10584740
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)
8301022
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
0.1371099935143388
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1233
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
62
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
12
19040
random_state
4082
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.05445785119313557
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
22095748
description
https://api.openml.org/data/download/22095748/description.xml
-1
22095749
predictions
https://api.openml.org/data/download/22095749/predictions.arff
area_under_roc_curve
0.9998003292232115 [0.999655,0.999994,0.999325,0.999886]
average_cost
0
f_measure
0.9972472964455307 [0.997055,0.997855,0.989247,0.999394]
kappa
0.995847368675825
kb_relative_information_score
0.9947572517284777
mean_absolute_error
0.001793178806952021
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9972507331378299 [0.998186,0.998093,0.981707,0.998789]
number_of_instances
5456 [2205,2097,328,826]
precision
0.997252064761163 [0.995928,0.997617,0.996904,1]
predictive_accuracy
0.9972507331378299
prior_entropy
1.7146330399083418
relative_absolute_error
0.005413563641081278
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.0336670464918151
root_relative_squared_error
0.08273149255430413
total_cost
0
unweighted_recall
0.9941937793693 [0.998186,0.998093,0.981707,0.998789]
area_under_roc_curve
0.9999763167866615 [1,1,1,0.999842]
area_under_roc_curve
0.9998051780777826 [0.999722,1,0.998641,1]
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
0.9999664585828038 [0.99993,0.999986,1,1]
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
0.9945110354554292 [0.995455,0.992908,1,0.993865]
f_measure
0.9905183995843035 [0.988814,1,0.918033,1]
f_measure
0.9981685873558463 [0.997722,0.997625,1,1]
f_measure
0.9981799805295691 [1,0.997613,0.985075,1]
f_measure
1 [1,1,1,1]
f_measure
0.9963250830416918 [0.995455,0.997625,0.984615,1]
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
0.9916960700815185
kappa
0.9861013532089073
kappa
0.9972375131546992
kappa
0.9972398453100119
kappa
1
kappa
0.9944697940352779
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
1
kappa
0.9972289732456097
kb_relative_information_score
0.9929323446565155
kb_relative_information_score
0.9797471077945293
kb_relative_information_score
0.9971652592622806
kb_relative_information_score
0.9963654727318394
kb_relative_information_score
0.9978964185185069
kb_relative_information_score
0.991615183261943
kb_relative_information_score
0.9972418423904061
kb_relative_information_score
0.9970168172713114
kb_relative_information_score
0.9996635577907911
kb_relative_information_score
0.9979479284453242
mean_absolute_error
0.0024888793589204223
mean_absolute_error
0.004663666973767073
mean_absolute_error
0.0012970311618652358
mean_absolute_error
0.0017367599813393278
mean_absolute_error
0.001124303221830098
mean_absolute_error
0.00279227320965472
mean_absolute_error
0.0012351493661641563
mean_absolute_error
0.0013634380769850288
mean_absolute_error
0.000192944265841924
mean_absolute_error
0.001031206964958379
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
0.9945828819068256 [1,0.985915,1,1]
precision
0.9910450906026128 [0.977876,1,1,1]
precision
0.998177178271965 [1,0.995261,1,1]
precision
0.9982223658694247 [1,1,0.970588,1]
precision
1 [1,1,1,1]
precision
0.9963456764404631 [0.995455,0.995261,1,1]
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
0.9945054945054944
predictive_accuracy
0.9908424908424908
predictive_accuracy
0.9981684981684981
predictive_accuracy
0.9981684981684981
predictive_accuracy
1
predictive_accuracy
0.9963369963369964
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
0.007516016486810523
relative_absolute_error
0.014083526281897137
relative_absolute_error
0.003914092303127775
relative_absolute_error
0.005241075985841973
relative_absolute_error
0.0033928456897045467
relative_absolute_error
0.00842633191821107
relative_absolute_error
0.00373021024118131
relative_absolute_error
0.004117873971209017
relative_absolute_error
0.0005825856262980594
relative_absolute_error
0.003113678205992377
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
0.04608756524736852
root_mean_squared_error
0.06431987646759176
root_mean_squared_error
0.02885785191717768
root_mean_squared_error
0.027081217577983922
root_mean_squared_error
0.013099835931980098
root_mean_squared_error
0.03893005853012684
root_mean_squared_error
0.027007728601953
root_mean_squared_error
0.028802556827618876
root_mean_squared_error
0.0036025405915672145
root_mean_squared_error
0.015598230818970047
root_relative_squared_error
0.11328537977229777
root_relative_squared_error
0.15810124907725412
root_relative_squared_error
0.07088443210564858
root_relative_squared_error
0.06652043035823577
root_relative_squared_error
0.03217753120989728
root_relative_squared_error
0.09562510399830154
root_relative_squared_error
0.06639083409300842
root_relative_squared_error
0.07080679220009961
root_relative_squared_error
0.008854070498647575
root_relative_squared_error
0.038336232948663874
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
0.9946887760732811 [0.99095,1,1,0.987805]
unweighted_recall
0.9621212121212122 [1,1,0.848485,1]
unweighted_recall
0.9988636363636364 [0.995455,1,1,1]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
0.9912878787878788 [0.995455,1,0.969697,1]
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
15966.936508999424
usercpu_time_millis
15290.878817999328
usercpu_time_millis
10523.627251001017
usercpu_time_millis
9715.088097999796
usercpu_time_millis
9239.666799000588
usercpu_time_millis
9558.427981999557
usercpu_time_millis
11010.246769999867
usercpu_time_millis
10065.530609000234
usercpu_time_millis
14533.411894000892
usercpu_time_millis
9861.434024000118
usercpu_time_millis_testing
10.73505899967131
usercpu_time_millis_testing
10.353359999498934
usercpu_time_millis_testing
9.416783000233409
usercpu_time_millis_testing
10.239173999252671
usercpu_time_millis_testing
10.062628000014229
usercpu_time_millis_testing
9.090671000194561
usercpu_time_millis_testing
9.33402800001204
usercpu_time_millis_testing
9.085632999813242
usercpu_time_millis_testing
6.959965000532975
usercpu_time_millis_testing
9.834235000198532
usercpu_time_millis_training
15956.201449999753
usercpu_time_millis_training
15280.525457999829
usercpu_time_millis_training
10514.210468000783
usercpu_time_millis_training
9704.848924000544
usercpu_time_millis_training
9229.604171000574
usercpu_time_millis_training
9549.337310999363
usercpu_time_millis_training
11000.912741999855
usercpu_time_millis_training
10056.44497600042
usercpu_time_millis_training
14526.451929000359
usercpu_time_millis_training
9851.59978899992
wall_clock_time_millis
16216.330766677856
wall_clock_time_millis
15578.222513198853
wall_clock_time_millis
10685.622215270996
wall_clock_time_millis
9926.483154296875
wall_clock_time_millis
9418.709993362427
wall_clock_time_millis
9738.065481185913
wall_clock_time_millis
11232.489347457886
wall_clock_time_millis
10255.250692367554
wall_clock_time_millis
14748.992204666138
wall_clock_time_millis
10056.542873382568
wall_clock_time_millis_testing
10.875463485717773
wall_clock_time_millis_testing
10.358810424804688
wall_clock_time_millis_testing
9.449481964111328
wall_clock_time_millis_testing
10.561227798461914
wall_clock_time_millis_testing
10.210752487182617
wall_clock_time_millis_testing
9.105205535888672
wall_clock_time_millis_testing
9.33980941772461
wall_clock_time_millis_testing
9.092092514038086
wall_clock_time_millis_testing
6.964445114135742
wall_clock_time_millis_testing
9.851217269897461
wall_clock_time_millis_training
16205.455303192139
wall_clock_time_millis_training
15567.863702774048
wall_clock_time_millis_training
10676.172733306885
wall_clock_time_millis_training
9915.921926498413
wall_clock_time_millis_training
9408.499240875244
wall_clock_time_millis_training
9728.960275650024
wall_clock_time_millis_training
11223.149538040161
wall_clock_time_millis_training
10246.158599853516
wall_clock_time_millis_training
14742.027759552002
wall_clock_time_millis_training
10046.69165611267
weighted_recall
0.9945054945054945 [0.99095,1,1,0.987805]
weighted_recall
0.9908424908424909 [1,1,0.848485,1]
weighted_recall
0.9981684981684982 [0.995455,1,1,1]
weighted_recall
0.9981684981684982 [1,0.995238,1,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
0.9963369963369964 [0.995455,1,0.969697,1]
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]