappa
0.9889038195292776
kappa
0.9777674660520425
kappa
0.9916756613648863
kb_relative_information_score
0.9793755359252956
kb_relative_information_score
0.96867214404601
kb_relative_information_score
0.97690381983438
kb_relative_information_score
0.9739776407261015
kb_relative_information_score
0.9886177838725433
kb_relative_information_score
0.9815217761187456
kb_relative_information_score
0.9835443953601936
kb_relative_information_score
0.9906138133777954
kb_relative_information_score
0.9750730121433422
kb_relative_information_score
0.9884666405377844
mean_absolute_error
0.008406353994589284
mean_absolute_error
0.010625058701981776
mean_absolute_error
0.008556380266906584
mean_absolute_error
0.00954997383568812
mean_absolute_error
0.005209325804291479
mean_absolute_error
0.007761390656127499
mean_absolute_error
0.006910420802260493
mean_absolute_error
0.004116003102000203
mean_absolute_error
0.008188296528042016
mean_absolute_error
0.004609582059123343
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
0.9856341285133854 [1,0.985646,0.970588,0.952941]
precision
0.9873560545553027 [0.982143,0.995215,1,0.97619]
precision
0.9854971771303758 [0.977578,0.995192,1,0.97619]
precision
0.9835753577004064 [0.982063,0.995169,0.970588,0.963415]
precision
0.9946455505279034 [1,1,0.970588,0.976471]
precision
0.9909038518981891 [0.995413,0.990566,1,0.97619]
precision
0.9891946992864423 [0.977778,1,1,0.987952]
precision
0.992655648968023 [0.995475,0.990476,1,0.987805]
precision
0.9853694234401373 [0.982063,0.985782,1,0.987342]
precision
0.9945283251738182 [0.991031,0.995215,1,1]
predictive_accuracy
0.9853479853479854
predictive_accuracy
0.9871794871794871
predictive_accuracy
0.9853479853479854
predictive_accuracy
0.9835164835164835
predictive_accuracy
0.9945054945054944
predictive_accuracy
0.9908424908424908
predictive_accuracy
0.9889908256880734
predictive_accuracy
0.9926605504587155
predictive_accuracy
0.9853211009174312
predictive_accuracy
0.9944954128440366
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
0.025385840816609346
relative_absolute_error
0.03208597318757304
relative_absolute_error
0.02582086161844519
relative_absolute_error
0.028819260619447094
relative_absolute_error
0.01572034861964305
relative_absolute_error
0.02342179611554536
relative_absolute_error
0.020869801785607316
relative_absolute_error
0.012431207786584589
relative_absolute_error
0.024724154616814986
relative_absolute_error
0.013918404048798405
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
0.08269107673462701
root_mean_squared_error
0.08280120931084337
root_mean_squared_error
0.07508983015776825
root_mean_squared_error
0.08118312600518376
root_mean_squared_error
0.04920518346030429
root_mean_squared_error
0.06299881119250116
root_mean_squared_error
0.06466758173654816
root_mean_squared_error
0.04857819220615195
root_mean_squared_error
0.0741555280552219
root_mean_squared_error
0.04770914635398809
root_relative_squared_error
0.20325851412160048
root_relative_squared_error
0.20352922511826535
root_relative_squared_error
0.18444546679770926
root_relative_squared_error
0.19941261740321412
root_relative_squared_error
0.1208642104148353
root_relative_squared_error
0.15474592383133154
root_relative_squared_error
0.1589668925344861
root_relative_squared_error
0.11942224371203014
root_relative_squared_error
0.18225423324924742
root_relative_squared_error
0.11725617921899385
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
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unweighted_recall
0.9661847955965603 [0.995475,0.990476,0.878788,1]
unweighted_recall
0.975992280811558 [0.990909,0.985714,0.939394,0.987952]
unweighted_recall
0.9820535388306472 [0.995455,0.980952,1,0.951807]
unweighted_recall
0.9964285714285714 [1,0.985714,1,1]
unweighted_recall
0.9860031033223804 [0.986364,1,0.969697,0.987952]
unweighted_recall
0.991035570854848 [1,0.97619,1,0.987952]
unweighted_recall
0.991648509646197 [0.995475,0.995215,1,0.975904]
unweighted_recall
0.976770504785305 [0.99095,0.995215,0.969697,0.95122]
unweighted_recall
0.9927062667755864 [1,0.995215,1,0.97561]
usercpu_time_millis
96.56775199999856
usercpu_time_millis
107.04483300003176
usercpu_time_millis
102.55791100001943
usercpu_time_millis
98.32613599996876
usercpu_time_millis
97.63986000001523
usercpu_time_millis
102.54167599998709
usercpu_time_millis
97.84815099999378
usercpu_time_millis
98.66714399998955
usercpu_time_millis
98.58306399996764
usercpu_time_millis
96.52270700001964
usercpu_time_millis_testing
5.480960999989293
usercpu_time_millis_testing
6.559960999993564
usercpu_time_millis_testing
5.465619999995397
usercpu_time_millis_testing
6.439580999995087
usercpu_time_millis_testing
5.510484000012639
usercpu_time_millis_testing
5.491446999997152
usercpu_time_millis_testing
6.178257999977177
usercpu_time_millis_testing
6.105783999998948
usercpu_time_millis_testing
5.471580999994785
usercpu_time_millis_testing
4.725951000011719
usercpu_time_millis_training
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usercpu_time_millis_training
100.4848720000382
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
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usercpu_time_millis_training
92.5613599999906
usercpu_time_millis_training
93.11148299997285
usercpu_time_millis_training
91.79675600000792
wall_clock_time_millis
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wall_clock_time_millis
112.75076866149902
wall_clock_time_millis
105.01360893249512
wall_clock_time_millis
102.9515266418457
wall_clock_time_millis
97.8708267211914
wall_clock_time_millis
102.94032096862793
wall_clock_time_millis
97.97382354736328
wall_clock_time_millis
101.24564170837402
wall_clock_time_millis
98.81091117858887
wall_clock_time_millis
98.06990623474121
wall_clock_time_millis_testing
5.487680435180664
wall_clock_time_millis_testing
8.714437484741211
wall_clock_time_millis_testing
5.471229553222656
wall_clock_time_millis_testing
9.194612503051758
wall_clock_time_millis_testing
5.553007125854492
wall_clock_time_millis_testing
5.497932434082031
wall_clock_time_millis_testing
6.192922592163086
wall_clock_time_millis_testing
8.401155471801758
wall_clock_time_millis_testing
5.4779052734375
wall_clock_time_millis_testing
6.08515739440918
wall_clock_time_millis_training
103.69038581848145
wall_clock_time_millis_training
104.03633117675781
wall_clock_time_millis_training
99.54237937927246
wall_clock_time_millis_training
93.75691413879395
wall_clock_time_millis_training
92.31781959533691
wall_clock_time_millis_training
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wall_clock_time_millis_training
91.7809009552002
wall_clock_time_millis_training
92.84448623657227
wall_clock_time_millis_training
93.33300590515137
wall_clock_time_millis_training
91.98474884033203
weighted_recall
0.9853479853479854 [0.986425,0.980952,1,0.987805]
weighted_recall
0.9871794871794872 [0.995475,0.990476,0.878788,1]
weighted_recall
0.9853479853479854 [0.990909,0.985714,0.939394,0.987952]
weighted_recall
0.9835164835164835 [0.995455,0.980952,1,0.951807]
weighted_recall
0.9945054945054945 [1,0.985714,1,1]
weighted_recall
0.9908424908424909 [0.986364,1,0.969697,0.987952]
weighted_recall
0.9889908256880734 [1,0.97619,1,0.987952]
weighted_recall
0.9926605504587156 [0.995475,0.995215,1,0.975904]
weighted_recall
0.9853211009174312 [0.99095,0.995215,0.969697,0.95122]
weighted_recall
0.9944954128440368 [1,0.995215,1,0.97561]