10154827
869
Pieter Gijsbers
31
Supervised Classification
9148
sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder),algorithm=sklearn.naive_bayes.GaussianNB)(2)
8080396
memory
null
9148
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "preprocessing", "step_name": "preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "algorithm", "step_name": "algorithm"}}]
9148
n_jobs
null
9149
remainder
"passthrough"
9149
sparse_threshold
0.3
9149
transformer_weights
null
9149
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer", "argument_1": [1, 4, 7, 10, 12, 15, 17]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat_encoder", "step_name": "cat_encoder", "argument_1": [0, 2, 3, 5, 6, 8, 9, 11, 13, 14, 16, 18, 19]}}]
9149
copy
true
9150
fill_value
null
9150
missing_values
NaN
9150
strategy
"mean"
9150
verbose
0
9150
cols
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
9151
drop_invariant
false
9151
handle_unknown
"impute"
9151
impute_missing
true
9151
min_samples_leaf
1
9151
return_df
true
9151
smoothing
1.0
9151
verbose
0
9151
priors
null
9152
var_smoothing
1e-09
9152
openml-python
Sklearn_0.20.0.
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
21230254
description
https://api.openml.org/data/download/21230254/description.xml
-1
21230255
predictions
https://api.openml.org/data/download/21230255/predictions.arff
area_under_roc_curve
0.7620333333333333 [0.762033,0.762033]
average_cost
0
f_measure
0.7212553295589571 [0.827357,0.473684]
kappa
0.31144067796610175
kb_relative_information_score
241.45010270161387
mean_absolute_error
0.31122707393984833
mean_prior_absolute_error
0.42015968063872167
number_of_instances
1000 [700,300]
precision
0.7219948325701568 [0.772953,0.603093]
predictive_accuracy
0.74
prior_entropy
0.8817783329695427
recall
0.74 [0.89,0.39]
relative_absolute_error
0.7407352211109945
root_mean_prior_squared_error
0.45825774337365466
root_mean_squared_error
0.4283440864226039
root_relative_squared_error
0.9347230736772086
total_cost
0
area_under_roc_curve
0.789047619047619 [0.789048,0.789048]
area_under_roc_curve
0.7519047619047619 [0.751905,0.751905]
area_under_roc_curve
0.6938095238095238 [0.69381,0.69381]
area_under_roc_curve
0.7542857142857143 [0.754286,0.754286]
area_under_roc_curve
0.7833333333333334 [0.783333,0.783333]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.7795238095238095 [0.779524,0.779524]
area_under_roc_curve
0.7976190476190476 [0.797619,0.797619]
area_under_roc_curve
0.7404761904761905 [0.740476,0.740476]
area_under_roc_curve
0.7404761904761905 [0.740476,0.740476]
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
0.7226666666666667 [0.826667,0.48]
f_measure
0.6759493670886078 [0.822785,0.333333]
f_measure
0.6969402622632346 [0.788732,0.482759]
f_measure
0.7566521910777735 [0.845638,0.54902]
f_measure
0.735491512041058 [0.832215,0.509804]
f_measure
0.7722983257229831 [0.849315,0.592593]
f_measure
0.7778128701144886 [0.85906,0.588235]
f_measure
0.7651612903225806 [0.864516,0.533333]
f_measure
0.6458498023715415 [0.792208,0.304348]
f_measure
0.6458498023715415 [0.792208,0.304348]
kappa
0.3157894736842105
kappa
0.19540229885057459
kappa
0.2718446601941747
kappa
0.40104166666666674
kappa
0.34895833333333337
kappa
0.44444444444444453
kappa
0.4531250000000001
kappa
0.41666666666666674
kappa
0.12087912087912099
kappa
0.12087912087912099
kb_relative_information_score
22.67191295630479
kb_relative_information_score
20.838540140155423
kb_relative_information_score
15.047247620283503
kb_relative_information_score
25.342811181500114
kb_relative_information_score
26.919381366175884
kb_relative_information_score
30.82466190791356
kb_relative_information_score
29.39242677086619
kb_relative_information_score
29.854528869918358
kb_relative_information_score
22.46010537085947
kb_relative_information_score
18.09848651763641
mean_absolute_error
0.3148048860052854
mean_absolute_error
0.31986883824958456
mean_absolute_error
0.34452988806135776
mean_absolute_error
0.31107287009230644
mean_absolute_error
0.3033631657954756
mean_absolute_error
0.2858437447958533
mean_absolute_error
0.29309204523490673
mean_absolute_error
0.2939927935991018
mean_absolute_error
0.3146491403907393
mean_absolute_error
0.33105336717386824
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
0.7225 [0.775,0.6]
precision
0.6920454545454545 [0.738636,0.583333]
precision
0.6944444444444444 [0.777778,0.5]
precision
0.7582278481012659 [0.797468,0.666667]
precision
0.7350813743218807 [0.78481,0.619048]
precision
0.7710526315789474 [0.815789,0.666667]
precision
0.781374321880651 [0.810127,0.714286]
precision
0.7917647058823529 [0.788235,0.8]
precision
0.6395833333333333 [0.72619,0.4375]
precision
0.6395833333333333 [0.72619,0.4375]
predictive_accuracy
0.74
predictive_accuracy
0.72
predictive_accuracy
0.7
predictive_accuracy
0.77
predictive_accuracy
0.75
predictive_accuracy
0.78
predictive_accuracy
0.79
predictive_accuracy
0.79
predictive_accuracy
0.68
predictive_accuracy
0.68
prior_entropy
0.8817783329695427
prior_entropy
0.8817783329695427
prior_entropy
0.8817783329695427
prior_entropy
0.8817783329695427
prior_entropy
0.8817783329695427
prior_entropy
0.8817783329695427
prior_entropy
0.8817783329695427
prior_entropy
0.8817783329695427
prior_entropy
0.8817783329695427
prior_entropy
0.8817783329695427
recall
0.74 [0.885714,0.4]
recall
0.72 [0.928571,0.233333]
recall
0.7 [0.8,0.466667]
recall
0.77 [0.9,0.466667]
recall
0.75 [0.885714,0.433333]
recall
0.78 [0.885714,0.533333]
recall
0.79 [0.914286,0.5]
recall
0.79 [0.957143,0.4]
recall
0.68 [0.871429,0.233333]
recall
0.68 [0.871429,0.233333]
relative_absolute_error
0.749250583794051
relative_absolute_error
0.7613030307032856
relative_absolute_error
0.819997500801615
relative_absolute_error
0.7403682086282437
relative_absolute_error
0.7220187461450501
relative_absolute_error
0.6803216918894169
relative_absolute_error
0.6975729912716772
relative_absolute_error
0.6997168151693576
relative_absolute_error
0.7488799018325898
relative_absolute_error
0.787922740874621
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
0.4334436474734088
root_mean_squared_error
0.44047895088656186
root_mean_squared_error
0.47031984333660065
root_mean_squared_error
0.4090999097234111
root_mean_squared_error
0.4190950926450299
root_mean_squared_error
0.4145202370650041
root_mean_squared_error
0.41016999163078455
root_mean_squared_error
0.3957579743820835
root_mean_squared_error
0.4361307449136812
root_mean_squared_error
0.44920643835007745
root_relative_squared_error
0.9458512239911822
root_relative_squared_error
0.961203508845901
root_relative_squared_error
1.0263216500699917
root_relative_squared_error
0.8927288532249378
root_relative_squared_error
0.9145401222458063
root_relative_squared_error
0.9045569727056673
root_relative_squared_error
0.8950639625009876
root_relative_squared_error
0.8636143744534382
root_relative_squared_error
0.9517149491090386
root_relative_squared_error
0.9802484406331188
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
78.125
usercpu_time_millis
93.75
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
93.75
usercpu_time_millis
156.25
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
109.375
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_training
46.875
usercpu_time_millis_training
78.125
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
78.125
usercpu_time_millis_training
125
usercpu_time_millis_training
109.375
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
78.125