10329334
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)
8184954
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
1770.5746268532694
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.00018316061302407925
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
43655
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
21580365
description
https://api.openml.org/data/download/21580365/description.xml
-1
21580366
predictions
https://api.openml.org/data/download/21580366/predictions.arff
area_under_roc_curve
0.8672409136479409 [0.768689,0.766303,0.967415,0.97256]
average_cost
0
f_measure
0.798683844216026 [0.654028,0.657143,0.945701,0.946078]
kappa
0.7351925205227288
kb_relative_information_score
0.761275777370092
mean_absolute_error
0.09929078014184398
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.7966889634126668 [0.657143,0.679803,0.933036,0.923445]
predictive_accuracy
0.801418439716312
prior_entropy
1.9990667866719984
recall
0.8014184397163121 [0.650943,0.635945,0.958716,0.969849]
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
0.8821848290598292 [0.762649,0.808081,0.977273,0.984615]
area_under_roc_curve
0.8506829975579975 [0.762649,0.731962,0.938672,0.976923]
area_under_roc_curve
0.8587473290598292 [0.739211,0.739899,0.977273,0.984615]
area_under_roc_curve
0.8741243131868133 [0.770461,0.79329,0.953463,0.984615]
area_under_roc_curve
0.8738839285714286 [0.754836,0.769481,0.977273,1]
area_under_roc_curve
0.9216231684981685 [0.881696,0.832973,0.984127,0.992308]
area_under_roc_curve
0.8714679585647327 [0.784457,0.784457,0.968254,0.965992]
area_under_roc_curve
0.8564948156682026 [0.76173,0.746032,0.944444,0.984375]
area_under_roc_curve
0.8731358806963646 [0.801587,0.761905,0.969208,0.959375]
area_under_roc_curve
0.8093918010752688 [0.666667,0.690476,0.983871,0.892188]
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
0.8215345362951382 [0.65,0.711111,0.976744,0.952381]
f_measure
0.7712585499316007 [0.65,0.604651,0.909091,0.930233]
f_measure
0.7865025079799363 [0.604651,0.619048,0.976744,0.952381]
f_measure
0.8056872091607119 [0.666667,0.697674,0.913043,0.952381]
f_measure
0.8135678982436646 [0.634146,0.652174,0.976744,1]
f_measure
0.879106993358263 [0.8,0.789474,0.956522,0.97561]
f_measure
0.8095238095238095 [0.681818,0.681818,0.952381,0.947368]
f_measure
0.7774169643377546 [0.651163,0.631579,0.888889,0.952381]
f_measure
0.8075922399589444 [0.697674,0.65,0.954545,0.926829]
f_measure
0.7155841457273058 [0.5,0.536585,0.956522,0.864865]
kappa
0.7646733111849391
kappa
0.702029520295203
kappa
0.7177642501383508
kappa
0.7489385268598855
kappa
0.7488457987072945
kappa
0.8432023611879726
kappa
0.7457434733257662
kappa
0.7143396939353863
kappa
0.7459837459837461
kappa
0.6185430463576159
kb_relative_information_score
0.7879320181207374
kb_relative_information_score
0.731676746539196
kb_relative_information_score
0.7457215036231369
kb_relative_information_score
0.7738618466215372
kb_relative_information_score
0.7738618466215372
kb_relative_information_score
0.8589079760805534
kb_relative_information_score
0.7707360953320791
kb_relative_information_score
0.7428106225599044
kb_relative_information_score
0.7709827290274327
kb_relative_information_score
0.6550562964425504
mean_absolute_error
0.08823529411764706
mean_absolute_error
0.11176470588235295
mean_absolute_error
0.10588235294117647
mean_absolute_error
0.09411764705882353
mean_absolute_error
0.09411764705882353
mean_absolute_error
0.058823529411764705
mean_absolute_error
0.09523809523809523
mean_absolute_error
0.10714285714285714
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
0.821818671300432 [0.684211,0.695652,1,0.909091]
precision
0.7691620355235914 [0.684211,0.619048,0.909091,0.869565]
precision
0.786951871657754 [0.590909,0.65,1,0.909091]
precision
0.8036796536796538 [0.722222,0.714286,0.875,0.909091]
precision
0.8164705882352942 [0.65,0.625,1,1]
precision
0.8892857142857142 [0.75,0.9375,0.916667,0.952381]
precision
0.8095238095238095 [0.681818,0.681818,0.952381,0.947368]
precision
0.7758573126220185 [0.666667,0.705882,0.833333,0.909091]
precision
0.8069266781672797 [0.681818,0.684211,0.954545,0.904762]
precision
0.7212342183250112 [0.478261,0.55,0.916667,0.941176]
predictive_accuracy
0.823529411764706
predictive_accuracy
0.776470588235294
predictive_accuracy
0.7882352941176471
predictive_accuracy
0.8117647058823529
predictive_accuracy
0.8117647058823529
predictive_accuracy
0.8823529411764706
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.7857142857142857
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
0.8235294117647058 [0.619048,0.727273,0.954545,1]
recall
0.7764705882352941 [0.619048,0.590909,0.909091,1]
recall
0.788235294117647 [0.619048,0.590909,0.954545,1]
recall
0.8117647058823529 [0.619048,0.681818,0.954545,1]
recall
0.8117647058823529 [0.619048,0.681818,0.954545,1]
recall
0.8823529411764706 [0.857143,0.681818,1,1]
recall
0.8095238095238095 [0.681818,0.681818,0.952381,0.947368]
recall
0.7857142857142857 [0.636364,0.571429,0.952381,1]
recall
0.8095238095238095 [0.714286,0.619048,0.954545,0.95]
recall
0.7142857142857143 [0.52381,0.52381,1,0.8]
relative_absolute_error
0.2354005501910898
relative_absolute_error
0.2981740302420471
relative_absolute_error
0.28248066022930773
relative_absolute_error
0.2510939202038291
relative_absolute_error
0.2510939202038291
relative_absolute_error
0.15693370012739316
relative_absolute_error
0.25411536089986725
relative_absolute_error
0.2857836636344956
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
0.2970442628930023
root_mean_squared_error
0.33431228796194873
root_mean_squared_error
0.32539568672798425
root_mean_squared_error
0.3067859955389482
root_mean_squared_error
0.3067859955389482
root_mean_squared_error
0.24253562503633297
root_mean_squared_error
0.3086066999241838
root_mean_squared_error
0.32732683535398854
root_mean_squared_error
0.3086066999241838
root_mean_squared_error
0.3779644730092272
root_relative_squared_error
0.6861596086004116
root_relative_squared_error
0.7722471608243364
root_relative_squared_error
0.7516501913587222
root_relative_squared_error
0.7086625965198915
root_relative_squared_error
0.7086625965198915
root_relative_squared_error
0.5602469743929427
root_relative_squared_error
0.7129587732826324
root_relative_squared_error
0.7559527289884501
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
49.031738002668135
usercpu_time_millis
46.155067000654526
usercpu_time_millis
46.618051987024955
usercpu_time_millis
44.83010001422372
usercpu_time_millis
45.602948986925185
usercpu_time_millis
46.16659300518222
usercpu_time_millis
46.6021830070531
usercpu_time_millis
45.69261100550648
usercpu_time_millis
45.93311900680419
usercpu_time_millis
45.84458300087135
usercpu_time_millis_testing
3.564714003005065
usercpu_time_millis_testing
3.61729999713134
usercpu_time_millis_testing
3.616012996644713
usercpu_time_millis_testing
3.5703880130313337
usercpu_time_millis_testing
3.623282987973653
usercpu_time_millis_testing
3.6483599978964776
usercpu_time_millis_testing
3.5894030006602407
usercpu_time_millis_testing
3.569282009266317
usercpu_time_millis_testing
3.592357999878004
usercpu_time_millis_testing
3.527289009070955
usercpu_time_millis_training
45.46702399966307
usercpu_time_millis_training
42.537767003523186
usercpu_time_millis_training
43.00203899038024
usercpu_time_millis_training
41.25971200119238
usercpu_time_millis_training
41.97966599895153
usercpu_time_millis_training
42.518233007285744
usercpu_time_millis_training
43.01278000639286
usercpu_time_millis_training
42.12332899624016
usercpu_time_millis_training
42.340761006926186
usercpu_time_millis_training
42.3172939918004
wall_clock_time_millis
49.05104637145996
wall_clock_time_millis
46.192169189453125
wall_clock_time_millis
46.66757583618164
wall_clock_time_millis
44.88015174865723
wall_clock_time_millis
45.624494552612305
wall_clock_time_millis
46.22244834899902
wall_clock_time_millis
46.65064811706543
wall_clock_time_millis
45.71533203125
wall_clock_time_millis
45.952796936035156
wall_clock_time_millis
45.864105224609375
wall_clock_time_millis_testing
3.575563430786133
wall_clock_time_millis_testing
3.629446029663086
wall_clock_time_millis_testing
3.6270618438720703
wall_clock_time_millis_testing
3.5800933837890625
wall_clock_time_millis_testing
3.6346912384033203
wall_clock_time_millis_testing
3.6728382110595703
wall_clock_time_millis_testing
3.60107421875
wall_clock_time_millis_testing
3.5805702209472656
wall_clock_time_millis_testing
3.603219985961914
wall_clock_time_millis_testing
3.5369396209716797
wall_clock_time_millis_training
45.47548294067383
wall_clock_time_millis_training
42.56272315979004
wall_clock_time_millis_training
43.04051399230957
wall_clock_time_millis_training
41.300058364868164
wall_clock_time_millis_training
41.989803314208984
wall_clock_time_millis_training
42.54961013793945
wall_clock_time_millis_training
43.04957389831543
wall_clock_time_millis_training
42.134761810302734
wall_clock_time_millis_training
42.34957695007324
wall_clock_time_millis_training
42.327165603637695