10586613
28997
Marc Boel
9977
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)
8302895
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
"mean"
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
0.3296180756866918
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1309
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
106
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
9
19040
random_state
31181
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.012158707522642842
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
22099497
description
https://api.openml.org/data/download/22099497/description.xml
-1
22099498
predictions
https://api.openml.org/data/download/22099498/predictions.arff
area_under_roc_curve
0.9936170108037358 [0.993617,0.993617]
average_cost
0
f_measure
0.9651010401778201 [0.938696,0.975658]
kappa
0.9143553752537225
kb_relative_information_score
0.8713136589155797
mean_absolute_error
0.05454395770920973
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9651530538227187 [0.934072,0.97758]
number_of_instances
34465 [9844,24621]
precision
0.9650675603038231 [0.943367,0.973744]
predictive_accuracy
0.9651530538227188
prior_entropy
0.8629999933345911
relative_absolute_error
0.13365655037780655
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.16070690927909745
root_relative_squared_error
0.3557739821922883
total_cost
0
unweighted_recall
0.9558258150902093 [0.934072,0.97758]
area_under_roc_curve
0.9937159389864301 [0.993716,0.993716]
area_under_roc_curve
0.994197487082847 [0.994197,0.994197]
area_under_roc_curve
0.9929185549283114 [0.992919,0.992919]
area_under_roc_curve
0.9951869430573138 [0.995187,0.995187]
area_under_roc_curve
0.993290090595323 [0.99329,0.99329]
area_under_roc_curve
0.9923565843091412 [0.992357,0.992357]
area_under_roc_curve
0.9930203318077048 [0.99302,0.99302]
area_under_roc_curve
0.9953801853209433 [0.99538,0.99538]
area_under_roc_curve
0.9923636015401583 [0.992364,0.992364]
area_under_roc_curve
0.9939300951701637 [0.99393,0.99393]
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
0.9663061522053631 [0.940816,0.97649]
f_measure
0.966031473079206 [0.940458,0.976263]
f_measure
0.9654719648486529 [0.939563,0.975838]
f_measure
0.9671927902388914 [0.942494,0.977074]
f_measure
0.9657358749273712 [0.939919,0.976065]
f_measure
0.9588435713204305 [0.926981,0.971578]
f_measure
0.964038117859844 [0.93712,0.974797]
f_measure
0.9686593151479976 [0.945122,0.978067]
f_measure
0.9636304251088669 [0.93593,0.974701]
f_measure
0.9650576227039729 [0.938335,0.975738]
kappa
0.9173065373523996
kappa
0.9167211638829552
kappa
0.9154008022417726
kappa
0.9195683035792643
kappa
0.915983754702787
kappa
0.8985736442523062
kappa
0.9119165686825826
kappa
0.9231885637296664
kappa
0.9106344487343597
kappa
0.9140773370457332
kb_relative_information_score
0.8756236704722851
kb_relative_information_score
0.8727843443499753
kb_relative_information_score
0.8649572347355605
kb_relative_information_score
0.8790520279538001
kb_relative_information_score
0.8686849375975396
kb_relative_information_score
0.8521561410345094
kb_relative_information_score
0.8684163743414243
kb_relative_information_score
0.883679757033445
kb_relative_information_score
0.8731151338293526
kb_relative_information_score
0.8746661283139564
mean_absolute_error
0.0529012735165331
mean_absolute_error
0.053890813910392646
mean_absolute_error
0.05659887442861059
mean_absolute_error
0.051660502085940106
mean_absolute_error
0.05615962992630597
mean_absolute_error
0.06282340044287822
mean_absolute_error
0.055221278770387835
mean_absolute_error
0.049359167986317024
mean_absolute_error
0.05377428261605932
mean_absolute_error
0.053050791219087824
mean_prior_absolute_error
0.4080229059806574
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
number_of_instances
3447 [984,2463]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
precision
0.9662773732228607 [0.944672,0.974909]
precision
0.9660104199756063 [0.942857,0.975274]
precision
0.9654668990967038 [0.940041,0.975639]
precision
0.9671726336615215 [0.944898,0.976084]
precision
0.965711494627517 [0.942799,0.974878]
precision
0.9588758119862344 [0.94509,0.964386]
precision
0.964063107647628 [0.935223,0.97559]
precision
0.9686593151479976 [0.945122,0.978067]
precision
0.9635918636265106 [0.944157,0.971359]
precision
0.9650343129297935 [0.949064,0.971417]
predictive_accuracy
0.9663475485929794
predictive_accuracy
0.9660574412532636
predictive_accuracy
0.9654772265738323
predictive_accuracy
0.9672178706121265
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9640162507254789
predictive_accuracy
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predictive_accuracy
0.9637260591990714
predictive_accuracy
0.9651770168311086
prior_entropy
0.862791736866817
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
relative_absolute_error
0.12965270513278715
relative_absolute_error
0.13203766410698317
relative_absolute_error
0.1386726721749702
relative_absolute_error
0.12657318617164237
relative_absolute_error
0.13759648100531055
relative_absolute_error
0.1539568774788198
relative_absolute_error
0.13532689395898692
relative_absolute_error
0.12096103242668957
relative_absolute_error
0.13178084251838024
relative_absolute_error
0.13000783316875428
root_mean_prior_squared_error
0.4516359481339797
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.4516752654560011
root_mean_squared_error
0.1576540919343484
root_mean_squared_error
0.1589904040783824
root_mean_squared_error
0.16604707627604678
root_mean_squared_error
0.15366943656828796
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.16294230999034834
root_mean_squared_error
0.15053711974458187
root_mean_squared_error
0.16133667499902368
root_mean_squared_error
0.1599739144080362
root_relative_squared_error
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root_relative_squared_error
0.3519249370561466
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.3607510139521266
root_relative_squared_error
0.333286170967549
root_relative_squared_error
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root_relative_squared_error
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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
0.9575336937900438 [0.936992,0.978076]
unweighted_recall
0.9576626654075965 [0.938071,0.977254]
unweighted_recall
0.9575610188571877 [0.939086,0.976036]
unweighted_recall
0.959084067676397 [0.940102,0.978067]
unweighted_recall
0.9571550511943985 [0.937056,0.977254]
unweighted_recall
0.9442159028617094 [0.909553,0.978879]
unweighted_recall
0.9565146321650055 [0.939024,0.974005]
unweighted_recall
0.9615942818648333 [0.945122,0.978067]
unweighted_recall
0.9529560704827195 [0.927846,0.978067]
unweighted_recall
0.9539715050887309 [0.927846,0.980097]
usercpu_time_millis
46354.2220599993
usercpu_time_millis
46369.542412001465
usercpu_time_millis
46957.661026001006
usercpu_time_millis
46758.842502000334
usercpu_time_millis
35438.970304996474
usercpu_time_millis
25481.379836000997
usercpu_time_millis
37153.56024700304
usercpu_time_millis
46485.83651899753
usercpu_time_millis
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usercpu_time_millis
39305.103616999986
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
73.55467599700205
usercpu_time_millis_testing
71.77473499905318
usercpu_time_millis_testing
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usercpu_time_millis_testing
80.3185359982308
usercpu_time_millis_testing
79.69841099838959
usercpu_time_millis_testing
46.54769799890346
usercpu_time_millis_training
46276.78860699962
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
47175.1811504364
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
37744.12393569946
wall_clock_time_millis
47436.05613708496
wall_clock_time_millis
47554.70299720764
wall_clock_time_millis
39812.34693527222
wall_clock_time_millis_testing
77.70538330078125
wall_clock_time_millis_testing
81.01081848144531
wall_clock_time_millis_testing
80.17563819885254
wall_clock_time_millis_testing
77.18563079833984
wall_clock_time_millis_testing
73.76265525817871
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
47461.82894706726
wall_clock_time_millis_training
39765.78998565674
weighted_recall
0.9663475485929794 [0.936992,0.978076]
weighted_recall
0.9660574412532638 [0.938071,0.977254]
weighted_recall
0.9654772265738323 [0.939086,0.976036]
weighted_recall
0.9672178706121265 [0.940102,0.978067]
weighted_recall
0.965767333913548 [0.937056,0.977254]
weighted_recall
0.9590829947765526 [0.909553,0.978879]
weighted_recall
0.9640162507254788 [0.939024,0.974005]
weighted_recall
0.9686593151479976 [0.945122,0.978067]
weighted_recall
0.9637260591990714 [0.927846,0.978067]
weighted_recall
0.9651770168311086 [0.927846,0.980097]