10226406
1
Jan van Rijn
9967
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)
8151838
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": [0, 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": []}}]
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
"median"
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
"mae"
9667
init
null
9667
learning_rate
0.00012674515669295944
9667
loss
"deviance"
9667
max_depth
27
9667
max_features
0.5102238131563018
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.1700867160991112
9667
min_impurity_split
null
9667
min_samples_leaf
7
9667
min_samples_split
2
9667
min_weight_fraction_leaf
0.1886885630284308
9667
n_estimators
1806
9667
n_iter_no_change
362
9667
presort
"auto"
9667
random_state
64689
9667
subsample
0.2806979733571683
9667
tol
0.003810563934699841
9667
validation_fraction
0.6574548228308754
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
1504
steel-plates-fault
https://www.openml.org/data/download/1592296/php9xWOpn
-1
21373728
description
https://api.openml.org/data/download/21373728/description.xml
-1
21373729
predictions
https://api.openml.org/data/download/21373729/predictions.arff
area_under_roc_curve
0.4995588049179483 [0.499559,0.499559]
average_cost
0
kappa
0
kb_relative_information_score
-45.25253632236787
mean_absolute_error
0.45841475731510006
mean_prior_absolute_error
0.45306405137877787
number_of_instances
1941 [1268,673]
predictive_accuracy
0.6532715095311695
prior_entropy
0.9312564359502772
recall
0.6532715095311695 [1,0]
relative_absolute_error
1.0118100430171821
root_mean_prior_squared_error
0.47592842871248736
root_mean_squared_error
0.47625502554754906
root_relative_squared_error
1.000686230986338
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
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
-4.1256165094129935
kb_relative_information_score
-4.603759680554834
kb_relative_information_score
-4.603759680554834
kb_relative_information_score
-4.603759680554834
kb_relative_information_score
-4.603759680554834
kb_relative_information_score
-4.603759680554834
kb_relative_information_score
-4.603759680554834
kb_relative_information_score
-4.603759680554834
kb_relative_information_score
-4.450301024536339
kb_relative_information_score
-4.450301024536339
mean_absolute_error
0.45851917658495794
mean_absolute_error
0.458092670707728
mean_absolute_error
0.458092670707728
mean_absolute_error
0.458092670707728
mean_absolute_error
0.458092670707728
mean_absolute_error
0.458092670707728
mean_absolute_error
0.458092670707728
mean_absolute_error
0.458092670707728
mean_absolute_error
0.45948958168413706
mean_absolute_error
0.45948958168413706
mean_prior_absolute_error
0.4536732781714767
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.45422372672718864
mean_prior_absolute_error
0.45422372672718864
number_of_instances
195 [127,68]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [126,68]
number_of_instances
194 [126,68]
predictive_accuracy
0.6512820512820512
predictive_accuracy
0.654639175257732
predictive_accuracy
0.654639175257732
predictive_accuracy
0.654639175257732
predictive_accuracy
0.654639175257732
predictive_accuracy
0.654639175257732
predictive_accuracy
0.654639175257732
predictive_accuracy
0.654639175257732
predictive_accuracy
0.6494845360824741
predictive_accuracy
0.6494845360824741
prior_entropy
0.9312564359502772
prior_entropy
0.9312564359502772
prior_entropy
0.9312564359502772
prior_entropy
0.9312564359502772
prior_entropy
0.9312564359502772
prior_entropy
0.9312564359502772
prior_entropy
0.9312564359502772
prior_entropy
0.9312564359502772
prior_entropy
0.9312564359502772
prior_entropy
0.9312564359502772
recall
0.6512820512820513 [1,0]
recall
0.654639175257732 [1,0]
recall
0.654639175257732 [1,0]
recall
0.654639175257732 [1,0]
recall
0.654639175257732 [1,0]
recall
0.654639175257732 [1,0]
recall
0.654639175257732 [1,0]
recall
0.654639175257732 [1,0]
recall
0.6494845360824743 [1,0]
recall
0.6494845360824743 [1,0]
relative_absolute_error
1.0106814719901789
relative_absolute_error
1.0120346703038459
relative_absolute_error
1.0120346703038459
relative_absolute_error
1.0120346703038459
relative_absolute_error
1.0120346703038459
relative_absolute_error
1.0120346703038459
relative_absolute_error
1.0120346703038459
relative_absolute_error
1.0120346703038459
relative_absolute_error
1.0115930865058291
relative_absolute_error
1.0115930865058291
root_mean_prior_squared_error
0.4765680392655914
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.4771452028525092
root_mean_prior_squared_error
0.4771452028525092
root_mean_squared_error
0.4767755641563714
root_mean_squared_error
0.4758708013155733
root_mean_squared_error
0.4758708013155733
root_mean_squared_error
0.4758708013155733
root_mean_squared_error
0.4758708013155733
root_mean_squared_error
0.4758708013155733
root_mean_squared_error
0.4758708013155733
root_mean_squared_error
0.4758708013155733
root_mean_squared_error
0.4773362866168199
root_mean_squared_error
0.4773362866168199
root_relative_squared_error
1.000435457004418
root_relative_squared_error
1.0008045961383292
root_relative_squared_error
1.0008045961383292
root_relative_squared_error
1.0008045961383292
root_relative_squared_error
1.0008045961383292
root_relative_squared_error
1.0008045961383292
root_relative_squared_error
1.0008045961383292
root_relative_squared_error
1.0008045961383292
root_relative_squared_error
1.0004004729863538
root_relative_squared_error
1.0004004729863538
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
701.9456599955447
usercpu_time_millis
623.9419469929999
usercpu_time_millis
619.6003489967552
usercpu_time_millis
612.2700169944437
usercpu_time_millis
618.6836740089348
usercpu_time_millis
614.1218319971813
usercpu_time_millis
617.3938349966193
usercpu_time_millis
619.86330000218
usercpu_time_millis
618.9426150012878
usercpu_time_millis
618.0398869983037
usercpu_time_millis_testing
1.0665999943739735
usercpu_time_millis_testing
1.1276709992671385
usercpu_time_millis_testing
1.1790119970100932
usercpu_time_millis_testing
0.9140609981841408
usercpu_time_millis_testing
1.0882830029004253
usercpu_time_millis_testing
0.9955669956980273
usercpu_time_millis_testing
1.0895719969994389
usercpu_time_millis_testing
1.4080359978834167
usercpu_time_millis_testing
1.163114000519272
usercpu_time_millis_testing
1.0114629985764623
usercpu_time_millis_training
700.8790600011707
usercpu_time_millis_training
622.8142759937327
usercpu_time_millis_training
618.4213369997451
usercpu_time_millis_training
611.3559559962596
usercpu_time_millis_training
617.5953910060343
usercpu_time_millis_training
613.1262650014833
usercpu_time_millis_training
616.3042629996198
usercpu_time_millis_training
618.4552640042966
usercpu_time_millis_training
617.7795010007685
usercpu_time_millis_training
617.0284239997272