10559206
8323
Heinrich Peters
31
Supervised Classification
18298
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(4)
8276040
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"most_frequent"
17407
verbose
0
17407
categorical_features
null
17408
categories
null
17408
drop
null
17408
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
17408
handle_unknown
"ignore"
17408
n_values
null
17408
sparse
true
17408
C
690.6018801899403
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.6356144967116901
17495
decision_function_shape
"ovr"
17495
degree
5
17495
gamma
0.0008714226148272087
17495
kernel
"rbf"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
memory
null
18298
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
18298
verbose
false
18298
n_jobs
null
18299
remainder
"drop"
18299
sparse_threshold
0.3
18299
transformer_weights
null
18299
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [false, true, false, false, true, false, false, true, false, false, true, false, true, false, false, true, false, true, false, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, false, true, true, false, true, true, false, true, true, false, true, false, true, true, false, true, false, true, true]}}]
18299
verbose
false
18299
memory
null
18300
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
18300
verbose
false
18300
memory
null
18301
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
18301
verbose
false
18301
openml-python
Sklearn_0.21.2.
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
22043377
description
https://api.openml.org/data/download/22043377/description.xml
-1
22043378
predictions
https://api.openml.org/data/download/22043378/predictions.arff
area_under_roc_curve
0.7919071428571427 [0.791907,0.791907]
average_cost
0
f_measure
0.7318851936514639 [0.835208,0.490798]
kappa
0.33706070287539946
kb_relative_information_score
0.21316883542432552
mean_absolute_error
0.3312532132204565
mean_prior_absolute_error
0.42015968063872167
weighted_recall
0.751 [0.901429,0.4]
number_of_instances
1000 [700,300]
precision
0.7351124420174975 [0.778052,0.634921]
predictive_accuracy
0.7509999999999999
prior_entropy
0.8812914463598482
relative_absolute_error
0.7883983839593779
root_mean_prior_squared_error
0.45825774337365466
root_mean_squared_error
0.40228499083530717
root_relative_squared_error
0.8778574866487125
total_cost
0
unweighted_recall
0.6507142857142858 [0.901429,0.4]
area_under_roc_curve
0.8304761904761905 [0.830476,0.830476]
area_under_roc_curve
0.7614285714285716 [0.761429,0.761429]
area_under_roc_curve
0.7519047619047619 [0.751905,0.751905]
area_under_roc_curve
0.7961904761904762 [0.79619,0.79619]
area_under_roc_curve
0.7414285714285714 [0.741429,0.741429]
area_under_roc_curve
0.7871428571428573 [0.787143,0.787143]
area_under_roc_curve
0.7995238095238096 [0.799524,0.799524]
area_under_roc_curve
0.8380952380952381 [0.838095,0.838095]
area_under_roc_curve
0.8085714285714286 [0.808571,0.808571]
area_under_roc_curve
0.8176190476190476 [0.817619,0.817619]
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
0.7602875112309075 [0.843537,0.566038]
f_measure
0.6912457413716487 [0.828025,0.372093]
f_measure
0.68 [0.8,0.4]
f_measure
0.8252037617554859 [0.882759,0.690909]
f_measure
0.6769092542677448 [0.789116,0.415094]
f_measure
0.7041301627033792 [0.823529,0.425532]
f_measure
0.727027027027027 [0.824324,0.5]
f_measure
0.7685352622061481 [0.873418,0.52381]
f_measure
0.7260464469475734 [0.836601,0.468085]
f_measure
0.7479627311917676 [0.849673,0.510638]
kappa
0.41326530612244905
kappa
0.23295454545454536
kappa
0.2105263157894736
kappa
0.575
kappa
0.20918367346938765
kappa
0.2663043478260869
kappa
0.32989690721649484
kappa
0.42528735632183917
kappa
0.32065217391304346
kappa
0.37500000000000006
kb_relative_information_score
0.23694480716520017
kb_relative_information_score
0.19156005570897416
kb_relative_information_score
0.14950351109635193
kb_relative_information_score
0.22772288525232848
kb_relative_information_score
0.13291615360227005
kb_relative_information_score
0.22220573443697256
kb_relative_information_score
0.23831947675633303
kb_relative_information_score
0.27903394092180767
kb_relative_information_score
0.22584945688140554
kb_relative_information_score
0.22763233242157577
mean_absolute_error
0.32446141894589425
mean_absolute_error
0.33220712236925715
mean_absolute_error
0.3498747740575114
mean_absolute_error
0.3298496861992038
mean_absolute_error
0.35433136990154596
mean_absolute_error
0.3295650048401869
mean_absolute_error
0.3178159578037818
mean_absolute_error
0.31727339099932045
mean_absolute_error
0.3256831543527764
mean_absolute_error
0.3314702527350908
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
0.7592885375494072 [0.805195,0.652174]
precision
0.7076038903625111 [0.747126,0.615385]
precision
0.675 [0.75,0.5]
precision
0.8253333333333334 [0.853333,0.76]
precision
0.6707509881422925 [0.753247,0.478261]
precision
0.7077958894401135 [0.759036,0.588235]
precision
0.7247086247086247 [0.782051,0.590909]
precision
0.8238636363636362 [0.784091,0.916667]
precision
0.7338766832034019 [0.771084,0.647059]
precision
0.7599574769666902 [0.783133,0.705882]
predictive_accuracy
0.77
predictive_accuracy
0.73
predictive_accuracy
0.7
predictive_accuracy
0.83
predictive_accuracy
0.69
predictive_accuracy
0.73
predictive_accuracy
0.74
predictive_accuracy
0.8
predictive_accuracy
0.75
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
0.7722335909353575
relative_absolute_error
0.7906687330498697
relative_absolute_error
0.8327185833862846
relative_absolute_error
0.7850579229729255
relative_absolute_error
0.8433254932098538
relative_absolute_error
0.7843803678144102
relative_absolute_error
0.7564170777182633
relative_absolute_error
0.7551257429485002
relative_absolute_error
0.7751413792434237
relative_absolute_error
0.7889149483148704
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
0.3919050379089369
root_mean_squared_error
0.41948541730588623
root_mean_squared_error
0.4245912986961341
root_mean_squared_error
0.38865055597975523
root_mean_squared_error
0.42812536341056534
root_mean_squared_error
0.40406677891091536
root_mean_squared_error
0.3965634163199295
root_mean_squared_error
0.37831069626748964
root_mean_squared_error
0.39616103206780445
root_mean_squared_error
0.3918688056396711
root_relative_squared_error
0.8552065809597994
root_relative_squared_error
0.9153918801626125
root_relative_squared_error
0.9265338225827423
root_relative_squared_error
0.8481047218505077
root_relative_squared_error
0.9342457811159768
root_relative_squared_error
0.8817456655204765
root_relative_squared_error
0.8653719921903833
root_relative_squared_error
0.8255413066943461
root_relative_squared_error
0.8644939180979246
root_relative_squared_error
0.8551275156962229
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
0.6928571428571428 [0.885714,0.5]
unweighted_recall
0.5976190476190476 [0.928571,0.266667]
unweighted_recall
0.5952380952380952 [0.857143,0.333333]
unweighted_recall
0.7738095238095237 [0.914286,0.633333]
unweighted_recall
0.5976190476190476 [0.828571,0.366667]
unweighted_recall
0.6166666666666667 [0.9,0.333333]
unweighted_recall
0.6523809523809524 [0.871429,0.433333]
unweighted_recall
0.6761904761904762 [0.985714,0.366667]
unweighted_recall
0.6404761904761904 [0.914286,0.366667]
unweighted_recall
0.6642857142857144 [0.928571,0.4]
usercpu_time_millis
640.8020000000079
usercpu_time_millis
656.564000000003
usercpu_time_millis
538.880000000006
usercpu_time_millis
678.955999999971
usercpu_time_millis
570.7820000000083
usercpu_time_millis
575.5599999999959
usercpu_time_millis
588.9799999999923
usercpu_time_millis
585.0900000000081
usercpu_time_millis
571.3399999999922
usercpu_time_millis
659.782000000007
usercpu_time_millis_testing
15.826000000004115
usercpu_time_millis_testing
11.116000000015447
usercpu_time_millis_testing
9.264000000001715
usercpu_time_millis_testing
16.059999999981756
usercpu_time_millis_testing
9.471999999988157
usercpu_time_millis_testing
10.559999999998126
usercpu_time_millis_testing
10.702000000009093
usercpu_time_millis_testing
9.726000000000568
usercpu_time_millis_testing
10.21599999998557
usercpu_time_millis_testing
11.96200000001113
usercpu_time_millis_training
624.9760000000038
usercpu_time_millis_training
645.4479999999876
usercpu_time_millis_training
529.6160000000043
usercpu_time_millis_training
662.8959999999893
usercpu_time_millis_training
561.3100000000202
usercpu_time_millis_training
564.9999999999977
usercpu_time_millis_training
578.2779999999832
usercpu_time_millis_training
575.3640000000075
usercpu_time_millis_training
561.1240000000066
usercpu_time_millis_training
647.8199999999958
wall_clock_time_millis
344.06495094299316
wall_clock_time_millis
344.2530632019043
wall_clock_time_millis
270.5569267272949
wall_clock_time_millis
369.0361976623535
wall_clock_time_millis
292.4318313598633
wall_clock_time_millis
292.8342819213867
wall_clock_time_millis
303.9672374725342
wall_clock_time_millis
302.14381217956543
wall_clock_time_millis
290.60912132263184
wall_clock_time_millis
350.31986236572266
wall_clock_time_millis_testing
16.031980514526367
wall_clock_time_millis_testing
5.712985992431641
wall_clock_time_millis_testing
4.634857177734375
wall_clock_time_millis_testing
10.298967361450195
wall_clock_time_millis_testing
4.769802093505859
wall_clock_time_millis_testing
5.309104919433594
wall_clock_time_millis_testing
5.452156066894531
wall_clock_time_millis_testing
4.88591194152832
wall_clock_time_millis_testing
5.131959915161133
wall_clock_time_millis_testing
6.20579719543457
wall_clock_time_millis_training
328.0329704284668
wall_clock_time_millis_training
338.54007720947266
wall_clock_time_millis_training
265.92206954956055
wall_clock_time_millis_training
358.7372303009033
wall_clock_time_millis_training
287.6620292663574
wall_clock_time_millis_training
287.5251770019531
wall_clock_time_millis_training
298.51508140563965
wall_clock_time_millis_training
297.2579002380371
wall_clock_time_millis_training
285.4771614074707
wall_clock_time_millis_training
344.1140651702881
weighted_recall
0.77 [0.885714,0.5]
weighted_recall
0.73 [0.928571,0.266667]
weighted_recall
0.7 [0.857143,0.333333]
weighted_recall
0.83 [0.914286,0.633333]
weighted_recall
0.69 [0.828571,0.366667]
weighted_recall
0.73 [0.9,0.333333]
weighted_recall
0.74 [0.871429,0.433333]
weighted_recall
0.8 [0.985714,0.366667]
weighted_recall
0.75 [0.914286,0.366667]
weighted_recall
0.77 [0.928571,0.4]