10329340
8323
Heinrich Peters
53
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8184960
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
2.20249400482954
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0018193656589055621
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
24621
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
54
vehicle
https://www.openml.org/data/download/54/dataset_54_vehicle.arff
-1
21580377
description
https://api.openml.org/data/download/21580377/description.xml
-1
21580378
predictions
https://api.openml.org/data/download/21580378/predictions.arff
area_under_roc_curve
0.7992536248665527 [0.653971,0.708296,0.923494,0.917109]
average_cost
0
f_measure
0.678166197692439 [0.476471,0.568675,0.859574,0.813704]
kappa
0.5985268337346885
kb_relative_information_score
0.637417867740383
mean_absolute_error
0.15070921985815602
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.6847607607819184 [0.632812,0.59596,0.801587,0.708955]
predictive_accuracy
0.698581560283688
prior_entropy
1.9990667866719984
recall
0.6985815602836879 [0.382075,0.543779,0.926606,0.954774]
relative_absolute_error
0.40206197040972264
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.3882128538033691
root_relative_squared_error
0.8967304769314437
total_cost
0
area_under_roc_curve
0.8046493437118436 [0.651414,0.747835,0.945527,0.873077]
area_under_roc_curve
0.7962206196581196 [0.643229,0.731962,0.929654,0.880769]
area_under_roc_curve
0.8279704670329671 [0.675223,0.762626,0.938672,0.938462]
area_under_roc_curve
0.8034245268620268 [0.643229,0.762626,0.905844,0.903846]
area_under_roc_curve
0.7805956196581196 [0.579985,0.685426,0.930736,0.930769]
area_under_roc_curve
0.8042773199023199 [0.674851,0.746753,0.900072,0.898077]
area_under_roc_curve
0.808824687856946 [0.648094,0.708211,0.944444,0.961538]
area_under_roc_curve
0.8008072516641065 [0.677419,0.642857,0.920635,0.976562]
area_under_roc_curve
0.8021873399897594 [0.753968,0.642857,0.891496,0.921875]
area_under_roc_curve
0.7621287762416794 [0.587302,0.642857,0.928886,0.8875]
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
0.6881546696641965 [0.470588,0.634146,0.893617,0.75]
f_measure
0.6701469216758865 [0.451613,0.604651,0.857143,0.765957]
f_measure
0.726967624259006 [0.514286,0.651163,0.909091,0.833333]
f_measure
0.6816743470112695 [0.451613,0.651163,0.807692,0.818182]
f_measure
0.6398778005825986 [0.322581,0.533333,0.888889,0.816327]
f_measure
0.6895950638319844 [0.516129,0.622222,0.844444,0.77551]
f_measure
0.6958314945725332 [0.473684,0.571429,0.888889,0.883721]
f_measure
0.6812911986500025 [0.52381,0.457143,0.833333,0.930233]
f_measure
0.6832801745845223 [0.648649,0.457143,0.826087,0.8]
f_measure
0.6104376027458506 [0.333333,0.465116,0.857143,0.782609]
kappa
0.6082227138643068
kappa
0.592175678169404
kappa
0.655299539170507
kappa
0.6074265656752263
kappa
0.561128526645768
kappa
0.6081504702194358
kappa
0.6199095022624435
kappa
0.6033994334277619
kappa
0.6036240090600226
kappa
0.5237195237195237
kb_relative_information_score
0.6455932351399764
kb_relative_information_score
0.6313929606649613
kb_relative_information_score
0.6889458201383358
kb_relative_information_score
0.6454631321641615
kb_relative_information_score
0.6040043792398747
kb_relative_information_score
0.6461373405253379
kb_relative_information_score
0.656510995664966
kb_relative_information_score
0.6427971561799153
kb_relative_information_score
0.6430265870973395
kb_relative_information_score
0.5698825262788056
mean_absolute_error
0.14705882352941177
mean_absolute_error
0.15294117647058825
mean_absolute_error
0.12941176470588237
mean_absolute_error
0.14705882352941177
mean_absolute_error
0.16470588235294117
mean_absolute_error
0.14705882352941177
mean_absolute_error
0.14285714285714285
mean_absolute_error
0.1488095238095238
mean_absolute_error
0.1488095238095238
mean_absolute_error
0.17857142857142858
mean_prior_absolute_error
0.37483044982698976
mean_prior_absolute_error
0.37483044982698976
mean_prior_absolute_error
0.37483044982698976
mean_prior_absolute_error
0.37483044982698976
mean_prior_absolute_error
0.37483044982698976
mean_prior_absolute_error
0.37483044982698976
mean_prior_absolute_error
0.37478291316526624
mean_prior_absolute_error
0.37490896358543435
mean_prior_absolute_error
0.37486694677871163
mean_prior_absolute_error
0.37486694677871163
number_of_instances
85 [21,22,22,20]
number_of_instances
85 [21,22,22,20]
number_of_instances
85 [21,22,22,20]
number_of_instances
85 [21,22,22,20]
number_of_instances
85 [21,22,22,20]
number_of_instances
85 [21,22,22,20]
number_of_instances
84 [22,22,21,19]
number_of_instances
84 [22,21,21,20]
number_of_instances
84 [21,21,22,20]
number_of_instances
84 [21,21,22,20]
precision
0.6977982512843195 [0.615385,0.684211,0.84,0.642857]
precision
0.6913352007469655 [0.7,0.619048,0.777778,0.666667]
precision
0.734733893557423 [0.642857,0.666667,0.909091,0.714286]
precision
0.7031372549019608 [0.7,0.666667,0.7,0.75]
precision
0.6459035188288209 [0.5,0.521739,0.869565,0.689655]
precision
0.7231607725548991 [0.8,0.608696,0.826087,0.655172]
precision
0.6918650793650793 [0.5625,0.6,0.833333,0.791667]
precision
0.6791292845640672 [0.55,0.571429,0.740741,0.869565]
precision
0.6964285714285714 [0.75,0.571429,0.791667,0.666667]
precision
0.621064121064121 [0.555556,0.454545,0.777778,0.692308]
predictive_accuracy
0.7058823529411765
predictive_accuracy
0.6941176470588235
predictive_accuracy
0.7411764705882353
predictive_accuracy
0.7058823529411765
predictive_accuracy
0.6705882352941177
predictive_accuracy
0.7058823529411765
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7023809523809524
predictive_accuracy
0.7023809523809524
predictive_accuracy
0.6428571428571429
prior_entropy
1.9989496630655892
prior_entropy
1.9989496630655892
prior_entropy
1.9989496630655892
prior_entropy
1.9989496630655892
prior_entropy
1.9989496630655892
prior_entropy
1.9989496630655892
prior_entropy
1.998373047127382
prior_entropy
1.9998531439726461
prior_entropy
1.99937603159913
prior_entropy
1.99937603159913
recall
0.7058823529411765 [0.380952,0.590909,0.954545,0.9]
recall
0.6941176470588235 [0.333333,0.590909,0.954545,0.9]
recall
0.7411764705882353 [0.428571,0.636364,0.909091,1]
recall
0.7058823529411765 [0.333333,0.636364,0.954545,0.9]
recall
0.6705882352941176 [0.238095,0.545455,0.909091,1]
recall
0.7058823529411765 [0.380952,0.636364,0.863636,0.95]
recall
0.7142857142857143 [0.409091,0.545455,0.952381,1]
recall
0.7023809523809523 [0.5,0.380952,0.952381,1]
recall
0.7023809523809523 [0.571429,0.380952,0.863636,1]
recall
0.6428571428571429 [0.238095,0.47619,0.954545,0.9]
relative_absolute_error
0.392334250318483
relative_absolute_error
0.4080276203312223
relative_absolute_error
0.345254140280265
relative_absolute_error
0.392334250318483
relative_absolute_error
0.4394143603567009
relative_absolute_error
0.392334250318483
relative_absolute_error
0.3811730413498008
relative_absolute_error
0.3969217550479106
relative_absolute_error
0.39696624385869855
relative_absolute_error
0.47635949263043825
root_mean_prior_squared_error
0.43290840668819885
root_mean_prior_squared_error
0.43290840668819885
root_mean_prior_squared_error
0.43290840668819885
root_mean_prior_squared_error
0.43290840668819885
root_mean_prior_squared_error
0.43290840668819885
root_mean_prior_squared_error
0.43290840668819885
root_mean_prior_squared_error
0.4328534993731614
root_mean_prior_squared_error
0.43299907891329226
root_mean_prior_squared_error
0.43295055783892555
root_mean_prior_squared_error
0.43295055783892555
root_mean_squared_error
0.3834824944236852
root_mean_squared_error
0.39107694443752145
root_mean_squared_error
0.3597384670922507
root_mean_squared_error
0.3834824944236852
root_mean_squared_error
0.4058397249567139
root_mean_squared_error
0.3834824944236852
root_mean_squared_error
0.3779644730092272
root_mean_squared_error
0.3857583749052298
root_mean_squared_error
0.3857583749052298
root_mean_squared_error
0.4225771273642583
root_relative_squared_error
0.8858282456498644
root_relative_squared_error
0.9033711020520643
root_relative_squared_error
0.8309805527785729
root_relative_squared_error
0.8858282456498644
root_relative_squared_error
0.9374724969224699
root_relative_squared_error
0.8858282456498644
root_relative_squared_error
0.8731926010915426
root_relative_squared_error
0.8908988348736826
root_relative_squared_error
0.8909986785344366
root_relative_squared_error
0.9760401498812098
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
68.61063100222964
usercpu_time_millis
69.82034898828715
usercpu_time_millis
70.78460301272571
usercpu_time_millis
70.23662200663239
usercpu_time_millis
70.3860820067348
usercpu_time_millis
70.97356699523516
usercpu_time_millis
73.18457697692793
usercpu_time_millis
70.34059999568854
usercpu_time_millis
72.20339597552083
usercpu_time_millis
70.35251098568551
usercpu_time_millis_testing
5.5452280066674575
usercpu_time_millis_testing
5.582184996455908
usercpu_time_millis_testing
5.627812002785504
usercpu_time_millis_testing
5.5794710060581565
usercpu_time_millis_testing
5.6178120139520615
usercpu_time_millis_testing
5.6181239924626425
usercpu_time_millis_testing
5.573798989644274
usercpu_time_millis_testing
5.577115996857174
usercpu_time_millis_testing
5.591739987721667
usercpu_time_millis_testing
5.600249991402961
usercpu_time_millis_training
63.06540299556218
usercpu_time_millis_training
64.23816399183124
usercpu_time_millis_training
65.1567910099402
usercpu_time_millis_training
64.65715100057423
usercpu_time_millis_training
64.76826999278273
usercpu_time_millis_training
65.35544300277252
usercpu_time_millis_training
67.61077798728365
usercpu_time_millis_training
64.76348399883136
usercpu_time_millis_training
66.61165598779917
usercpu_time_millis_training
64.75226099428255
wall_clock_time_millis
132.62677192687988
wall_clock_time_millis
69.84066963195801
wall_clock_time_millis
70.82128524780273
wall_clock_time_millis
70.36018371582031
wall_clock_time_millis
70.42169570922852
wall_clock_time_millis
70.99533081054688
wall_clock_time_millis
89.26963806152344
wall_clock_time_millis
70.38116455078125
wall_clock_time_millis
72.22628593444824
wall_clock_time_millis
70.45793533325195
wall_clock_time_millis_testing
5.556583404541016
wall_clock_time_millis_testing
5.594015121459961
wall_clock_time_millis_testing
5.639791488647461
wall_clock_time_millis_testing
5.589723587036133
wall_clock_time_millis_testing
5.643129348754883
wall_clock_time_millis_testing
5.629777908325195
wall_clock_time_millis_testing
5.585908889770508
wall_clock_time_millis_testing
5.590915679931641
wall_clock_time_millis_testing
5.603551864624023
wall_clock_time_millis_testing
5.61213493347168
wall_clock_time_millis_training
127.07018852233887
wall_clock_time_millis_training
64.24665451049805
wall_clock_time_millis_training
65.18149375915527
wall_clock_time_millis_training
64.77046012878418
wall_clock_time_millis_training
64.77856636047363
wall_clock_time_millis_training
65.36555290222168
wall_clock_time_millis_training
83.68372917175293
wall_clock_time_millis_training
64.79024887084961
wall_clock_time_millis_training
66.62273406982422
wall_clock_time_millis_training
64.84580039978027