10558847
8323
Heinrich Peters
14952
Supervised Classification
18608
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275983
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"most_frequent"
17407
verbose
0
17407
categorical_features
null
17408
categories
null
17408
drop
null
17408
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
17408
handle_unknown
"ignore"
17408
n_values
null
17408
sparse
true
17408
C
12740.8111607
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
920
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"liblinear"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
memory
null
18608
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}]
18608
verbose
false
18608
openml-python
Sklearn_0.21.2.
4534
PhishingWebsites
https://www.openml.org/data/download/1798106/phpV5QYya
-1
22042658
description
https://api.openml.org/data/download/22042658/description.xml
-1
22042659
predictions
https://api.openml.org/data/download/22042659/predictions.arff
area_under_roc_curve
0.9867605635390752 [0.986761,0.986761]
average_cost
0
f_measure
0.9395139175426137 [0.931177,0.946146]
kappa
0.8773312492809464
kb_relative_information_score
0.8343781518830704
mean_absolute_error
0.0865947302770579
mean_prior_absolute_error
0.4935162627341074
weighted_recall
0.9395748530076888 [0.922621,0.953062]
number_of_instances
11055 [4898,6157]
precision
0.9395794199121661 [0.939892,0.939331]
predictive_accuracy
0.9395748530076888
prior_entropy
0.990623923051704
relative_absolute_error
0.17546479582520402
root_mean_prior_squared_error
0.49674696272345925
root_mean_squared_error
0.21099183357665208
root_relative_squared_error
0.42474710347471606
total_cost
0
unweighted_recall
0.9378415170534615 [0.922621,0.953062]
area_under_roc_curve
0.9852951895043732 [0.985295,0.985295]
area_under_roc_curve
0.9894530214683276 [0.989453,0.989453]
area_under_roc_curve
0.9883994831698913 [0.988399,0.988399]
area_under_roc_curve
0.9885568513119533 [0.988557,0.988557]
area_under_roc_curve
0.9819324807845216 [0.981932,0.981932]
area_under_roc_curve
0.988604825644703 [0.988605,0.988605]
area_under_roc_curve
0.9872354128489099 [0.987235,0.987235]
area_under_roc_curve
0.9878098556495769 [0.98781,0.98781]
area_under_roc_curve
0.9852762568442011 [0.985276,0.985276]
area_under_roc_curve
0.9849693047950888 [0.984969,0.984969]
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
0.9356918728645213 [0.926425,0.943063]
f_measure
0.9430438708315294 [0.93578,0.948822]
f_measure
0.9384010687913203 [0.929461,0.945513]
f_measure
0.9493099304162063 [0.942268,0.954911]
f_measure
0.9257382199446227 [0.915114,0.934189]
f_measure
0.9410240059667235 [0.932079,0.948125]
f_measure
0.9430261157176654 [0.936041,0.948571]
f_measure
0.9483645802105459 [0.941298,0.953995]
f_measure
0.938435173244005 [0.930328,0.944895]
f_measure
0.932058658171771 [0.92276,0.939467]
kappa
0.869512620681633
kappa
0.8846020079296993
kappa
0.8750000000000001
kappa
0.897188008366256
kappa
0.8493278131832348
kappa
0.8802479571710341
kappa
0.8846167233237808
kappa
0.8952998379254457
kappa
0.8752241780139488
kappa
0.8622366288492707
kb_relative_information_score
0.824165897729625
kb_relative_information_score
0.8418977412894764
kb_relative_information_score
0.8363877573700533
kb_relative_information_score
0.8531718863816828
kb_relative_information_score
0.8130896742870047
kb_relative_information_score
0.834945450756276
kb_relative_information_score
0.8390120839245069
kb_relative_information_score
0.8501137416683849
kb_relative_information_score
0.8267244294524416
kb_relative_information_score
0.8242768747703637
mean_absolute_error
0.09184330143910151
mean_absolute_error
0.08252489131508611
mean_absolute_error
0.08508814464252538
mean_absolute_error
0.07683981457340527
mean_absolute_error
0.09642095024457305
mean_absolute_error
0.08674696713209337
mean_absolute_error
0.08504009926646368
mean_absolute_error
0.07918938020851207
mean_absolute_error
0.09066525832742445
mean_absolute_error
0.0915887277925908
mean_prior_absolute_error
0.4935140463169444
mean_prior_absolute_error
0.4935140463169444
mean_prior_absolute_error
0.4935140463169444
mean_prior_absolute_error
0.4935140463169444
mean_prior_absolute_error
0.4935140463169444
mean_prior_absolute_error
0.4934566542682659
mean_prior_absolute_error
0.4934566542682659
mean_prior_absolute_error
0.4935596990829386
mean_prior_absolute_error
0.4935596990829386
mean_prior_absolute_error
0.4935596990829386
number_of_instances
1106 [490,616]
number_of_instances
1106 [490,616]
number_of_instances
1106 [490,616]
number_of_instances
1106 [490,616]
number_of_instances
1106 [490,616]
number_of_instances
1105 [489,616]
number_of_instances
1105 [489,616]
number_of_instances
1105 [490,615]
number_of_instances
1105 [490,615]
number_of_instances
1105 [490,615]
precision
0.935929454320469 [0.941053,0.931854]
precision
0.9430513260506552 [0.934827,0.949593]
precision
0.9386850397906319 [0.945148,0.933544]
precision
0.9494104790984215 [0.952083,0.947284]
precision
0.9259192284508739 [0.928571,0.92381]
precision
0.941565975502627 [0.952991,0.932496]
precision
0.9431421832872791 [0.929435,0.954023]
precision
0.9484406308501332 [0.950104,0.947115]
precision
0.9384337183655078 [0.934156,0.941842]
precision
0.9321161136771998 [0.931393,0.932692]
predictive_accuracy
0.9358047016274864
predictive_accuracy
0.9430379746835443
predictive_accuracy
0.9385171790235082
predictive_accuracy
0.949367088607595
predictive_accuracy
0.9258589511754068
predictive_accuracy
0.9411764705882354
predictive_accuracy
0.9429864253393666
predictive_accuracy
0.9484162895927603
predictive_accuracy
0.9384615384615383
predictive_accuracy
0.9321266968325791
prior_entropy
0.9906174999681369
prior_entropy
0.9906174999681369
prior_entropy
0.9906174999681369
prior_entropy
0.9906174999681369
prior_entropy
0.9906174999681369
prior_entropy
0.9904511802323728
prior_entropy
0.9904511802323728
prior_entropy
0.9907497997579492
prior_entropy
0.9907497997579492
prior_entropy
0.9907497997579492
relative_absolute_error
0.18610068370803357
relative_absolute_error
0.167218931114449
relative_absolute_error
0.17241281231513336
relative_absolute_error
0.1556993466484989
relative_absolute_error
0.19537630380361987
relative_absolute_error
0.17579450268175673
relative_absolute_error
0.172335500050288
relative_absolute_error
0.16044539364873256
relative_absolute_error
0.1836966399320802
relative_absolute_error
0.18556767897129312
root_mean_prior_squared_error
0.4967447317866721
root_mean_prior_squared_error
0.4967447317866721
root_mean_prior_squared_error
0.4967447317866721
root_mean_prior_squared_error
0.4967447317866721
root_mean_prior_squared_error
0.4967447317866721
root_mean_prior_squared_error
0.4966869602769276
root_mean_prior_squared_error
0.4966869602769276
root_mean_prior_squared_error
0.4967906815992094
root_mean_prior_squared_error
0.4967906815992094
root_mean_prior_squared_error
0.4967906815992094
root_mean_squared_error
0.21763670861107584
root_mean_squared_error
0.20530267911584635
root_mean_squared_error
0.20948982127513202
root_mean_squared_error
0.19851823259466939
root_mean_squared_error
0.22920856580331267
root_mean_squared_error
0.20608171947640475
root_mean_squared_error
0.20415652555459218
root_mean_squared_error
0.20102964274553875
root_mean_squared_error
0.21614689276287533
root_mean_squared_error
0.220327291298139
root_relative_squared_error
0.4381258515380497
root_relative_squared_error
0.41329613779178226
root_relative_squared_error
0.42172530048108847
root_relative_squared_error
0.3996383250621436
root_relative_squared_error
0.4614212313413053
root_relative_squared_error
0.41491268335593906
root_relative_squared_error
0.41103661235794225
root_relative_squared_error
0.4046566294247067
root_relative_squared_error
0.43508644740895897
root_relative_squared_error
0.44350125608010116
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
0.9333951762523192 [0.912245,0.954545]
unweighted_recall
0.9423933209647495 [0.936735,0.948052]
unweighted_recall
0.936038961038961 [0.914286,0.957792]
unweighted_recall
0.9476576994434137 [0.932653,0.962662]
unweighted_recall
0.9234230055658628 [0.902041,0.944805]
unweighted_recall
0.9381755769792579 [0.912065,0.964286]
unweighted_recall
0.9429610522401934 [0.94274,0.943182]
unweighted_recall
0.9468143354902936 [0.932653,0.960976]
unweighted_recall
0.9372490459598474 [0.926531,0.947967]
unweighted_recall
0.9303135888501741 [0.914286,0.946341]
usercpu_time_millis
385.1919999997335
usercpu_time_millis
388.34200000201236
usercpu_time_millis
429.1579999990063
usercpu_time_millis
396.7659999998432
usercpu_time_millis
469.4759999983944
usercpu_time_millis
438.3979999984149
usercpu_time_millis
495.40199999864853
usercpu_time_millis
453.8140000004205
usercpu_time_millis
550.4999999993743
usercpu_time_millis
536.1339999981283
usercpu_time_millis_testing
14.815999998972984
usercpu_time_millis_testing
13.898000001063338
usercpu_time_millis_testing
16.834000000017113
usercpu_time_millis_testing
12.81600000038452
usercpu_time_millis_testing
15.201999998680549
usercpu_time_millis_testing
14.585999999326305
usercpu_time_millis_testing
30.715999999301857
usercpu_time_millis_testing
15.7679999992979
usercpu_time_millis_testing
25.92199999889999
usercpu_time_millis_testing
21.00799999971059
usercpu_time_millis_training
370.37600000076054
usercpu_time_millis_training
374.444000000949
usercpu_time_millis_training
412.32399999898917
usercpu_time_millis_training
383.94999999945867
usercpu_time_millis_training
454.27399999971385
usercpu_time_millis_training
423.8119999990886
usercpu_time_millis_training
464.6859999993467
usercpu_time_millis_training
438.0460000011226
usercpu_time_millis_training
524.5780000004743
usercpu_time_millis_training
515.1259999984177
wall_clock_time_millis
235.1219654083252
wall_clock_time_millis
221.0831642150879
wall_clock_time_millis
276.98516845703125
wall_clock_time_millis
220.27063369750977
wall_clock_time_millis
289.9782657623291
wall_clock_time_millis
251.89566612243652
wall_clock_time_millis
321.31099700927734
wall_clock_time_millis
248.45504760742188
wall_clock_time_millis
465.50679206848145
wall_clock_time_millis
397.2289562225342
wall_clock_time_millis_testing
8.597135543823242
wall_clock_time_millis_testing
7.140159606933594
wall_clock_time_millis_testing
10.12420654296875
wall_clock_time_millis_testing
6.441831588745117
wall_clock_time_millis_testing
8.271932601928711
wall_clock_time_millis_testing
7.950782775878906
wall_clock_time_millis_testing
19.78611946105957
wall_clock_time_millis_testing
8.062124252319336
wall_clock_time_millis_testing
39.63184356689453
wall_clock_time_millis_testing
14.405012130737305
wall_clock_time_millis_training
226.52482986450195
wall_clock_time_millis_training
213.9430046081543
wall_clock_time_millis_training
266.8609619140625
wall_clock_time_millis_training
213.82880210876465
wall_clock_time_millis_training
281.7063331604004
wall_clock_time_millis_training
243.94488334655762
wall_clock_time_millis_training
301.5248775482178
wall_clock_time_millis_training
240.39292335510254
wall_clock_time_millis_training
425.8749485015869
wall_clock_time_millis_training
382.8239440917969
weighted_recall
0.9358047016274864 [0.912245,0.954545]
weighted_recall
0.9430379746835443 [0.936735,0.948052]
weighted_recall
0.9385171790235082 [0.914286,0.957792]
weighted_recall
0.9493670886075949 [0.932653,0.962662]
weighted_recall
0.9258589511754068 [0.902041,0.944805]
weighted_recall
0.9411764705882353 [0.912065,0.964286]
weighted_recall
0.9429864253393665 [0.94274,0.943182]
weighted_recall
0.9484162895927601 [0.932653,0.960976]
weighted_recall
0.9384615384615385 [0.926531,0.947967]
weighted_recall
0.9321266968325792 [0.914286,0.946341]