10218736
1
Jan van Rijn
3913
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)
8144168
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]}}, {"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
"mse"
9667
init
null
9667
learning_rate
9.583466449603216e-05
9667
loss
"deviance"
9667
max_depth
13
9667
max_features
0.6029530847528906
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.2702056065488109
9667
min_impurity_split
null
9667
min_samples_leaf
9
9667
min_samples_split
16
9667
min_weight_fraction_leaf
0.4099927875237743
9667
n_estimators
576
9667
n_iter_no_change
878
9667
presort
"auto"
9667
random_state
4716
9667
subsample
0.016649025844520216
9667
tol
2.6434979390614976e-05
9667
validation_fraction
0.2497122765297165
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
1063
kc2
https://www.openml.org/data/download/53946/kc2.arff
-1
21358388
description
https://api.openml.org/data/download/21358388/description.xml
-1
21358389
predictions
https://api.openml.org/data/download/21358389/predictions.arff
area_under_roc_curve
0.48961828622902825 [0.489618,0.489618]
average_cost
0
kappa
0
kb_relative_information_score
-34.68680769576954
mean_absolute_error
0.33378324424700767
mean_prior_absolute_error
0.3265917931619429
number_of_instances
522 [415,107]
predictive_accuracy
0.7950191570881227
prior_entropy
0.7339749614986164
recall
0.7950191570881227 [1,0]
relative_absolute_error
1.0220196931938788
root_mean_prior_squared_error
0.40368919342550386
root_mean_squared_error
0.40396096701354467
root_relative_squared_error
1.0006732248285735
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
-1.4483386533378941
kb_relative_information_score
-1.4483386533378941
kb_relative_information_score
-4.638430600089968
kb_relative_information_score
-4.638430600089968
kb_relative_information_score
-4.638430600089968
kb_relative_information_score
-3.5749677177647756
kb_relative_information_score
-3.5749677177647756
kb_relative_information_score
-3.5749677177647756
kb_relative_information_score
-3.5749677177647756
kb_relative_information_score
-3.5749677177647756
mean_absolute_error
0.33100002500060244
mean_absolute_error
0.33100002500060244
mean_absolute_error
0.32884954663926563
mean_absolute_error
0.32884954663926563
mean_absolute_error
0.32884954663926563
mean_absolute_error
0.33787815988903197
mean_absolute_error
0.33787815988903197
mean_absolute_error
0.33787815988903197
mean_absolute_error
0.33787815988903197
mean_absolute_error
0.33787815988903197
mean_prior_absolute_error
0.32810024485092887
mean_prior_absolute_error
0.32810024485092887
mean_prior_absolute_error
0.3191426893716969
mean_prior_absolute_error
0.3191426893716969
mean_prior_absolute_error
0.3191426893716969
mean_prior_absolute_error
0.3304462712859658
mean_prior_absolute_error
0.3304462712859658
mean_prior_absolute_error
0.3304462712859658
mean_prior_absolute_error
0.3304462712859658
mean_prior_absolute_error
0.3304462712859658
number_of_instances
53 [42,11]
number_of_instances
53 [42,11]
number_of_instances
52 [42,10]
number_of_instances
52 [42,10]
number_of_instances
52 [42,10]
number_of_instances
52 [41,11]
number_of_instances
52 [41,11]
number_of_instances
52 [41,11]
number_of_instances
52 [41,11]
number_of_instances
52 [41,11]
predictive_accuracy
0.7924528301886792
predictive_accuracy
0.7924528301886792
predictive_accuracy
0.8076923076923077
predictive_accuracy
0.8076923076923077
predictive_accuracy
0.8076923076923077
predictive_accuracy
0.7884615384615384
predictive_accuracy
0.7884615384615384
predictive_accuracy
0.7884615384615384
predictive_accuracy
0.7884615384615384
predictive_accuracy
0.7884615384615384
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
recall
0.7924528301886793 [1,0]
recall
0.7924528301886793 [1,0]
recall
0.8076923076923077 [1,0]
recall
0.8076923076923077 [1,0]
recall
0.8076923076923077 [1,0]
recall
0.7884615384615384 [1,0]
recall
0.7884615384615384 [1,0]
recall
0.7884615384615384 [1,0]
recall
0.7884615384615384 [1,0]
recall
0.7884615384615384 [1,0]
relative_absolute_error
1.0088380920013975
relative_absolute_error
1.0088380920013975
relative_absolute_error
1.0304154147684814
relative_absolute_error
1.0304154147684814
relative_absolute_error
1.0304154147684814
relative_absolute_error
1.0224904598685414
relative_absolute_error
1.0224904598685414
relative_absolute_error
1.0224904598685414
relative_absolute_error
1.0224904598685414
relative_absolute_error
1.0224904598685414
root_mean_prior_squared_error
0.4055532228666397
root_mean_prior_squared_error
0.4055532228666397
root_mean_prior_squared_error
0.39435499375345345
root_mean_prior_squared_error
0.39435499375345345
root_mean_prior_squared_error
0.39435499375345345
root_mean_prior_squared_error
0.4084353596501597
root_mean_prior_squared_error
0.4084353596501597
root_mean_prior_squared_error
0.4084353596501597
root_mean_prior_squared_error
0.4084353596501597
root_mean_prior_squared_error
0.4084353596501597
root_mean_squared_error
0.4055659183664669
root_mean_squared_error
0.4055659183664669
root_mean_squared_error
0.395221451249503
root_mean_squared_error
0.395221451249503
root_mean_squared_error
0.395221451249503
root_mean_squared_error
0.4084671939430001
root_mean_squared_error
0.4084671939430001
root_mean_squared_error
0.4084671939430001
root_mean_squared_error
0.4084671939430001
root_mean_squared_error
0.4084671939430001
root_relative_squared_error
1.000031304152233
root_relative_squared_error
1.000031304152233
root_relative_squared_error
1.0021971510688952
root_relative_squared_error
1.0021971510688952
root_relative_squared_error
1.0021971510688952
root_relative_squared_error
1.0000779420588553
root_relative_squared_error
1.0000779420588553
root_relative_squared_error
1.0000779420588553
root_relative_squared_error
1.0000779420588553
root_relative_squared_error
1.0000779420588553
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
283.2354269994539
usercpu_time_millis
277.7634849990136
usercpu_time_millis
260.44029600234353
usercpu_time_millis
256.816790002631
usercpu_time_millis
256.1011529978714
usercpu_time_millis
256.1937589998706
usercpu_time_millis
256.1217039983603
usercpu_time_millis
257.71950199850835
usercpu_time_millis
256.5456530028314
usercpu_time_millis
255.7695989999047
usercpu_time_millis_testing
1.0452679998707026
usercpu_time_millis_testing
0.9573329989507329
usercpu_time_millis_testing
0.9140750007645693
usercpu_time_millis_testing
1.0269390004395973
usercpu_time_millis_testing
0.9382669995829929
usercpu_time_millis_testing
0.8827380006550811
usercpu_time_millis_testing
0.9355619986308739
usercpu_time_millis_testing
0.9739649976836517
usercpu_time_millis_testing
0.8987750006781425
usercpu_time_millis_testing
0.9023120001074858
usercpu_time_millis_training
282.1901589995832
usercpu_time_millis_training
276.80615200006287
usercpu_time_millis_training
259.52622100157896
usercpu_time_millis_training
255.78985100219143
usercpu_time_millis_training
255.1628859982884
usercpu_time_millis_training
255.31102099921554
usercpu_time_millis_training
255.18614199972944
usercpu_time_millis_training
256.7455370008247
usercpu_time_millis_training
255.64687800215324
usercpu_time_millis_training
254.86728699979722