10545145
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)
8275627
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
0.1
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
10000
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"lbfgs"
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
22015245
description
https://api.openml.org/data/download/22015245/description.xml
-1
22015246
predictions
https://api.openml.org/data/download/22015246/predictions.arff
area_under_roc_curve
0.9522091181130082 [0.952209,0.952209]
average_cost
0
f_measure
0.9242902163090713 [0.459016,0.967615]
kappa
0.43536121673003825
kb_relative_information_score
0.16081006133836254
mean_absolute_error
0.10204835621220885
mean_prior_absolute_error
0.15712723793904684
weighted_recall
0.9388888888888889 [0.304348,0.997976]
number_of_instances
540 [46,494]
precision
0.9385608465608465 [0.933333,0.939048]
predictive_accuracy
0.9388888888888889
prior_entropy
0.420212492518953
relative_absolute_error
0.6494631837911876
root_mean_prior_squared_error
0.2791612659332496
root_mean_squared_error
0.20592444352962933
root_relative_squared_error
0.7376540683078434
total_cost
0
unweighted_recall
0.6511617672944905 [0.304348,0.997976]
area_under_roc_curve
0.7799999999999999 [0.78,0.78]
area_under_roc_curve
0.99 [0.99,0.99]
area_under_roc_curve
0.895 [0.895,0.895]
area_under_roc_curve
0.9700000000000001 [0.97,0.97]
area_under_roc_curve
0.9673469387755104 [0.967347,0.967347]
area_under_roc_curve
0.9673469387755104 [0.967347,0.967347]
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
0.946938775510204 [0.946939,0.946939]
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
0.9407512179789406 [0.571429,0.970297]
f_measure
0.9571532316630355 [0.666667,0.980392]
f_measure
0.928586839266451 [0.4,0.970874]
f_measure
0.928586839266451 [0.4,0.970874]
f_measure
0.9333647650479333 [0.571429,0.970297]
f_measure
0.9026870007262163 [0.333333,0.960784]
f_measure
0.9587037037037036 [0.75,0.98]
f_measure
0.9026870007262163 [0.333333,0.960784]
f_measure
0.9026870007262163 [0.333333,0.960784]
kappa
0.5423728813559318
kappa
0.6493506493506489
kappa
0.3816793893129772
kappa
0.3816793893129772
kappa
0
kappa
0.5474860335195529
kappa
0.3121019108280258
kappa
0.7313432835820891
kappa
0.3121019108280258
kappa
0.3121019108280258
kb_relative_information_score
-0.2764383735321362
kb_relative_information_score
0.1613546614829869
kb_relative_information_score
0.0625431848146379
kb_relative_information_score
-0.0022453952552532516
kb_relative_information_score
0.015761740434859152
kb_relative_information_score
0.19119626742377516
kb_relative_information_score
0.2766662559737088
kb_relative_information_score
0.5296730911619542
kb_relative_information_score
0.4160602078458149
kb_relative_information_score
0.13494404500542162
mean_absolute_error
0.11760133453600394
mean_absolute_error
0.09212647383808018
mean_absolute_error
0.09765914263240416
mean_absolute_error
0.11050587922995952
mean_absolute_error
0.12033813030668382
mean_absolute_error
0.10882980901205291
mean_absolute_error
0.09709614043109453
mean_absolute_error
0.07798500839115625
mean_absolute_error
0.08977105858778238
mean_absolute_error
0.10857058515687205
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
0.9389978213507625 [0.666667,0.960784]
precision
0.9643874643874645 [1,0.961538]
precision
0.9475890985324947 [1,0.943396]
precision
0.9475890985324947 [1,0.943396]
precision
0.9476495726495726 [1,0.942308]
precision
0.9315164220824599 [1,0.924528]
precision
0.9644153957879448 [1,0.960784]
precision
0.9315164220824599 [1,0.924528]
precision
0.9315164220824599 [1,0.924528]
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9074074074074074
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9259259259259259
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9259259259259259
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
0.7949089744110311
relative_absolute_error
0.6227153894440951
relative_absolute_error
0.6601126527864218
relative_absolute_error
0.7469482848273572
relative_absolute_error
0.7371403092959448
relative_absolute_error
0.666645217698779
relative_absolute_error
0.5947697442731846
relative_absolute_error
0.47770306102812105
relative_absolute_error
0.5498994019981616
relative_absolute_error
0.6650573223883073
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
0.21714789697389128
root_mean_squared_error
0.17931998972125904
root_mean_squared_error
0.21438067210190198
root_mean_squared_error
0.1958038564105314
root_mean_squared_error
0.2254990795728182
root_mean_squared_error
0.2075273725235434
root_mean_squared_error
0.2138488922381972
root_mean_squared_error
0.15412880473185847
root_mean_squared_error
0.20475793872727885
root_mean_squared_error
0.23475812644896196
root_relative_squared_error
0.8281881326616003
root_relative_squared_error
0.6839149239101451
root_relative_squared_error
0.8176341147257825
root_relative_squared_error
0.7467833327811398
root_relative_squared_error
0.7777969783769901
root_relative_squared_error
0.7158085238534384
root_relative_squared_error
0.7376128653262406
root_relative_squared_error
0.5316248688393634
root_relative_squared_error
0.7062561246036043
root_relative_squared_error
0.8097335108744096
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
0.74 [0.5,0.98]
unweighted_recall
0.75 [0.5,1]
unweighted_recall
0.625 [0.25,1]
unweighted_recall
0.625 [0.25,1]
unweighted_recall
0.5 [0,1]
unweighted_recall
0.7 [0.4,1]
unweighted_recall
0.6 [0.2,1]
unweighted_recall
0.8 [0.6,1]
unweighted_recall
0.6 [0.2,1]
unweighted_recall
0.6 [0.2,1]
usercpu_time_millis
8.009577984921634
usercpu_time_millis
8.010268968064338
usercpu_time_millis
8.386233996134251
usercpu_time_millis
8.094892982626334
usercpu_time_millis
7.995084975846112
usercpu_time_millis
8.168523985659704
usercpu_time_millis
7.403686991892755
usercpu_time_millis
7.412382983602583
usercpu_time_millis
7.566899002995342
usercpu_time_millis
7.328371022595093
usercpu_time_millis_testing
0.5123979935888201
usercpu_time_millis_testing
0.5026479775551707
usercpu_time_millis_testing
0.5381219962146133
usercpu_time_millis_testing
0.49814899102784693
usercpu_time_millis_testing
0.5118649860378355
usercpu_time_millis_testing
0.5103409930597991
usercpu_time_millis_testing
0.4862119967583567
usercpu_time_millis_testing
0.45016699004918337
usercpu_time_millis_testing
0.4675209929700941
usercpu_time_millis_testing
0.46047099749557674
usercpu_time_millis_training
7.497179991332814
usercpu_time_millis_training
7.507620990509167
usercpu_time_millis_training
7.848111999919638
usercpu_time_millis_training
7.596743991598487
usercpu_time_millis_training
7.483219989808276
usercpu_time_millis_training
7.6581829925999045
usercpu_time_millis_training
6.917474995134398
usercpu_time_millis_training
6.9622159935534
usercpu_time_millis_training
7.099378010025248
usercpu_time_millis_training
6.867900025099516
wall_clock_time_millis
8.018016815185547
wall_clock_time_millis
8.016824722290039
wall_clock_time_millis
8.526086807250977
wall_clock_time_millis
8.101463317871094
wall_clock_time_millis
8.00466537475586
wall_clock_time_millis
8.175849914550781
wall_clock_time_millis
7.413625717163086
wall_clock_time_millis
7.418394088745117
wall_clock_time_millis
7.574796676635742
wall_clock_time_millis
7.335901260375977
wall_clock_time_millis_testing
0.5183219909667969
wall_clock_time_millis_testing
0.5097389221191406
wall_clock_time_millis_testing
0.5426406860351562
wall_clock_time_millis_testing
0.5042552947998047
wall_clock_time_millis_testing
0.5204677581787109
wall_clock_time_millis_testing
0.5171298980712891
wall_clock_time_millis_testing
0.4909038543701172
wall_clock_time_millis_testing
0.4558563232421875
wall_clock_time_millis_testing
0.47397613525390625
wall_clock_time_millis_testing
0.46539306640625
wall_clock_time_millis_training
7.49969482421875
wall_clock_time_millis_training
7.507085800170898
wall_clock_time_millis_training
7.98344612121582
wall_clock_time_millis_training
7.597208023071289
wall_clock_time_millis_training
7.484197616577148
wall_clock_time_millis_training
7.658720016479492
wall_clock_time_millis_training
6.922721862792969
wall_clock_time_millis_training
6.96253776550293
wall_clock_time_millis_training
7.100820541381836
wall_clock_time_millis_training
6.870508193969727
weighted_recall
0.9444444444444444 [0.5,0.98]
weighted_recall
0.9629629629629629 [0.5,1]
weighted_recall
0.9444444444444444 [0.25,1]
weighted_recall
0.9444444444444444 [0.25,1]
weighted_recall
0.9074074074074074 [0,1]
weighted_recall
0.9444444444444444 [0.4,1]
weighted_recall
0.9259259259259259 [0.2,1]
weighted_recall
0.9629629629629629 [0.6,1]
weighted_recall
0.9259259259259259 [0.2,1]
weighted_recall
0.9259259259259259 [0.2,1]