10549280
8323
Heinrich Peters
146819
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275614
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
1.0
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
100
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"liblinear"
13106
tol
0.0001
13106
verbose
0
13106
warm_start
false
13106
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
18601
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}]
18601
verbose
false
18601
openml-python
Sklearn_0.21.2.
40994
climate-model-simulation-crashes
https://www.openml.org/data/download/18237248/phpJem85A
-1
22023515
description
https://api.openml.org/data/download/22023515/description.xml
-1
22023516
predictions
https://api.openml.org/data/download/22023516/predictions.arff
area_under_roc_curve
0.9522091181130082 [0.952209,0.952209]
average_cost
0
f_measure
0.9535772672362902 [0.701299,0.977069]
kappa
0.6793017971493489
kb_relative_information_score
0.2200298020861549
mean_absolute_error
0.08601106820438308
mean_prior_absolute_error
0.15712723793904684
weighted_recall
0.9574074074074074 [0.586957,0.991903]
number_of_instances
540 [46,494]
precision
0.9548600695251307 [0.870968,0.962672]
predictive_accuracy
0.9574074074074075
prior_entropy
0.420212492518953
relative_absolute_error
0.5473975698455839
root_mean_prior_squared_error
0.2791612659332496
root_mean_squared_error
0.1885989640512546
root_relative_squared_error
0.6755914486229283
total_cost
0
unweighted_recall
0.7894296778736138 [0.586957,0.991903]
area_under_roc_curve
0.7799999999999999 [0.78,0.78]
area_under_roc_curve
0.99 [0.99,0.99]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.975 [0.975,0.975]
area_under_roc_curve
0.963265306122449 [0.963265,0.963265]
area_under_roc_curve
0.963265306122449 [0.963265,0.963265]
area_under_roc_curve
0.9877551020408163 [0.987755,0.987755]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9959183673469387 [0.995918,0.995918]
area_under_roc_curve
0.9387755102040816 [0.938776,0.938776]
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
0.9472502805836138 [0.666667,0.969697]
f_measure
0.9629629629629629 [0.75,0.98]
f_measure
0.9571532316630355 [0.666667,0.980392]
f_measure
0.9407512179789406 [0.571429,0.970297]
f_measure
0.9587037037037036 [0.75,0.98]
f_measure
0.9587037037037036 [0.75,0.98]
f_measure
0.9587037037037036 [0.75,0.98]
f_measure
1 [1,1]
f_measure
0.9333647650479333 [0.571429,0.970297]
f_measure
0.9026870007262163 [0.333333,0.960784]
kappa
0.6367713004484302
kappa
0.7299999999999996
kappa
0.6493506493506489
kappa
0.5423728813559318
kappa
0.7313432835820891
kappa
0.7313432835820891
kappa
0.7313432835820891
kappa
1
kappa
0.5474860335195529
kappa
0.3121019108280258
kb_relative_information_score
-0.3001297704237941
kb_relative_information_score
0.18444935202333404
kb_relative_information_score
0.12052029257839574
kb_relative_information_score
0.15104217020696611
kb_relative_information_score
0.014063409466086607
kb_relative_information_score
0.26685441310911745
kb_relative_information_score
0.34445429299234265
kb_relative_information_score
0.6342488833800036
kb_relative_information_score
0.52864354553655
kb_relative_information_score
0.15386462388522623
mean_absolute_error
0.11059928749095337
mean_absolute_error
0.07764704549744829
mean_absolute_error
0.08291732487294551
mean_absolute_error
0.09202772911093351
mean_absolute_error
0.10861565725856087
mean_absolute_error
0.08747796321019276
mean_absolute_error
0.0803255597104695
mean_absolute_error
0.048938007754652436
mean_absolute_error
0.07023299983009998
mean_absolute_error
0.10132910730757551
mean_prior_absolute_error
0.1479431460981276
mean_prior_absolute_error
0.1479431460981276
mean_prior_absolute_error
0.1479431460981276
mean_prior_absolute_error
0.1479431460981276
mean_prior_absolute_error
0.1632499658329916
mean_prior_absolute_error
0.1632499658329916
mean_prior_absolute_error
0.1632499658329916
mean_prior_absolute_error
0.1632499658329916
mean_prior_absolute_error
0.1632499658329916
mean_prior_absolute_error
0.1632499658329916
number_of_instances
54 [4,50]
number_of_instances
54 [4,50]
number_of_instances
54 [4,50]
number_of_instances
54 [4,50]
number_of_instances
54 [5,49]
number_of_instances
54 [5,49]
number_of_instances
54 [5,49]
number_of_instances
54 [5,49]
number_of_instances
54 [5,49]
number_of_instances
54 [5,49]
precision
0.9514739229024942 [0.6,0.979592]
precision
0.9629629629629629 [0.75,0.98]
precision
0.9643874643874645 [1,0.961538]
precision
0.9389978213507625 [0.666667,0.960784]
precision
0.9644153957879448 [1,0.960784]
precision
0.9644153957879448 [1,0.960784]
precision
0.9644153957879448 [1,0.960784]
precision
1 [1,1]
precision
0.9476495726495726 [1,0.942308]
precision
0.9315164220824599 [1,0.924528]
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9629629629629629
predictive_accuracy
1
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9259259259259259
prior_entropy
0.3824714273712947
prior_entropy
0.3824714273712947
prior_entropy
0.3824714273712947
prior_entropy
0.3824714273712947
prior_entropy
0.4453732026173935
prior_entropy
0.4453732026173935
prior_entropy
0.4453732026173935
prior_entropy
0.4453732026173935
prior_entropy
0.4453732026173935
prior_entropy
0.4453732026173935
relative_absolute_error
0.747579664269105
relative_absolute_error
0.5248438170021519
relative_absolute_error
0.5604674975476606
relative_absolute_error
0.6220479389419868
relative_absolute_error
0.665333414952608
relative_absolute_error
0.5358528730087742
relative_absolute_error
0.4920402849740524
relative_absolute_error
0.2997734639939657
relative_absolute_error
0.4302175468872681
relative_absolute_error
0.6206991026952955
root_mean_prior_squared_error
0.2621963397085025
root_mean_prior_squared_error
0.2621963397085025
root_mean_prior_squared_error
0.2621963397085025
root_mean_prior_squared_error
0.2621963397085025
root_mean_prior_squared_error
0.2899202309108498
root_mean_prior_squared_error
0.2899202309108498
root_mean_prior_squared_error
0.2899202309108498
root_mean_prior_squared_error
0.2899202309108498
root_mean_prior_squared_error
0.2899202309108498
root_mean_prior_squared_error
0.2899202309108498
root_mean_squared_error
0.22992443319915823
root_mean_squared_error
0.16327730166131146
root_mean_squared_error
0.1990996935476485
root_mean_squared_error
0.18117838322570165
root_mean_squared_error
0.20701470817305884
root_mean_squared_error
0.18682906657656803
root_mean_squared_error
0.18672011749186904
root_mean_squared_error
0.09510038379704844
root_mean_squared_error
0.1684019949118137
root_mean_squared_error
0.2316824745003693
root_relative_squared_error
0.8769170212474261
root_relative_squared_error
0.6227291419965492
root_relative_squared_error
0.7593534439458542
root_relative_squared_error
0.6910027173801404
root_relative_squared_error
0.7140402293509337
root_relative_squared_error
0.6444154172670268
root_relative_squared_error
0.6440396274011154
root_relative_squared_error
0.3280225857239046
root_relative_squared_error
0.5808563078980065
root_relative_squared_error
0.7991248964326724
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
0.855 [0.75,0.96]
unweighted_recall
0.865 [0.75,0.98]
unweighted_recall
0.75 [0.5,1]
unweighted_recall
0.74 [0.5,0.98]
unweighted_recall
0.8 [0.6,1]
unweighted_recall
0.8 [0.6,1]
unweighted_recall
0.8 [0.6,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.7 [0.4,1]
unweighted_recall
0.6 [0.2,1]
usercpu_time_millis
6.7219139891676605
usercpu_time_millis
9.39307507360354
usercpu_time_millis
6.952954980079085
usercpu_time_millis
6.852029997389764
usercpu_time_millis
6.569402990862727
usercpu_time_millis
5.941214039921761
usercpu_time_millis
6.003783957567066
usercpu_time_millis
6.1934220138937235
usercpu_time_millis
6.07967801624909
usercpu_time_millis
5.884081008844078
usercpu_time_millis_testing
0.6767589948140085
usercpu_time_millis_testing
0.7514920434914529
usercpu_time_millis_testing
0.6484710029326379
usercpu_time_millis_testing
0.649710011202842
usercpu_time_millis_testing
0.6579660112038255
usercpu_time_millis_testing
0.5832639872096479
usercpu_time_millis_testing
0.6356519879773259
usercpu_time_millis_testing
0.6085429922677577
usercpu_time_millis_testing
0.5975160165689886
usercpu_time_millis_testing
0.5599390133284032
usercpu_time_millis_training
6.045154994353652
usercpu_time_millis_training
8.641583030112088
usercpu_time_millis_training
6.304483977146447
usercpu_time_millis_training
6.202319986186922
usercpu_time_millis_training
5.911436979658902
usercpu_time_millis_training
5.357950052712113
usercpu_time_millis_training
5.36813196958974
usercpu_time_millis_training
5.584879021625966
usercpu_time_millis_training
5.482161999680102
usercpu_time_millis_training
5.324141995515674
wall_clock_time_millis
6.725788116455078
wall_clock_time_millis
9.40251350402832
wall_clock_time_millis
6.958484649658203
wall_clock_time_millis
6.855487823486328
wall_clock_time_millis
6.577253341674805
wall_clock_time_millis
5.948781967163086
wall_clock_time_millis
6.010770797729492
wall_clock_time_millis
6.198406219482422
wall_clock_time_millis
6.090641021728516
wall_clock_time_millis
5.8917999267578125
wall_clock_time_millis_testing
0.6792545318603516
wall_clock_time_millis_testing
0.7567405700683594
wall_clock_time_millis_testing
0.6537437438964844
wall_clock_time_millis_testing
0.6527900695800781
wall_clock_time_millis_testing
0.6611347198486328
wall_clock_time_millis_testing
0.5857944488525391
wall_clock_time_millis_testing
0.6389617919921875
wall_clock_time_millis_testing
0.6127357482910156
wall_clock_time_millis_testing
0.60272216796875
wall_clock_time_millis_testing
0.5624294281005859
wall_clock_time_millis_training
6.046533584594727
wall_clock_time_millis_training
8.645772933959961
wall_clock_time_millis_training
6.304740905761719
wall_clock_time_millis_training
6.20269775390625
wall_clock_time_millis_training
5.916118621826172
wall_clock_time_millis_training
5.362987518310547
wall_clock_time_millis_training
5.371809005737305
wall_clock_time_millis_training
5.585670471191406
wall_clock_time_millis_training
5.487918853759766
wall_clock_time_millis_training
5.329370498657227
weighted_recall
0.9444444444444444 [0.75,0.96]
weighted_recall
0.9629629629629629 [0.75,0.98]
weighted_recall
0.9629629629629629 [0.5,1]
weighted_recall
0.9444444444444444 [0.5,0.98]
weighted_recall
0.9629629629629629 [0.6,1]
weighted_recall
0.9629629629629629 [0.6,1]
weighted_recall
0.9629629629629629 [0.6,1]
weighted_recall
1 [1,1]
weighted_recall
0.9444444444444444 [0.4,1]
weighted_recall
0.9259259259259259 [0.2,1]