10571910
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)
8288192
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
"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
0.791452580298306
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
10
19034
min_samples_split
2
19034
min_weight_fraction_leaf
0.0
19034
random_state
19341
19034
splitter
"random"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22070087
description
https://api.openml.org/data/download/22070087/description.xml
-1
22070088
predictions
https://api.openml.org/data/download/22070088/predictions.arff
area_under_roc_curve
0.9801314000359567 [0.972983,0.987959,0.981921,0.978632]
average_cost
0
f_measure
0.9073135313836038 [0.901603,0.939314,0.850467,0.863891]
kappa
0.8596419516761964
kb_relative_information_score
0.8459794836553987
mean_absolute_error
0.06131067815551185
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9074413489736071 [0.918367,0.933715,0.832317,0.841404]
number_of_instances
5456 [2205,2097,328,826]
precision
0.907690205833443 [0.885439,0.944981,0.869427,0.887612]
predictive_accuracy
0.9074413489736071
prior_entropy
1.7146330399083418
relative_absolute_error
0.18509546108058358
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.18467730919936284
root_relative_squared_error
0.4538155562499503
total_cost
0
unweighted_recall
0.8814509022933892 [0.918367,0.933715,0.832317,0.841404]
area_under_roc_curve
0.9749103221054735 [0.967289,0.983298,0.960423,0.979802]
area_under_roc_curve
0.9838453392781562 [0.973937,0.992963,0.994684,0.982837]
area_under_roc_curve
0.9869321596938373 [0.980584,0.995585,0.980359,0.984478]
area_under_roc_curve
0.9726944379660776 [0.967073,0.985346,0.966094,0.958209]
area_under_roc_curve
0.9786917496437206 [0.970259,0.982426,0.992793,0.985987]
area_under_roc_curve
0.9784718282354671 [0.970977,0.985495,0.994654,0.974134]
area_under_roc_curve
0.9761235170013681 [0.970231,0.985359,0.980476,0.966698]
area_under_roc_curve
0.9771918124706632 [0.967153,0.989249,0.961379,0.979659]
area_under_roc_curve
0.9891552867284378 [0.984959,0.993172,0.997041,0.987054]
area_under_roc_curve
0.9826799529025336 [0.977285,0.984158,0.997011,0.987686]
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
0.8934961127694192 [0.895323,0.914286,0.78125,0.880503]
f_measure
0.9084145953287395 [0.902222,0.947115,0.857143,0.846626]
f_measure
0.9192825206346752 [0.910755,0.950355,0.861538,0.886228]
f_measure
0.905905985348565 [0.89823,0.947619,0.827586,0.851852]
f_measure
0.9066526843142634 [0.900901,0.923445,0.865672,0.895706]
f_measure
0.8990731992448034 [0.887892,0.945107,0.861538,0.82716]
f_measure
0.9097375830614831 [0.905077,0.939759,0.895522,0.851613]
f_measure
0.8995505766520133 [0.896703,0.932692,0.754717,0.879518]
f_measure
0.9225467328678705 [0.915033,0.958637,0.925373,0.849673]
f_measure
0.9068032545756913 [0.903803,0.934307,0.849315,0.867925]
kappa
0.8386680999128845
kappa
0.861149963125906
kappa
0.878432126628141
kappa
0.8576336697444709
kappa
0.8589318824280372
kappa
0.8474806112964912
kappa
0.8634846308385178
kappa
0.8486788320041957
kappa
0.8827746908048038
kappa
0.859071019687974
kb_relative_information_score
0.836387054713155
kb_relative_information_score
0.8481500839300814
kb_relative_information_score
0.8603742136953367
kb_relative_information_score
0.8365601432131059
kb_relative_information_score
0.846011490136959
kb_relative_information_score
0.8334441200800379
kb_relative_information_score
0.8462006590701143
kb_relative_information_score
0.8263097767586065
kb_relative_information_score
0.8816147072002962
kb_relative_information_score
0.8447483734699894
mean_absolute_error
0.06295319465674651
mean_absolute_error
0.060431342075568606
mean_absolute_error
0.05648110057463198
mean_absolute_error
0.06121317594149139
mean_absolute_error
0.062256142129552765
mean_absolute_error
0.06837339563908537
mean_absolute_error
0.062155650773831034
mean_absolute_error
0.06475362206207329
mean_absolute_error
0.04954004364057798
mean_absolute_error
0.06494206033296585
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
0.8937496431129708 [0.881579,0.914286,0.806452,0.909091]
precision
0.9089476035046334 [0.886463,0.956311,0.9,0.851852]
precision
0.9192568017899037 [0.917051,0.943662,0.875,0.880952]
precision
0.9078272360550842 [0.875,0.947619,0.96,0.873418]
precision
0.9069027463056228 [0.892857,0.927885,0.852941,0.9125]
precision
0.8991907258538502 [0.876106,0.947368,0.875,0.848101]
precision
0.9116151084083249 [0.879828,0.95122,0.857143,0.916667]
precision
0.9027839509690327 [0.871795,0.937198,0.952381,0.879518]
precision
0.9247438357845802 [0.882353,0.975248,0.911765,0.915493]
precision
0.9086971711529936 [0.893805,0.950495,0.775,0.896104]
predictive_accuracy
0.8937728937728937
predictive_accuracy
0.9084249084249084
predictive_accuracy
0.9194139194139194
predictive_accuracy
0.9065934065934066
predictive_accuracy
0.9065934065934066
predictive_accuracy
0.8992673992673993
predictive_accuracy
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predictive_accuracy
0.9009174311926605
predictive_accuracy
0.9229357798165139
predictive_accuracy
0.9064220183486239
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
0.19010855116044512
relative_absolute_error
0.18249296083080357
relative_absolute_error
0.17044481854501703
relative_absolute_error
0.18472495329876432
relative_absolute_error
0.18787234562759852
relative_absolute_error
0.20633257663971252
relative_absolute_error
0.18771304217551552
relative_absolute_error
0.19556975804911858
relative_absolute_error
0.14958370089539177
relative_absolute_error
0.1960893252104433
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
0.4067990554858411
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_squared_error
0.19434024644000722
root_mean_squared_error
0.18014180750643385
root_mean_squared_error
0.1719394889048534
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.15711934597538155
root_mean_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
0.46183641806333703
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
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total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
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unweighted_recall
0.8790731267775744 [0.918552,0.938095,0.818182,0.841463]
unweighted_recall
0.9004348563083503 [0.904545,0.957143,0.848485,0.891566]
unweighted_recall
0.8572360872059667 [0.922727,0.947619,0.727273,0.831325]
unweighted_recall
0.8966111198038909 [0.909091,0.919048,0.878788,0.879518]
unweighted_recall
0.8746427267511605 [0.9,0.942857,0.848485,0.807229]
unweighted_recall
0.8982675833202942 [0.931818,0.928571,0.9375,0.795181]
unweighted_recall
0.8389561651094625 [0.923077,0.92823,0.625,0.879518]
unweighted_recall
0.9062217106561288 [0.950226,0.942584,0.939394,0.792683]
unweighted_recall
0.903386197607673 [0.914027,0.91866,0.939394,0.841463]
usercpu_time_millis
56.158780999965074
usercpu_time_millis
56.804031000012856
usercpu_time_millis
55.57688200002531
usercpu_time_millis
56.090743999959614
usercpu_time_millis
54.76354799998262
usercpu_time_millis
54.29831200001445
usercpu_time_millis
55.465721000018675
usercpu_time_millis
54.234660000020085
usercpu_time_millis
57.631995000008374
usercpu_time_millis
57.88814099997808
usercpu_time_millis_testing
6.408681999971577
usercpu_time_millis_testing
6.913225000005241
usercpu_time_millis_testing
6.599099000027309
usercpu_time_millis_testing
7.723599999962971
usercpu_time_millis_testing
5.732476999980918
usercpu_time_millis_testing
5.711699000016779
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
6.5119039999785855
usercpu_time_millis_testing
6.503609999981563
usercpu_time_millis_training
49.7500989999935
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
47.89954699998589
usercpu_time_millis_training
51.12009100002979
usercpu_time_millis_training
51.384530999996514
wall_clock_time_millis
59.984683990478516
wall_clock_time_millis
59.32497978210449
wall_clock_time_millis
55.98640441894531
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
55.58037757873535
wall_clock_time_millis
54.44788932800293
wall_clock_time_millis
57.868242263793945
wall_clock_time_millis
58.02154541015625
wall_clock_time_millis_testing
6.981611251831055
wall_clock_time_millis_testing
8.036375045776367
wall_clock_time_millis_testing
6.66046142578125
wall_clock_time_millis_testing
8.446931838989258
wall_clock_time_millis_testing
5.7506561279296875
wall_clock_time_millis_testing
5.719661712646484
wall_clock_time_millis_testing
6.428718566894531
wall_clock_time_millis_testing
6.384372711181641
wall_clock_time_millis_testing
6.530284881591797
wall_clock_time_millis_testing
6.530523300170898
wall_clock_time_millis_training
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wall_clock_time_millis_training
51.288604736328125
wall_clock_time_millis_training
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wall_clock_time_millis_training
48.5537052154541
wall_clock_time_millis_training
49.6213436126709
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
51.33795738220215
wall_clock_time_millis_training
51.49102210998535
weighted_recall
0.8937728937728938 [0.909502,0.914286,0.757576,0.853659]
weighted_recall
0.9084249084249084 [0.918552,0.938095,0.818182,0.841463]
weighted_recall
0.9194139194139194 [0.904545,0.957143,0.848485,0.891566]
weighted_recall
0.9065934065934066 [0.922727,0.947619,0.727273,0.831325]
weighted_recall
0.9065934065934066 [0.909091,0.919048,0.878788,0.879518]
weighted_recall
0.8992673992673993 [0.9,0.942857,0.848485,0.807229]
weighted_recall
0.9100917431192661 [0.931818,0.928571,0.9375,0.795181]
weighted_recall
0.9009174311926605 [0.923077,0.92823,0.625,0.879518]
weighted_recall
0.9229357798165138 [0.950226,0.942584,0.939394,0.792683]
weighted_recall
0.9064220183486239 [0.914027,0.91866,0.939394,0.841463]