10326669
8323
Heinrich Peters
9952
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8182340
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
4.043069327490065
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.006149207135497997
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
48285
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.
1489
phoneme
https://www.openml.org/data/download/1592281/php8Mz7BG
-1
21575024
description
https://api.openml.org/data/download/21575024/description.xml
-1
21575025
predictions
https://api.openml.org/data/download/21575025/predictions.arff
area_under_roc_curve
0.7268863820873713 [0.726886,0.726886]
average_cost
0
f_measure
0.779081153681262 [0.847247,0.614984]
kappa
0.46246648161849613
kb_relative_information_score
0.43147244749932717
mean_absolute_error
0.21872686898593635
mean_prior_absolute_error
0.4147357447231523
number_of_instances
5404 [3818,1586]
precision
0.7774961508282487 [0.836224,0.636119]
predictive_accuracy
0.7812731310140637
prior_entropy
0.8731822780289229
recall
0.7812731310140637 [0.858565,0.595208]
relative_absolute_error
0.527388516106666
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.4676824445988286
root_relative_squared_error
1.027062443766126
total_cost
0
area_under_roc_curve
0.7162649412229576 [0.716265,0.716265]
area_under_roc_curve
0.7542724488787909 [0.754272,0.754272]
area_under_roc_curve
0.7015953768645659 [0.701595,0.701595]
area_under_roc_curve
0.7298972636570187 [0.729897,0.729897]
area_under_roc_curve
0.7186029557956126 [0.718603,0.718603]
area_under_roc_curve
0.7442507787129699 [0.744251,0.744251]
area_under_roc_curve
0.7299522831201538 [0.729952,0.729952]
area_under_roc_curve
0.7236231691961033 [0.723623,0.723623]
area_under_roc_curve
0.7273560144604566 [0.727356,0.727356]
area_under_roc_curve
0.7231713960283267 [0.723171,0.723171]
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
0.7740870132510128 [0.846547,0.6]
f_measure
0.7937170338850421 [0.852632,0.652174]
f_measure
0.761175274615889 [0.837388,0.578073]
f_measure
0.780201142917873 [0.84715,0.619355]
f_measure
0.7746263603019762 [0.845758,0.602649]
f_measure
0.7859624756335283 [0.847368,0.6375]
f_measure
0.7814187571021429 [0.848642,0.618893]
f_measure
0.7772196564623851 [0.846452,0.609836]
f_measure
0.7805330512956108 [0.849032,0.616393]
f_measure
0.7807236268692868 [0.851662,0.610738]
kappa
0.4473106196046381
kappa
0.5048378661087868
kappa
0.4161787823426945
kappa
0.4666477291715403
kappa
0.44886711573790566
kappa
0.48490230905861453
kappa
0.4677158455213318
kappa
0.4565658615790542
kappa
0.4658076298701299
kappa
0.4633218526705393
kb_relative_information_score
0.42380080251917723
kb_relative_information_score
0.4622140823512314
kb_relative_information_score
0.39018918266612895
kb_relative_information_score
0.43340412247719035
kb_relative_information_score
0.42163717022455693
kb_relative_information_score
0.4409159312170715
kb_relative_information_score
0.43609624096894267
kb_relative_information_score
0.4264568604726854
kb_relative_information_score
0.4376092546851013
kb_relative_information_score
0.4424160131920665
mean_absolute_error
0.22181146025878004
mean_absolute_error
0.20702402957486138
mean_absolute_error
0.23475046210720887
mean_absolute_error
0.21811460258780038
mean_absolute_error
0.2222222222222222
mean_absolute_error
0.21481481481481482
mean_absolute_error
0.21666666666666667
mean_absolute_error
0.22037037037037038
mean_absolute_error
0.21666666666666667
mean_absolute_error
0.21481481481481482
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.415131335553089
mean_prior_absolute_error
0.415131335553089
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [381,159]
number_of_instances
540 [381,159]
precision
0.7718934597081842 [0.8275,0.638298]
precision
0.7945506179519537 [0.857143,0.644172]
precision
0.7587489133653952 [0.819549,0.612676]
precision
0.7788879859658772 [0.838462,0.635762]
precision
0.7726220538720538 [0.830808,0.631944]
precision
0.7868312757201645 [0.851852,0.62963]
precision
0.7799784868718423 [0.838875,0.637584]
precision
0.7755157816590024 [0.834606,0.632653]
precision
0.7787306167860372 [0.835025,0.643836]
precision
0.7786760118090066 [0.830424,0.654676]
predictive_accuracy
0.7781885397412199
predictive_accuracy
0.7929759704251386
predictive_accuracy
0.765249537892791
predictive_accuracy
0.7818853974121996
predictive_accuracy
0.7777777777777777
predictive_accuracy
0.7851851851851852
predictive_accuracy
0.7833333333333333
predictive_accuracy
0.7796296296296297
predictive_accuracy
0.7833333333333333
predictive_accuracy
0.7851851851851852
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8743961361606727
prior_entropy
0.8743961361606727
recall
0.7781885397412199 [0.866492,0.566038]
recall
0.7929759704251387 [0.848168,0.660377]
recall
0.7652495378927912 [0.856021,0.54717]
recall
0.7818853974121996 [0.856021,0.603774]
recall
0.7777777777777778 [0.861257,0.575949]
recall
0.7851851851851852 [0.842932,0.64557]
recall
0.7833333333333333 [0.858639,0.601266]
recall
0.7796296296296297 [0.858639,0.588608]
recall
0.7833333333333333 [0.863517,0.591195]
recall
0.7851851851851852 [0.874016,0.572327]
relative_absolute_error
0.5346057332163123
relative_absolute_error
0.49896535100189154
relative_absolute_error
0.5657910676539305
relative_absolute_error
0.5256956376627071
relative_absolute_error
0.5362935626915867
relative_absolute_error
0.5184171106018671
relative_absolute_error
0.5228862236242972
relative_absolute_error
0.5318244496691569
relative_absolute_error
0.5219231797522504
relative_absolute_error
0.5174622978740261
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.45579347410776366
root_mean_prior_squared_error
0.45579347410776366
root_mean_squared_error
0.4709686404196993
root_mean_squared_error
0.4549989335974991
root_mean_squared_error
0.4845105386957118
root_mean_squared_error
0.4670274109597855
root_mean_squared_error
0.4714045207910317
root_mean_squared_error
0.46348119143587135
root_mean_squared_error
0.4654746681256314
root_mean_squared_error
0.469436226095058
root_mean_squared_error
0.4654746681256314
root_mean_squared_error
0.46348119143587135
root_relative_squared_error
1.033853239193045
root_relative_squared_error
0.9987971192943149
root_relative_squared_error
1.0635799220248403
root_relative_squared_error
1.025201595550904
root_relative_squared_error
1.0361587305483444
root_relative_squared_error
1.0187430577572072
root_relative_squared_error
1.023124768549402
root_relative_squared_error
1.0318323703978245
root_relative_squared_error
1.0212403085340769
root_relative_squared_error
1.0168666682715384
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
usercpu_time_millis
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usercpu_time_millis
940.676143996825
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usercpu_time_millis
959.6285780062317
usercpu_time_millis_testing
71.43977899977472
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
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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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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
1035.1784229278564
wall_clock_time_millis
949.0611553192139
wall_clock_time_millis
1020.3111171722412
wall_clock_time_millis
1016.4923667907715
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_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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