10584596
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)
8300878
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
"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
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
0.28574463614468437
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
959
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
17
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
7
19040
random_state
10787
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.30835000102549226
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
22095460
description
https://api.openml.org/data/download/22095460/description.xml
-1
22095461
predictions
https://api.openml.org/data/download/22095461/predictions.arff
area_under_roc_curve
0.9999548531856038 [0.999925,0.999989,0.999845,0.999992]
average_cost
0
f_measure
0.997428716966746 [0.997057,0.999047,0.989214,0.997576]
kappa
0.9961232222913095
kb_relative_information_score
0.994135011505959
mean_absolute_error
0.0018055563955318118
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9974340175953079 [0.998639,0.999523,0.978659,0.996368]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9974398967905433 [0.995479,0.998571,1,0.998786]
predictive_accuracy
0.997434017595308
prior_entropy
1.7146330399083418
relative_absolute_error
0.005450931282969549
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.03645588904962356
root_relative_squared_error
0.08958463624668443
total_cost
0
unweighted_recall
0.993297289846773 [0.998639,0.999523,0.978659,0.996368]
area_under_roc_curve
0.9999503988496029 [0.999916,1,1,0.999895]
area_under_roc_curve
0.9993689790990736 [0.998803,1,0.997578,1]
area_under_roc_curve
0.9999887637924448 [0.999972,1,1,1]
area_under_roc_curve
0.9999765310011786 [0.999986,1,0.999705,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9999795755096583 [0.999958,1,0.999941,1]
area_under_roc_curve
0.9999888770684334 [0.999986,0.999986,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9999960370142865 [1,1,1,0.999974]
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
0.9926595888680603 [0.993197,0.995261,1,0.981595]
f_measure
0.9905183995843035 [0.988814,1,0.918033,1]
f_measure
0.9981685873558463 [0.997722,0.997625,1,1]
f_measure
0.99815648622556 [0.997732,1,0.984615,1]
f_measure
1 [1,1,1,1]
f_measure
0.99815648622556 [0.997732,1,0.984615,1]
f_measure
0.9981650283842671 [0.997732,0.997613,1,1]
f_measure
1 [1,1,1,1]
f_measure
0.9981615801532275 [0.997743,1,1,0.993865]
f_measure
1 [1,1,1,1]
kappa
0.9889274759816472
kappa
0.9861013532089073
kappa
0.9972375131546992
kappa
0.9972347569776806
kappa
1
kappa
0.9972347569776806
kappa
0.9972279020559304
kappa
1
kappa
0.9972271827668138
kappa
1
kb_relative_information_score
0.9882887629532239
kb_relative_information_score
0.9769414515994544
kb_relative_information_score
0.9973566665107798
kb_relative_information_score
0.9939307533569902
kb_relative_information_score
0.9991562489865613
kb_relative_information_score
0.9943869908150107
kb_relative_information_score
0.9977026478141562
kb_relative_information_score
0.9989302277474473
kb_relative_information_score
0.9955290945334306
kb_relative_information_score
0.9991481186491096
mean_absolute_error
0.004158646207738628
mean_absolute_error
0.005318708514927078
mean_absolute_error
0.001170303657147336
mean_absolute_error
0.0017966652473304023
mean_absolute_error
0.00041377612487982667
mean_absolute_error
0.0015633617485071513
mean_absolute_error
0.0009581280536437801
mean_absolute_error
0.00046909667334510825
mean_absolute_error
0.0017423907219230965
mean_absolute_error
0.00045790329371549123
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
0.9926776131702757 [0.995455,0.990566,1,0.987654]
precision
0.9910450906026128 [0.977876,1,1,1]
precision
0.998177178271965 [1,0.995261,1,1]
precision
0.9981767855071022 [0.995475,1,1,1]
precision
1 [1,1,1,1]
precision
0.9981767855071022 [0.995475,1,1,1]
precision
0.9981734401594088 [0.995475,1,1,1]
precision
1 [1,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
precision
1 [1,1,1,1]
predictive_accuracy
0.9926739926739927
predictive_accuracy
0.9908424908424908
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9981684981684981
predictive_accuracy
1
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9981651376146788
predictive_accuracy
1
predictive_accuracy
0.9981651376146788
predictive_accuracy
1
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
0.012558444565884223
relative_absolute_error
0.01606164667783304
relative_absolute_error
0.003531662670444471
relative_absolute_error
0.005421854017570442
relative_absolute_error
0.0012486654085327533
relative_absolute_error
0.0047178066084676016
relative_absolute_error
0.002893592609907993
relative_absolute_error
0.0014167720659672986
relative_absolute_error
0.005261062232443553
relative_absolute_error
0.0013826162492527358
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
0.061032264257743586
root_mean_squared_error
0.0665724796147949
root_mean_squared_error
0.02936379976896672
root_mean_squared_error
0.032754086671704034
root_mean_squared_error
0.011387831589765566
root_mean_squared_error
0.03155352422719591
root_mean_squared_error
0.030270700195354782
root_mean_squared_error
0.014749893180138975
root_mean_squared_error
0.029246502766706338
root_mean_squared_error
0.008827942450401144
root_relative_squared_error
0.15002014529714155
root_relative_squared_error
0.16363825242376417
root_relative_squared_error
0.07212720742558815
root_relative_squared_error
0.08045487375589815
root_relative_squared_error
0.027972282118295798
root_relative_squared_error
0.07750589517874801
root_relative_squared_error
0.07441192349673086
root_relative_squared_error
0.036260413533089356
root_relative_squared_error
0.07187999434106526
root_relative_squared_error
0.021696695103677367
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
0.9916399955854762 [0.99095,1,1,0.97561]
unweighted_recall
0.9621212121212122 [1,1,0.848485,1]
unweighted_recall
0.9988636363636364 [0.995455,1,1,1]
unweighted_recall
0.9924242424242424 [1,1,0.969697,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
0.9924242424242424 [1,1,0.969697,1]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
0.9969512195121951 [1,1,1,0.987805]
unweighted_recall
1 [1,1,1,1]
usercpu_time_millis
8243.9138990012
usercpu_time_millis
4365.68935699961
usercpu_time_millis
5126.196463999804
usercpu_time_millis
4746.6900049994365
usercpu_time_millis
6818.09353799963
usercpu_time_millis
4761.040628999581
usercpu_time_millis
6802.241282000978
usercpu_time_millis
7155.360083998858
usercpu_time_millis
4769.764841000324
usercpu_time_millis
4483.5536130003675
usercpu_time_millis_testing
9.028607000800548
usercpu_time_millis_testing
7.830407999790623
usercpu_time_millis_testing
8.195848000468686
usercpu_time_millis_testing
7.956066999213363
usercpu_time_millis_testing
9.226488999956928
usercpu_time_millis_testing
7.9130599997370155
usercpu_time_millis_testing
8.681957000590046
usercpu_time_millis_testing
8.818879999125784
usercpu_time_millis_testing
7.772687000397127
usercpu_time_millis_testing
5.735421999816026
usercpu_time_millis_training
8234.8852920004
usercpu_time_millis_training
4357.858948999819
usercpu_time_millis_training
5118.000615999335
usercpu_time_millis_training
4738.733938000223
usercpu_time_millis_training
6808.867048999673
usercpu_time_millis_training
4753.127568999844
usercpu_time_millis_training
6793.559325000388
usercpu_time_millis_training
7146.541203999732
usercpu_time_millis_training
4761.992153999927
usercpu_time_millis_training
4477.818191000551
wall_clock_time_millis
8358.947277069092
wall_clock_time_millis
4437.60347366333
wall_clock_time_millis
5265.179395675659
wall_clock_time_millis
4823.997974395752
wall_clock_time_millis
6958.907604217529
wall_clock_time_millis
4847.819566726685
wall_clock_time_millis
6961.994409561157
wall_clock_time_millis
7259.939670562744
wall_clock_time_millis
4861.271142959595
wall_clock_time_millis
4565.4144287109375
wall_clock_time_millis_testing
9.033918380737305
wall_clock_time_millis_testing
7.889270782470703
wall_clock_time_millis_testing
8.26120376586914
wall_clock_time_millis_testing
7.963657379150391
wall_clock_time_millis_testing
13.151884078979492
wall_clock_time_millis_testing
7.920026779174805
wall_clock_time_millis_testing
8.687496185302734
wall_clock_time_millis_testing
8.852958679199219
wall_clock_time_millis_testing
7.777929306030273
wall_clock_time_millis_testing
5.846261978149414
wall_clock_time_millis_training
8349.913358688354
wall_clock_time_millis_training
4429.714202880859
wall_clock_time_millis_training
5256.91819190979
wall_clock_time_millis_training
4816.034317016602
wall_clock_time_millis_training
6945.75572013855
wall_clock_time_millis_training
4839.89953994751
wall_clock_time_millis_training
6953.3069133758545
wall_clock_time_millis_training
7251.086711883545
wall_clock_time_millis_training
4853.493213653564
wall_clock_time_millis_training
4559.568166732788
weighted_recall
0.9926739926739927 [0.99095,1,1,0.97561]
weighted_recall
0.9908424908424909 [1,1,0.848485,1]
weighted_recall
0.9981684981684982 [0.995455,1,1,1]
weighted_recall
0.9981684981684982 [1,1,0.969697,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
0.9981684981684982 [1,1,0.969697,1]
weighted_recall
0.998165137614679 [1,0.995238,1,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
0.998165137614679 [1,1,1,0.987805]
weighted_recall
1 [1,1,1,1]