6264920
1
Jan van Rijn
219
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
4297919
axis
0
6947
categorical_features
[1]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[1]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
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sparse
true
6948
threshold
0.0
6949
C
1.2189928101724323
6953
cache_size
200
6953
class_weight
null
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coef0
-0.3336049475450156
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decision_function_shape
null
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degree
1
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gamma
0.20909408180487793
6953
kernel
"poly"
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max_iter
-1
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probability
true
6953
random_state
41153
6953
shrinking
true
6953
tol
2.2877538042244277e-05
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
151
electricity
https://www.openml.org/data/download/2419/electricity-normalized.arff
-1
13459959
description
https://api.openml.org/data/download/13459959/description.xml
-1
13459960
predictions
https://api.openml.org/data/download/13459960/predictions.arff
area_under_roc_curve
0.8248715604830517 [0.824872,0.824872]
average_cost
0
f_measure
0.7549967239915316 [0.690023,0.802931]
kappa
0.49568771852080706
kb_relative_information_score
16024.54940550721
mean_absolute_error
0.32894481614347365
mean_prior_absolute_error
0.4886137014923867
number_of_instances
45312 [19237,26075]
precision
0.7591774847412576 [0.760213,0.758414]
predictive_accuracy
0.7590483757062146
prior_entropy
0.9835108518537583
recall
0.7590483757062146 [0.631699,0.853001]
relative_absolute_error
0.6732206140326563
root_mean_prior_squared_error
0.4942738102212943
root_mean_squared_error
0.40644949008120257
root_relative_squared_error
0.8223164603830184
total_cost
0
area_under_roc_curve
0.8251298579136003 [0.82513,0.82513]
area_under_roc_curve
0.8204291847888473 [0.820429,0.820429]
area_under_roc_curve
0.8110010072035388 [0.811001,0.811001]
area_under_roc_curve
0.8270434947650137 [0.827043,0.827043]
area_under_roc_curve
0.826057623525978 [0.826058,0.826058]
area_under_roc_curve
0.8208768651806626 [0.820877,0.820877]
area_under_roc_curve
0.8387672881343767 [0.838767,0.838767]
area_under_roc_curve
0.832551108792818 [0.832551,0.832551]
area_under_roc_curve
0.818128806440601 [0.818129,0.818129]
area_under_roc_curve
0.8289134556179794 [0.828913,0.828913]
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
0.7548454002314378 [0.688375,0.803883]
f_measure
0.7569106045841951 [0.692918,0.80412]
f_measure
0.74356712570672 [0.675014,0.79416]
f_measure
0.7585716321625239 [0.697505,0.80364]
f_measure
0.7496694355749388 [0.68118,0.800215]
f_measure
0.7544491475042115 [0.688338,0.80324]
f_measure
0.7672511561242443 [0.709137,0.81014]
f_measure
0.7622186091834704 [0.697714,0.809781]
f_measure
0.7473492486079417 [0.678674,0.797987]
f_measure
0.7549484658052166 [0.690806,0.802244]
kappa
0.49537733118491933
kappa
0.4996280328765158
kappa
0.4721944376838989
kappa
0.5031461471879597
kappa
0.48477197112150155
kappa
0.4945946114195435
kappa
0.521043187511303
kappa
0.510505181164622
kappa
0.47989682993892574
kappa
0.49554700854091427
kb_relative_information_score
1591.9160139696342
kb_relative_information_score
1582.6654943187823
kb_relative_information_score
1520.499346117102
kb_relative_information_score
1620.6059868010793
kb_relative_information_score
1610.5202461823003
kb_relative_information_score
1584.5680991378579
kb_relative_information_score
1673.4236315135245
kb_relative_information_score
1652.1950040116164
kb_relative_information_score
1559.852729876112
kb_relative_information_score
1628.302853579213
mean_absolute_error
0.33027212814098417
mean_absolute_error
0.3311650005217807
mean_absolute_error
0.33687010816925445
mean_absolute_error
0.3269406031800549
mean_absolute_error
0.3276667545083826
mean_absolute_error
0.33088249549867804
mean_absolute_error
0.3225244609372365
mean_absolute_error
0.3242436107796149
mean_absolute_error
0.3328318903237205
mean_absolute_error
0.3260503264360819
mean_prior_absolute_error
0.48861238171727794
mean_prior_absolute_error
0.48861238171727794
mean_prior_absolute_error
0.48862652068817236
mean_prior_absolute_error
0.48862652068817236
mean_prior_absolute_error
0.48862652068817236
mean_prior_absolute_error
0.48862652068817236
mean_prior_absolute_error
0.48862652068817236
mean_prior_absolute_error
0.4885932162099533
mean_prior_absolute_error
0.4885932162099533
mean_prior_absolute_error
0.4885932162099533
number_of_instances
4532 [1924,2608]
number_of_instances
4532 [1924,2608]
number_of_instances
4531 [1924,2607]
number_of_instances
4531 [1924,2607]
number_of_instances
4531 [1924,2607]
number_of_instances
4531 [1924,2607]
number_of_instances
4531 [1924,2607]
number_of_instances
4531 [1923,2608]
number_of_instances
4531 [1923,2608]
number_of_instances
4531 [1923,2608]
precision
0.7598359756854234 [0.764109,0.756684]
precision
0.7608888733557914 [0.761519,0.760424]
precision
0.7477260869418434 [0.745912,0.749065]
precision
0.7614043303963789 [0.757152,0.764543]
precision
0.754890731871569 [0.758775,0.752024]
precision
0.7592012776755142 [0.762476,0.756784]
precision
0.7699237102552563 [0.766767,0.772253]
precision
0.7674060870315264 [0.774255,0.762356]
precision
0.7521335899840079 [0.753651,0.751015]
precision
0.75863133058516 [0.757444,0.759507]
predictive_accuracy
0.7592674315975287
predictive_accuracy
0.7608120035304502
predictive_accuracy
0.7479585080556168
predictive_accuracy
0.7618627234606048
predictive_accuracy
0.7543588611785478
predictive_accuracy
0.7587728978150519
predictive_accuracy
0.7702493930699624
predictive_accuracy
0.766497461928934
predictive_accuracy
0.7519311410284705
predictive_accuracy
0.7587728978150519
prior_entropy
0.9835108518537583
prior_entropy
0.9835108518537583
prior_entropy
0.9835108518537583
prior_entropy
0.9835108518537583
prior_entropy
0.9835108518537583
prior_entropy
0.9835108518537583
prior_entropy
0.9835108518537583
prior_entropy
0.9835108518537583
prior_entropy
0.9835108518537583
prior_entropy
0.9835108518537583
recall
0.7592674315975286 [0.626299,0.857362]
recall
0.7608120035304501 [0.635655,0.853144]
recall
0.7479585080556168 [0.616424,0.845033]
recall
0.7618627234606047 [0.64657,0.846951]
recall
0.7543588611785478 [0.617983,0.855006]
recall
0.7587728978150519 [0.627339,0.855773]
recall
0.7702493930699624 [0.659563,0.851937]
recall
0.766497461928934 [0.634945,0.863497]
recall
0.7519311410284706 [0.617265,0.851227]
recall
0.7587728978150519 [0.634945,0.850077]
relative_absolute_error
0.6759389252073581
relative_absolute_error
0.6777662886025679
relative_absolute_error
0.689422480987755
relative_absolute_error
0.6691012242225369
relative_absolute_error
0.6705873312952866
relative_absolute_error
0.6771685151937095
relative_absolute_error
0.6600633557159346
relative_absolute_error
0.6636269191266958
relative_absolute_error
0.6812044852065636
relative_absolute_error
0.6673247102472558
root_mean_prior_squared_error
0.49427247515480305
root_mean_prior_squared_error
0.49427247515480305
root_mean_prior_squared_error
0.4942867777581652
root_mean_prior_squared_error
0.4942867777581652
root_mean_prior_squared_error
0.4942867777581652
root_mean_prior_squared_error
0.4942867777581652
root_mean_prior_squared_error
0.4942867777581652
root_mean_prior_squared_error
0.494253087181386
root_mean_prior_squared_error
0.494253087181386
root_mean_prior_squared_error
0.494253087181386
root_mean_squared_error
0.40591060255764033
root_mean_squared_error
0.4089777361948387
root_mean_squared_error
0.41508759238421117
root_mean_squared_error
0.40536735543138647
root_mean_squared_error
0.40610441147729526
root_mean_squared_error
0.4084957176880252
root_mean_squared_error
0.39715948136784823
root_mean_squared_error
0.4017794626457672
root_mean_squared_error
0.4107381560788498
root_mean_squared_error
0.40460739714417626
root_relative_squared_error
0.8212284174442683
root_relative_squared_error
0.8274337673097201
root_relative_squared_error
0.8397707789531382
root_relative_squared_error
0.820105601994712
root_relative_squared_error
0.8215967526365553
root_relative_squared_error
0.8264346449661372
root_relative_squared_error
0.803500112159914
root_relative_squared_error
0.8129022823853765
root_relative_squared_error
0.8310280031252754
root_relative_squared_error
0.8186239148278489
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
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total_cost
0
total_cost
0
usercpu_time_millis
235492.40368400206
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
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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_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_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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usercpu_time_millis_training
233715.5631679998