10549262
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)
8275631
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
25.0
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
22023479
description
https://api.openml.org/data/download/22023479/description.xml
-1
22023480
predictions
https://api.openml.org/data/download/22023480/predictions.arff
area_under_roc_curve
0.9498327759197326 [0.949833,0.949833]
average_cost
0
f_measure
0.9626194095329897 [0.765432,0.980981]
kappa
0.7467917077986178
kb_relative_information_score
0.4131421475760771
mean_absolute_error
0.0630289742665953
mean_prior_absolute_error
0.15712723793904684
weighted_recall
0.9648148148148148 [0.673913,0.991903]
number_of_instances
540 [46,494]
precision
0.9630918329928231 [0.885714,0.970297]
predictive_accuracy
0.9648148148148148
prior_entropy
0.420212492518953
relative_absolute_error
0.4011333432275163
root_mean_prior_squared_error
0.2791612659332496
root_mean_squared_error
0.1850014680166013
root_relative_squared_error
0.6627046463560496
total_cost
0
unweighted_recall
0.832907938743179 [0.673913,0.991903]
area_under_roc_curve
0.7799999999999999 [0.78,0.78]
area_under_roc_curve
0.99 [0.99,0.99]
area_under_roc_curve
0.925 [0.925,0.925]
area_under_roc_curve
0.98 [0.98,0.98]
area_under_roc_curve
0.946938775510204 [0.946939,0.946939]
area_under_roc_curve
0.963265306122449 [0.963265,0.963265]
area_under_roc_curve
0.9836734693877551 [0.983673,0.983673]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9918367346938776 [0.991837,0.991837]
area_under_roc_curve
0.9346938775510204 [0.934694,0.934694]
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
0.982416760194538 [0.888889,0.989899]
f_measure
0.9571532316630355 [0.666667,0.980392]
f_measure
0.9629629629629629 [0.75,0.98]
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
0.980546202768425 [0.888889,0.989899]
f_measure
0.9026870007262163 [0.333333,0.960784]
kappa
0.6367713004484302
kappa
0.8789237668161436
kappa
0.6493506493506489
kappa
0.7299999999999996
kappa
0.7313432835820891
kappa
0.7313432835820891
kappa
0.7313432835820891
kappa
1
kappa
0.8789237668161436
kappa
0.3121019108280258
kb_relative_information_score
0.1020486669736904
kb_relative_information_score
0.4079452572568347
kb_relative_information_score
0.3717084633093398
kb_relative_information_score
0.461676279417252
kb_relative_information_score
0.17132900222180075
kb_relative_information_score
0.43561812537801103
kb_relative_information_score
0.4800936414482974
kb_relative_information_score
0.8547598885852569
kb_relative_information_score
0.6362959239032079
kb_relative_information_score
0.16627814182222256
mean_absolute_error
0.07961345380466692
mean_absolute_error
0.057927710655050264
mean_absolute_error
0.06214028721473244
mean_absolute_error
0.05931176977261674
mean_absolute_error
0.08743901950580348
mean_absolute_error
0.05987564171365601
mean_absolute_error
0.0632401484692132
mean_absolute_error
0.01868015384883493
mean_absolute_error
0.051706494486197935
mean_absolute_error
0.09035506319518098
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
0.9851851851851853 [0.8,1]
precision
0.9643874643874645 [1,0.961538]
precision
0.9629629629629629 [0.75,0.98]
precision
0.9644153957879448 [1,0.960784]
precision
0.9644153957879448 [1,0.960784]
precision
0.9644153957879448 [1,0.960784]
precision
1 [1,1]
precision
0.9818518518518518 [1,0.98]
precision
0.9315164220824599 [1,0.924528]
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9814814814814815
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9629629629629629
predictive_accuracy
1
predictive_accuracy
0.9814814814814815
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
0.5381354655785201
relative_absolute_error
0.39155386500046463
relative_absolute_error
0.42002815847593306
relative_absolute_error
0.40090920963162757
relative_absolute_error
0.5356143204051605
relative_absolute_error
0.36677276719867824
relative_absolute_error
0.3873823075338914
relative_absolute_error
0.11442669377306425
relative_absolute_error
0.3167320386400255
relative_absolute_error
0.5534767663450311
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
0.2355274246899033
root_mean_squared_error
0.15855941033217505
root_mean_squared_error
0.19595283305820158
root_mean_squared_error
0.17333255900475922
root_mean_squared_error
0.20582610459328252
root_mean_squared_error
0.18802558087675983
root_mean_squared_error
0.17987750946329725
root_mean_squared_error
0.04809411534357876
root_mean_squared_error
0.14818286826859317
root_mean_squared_error
0.2425991741877158
root_relative_squared_error
0.8982864709391122
root_relative_squared_error
0.6047354074753825
root_relative_squared_error
0.7473515201472785
root_relative_squared_error
0.6610792477021693
root_relative_squared_error
0.709940468613154
root_relative_squared_error
0.648542463856472
root_relative_squared_error
0.6204379352836864
root_relative_squared_error
0.16588740700323068
root_relative_squared_error
0.5111159983663205
root_relative_squared_error
0.8367790458276602
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
0.99 [1,0.98]
unweighted_recall
0.75 [0.5,1]
unweighted_recall
0.865 [0.75,0.98]
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
0.9 [0.8,1]
unweighted_recall
0.6 [0.2,1]
usercpu_time_millis
8.060178952291608
usercpu_time_millis
7.518110040109605
usercpu_time_millis
7.788192015141249
usercpu_time_millis
7.562362938188016
usercpu_time_millis
8.010813035070896
usercpu_time_millis
7.491649012081325
usercpu_time_millis
7.564081985037774
usercpu_time_millis
7.550424954388291
usercpu_time_millis
7.568918983452022
usercpu_time_millis
7.192333985585719
usercpu_time_millis_testing
0.6923659821040928
usercpu_time_millis_testing
0.7455259910784662
usercpu_time_millis_testing
0.6542140035890043
usercpu_time_millis_testing
0.6716839852742851
usercpu_time_millis_testing
0.6889550131745636
usercpu_time_millis_testing
0.6826039752922952
usercpu_time_millis_testing
0.6934659904800355
usercpu_time_millis_testing
0.6839080015197396
usercpu_time_millis_testing
0.6851489888504148
usercpu_time_millis_testing
0.6389860063791275
usercpu_time_millis_training
7.367812970187515
usercpu_time_millis_training
6.772584049031138
usercpu_time_millis_training
7.133978011552244
usercpu_time_millis_training
6.890678952913731
usercpu_time_millis_training
7.3218580218963325
usercpu_time_millis_training
6.80904503678903
usercpu_time_millis_training
6.870615994557738
usercpu_time_millis_training
6.866516952868551
usercpu_time_millis_training
6.883769994601607
usercpu_time_millis_training
6.553347979206592
wall_clock_time_millis
8.069753646850586
wall_clock_time_millis
7.533073425292969
wall_clock_time_millis
7.796525955200195
wall_clock_time_millis
7.572650909423828
wall_clock_time_millis
8.019208908081055
wall_clock_time_millis
7.499217987060547
wall_clock_time_millis
7.571935653686523
wall_clock_time_millis
7.562875747680664
wall_clock_time_millis
7.575035095214844
wall_clock_time_millis
7.195472717285156
wall_clock_time_millis_testing
0.6995201110839844
wall_clock_time_millis_testing
0.7522106170654297
wall_clock_time_millis_testing
0.6594657897949219
wall_clock_time_millis_testing
0.6754398345947266
wall_clock_time_millis_testing
0.6937980651855469
wall_clock_time_millis_testing
0.6890296936035156
wall_clock_time_millis_testing
0.6988048553466797
wall_clock_time_millis_testing
0.6892681121826172
wall_clock_time_millis_testing
0.6906986236572266
wall_clock_time_millis_testing
0.6427764892578125
wall_clock_time_millis_training
7.370233535766602
wall_clock_time_millis_training
6.780862808227539
wall_clock_time_millis_training
7.137060165405273
wall_clock_time_millis_training
6.897211074829102
wall_clock_time_millis_training
7.325410842895508
wall_clock_time_millis_training
6.810188293457031
wall_clock_time_millis_training
6.873130798339844
wall_clock_time_millis_training
6.873607635498047
wall_clock_time_millis_training
6.884336471557617
wall_clock_time_millis_training
6.552696228027344
weighted_recall
0.9444444444444444 [0.75,0.96]
weighted_recall
0.9814814814814815 [1,0.98]
weighted_recall
0.9629629629629629 [0.5,1]
weighted_recall
0.9629629629629629 [0.75,0.98]
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
0.9814814814814815 [0.8,1]
weighted_recall
0.9259259259259259 [0.2,1]