10584523
28997
Marc Boel
9960
Supervised Classification
19039
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2)
8300805
Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1.
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
memory
null
19039
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
19039
verbose
false
19039
ccp_alpha
0.0
19040
criterion
"friedman_mse"
19040
init
null
19040
learning_rate
0.46728376637976504
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
191
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
121
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
8
19040
random_state
62869
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.27889617269296274
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22095314
description
https://api.openml.org/data/download/22095314/description.xml
-1
22095315
predictions
https://api.openml.org/data/download/22095315/predictions.arff
area_under_roc_curve
0.9996827783347297 [0.999468,0.99999,0.998364,1]
average_cost
0
f_measure
0.9970640820015948 [0.996601,0.997855,0.98773,1]
kappa
0.9955712582697731
kb_relative_information_score
0.9951532313832281
mean_absolute_error
0.0016215967057138087
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9970674486803519 [0.997279,0.998093,0.981707,1]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9970656011959239 [0.995924,0.997617,0.993827,1]
predictive_accuracy
0.9970674486803519
prior_entropy
1.7146330399083418
relative_absolute_error
0.004895561408887617
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.033875124657648616
root_relative_squared_error
0.08324281204981004
total_cost
0
unweighted_recall
0.9942696854379423 [0.997279,0.998093,0.981707,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9996943267658518 [0.999624,1,0.99746,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
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
0.9963373514321382 [0.995455,0.995261,1,1]
f_measure
0.9885351255886968 [0.986607,1,0.9,1]
f_measure
0.9981685873558463 [0.997722,0.997625,1,1]
f_measure
0.9963865924819038 [0.997722,0.997613,0.970588,1]
f_measure
1 [1,1,1,1]
f_measure
0.9981685873558463 [0.997722,0.997625,1,1]
f_measure
0.9981650283842671 [0.997732,0.997613,1,1]
f_measure
0.9981650084906499 [0.997743,0.997602,1,1]
f_measure
0.9981652468450907 [0.997732,0.997613,1,1]
f_measure
0.9981650084906499 [0.997743,0.997602,1,1]
kappa
0.9944676366878774
kappa
0.9833056453010183
kappa
0.9972375131546992
kappa
0.9944849041928869
kappa
1
kappa
0.9972375131546992
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
0.9972293113440637
kappa
0.9972289732456097
kb_relative_information_score
0.9950776487529852
kb_relative_information_score
0.9765616264560631
kb_relative_information_score
0.9967919067400404
kb_relative_information_score
0.9963181309793013
kb_relative_information_score
0.9997501631337973
kb_relative_information_score
0.9965954078470739
kb_relative_information_score
0.9973752716850496
kb_relative_information_score
0.997497408347122
kb_relative_information_score
0.9983464189996377
kb_relative_information_score
0.9972257705191306
mean_absolute_error
0.0020932950499936752
mean_absolute_error
0.005138222739213212
mean_absolute_error
0.0014534089760510243
mean_absolute_error
0.001529098262354379
mean_absolute_error
0.00014799531258955203
mean_absolute_error
0.0016056504730879565
mean_absolute_error
0.0011472630761621666
mean_absolute_error
0.001080613952135944
mean_absolute_error
0.0007797312582184771
mean_absolute_error
0.0012365813691133795
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
0.9963715529753265 [1,0.990566,1,1]
precision
0.9893014474512273 [0.973568,1,1,1]
precision
0.998177178271965 [1,0.995261,1,1]
precision
0.9965463108320249 [1,1,0.942857,1]
precision
1 [1,1,1,1]
precision
0.998177178271965 [1,0.995261,1,1]
precision
0.9981734401594088 [0.995475,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
precision
0.9981738750546091 [1,0.995238,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
predictive_accuracy
0.9963369963369964
predictive_accuracy
0.989010989010989
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9963369963369964
predictive_accuracy
1
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9981651376146788
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
0.006321415319357134
relative_absolute_error
0.015516608582258729
relative_absolute_error
0.004385998620323981
relative_absolute_error
0.004614408593545562
relative_absolute_error
0.0004466101747877216
relative_absolute_error
0.004845422641341311
relative_absolute_error
0.0034647894362118143
relative_absolute_error
0.0032636847551344803
relative_absolute_error
0.0023543598014234488
relative_absolute_error
0.003733796017465756
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
0.04320081734191046
root_mean_squared_error
0.06972275884106865
root_mean_squared_error
0.026833271421219378
root_mean_squared_error
0.028537713024606302
root_mean_squared_error
0.001090670922522157
root_mean_squared_error
0.023717035045196053
root_mean_squared_error
0.02659673749312214
root_mean_squared_error
0.028010237290124387
root_mean_squared_error
0.01629540872736034
root_mean_squared_error
0.029807605411652578
root_relative_squared_error
0.10618961910406907
root_relative_squared_error
0.17138178534032633
root_relative_squared_error
0.06591139256271741
root_relative_squared_error
0.07009806506557983
root_relative_squared_error
0.0026790486408694576
root_relative_squared_error
0.058256884997312276
root_relative_squared_error
0.06538052911985645
root_relative_squared_error
0.0688589927327393
root_relative_squared_error
0.04004970770185241
root_relative_squared_error
0.07325903289706676
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
0.997737556561086 [0.99095,1,1,1]
unweighted_recall
0.9545454545454546 [1,1,0.818182,1]
unweighted_recall
0.9988636363636364 [0.995455,1,1,1]
unweighted_recall
0.9976731601731602 [0.995455,0.995238,1,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
0.9988636363636364 [0.995455,1,1,1]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
unweighted_recall
0.998868778280543 [0.995475,1,1,1]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
usercpu_time_millis
5817.179612000473
usercpu_time_millis
5444.121914000789
usercpu_time_millis
2862.2241639986896
usercpu_time_millis
3092.862471999979
usercpu_time_millis
3448.130337999828
usercpu_time_millis
3080.4649889996654
usercpu_time_millis
3208.552991000033
usercpu_time_millis
3087.537166000402
usercpu_time_millis
3077.879631999167
usercpu_time_millis
2963.648378000471
usercpu_time_millis_testing
8.58385200081102
usercpu_time_millis_testing
8.193401000426093
usercpu_time_millis_testing
7.171427999310254
usercpu_time_millis_testing
8.08972899994842
usercpu_time_millis_testing
7.472221999705653
usercpu_time_millis_testing
7.416399999783607
usercpu_time_millis_testing
7.659482999770262
usercpu_time_millis_testing
7.767228000375326
usercpu_time_millis_testing
5.3361020000011194
usercpu_time_millis_testing
7.916831000329694
usercpu_time_millis_training
5808.595759999662
usercpu_time_millis_training
5435.928513000363
usercpu_time_millis_training
2855.0527359993794
usercpu_time_millis_training
3084.7727430000305
usercpu_time_millis_training
3440.6581160001224
usercpu_time_millis_training
3073.0485889998818
usercpu_time_millis_training
3200.893508000263
usercpu_time_millis_training
3079.7699380000267
usercpu_time_millis_training
3072.543529999166
usercpu_time_millis_training
2955.7315470001413
wall_clock_time_millis
5928.520917892456
wall_clock_time_millis
5570.84321975708
wall_clock_time_millis
2929.541826248169
wall_clock_time_millis
3151.3264179229736
wall_clock_time_millis
3518.174886703491
wall_clock_time_millis
3117.682933807373
wall_clock_time_millis
3257.699966430664
wall_clock_time_millis
3139.00089263916
wall_clock_time_millis
3145.209550857544
wall_clock_time_millis
3016.4711475372314
wall_clock_time_millis_testing
8.589982986450195
wall_clock_time_millis_testing
8.199214935302734
wall_clock_time_millis_testing
7.176399230957031
wall_clock_time_millis_testing
8.095979690551758
wall_clock_time_millis_testing
7.483959197998047
wall_clock_time_millis_testing
7.431268692016602
wall_clock_time_millis_testing
7.677316665649414
wall_clock_time_millis_testing
13.672828674316406
wall_clock_time_millis_testing
5.342006683349609
wall_clock_time_millis_testing
8.021831512451172
wall_clock_time_millis_training
5919.930934906006
wall_clock_time_millis_training
5562.644004821777
wall_clock_time_millis_training
2922.365427017212
wall_clock_time_millis_training
3143.230438232422
wall_clock_time_millis_training
3510.690927505493
wall_clock_time_millis_training
3110.2516651153564
wall_clock_time_millis_training
3250.0226497650146
wall_clock_time_millis_training
3125.3280639648438
wall_clock_time_millis_training
3139.8675441741943
wall_clock_time_millis_training
3008.4493160247803
weighted_recall
0.9963369963369964 [0.99095,1,1,1]
weighted_recall
0.989010989010989 [1,1,0.818182,1]
weighted_recall
0.9981684981684982 [0.995455,1,1,1]
weighted_recall
0.9963369963369964 [0.995455,0.995238,1,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
0.9981684981684982 [0.995455,1,1,1]
weighted_recall
0.998165137614679 [1,0.995238,1,1]
weighted_recall
0.998165137614679 [1,0.995215,1,1]
weighted_recall
0.998165137614679 [0.995475,1,1,1]
weighted_recall
0.998165137614679 [1,0.995215,1,1]