10556772
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)
8275679
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
25.0
17462
class_weight
null
17462
dual
false
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
22038501
description
https://api.openml.org/data/download/22038501/description.xml
-1
22038502
predictions
https://api.openml.org/data/download/22038502/predictions.arff
area_under_roc_curve
0.9867590050278898 [0.986759,0.986759]
average_cost
0
f_measure
0.9395139175426137 [0.931177,0.946146]
kappa
0.8773312492809464
kb_relative_information_score
0.834259972606286
mean_absolute_error
0.0866731573060929
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
0.17562371060665524
root_mean_prior_squared_error
0.49674696272345925
root_mean_squared_error
0.2109699589354639
root_relative_squared_error
0.4247030676922561
total_cost
0
unweighted_recall
0.9378415170534615 [0.922621,0.953062]
area_under_roc_curve
0.9853051285449245 [0.985305,0.985305]
area_under_roc_curve
0.9894497084548106 [0.98945,0.98945]
area_under_roc_curve
0.988386231115823 [0.988386,0.988386]
area_under_roc_curve
0.9885502252849192 [0.98855,0.98855]
area_under_roc_curve
0.9819192287304532 [0.981919,0.981919]
area_under_roc_curve
0.9886247443762781 [0.988625,0.988625]
area_under_roc_curve
0.9872387326375055 [0.987239,0.987239]
area_under_roc_curve
0.987799900447984 [0.9878,0.9878]
area_under_roc_curve
0.9852762568442011 [0.985276,0.985276]
area_under_roc_curve
0.9849759415961507 [0.984976,0.984976]
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
0.8240589808537105
kb_relative_information_score
0.8417674961818092
kb_relative_information_score
0.8362629774142678
kb_relative_information_score
0.8530301832377123
kb_relative_information_score
0.8129308115341369
kb_relative_information_score
0.8348726022508552
kb_relative_information_score
0.8388881932968312
kb_relative_information_score
0.8500063715079486
kb_relative_information_score
0.8265883323003025
kb_relative_information_score
0.8241978634614334
mean_absolute_error
0.0919146905150904
mean_absolute_error
0.08261017150215842
mean_absolute_error
0.0851667409171362
mean_absolute_error
0.07692754641832887
mean_absolute_error
0.09652570000407115
mean_absolute_error
0.08680609283037799
mean_absolute_error
0.08512300776071158
mean_absolute_error
0.07926012949874263
mean_absolute_error
0.09075351036882423
mean_absolute_error
0.09164418318863601
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
0.18624533830605702
relative_absolute_error
0.1673917330594164
relative_absolute_error
0.17257207075001965
relative_absolute_error
0.15587711635045234
relative_absolute_error
0.19558855664683644
relative_absolute_error
0.17591432211832367
relative_absolute_error
0.1725035158091814
relative_absolute_error
0.16058873859841546
relative_absolute_error
0.18387544715958234
relative_absolute_error
0.1856800370024457
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
0.2176061396949508
root_mean_squared_error
0.20528764417141562
root_mean_squared_error
0.20948359678366754
root_mean_squared_error
0.19851624046816682
root_mean_squared_error
0.22918984887766897
root_mean_squared_error
0.20602671747371068
root_mean_squared_error
0.20414997479239144
root_mean_squared_error
0.20100589212037256
root_mean_squared_error
0.21614901567763722
root_mean_squared_error
0.2202662672625184
root_relative_squared_error
0.4380643130572789
root_relative_squared_error
0.41326587084888655
root_relative_squared_error
0.42171276991746864
root_relative_squared_error
0.39963431469952654
root_relative_squared_error
0.46138355217845556
root_relative_squared_error
0.4148019455933383
root_relative_squared_error
0.4110234234427409
root_relative_squared_error
0.4046088213114592
root_relative_squared_error
0.435090720666974
root_relative_squared_error
0.4433784195658893
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
247.08800000371411
usercpu_time_millis
233.167999991565
usercpu_time_millis
254.73599998804275
usercpu_time_millis
238.62600000575185
usercpu_time_millis
269.37600001110695
usercpu_time_millis
269.5780000067316
usercpu_time_millis
219.82399999978952
usercpu_time_millis
224.50400001253
usercpu_time_millis
237.55799999344163
usercpu_time_millis
242.08999998518266
usercpu_time_millis_testing
8.824000004096888
usercpu_time_millis_testing
8.841999995638616
usercpu_time_millis_testing
8.821999988867901
usercpu_time_millis_testing
9.038000003783964
usercpu_time_millis_testing
9.09400000819005
usercpu_time_millis_testing
9.082000004127622
usercpu_time_millis_testing
8.679999999003485
usercpu_time_millis_testing
11.19200000539422
usercpu_time_millis_testing
9.420000002137385
usercpu_time_millis_testing
9.403999996720813
usercpu_time_millis_training
238.26399999961723
usercpu_time_millis_training
224.3259999959264
usercpu_time_millis_training
245.91399999917485
usercpu_time_millis_training
229.58800000196788
usercpu_time_millis_training
260.2820000029169
usercpu_time_millis_training
260.496000002604
usercpu_time_millis_training
211.14400000078604
usercpu_time_millis_training
213.3120000071358
usercpu_time_millis_training
228.13799999130424
usercpu_time_millis_training
232.68599998846184
wall_clock_time_millis
125.8401870727539
wall_clock_time_millis
118.35598945617676
wall_clock_time_millis
130.0051212310791
wall_clock_time_millis
121.35815620422363
wall_clock_time_millis
138.55934143066406
wall_clock_time_millis
136.36302947998047
wall_clock_time_millis
111.37795448303223
wall_clock_time_millis
113.81340026855469
wall_clock_time_millis
120.78404426574707
wall_clock_time_millis
122.74432182312012
wall_clock_time_millis_testing
4.438161849975586
wall_clock_time_millis_testing
4.433870315551758
wall_clock_time_millis_testing
4.426002502441406
wall_clock_time_millis_testing
4.605293273925781
wall_clock_time_millis_testing
4.563331604003906
wall_clock_time_millis_testing
4.555940628051758
wall_clock_time_millis_testing
4.353046417236328
wall_clock_time_millis_testing
5.766153335571289
wall_clock_time_millis_testing
4.729032516479492
wall_clock_time_millis_testing
4.750251770019531
wall_clock_time_millis_training
121.40202522277832
wall_clock_time_millis_training
113.922119140625
wall_clock_time_millis_training
125.5791187286377
wall_clock_time_millis_training
116.75286293029785
wall_clock_time_millis_training
133.99600982666016
wall_clock_time_millis_training
131.8070888519287
wall_clock_time_millis_training
107.0249080657959
wall_clock_time_millis_training
108.0472469329834
wall_clock_time_millis_training
116.05501174926758
wall_clock_time_millis_training
117.99407005310059
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]