10329394
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)
8185014
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
616.7326694603752
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.43976701452156863
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.0003262760044002536
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
25740
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
21580485
description
https://api.openml.org/data/download/21580485/description.xml
-1
21580486
predictions
https://api.openml.org/data/download/21580486/predictions.arff
area_under_roc_curve
0.867233378837115 [0.76712,0.768607,0.966619,0.97256]
average_cost
0
f_measure
0.7985390640639619 [0.652381,0.660333,0.943567,0.946078]
kappa
0.7351870932401239
kb_relative_information_score
0.7612627063239675
mean_absolute_error
0.09929078014184398
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.7964016389348493 [0.658654,0.681373,0.928889,0.923445]
predictive_accuracy
0.801418439716312
prior_entropy
1.9990667866719984
recall
0.8014184397163121 [0.646226,0.640553,0.958716,0.969849]
relative_absolute_error
0.264887886387582
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.3151043956244406
root_relative_squared_error
0.72785770023632
total_cost
0
area_under_roc_curve
0.8742483211233212 [0.738839,0.800144,0.977273,0.984615]
area_under_roc_curve
0.8664320054945055 [0.794271,0.739899,0.9614,0.976923]
area_under_roc_curve
0.8508108211233211 [0.715402,0.731962,0.977273,0.984615]
area_under_roc_curve
0.8741243131868133 [0.770461,0.79329,0.953463,0.984615]
area_under_roc_curve
0.8738839285714286 [0.754836,0.777417,0.969336,1]
area_under_roc_curve
0.8983058608058607 [0.842262,0.810245,0.9614,0.984615]
area_under_roc_curve
0.8795324746937648 [0.792522,0.807185,0.968254,0.965992]
area_under_roc_curve
0.8722438236047106 [0.784457,0.769841,0.952381,0.992188]
area_under_roc_curve
0.8731358806963646 [0.801587,0.761905,0.969208,0.959375]
area_under_roc_curve
0.8092637928827445 [0.674603,0.690476,0.975806,0.892188]
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
0.8089813634094845 [0.615385,0.695652,0.976744,0.952381]
f_measure
0.7936121425314313 [0.7,0.619048,0.933333,0.930233]
f_measure
0.7745684320239725 [0.571429,0.604651,0.976744,0.952381]
f_measure
0.8056872091607119 [0.666667,0.697674,0.913043,0.952381]
f_measure
0.8115734098517455 [0.634146,0.666667,0.954545,1]
f_measure
0.8441334136474801 [0.73913,0.756757,0.933333,0.952381]
f_measure
0.8213485911160331 [0.697674,0.711111,0.952381,0.947368]
f_measure
0.8047988596769083 [0.681818,0.666667,0.909091,0.97561]
f_measure
0.8075922399589444 [0.697674,0.65,0.954545,0.926829]
f_measure
0.713160960804605 [0.511628,0.536585,0.93617,0.864865]
kappa
0.7489385268598855
kappa
0.7333948339483395
kappa
0.702029520295203
kappa
0.7489385268598855
kappa
0.7488457987072945
kappa
0.7962758112094394
kappa
0.7616345062429057
kappa
0.7459837459837461
kappa
0.7459837459837461
kappa
0.6184708554125662
kb_relative_information_score
0.7737317436457224
kb_relative_information_score
0.7599217780981519
kb_relative_information_score
0.7315212291481218
kb_relative_information_score
0.7738618466215372
kb_relative_information_score
0.7738618466215372
kb_relative_information_score
0.8165927730223976
kb_relative_information_score
0.7849778770495845
kb_relative_information_score
0.7714046975747506
kb_relative_information_score
0.7709827290274327
kb_relative_information_score
0.6550562964425504
mean_absolute_error
0.09411764705882353
mean_absolute_error
0.1
mean_absolute_error
0.11176470588235295
mean_absolute_error
0.09411764705882353
mean_absolute_error
0.09411764705882353
mean_absolute_error
0.07647058823529412
mean_absolute_error
0.08928571428571429
mean_absolute_error
0.09523809523809523
mean_absolute_error
0.09523809523809523
mean_absolute_error
0.14285714285714285
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
0.809982174688057 [0.666667,0.666667,1,0.909091]
precision
0.7911993538834298 [0.736842,0.65,0.913043,0.869565]
precision
0.7741278329513624 [0.571429,0.619048,1,0.909091]
precision
0.8036796536796538 [0.722222,0.714286,0.875,0.909091]
precision
0.8117391304347826 [0.65,0.652174,0.954545,1]
precision
0.8597895063163605 [0.68,0.933333,0.913043,0.909091]
precision
0.8216503992901509 [0.714286,0.695652,0.952381,0.947368]
precision
0.8032756580893226 [0.681818,0.722222,0.869565,0.952381]
precision
0.8069266781672797 [0.681818,0.684211,0.954545,0.904762]
precision
0.7170658263305322 [0.5,0.55,0.88,0.941176]
predictive_accuracy
0.8117647058823529
predictive_accuracy
0.8
predictive_accuracy
0.776470588235294
predictive_accuracy
0.8117647058823529
predictive_accuracy
0.8117647058823529
predictive_accuracy
0.8470588235294118
predictive_accuracy
0.8214285714285714
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.7142857142857143
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
0.8117647058823529 [0.571429,0.727273,0.954545,1]
recall
0.8 [0.666667,0.590909,0.954545,1]
recall
0.7764705882352941 [0.571429,0.590909,0.954545,1]
recall
0.8117647058823529 [0.619048,0.681818,0.954545,1]
recall
0.8117647058823529 [0.619048,0.681818,0.954545,1]
recall
0.8470588235294118 [0.809524,0.636364,0.954545,1]
recall
0.8214285714285714 [0.681818,0.727273,0.952381,0.947368]
recall
0.8095238095238095 [0.681818,0.619048,0.952381,1]
recall
0.8095238095238095 [0.714286,0.619048,0.954545,0.95]
recall
0.7142857142857143 [0.52381,0.52381,1,0.8]
relative_absolute_error
0.2510939202038291
relative_absolute_error
0.2667872902165684
relative_absolute_error
0.2981740302420471
relative_absolute_error
0.2510939202038291
relative_absolute_error
0.2510939202038291
relative_absolute_error
0.20401381016561115
relative_absolute_error
0.23823315084362556
relative_absolute_error
0.2540299232306628
relative_absolute_error
0.2540583960695671
relative_absolute_error
0.38108759410435056
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
0.3067859955389482
root_mean_squared_error
0.31622776601683794
root_mean_squared_error
0.33431228796194873
root_mean_squared_error
0.3067859955389482
root_mean_squared_error
0.3067859955389482
root_mean_squared_error
0.27653315937748607
root_mean_squared_error
0.2988071523335984
root_mean_squared_error
0.3086066999241838
root_mean_squared_error
0.3086066999241838
root_mean_squared_error
0.3779644730092272
root_relative_squared_error
0.7086625965198915
root_relative_squared_error
0.7304726845939957
root_relative_squared_error
0.7722471608243364
root_relative_squared_error
0.7086625965198915
root_relative_squared_error
0.7086625965198915
root_relative_squared_error
0.6387798321889793
root_relative_squared_error
0.690319363864026
root_relative_squared_error
0.712719067898946
root_relative_squared_error
0.7127989428275492
root_relative_squared_error
0.8729968495613873
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
45.130113008781336
usercpu_time_millis
46.064130001468584
usercpu_time_millis
44.43631699541584
usercpu_time_millis
45.17824499635026
usercpu_time_millis
45.53520301124081
usercpu_time_millis
45.32239501713775
usercpu_time_millis
44.80791500827763
usercpu_time_millis
44.3759570189286
usercpu_time_millis
45.56074998981785
usercpu_time_millis
44.66614899865817
usercpu_time_millis_testing
3.7020070012658834
usercpu_time_millis_testing
3.868402010994032
usercpu_time_millis_testing
3.7256869982229546
usercpu_time_millis_testing
3.722858993569389
usercpu_time_millis_testing
3.735636011697352
usercpu_time_millis_testing
3.701350011397153
usercpu_time_millis_testing
3.6264140071580186
usercpu_time_millis_testing
3.6519600107567385
usercpu_time_millis_testing
3.6887850001221523
usercpu_time_millis_testing
3.6265380040276796
usercpu_time_millis_training
41.42810600751545
usercpu_time_millis_training
42.19572799047455
usercpu_time_millis_training
40.71062999719288
usercpu_time_millis_training
41.45538600278087
usercpu_time_millis_training
41.79956699954346
usercpu_time_millis_training
41.6210450057406
usercpu_time_millis_training
41.181501001119614
usercpu_time_millis_training
40.723997008171864
usercpu_time_millis_training
41.8719649896957
usercpu_time_millis_training
41.03961099463049
wall_clock_time_millis
57.16681480407715
wall_clock_time_millis
46.15211486816406
wall_clock_time_millis
44.49462890625
wall_clock_time_millis
45.255184173583984
wall_clock_time_millis
45.55535316467285
wall_clock_time_millis
45.342445373535156
wall_clock_time_millis
44.85583305358887
wall_clock_time_millis
44.39568519592285
wall_clock_time_millis
45.58110237121582
wall_clock_time_millis
44.687509536743164
wall_clock_time_millis_testing
3.7136077880859375
wall_clock_time_millis_testing
3.8788318634033203
wall_clock_time_millis_testing
3.7360191345214844
wall_clock_time_millis_testing
3.7326812744140625
wall_clock_time_millis_testing
3.74603271484375
wall_clock_time_millis_testing
3.7119388580322266
wall_clock_time_millis_testing
3.6356449127197266
wall_clock_time_millis_testing
3.661632537841797
wall_clock_time_millis_testing
3.6988258361816406
wall_clock_time_millis_testing
3.6373138427734375
wall_clock_time_millis_training
53.45320701599121
wall_clock_time_millis_training
42.27328300476074
wall_clock_time_millis_training
40.758609771728516
wall_clock_time_millis_training
41.52250289916992
wall_clock_time_millis_training
41.8093204498291
wall_clock_time_millis_training
41.63050651550293
wall_clock_time_millis_training
41.22018814086914
wall_clock_time_millis_training
40.734052658081055
wall_clock_time_millis_training
41.88227653503418
wall_clock_time_millis_training
41.05019569396973