10571801
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)
8288083
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
0.8125401364879201
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
15
19034
min_samples_split
12
19034
min_weight_fraction_leaf
0.0
19034
random_state
4424
19034
splitter
"best"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22069869
description
https://api.openml.org/data/download/22069869/description.xml
-1
22069870
predictions
https://api.openml.org/data/download/22069870/predictions.arff
area_under_roc_curve
0.9974717618348148 [0.997093,0.999207,0.990766,0.99674]
average_cost
0
f_measure
0.9862339899217133 [0.987526,0.992156,0.978462,0.970838]
kappa
0.9792289641232638
kb_relative_information_score
0.976167229389757
mean_absolute_error
0.009299839992740923
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9862536656891495 [0.987302,0.995231,0.969512,0.967312]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9862355687333835 [0.98775,0.9891,0.987578,0.97439]
predictive_accuracy
0.9862536656891495
prior_entropy
1.7146330399083418
relative_absolute_error
0.02807599301162324
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.07345151111977934
root_relative_squared_error
0.18049558183803707
total_cost
0
unweighted_recall
0.9798393534691876 [0.987302,0.995231,0.969512,0.967312]
area_under_roc_curve
0.995731915018776 [0.995231,0.99684,0.999911,0.992562]
area_under_roc_curve
0.9916275442875973 [0.99127,0.997569,0.938537,0.998738]
area_under_roc_curve
0.9968076064612544 [0.99595,0.99842,0.98473,0.999805]
area_under_roc_curve
0.9967656980887389 [0.996779,0.999901,0.999941,0.987535]
area_under_roc_curve
0.99992821923446 [0.999909,0.999943,0.999941,0.999935]
area_under_roc_curve
0.9985798924563837 [0.997211,1,0.99997,0.998061]
area_under_roc_curve
0.9998365441213587 [0.999776,0.999872,1,0.999844]
area_under_roc_curve
0.9988068025529799 [0.997584,0.999915,1,0.998813]
area_under_roc_curve
0.9989105847504239 [0.999756,0.999929,0.984848,0.999697]
area_under_roc_curve
0.9976155715837841 [0.997137,0.99995,0.999941,0.992019]
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
0.9872147114912216 [0.990868,0.988124,0.985075,0.975904]
f_measure
0.9813933320808451 [0.981982,0.992874,0.918033,0.975904]
f_measure
0.9889893046158775 [0.98861,0.992908,0.984615,0.981818]
f_measure
0.9871333342251548 [0.988713,0.99284,0.985075,0.969325]
f_measure
0.9963518762435105 [0.997722,0.997613,0.985075,0.994012]
f_measure
0.9834730125741518 [0.986301,0.990566,0.984615,0.957576]
f_measure
0.9834009269308942 [0.988662,0.985782,0.984615,0.962963]
f_measure
0.9945089161602925 [0.995455,0.995215,1,0.988095]
f_measure
0.9852886078006056 [0.986364,0.990521,0.984615,0.969325]
f_measure
0.9741999494735291 [0.970917,0.995215,0.96875,0.931677]
kappa
0.9806812610253793
kappa
0.9722435450991557
kappa
0.9833995459704882
kappa
0.9806386901987802
kappa
0.9944835111542192
kappa
0.9751005806824284
kappa
0.9750091709464418
kappa
0.9916948584316234
kappa
0.9778016506203828
kappa
0.9610509604537076
kb_relative_information_score
0.9795772133397621
kb_relative_information_score
0.9652909359901158
kb_relative_information_score
0.9754388691519231
kb_relative_information_score
0.9772990898744055
kb_relative_information_score
0.9878782700506531
kb_relative_information_score
0.9732175130717774
kb_relative_information_score
0.9765460765745436
kb_relative_information_score
0.9877418248846659
kb_relative_information_score
0.9786424279296179
kb_relative_information_score
0.9600406637233193
mean_absolute_error
0.008443952025522582
mean_absolute_error
0.010971923607793173
mean_absolute_error
0.009877619686928027
mean_absolute_error
0.008616479306134475
mean_absolute_error
0.0055091809899502206
mean_absolute_error
0.010823647556384127
mean_absolute_error
0.009779149709135224
mean_absolute_error
0.005717044905842588
mean_absolute_error
0.0074721494102228045
mean_absolute_error
0.015790108209832985
mean_prior_absolute_error
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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
0.9873902167502071 [1,0.985782,0.970588,0.964286]
precision
0.9819152935782816 [0.977578,0.990521,1,0.964286]
precision
0.9890493149800076 [0.990868,0.985915,1,0.987805]
precision
0.9872544665474422 [0.982063,0.995215,0.970588,0.9875]
precision
0.9964126676311551 [1,1,0.970588,0.988095]
precision
0.9835528065300977 [0.990826,0.981308,1,0.963415]
precision
0.9835430837222031 [0.986425,0.981132,0.969697,0.987342]
precision
0.9945817593092282 [1,0.995215,1,0.976471]
precision
0.9853801122434582 [0.990868,0.981221,1,0.975309]
precision
0.9743985620368267 [0.960177,0.995215,1,0.949367]
predictive_accuracy
0.9871794871794871
predictive_accuracy
0.9816849816849818
predictive_accuracy
0.989010989010989
predictive_accuracy
0.9871794871794871
predictive_accuracy
0.9963369963369964
predictive_accuracy
0.9835164835164835
predictive_accuracy
0.9834862385321101
predictive_accuracy
0.9944954128440366
predictive_accuracy
0.9853211009174312
predictive_accuracy
0.9743119266055047
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
0.025499380839894704
relative_absolute_error
0.03313344957144456
relative_absolute_error
0.0298080079542803
relative_absolute_error
0.026002224405850368
relative_absolute_error
0.016625231176629583
relative_absolute_error
0.032662866427424074
relative_absolute_error
0.02953350047723162
relative_absolute_error
0.01726669572120275
relative_absolute_error
0.022561783968816175
relative_absolute_error
0.047677447373721586
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
0.07557152828913152
root_mean_squared_error
0.08827855524322954
root_mean_squared_error
0.07135882344706942
root_mean_squared_error
0.07356632674688468
root_mean_squared_error
0.05227784344529013
root_mean_squared_error
0.07916035630151243
root_mean_squared_error
0.0702907260406531
root_mean_squared_error
0.05224570169972466
root_mean_squared_error
0.06669287627228304
root_mean_squared_error
0.09393698341836297
root_relative_squared_error
0.18575833277927456
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.18070323836014432
root_relative_squared_error
0.1284116799463365
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
0.16391305337533676
root_relative_squared_error
0.23087170081119018
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
0.9900453802534147 [0.9819,0.990476,1,0.987805]
unweighted_recall
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unweighted_recall
0.9829910551296094 [0.986364,1,0.969697,0.975904]
unweighted_recall
0.9844344912115996 [0.995455,0.990476,1,0.951807]
unweighted_recall
0.9976731601731602 [0.995455,0.995238,1,1]
unweighted_recall
0.9758305951077035 [0.981818,1,0.969697,0.951807]
unweighted_recall
0.980286079382465 [0.990909,0.990476,1,0.939759]
unweighted_recall
0.9965413843122821 [0.99095,0.995215,1,1]
unweighted_recall
0.9787530140829998 [0.9819,1,0.969697,0.963415]
unweighted_recall
0.9577859623072188 [0.9819,0.995215,0.939394,0.914634]
usercpu_time_millis
109.61296899995432
usercpu_time_millis
114.53188300004058
usercpu_time_millis
115.3115449999973
usercpu_time_millis
110.11411700002327
usercpu_time_millis
111.52204000006805
usercpu_time_millis
113.79490699999906
usercpu_time_millis
115.24195500004453
usercpu_time_millis
110.8239229999981
usercpu_time_millis
107.69705100000238
usercpu_time_millis
111.7326799999887
usercpu_time_millis_testing
5.643765000002077
usercpu_time_millis_testing
6.730443000037667
usercpu_time_millis_testing
5.98867399997971
usercpu_time_millis_testing
5.979227000011633
usercpu_time_millis_testing
5.466674000047078
usercpu_time_millis_testing
5.656745999999657
usercpu_time_millis_testing
6.275735000031091
usercpu_time_millis_testing
6.211688000007598
usercpu_time_millis_testing
5.811386000004859
usercpu_time_millis_testing
6.126169999959075
usercpu_time_millis_training
103.96920399995224
usercpu_time_millis_training
107.80144000000291
usercpu_time_millis_training
109.32287100001759
usercpu_time_millis_training
104.13489000001164
usercpu_time_millis_training
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usercpu_time_millis_training
108.1381609999994
usercpu_time_millis_training
108.96622000001344
usercpu_time_millis_training
104.6122349999905
usercpu_time_millis_training
101.88566499999752
usercpu_time_millis_training
105.60651000002963
wall_clock_time_millis
109.99345779418945
wall_clock_time_millis
117.36083030700684
wall_clock_time_millis
127.72870063781738
wall_clock_time_millis
112.99872398376465
wall_clock_time_millis
114.46571350097656
wall_clock_time_millis
114.12334442138672
wall_clock_time_millis
122.00546264648438
wall_clock_time_millis
111.0849380493164
wall_clock_time_millis
108.18600654602051
wall_clock_time_millis
112.32829093933105
wall_clock_time_millis_testing
5.65028190612793
wall_clock_time_millis_testing
8.148670196533203
wall_clock_time_millis_testing
5.992889404296875
wall_clock_time_millis_testing
5.987405776977539
wall_clock_time_millis_testing
5.474090576171875
wall_clock_time_millis_testing
5.702018737792969
wall_clock_time_millis_testing
6.28352165222168
wall_clock_time_millis_testing
6.219625473022461
wall_clock_time_millis_testing
5.817651748657227
wall_clock_time_millis_testing
6.1321258544921875
wall_clock_time_millis_training
104.34317588806152
wall_clock_time_millis_training
109.21216011047363
wall_clock_time_millis_training
121.73581123352051
wall_clock_time_millis_training
107.01131820678711
wall_clock_time_millis_training
108.99162292480469
wall_clock_time_millis_training
108.42132568359375
wall_clock_time_millis_training
115.7219409942627
wall_clock_time_millis_training
104.86531257629395
wall_clock_time_millis_training
102.36835479736328
wall_clock_time_millis_training
106.19616508483887
weighted_recall
0.9871794871794872 [0.9819,0.990476,1,0.987805]
weighted_recall
0.9816849816849816 [0.986425,0.995238,0.848485,0.987805]
weighted_recall
0.989010989010989 [0.986364,1,0.969697,0.975904]
weighted_recall
0.9871794871794872 [0.995455,0.990476,1,0.951807]
weighted_recall
0.9963369963369964 [0.995455,0.995238,1,1]
weighted_recall
0.9835164835164835 [0.981818,1,0.969697,0.951807]
weighted_recall
0.9834862385321101 [0.990909,0.990476,1,0.939759]
weighted_recall
0.9944954128440368 [0.99095,0.995215,1,1]
weighted_recall
0.9853211009174312 [0.9819,1,0.969697,0.963415]
weighted_recall
0.9743119266055046 [0.9819,0.995215,0.939394,0.914634]