10586463
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)
8302745
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
0.778980110002288
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1773
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
49
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
2
19040
random_state
2268
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.31105249926051864
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
22099196
description
https://api.openml.org/data/download/22099196/description.xml
-1
22099197
predictions
https://api.openml.org/data/download/22099197/predictions.arff
area_under_roc_curve
0.9912239790906698 [0.991224,0.991224]
average_cost
0
f_measure
0.9601722409485811 [0.930083,0.972203]
kappa
0.9022862657368739
kb_relative_information_score
0.8636572188002514
mean_absolute_error
0.056371939308168896
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9602205135644857 [0.926351,0.973762]
number_of_instances
34465 [9844,24621]
precision
0.9601361558053998 [0.933845,0.970648]
predictive_accuracy
0.9602205135644857
prior_entropy
0.8629999933345911
relative_absolute_error
0.13813590473587387
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.17288909510004716
root_relative_squared_error
0.3827429829699631
total_cost
0
unweighted_recall
0.9500566561440392 [0.926351,0.973762]
area_under_roc_curve
0.9924547943713297 [0.992455,0.992455]
area_under_roc_curve
0.9914097325025669 [0.99141,0.99141]
area_under_roc_curve
0.989077016333549 [0.989077,0.989077]
area_under_roc_curve
0.9914396285468048 [0.99144,0.99144]
area_under_roc_curve
0.9920657960388772 [0.992066,0.992066]
area_under_roc_curve
0.990920528620396 [0.990921,0.990921]
area_under_roc_curve
0.9903684376506641 [0.990368,0.990368]
area_under_roc_curve
0.9933012274375382 [0.993301,0.993301]
area_under_roc_curve
0.9885788373521427 [0.988579,0.988579]
area_under_roc_curve
0.9925078675543051 [0.992508,0.992508]
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
0.9648592657821392 [0.938297,0.975471]
f_measure
0.9631168276365625 [0.935303,0.974245]
f_measure
0.9571797260923269 [0.925553,0.969833]
f_measure
0.9604724584443989 [0.930541,0.972447]
f_measure
0.9543760338135638 [0.919857,0.968186]
f_measure
0.9583537209535051 [0.926478,0.971094]
f_measure
0.9593483029571597 [0.928717,0.971591]
f_measure
0.9640162507254788 [0.936992,0.974817]
f_measure
0.9578377272842257 [0.925831,0.97063]
f_measure
0.9621577463303701 [0.933265,0.973706]
kappa
0.9137685397732523
kappa
0.909548140512389
kappa
0.8953896528121529
kappa
0.9029901399217287
kappa
0.8880448946635766
kappa
0.8975773722351618
kappa
0.9003079781720678
kappa
0.9118090916896171
kappa
0.8964629521496261
kappa
0.9069742523137034
kb_relative_information_score
0.8735734202414327
kb_relative_information_score
0.8668211639693253
kb_relative_information_score
0.8562252349719948
kb_relative_information_score
0.8621156151139914
kb_relative_information_score
0.8590693580238364
kb_relative_information_score
0.853589225084885
kb_relative_information_score
0.8629036627357362
kb_relative_information_score
0.8744193063651852
kb_relative_information_score
0.8591170202050242
kb_relative_information_score
0.8687428841079501
mean_absolute_error
0.05266182740976246
mean_absolute_error
0.05565735500592513
mean_absolute_error
0.05904484357772568
mean_absolute_error
0.057240945406945645
mean_absolute_error
0.05735479155835252
mean_absolute_error
0.06042339342936045
mean_absolute_error
0.056183819937983964
mean_absolute_error
0.05202819566391091
mean_absolute_error
0.05861186125576269
mean_absolute_error
0.054512330797535175
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
0.9648311527352191 [0.941658,0.974089]
precision
0.9630868893515487 [0.93865,0.972864]
precision
0.9573573565423636 [0.917248,0.973404]
precision
0.9604277016175419 [0.93628,0.970089]
precision
0.9543223672592229 [0.925051,0.966033]
precision
0.958308823300407 [0.937565,0.9666]
precision
0.959326534329878 [0.930612,0.970803]
precision
0.9640162507254788 [0.936992,0.974817]
precision
0.9577862229733651 [0.932029,0.968081]
precision
0.9621193477920484 [0.942946,0.969782]
predictive_accuracy
0.964897011894401
predictive_accuracy
0.9631563678561068
predictive_accuracy
0.9570641137220771
predictive_accuracy
0.9605454017986655
predictive_accuracy
0.954453147664636
predictive_accuracy
0.9585026117237376
predictive_accuracy
0.9593731863029599
predictive_accuracy
0.9640162507254789
predictive_accuracy
0.9579222286709228
predictive_accuracy
0.9622751015670343
prior_entropy
0.862791736866817
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
relative_absolute_error
0.12906586036681708
relative_absolute_error
0.13636585926452777
relative_absolute_error
0.14466553124486486
relative_absolute_error
0.14024580766910488
relative_absolute_error
0.14052474166190612
relative_absolute_error
0.1480753495270747
relative_absolute_error
0.13768572572490922
relative_absolute_error
0.12750183034991758
relative_absolute_error
0.14363595536927015
relative_absolute_error
0.1335895251533207
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
0.4516752654560011
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
0.16444148457284777
root_mean_squared_error
0.17069459719974345
root_mean_squared_error
0.1794167558420344
root_mean_squared_error
0.17203440415227972
root_mean_squared_error
0.17875739001310703
root_mean_squared_error
0.17944028917857163
root_mean_squared_error
0.17260054084677529
root_mean_squared_error
0.16547019804887483
root_mean_squared_error
0.17526987818803538
root_mean_squared_error
0.16999563549414323
root_relative_squared_error
0.3641018507323635
root_relative_squared_error
0.3778321447986799
root_relative_squared_error
0.39713862526820987
root_relative_squared_error
0.38079780477150604
root_relative_squared_error
0.39567912034281927
root_relative_squared_error
0.3972772097613377
root_relative_squared_error
0.38213414381352423
root_relative_squared_error
0.36634770753235707
root_relative_squared_error
0.3880440032754215
root_relative_squared_error
0.37636693548520855
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
0.9559084202291475 [0.934959,0.976857]
unweighted_recall
0.9538046324435996 [0.93198,0.97563]
unweighted_recall
0.9501488616823432 [0.93401,0.966288]
unweighted_recall
0.9498451591088093 [0.924873,0.974817]
unweighted_recall
0.9425350608436045 [0.914721,0.970349]
unweighted_recall
0.945639987979896 [0.91565,0.97563]
unweighted_recall
0.9496047235045868 [0.926829,0.97238]
unweighted_recall
0.9559045458448086 [0.936992,0.974817]
unweighted_recall
0.9464539867778856 [0.919715,0.973193]
unweighted_recall
0.950720463236314 [0.92378,0.97766]
usercpu_time_millis
13581.792377997772
usercpu_time_millis
11529.394098000921
usercpu_time_millis
12183.282873997086
usercpu_time_millis
8525.134338000498
usercpu_time_millis
11788.289403000817
usercpu_time_millis
9412.008695002442
usercpu_time_millis
12057.40226400303
usercpu_time_millis
12591.247448002832
usercpu_time_millis
9856.704335998074
usercpu_time_millis
10265.566661997582
usercpu_time_millis_testing
72.00107899916475
usercpu_time_millis_testing
71.86616200124263
usercpu_time_millis_testing
71.43758799793432
usercpu_time_millis_testing
69.34508199992706
usercpu_time_millis_testing
69.81799500135821
usercpu_time_millis_testing
70.4163830014295
usercpu_time_millis_testing
70.42930200259434
usercpu_time_millis_testing
71.86528199963504
usercpu_time_millis_testing
72.53522599785356
usercpu_time_millis_testing
41.305153998109745
usercpu_time_millis_training
13509.791298998607
usercpu_time_millis_training
11457.527935999678
usercpu_time_millis_training
12111.845285999152
usercpu_time_millis_training
8455.789256000571
usercpu_time_millis_training
11718.47140799946
usercpu_time_millis_training
9341.592312001012
usercpu_time_millis_training
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usercpu_time_millis_training
12519.382166003197
usercpu_time_millis_training
9784.16911000022
usercpu_time_millis_training
10224.261507999472
wall_clock_time_millis
13835.067510604858
wall_clock_time_millis
11752.441883087158
wall_clock_time_millis
12418.445825576782
wall_clock_time_millis
8682.94644355774
wall_clock_time_millis
11973.331689834595
wall_clock_time_millis
9631.151914596558
wall_clock_time_millis
12282.201528549194
wall_clock_time_millis
12845.192432403564
wall_clock_time_millis
9979.673862457275
wall_clock_time_millis
10467.52953529358
wall_clock_time_millis_testing
72.30305671691895
wall_clock_time_millis_testing
75.52814483642578
wall_clock_time_millis_testing
85.09135246276855
wall_clock_time_millis_testing
69.6256160736084
wall_clock_time_millis_testing
70.80221176147461
wall_clock_time_millis_testing
70.6336498260498
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
85.78634262084961
wall_clock_time_millis_testing
72.62897491455078
wall_clock_time_millis_testing
41.35942459106445
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
12333.354473114014
wall_clock_time_millis_training
8613.32082748413
wall_clock_time_millis_training
11902.52947807312
wall_clock_time_millis_training
9560.518264770508
wall_clock_time_millis_training
12211.596965789795
wall_clock_time_millis_training
12759.406089782715
wall_clock_time_millis_training
9907.044887542725
wall_clock_time_millis_training
10426.170110702515
weighted_recall
0.9648970118944009 [0.934959,0.976857]
weighted_recall
0.9631563678561068 [0.93198,0.97563]
weighted_recall
0.9570641137220771 [0.93401,0.966288]
weighted_recall
0.9605454017986655 [0.924873,0.974817]
weighted_recall
0.954453147664636 [0.914721,0.970349]
weighted_recall
0.9585026117237376 [0.91565,0.97563]
weighted_recall
0.95937318630296 [0.926829,0.97238]
weighted_recall
0.9640162507254788 [0.936992,0.974817]
weighted_recall
0.9579222286709228 [0.919715,0.973193]
weighted_recall
0.9622751015670342 [0.92378,0.97766]