10571777
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)
8288059
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
"mean"
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
0.4452718347412745
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
3
19034
min_samples_split
2
19034
min_weight_fraction_leaf
0.0
19034
random_state
39680
19034
splitter
"best"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22069821
description
https://api.openml.org/data/download/22069821/description.xml
-1
22069822
predictions
https://api.openml.org/data/download/22069822/predictions.arff
area_under_roc_curve
0.9957560782346926 [0.994936,0.997495,0.99073,0.995528]
average_cost
0
f_measure
0.991207028268385 [0.991608,0.994269,0.983155,0.98556]
kappa
0.9867238178675791
kb_relative_information_score
0.9861027739682703
mean_absolute_error
0.005093780547409583
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9912023460410557 [0.991383,0.992847,0.978659,0.991525]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9912266191847681 [0.991833,0.995696,0.987692,0.979665]
predictive_accuracy
0.9912023460410557
prior_entropy
1.7146330399083418
relative_absolute_error
0.015378000821889835
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.06277979892045427
root_relative_squared_error
0.1542715209132161
total_cost
0
unweighted_recall
0.988603526111556 [0.991383,0.992847,0.978659,0.991525]
area_under_roc_curve
0.9919879457938382 [0.991646,0.993148,0.984848,0.992812]
area_under_roc_curve
0.9938321700238509 [0.993039,0.998484,0.954221,1]
area_under_roc_curve
0.9965513329254408 [0.996173,0.997598,0.983874,0.999948]
area_under_roc_curve
0.9962159760172297 [0.996145,0.997484,0.98473,0.997762]
area_under_roc_curve
0.9962421606814053 [0.995301,0.99601,0.99997,0.99784]
area_under_roc_curve
0.9927742418508496 [0.990784,0.997024,1,0.984426]
area_under_roc_curve
0.9947059713758332 [0.992308,0.997576,1,0.991759]
area_under_roc_curve
0.9989177489177489 [1,0.997608,1,0.998918]
area_under_roc_curve
0.9989047970963546 [0.99771,1,1,0.998894]
area_under_roc_curve
0.9973615872198114 [0.996166,1,1,0.992796]
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
0.9890142607422957 [0.990909,0.990521,0.984615,0.981818]
f_measure
0.9871016768376387 [0.98427,0.99284,0.9375,1]
f_measure
0.9945087924808674 [0.995455,0.997613,0.969697,0.994012]
f_measure
0.9853691826291926 [0.99095,0.985577,0.955224,0.982036]
f_measure
0.9871966401707916 [0.986364,0.990431,0.984615,0.982249]
f_measure
0.987195118954083 [0.988558,0.995261,1,0.958084]
f_measure
0.9908437913416025 [0.988662,0.995215,1,0.982036]
f_measure
0.9981684311398324 [1,0.997602,1,0.994012]
f_measure
0.9963296847080868 [0.995455,0.997613,1,0.993939]
f_measure
0.9963302752293578 [0.995475,1,1,0.987805]
kappa
0.9833987888615806
kappa
0.98059652240132
kappa
0.9917174424190327
kappa
0.9779306999727166
kappa
0.9806815539673073
kappa
0.9806769635228394
kappa
0.9861484580310987
kappa
0.9972295085300638
kappa
0.9944625357522059
kappa
0.9944582846103006
kb_relative_information_score
0.9829770532644407
kb_relative_information_score
0.9777221549324367
kb_relative_information_score
0.9886723373305923
kb_relative_information_score
0.9806022614760082
kb_relative_information_score
0.9835087282767913
kb_relative_information_score
0.9786930356055469
kb_relative_information_score
0.985460475033435
kb_relative_information_score
0.9971443517483186
kb_relative_information_score
0.9949770643953997
kb_relative_information_score
0.9913408174062086
mean_absolute_error
0.0057997557997558
mean_absolute_error
0.006471306471306471
mean_absolute_error
0.003968253968253969
mean_absolute_error
0.00702075702075702
mean_absolute_error
0.006715506715506716
mean_absolute_error
0.008348595848595848
mean_absolute_error
0.005810397553516819
mean_absolute_error
0.0012232415902140674
mean_absolute_error
0.0021406727828746177
mean_absolute_error
0.003425076452599389
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
0.9890902304986141 [0.995434,0.985849,1,0.975904]
precision
0.9871752078162762 [0.977679,0.995215,0.967742,1]
precision
0.9945272980987268 [0.995455,1,0.969697,0.988095]
precision
0.9855132648434436 [0.986486,0.995146,0.941176,0.97619]
precision
0.9873535453812735 [0.986364,0.995192,1,0.965116]
precision
0.9872759378889281 [0.995392,0.990566,1,0.952381]
precision
0.9908942829072349 [0.986425,1,1,0.97619]
precision
0.9981869812145042 [1,1,1,0.988095]
precision
0.9963611194450147 [1,0.995238,1,0.987952]
precision
0.9963302752293578 [0.995475,1,1,0.987805]
predictive_accuracy
0.989010989010989
predictive_accuracy
0.9871794871794871
predictive_accuracy
0.9945054945054944
predictive_accuracy
0.9853479853479854
predictive_accuracy
0.9871794871794871
predictive_accuracy
0.9871794871794871
predictive_accuracy
0.9908256880733946
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9963302752293578
predictive_accuracy
0.9963302752293578
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
0.017514332325592363
relative_absolute_error
0.019542307647503053
relative_absolute_error
0.011975126558765693
relative_absolute_error
0.021186762373200833
relative_absolute_error
0.02026559879175732
relative_absolute_error
0.025193823952480123
relative_absolute_error
0.01754767889067006
relative_absolute_error
0.003694450661068156
relative_absolute_error
0.006463655131020932
relative_absolute_error
0.010341848209633494
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
0.07365156006190432
root_mean_squared_error
0.07066749602111988
root_mean_squared_error
0.054612726150137
root_mean_squared_error
0.07203648512563053
root_mean_squared_error
0.06988565578146122
root_mean_squared_error
0.08001481598660823
root_mean_squared_error
0.06772854614785964
root_mean_squared_error
0.03192754284070505
root_mean_squared_error
0.039103094350288754
root_mean_squared_error
0.04888147474130472
root_relative_squared_error
0.18103896154313404
root_relative_squared_error
0.17370399328628033
root_relative_squared_error
0.1341469243796844
root_relative_squared_error
0.1769454411808735
root_relative_squared_error
0.17166229269653144
root_relative_squared_error
0.1965428614550671
root_relative_squared_error
0.16649140462475084
root_relative_squared_error
0.07848910445387264
root_relative_squared_error
0.0961048308249894
root_relative_squared_error
0.12013744534911446
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
0.9847913205875903 [0.986425,0.995238,0.969697,0.987805]
unweighted_recall
0.9726293314528609 [0.99095,0.990476,0.909091,1]
unweighted_recall
0.9900974025974026 [0.995455,0.995238,0.969697,1]
unweighted_recall
0.9823234496427267 [0.995455,0.97619,0.969697,0.987952]
unweighted_recall
0.985443722943723 [0.986364,0.985714,0.969697,1]
unweighted_recall
0.9864184008762322 [0.981818,1,1,0.963855]
unweighted_recall
0.9923342721535493 [0.990909,0.990476,1,0.987952]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
unweighted_recall
0.997737556561086 [0.99095,1,1,1]
unweighted_recall
0.9958199977927381 [0.995475,1,1,0.987805]
usercpu_time_millis
66.60270499997978
usercpu_time_millis
68.04593999999042
usercpu_time_millis
70.29973099997733
usercpu_time_millis
66.97518900000432
usercpu_time_millis
75.77453400000422
usercpu_time_millis
66.51274400007878
usercpu_time_millis
73.24115099999062
usercpu_time_millis
68.55372500001522
usercpu_time_millis
66.36454400000957
usercpu_time_millis
69.01328500003956
usercpu_time_millis_testing
5.496173999972598
usercpu_time_millis_testing
6.303494999997383
usercpu_time_millis_testing
5.876403999991453
usercpu_time_millis_testing
6.802182000001267
usercpu_time_millis_testing
5.828585000017483
usercpu_time_millis_testing
5.491846000040823
usercpu_time_millis_testing
6.184216999997716
usercpu_time_millis_testing
6.019302000026983
usercpu_time_millis_testing
5.4483080000409245
usercpu_time_millis_testing
4.840270000045166
usercpu_time_millis_training
61.10653100000718
usercpu_time_millis_training
61.74244499999304
usercpu_time_millis_training
64.42332699998587
usercpu_time_millis_training
60.173007000003054
usercpu_time_millis_training
69.94594899998674
usercpu_time_millis_training
61.02089800003796
usercpu_time_millis_training
67.0569339999929
usercpu_time_millis_training
62.53442299998824
usercpu_time_millis_training
60.91623599996865
usercpu_time_millis_training
64.1730149999944
wall_clock_time_millis
66.71857833862305
wall_clock_time_millis
68.57633590698242
wall_clock_time_millis
70.5413818359375
wall_clock_time_millis
69.53954696655273
wall_clock_time_millis
77.95262336730957
wall_clock_time_millis
66.6358470916748
wall_clock_time_millis
74.65672492980957
wall_clock_time_millis
68.9544677734375
wall_clock_time_millis
66.46227836608887
wall_clock_time_millis
70.72949409484863
wall_clock_time_millis_testing
5.503416061401367
wall_clock_time_millis_testing
6.309747695922852
wall_clock_time_millis_testing
5.883693695068359
wall_clock_time_millis_testing
9.244918823242188
wall_clock_time_millis_testing
5.836248397827148
wall_clock_time_millis_testing
5.496978759765625
wall_clock_time_millis_testing
6.21485710144043
wall_clock_time_millis_testing
6.025552749633789
wall_clock_time_millis_testing
5.45501708984375
wall_clock_time_millis_testing
6.264448165893555
wall_clock_time_millis_training
61.21516227722168
wall_clock_time_millis_training
62.26658821105957
wall_clock_time_millis_training
64.65768814086914
wall_clock_time_millis_training
60.29462814331055
wall_clock_time_millis_training
72.11637496948242
wall_clock_time_millis_training
61.13886833190918
wall_clock_time_millis_training
68.44186782836914
wall_clock_time_millis_training
62.92891502380371
wall_clock_time_millis_training
61.00726127624512
wall_clock_time_millis_training
64.46504592895508
weighted_recall
0.989010989010989 [0.986425,0.995238,0.969697,0.987805]
weighted_recall
0.9871794871794872 [0.99095,0.990476,0.909091,1]
weighted_recall
0.9945054945054945 [0.995455,0.995238,0.969697,1]
weighted_recall
0.9853479853479854 [0.995455,0.97619,0.969697,0.987952]
weighted_recall
0.9871794871794872 [0.986364,0.985714,0.969697,1]
weighted_recall
0.9871794871794872 [0.981818,1,1,0.963855]
weighted_recall
0.9908256880733946 [0.990909,0.990476,1,0.987952]
weighted_recall
0.998165137614679 [1,0.995215,1,1]
weighted_recall
0.9963302752293578 [0.99095,1,1,1]
weighted_recall
0.9963302752293578 [0.995475,1,1,0.987805]