10223636
1
Jan van Rijn
14967
Supervised Classification
9666
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(4)
8149068
copy
true
9559
fill_value
-1
9559
missing_values
NaN
9559
strategy
"constant"
9559
verbose
0
9559
n_jobs
null
9606
remainder
"passthrough"
9606
sparse_threshold
0.3
9606
transformer_weights
null
9606
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 1]}}]
9606
memory
null
9607
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
9607
axis
0
9608
copy
true
9608
missing_values
"NaN"
9608
strategy
"mean"
9608
verbose
0
9608
copy
true
9609
with_mean
true
9609
with_std
true
9609
memory
null
9610
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
9610
categorical_features
null
9611
categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
9611
sparse
true
9611
threshold
0.0
9612
memory
null
9666
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
9666
criterion
"friedman_mse"
9667
init
null
9667
learning_rate
1.559311085119044e-05
9667
loss
"deviance"
9667
max_depth
29
9667
max_features
0.09132307241276227
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.027347589382782034
9667
min_impurity_split
null
9667
min_samples_leaf
8
9667
min_samples_split
2
9667
min_weight_fraction_leaf
0.35191474361784714
9667
n_estimators
258
9667
n_iter_no_change
165
9667
presort
"auto"
9667
random_state
57814
9667
subsample
0.6959641367181845
9667
tol
0.001173264584980728
9667
validation_fraction
0.783223551775579
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
21368188
description
https://api.openml.org/data/download/21368188/description.xml
-1
21368189
predictions
https://api.openml.org/data/download/21368189/predictions.arff
area_under_roc_curve
0.5916252234217788 [0.556221,0.541091,0.617034,0.49966,0.71512,0.650804]
average_cost
0
kappa
0
kb_relative_information_score
100.38421373017003
mean_absolute_error
0.2770718383524258
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
predictive_accuracy
0.24320457796852646
prior_entropy
2.5206634795042744
recall
0.24320457796852646 [0,0,1,0,0,0]
relative_absolute_error
1.0153615771120488
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.37179965315474883
root_relative_squared_error
1.0065758197717174
total_cost
0
area_under_roc_curve
0.6164274491680739 [0.626281,0.553623,0.647995,0.475854,0.633636,0.82646]
area_under_roc_curve
0.6060069564432399 [0.594517,0.638929,0.56576,0.43133,0.728391,0.826531]
area_under_roc_curve
0.6374017033760335 [0.719517,0.539216,0.60145,0.491352,0.746352,0.780329]
area_under_roc_curve
0.6384300681090315 [0.605817,0.580882,0.648099,0.53014,0.754822,0.779195]
area_under_roc_curve
0.6082488947260603 [0.587916,0.662363,0.544395,0.543143,0.689509,0.746596]
area_under_roc_curve
0.6280258078409885 [0.590789,0.624373,0.609011,0.529797,0.728033,0.79432]
area_under_roc_curve
0.6290335535356337 [0.575075,0.509904,0.719926,0.453001,0.826552,0.6893]
area_under_roc_curve
0.6262775553150656 [0.686305,0.52479,0.622979,0.492819,0.656771,0.840315]
area_under_roc_curve
0.615736862461754 [0.608029,0.57437,0.617089,0.471491,0.741662,0.757275]
area_under_roc_curve
0.6457022187681642 [0.601114,0.603661,0.652216,0.573658,0.707806,0.815844]
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
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
10.18404392059368
kb_relative_information_score
10.187432048426366
kb_relative_information_score
10.185379224152774
kb_relative_information_score
10.183490101854197
kb_relative_information_score
9.895485120998377
kb_relative_information_score
10.039103016684207
kb_relative_information_score
9.926576319983027
kb_relative_information_score
9.927249588369632
kb_relative_information_score
9.926348725017245
kb_relative_information_score
9.929105664091205
mean_absolute_error
0.27708360910148044
mean_absolute_error
0.27708446600848935
mean_absolute_error
0.2770829335632409
mean_absolute_error
0.2770833538880717
mean_absolute_error
0.2770759706040907
mean_absolute_error
0.27707601518578456
mean_absolute_error
0.27705809658405295
mean_absolute_error
0.2770571236380277
mean_absolute_error
0.2770590936128642
mean_absolute_error
0.2770575230649036
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272804289453111
mean_prior_absolute_error
0.27287651677373237
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24372759856630824
predictive_accuracy
0.24372759856630824
predictive_accuracy
0.24372759856630824
predictive_accuracy
0.24372759856630824
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
relative_absolute_error
1.0153116525124495
relative_absolute_error
1.0153147924588146
relative_absolute_error
1.0153091771518585
relative_absolute_error
1.015310717339313
relative_absolute_error
1.0156584090358076
relative_absolute_error
1.0153897391453968
relative_absolute_error
1.01533073695801
relative_absolute_error
1.0153271714170025
relative_absolute_error
1.0153343907548495
relative_absolute_error
1.0153286351908075
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36926827610333357
root_mean_prior_squared_error
0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.37181370325866125
root_mean_squared_error
0.37181477331400853
root_mean_squared_error
0.37181279228498687
root_mean_squared_error
0.37181341519861766
root_mean_squared_error
0.37180354897612405
root_mean_squared_error
0.3718043431523692
root_mean_squared_error
0.37178361232627954
root_mean_squared_error
0.37178237095805705
root_mean_squared_error
0.3717849100251092
root_mean_squared_error
0.37178282777237875
root_relative_squared_error
1.0065216042020584
root_relative_squared_error
1.0065245009049375
root_relative_squared_error
1.006519138142642
root_relative_squared_error
1.0065208244065462
root_relative_squared_error
1.0068656666084173
root_relative_squared_error
1.0066012618852667
root_relative_squared_error
1.0065517426257706
root_relative_squared_error
1.0065483817962286
root_relative_squared_error
1.0065552559624944
root_relative_squared_error
1.0065496185566352
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
1314.7294459995464
usercpu_time_millis
1259.0470049981377
usercpu_time_millis
1236.7720090005605
usercpu_time_millis
1254.1259229983552
usercpu_time_millis
1245.7880649999424
usercpu_time_millis
1245.8146390017646
usercpu_time_millis
1288.6800000014773
usercpu_time_millis
1243.3982590009691
usercpu_time_millis
1238.9397239967366
usercpu_time_millis
1242.8914439988148
usercpu_time_millis_testing
4.211711999232648
usercpu_time_millis_testing
4.131557998334756
usercpu_time_millis_testing
4.115724001167109
usercpu_time_millis_testing
4.819412999495398
usercpu_time_millis_testing
4.150381999352248
usercpu_time_millis_testing
4.046935002406826
usercpu_time_millis_testing
4.290996999770869
usercpu_time_millis_testing
4.056163001223467
usercpu_time_millis_testing
4.0125769992300775
usercpu_time_millis_testing
4.097674998774892
usercpu_time_millis_training
1310.5177340003138
usercpu_time_millis_training
1254.915446999803
usercpu_time_millis_training
1232.6562849993934
usercpu_time_millis_training
1249.3065099988598
usercpu_time_millis_training
1241.6376830005902
usercpu_time_millis_training
1241.7677039993578
usercpu_time_millis_training
1284.3890030017064
usercpu_time_millis_training
1239.3420959997457
usercpu_time_millis_training
1234.9271469975065
usercpu_time_millis_training
1238.79376900004