10325219
8323
Heinrich Peters
10093
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8180904
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
0.03598376622731902
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.1873652421270311
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
5.555947686048554
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
12959
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.
1462
banknote-authentication
https://www.openml.org/data/download/1586223/php50jXam
-1
21572124
description
https://api.openml.org/data/download/21572124/description.xml
-1
21572125
predictions
https://api.openml.org/data/download/21572125/predictions.arff
area_under_roc_curve
0.7655737704918033 [0.765574,0.765574]
average_cost
0
f_measure
0.7760988130795823 [0.841989,0.69379]
kappa
0.5572036002202742
kb_relative_information_score
0.5756222108025617
mean_absolute_error
0.20845481049562684
mean_prior_absolute_error
0.49387203415364794
number_of_instances
1372 [762,610]
precision
0.8484326664144392 [0.727099,1]
predictive_accuracy
0.7915451895043732
prior_entropy
0.9911281447384036
recall
0.7915451895043731 [1,0.531148]
relative_absolute_error
0.4220826369584934
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.45656851675912435
root_relative_squared_error
0.9187929694875453
total_cost
0
area_under_roc_curve
0.7295081967213115 [0.729508,0.729508]
area_under_roc_curve
0.7704918032786885 [0.770492,0.770492]
area_under_roc_curve
0.7377049180327869 [0.737705,0.737705]
area_under_roc_curve
0.7540983606557377 [0.754098,0.754098]
area_under_roc_curve
0.819672131147541 [0.819672,0.819672]
area_under_roc_curve
0.6967213114754098 [0.696721,0.696721]
area_under_roc_curve
0.7950819672131146 [0.795082,0.795082]
area_under_roc_curve
0.7459016393442623 [0.745902,0.745902]
area_under_roc_curve
0.7950819672131146 [0.795082,0.795082]
area_under_roc_curve
0.8114754098360657 [0.811475,0.811475]
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
0.7376361389695106 [0.823529,0.629213]
f_measure
0.7824900970136863 [0.846154,0.702128]
f_measure
0.7452096336260094 [0.826087,0.644444]
f_measure
0.763366592151105 [0.835165,0.673913]
f_measure
0.8319036831948989 [0.873563,0.78]
f_measure
0.6975821309870258 [0.804233,0.564706]
f_measure
0.8068896878731953 [0.858757,0.742268]
f_measure
0.7543464472984636 [0.830601,0.659341]
f_measure
0.8068896878731953 [0.858757,0.742268]
f_measure
0.8236475284650467 [0.868571,0.767677]
kappa
0.48635235732009935
kappa
0.568075117370892
kappa
0.5013648771610554
kappa
0.5341192473362051
kappa
0.6629389398344888
kappa
0.41849260066536653
kappa
0.6150387771158817
kappa
0.5177699557170434
kappa
0.6150387771158817
kappa
0.6470258765542736
kb_relative_information_score
0.5127658638028068
kb_relative_information_score
0.5865892177720786
kb_relative_information_score
0.5245783120599262
kb_relative_information_score
0.5542921675561809
kb_relative_information_score
0.6731475895411994
kb_relative_information_score
0.45029367331929004
kb_relative_information_score
0.6285768062968176
kb_relative_information_score
0.5394352398080535
kb_relative_information_score
0.6285768062968176
kb_relative_information_score
0.6582906617930719
mean_absolute_error
0.2391304347826087
mean_absolute_error
0.2028985507246377
mean_absolute_error
0.23357664233576642
mean_absolute_error
0.21897810218978103
mean_absolute_error
0.16058394160583941
mean_absolute_error
0.27007299270072993
mean_absolute_error
0.18248175182481752
mean_absolute_error
0.22627737226277372
mean_absolute_error
0.18248175182481752
mean_absolute_error
0.1678832116788321
mean_prior_absolute_error
0.49358690378246245
mean_prior_absolute_error
0.49358690378246245
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
number_of_instances
138 [77,61]
number_of_instances
138 [77,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
precision
0.832608695652174 [0.7,1]
precision
0.851207729468599 [0.733333,1]
precision
0.8356312516896458 [0.703704,1]
precision
0.8429968323922324 [0.716981,1]
precision
0.8754655146730225 [0.77551,1]
precision
0.8183579872101285 [0.672566,1]
precision
0.86268699862687 [0.752475,1]
precision
0.8392796234395252 [0.71028,1]
precision
0.86268699862687 [0.752475,1]
precision
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predictive_accuracy
0.7608695652173912
predictive_accuracy
0.7971014492753623
predictive_accuracy
0.7664233576642335
predictive_accuracy
0.7810218978102189
predictive_accuracy
0.8394160583941606
predictive_accuracy
0.7299270072992701
predictive_accuracy
0.8175182481751826
predictive_accuracy
0.7737226277372262
predictive_accuracy
0.8175182481751826
predictive_accuracy
0.8321167883211679
prior_entropy
0.9903020513891087
prior_entropy
0.9903020513891087
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
recall
0.7608695652173914 [1,0.459016]
recall
0.7971014492753623 [1,0.540984]
recall
0.7664233576642335 [1,0.47541]
recall
0.781021897810219 [1,0.508197]
recall
0.8394160583941606 [1,0.639344]
recall
0.7299270072992701 [1,0.393443]
recall
0.8175182481751825 [1,0.590164]
recall
0.7737226277372263 [1,0.491803]
recall
0.8175182481751825 [1,0.590164]
recall
0.8321167883211679 [1,0.622951]
relative_absolute_error
0.4844748370552396
relative_absolute_error
0.4110695587135366
relative_absolute_error
0.4728809731229619
relative_absolute_error
0.4433259123027768
relative_absolute_error
0.3251056690220363
relative_absolute_error
0.5467686251734246
relative_absolute_error
0.36943826025231397
relative_absolute_error
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relative_absolute_error
0.36943826025231397
relative_absolute_error
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root_mean_prior_squared_error
0.49663510423610374
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
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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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wall_clock_time_millis
177.56271362304688
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