6108486
1
Jan van Rijn
146606
Supervised Classification
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4142656
bootstrap
false
6902
class_weight
null
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criterion
"entropy"
6902
max_depth
null
6902
max_features
0.4605808077018675
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max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
2
6902
min_samples_split
5
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
5933
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[]
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
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
23512
higgs
https://www.openml.org/data/download/2063675/phpZLgL9q
-1
13140681
description
https://api.openml.org/data/download/13140681/description.xml
-1
13140682
predictions
https://api.openml.org/data/download/13140682/predictions.arff
area_under_roc_curve
0.7998366647626602 [0.799837,0.799837]
average_cost
0
f_measure
0.7210745169182405 [0.703158,0.737054]
kappa
0.4402182282299615
kb_relative_information_score
27660.39380023168
mean_absolute_error
0.3713240948495697
mean_prior_absolute_error
0.4983667141368659
number_of_instances
98050 [46223,51827]
precision
0.7210336133817081 [0.705709,0.734701]
predictive_accuracy
0.7211320754716981
prior_entropy
0.9976424301660018
recall
0.7211320754716981 [0.700625,0.739422]
relative_absolute_error
0.7450820536694057
root_mean_prior_squared_error
0.4991826723867985
root_mean_squared_error
0.42687769461303104
root_relative_squared_error
0.855153269988224
total_cost
0
area_under_roc_curve
0.8044815691315044 [0.804482,0.804482]
area_under_roc_curve
0.7991514037217466 [0.799151,0.799151]
area_under_roc_curve
0.8017011413992077 [0.801701,0.801701]
area_under_roc_curve
0.8020356509518812 [0.802036,0.802036]
area_under_roc_curve
0.8044666462346153 [0.804467,0.804467]
area_under_roc_curve
0.8006386421407469 [0.800639,0.800639]
area_under_roc_curve
0.8033771617810214 [0.803377,0.803377]
area_under_roc_curve
0.7884320498904942 [0.788432,0.788432]
area_under_roc_curve
0.7895997825330673 [0.7896,0.7896]
area_under_roc_curve
0.8046265029642476 [0.804627,0.804627]
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
0.726841030215696 [0.709733,0.742103]
f_measure
0.7170571122618095 [0.697832,0.734209]
f_measure
0.7252790290268124 [0.709385,0.739458]
f_measure
0.7221209800240471 [0.702632,0.739501]
f_measure
0.7235733982424336 [0.706137,0.739122]
f_measure
0.7235972719773212 [0.706583,0.73877]
f_measure
0.724918193282689 [0.707896,0.740098]
f_measure
0.7071824509997104 [0.687568,0.724674]
f_measure
0.7132907086828473 [0.695549,0.729112]
f_measure
0.7268480682486335 [0.708165,0.743509]
kappa
0.45183888669086414
kappa
0.43206853729005307
kappa
0.44884683922702123
kappa
0.4421765985703526
kappa
0.44526236390461577
kappa
0.44535330874522244
kappa
0.4479945833337943
kappa
0.4122625159688628
kappa
0.4246617626070805
kappa
0.45170280863140755
kb_relative_information_score
2804.8727394186194
kb_relative_information_score
2762.8489772516286
kb_relative_information_score
2775.0209244737857
kb_relative_information_score
2782.369871792156
kb_relative_information_score
2795.023659957569
kb_relative_information_score
2775.7316630724604
kb_relative_information_score
2821.866412511592
kb_relative_information_score
2649.5608930150406
kb_relative_information_score
2677.8172617559203
kb_relative_information_score
2815.2813969827534
mean_absolute_error
0.3696875743668199
mean_absolute_error
0.3711196668366528
mean_absolute_error
0.3711004589495183
mean_absolute_error
0.3706916539180708
mean_absolute_error
0.3701989631140607
mean_absolute_error
0.3710182729899753
mean_absolute_error
0.3686443991160955
mean_absolute_error
0.3763081761006326
mean_absolute_error
0.3752634710181947
mean_absolute_error
0.3692083120856736
mean_prior_absolute_error
0.4983707944371693
mean_prior_absolute_error
0.4983707944371693
mean_prior_absolute_error
0.4983707944371693
mean_prior_absolute_error
0.49836496543694453
mean_prior_absolute_error
0.49836496543694453
mean_prior_absolute_error
0.49836496543694453
mean_prior_absolute_error
0.49836496543694453
mean_prior_absolute_error
0.49836496543694453
mean_prior_absolute_error
0.49836496543694453
mean_prior_absolute_error
0.49836496543694453
number_of_instances
9805 [4623,5182]
number_of_instances
9805 [4623,5182]
number_of_instances
9805 [4623,5182]
number_of_instances
9805 [4622,5183]
number_of_instances
9805 [4622,5183]
number_of_instances
9805 [4622,5183]
number_of_instances
9805 [4622,5183]
number_of_instances
9805 [4622,5183]
number_of_instances
9805 [4622,5183]
number_of_instances
9805 [4622,5183]
precision
0.7268140715807166 [0.711275,0.740677]
precision
0.7170002646465351 [0.703118,0.729385]
precision
0.7253245295044232 [0.707553,0.741179]
precision
0.7220713740338369 [0.709372,0.733397]
precision
0.7235436872073129 [0.707826,0.73756]
precision
0.723585105362525 [0.707195,0.738201]
precision
0.7249019560565664 [0.70874,0.739315]
precision
0.7071222670390804 [0.691937,0.720664]
precision
0.7132736783442554 [0.696378,0.72834]
precision
0.7267964821826092 [0.713689,0.738485]
predictive_accuracy
0.726874043855176
predictive_accuracy
0.7171851096379399
predictive_accuracy
0.7252422233554309
predictive_accuracy
0.7222845486996431
predictive_accuracy
0.7236104028556859
predictive_accuracy
0.7236104028556859
predictive_accuracy
0.7249362570117287
predictive_accuracy
0.7072921978582356
predictive_accuracy
0.7133095359510453
predictive_accuracy
0.72697603263641
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
recall
0.726874043855176 [0.708198,0.743535]
recall
0.7171851096379398 [0.692624,0.739097]
recall
0.7252422233554309 [0.711226,0.737746]
recall
0.7222845486996431 [0.696019,0.745707]
recall
0.7236104028556859 [0.704457,0.740691]
recall
0.7236104028556859 [0.705971,0.73934]
recall
0.7249362570117287 [0.707053,0.740884]
recall
0.7072921978582356 [0.683254,0.728729]
recall
0.7133095359510454 [0.694721,0.729886]
recall
0.72697603263641 [0.702726,0.748601]
relative_absolute_error
0.7417922127325365
relative_absolute_error
0.7446657608734347
relative_absolute_error
0.7446272195155765
relative_absolute_error
0.7438156363842002
relative_absolute_error
0.7428270219386037
relative_absolute_error
0.744471017670118
relative_absolute_error
0.7397076935231277
relative_absolute_error
0.7550855340938786
relative_absolute_error
0.75298926899723
relative_absolute_error
0.7408392196308743
root_mean_prior_squared_error
0.4991867593509677
root_mean_prior_squared_error
0.4991867593509677
root_mean_prior_squared_error
0.4991867593509677
root_mean_prior_squared_error
0.4991809208203937
root_mean_prior_squared_error
0.4991809208203937
root_mean_prior_squared_error
0.4991809208203937
root_mean_prior_squared_error
0.4991809208203937
root_mean_prior_squared_error
0.4991809208203937
root_mean_prior_squared_error
0.4991809208203937
root_mean_prior_squared_error
0.4991809208203937
root_mean_squared_error
0.42477641427551627
root_mean_squared_error
0.42695825710031016
root_mean_squared_error
0.4261325252991115
root_mean_squared_error
0.425941493818292
root_mean_squared_error
0.42462331056559766
root_mean_squared_error
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root_mean_squared_error
0.42511079303655114
root_mean_squared_error
0.4320920793933968
root_mean_squared_error
0.43181970310749496
root_mean_squared_error
0.4245135296486809
root_relative_squared_error
0.8509368614420018
root_relative_squared_error
0.8553076561073705
root_relative_squared_error
0.8536535020543419
root_relative_squared_error
0.8532807967064642
root_relative_squared_error
0.8506401043287829
root_relative_squared_error
0.8548510729734877
root_relative_squared_error
0.8516166690383322
root_relative_squared_error
0.8656021521881528
root_relative_squared_error
0.8650565057610937
root_relative_squared_error
0.8504201822277211
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
0
total_cost
0
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_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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