10560806
27568
Victorien Fandos
31
Supervised Classification
19015
sklearn.pipeline.Pipeline(ColumnTansformer=sklearn.compose._column_transformer.ColumnTransformer(OneHotEncoder=sklearn.preprocessing._encoders.OneHotEncoder),MaxAbsScaler=sklearn.preprocessing._data.MaxAbsScaler,svc=sklearn.svm._classes.SVC)(1)
8277089
Python_3.7.10. Sklearn_0.24.2. NumPy_1.19.5. SciPy_1.7.1.
categories
"auto"
18997
drop
null
18997
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
18997
handle_unknown
"error"
18997
sparse
true
18997
C
7.5
19000
break_ties
false
19000
cache_size
200
19000
class_weight
null
19000
coef0
0.0
19000
decision_function_shape
"ovr"
19000
degree
3
19000
gamma
0.04
19000
kernel
"poly"
19000
max_iter
-1
19000
probability
false
19000
random_state
63944
19000
shrinking
true
19000
tol
0.001
19000
verbose
false
19000
memory
null
19015
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "ColumnTansformer", "step_name": "ColumnTansformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "MaxAbsScaler", "step_name": "MaxAbsScaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
19015
verbose
false
19015
n_jobs
null
19016
remainder
"passthrough"
19016
sparse_threshold
0.3
19016
transformer_weights
null
19016
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "OneHotEncoder", "step_name": "OneHotEncoder", "argument_1": ["foreign_worker", "own_telephone", "job", "housing", "other_payment_plans", "property_magnitude", "other_parties", "personal_status", "employment", "savings_status", "purpose", "credit_history", "checking_status"]}}]
19016
verbose
false
19016
copy
true
19017
openml-python
Sklearn_0.24.2.
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
22047742
description
https://api.openml.org/data/download/22047742/description.xml
-1
22047743
predictions
https://api.openml.org/data/download/22047743/predictions.arff
area_under_roc_curve
0.6800000000000002 [0.68,0.68]
average_cost
0
f_measure
0.7541449409976569 [0.844504,0.543307]
kappa
0.3945720250521921
kb_relative_information_score
0.407570739395714
mean_absolute_error
0.232
mean_prior_absolute_error
0.42015968063872167
weighted_recall
0.768 [0.9,0.46]
number_of_instances
1000 [700,300]
precision
0.7558566433566433 [0.795455,0.663462]
predictive_accuracy
0.768
prior_entropy
0.8812914463598482
relative_absolute_error
0.5521710213776734
root_mean_prior_squared_error
0.45825774337365466
root_mean_squared_error
0.48166378315169184
root_relative_squared_error
1.0510761468114513
total_cost
0
unweighted_recall
0.68 [0.9,0.46]
area_under_roc_curve
0.7261904761904762 [0.72619,0.72619]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.6761904761904762 [0.67619,0.67619]
area_under_roc_curve
0.7357142857142857 [0.735714,0.735714]
area_under_roc_curve
0.6523809523809524 [0.652381,0.652381]
area_under_roc_curve
0.6880952380952381 [0.688095,0.688095]
area_under_roc_curve
0.6761904761904762 [0.67619,0.67619]
area_under_roc_curve
0.6738095238095237 [0.67381,0.67381]
area_under_roc_curve
0.6976190476190476 [0.697619,0.697619]
area_under_roc_curve
0.6738095238095237 [0.67381,0.67381]
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
0.784075235109718 [0.855172,0.618182]
f_measure
0.6901185770750987 [0.818182,0.391304]
f_measure
0.748024948024948 [0.837838,0.538462]
f_measure
0.7866764814133235 [0.853147,0.631579]
f_measure
0.727027027027027 [0.824324,0.5]
f_measure
0.7698790154359617 [0.862745,0.553191]
f_measure
0.748024948024948 [0.837838,0.538462]
f_measure
0.7525611569130963 [0.847682,0.530612]
f_measure
0.774077578051088 [0.860927,0.571429]
f_measure
0.7525611569130963 [0.847682,0.530612]
kappa
0.47500000000000014
kappa
0.23076923076923067
kappa
0.3814432989690722
kappa
0.48529411764705893
kappa
0.32989690721649484
kappa
0.4293478260869566
kappa
0.3814432989690722
kappa
0.38829787234042556
kappa
0.44148936170212777
kappa
0.38829787234042556
kb_relative_information_score
0.46374937617714757
kb_relative_information_score
0.28499916823619675
kb_relative_information_score
0.3871421442024545
kb_relative_information_score
0.4637493761771478
kb_relative_information_score
0.33607065621932525
kb_relative_information_score
0.463749376177148
kb_relative_information_score
0.3871421442024544
kb_relative_information_score
0.41267788819401874
kb_relative_information_score
0.46374937617714773
kb_relative_information_score
0.4126778881940194
mean_absolute_error
0.21
mean_absolute_error
0.28
mean_absolute_error
0.24
mean_absolute_error
0.21
mean_absolute_error
0.26
mean_absolute_error
0.21
mean_absolute_error
0.24
mean_absolute_error
0.23
mean_absolute_error
0.21
mean_absolute_error
0.23
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
0.7826666666666666 [0.826667,0.68]
precision
0.69375 [0.75,0.5625]
precision
0.7473193473193472 [0.794872,0.636364]
precision
0.7849315068493151 [0.835616,0.666667]
precision
0.7247086247086247 [0.782051,0.590909]
precision
0.7860382707299788 [0.795181,0.764706]
precision
0.7473193473193472 [0.794872,0.636364]
precision
0.7583495776478233 [0.790123,0.684211]
precision
0.7827810266406757 [0.802469,0.736842]
precision
0.7583495776478233 [0.790123,0.684211]
predictive_accuracy
0.79
predictive_accuracy
0.72
predictive_accuracy
0.76
predictive_accuracy
0.79
predictive_accuracy
0.74
predictive_accuracy
0.79
predictive_accuracy
0.76
predictive_accuracy
0.77
predictive_accuracy
0.79
predictive_accuracy
0.77
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
relative_absolute_error
0.49980997624703005
relative_absolute_error
0.666413301662707
relative_absolute_error
0.5712114014251772
relative_absolute_error
0.49980997624703005
relative_absolute_error
0.6188123515439421
relative_absolute_error
0.49980997624703005
relative_absolute_error
0.5712114014251772
relative_absolute_error
0.5474109263657949
relative_absolute_error
0.49980997624703005
relative_absolute_error
0.5474109263657949
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
0.458257569495584
root_mean_squared_error
0.5291502622129182
root_mean_squared_error
0.4898979485566356
root_mean_squared_error
0.458257569495584
root_mean_squared_error
0.5099019513592785
root_mean_squared_error
0.458257569495584
root_mean_squared_error
0.4898979485566356
root_mean_squared_error
0.47958315233127197
root_mean_squared_error
0.458257569495584
root_mean_squared_error
0.47958315233127197
root_relative_squared_error
0.9999996205670852
root_relative_squared_error
1.154700100247861
root_relative_squared_error
1.0690445620188496
root_relative_squared_error
0.9999996205670852
root_relative_squared_error
1.1126968583344015
root_relative_squared_error
0.9999996205670852
root_relative_squared_error
1.0690445620188496
root_relative_squared_error
1.0465358398542726
root_relative_squared_error
0.9999996205670852
root_relative_squared_error
1.0465358398542726
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
unweighted_recall
0.7261904761904762 [0.885714,0.566667]
unweighted_recall
0.6 [0.9,0.3]
unweighted_recall
0.6761904761904762 [0.885714,0.466667]
unweighted_recall
0.7357142857142858 [0.871429,0.6]
unweighted_recall
0.6523809523809524 [0.871429,0.433333]
unweighted_recall
0.6880952380952381 [0.942857,0.433333]
unweighted_recall
0.6761904761904762 [0.885714,0.466667]
unweighted_recall
0.6738095238095239 [0.914286,0.433333]
unweighted_recall
0.6976190476190476 [0.928571,0.466667]
unweighted_recall
0.6738095238095239 [0.914286,0.433333]
usercpu_time_millis
52.220890999933545
usercpu_time_millis
56.720319999840285
usercpu_time_millis
67.44145000016033
usercpu_time_millis
67.59484999997767
usercpu_time_millis
174.6189380000942
usercpu_time_millis
50.13874900009796
usercpu_time_millis
51.586479999969015
usercpu_time_millis
50.592177000226
usercpu_time_millis
54.34486000012839
usercpu_time_millis
57.117755000035686
usercpu_time_millis_testing
7.938516999956846
usercpu_time_millis_testing
7.20862399998623
usercpu_time_millis_testing
12.962792000053014
usercpu_time_millis_testing
7.954397999810681
usercpu_time_millis_testing
7.199738000053912
usercpu_time_millis_testing
7.952458000090701
usercpu_time_millis_testing
7.961221999948975
usercpu_time_millis_testing
7.863163000138229
usercpu_time_millis_testing
7.857335000153398
usercpu_time_millis_testing
13.321324999878925
usercpu_time_millis_training
44.2823739999767
usercpu_time_millis_training
49.511695999854055
usercpu_time_millis_training
54.478658000107316
usercpu_time_millis_training
59.64045200016699
usercpu_time_millis_training
167.4192000000403
usercpu_time_millis_training
42.18629100000726
usercpu_time_millis_training
43.62525800002004
usercpu_time_millis_training
42.72901400008777
usercpu_time_millis_training
46.487524999974994
usercpu_time_millis_training
43.79643000015676
wall_clock_time_millis
52.16503143310547
wall_clock_time_millis
56.982994079589844
wall_clock_time_millis
67.60191917419434
wall_clock_time_millis
67.657470703125
wall_clock_time_millis
174.75581169128418
wall_clock_time_millis
50.18162727355957
wall_clock_time_millis
51.63836479187012
wall_clock_time_millis
50.63271522521973
wall_clock_time_millis
54.39162254333496
wall_clock_time_millis
57.18040466308594
wall_clock_time_millis_testing
7.950067520141602
wall_clock_time_millis_testing
7.296562194824219
wall_clock_time_millis_testing
13.089418411254883
wall_clock_time_millis_testing
7.966279983520508
wall_clock_time_millis_testing
7.213115692138672
wall_clock_time_millis_testing
7.964849472045898
wall_clock_time_millis_testing
7.972240447998047
wall_clock_time_millis_testing
7.868051528930664
wall_clock_time_millis_testing
7.873296737670898
wall_clock_time_millis_testing
13.334512710571289
wall_clock_time_millis_training
44.21496391296387
wall_clock_time_millis_training
49.686431884765625
wall_clock_time_millis_training
54.51250076293945
wall_clock_time_millis_training
59.69119071960449
wall_clock_time_millis_training
167.5426959991455
wall_clock_time_millis_training
42.21677780151367
wall_clock_time_millis_training
43.66612434387207
wall_clock_time_millis_training
42.76466369628906
wall_clock_time_millis_training
46.51832580566406
wall_clock_time_millis_training
43.84589195251465
weighted_recall
0.79 [0.885714,0.566667]
weighted_recall
0.72 [0.9,0.3]
weighted_recall
0.76 [0.885714,0.466667]
weighted_recall
0.79 [0.871429,0.6]
weighted_recall
0.74 [0.871429,0.433333]
weighted_recall
0.79 [0.942857,0.433333]
weighted_recall
0.76 [0.885714,0.466667]
weighted_recall
0.77 [0.914286,0.433333]
weighted_recall
0.79 [0.928571,0.466667]
weighted_recall
0.77 [0.914286,0.433333]