10556789
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)
8275680
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
15.0
17462
class_weight
null
17462
dual
true
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
100
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
22038535
description
https://api.openml.org/data/download/22038535/description.xml
-1
22038536
predictions
https://api.openml.org/data/download/22038536/predictions.arff
area_under_roc_curve
0.986309888527985 [0.98631,0.98631]
average_cost
0
f_measure
0.9362852546820402 [0.92778,0.943051]
kappa
0.8708338132498108
kb_relative_information_score
0.8338411309407396
mean_absolute_error
0.08650922213124101
mean_prior_absolute_error
0.4935162627341074
weighted_recall
0.936318407960199 [0.923234,0.946727]
number_of_instances
11055 [4898,6157]
precision
0.9362878730449533 [0.932371,0.939404]
predictive_accuracy
0.936318407960199
prior_entropy
0.990623923051704
relative_absolute_error
0.17529153274904283
root_mean_prior_squared_error
0.49674696272345925
root_mean_squared_error
0.21333197129389878
root_relative_squared_error
0.429458028538891
total_cost
0
unweighted_recall
0.9349806376539087 [0.923234,0.946727]
area_under_roc_curve
0.984731977206467 [0.984732,0.984732]
area_under_roc_curve
0.9894364564007421 [0.989436,0.989436]
area_under_roc_curve
0.9883265968725153 [0.988327,0.988327]
area_under_roc_curve
0.9884707129605088 [0.988471,0.988471]
area_under_roc_curve
0.9819755499602439 [0.981976,0.981976]
area_under_roc_curve
0.988604825644703 [0.988605,0.988605]
area_under_roc_curve
0.987155737922609 [0.987156,0.987156]
area_under_roc_curve
0.9879857308777168 [0.987986,0.987986]
area_under_roc_curve
0.9840185830429734 [0.984019,0.984019]
area_under_roc_curve
0.984415131906421 [0.984415,0.984415]
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
0.9349005424954792 [0.926531,0.941558]
f_measure
0.9385866763951831 [0.931452,0.944262]
f_measure
0.9348426417434176 [0.925926,0.941935]
f_measure
0.9430553729664297 [0.93591,0.948739]
f_measure
0.9304403564079378 [0.922144,0.93704]
f_measure
0.9428386519369781 [0.934169,0.949721]
f_measure
0.9412386275527891 [0.934277,0.946765]
f_measure
0.9446553006298598 [0.936392,0.951239]
f_measure
0.9247358836023086 [0.913811,0.93344]
f_measure
0.9274658309907452 [0.917012,0.935795]
kappa
0.8680890538033394
kappa
0.8757286943647636
kappa
0.8678684259431332
kappa
0.8846501494889564
kappa
0.8591930742343926
kappa
0.8839326354119253
kappa
0.8810539128418716
kappa
0.8876723742865474
kappa
0.8472880156516672
kappa
0.8528383552522059
kb_relative_information_score
0.8166934550971745
kb_relative_information_score
0.8405725237606723
kb_relative_information_score
0.8381207919179207
kb_relative_information_score
0.8530532054677051
kb_relative_information_score
0.8101953630738404
kb_relative_information_score
0.8384887565603593
kb_relative_information_score
0.8399380148973397
kb_relative_information_score
0.8546563015464844
kb_relative_information_score
0.8235703263955765
kb_relative_information_score
0.8231339622801004
mean_absolute_error
0.09590891204471977
mean_absolute_error
0.08314017564055592
mean_absolute_error
0.08395559348697605
mean_absolute_error
0.07658384572505307
mean_absolute_error
0.09850084544410706
mean_absolute_error
0.08458881389359946
mean_absolute_error
0.0840912276840118
mean_absolute_error
0.07623248588530296
mean_absolute_error
0.09092433225987116
mean_absolute_error
0.09116097272180157
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
0.9349005424954792 [0.926531,0.941558]
precision
0.9388787377107382 [0.920319,0.953642]
precision
0.934883996546899 [0.93361,0.935897]
precision
0.9430867924373405 [0.933063,0.95106]
precision
0.9306251649964371 [0.913828,0.943987]
precision
0.9433867037939435 [0.955128,0.934066]
precision
0.941488770053476 [0.924,0.955372]
precision
0.9452110870559692 [0.957356,0.935535]
precision
0.9250306698617493 [0.930233,0.920886]
precision
0.9277257438126794 [0.932489,0.92393]
predictive_accuracy
0.9349005424954793
predictive_accuracy
0.9385171790235082
predictive_accuracy
0.9349005424954793
predictive_accuracy
0.9430379746835443
predictive_accuracy
0.9303797468354431
predictive_accuracy
0.9429864253393666
predictive_accuracy
0.9411764705882354
predictive_accuracy
0.9447963800904978
predictive_accuracy
0.9248868778280542
predictive_accuracy
0.927601809954751
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
0.19433876859327562
relative_absolute_error
0.16846567237756324
relative_absolute_error
0.17011794114783538
relative_absolute_error
0.15518068086732717
relative_absolute_error
0.19959076378719295
relative_absolute_error
0.1714209610143651
relative_absolute_error
0.17041259238606984
relative_absolute_error
0.15445443788653562
relative_absolute_error
0.18422154894091564
relative_absolute_error
0.18470100555451294
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
0.2218013071031574
root_mean_squared_error
0.20886592006571555
root_mean_squared_error
0.2093764999786227
root_mean_squared_error
0.20043854472340342
root_mean_squared_error
0.23157494363482173
root_mean_squared_error
0.2062299190259518
root_mean_squared_error
0.20588662659753482
root_mean_squared_error
0.20009180119980155
root_mean_squared_error
0.22211971021846255
root_mean_squared_error
0.2243809573436593
root_relative_squared_error
0.44650963142657013
root_relative_squared_error
0.4204693209618444
root_relative_squared_error
0.42149717265353864
root_relative_squared_error
0.40350411770342054
root_relative_squared_error
0.46618500170480315
root_relative_squared_error
0.4152110595191958
root_relative_squared_error
0.4145198949510227
root_relative_squared_error
0.40276882922942486
root_relative_squared_error
0.4471092523383113
root_relative_squared_error
0.451660962362174
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
0.9340445269016697 [0.926531,0.941558]
unweighted_recall
0.938961038961039 [0.942857,0.935065]
unweighted_recall
0.9332096474953617 [0.918367,0.948052]
unweighted_recall
0.9426020408163265 [0.938776,0.946429]
unweighted_recall
0.9304035250463822 [0.930612,0.930195]
unweighted_recall
0.9400097601784718 [0.91411,0.965909]
unweighted_recall
0.941548482192654 [0.944785,0.938312]
unweighted_recall
0.9419031027044964 [0.916327,0.96748]
unweighted_recall
0.9221503235440518 [0.897959,0.946341]
unweighted_recall
0.9250041480006637 [0.902041,0.947967]
usercpu_time_millis
570.0579999975162
usercpu_time_millis
559.3040000094334
usercpu_time_millis
566.3999999815132
usercpu_time_millis
566.9699999998556
usercpu_time_millis
565.7139999821084
usercpu_time_millis
562.6159999956144
usercpu_time_millis
510.88000000163447
usercpu_time_millis
509.58200001332443
usercpu_time_millis
503.64199999603443
usercpu_time_millis
511.7539999919245
usercpu_time_millis_testing
9.453999999095686
usercpu_time_millis_testing
8.90600000275299
usercpu_time_millis_testing
9.425999989616685
usercpu_time_millis_testing
10.036000006948598
usercpu_time_millis_testing
9.481999994022772
usercpu_time_millis_testing
13.349999993806705
usercpu_time_millis_testing
9.749999997438863
usercpu_time_millis_testing
9.512000004178844
usercpu_time_millis_testing
9.376000001793727
usercpu_time_millis_testing
10.51999999617692
usercpu_time_millis_training
560.6039999984205
usercpu_time_millis_training
550.3980000066804
usercpu_time_millis_training
556.9739999918966
usercpu_time_millis_training
556.933999992907
usercpu_time_millis_training
556.2319999880856
usercpu_time_millis_training
549.2660000018077
usercpu_time_millis_training
501.1300000041956
usercpu_time_millis_training
500.0700000091456
usercpu_time_millis_training
494.2659999942407
usercpu_time_millis_training
501.2339999957476
wall_clock_time_millis
287.37401962280273
wall_clock_time_millis
283.48588943481445
wall_clock_time_millis
286.73815727233887
wall_clock_time_millis
285.42208671569824
wall_clock_time_millis
285.08567810058594
wall_clock_time_millis
284.45982933044434
wall_clock_time_millis
257.17806816101074
wall_clock_time_millis
256.48999214172363
wall_clock_time_millis
253.3583641052246
wall_clock_time_millis
257.5502395629883
wall_clock_time_millis_testing
4.780054092407227
wall_clock_time_millis_testing
4.466772079467773
wall_clock_time_millis_testing
4.7740936279296875
wall_clock_time_millis_testing
5.077123641967773
wall_clock_time_millis_testing
4.791975021362305
wall_clock_time_millis_testing
6.725788116455078
wall_clock_time_millis_testing
4.918098449707031
wall_clock_time_millis_testing
4.832983016967773
wall_clock_time_millis_testing
4.754304885864258
wall_clock_time_millis_testing
5.342006683349609
wall_clock_time_millis_training
282.5939655303955
wall_clock_time_millis_training
279.0191173553467
wall_clock_time_millis_training
281.9640636444092
wall_clock_time_millis_training
280.34496307373047
wall_clock_time_millis_training
280.29370307922363
wall_clock_time_millis_training
277.73404121398926
wall_clock_time_millis_training
252.2599697113037
wall_clock_time_millis_training
251.65700912475586
wall_clock_time_millis_training
248.60405921936035
wall_clock_time_millis_training
252.20823287963867
weighted_recall
0.9349005424954792 [0.926531,0.941558]
weighted_recall
0.9385171790235082 [0.942857,0.935065]
weighted_recall
0.9349005424954792 [0.918367,0.948052]
weighted_recall
0.9430379746835443 [0.938776,0.946429]
weighted_recall
0.930379746835443 [0.930612,0.930195]
weighted_recall
0.9429864253393665 [0.91411,0.965909]
weighted_recall
0.9411764705882353 [0.944785,0.938312]
weighted_recall
0.9447963800904977 [0.916327,0.96748]
weighted_recall
0.9248868778280543 [0.897959,0.946341]
weighted_recall
0.9276018099547512 [0.902041,0.947967]