10571805
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)
8288087
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
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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
"median"
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
0.4152463492585933
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
10
19034
min_samples_split
10
19034
min_weight_fraction_leaf
0.0
19034
random_state
21070
19034
splitter
"best"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22069877
description
https://api.openml.org/data/download/22069877/description.xml
-1
22069878
predictions
https://api.openml.org/data/download/22069878/predictions.arff
area_under_roc_curve
0.9978530405321475 [0.998254,0.997944,0.993757,0.998177]
average_cost
0
f_measure
0.9869811510656084 [0.989588,0.990458,0.980031,0.973955]
kappa
0.9803438885850588
kb_relative_information_score
0.9792422953190076
mean_absolute_error
0.007883788739546276
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9869868035190615 [0.991383,0.989986,0.972561,0.973366]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9869853542129919 [0.987799,0.990931,0.987616,0.974545]
predictive_accuracy
0.9869868035190617
prior_entropy
1.7146330399083418
relative_absolute_error
0.02380096837465895
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0.40694354051108633
root_mean_squared_error
0.06922137936774632
root_relative_squared_error
0.17010069573978293
total_cost
0
unweighted_recall
0.9818238767115434 [0.991383,0.989986,0.972561,0.973366]
area_under_roc_curve
0.9943140931959338 [0.993073,0.995387,0.999823,0.992693]
area_under_roc_curve
0.996719235508072 [0.996561,0.999957,0.969313,0.999882]
area_under_roc_curve
0.9972263896440134 [0.997379,0.996039,0.999705,0.998842]
area_under_roc_curve
0.9989038373943618 [0.999902,0.997569,0.998996,0.999597]
area_under_roc_curve
0.9958447434706903 [0.998173,0.996067,0.984848,0.993481]
area_under_roc_curve
0.9998634776369318 [0.999847,0.999929,1,0.999688]
area_under_roc_curve
0.9983536185390217 [0.998364,0.997498,1,0.999857]
area_under_roc_curve
0.9998287447064205 [0.999881,0.999772,1,0.999765]
area_under_roc_curve
0.9978029370144926 [0.999763,0.997415,0.984848,0.998723]
area_under_roc_curve
0.9997518348379223 [0.999616,0.99995,1,0.999513]
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
0.9836276733660319 [0.988558,0.985714,0.956522,0.975904]
f_measure
0.9851665113115219 [0.98434,0.995238,0.935484,0.981595]
f_measure
0.9889959656898675 [0.990909,0.99284,0.96875,0.982249]
f_measure
0.9889900041468006 [0.99095,0.99284,0.985075,0.97561]
f_measure
0.9871757813673041 [0.988662,0.995238,0.984615,0.963855]
f_measure
0.9908431150458514 [0.993135,0.992908,1,0.975904]
f_measure
0.9889632098328845 [0.993197,0.988124,1,0.97561]
f_measure
0.9853037328408353 [0.991031,0.983051,1,0.97006]
f_measure
0.9852834433048729 [0.988713,0.985714,0.96875,0.981595]
f_measure
0.9852998972450886 [0.986486,0.992806,1,0.957055]
kappa
0.9752073621117635
kappa
0.9777677112652758
kappa
0.9834265044393292
kappa
0.9834161009613195
kappa
0.9806432988437639
kappa
0.9861889633122205
kappa
0.9833458960620937
kappa
0.9778306587751947
kappa
0.9777776645140903
kappa
0.9778161077445189
kb_relative_information_score
0.9781951928415747
kb_relative_information_score
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kb_relative_information_score
0.9784323552468563
kb_relative_information_score
0.9824761485268999
kb_relative_information_score
0.9764676442663541
kb_relative_information_score
0.9848286258190836
kb_relative_information_score
0.9866084335956086
kb_relative_information_score
0.982569370969236
kb_relative_information_score
0.9747510086516782
kb_relative_information_score
0.9764812491787991
mean_absolute_error
0.008744694458980172
mean_absolute_error
0.008944952076820209
mean_absolute_error
0.008500417710944029
mean_absolute_error
0.006400213543070687
mean_absolute_error
0.008001142376142379
mean_absolute_error
0.006425786688944582
mean_absolute_error
0.005629966363911317
mean_absolute_error
0.007245323483855594
mean_absolute_error
0.010260631047690438
mean_absolute_error
0.008685283545254571
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
0.984105180533752 [1,0.985714,0.916667,0.964286]
precision
0.9855684939264094 [0.973451,0.995238,1,0.987654]
precision
0.9891938946406511 [0.990909,0.995215,1,0.965116]
precision
0.9890603713273131 [0.986486,0.995215,0.970588,0.987654]
precision
0.9872043491952994 [0.986425,0.995238,1,0.963855]
precision
0.990919878243822 [1,0.985915,1,0.975904]
precision
0.9889882136242378 [0.99095,0.985782,1,0.987654]
precision
0.985472138702576 [0.982222,0.995098,1,0.964286]
precision
0.9853928119751272 [0.986486,0.981043,1,0.987654]
precision
0.9853101462570957 [0.982063,0.995192,1,0.962963]
predictive_accuracy
0.9835164835164835
predictive_accuracy
0.9853479853479854
predictive_accuracy
0.989010989010989
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9889908256880734
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9853211009174312
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
0.026407574754577348
relative_absolute_error
0.027012320642279996
relative_absolute_error
0.02565198162851388
relative_absolute_error
0.0193141285297122
relative_absolute_error
0.024145302527390066
relative_absolute_error
0.019391301427615314
relative_absolute_error
0.017002768056618333
relative_absolute_error
0.021882423185021548
relative_absolute_error
0.030981465756694075
relative_absolute_error
0.026224782227702335
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
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root_mean_prior_squared_error
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root_mean_squared_error
0.07948696960080266
root_mean_squared_error
0.07440420478001415
root_mean_squared_error
0.07018109213884528
root_mean_squared_error
0.06630660771641805
root_mean_squared_error
0.07453270044674463
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root_mean_squared_error
0.059919414488222335
root_mean_squared_error
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root_mean_squared_error
0.07154421316301782
root_mean_squared_error
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root_relative_squared_error
0.1953826697037367
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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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
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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
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unweighted_recall
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unweighted_recall
0.9874465394043708 [0.995455,0.990476,1,0.963855]
unweighted_recall
0.9799248943827258 [0.990909,0.995238,0.969697,0.963855]
unweighted_recall
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unweighted_recall
0.9874465394043708 [0.995455,0.990476,1,0.963855]
unweighted_recall
0.9867988701216349 [1,0.971292,1,0.975904]
unweighted_recall
0.9740961359363534 [0.99095,0.990431,0.939394,0.97561]
unweighted_recall
0.9831500901122587 [0.99095,0.990431,1,0.95122]
usercpu_time_millis
71.62867900001402
usercpu_time_millis
80.17073299998856
usercpu_time_millis
84.53765400003022
usercpu_time_millis
84.87039499999582
usercpu_time_millis
77.40379900002381
usercpu_time_millis
74.12206899999774
usercpu_time_millis
76.16649999999936
usercpu_time_millis
80.31277300000284
usercpu_time_millis
80.50891900001034
usercpu_time_millis
76.98892499996646
usercpu_time_millis_testing
5.4363410000064505
usercpu_time_millis_testing
6.403256999988116
usercpu_time_millis_testing
6.2706390000357715
usercpu_time_millis_testing
7.145437000019683
usercpu_time_millis_testing
5.374916000050689
usercpu_time_millis_testing
5.481922000001305
usercpu_time_millis_testing
6.160604999990937
usercpu_time_millis_testing
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usercpu_time_millis_testing
5.458304000001135
usercpu_time_millis_testing
3.7644639999712126
usercpu_time_millis_training
66.19233800000757
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
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
73.22446099999524
wall_clock_time_millis
71.72846794128418
wall_clock_time_millis
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wall_clock_time_millis
84.85627174377441
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
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wall_clock_time_millis
92.93913841247559
wall_clock_time_millis
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wall_clock_time_millis
77.1329402923584
wall_clock_time_millis_testing
5.442619323730469
wall_clock_time_millis_testing
6.485700607299805
wall_clock_time_millis_testing
6.278038024902344
wall_clock_time_millis_testing
7.151603698730469
wall_clock_time_millis_testing
5.382299423217773
wall_clock_time_millis_testing
5.488157272338867
wall_clock_time_millis_testing
6.212472915649414
wall_clock_time_millis_testing
6.08372688293457
wall_clock_time_millis_testing
5.464076995849609
wall_clock_time_millis_testing
3.770112991333008
wall_clock_time_millis_training
66.28584861755371
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
86.85541152954102
wall_clock_time_millis_training
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wall_clock_time_millis_training
73.36282730102539
weighted_recall
0.9835164835164835 [0.977376,0.985714,1,0.987805]
weighted_recall
0.9853479853479854 [0.995475,0.995238,0.878788,0.97561]
weighted_recall
0.989010989010989 [0.990909,0.990476,0.939394,1]
weighted_recall
0.989010989010989 [0.995455,0.990476,1,0.963855]
weighted_recall
0.9871794871794872 [0.990909,0.995238,0.969697,0.963855]
weighted_recall
0.9908424908424909 [0.986364,1,1,0.975904]
weighted_recall
0.9889908256880734 [0.995455,0.990476,1,0.963855]
weighted_recall
0.9853211009174312 [1,0.971292,1,0.975904]
weighted_recall
0.9853211009174312 [0.99095,0.990431,0.939394,0.97561]
weighted_recall
0.9853211009174312 [0.99095,0.990431,1,0.95122]