10417333
10405
Vasos Arnaoutis
31
Supervised Classification
17346
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(5)
8254406
class_weight
null
17334
criterion
"gini"
17334
max_depth
null
17334
max_features
null
17334
max_leaf_nodes
null
17334
min_impurity_decrease
0.0
17334
min_impurity_split
null
17334
min_samples_leaf
1
17334
min_samples_split
2
17334
min_weight_fraction_leaf
0.0
17334
presort
false
17334
random_state
6889
17334
splitter
"best"
17334
add_indicator
false
17338
copy
true
17338
fill_value
null
17338
missing_values
NaN
17338
strategy
"mean"
17338
verbose
0
17338
memory
null
17346
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
17346
verbose
false
17346
openml-python
Sklearn_0.21.3.
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
21756787
description
https://api.openml.org/data/download/21756787/description.xml
-1
21756788
predictions
https://api.openml.org/data/download/21756788/predictions.arff
area_under_roc_curve
0.6535714285714286 [0.653571,0.653571]
average_cost
0
f_measure
0.6994952554007672 [0.776557,0.519685]
kappa
0.29723502304147464
kb_relative_information_score
0.22115980825728893
mean_absolute_error
0.305
mean_prior_absolute_error
0.42015968063872167
number_of_instances
1000 [700,300]
precision
0.7056559308719559 [0.796992,0.492537]
predictive_accuracy
0.695
prior_entropy
0.8812914463598482
recall
0.695 [0.757143,0.55]
relative_absolute_error
0.7259144893111654
root_mean_prior_squared_error
0.45825774337365466
root_mean_squared_error
0.552268050859363
root_relative_squared_error
1.2051472317600407
total_cost
0
area_under_roc_curve
0.7071428571428572 [0.707143,0.707143]
area_under_roc_curve
0.6976190476190476 [0.697619,0.697619]
area_under_roc_curve
0.6357142857142857 [0.635714,0.635714]
area_under_roc_curve
0.6738095238095237 [0.67381,0.67381]
area_under_roc_curve
0.611904761904762 [0.611905,0.611905]
area_under_roc_curve
0.669047619047619 [0.669048,0.669048]
area_under_roc_curve
0.680952380952381 [0.680952,0.680952]
area_under_roc_curve
0.6952380952380952 [0.695238,0.695238]
area_under_roc_curve
0.5642857142857143 [0.564286,0.564286]
area_under_roc_curve
0.6 [0.6,0.6]
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
0.720100447647123 [0.775194,0.591549]
f_measure
0.7487678807548985 [0.822695,0.576271]
f_measure
0.6914258756928884 [0.776978,0.491803]
f_measure
0.7286693112152903 [0.808511,0.542373]
f_measure
0.6715178676730748 [0.76259,0.459016]
f_measure
0.7137295794230102 [0.788321,0.539683]
f_measure
0.7085561497326203 [0.772727,0.558824]
f_measure
0.7264586160108547 [0.791045,0.575758]
f_measure
0.6317018516334474 [0.733813,0.393443]
f_measure
0.648303934871099 [0.731343,0.454545]
kappa
0.3749999999999999
kappa
0.39903846153846156
kappa
0.2688679245283018
kappa
0.3509615384615385
kappa
0.22169811320754734
kappa
0.3287037037037037
kappa
0.3362831858407078
kappa
0.36936936936936926
kappa
0.12735849056603785
kappa
0.18918918918918912
kb_relative_information_score
0.25946342424463287
kb_relative_information_score
0.3616064002108901
kb_relative_information_score
0.20839193626150415
kb_relative_information_score
0.31053491222776136
kb_relative_information_score
0.15732044827837555
kb_relative_information_score
0.2594634242446328
kb_relative_information_score
0.23392768025306845
kb_relative_information_score
0.28499916823619714
kb_relative_information_score
0.05517747231211802
kb_relative_information_score
0.08071321630368222
mean_absolute_error
0.29
mean_absolute_error
0.25
mean_absolute_error
0.31
mean_absolute_error
0.27
mean_absolute_error
0.33
mean_absolute_error
0.29
mean_absolute_error
0.3
mean_absolute_error
0.28
mean_absolute_error
0.37
mean_absolute_error
0.36
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
precision
0.7468788755684167 [0.847458,0.512195]
precision
0.7476930548810102 [0.816901,0.586207]
precision
0.6929873772791023 [0.782609,0.483871]
precision
0.7274890723652259 [0.802817,0.551724]
precision
0.6731650303880318 [0.768116,0.451613]
precision
0.7187245590230665 [0.80597,0.515152]
precision
0.7258064516129034 [0.822581,0.5]
precision
0.7380208333333332 [0.828125,0.527778]
precision
0.6335203366058906 [0.73913,0.387097]
precision
0.6609375 [0.765625,0.416667]
predictive_accuracy
0.71
predictive_accuracy
0.75
predictive_accuracy
0.69
predictive_accuracy
0.73
predictive_accuracy
0.67
predictive_accuracy
0.71
predictive_accuracy
0.7
predictive_accuracy
0.72
predictive_accuracy
0.63
predictive_accuracy
0.64
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
recall
0.71 [0.714286,0.7]
recall
0.75 [0.828571,0.566667]
recall
0.69 [0.771429,0.5]
recall
0.73 [0.814286,0.533333]
recall
0.67 [0.757143,0.466667]
recall
0.71 [0.771429,0.566667]
recall
0.7 [0.728571,0.633333]
recall
0.72 [0.757143,0.633333]
recall
0.63 [0.728571,0.4]
recall
0.64 [0.7,0.5]
relative_absolute_error
0.6902137767220892
relative_absolute_error
0.5950118764845596
relative_absolute_error
0.737814726840854
relative_absolute_error
0.6426128266033244
relative_absolute_error
0.7854156769596188
relative_absolute_error
0.6902137767220892
relative_absolute_error
0.7140142517814715
relative_absolute_error
0.666413301662707
relative_absolute_error
0.8806175771971482
relative_absolute_error
0.8568171021377659
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_squared_error
0.5385164807134504
root_mean_squared_error
0.5
root_mean_squared_error
0.5567764362830022
root_mean_squared_error
0.5196152422706632
root_mean_squared_error
0.5744562646538028
root_mean_squared_error
0.5385164807134504
root_mean_squared_error
0.5477225575051661
root_mean_squared_error
0.5291502622129182
root_mean_squared_error
0.6082762530298219
root_mean_squared_error
0.6
root_relative_squared_error
1.1751388568994756
root_relative_squared_error
1.0910890371847115
root_relative_squared_error
1.2149853315823114
root_relative_squared_error
1.133892988791197
root_relative_squared_error
1.253565865411687
root_relative_squared_error
1.1751388568994756
root_relative_squared_error
1.1952281558253186
root_relative_squared_error
1.154700100247861
root_relative_squared_error
1.3273671025212643
root_relative_squared_error
1.3093068446216538
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
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
wall_clock_time_millis
3.992319107055664
wall_clock_time_millis
3.9947032928466797
wall_clock_time_millis
4.002094268798828
wall_clock_time_millis
7.981777191162109
wall_clock_time_millis
4.001140594482422
wall_clock_time_millis
4.923343658447266
wall_clock_time_millis
3.991842269897461
wall_clock_time_millis
7.989645004272461
wall_clock_time_millis
3.9968490600585938
wall_clock_time_millis
3.997325897216797
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
3.9899349212646484
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
3.9954185485839844
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_training
3.992319107055664
wall_clock_time_millis_training
3.9947032928466797
wall_clock_time_millis_training
4.002094268798828
wall_clock_time_millis_training
3.991842269897461
wall_clock_time_millis_training
4.001140594482422
wall_clock_time_millis_training
4.923343658447266
wall_clock_time_millis_training
3.991842269897461
wall_clock_time_millis_training
3.9942264556884766
wall_clock_time_millis_training
3.9968490600585938
wall_clock_time_millis_training
3.997325897216797