6122453
1
Jan van Rijn
9977
Supervised Classification
7096
sklearn.model_selection._search.RandomizedSearchCV(estimator=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)
4156622
bootstrap
true
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class_weight
null
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criterion
"gini"
6902
max_depth
null
6902
max_features
"auto"
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
1
6902
min_samples_split
2
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
10
6902
n_jobs
1
6902
oob_score
false
6902
random_state
1
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 91, 95, 99, 103, 107, 111, 115]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 91, 95, 99, 103, 107, 111, 115]
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
cv
null
7096
error_score
"raise"
7096
fit_params
{}
7096
iid
true
7096
n_iter
50
7096
n_jobs
1
7096
param_distributions
{"classifier__min_samples_leaf": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "classifier__max_features": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], "classifier__bootstrap": [true, false], "classifier__criterion": ["gini", "entropy"], "imputation__strategy": ["mean", "median", "most_frequent"]}
7096
pre_dispatch
"2*n_jobs"
7096
random_state
23549
7096
refit
true
7096
return_train_score
true
7096
scoring
null
7096
verbose
0
7096
openml-python
Sklearn_0.18.1.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
13170211
description
https://api.openml.org/data/download/13170211/description.xml
-1
13170212
predictions
https://api.openml.org/data/download/13170212/predictions.arff
-1
13170213
trace
https://api.openml.org/data/download/13170213/trace.arff
area_under_roc_curve
0.9923965810100466 [0.992397,0.992397]
average_cost
0
f_measure
0.9675434312796081 [0.94311,0.977312]
kappa
0.920422613440062
kb_relative_information_score
30083.582934784426
mean_absolute_error
0.05382569075418373
mean_prior_absolute_error
0.4080904194746198
number_of_instances
34465 [9844,24621]
precision
0.9675281216397742 [0.944841,0.976599]
predictive_accuracy
0.9675612940664442
prior_entropy
0.8630164444447486
recall
0.9675612940664442 [0.941386,0.978027]
relative_absolute_error
0.13189648221460215
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.158253958452176
root_relative_squared_error
0.350343623984726
total_cost
0
area_under_roc_curve
0.9924436538823367 [0.992444,0.992444]
area_under_roc_curve
0.9914668442560421 [0.991467,0.991467]
area_under_roc_curve
0.9929247403167744 [0.992925,0.992925]
area_under_roc_curve
0.9946747928925763 [0.994675,0.994675]
area_under_roc_curve
0.9923000160820099 [0.9923,0.9923]
area_under_roc_curve
0.9919466954620805 [0.991947,0.991947]
area_under_roc_curve
0.9918598056309564 [0.99186,0.99186]
area_under_roc_curve
0.9931268286078474 [0.993127,0.993127]
area_under_roc_curve
0.990968204513483 [0.990968,0.990968]
area_under_roc_curve
0.9924075624285894 [0.992408,0.992408]
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
0.968058808893825 [0.943935,0.977697]
f_measure
0.9635015888279597 [0.936364,0.974359]
f_measure
0.9672328011498122 [0.942727,0.977037]
f_measure
0.971880906925498 [0.950886,0.980281]
f_measure
0.9695433629231616 [0.946728,0.978672]
f_measure
0.9647496174948528 [0.937725,0.975551]
f_measure
0.9669282375808956 [0.942132,0.976839]
f_measure
0.9712666527960501 [0.94967,0.979898]
f_measure
0.9643869077450195 [0.937973,0.974944]
f_measure
0.9678764109509129 [0.942946,0.97784]
kappa
0.921631726780632
kappa
0.9107235282872654
kappa
0.9197640739006598
kappa
0.931166797906341
kappa
0.9253990988983674
kappa
0.9132814199547198
kappa
0.9189706965841973
kappa
0.9295680319620921
kappa
0.9129187617337108
kappa
0.9207997499423329
kb_relative_information_score
3004.0122411920956
kb_relative_information_score
2987.263951660539
kb_relative_information_score
2986.89980086937
kb_relative_information_score
3043.5610383970593
kb_relative_information_score
3028.6470701160897
kb_relative_information_score
2976.173869499028
kb_relative_information_score
3004.6889989978167
kb_relative_information_score
3056.409628604726
kb_relative_information_score
2991.3088650934246
kb_relative_information_score
3004.617470356954
mean_absolute_error
0.05460518641718639
mean_absolute_error
0.055844150916911625
mean_absolute_error
0.056591675408406435
mean_absolute_error
0.05046712412094148
mean_absolute_error
0.05190495064557826
mean_absolute_error
0.05732244501094227
mean_absolute_error
0.05370081193520517
mean_absolute_error
0.04829616360153144
mean_absolute_error
0.05485682971379341
mean_absolute_error
0.05466748717305889
mean_prior_absolute_error
0.4080229059806574
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
number_of_instances
3447 [984,2463]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
precision
0.9680365330279137 [0.94683,0.976509]
precision
0.9635761170544626 [0.931658,0.976346]
precision
0.9672494960583078 [0.941296,0.977633]
precision
0.9719071556901553 [0.948485,0.981278]
precision
0.96954819347647 [0.946247,0.97887]
precision
0.9647366547885362 [0.949948,0.970647]
precision
0.9669390941971965 [0.941176,0.977236]
precision
0.9712624646084473 [0.950153,0.9797]
precision
0.9645110326359542 [0.930931,0.977932]
precision
0.9679965147765318 [0.962924,0.970024]
predictive_accuracy
0.9680881926312737
predictive_accuracy
0.9634464751958224
predictive_accuracy
0.9672178706121265
predictive_accuracy
0.9718595880475775
predictive_accuracy
0.9695387293298521
predictive_accuracy
0.9648868253047012
predictive_accuracy
0.9669181659895532
predictive_accuracy
0.9712710388856646
predictive_accuracy
0.9643064422518863
predictive_accuracy
0.9680789320951828
prior_entropy
0.8630164444447486
prior_entropy
0.8630164444447486
prior_entropy
0.8630164444447486
prior_entropy
0.8630164444447486
prior_entropy
0.8630164444447486
prior_entropy
0.8630164444447486
prior_entropy
0.8630164444447486
prior_entropy
0.8630164444447486
prior_entropy
0.8630164444447486
prior_entropy
0.8630164444447486
recall
0.9680881926312735 [0.941057,0.978888]
recall
0.9634464751958225 [0.941117,0.97238]
recall
0.9672178706121265 [0.944162,0.976442]
recall
0.9718595880475775 [0.953299,0.979285]
recall
0.9695387293298521 [0.947208,0.978473]
recall
0.9648868253047012 [0.925813,0.980504]
recall
0.9669181659895532 [0.943089,0.976442]
recall
0.9712710388856646 [0.949187,0.980097]
recall
0.9643064422518862 [0.945122,0.971974]
recall
0.9680789320951828 [0.92378,0.985784]
relative_absolute_error
0.13382872779151028
relative_absolute_error
0.13682352716674953
relative_absolute_error
0.1386550338848305
relative_absolute_error
0.12364929567043069
relative_absolute_error
0.12717210859397962
relative_absolute_error
0.14047607390116154
relative_absolute_error
0.13160079310158956
relative_absolute_error
0.11835600253855598
relative_absolute_error
0.13443376435508406
relative_absolute_error
0.13396975594197852
root_mean_prior_squared_error
0.4516359481339797
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_squared_error
0.15872497830904886
root_mean_squared_error
0.16283248151536397
root_mean_squared_error
0.16294125433152012
root_mean_squared_error
0.14792489642341658
root_mean_squared_error
0.15614585326446348
root_mean_squared_error
0.16601144686730712
root_mean_squared_error
0.15900720868711893
root_mean_squared_error
0.14649880430878462
root_mean_squared_error
0.16236639507924466
root_mean_squared_error
0.15891610198855816
root_relative_squared_error
0.35144451845529895
root_relative_squared_error
0.3604293676726508
root_relative_squared_error
0.36067013608066306
root_relative_squared_error
0.32743145829847076
root_relative_squared_error
0.34562852959719137
root_relative_squared_error
0.3675460215863398
root_relative_squared_error
0.35203877840551856
root_relative_squared_error
0.3243454213966814
root_relative_squared_error
0.3594759498626147
root_relative_squared_error
0.35183706999788894
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
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total_cost
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usercpu_time_millis
2038549.0940889977
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
2094464.0716850045
usercpu_time_millis_training
2068004.8012280022