10581215
28997
Marc Boel
10093
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)
8297497
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
0.26589224367771697
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
88
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
173
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
15449
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.2949079221978976
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1462
banknote-authentication
https://www.openml.org/data/download/1586223/php50jXam
-1
22088697
description
https://api.openml.org/data/download/22088697/description.xml
-1
22088698
predictions
https://api.openml.org/data/download/22088698/predictions.arff
area_under_roc_curve
0.9993707241512844 [0.999371,0.999371]
average_cost
0
f_measure
0.99198567417186 [0.992758,0.99102]
kappa
0.9837790197764401
kb_relative_information_score
0.9640674811883128
mean_absolute_error
0.01992143412940709
mean_prior_absolute_error
0.49387203415364794
weighted_recall
0.9919825072886297 [0.989501,0.995082]
number_of_instances
1372 [762,610]
precision
0.9920154705473478 [0.996037,0.986992]
predictive_accuracy
0.9919825072886297
prior_entropy
0.9911281447384036
relative_absolute_error
0.040337238701006015
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.09057352322047267
root_relative_squared_error
0.18226906433978102
total_cost
0
unweighted_recall
0.9922916397745363 [0.989501,0.995082]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.999137187230371 [0.999137,0.999137]
area_under_roc_curve
0.9985979292493529 [0.998598,0.998598]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.997411561691113 [0.997412,0.997412]
area_under_roc_curve
0.9997842968075926 [0.999784,0.999784]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9980586712683348 [0.998059,0.998059]
area_under_roc_curve
0.9993528904227784 [0.999353,0.999353]
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
0.9927593990347404 [0.993464,0.99187]
f_measure
1 [1,1]
f_measure
0.9854014598540146 [0.986842,0.983607]
f_measure
0.985421866415509 [0.986667,0.983871]
f_measure
1 [1,1]
f_measure
0.9781186959643561 [0.980132,0.97561]
f_measure
0.9927062319881188 [0.993377,0.99187]
f_measure
1 [1,1]
f_measure
0.9926944214777463 [0.993464,0.991736]
f_measure
0.9927062319881188 [0.993377,0.99187]
kappa
0.9853347502656747
kappa
1
kappa
0.9704486626402071
kappa
0.9705439690389164
kappa
1
kappa
0.9557445892107247
kappa
0.9852481964035749
kappa
1
kappa
0.9852003888948904
kappa
0.9852481964035749
kb_relative_information_score
0.9771446061151352
kb_relative_information_score
0.9945420401403778
kb_relative_information_score
0.9581200652524504
kb_relative_information_score
0.9448238249013164
kb_relative_information_score
0.9829415426836747
kb_relative_information_score
0.939210698134474
kb_relative_information_score
0.9689628643231606
kb_relative_information_score
0.9748723428484308
kb_relative_information_score
0.9373256071804329
kb_relative_information_score
0.9624590878758434
mean_absolute_error
0.012675358340025027
mean_absolute_error
0.0036615253393138835
mean_absolute_error
0.022805581593557927
mean_absolute_error
0.02911683760904193
mean_absolute_error
0.010982977997616187
mean_absolute_error
0.0314493609085705
mean_absolute_error
0.0174986624914405
mean_absolute_error
0.01558635457714827
mean_absolute_error
0.035181411055514186
mean_absolute_error
0.02042784791161999
mean_prior_absolute_error
0.49358690378246245
mean_prior_absolute_error
0.49358690378246245
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
number_of_instances
138 [77,61]
number_of_instances
138 [77,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
precision
0.992870500233754 [1,0.983871]
precision
1 [1,1]
precision
0.9854014598540146 [0.986842,0.983607]
precision
0.9858649055729347 [1,0.968254]
precision
1 [1,1]
precision
0.9782403265049838 [0.986667,0.967742]
precision
0.9928184600894748 [1,0.983871]
precision
1 [1,1]
precision
0.992795525642241 [0.987013,1]
precision
0.9928184600894748 [1,0.983871]
predictive_accuracy
0.9927536231884058
predictive_accuracy
1
predictive_accuracy
0.9854014598540146
predictive_accuracy
0.9854014598540146
predictive_accuracy
1
predictive_accuracy
0.9781021897810218
predictive_accuracy
0.9927007299270073
predictive_accuracy
1
predictive_accuracy
0.9927007299270073
predictive_accuracy
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prior_entropy
0.9903020513891087
prior_entropy
0.9903020513891087
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
relative_absolute_error
0.025680094514038024
relative_absolute_error
0.007418197912575939
relative_absolute_error
0.04617039404605497
relative_absolute_error
0.05894766859022811
relative_absolute_error
0.022235276915381644
relative_absolute_error
0.06366991254699961
relative_absolute_error
0.0354264213431395
relative_absolute_error
0.03155491253824227
relative_absolute_error
0.07122552892876736
relative_absolute_error
0.0413566206905593
root_mean_prior_squared_error
0.49663510423610374
root_mean_prior_squared_error
0.49663510423610374
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_squared_error
0.07286678593549048
root_mean_squared_error
0.012577607195578891
root_mean_squared_error
0.10495629788430148
root_mean_squared_error
0.13024122336020572
root_mean_squared_error
0.03563467741972899
root_mean_squared_error
0.1310137631788471
root_mean_squared_error
0.07259593329769612
root_mean_squared_error
0.05228793840946564
root_mean_squared_error
0.11822809390724408
root_mean_squared_error
0.09084381330660801
root_relative_squared_error
0.146720973434953
root_relative_squared_error
0.02532565074095006
root_relative_squared_error
0.21118208478935954
root_relative_squared_error
0.2620577671770071
root_relative_squared_error
0.07170037072563583
root_relative_squared_error
0.26361219099694144
root_relative_squared_error
0.14606994387260905
root_relative_squared_error
0.10520832065571739
root_relative_squared_error
0.23788620459466914
root_relative_squared_error
0.18278641940527435
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
0.9935064935064934 [0.987013,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9852243313201035 [0.986842,0.983607]
unweighted_recall
0.986842105263158 [0.973684,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9786453839516824 [0.973684,0.983607]
unweighted_recall
0.993421052631579 [0.986842,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9918032786885246 [1,0.983607]
unweighted_recall
0.993421052631579 [0.986842,1]
usercpu_time_millis
181.96312500001
usercpu_time_millis
190.37351500000455
usercpu_time_millis
148.0451160000058
usercpu_time_millis
174.59693899999706
usercpu_time_millis
137.30662400000426
usercpu_time_millis
182.1398239999894
usercpu_time_millis
128.68604699998798
usercpu_time_millis
158.54653399999563
usercpu_time_millis
136.96232500001315
usercpu_time_millis
137.47007999999994
usercpu_time_millis_testing
5.650693000006868
usercpu_time_millis_testing
5.8717900000004875
usercpu_time_millis_testing
5.64641500000107
usercpu_time_millis_testing
5.661220999996885
usercpu_time_millis_testing
5.619398000007436
usercpu_time_millis_testing
5.681864999999675
usercpu_time_millis_testing
5.73182399999439
usercpu_time_millis_testing
5.990448999995124
usercpu_time_millis_testing
5.645615000005932
usercpu_time_millis_testing
3.8106720000001815
usercpu_time_millis_training
176.31243200000313
usercpu_time_millis_training
184.50172500000406
usercpu_time_millis_training
142.39870100000473
usercpu_time_millis_training
168.93571800000018
usercpu_time_millis_training
131.68722599999683
usercpu_time_millis_training
176.45795899998973
usercpu_time_millis_training
122.95422299999359
usercpu_time_millis_training
152.5560850000005
usercpu_time_millis_training
131.31671000000722
usercpu_time_millis_training
133.65940799999976
wall_clock_time_millis
182.76500701904297
wall_clock_time_millis
198.61912727355957
wall_clock_time_millis
157.55772590637207
wall_clock_time_millis
187.16740608215332
wall_clock_time_millis
140.5353546142578
wall_clock_time_millis
195.38259506225586
wall_clock_time_millis
130.63979148864746
wall_clock_time_millis
160.97283363342285
wall_clock_time_millis
137.25638389587402
wall_clock_time_millis
137.91370391845703
wall_clock_time_millis_testing
5.736351013183594
wall_clock_time_millis_testing
5.877494812011719
wall_clock_time_millis_testing
5.652189254760742
wall_clock_time_millis_testing
5.660533905029297
wall_clock_time_millis_testing
5.645036697387695
wall_clock_time_millis_testing
5.689382553100586
wall_clock_time_millis_testing
5.757570266723633
wall_clock_time_millis_testing
8.096694946289062
wall_clock_time_millis_testing
5.652666091918945
wall_clock_time_millis_testing
3.8166046142578125
wall_clock_time_millis_training
177.02865600585938
wall_clock_time_millis_training
192.74163246154785
wall_clock_time_millis_training
151.90553665161133
wall_clock_time_millis_training
181.50687217712402
wall_clock_time_millis_training
134.89031791687012
wall_clock_time_millis_training
189.69321250915527
wall_clock_time_millis_training
124.88222122192383
wall_clock_time_millis_training
152.8761386871338
wall_clock_time_millis_training
131.60371780395508
wall_clock_time_millis_training
134.09709930419922
weighted_recall
0.9927536231884058 [0.987013,1]
weighted_recall
1 [1,1]
weighted_recall
0.9854014598540146 [0.986842,0.983607]
weighted_recall
0.9854014598540146 [0.973684,1]
weighted_recall
1 [1,1]
weighted_recall
0.9781021897810219 [0.973684,0.983607]
weighted_recall
0.9927007299270073 [0.986842,1]
weighted_recall
1 [1,1]
weighted_recall
0.9927007299270073 [1,0.983607]
weighted_recall
0.9927007299270073 [0.986842,1]