10584452
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)
8300734
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
0.5434933120858644
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
254
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
124
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
5
19040
random_state
507
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.09906852253453499
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
22095172
description
https://api.openml.org/data/download/22095172/description.xml
-1
22095173
predictions
https://api.openml.org/data/download/22095173/predictions.arff
area_under_roc_curve
0.9997230432864017 [0.999459,0.999997,0.999052,1]
average_cost
0
f_measure
0.9976137162259789 [0.997283,0.998331,0.989247,1]
kappa
0.996401265219518
kb_relative_information_score
0.9953980146068855
mean_absolute_error
0.0014134997992672684
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9976173020527859 [0.998639,0.998093,0.981707,1]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9976186789156863 [0.995929,0.998569,0.996904,1]
predictive_accuracy
0.997617302052786
prior_entropy
1.7146330399083418
relative_absolute_error
0.004267321858992789
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.032328495199254924
root_relative_squared_error
0.07944221244709547
total_cost
0
unweighted_recall
0.994609821492364 [0.998639,0.998093,0.981707,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9998408798678704 [0.999722,1,0.999232,1]
area_under_roc_curve
0.9999351563499663 [0.999875,1,0.999764,1]
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
0.9999943542695836 [0.999986,1,1,1]
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
0.9905183995843035 [0.988814,1,0.918033,1]
f_measure
0.9963250830416918 [0.995455,0.997625,0.984615,1]
f_measure
0.9981799805295691 [1,0.997613,0.985075,1]
f_measure
1 [1,1,1,1]
f_measure
1 [1,1,1,1]
f_measure
0.9981650283842671 [0.997732,0.997613,1,1]
f_measure
0.9981650084906499 [0.997743,0.997602,1,1]
f_measure
1 [1,1,1,1]
f_measure
0.9981650084906499 [0.997743,0.997602,1,1]
kappa
0.9944676366878774
kappa
0.9861013532089073
kappa
0.9944697940352779
kappa
0.9972398453100119
kappa
1
kappa
1
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
1
kappa
0.9972289732456097
kb_relative_information_score
0.9960090589466111
kb_relative_information_score
0.9773202890815582
kb_relative_information_score
0.993286080838127
kb_relative_information_score
0.997566101447064
kb_relative_information_score
0.9996813534783725
kb_relative_information_score
0.9976883391975296
kb_relative_information_score
0.9970089762586499
kb_relative_information_score
0.9978661897471574
kb_relative_information_score
0.9993183836933645
kb_relative_information_score
0.9982470144881421
mean_absolute_error
0.0016131674870922008
mean_absolute_error
0.004859017120055887
mean_absolute_error
0.0019309805124382072
mean_absolute_error
0.0010401184572319305
mean_absolute_error
0.00018721414408078428
mean_absolute_error
0.0011570558084688437
mean_absolute_error
0.0013605851685533881
mean_absolute_error
0.0008894953609723523
mean_absolute_error
0.00036629861565894823
mean_absolute_error
0.0007268331075994572
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
0.9910450906026128 [0.977876,1,1,1]
precision
0.9963456764404631 [0.995455,0.995261,1,1]
precision
0.9982223658694247 [1,1,0.970588,1]
precision
1 [1,1,1,1]
precision
1 [1,1,1,1]
precision
0.9981734401594088 [0.995475,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
precision
1 [1,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
predictive_accuracy
0.9963369963369964
predictive_accuracy
0.9908424908424908
predictive_accuracy
0.9963369963369964
predictive_accuracy
0.9981684981684981
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9981651376146788
predictive_accuracy
0.9981651376146788
predictive_accuracy
1
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
0.004871507084309162
relative_absolute_error
0.01467345239259639
relative_absolute_error
0.005827181476777354
relative_absolute_error
0.0031387986406880425
relative_absolute_error
0.0005649620933775133
relative_absolute_error
0.0034916842149762778
relative_absolute_error
0.0041090323719299255
relative_absolute_error
0.002686465822165416
relative_absolute_error
0.0011060204742783897
relative_absolute_error
0.0021946364633189663
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
0.037332002287706334
root_mean_squared_error
0.0680921715533235
root_mean_squared_error
0.037337759930809275
root_mean_squared_error
0.028966788448897295
root_mean_squared_error
0.0020381847751819045
root_mean_squared_error
0.017910869411727256
root_mean_squared_error
0.029988416316585463
root_mean_squared_error
0.023309894378527672
root_mean_squared_error
0.00799917092992416
root_mean_squared_error
0.018763308920278558
root_relative_squared_error
0.09176379863252976
root_relative_squared_error
0.1673737259179502
root_relative_squared_error
0.09171389181663324
root_relative_squared_error
0.07115201626987071
root_relative_squared_error
0.005006456153763442
root_relative_squared_error
0.0439950211960505
root_relative_squared_error
0.07371800871260682
root_relative_squared_error
0.05730390039137114
root_relative_squared_error
0.019659798840314987
root_relative_squared_error
0.0461151389541393
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
0.9621212121212122 [1,1,0.848485,1]
unweighted_recall
0.9912878787878788 [0.995455,1,0.969697,1]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
usercpu_time_millis
6123.816954000176
usercpu_time_millis
5969.7983809992365
usercpu_time_millis
3391.995507999127
usercpu_time_millis
4296.100420000585
usercpu_time_millis
3693.38121400051
usercpu_time_millis
3395.4501169992
usercpu_time_millis
3076.11505100067
usercpu_time_millis
3372.721834000913
usercpu_time_millis
3986.765057999037
usercpu_time_millis
3340.659247000076
usercpu_time_millis_testing
8.13999500041973
usercpu_time_millis_testing
8.349189999535156
usercpu_time_millis_testing
7.19155899969337
usercpu_time_millis_testing
7.5495669998417725
usercpu_time_millis_testing
8.002423000107228
usercpu_time_millis_testing
7.834084999558399
usercpu_time_millis_testing
7.895006000580906
usercpu_time_millis_testing
7.342836000134412
usercpu_time_millis_testing
7.929462999527459
usercpu_time_millis_testing
4.851624999901105
usercpu_time_millis_training
6115.676958999757
usercpu_time_millis_training
5961.449190999701
usercpu_time_millis_training
3384.8039489994335
usercpu_time_millis_training
4288.550853000743
usercpu_time_millis_training
3685.378791000403
usercpu_time_millis_training
3387.6160319996416
usercpu_time_millis_training
3068.220045000089
usercpu_time_millis_training
3365.3789980007787
usercpu_time_millis_training
3978.8355949995093
usercpu_time_millis_training
3335.807622000175
wall_clock_time_millis
6255.501747131348
wall_clock_time_millis
6071.181058883667
wall_clock_time_millis
3434.16428565979
wall_clock_time_millis
4393.185615539551
wall_clock_time_millis
3740.750789642334
wall_clock_time_millis
3484.503984451294
wall_clock_time_millis
3164.7791862487793
wall_clock_time_millis
3434.046745300293
wall_clock_time_millis
4072.4546909332275
wall_clock_time_millis
3370.1534271240234
wall_clock_time_millis_testing
8.15439224243164
wall_clock_time_millis_testing
8.354425430297852
wall_clock_time_millis_testing
7.198095321655273
wall_clock_time_millis_testing
7.556676864624023
wall_clock_time_millis_testing
8.009195327758789
wall_clock_time_millis_testing
7.840871810913086
wall_clock_time_millis_testing
12.27426528930664
wall_clock_time_millis_testing
7.348537445068359
wall_clock_time_millis_testing
7.935523986816406
wall_clock_time_millis_testing
4.855155944824219
wall_clock_time_millis_training
6247.347354888916
wall_clock_time_millis_training
6062.826633453369
wall_clock_time_millis_training
3426.9661903381348
wall_clock_time_millis_training
4385.628938674927
wall_clock_time_millis_training
3732.741594314575
wall_clock_time_millis_training
3476.663112640381
wall_clock_time_millis_training
3152.5049209594727
wall_clock_time_millis_training
3426.6982078552246
wall_clock_time_millis_training
4064.519166946411
wall_clock_time_millis_training
3365.298271179199
weighted_recall
0.9963369963369964 [0.99095,1,1,1]
weighted_recall
0.9908424908424909 [1,1,0.848485,1]
weighted_recall
0.9963369963369964 [0.995455,1,0.969697,1]
weighted_recall
0.9981684981684982 [1,0.995238,1,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
0.998165137614679 [1,0.995238,1,1]
weighted_recall
0.998165137614679 [1,0.995215,1,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
0.998165137614679 [1,0.995215,1,1]