10586409
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)
8302691
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
0.30472225797399605
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
906
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
34
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
8929
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.05197744965023932
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
22099086
description
https://api.openml.org/data/download/22099086/description.xml
-1
22099087
predictions
https://api.openml.org/data/download/22099087/predictions.arff
area_under_roc_curve
0.9933886091860447 [0.993389,0.993389]
average_cost
0
f_measure
0.9644179613987771 [0.937554,0.975159]
kappa
0.9127132973258084
kb_relative_information_score
0.869289396259962
mean_absolute_error
0.05541300464408229
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.964456695198027 [0.934173,0.976565]
number_of_instances
34465 [9844,24621]
precision
0.9643891315956424 [0.94096,0.973757]
predictive_accuracy
0.9644566951980269
prior_entropy
0.8629999933345911
relative_absolute_error
0.13578609543302098
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.16189083778323043
root_relative_squared_error
0.3583949706764539
total_cost
0
unweighted_recall
0.9553689107693437 [0.934173,0.976565]
area_under_roc_curve
0.9936111358677532 [0.993611,0.993611]
area_under_roc_curve
0.9934321483503569 [0.993432,0.993432]
area_under_roc_curve
0.9916381795164676 [0.991638,0.991638]
area_under_roc_curve
0.9954026069350577 [0.995403,0.995403]
area_under_roc_curve
0.9929981402598687 [0.992998,0.992998]
area_under_roc_curve
0.9936009044798004 [0.993601,0.993601]
area_under_roc_curve
0.99245915971548 [0.992459,0.992459]
area_under_roc_curve
0.994922826969943 [0.994923,0.994923]
area_under_roc_curve
0.9917427829842879 [0.991743,0.991743]
area_under_roc_curve
0.9943901365800822 [0.99439,0.99439]
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
0.9666120815499751 [0.941416,0.976678]
f_measure
0.9660210144368331 [0.940397,0.976273]
f_measure
0.9602973659380695 [0.930703,0.972137]
f_measure
0.9686684073107049 [0.945178,0.978067]
f_measure
0.9645961052146634 [0.938008,0.975233]
f_measure
0.9609810120194364 [0.931141,0.972907]
f_measure
0.9632068433586349 [0.935826,0.97415]
f_measure
0.9677341123417086 [0.943281,0.977508]
f_measure
0.9616357188205604 [0.932584,0.973247]
f_measure
0.9644183405566381 [0.936983,0.975383]
kappa
0.9180945698252548
kappa
0.9166703341728307
kappa
0.9028410574348743
kappa
0.9232442774847736
kappa
0.9132416210147496
kappa
0.9040530263677354
kappa
0.9099775088789944
kappa
0.9207891226223132
kappa
0.9058321029406041
kappa
0.9123761963517524
kb_relative_information_score
0.8714350225201051
kb_relative_information_score
0.8664209673001902
kb_relative_information_score
0.8592468636862337
kb_relative_information_score
0.8807844014867061
kb_relative_information_score
0.8661271454300496
kb_relative_information_score
0.863678737736053
kb_relative_information_score
0.866148061355287
kb_relative_information_score
0.876863350362116
kb_relative_information_score
0.8684489878945197
kb_relative_information_score
0.8737428579609805
mean_absolute_error
0.05466668778467796
mean_absolute_error
0.0571719684947911
mean_absolute_error
0.05878041558052316
mean_absolute_error
0.051415430908855184
mean_absolute_error
0.056870176609395355
mean_absolute_error
0.057589604057922836
mean_absolute_error
0.056405578447997706
mean_absolute_error
0.05226420537355069
mean_absolute_error
0.05560957811339577
mean_absolute_error
0.05335586721708536
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
0.9665914293702689 [0.94382,0.975689]
precision
0.9659942324154872 [0.943763,0.974889]
precision
0.960348920356034 [0.927419,0.973523]
precision
0.9686684073107049 [0.945178,0.978067]
precision
0.9645860891777107 [0.938962,0.974838]
precision
0.9609431677235557 [0.941788,0.968599]
precision
0.9632915009149062 [0.930653,0.976336]
precision
0.9677034440777482 [0.948613,0.975334]
precision
0.9615963242776908 [0.937372,0.971278]
precision
0.9644443894627674 [0.952731,0.969126]
predictive_accuracy
0.9666376559326951
predictive_accuracy
0.9660574412532636
predictive_accuracy
0.9602552944589497
predictive_accuracy
0.9686684073107049
predictive_accuracy
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predictive_accuracy
0.9611143354614045
predictive_accuracy
0.9631456761462566
predictive_accuracy
0.9677887405687754
predictive_accuracy
0.9616947185142193
predictive_accuracy
0.9645966337782937
prior_entropy
0.862791736866817
prior_entropy
0.863175399426382
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
0.862901291120622
prior_entropy
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prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
relative_absolute_error
0.1339794579750125
relative_absolute_error
0.14007680761701174
relative_absolute_error
0.14401765728376337
relative_absolute_error
0.1259727382768296
relative_absolute_error
0.1393373885453244
relative_absolute_error
0.14113078173890017
relative_absolute_error
0.13822917366811813
relative_absolute_error
0.12808020270312792
relative_absolute_error
0.13627847177800256
relative_absolute_error
0.13075546140463973
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
0.45177362368332785
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
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_squared_error
0.16145299194229118
root_mean_squared_error
0.16288776378425068
root_mean_squared_error
0.1704509673878662
root_mean_squared_error
0.14994807990002876
root_mean_squared_error
0.16568769852156917
root_mean_squared_error
0.16429695381771306
root_mean_squared_error
0.16354637589687634
root_mean_squared_error
0.15524301398271528
root_mean_squared_error
0.1641511475811157
root_mean_squared_error
0.16034185858750274
root_relative_squared_error
0.3574848118476066
root_relative_squared_error
0.36055173486274045
root_relative_squared_error
0.3772928707040771
root_relative_squared_error
0.33190977082171436
root_relative_squared_error
0.3667493847266048
root_relative_squared_error
0.36375016828039625
root_relative_squared_error
0.36208840378222534
root_relative_squared_error
0.34370492664898417
root_relative_squared_error
0.3634273561900549
root_relative_squared_error
0.35499366657951753
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
0.9583469494865472 [0.939024,0.97767]
unweighted_recall
0.9573581381156008 [0.937056,0.97766]
unweighted_recall
0.9523828178155682 [0.93401,0.970755]
unweighted_recall
0.9616221387423869 [0.945178,0.978067]
unweighted_recall
0.9563427035095895 [0.937056,0.97563]
unweighted_recall
0.9489929860712092 [0.920732,0.977254]
unweighted_recall
0.956515457721596 [0.941057,0.971974]
unweighted_recall
0.9588497189805367 [0.938008,0.979691]
unweighted_recall
0.9515344620343036 [0.927846,0.975223]
unweighted_recall
0.9517350722857351 [0.921748,0.981722]
usercpu_time_millis
43192.13101799869
usercpu_time_millis
32756.737116000295
usercpu_time_millis
44027.44832100143
usercpu_time_millis
44755.242757000815
usercpu_time_millis
33706.25101100086
usercpu_time_millis
40468.85752900016
usercpu_time_millis
37510.62419200025
usercpu_time_millis
38106.57725300189
usercpu_time_millis
43562.93402299889
usercpu_time_millis
37396.76543099995
usercpu_time_millis_testing
75.77236999895831
usercpu_time_millis_testing
75.74623999971664
usercpu_time_millis_testing
78.22299899999052
usercpu_time_millis_testing
78.38513900060207
usercpu_time_millis_testing
76.71337500141817
usercpu_time_millis_testing
75.70077699892863
usercpu_time_millis_testing
77.53320799929497
usercpu_time_millis_testing
77.61313600167341
usercpu_time_millis_testing
79.26384500024142
usercpu_time_millis_testing
47.342670000944054
usercpu_time_millis_training
43116.35864799973
usercpu_time_millis_training
32680.99087600058
usercpu_time_millis_training
43949.22532200144
usercpu_time_millis_training
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usercpu_time_millis_training
33629.53763599944
usercpu_time_millis_training
40393.15675200123
usercpu_time_millis_training
37433.090984000955
usercpu_time_millis_training
38028.964117000214
usercpu_time_millis_training
43483.67017799865
usercpu_time_millis_training
37349.422760999005
wall_clock_time_millis
43964.23959732056
wall_clock_time_millis
33327.52180099487
wall_clock_time_millis
44822.75938987732
wall_clock_time_millis
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wall_clock_time_millis
34169.886350631714
wall_clock_time_millis
41365.23723602295
wall_clock_time_millis
38139.57691192627
wall_clock_time_millis
38858.521938323975
wall_clock_time_millis
44348.56963157654
wall_clock_time_millis
37939.18561935425
wall_clock_time_millis_testing
75.9284496307373
wall_clock_time_millis_testing
76.09248161315918
wall_clock_time_millis_testing
78.47023010253906
wall_clock_time_millis_testing
79.73146438598633
wall_clock_time_millis_testing
76.72739028930664
wall_clock_time_millis_testing
75.81067085266113
wall_clock_time_millis_testing
77.8961181640625
wall_clock_time_millis_testing
77.82530784606934
wall_clock_time_millis_testing
82.54528045654297
wall_clock_time_millis_testing
47.39546775817871
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
44744.28915977478
wall_clock_time_millis_training
45608.09564590454
wall_clock_time_millis_training
34093.15896034241
wall_clock_time_millis_training
41289.42656517029
wall_clock_time_millis_training
38061.68079376221
wall_clock_time_millis_training
38780.696630477905
wall_clock_time_millis_training
44266.024351119995
wall_clock_time_millis_training
37891.79015159607
weighted_recall
0.9666376559326951 [0.939024,0.97767]
weighted_recall
0.9660574412532638 [0.937056,0.97766]
weighted_recall
0.9602552944589499 [0.93401,0.970755]
weighted_recall
0.9686684073107049 [0.945178,0.978067]
weighted_recall
0.9646069045546852 [0.937056,0.97563]
weighted_recall
0.9611143354614046 [0.920732,0.977254]
weighted_recall
0.9631456761462566 [0.941057,0.971974]
weighted_recall
0.9677887405687754 [0.938008,0.979691]
weighted_recall
0.9616947185142194 [0.927846,0.975223]
weighted_recall
0.9645966337782936 [0.921748,0.981722]