10560749
869
Pieter Gijsbers
9960
Supervised Classification
18995
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1)
8277066
Python_3.8.3. Sklearn_0.24.2. NumPy_1.21.2. SciPy_1.7.1.
add_indicator
false
18819
copy
true
18819
fill_value
null
18819
missing_values
NaN
18819
strategy
"mean"
18819
verbose
0
18819
ccp_alpha
0.0
18820
class_weight
null
18820
criterion
"gini"
18820
max_depth
1
18820
max_features
null
18820
max_leaf_nodes
null
18820
min_impurity_decrease
0.0
18820
min_impurity_split
null
18820
min_samples_leaf
1
18820
min_samples_split
2
18820
min_weight_fraction_leaf
0.0
18820
random_state
31861
18820
splitter
"best"
18820
memory
null
18995
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"}}]
18995
verbose
false
18995
n_jobs
null
18996
remainder
"drop"
18996
sparse_threshold
0.3
18996
transformer_weights
null
18996
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"}}}]
18996
verbose
false
18996
categories
"auto"
18997
drop
null
18997
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
18997
handle_unknown
"ignore"
18997
sparse
true
18997
openml-python
Sklearn_0.24.2.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22047604
description
https://api.openml.org/data/download/22047604/description.xml
-1
22047605
predictions
https://api.openml.org/data/download/22047605/predictions.arff
area_under_roc_curve
0.7756364096414347 [0.740794,0.873573,0.652284,0.668993]
average_cost
0
kappa
0.5007506841911917
kb_relative_information_score
0.39263908914608814
mean_absolute_error
0.21203079974866781
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.6995967741935484 [1,0.768717,0,0]
number_of_instances
5456 [2205,2097,328,826]
predictive_accuracy
0.6995967741935484
prior_entropy
1.7146330399083418
relative_absolute_error
0.6401158790515896
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.32562174754876416
root_relative_squared_error
0.8001644334735257
total_cost
0
unweighted_recall
0.4421793037672866 [1,0.768717,0,0]
area_under_roc_curve
0.7947399269245913 [0.76,0.898512,0.664717,0.674937]
area_under_roc_curve
0.7885095844533231 [0.752308,0.890476,0.659844,0.676724]
area_under_roc_curve
0.782846889151081 [0.746933,0.883333,0.65692,0.673866]
area_under_roc_curve
0.7969013929598305 [0.759202,0.902381,0.664717,0.682505]
area_under_roc_curve
0.761765133437957 [0.728528,0.854762,0.645224,0.660907]
area_under_roc_curve
0.7687923853423316 [0.734663,0.864286,0.649123,0.665227]
area_under_roc_curve
0.7623158566132975 [0.729231,0.854762,0.645224,0.661255]
area_under_roc_curve
0.8000937652877135 [0.762346,0.906699,0.665692,0.683983]
area_under_roc_curve
0.7964903644864374 [0.759259,0.901914,0.664062,0.681425]
area_under_roc_curve
0.7841365992995025 [0.748457,0.885167,0.657227,0.673866]
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
kappa
0.5219314144856086
kappa
0.5096009015140528
kappa
0.49840205783771135
kappa
0.5229344523223847
kappa
0.46156246169617693
kappa
0.47384779920457204
kappa
0.4629790331159197
kappa
0.5301198074123838
kappa
0.5239535039978499
kappa
0.5023583848704849
kb_relative_information_score
0.4047598225452214
kb_relative_information_score
0.3978293032339326
kb_relative_information_score
0.39158180836829204
kb_relative_information_score
0.40661431181323665
kb_relative_information_score
0.36893039117279053
kb_relative_information_score
0.37649458276304715
kb_relative_information_score
0.3700031391220866
kb_relative_information_score
0.41070118989023774
kb_relative_information_score
0.4063582052216409
kb_relative_information_score
0.3931683996913618
mean_absolute_error
0.20689708925427336
mean_absolute_error
0.20986722833790658
mean_absolute_error
0.21247339300667453
mean_absolute_error
0.20631150718291227
mean_absolute_error
0.2217700301101218
mean_absolute_error
0.2186639435939626
mean_absolute_error
0.22137074965368295
mean_absolute_error
0.20475343785080038
mean_absolute_error
0.2063971284546738
mean_absolute_error
0.21179652051321937
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]
predictive_accuracy
0.7124542124542124
predictive_accuracy
0.7051282051282051
predictive_accuracy
0.6978021978021978
predictive_accuracy
0.7124542124542124
predictive_accuracy
0.6758241758241758
predictive_accuracy
0.6831501831501832
predictive_accuracy
0.6770642201834862
predictive_accuracy
0.7174311926605504
predictive_accuracy
0.7137614678899082
predictive_accuracy
0.7009174311926606
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
0.624796026506782
relative_absolute_error
0.6337653701757298
relative_absolute_error
0.6411877344495726
relative_absolute_error
0.6225928150793579
relative_absolute_error
0.6692424927325166
relative_absolute_error
0.659869156390879
relative_absolute_error
0.6685502661274129
relative_absolute_error
0.6183990798510113
relative_absolute_error
0.6232058766929154
relative_absolute_error
0.6395090728015453
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
0.32072266091872337
root_mean_squared_error
0.32322985301711116
root_mean_squared_error
0.3261574433867837
root_mean_squared_error
0.3196833011805136
root_mean_squared_error
0.33574939666366216
root_mean_squared_error
0.3325672570205514
root_mean_squared_error
0.3352164212656233
root_mean_squared_error
0.31764552232485144
root_mean_squared_error
0.3194635338369452
root_mean_squared_error
0.32514400946322336
root_relative_squared_error
0.7883512233450864
root_relative_squared_error
0.7945140181792999
root_relative_squared_error
0.8011505921457889
root_relative_squared_error
0.7852479568775866
root_relative_squared_error
0.8247116029502944
root_relative_squared_error
0.8168952151564232
root_relative_squared_error
0.8240344139080498
root_relative_squared_error
0.7808841634149895
root_relative_squared_error
0.7851549700676356
root_relative_squared_error
0.7991160429223443
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
0.45 [1,0.8,0,0]
unweighted_recall
0.4452380952380952 [1,0.780952,0,0]
unweighted_recall
0.44166666666666665 [1,0.766667,0,0]
unweighted_recall
0.4511904761904762 [1,0.804762,0,0]
unweighted_recall
0.4273809523809524 [1,0.709524,0,0]
unweighted_recall
0.43214285714285716 [1,0.728571,0,0]
unweighted_recall
0.4273809523809524 [1,0.709524,0,0]
unweighted_recall
0.4533492822966507 [1,0.813397,0,0]
unweighted_recall
0.45095693779904306 [1,0.803828,0,0]
unweighted_recall
0.4425837320574163 [1,0.770335,0,0]
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
31.25
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
31.25
usercpu_time_millis
15.625
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
31.25
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
31.25
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
31.25
usercpu_time_millis_training
15.625
wall_clock_time_millis
19.99974250793457
wall_clock_time_millis
21.985769271850586
wall_clock_time_millis
21.485328674316406
wall_clock_time_millis
21.999835968017578
wall_clock_time_millis
21.001100540161133
wall_clock_time_millis
20.999908447265625
wall_clock_time_millis
22.00031280517578
wall_clock_time_millis
21.99864387512207
wall_clock_time_millis
20.999908447265625
wall_clock_time_millis
20.987510681152344
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
2.9861927032470703
wall_clock_time_millis_testing
2.620220184326172
wall_clock_time_millis_testing
3.0002593994140625
wall_clock_time_millis_testing
2.000570297241211
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
3.0002593994140625
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
2.9876232147216797
wall_clock_time_millis_training
17.999887466430664
wall_clock_time_millis_training
18.999576568603516
wall_clock_time_millis_training
18.865108489990234
wall_clock_time_millis_training
18.999576568603516
wall_clock_time_millis_training
19.000530242919922
wall_clock_time_millis_training
19.00005340576172
wall_clock_time_millis_training
19.00005340576172
wall_clock_time_millis_training
18.999814987182617
wall_clock_time_millis_training
19.00005340576172
wall_clock_time_millis_training
17.999887466430664
weighted_recall
0.7124542124542125 [1,0.8,0,0]
weighted_recall
0.7051282051282052 [1,0.780952,0,0]
weighted_recall
0.6978021978021978 [1,0.766667,0,0]
weighted_recall
0.7124542124542125 [1,0.804762,0,0]
weighted_recall
0.6758241758241759 [1,0.709524,0,0]
weighted_recall
0.6831501831501832 [1,0.728571,0,0]
weighted_recall
0.6770642201834862 [1,0.709524,0,0]
weighted_recall
0.7174311926605504 [1,0.813397,0,0]
weighted_recall
0.7137614678899082 [1,0.803828,0,0]
weighted_recall
0.7009174311926606 [1,0.770335,0,0]