10581268
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)
8297550
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
"most_frequent"
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
0.5688044878177637
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1376
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
22
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
17
19040
random_state
6020
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3227962239476216
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
22088803
description
https://api.openml.org/data/download/22088803/description.xml
-1
22088804
predictions
https://api.openml.org/data/download/22088804/predictions.arff
area_under_roc_curve
0.9999806376661934 [0.999981,0.999981]
average_cost
0
f_measure
0.9978135886319252 [0.99803,0.997543]
kappa
0.9955732034691631
kb_relative_information_score
0.9953286706996881
mean_absolute_error
0.0023449535444435153
mean_prior_absolute_error
0.49387203415364794
weighted_recall
0.9978134110787172 [0.997375,0.998361]
number_of_instances
1372 [762,610]
precision
0.9978148391122271 [0.998686,0.996727]
predictive_accuracy
0.9978134110787172
prior_entropy
0.9911281447384036
relative_absolute_error
0.004748099471682132
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.04289383749877333
root_relative_squared_error
0.08631904058554772
total_cost
0
unweighted_recall
0.9978679919108473 [0.997375,0.998361]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
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
0.9927593990347404 [0.993464,0.99187]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.9926944214777463 [0.993464,0.991736]
f_measure
1 [1,1]
f_measure
0.9927062319881188 [0.993377,0.99187]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
kappa
0.9853347502656747
kappa
1
kappa
1
kappa
0.9852003888948904
kappa
1
kappa
0.9852481964035749
kappa
1
kappa
1
kappa
1
kappa
1
kb_relative_information_score
0.9850363430224297
kb_relative_information_score
0.9993189761927401
kb_relative_information_score
0.9983669495943228
kb_relative_information_score
0.9867783910946599
kb_relative_information_score
0.999884142927995
kb_relative_information_score
0.985131668628002
kb_relative_information_score
0.999970030092164
kb_relative_information_score
0.9999415853696613
kb_relative_information_score
0.999691356474572
kb_relative_information_score
0.9992066417469404
mean_absolute_error
0.007387525598057958
mean_absolute_error
0.0004600648849905984
mean_absolute_error
0.0010409320027154998
mean_absolute_error
0.006354471920835009
mean_absolute_error
0.00007930699199732965
mean_absolute_error
0.0073071201217015
mean_absolute_error
0.000020574834214618577
mean_absolute_error
0.00004006156232158514
mean_absolute_error
0.0002099466786476684
mean_absolute_error
0.0005264820650543862
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
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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
1 [1,1]
precision
0.992795525642241 [0.987013,1]
precision
1 [1,1]
precision
0.9928184600894748 [1,0.983871]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
predictive_accuracy
0.9927536231884058
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9927007299270073
predictive_accuracy
1
predictive_accuracy
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predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
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
0.014967021088780442
relative_absolute_error
0.0009320848698882049
relative_absolute_error
0.0021073893925204583
relative_absolute_error
0.012864766080879952
relative_absolute_error
0.0001605587235783703
relative_absolute_error
0.014793423003784112
relative_absolute_error
0.000041654197645612026
relative_absolute_error
0.00008110550090117685
relative_absolute_error
0.0004250415996652974
relative_absolute_error
0.0010658743475592044
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
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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
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.0038078899257038903
root_mean_squared_error
0.012118445043331157
root_mean_squared_error
0.06770533563046117
root_mean_squared_error
0.0007764576723936031
root_mean_squared_error
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root_mean_squared_error
0.0001934873714792726
root_mean_squared_error
0.0003932942319391308
root_mean_squared_error
0.002050122411213976
root_mean_squared_error
0.005965544877491603
root_relative_squared_error
0.16040378670578637
root_relative_squared_error
0.007667379718477558
root_relative_squared_error
0.02438346759788617
root_relative_squared_error
0.1362295947744428
root_relative_squared_error
0.0015623069154700106
root_relative_squared_error
0.17129103982994184
root_relative_squared_error
0.00038931505124589316
root_relative_squared_error
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root_relative_squared_error
0.004125041885059793
root_relative_squared_error
0.01200324544146859
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
1 [1,1]
unweighted_recall
0.9918032786885246 [1,0.983607]
unweighted_recall
1 [1,1]
unweighted_recall
0.993421052631579 [0.986842,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
usercpu_time_millis
205.04321300001038
usercpu_time_millis
203.23098999998024
usercpu_time_millis
230.7380149999858
usercpu_time_millis
111.58192999999983
usercpu_time_millis
170.79861900003834
usercpu_time_millis
171.49516500001027
usercpu_time_millis
203.04951100001745
usercpu_time_millis
173.690640000018
usercpu_time_millis
147.10530499999663
usercpu_time_millis
132.62733600001297
usercpu_time_millis_testing
5.845898000018224
usercpu_time_millis_testing
5.866865999990978
usercpu_time_millis_testing
5.863892999997233
usercpu_time_millis_testing
5.526811999999381
usercpu_time_millis_testing
5.605463000023292
usercpu_time_millis_testing
5.814906000011888
usercpu_time_millis_testing
5.65279800002827
usercpu_time_millis_testing
5.793699000008701
usercpu_time_millis_testing
5.604779999998755
usercpu_time_millis_testing
3.8298020000127053
usercpu_time_millis_training
199.19731499999216
usercpu_time_millis_training
197.36412399998926
usercpu_time_millis_training
224.87412199998857
usercpu_time_millis_training
106.05511800000045
usercpu_time_millis_training
165.19315600001505
usercpu_time_millis_training
165.6802589999984
usercpu_time_millis_training
197.39671299998918
usercpu_time_millis_training
167.8969410000093
usercpu_time_millis_training
141.50052499999788
usercpu_time_millis_training
128.79753400000027
wall_clock_time_millis
217.39649772644043
wall_clock_time_millis
206.43138885498047
wall_clock_time_millis
244.3070411682129
wall_clock_time_millis
111.90438270568848
wall_clock_time_millis
171.07367515563965
wall_clock_time_millis
184.39030647277832
wall_clock_time_millis
207.50975608825684
wall_clock_time_millis
176.649808883667
wall_clock_time_millis
150.9706974029541
wall_clock_time_millis
134.38796997070312
wall_clock_time_millis_testing
5.85174560546875
wall_clock_time_millis_testing
5.872488021850586
wall_clock_time_millis_testing
5.871295928955078
wall_clock_time_millis_testing
5.5332183837890625
wall_clock_time_millis_testing
5.612611770629883
wall_clock_time_millis_testing
5.822896957397461
wall_clock_time_millis_testing
5.666971206665039
wall_clock_time_millis_testing
5.811214447021484
wall_clock_time_millis_testing
5.610942840576172
wall_clock_time_millis_testing
3.835916519165039
wall_clock_time_millis_training
211.54475212097168
wall_clock_time_millis_training
200.55890083312988
wall_clock_time_millis_training
238.4357452392578
wall_clock_time_millis_training
106.37116432189941
wall_clock_time_millis_training
165.46106338500977
wall_clock_time_millis_training
178.56740951538086
wall_clock_time_millis_training
201.8427848815918
wall_clock_time_millis_training
170.8385944366455
wall_clock_time_millis_training
145.35975456237793
wall_clock_time_millis_training
130.5520534515381
weighted_recall
0.9927536231884058 [0.987013,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
0.9927007299270073 [1,0.983607]
weighted_recall
1 [1,1]
weighted_recall
0.9927007299270073 [0.986842,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]