10464869
11598
Robert Marincu
31
Supervised Classification
17376
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(6)
8275537
class_weight
null
17350
criterion
"gini"
17350
max_depth
null
17350
max_features
null
17350
max_leaf_nodes
null
17350
min_impurity_decrease
0.0
17350
min_impurity_split
null
17350
min_samples_leaf
1
17350
min_samples_split
2
17350
min_weight_fraction_leaf
0.0
17350
presort
false
17350
random_state
54949
17350
splitter
"best"
17350
memory
null
17376
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"}}]
17376
verbose
false
17376
add_indicator
false
17377
copy
true
17377
fill_value
null
17377
missing_values
NaN
17377
strategy
"mean"
17377
verbose
0
17377
openml-python
Sklearn_0.21.3.
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
21854562
description
https://api.openml.org/data/download/21854562/description.xml
-1
21854563
predictions
https://api.openml.org/data/download/21854563/predictions.arff
area_under_roc_curve
0.6442857142857142 [0.644286,0.644286]
average_cost
0
f_measure
0.6937475627193552 [0.774052,0.506369]
kappa
0.2810760667903524
kb_relative_information_score
0.20839193626150634
mean_absolute_error
0.31
mean_prior_absolute_error
0.42015968063872167
weighted_recall
0.69 [0.758571,0.53]
number_of_instances
1000 [700,300]
precision
0.6985518292682927 [0.790179,0.484756]
predictive_accuracy
0.69
prior_entropy
0.8812914463598482
relative_absolute_error
0.7378147268408567
root_mean_prior_squared_error
0.45825774337365466
root_mean_squared_error
0.5567764362830022
root_relative_squared_error
1.214985331582313
total_cost
0
unweighted_recall
0.6442857142857144 [0.758571,0.53]
area_under_roc_curve
0.7285714285714286 [0.728571,0.728571]
area_under_roc_curve
0.6833333333333335 [0.683333,0.683333]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.6428571428571429 [0.642857,0.642857]
area_under_roc_curve
0.6261904761904762 [0.62619,0.62619]
area_under_roc_curve
0.6547619047619048 [0.654762,0.654762]
area_under_roc_curve
0.7119047619047619 [0.711905,0.711905]
area_under_roc_curve
0.6547619047619048 [0.654762,0.654762]
area_under_roc_curve
0.5452380952380952 [0.545238,0.545238]
area_under_roc_curve
0.5952380952380952 [0.595238,0.595238]
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
0.7474153297682711 [0.80303,0.617647]
f_measure
0.7312418917325155 [0.805755,0.557377]
f_measure
0.6730158730158731 [0.777778,0.428571]
f_measure
0.7 [0.785714,0.5]
f_measure
0.6884721721360739 [0.780142,0.474576]
f_measure
0.6961823361823362 [0.77037,0.523077]
f_measure
0.7369992144540456 [0.796992,0.597015]
f_measure
0.6961823361823362 [0.77037,0.523077]
f_measure
0.6241442767758557 [0.741259,0.350877]
f_measure
0.6325274725274725 [0.707692,0.457143]
kappa
0.42477876106194684
kappa
0.36320754716981135
kappa
0.2079207920792081
kappa
0.2857142857142857
kappa
0.25480769230769224
kappa
0.29545454545454525
kappa
0.3973214285714285
kappa
0.29545454545454525
kappa
0.09313725490196086
kappa
0.1739130434782608
kb_relative_information_score
0.33607065621932586
kb_relative_information_score
0.3105349122277614
kb_relative_information_score
0.1828561922699398
kb_relative_information_score
0.2339276802530685
kb_relative_information_score
0.20839193626150418
kb_relative_information_score
0.20839193626150407
kb_relative_information_score
0.3105349122277615
kb_relative_information_score
0.20839193626150412
kb_relative_information_score
0.055177472312118024
kb_relative_information_score
0.029641728320553628
mean_absolute_error
0.26
mean_absolute_error
0.27
mean_absolute_error
0.32
mean_absolute_error
0.3
mean_absolute_error
0.31
mean_absolute_error
0.31
mean_absolute_error
0.27
mean_absolute_error
0.31
mean_absolute_error
0.37
mean_absolute_error
0.38
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
0.7641765704584041 [0.854839,0.552632]
precision
0.7326320710612435 [0.811594,0.548387]
precision
0.6681912681912682 [0.756757,0.461538]
precision
0.7 [0.785714,0.5]
precision
0.6870811073336571 [0.774648,0.482759]
precision
0.7057142857142857 [0.8,0.485714]
precision
0.7510510510510511 [0.84127,0.540541]
precision
0.7057142857142857 [0.8,0.485714]
precision
0.6193302891933028 [0.726027,0.37037]
precision
0.6566666666666667 [0.766667,0.4]
predictive_accuracy
0.74
predictive_accuracy
0.73
predictive_accuracy
0.68
predictive_accuracy
0.7
predictive_accuracy
0.69
predictive_accuracy
0.69
predictive_accuracy
0.73
predictive_accuracy
0.69
predictive_accuracy
0.63
predictive_accuracy
0.62
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
0.6188123515439421
relative_absolute_error
0.6426128266033244
relative_absolute_error
0.7616152019002363
relative_absolute_error
0.7140142517814715
relative_absolute_error
0.737814726840854
relative_absolute_error
0.737814726840854
relative_absolute_error
0.6426128266033244
relative_absolute_error
0.737814726840854
relative_absolute_error
0.8806175771971482
relative_absolute_error
0.9044180522565307
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
0.5099019513592785
root_mean_squared_error
0.5196152422706632
root_mean_squared_error
0.565685424949238
root_mean_squared_error
0.5477225575051661
root_mean_squared_error
0.5567764362830022
root_mean_squared_error
0.5567764362830022
root_mean_squared_error
0.5196152422706632
root_mean_squared_error
0.5567764362830022
root_mean_squared_error
0.6082762530298219
root_mean_squared_error
0.6164414002968976
root_relative_squared_error
1.1126968583344015
root_relative_squared_error
1.133892988791197
root_relative_squared_error
1.234426331314577
root_relative_squared_error
1.1952281558253186
root_relative_squared_error
1.2149853315823114
root_relative_squared_error
1.2149853315823114
root_relative_squared_error
1.133892988791197
root_relative_squared_error
1.2149853315823114
root_relative_squared_error
1.3273671025212643
root_relative_squared_error
1.3451849078614746
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
0.7285714285714285 [0.757143,0.7]
unweighted_recall
0.6833333333333333 [0.8,0.566667]
unweighted_recall
0.6000000000000001 [0.8,0.4]
unweighted_recall
0.6428571428571428 [0.785714,0.5]
unweighted_recall
0.6261904761904762 [0.785714,0.466667]
unweighted_recall
0.6547619047619048 [0.742857,0.566667]
unweighted_recall
0.7119047619047618 [0.757143,0.666667]
unweighted_recall
0.6547619047619048 [0.742857,0.566667]
unweighted_recall
0.5452380952380952 [0.757143,0.333333]
unweighted_recall
0.5952380952380952 [0.657143,0.533333]
usercpu_time_millis
4.94636599999998
usercpu_time_millis
4.155488999999735
usercpu_time_millis
4.458235000000199
usercpu_time_millis
4.134112000000023
usercpu_time_millis
4.26257200000002
usercpu_time_millis
4.575226999999904
usercpu_time_millis
12.414524000000204
usercpu_time_millis
11.199968999999976
usercpu_time_millis
12.190391000000078
usercpu_time_millis
9.444443000000247
usercpu_time_millis_testing
0.3539729999999519
usercpu_time_millis_testing
0.2255339999999162
usercpu_time_millis_testing
0.23419100000010573
usercpu_time_millis_testing
0.23283200000001614
usercpu_time_millis_testing
0.25330099999987254
usercpu_time_millis_testing
0.3819970000000783
usercpu_time_millis_testing
0.9182170000001655
usercpu_time_millis_testing
0.6501599999999552
usercpu_time_millis_testing
0.9676830000000525
usercpu_time_millis_testing
0.34790500000014823
usercpu_time_millis_training
4.592393000000028
usercpu_time_millis_training
3.9299549999998185
usercpu_time_millis_training
4.224044000000093
usercpu_time_millis_training
3.901280000000007
usercpu_time_millis_training
4.0092710000001475
usercpu_time_millis_training
4.193229999999826
usercpu_time_millis_training
11.496307000000039
usercpu_time_millis_training
10.549809000000021
usercpu_time_millis_training
11.222708000000026
usercpu_time_millis_training
9.096538000000098
wall_clock_time_millis
4.951715469360352
wall_clock_time_millis
4.156589508056641
wall_clock_time_millis
4.460334777832031
wall_clock_time_millis
4.1351318359375
wall_clock_time_millis
4.264354705810547
wall_clock_time_millis
4.585027694702148
wall_clock_time_millis
7.036447525024414
wall_clock_time_millis
6.353616714477539
wall_clock_time_millis
7.009983062744141
wall_clock_time_millis
5.897045135498047
wall_clock_time_millis_testing
0.3561973571777344
wall_clock_time_millis_testing
0.2269744873046875
wall_clock_time_millis_testing
0.2357959747314453
wall_clock_time_millis_testing
0.23412704467773438
wall_clock_time_millis_testing
0.2551078796386719
wall_clock_time_millis_testing
0.38504600524902344
wall_clock_time_millis_testing
0.6003379821777344
wall_clock_time_millis_testing
0.4398822784423828
wall_clock_time_millis_testing
0.621795654296875
wall_clock_time_millis_testing
0.35071372985839844
wall_clock_time_millis_training
4.595518112182617
wall_clock_time_millis_training
3.929615020751953
wall_clock_time_millis_training
4.224538803100586
wall_clock_time_millis_training
3.9010047912597656
wall_clock_time_millis_training
4.009246826171875
wall_clock_time_millis_training
4.199981689453125
wall_clock_time_millis_training
6.43610954284668
wall_clock_time_millis_training
5.913734436035156
wall_clock_time_millis_training
6.388187408447266
wall_clock_time_millis_training
5.546331405639648
weighted_recall
0.74 [0.757143,0.7]
weighted_recall
0.73 [0.8,0.566667]
weighted_recall
0.68 [0.8,0.4]
weighted_recall
0.7 [0.785714,0.5]
weighted_recall
0.69 [0.785714,0.466667]
weighted_recall
0.69 [0.742857,0.566667]
weighted_recall
0.73 [0.757143,0.666667]
weighted_recall
0.69 [0.742857,0.566667]
weighted_recall
0.63 [0.757143,0.333333]
weighted_recall
0.62 [0.657143,0.533333]