10329335
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)
8184955
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
0.6924057373577415
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.46594279667222027
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.027501589087229522
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
11207
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
21580367
description
https://api.openml.org/data/download/21580367/description.xml
-1
21580368
predictions
https://api.openml.org/data/download/21580368/predictions.arff
area_under_roc_curve
0.8325130914643746 [0.650043,0.747456,0.968723,0.97044]
average_cost
0
f_measure
0.7327615159190509 [0.468843,0.615711,0.938053,0.916667]
kappa
0.6658363128564481
kb_relative_information_score
0.6985468925677516
mean_absolute_error
0.12529550827423167
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.738148371628272 [0.632,0.570866,0.905983,0.849785]
predictive_accuracy
0.7494089834515367
prior_entropy
1.9990667866719984
recall
0.7494089834515366 [0.372642,0.668203,0.972477,0.994975]
relative_absolute_error
0.33426328520337717
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.3539710557012136
root_relative_squared_error
0.8176355586609411
total_cost
0
area_under_roc_curve
0.8594722985347985 [0.699033,0.816017,0.977273,0.946154]
area_under_roc_curve
0.8188129578754578 [0.651414,0.700216,0.953463,0.976923]
area_under_roc_curve
0.8194291819291819 [0.675595,0.678571,0.9614,0.969231]
area_under_roc_curve
0.826377442002442 [0.603423,0.805916,0.945527,0.951923]
area_under_roc_curve
0.8107524420024419 [0.563988,0.721861,0.984127,0.976923]
area_under_roc_curve
0.8816849816849816 [0.666667,0.889971,0.992063,0.976923]
area_under_roc_curve
0.8394540942928039 [0.634897,0.788123,0.97619,0.984615]
area_under_roc_curve
0.8247447836661547 [0.685484,0.68254,0.968254,0.976562]
area_under_roc_curve
0.8416378648233488 [0.746032,0.68254,0.969208,0.96875]
area_under_roc_curve
0.8013192844342039 [0.571429,0.698413,0.959677,0.976562]
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
0.7785448865345248 [0.555556,0.727273,0.976744,0.851064]
f_measure
0.7146373340195735 [0.470588,0.553191,0.913043,0.930233]
f_measure
0.7177434330375506 [0.512821,0.52381,0.933333,0.909091]
f_measure
0.7082142210557446 [0.357143,0.679245,0.893617,0.904762]
f_measure
0.6839240066381626 [0.275862,0.576923,0.956522,0.930233]
f_measure
0.7967867457060344 [0.5,0.777778,0.977778,0.930233]
f_measure
0.7447952961672474 [0.4375,0.654545,0.97561,0.95]
f_measure
0.7218580218332955 [0.536585,0.526316,0.913043,0.930233]
f_measure
0.7527910685805422 [0.619048,0.526316,0.954545,0.909091]
f_measure
0.6635089667096075 [0.285714,0.541667,0.897959,0.930233]
kappa
0.7179203539823007
kappa
0.6388991503509419
kappa
0.6393654307323371
kappa
0.6540880503144654
kappa
0.6228508042151969
kappa
0.7642381656804733
kappa
0.6824796824796825
kappa
0.6510574018126889
kappa
0.6826596146581034
kappa
0.6028744326777609
kb_relative_information_score
0.745331194695692
kb_relative_information_score
0.6747201312480613
kb_relative_information_score
0.6749803371996909
kb_relative_information_score
0.6879067172649745
kb_relative_information_score
0.6601041334303417
kb_relative_information_score
0.787125985850588
kb_relative_information_score
0.7132147429191162
kb_relative_information_score
0.6854651748366932
kb_relative_information_score
0.7142799746040228
kb_relative_information_score
0.6418964626790902
mean_absolute_error
0.10588235294117647
mean_absolute_error
0.13529411764705881
mean_absolute_error
0.13529411764705881
mean_absolute_error
0.12941176470588237
mean_absolute_error
0.1411764705882353
mean_absolute_error
0.08823529411764706
mean_absolute_error
0.11904761904761904
mean_absolute_error
0.13095238095238096
mean_absolute_error
0.11904761904761904
mean_absolute_error
0.1488095238095238
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
0.7860566448801742 [0.666667,0.727273,1,0.740741]
precision
0.7176986031870942 [0.615385,0.52,0.875,0.869565]
precision
0.712003410059676 [0.555556,0.55,0.913043,0.833333]
precision
0.7473755390719338 [0.714286,0.580645,0.84,0.863636]
precision
0.6947996589940324 [0.5,0.5,0.916667,0.869565]
precision
0.8690856777493606 [1,0.65625,0.956522,0.869565]
precision
0.7808390022675736 [0.7,0.545455,1,0.904762]
precision
0.715727233685236 [0.578947,0.588235,0.84,0.869565]
precision
0.7502334267040149 [0.619048,0.588235,0.954545,0.833333]
precision
0.6836707307721801 [0.571429,0.481481,0.814815,0.869565]
predictive_accuracy
0.7882352941176471
predictive_accuracy
0.7294117647058823
predictive_accuracy
0.7294117647058823
predictive_accuracy
0.7411764705882353
predictive_accuracy
0.7176470588235294
predictive_accuracy
0.823529411764706
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.7380952380952381
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.7023809523809524
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
0.788235294117647 [0.47619,0.727273,0.954545,1]
recall
0.7294117647058823 [0.380952,0.590909,0.954545,1]
recall
0.7294117647058823 [0.47619,0.5,0.954545,1]
recall
0.7411764705882353 [0.238095,0.818182,0.954545,0.95]
recall
0.7176470588235294 [0.190476,0.681818,1,1]
recall
0.8235294117647058 [0.333333,0.954545,1,1]
recall
0.7619047619047619 [0.318182,0.818182,0.952381,1]
recall
0.7380952380952381 [0.5,0.47619,1,1]
recall
0.7619047619047619 [0.619048,0.47619,0.954545,1]
recall
0.7023809523809523 [0.190476,0.619048,1,1]
relative_absolute_error
0.28248066022930773
relative_absolute_error
0.3609475102930043
relative_absolute_error
0.3609475102930043
relative_absolute_error
0.345254140280265
relative_absolute_error
0.3766408803057436
relative_absolute_error
0.2354005501910898
relative_absolute_error
0.31764420112483405
relative_absolute_error
0.3492911444421614
relative_absolute_error
0.3175729950869588
relative_absolute_error
0.39696624385869855
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
0.32539568672798425
root_mean_squared_error
0.36782348707914075
root_mean_squared_error
0.36782348707914075
root_mean_squared_error
0.3597384670922507
root_mean_squared_error
0.37573457465108967
root_mean_squared_error
0.2970442628930023
root_mean_squared_error
0.3450327796711771
root_mean_squared_error
0.36187343222787294
root_mean_squared_error
0.3450327796711771
root_mean_squared_error
0.3857583749052298
root_relative_squared_error
0.7516501913587222
root_relative_squared_error
0.8496566049456846
root_relative_squared_error
0.8496566049456846
root_relative_squared_error
0.8309805527785729
root_relative_squared_error
0.8679308806347841
root_relative_squared_error
0.6861596086004116
root_relative_squared_error
0.7971121411074134
root_relative_squared_error
0.8357371870999702
root_relative_squared_error
0.7969334452261931
root_relative_squared_error
0.8909986785344366
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
35.23293600301258
usercpu_time_millis
34.31253200687934
usercpu_time_millis
33.87649399519432
usercpu_time_millis
33.75801599759143
usercpu_time_millis
34.32235500076786
usercpu_time_millis
34.30000500520691
usercpu_time_millis
34.49574600381311
usercpu_time_millis
33.73711300082505
usercpu_time_millis
34.27144298620988
usercpu_time_millis
34.21797600458376
usercpu_time_millis_testing
2.9948599985800683
usercpu_time_millis_testing
2.956208001705818
usercpu_time_millis_testing
2.923487001680769
usercpu_time_millis_testing
2.936536999186501
usercpu_time_millis_testing
2.917200996307656
usercpu_time_millis_testing
2.9468440043274313
usercpu_time_millis_testing
2.863551999325864
usercpu_time_millis_testing
2.8463700000429526
usercpu_time_millis_testing
2.92483699740842
usercpu_time_millis_testing
2.866333001293242
usercpu_time_millis_training
32.238076004432514
usercpu_time_millis_training
31.35632400517352
usercpu_time_millis_training
30.953006993513554
usercpu_time_millis_training
30.821478998404928
usercpu_time_millis_training
31.4051540044602
usercpu_time_millis_training
31.35316100087948
usercpu_time_millis_training
31.632194004487246
usercpu_time_millis_training
30.890743000782095
usercpu_time_millis_training
31.346605988801457
usercpu_time_millis_training
31.35164300329052
wall_clock_time_millis
51.24950408935547
wall_clock_time_millis
34.3928337097168
wall_clock_time_millis
33.898115158081055
wall_clock_time_millis
33.777713775634766
wall_clock_time_millis
34.340858459472656
wall_clock_time_millis
34.32059288024902
wall_clock_time_millis
34.516096115112305
wall_clock_time_millis
33.77103805541992
wall_clock_time_millis
34.30461883544922
wall_clock_time_millis
50.25124549865723
wall_clock_time_millis_testing
3.004789352416992
wall_clock_time_millis_testing
2.966165542602539
wall_clock_time_millis_testing
2.9349327087402344
wall_clock_time_millis_testing
2.9463768005371094
wall_clock_time_millis_testing
2.927541732788086
wall_clock_time_millis_testing
2.9573440551757812
wall_clock_time_millis_testing
2.874135971069336
wall_clock_time_millis_testing
2.8569698333740234
wall_clock_time_millis_testing
2.9354095458984375
wall_clock_time_millis_testing
2.8753280639648438
wall_clock_time_millis_training
48.24471473693848
wall_clock_time_millis_training
31.426668167114258
wall_clock_time_millis_training
30.96318244934082
wall_clock_time_millis_training
30.831336975097656
wall_clock_time_millis_training
31.41331672668457
wall_clock_time_millis_training
31.363248825073242
wall_clock_time_millis_training
31.64196014404297
wall_clock_time_millis_training
30.9140682220459
wall_clock_time_millis_training
31.36920928955078
wall_clock_time_millis_training
47.37591743469238