10330647
8323
Heinrich Peters
9978
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8186215
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
0.07077231909653779
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.9005967890758899
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
2.867595836610148
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
29078
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
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": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
1487
ozone-level-8hr
https://www.openml.org/data/download/1592279/phpdReP6S
-1
21582993
description
https://api.openml.org/data/download/21582993/description.xml
-1
21582994
predictions
https://api.openml.org/data/download/21582994/predictions.arff
area_under_roc_curve
0.6693186604886268 [0.669319,0.669319]
average_cost
0
f_measure
0.9176365574946309 [0.954757,0.366864]
kappa
0.3217582285637104
kb_relative_information_score
-0.012062232137124183
mean_absolute_error
0.08445146014206788
mean_prior_absolute_error
0.11860993329831554
number_of_instances
2534 [2374,160]
precision
0.9198822456287702 [0.958404,0.348315]
predictive_accuracy
0.9155485398579322
prior_entropy
0.33979186786586124
recall
0.9155485398579322 [0.951137,0.3875]
relative_absolute_error
0.7120100129359674
root_mean_prior_squared_error
0.24321713805631198
root_mean_squared_error
0.29060533398764016
root_relative_squared_error
1.194839049213532
total_cost
0
area_under_roc_curve
0.6893382352941176 [0.689338,0.689338]
area_under_roc_curve
0.6601890756302521 [0.660189,0.660189]
area_under_roc_curve
0.601890756302521 [0.601891,0.601891]
area_under_roc_curve
0.7205882352941176 [0.720588,0.720588]
area_under_roc_curve
0.7622626582278481 [0.762263,0.762263]
area_under_roc_curve
0.6017932489451477 [0.601793,0.601793]
area_under_roc_curve
0.6664029535864979 [0.666403,0.666403]
area_under_roc_curve
0.6621835443037974 [0.662184,0.662184]
area_under_roc_curve
0.7601529535864979 [0.760153,0.760153]
area_under_roc_curve
0.5684335443037974 [0.568434,0.568434]
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
0.91508650934901 [0.951168,0.378378]
f_measure
0.9130424236082543 [0.951374,0.342857]
f_measure
0.9080832333572425 [0.951782,0.258065]
f_measure
0.919670931391135 [0.953191,0.421053]
f_measure
0.9384849404356101 [0.966102,0.529412]
f_measure
0.9077203272109893 [0.951579,0.258065]
f_measure
0.9209486166007906 [0.957806,0.375]
f_measure
0.9154167930989642 [0.95339,0.352941]
f_measure
0.9354720604789838 [0.963907,0.514286]
f_measure
0.8996960078380318 [0.947368,0.193548]
kappa
0.3305065322026132
kappa
0.29461482733639255
kappa
0.2098999188531246
kappa
0.3755029056772466
kappa
0.4956391726887617
kappa
0.20969713432024953
kappa
0.3328059071729962
kappa
0.30650386244704647
kappa
0.47847702194737535
kappa
0.14097514600027167
kb_relative_information_score
-0.08701366149401733
kb_relative_information_score
-0.08701366149401757
kb_relative_information_score
-0.08701366149401558
kb_relative_information_score
-0.03975219795079702
kb_relative_information_score
0.24298517444237885
kb_relative_information_score
-0.08820881173908215
kb_relative_information_score
0.053731468052972034
kb_relative_information_score
-0.0408953851417298
kb_relative_information_score
0.19567174784502775
kb_relative_information_score
-0.1828356649337845
mean_absolute_error
0.09055118110236221
mean_absolute_error
0.09055118110236221
mean_absolute_error
0.09055118110236221
mean_absolute_error
0.08661417322834646
mean_absolute_error
0.06324110671936758
mean_absolute_error
0.09090909090909091
mean_absolute_error
0.07905138339920949
mean_absolute_error
0.08695652173913043
mean_absolute_error
0.06719367588932806
mean_absolute_error
0.09881422924901186
mean_prior_absolute_error
0.11847971882063642
mean_prior_absolute_error
0.11847971882063642
mean_prior_absolute_error
0.11847971882063642
mean_prior_absolute_error
0.11847971882063642
mean_prior_absolute_error
0.11869708607124604
mean_prior_absolute_error
0.11869708607124604
mean_prior_absolute_error
0.11869708607124604
mean_prior_absolute_error
0.11869708607124604
mean_prior_absolute_error
0.11869708607124604
mean_prior_absolute_error
0.11869708607124604
number_of_instances
254 [238,16]
number_of_instances
254 [238,16]
number_of_instances
254 [238,16]
number_of_instances
254 [238,16]
number_of_instances
253 [237,16]
number_of_instances
253 [237,16]
number_of_instances
253 [237,16]
number_of_instances
253 [237,16]
number_of_instances
253 [237,16]
number_of_instances
253 [237,16]
precision
0.9218118121500908 [0.961373,0.333333]
precision
0.9170274488365326 [0.957447,0.315789]
precision
0.9067593538255416 [0.949791,0.266667]
precision
0.9276034853010146 [0.965517,0.363636]
precision
0.9404759902447228 [0.970213,0.5]
precision
0.9063916475681181 [0.94958,0.266667]
precision
0.9209486166007905 [0.957806,0.375]
precision
0.9179771816219551 [0.957447,0.333333]
precision
0.9386925050540611 [0.970085,0.473684]
precision
0.8982396120503536 [0.945378,0.2]
predictive_accuracy
0.9094488188976377
predictive_accuracy
0.9094488188976377
predictive_accuracy
0.9094488188976377
predictive_accuracy
0.9133858267716535
predictive_accuracy
0.9367588932806323
predictive_accuracy
0.9090909090909091
predictive_accuracy
0.9209486166007905
predictive_accuracy
0.9130434782608695
predictive_accuracy
0.9328063241106719
predictive_accuracy
0.9011857707509882
prior_entropy
0.3392127388048247
prior_entropy
0.3392127388048247
prior_entropy
0.3392127388048247
prior_entropy
0.3392127388048247
prior_entropy
0.3401794799383073
prior_entropy
0.3401794799383073
prior_entropy
0.3401794799383073
prior_entropy
0.3401794799383073
prior_entropy
0.3401794799383073
prior_entropy
0.3401794799383073
recall
0.9094488188976378 [0.941176,0.4375]
recall
0.9094488188976378 [0.945378,0.375]
recall
0.9094488188976378 [0.953782,0.25]
recall
0.9133858267716536 [0.941176,0.5]
recall
0.9367588932806324 [0.962025,0.5625]
recall
0.9090909090909091 [0.953586,0.25]
recall
0.9209486166007905 [0.957806,0.375]
recall
0.9130434782608695 [0.949367,0.375]
recall
0.932806324110672 [0.957806,0.5625]
recall
0.9011857707509882 [0.949367,0.1875]
relative_absolute_error
0.7642757933908119
relative_absolute_error
0.7642757933908119
relative_absolute_error
0.7642757933908119
relative_absolute_error
0.7310464110694723
relative_absolute_error
0.5327940964061082
relative_absolute_error
0.7658915135837806
relative_absolute_error
0.6659926205076353
relative_absolute_error
0.7325918825583987
relative_absolute_error
0.56609372743149
relative_absolute_error
0.8324907756345441
root_mean_prior_squared_error
0.24294929875723142
root_mean_prior_squared_error
0.24294929875723142
root_mean_prior_squared_error
0.24294929875723142
root_mean_prior_squared_error
0.24294929875723142
root_mean_prior_squared_error
0.24339623870807886
root_mean_prior_squared_error
0.24339623870807886
root_mean_prior_squared_error
0.24339623870807886
root_mean_prior_squared_error
0.24339623870807886
root_mean_prior_squared_error
0.24339623870807886
root_mean_prior_squared_error
0.24339623870807886
root_mean_squared_error
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root_mean_squared_error
0.3009172329767144
root_mean_squared_error
0.3009172329767144
root_mean_squared_error
0.2943028597012718
root_mean_squared_error
0.2514778453847726
root_mean_squared_error
0.30151134457776363
root_mean_squared_error
0.2811607785577666
root_mean_squared_error
0.29488391230979427
root_mean_squared_error
0.259217429756041
root_mean_squared_error
0.3143473067309657
root_relative_squared_error
1.2386009530219217
root_relative_squared_error
1.2386009530219217
root_relative_squared_error
1.2386009530219217
root_relative_squared_error
1.2113756294285736
root_relative_squared_error
1.0332034986226164
root_relative_squared_error
1.2387674771728334
root_relative_squared_error
1.1551566287553903
root_relative_squared_error
1.2115384932610564
root_relative_squared_error
1.0650017893946897
root_relative_squared_error
1.2915043732782707
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
0
total_cost
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total_cost
0
usercpu_time_millis
380.5613710000131
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
337.79264099999295
usercpu_time_millis
317.31268900000487
usercpu_time_millis_testing
25.093057000006525
usercpu_time_millis_testing
26.46905199999594
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
19.05056999999033
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
396.60000801086426
wall_clock_time_millis
395.7648277282715
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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