10583978
28997
Marc Boel
9952
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)
8300260
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
0.7417211459587085
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1296
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
7
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
28615
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3844794074997212
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1489
phoneme
https://www.openml.org/data/download/1592281/php8Mz7BG
-1
22094224
description
https://api.openml.org/data/download/22094224/description.xml
-1
22094225
predictions
https://api.openml.org/data/download/22094225/predictions.arff
area_under_roc_curve
0.9135564132730274 [0.913556,0.913556]
average_cost
0
f_measure
0.8478301067388879 [0.894246,0.736093]
kappa
0.6304380037237257
kb_relative_information_score
0.5155185749907737
mean_absolute_error
0.19978131482066033
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8490007401924501 [0.903614,0.717528]
number_of_instances
5404 [3818,1586]
precision
0.8470847494302746 [0.885069,0.755644]
predictive_accuracy
0.84900074019245
prior_entropy
0.8731822780289229
relative_absolute_error
0.48170749052271816
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.3279845329996107
root_relative_squared_error
0.7202763325209396
total_cost
0
unweighted_recall
0.8105714155487018 [0.903614,0.717528]
area_under_roc_curve
0.9094142052751162 [0.909414,0.909414]
area_under_roc_curve
0.9232029372057032 [0.923203,0.923203]
area_under_roc_curve
0.8984326122032336 [0.898433,0.898433]
area_under_roc_curve
0.9145674865817116 [0.914567,0.914567]
area_under_roc_curve
0.8925127576380145 [0.892513,0.892513]
area_under_roc_curve
0.923835244217642 [0.923835,0.923835]
area_under_roc_curve
0.9213499900589833 [0.92135,0.92135]
area_under_roc_curve
0.9227251640267746 [0.922725,0.922725]
area_under_roc_curve
0.9093250136185806 [0.909325,0.909325]
area_under_roc_curve
0.9216064973010448 [0.921606,0.921606]
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
0.8347106731630906 [0.884265,0.715655]
f_measure
0.8563386485985115 [0.897368,0.757764]
f_measure
0.8371048075178252 [0.888031,0.714754]
f_measure
0.8289719522621556 [0.880519,0.705128]
f_measure
0.8316866798398945 [0.883721,0.705882]
f_measure
0.8627054388042897 [0.903394,0.764331]
f_measure
0.8653493438719156 [0.906977,0.764706]
f_measure
0.8572742677317842 [0.899346,0.755556]
f_measure
0.8311746854270874 [0.886624,0.698305]
f_measure
0.872310393681799 [0.912371,0.776316]
kappa
0.5999617816402324
kappa
0.6551549424686192
kappa
0.6030680486097639
kappa
0.5857097671011668
kappa
0.5897764872712541
kappa
0.6677309918180003
kappa
0.6718211898170032
kappa
0.6549033928689993
kappa
0.5858752972805293
kappa
0.6889453621346887
kb_relative_information_score
0.4976397836815636
kb_relative_information_score
0.523720518409085
kb_relative_information_score
0.477684366585149
kb_relative_information_score
0.5184356606697595
kb_relative_information_score
0.46814480300159617
kb_relative_information_score
0.5544951181946286
kb_relative_information_score
0.5304037400929232
kb_relative_information_score
0.5396313692176437
kb_relative_information_score
0.5103609880830244
kb_relative_information_score
0.5347988580273016
mean_absolute_error
0.20759091659410692
mean_absolute_error
0.20087002997155837
mean_absolute_error
0.21654436754027878
mean_absolute_error
0.19430978737580676
mean_absolute_error
0.216959419411295
mean_absolute_error
0.18224549252073705
mean_absolute_error
0.1951356760668384
mean_absolute_error
0.18889866700194663
mean_absolute_error
0.20034755977571284
mean_absolute_error
0.19487384335165617
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.415131335553089
mean_prior_absolute_error
0.415131335553089
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [381,159]
number_of_instances
540 [381,159]
precision
0.8340916798123521 [0.878553,0.727273]
precision
0.8569585962620901 [0.902116,0.748466]
precision
0.8361387228693309 [0.873418,0.746575]
precision
0.8282282023086117 [0.873711,0.718954]
precision
0.8306903842618129 [0.872449,0.72973]
precision
0.862474774453941 [0.901042,0.769231]
precision
0.8647246736532451 [0.895408,0.790541]
precision
0.8571477582586662 [0.898172,0.757962]
precision
0.8307541415906297 [0.861386,0.757353]
precision
0.8719375333430331 [0.896203,0.813793]
predictive_accuracy
0.8354898336414048
predictive_accuracy
0.8558225508317929
predictive_accuracy
0.8391866913123844
predictive_accuracy
0.8299445471349353
predictive_accuracy
0.8333333333333333
predictive_accuracy
0.8629629629629629
predictive_accuracy
0.8666666666666667
predictive_accuracy
0.8574074074074075
predictive_accuracy
0.8351851851851851
predictive_accuracy
0.874074074074074
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8743961361606727
prior_entropy
0.8743961361606727
relative_absolute_error
0.5003316512382319
relative_absolute_error
0.4841330990240252
relative_absolute_error
0.5219110872254895
relative_absolute_error
0.46832172796642974
relative_absolute_error
0.5235927299801172
relative_absolute_error
0.4398168801079304
relative_absolute_error
0.4709250311675227
relative_absolute_error
0.45587312601374536
relative_absolute_error
0.4826124713249728
relative_absolute_error
0.46942696602756157
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.45579347410776366
root_mean_prior_squared_error
0.45579347410776366
root_mean_squared_error
0.3349768098543659
root_mean_squared_error
0.3175537040164372
root_mean_squared_error
0.34078387870050925
root_mean_squared_error
0.3352580865569654
root_mean_squared_error
0.34441834711423275
root_mean_squared_error
0.31282776530210543
root_mean_squared_error
0.3161773518518191
root_mean_squared_error
0.3219737919209677
root_mean_squared_error
0.33552642475196137
root_mean_squared_error
0.3184929408179916
root_relative_squared_error
0.735328916196781
root_relative_squared_error
0.6970823476114633
root_relative_squared_error
0.7480763826341476
root_relative_squared_error
0.735946364589593
root_relative_squared_error
0.7570399976746082
root_relative_squared_error
0.6876031219042811
root_relative_squared_error
0.6949655955211849
root_relative_squared_error
0.7077063133523805
root_relative_squared_error
0.7361369651216915
root_relative_squared_error
0.6987659080495962
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
0.7972274358721064 [0.890052,0.704403]
unweighted_recall
0.8299828772761698 [0.89267,0.767296]
unweighted_recall
0.7943379762257565 [0.903141,0.685535]
unweighted_recall
0.7896292271724455 [0.887435,0.691824]
unweighted_recall
0.7894161309563258 [0.895288,0.683544]
unweighted_recall
0.8326264165948705 [0.905759,0.759494]
unweighted_recall
0.8296772483265955 [0.918848,0.740506]
unweighted_recall
0.8268440585857246 [0.900524,0.753165]
unweighted_recall
0.7805922844550092 [0.913386,0.647799]
unweighted_recall
0.8356361115237954 [0.929134,0.742138]
usercpu_time_millis
199.99776500003463
usercpu_time_millis
274.895195000056
usercpu_time_millis
174.2863650000004
usercpu_time_millis
520.7971419999922
usercpu_time_millis
189.62557700001526
usercpu_time_millis
414.41460000004327
usercpu_time_millis
200.56464499998583
usercpu_time_millis
347.63993799998616
usercpu_time_millis
297.3299600000132
usercpu_time_millis
157.6983280000377
usercpu_time_millis_testing
5.434288000003562
usercpu_time_millis_testing
5.654222000032405
usercpu_time_millis_testing
5.491033999987849
usercpu_time_millis_testing
6.900372000018251
usercpu_time_millis_testing
5.7700099999919985
usercpu_time_millis_testing
6.069663000005221
usercpu_time_millis_testing
5.736743999989358
usercpu_time_millis_testing
6.213109999976041
usercpu_time_millis_testing
5.555936999996902
usercpu_time_millis_testing
3.900552000004609
usercpu_time_millis_training
194.56347700003107
usercpu_time_millis_training
269.2409730000236
usercpu_time_millis_training
168.79533100001254
usercpu_time_millis_training
513.8967699999739
usercpu_time_millis_training
183.85556700002326
usercpu_time_millis_training
408.34493700003804
usercpu_time_millis_training
194.82790099999647
usercpu_time_millis_training
341.4268280000101
usercpu_time_millis_training
291.7740230000163
usercpu_time_millis_training
153.79777600003308
wall_clock_time_millis
209.74087715148926
wall_clock_time_millis
283.04529190063477
wall_clock_time_millis
180.65667152404785
wall_clock_time_millis
540.1139259338379
wall_clock_time_millis
199.85032081604004
wall_clock_time_millis
430.9546947479248
wall_clock_time_millis
202.94427871704102
wall_clock_time_millis
352.1571159362793
wall_clock_time_millis
299.8471260070801
wall_clock_time_millis
158.26964378356934
wall_clock_time_millis_testing
5.439043045043945
wall_clock_time_millis_testing
7.561922073364258
wall_clock_time_millis_testing
5.496501922607422
wall_clock_time_millis_testing
7.231235504150391
wall_clock_time_millis_testing
6.00433349609375
wall_clock_time_millis_testing
6.267070770263672
wall_clock_time_millis_testing
5.741119384765625
wall_clock_time_millis_testing
6.224393844604492
wall_clock_time_millis_testing
5.562305450439453
wall_clock_time_millis_testing
3.9060115814208984
wall_clock_time_millis_training
204.3018341064453
wall_clock_time_millis_training
275.4833698272705
wall_clock_time_millis_training
175.16016960144043
wall_clock_time_millis_training
532.8826904296875
wall_clock_time_millis_training
193.8459873199463
wall_clock_time_millis_training
424.68762397766113
wall_clock_time_millis_training
197.2031593322754
wall_clock_time_millis_training
345.9327220916748
wall_clock_time_millis_training
294.2848205566406
wall_clock_time_millis_training
154.36363220214844
weighted_recall
0.8354898336414048 [0.890052,0.704403]
weighted_recall
0.8558225508317929 [0.89267,0.767296]
weighted_recall
0.8391866913123844 [0.903141,0.685535]
weighted_recall
0.8299445471349353 [0.887435,0.691824]
weighted_recall
0.8333333333333334 [0.895288,0.683544]
weighted_recall
0.8629629629629629 [0.905759,0.759494]
weighted_recall
0.8666666666666667 [0.918848,0.740506]
weighted_recall
0.8574074074074074 [0.900524,0.753165]
weighted_recall
0.8351851851851851 [0.913386,0.647799]
weighted_recall
0.8740740740740741 [0.929134,0.742138]