10329371
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)
8184991
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
363.6635002375271
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.5399612747801303
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
2.353046556401698
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
25322
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
21580439
description
https://api.openml.org/data/download/21580439/description.xml
-1
21580440
predictions
https://api.openml.org/data/download/21580440/predictions.arff
area_under_roc_curve
0.5470249803930137 [0.522313,0.544138,0.643962,0.470307]
average_cost
0
f_measure
0.328615447987481 [0.310559,0.290323,0.458333,0.247505]
kappa
0.09246167922836936
kb_relative_information_score
0.1747266189304223
mean_absolute_error
0.3416075650118203
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.3751538163590595 [0.276753,0.348387,0.652542,0.205298]
predictive_accuracy
0.31678486997635935
prior_entropy
1.9990667866719984
recall
0.31678486997635935 [0.353774,0.248848,0.353211,0.311558]
relative_absolute_error
0.911340466262038
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.5844720395466496
root_relative_squared_error
1.3500683597695247
total_cost
0
area_under_roc_curve
0.5803933913308914 [0.550967,0.582973,0.635281,0.548077]
area_under_roc_curve
0.5682596916971917 [0.547991,0.565296,0.68759,0.461538]
area_under_roc_curve
0.5311431623931624 [0.516369,0.498196,0.620491,0.484615]
area_under_roc_curve
0.5873569139194138 [0.535342,0.596681,0.696609,0.511538]
area_under_roc_curve
0.5882020757020757 [0.550595,0.5671,0.688672,0.540385]
area_under_roc_curve
0.5010321275946277 [0.487723,0.468254,0.587662,0.455769]
area_under_roc_curve
0.5211036275552404 [0.519062,0.560117,0.547619,0.448988]
area_under_roc_curve
0.5637800819252432 [0.557918,0.515873,0.690476,0.4875]
area_under_roc_curve
0.5335901497695852 [0.468254,0.579365,0.604106,0.476562]
area_under_roc_curve
0.4950156810035842 [0.484127,0.507937,0.678886,0.290625]
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
0.3634953401902554 [0.372881,0.296296,0.4375,0.346154]
f_measure
0.3447715572715573 [0.222222,0.40625,0.540541,0.190476]
f_measure
0.2890913558405818 [0.148148,0.315789,0.4,0.285714]
f_measure
0.39298018760410275 [0.360656,0.363636,0.5625,0.272727]
f_measure
0.3823268468681612 [0.363636,0.275862,0.545455,0.339623]
f_measure
0.22079249373938653 [0.305085,0,0.368421,0.212766]
f_measure
0.26262535278928717 [0.333333,0.230769,0.222222,0.262295]
f_measure
0.3363636349207936 [0.377358,0.148148,0.540541,0.27451]
f_measure
0.3033239908239908 [0.307692,0.296296,0.375,0.227273]
f_measure
0.2275388225465625 [0,0.321429,0.526316,0.039216]
kappa
0.15887850467289716
kappa
0.1350601295097133
kappa
0.06129210381004972
kappa
0.17233143487047586
kappa
0.1741521539871677
kappa
0.0012851110703139392
kappa
0.04044943820224724
kappa
0.12698412698412698
kappa
0.06596306068601582
kappa
-0.013001695873374821
kb_relative_information_score
0.23386488341067102
kb_relative_information_score
0.21621126208496158
kb_relative_information_score
0.1478050654935524
kb_relative_information_score
0.2464043964148259
kb_relative_information_score
0.24775412310353725
kb_relative_information_score
0.09092985624767126
kb_relative_information_score
0.12451016459176001
kb_relative_information_score
0.20949937316602565
kb_relative_information_score
0.15163428237885346
kb_relative_information_score
0.0770458424535132
mean_absolute_error
0.3176470588235294
mean_absolute_error
0.3235294117647059
mean_absolute_error
0.35294117647058826
mean_absolute_error
0.31176470588235294
mean_absolute_error
0.31176470588235294
mean_absolute_error
0.3764705882352941
mean_absolute_error
0.3630952380952381
mean_absolute_error
0.3273809523809524
mean_absolute_error
0.35119047619047616
mean_absolute_error
0.38095238095238093
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
0.5259287925696595 [0.289474,0.8,0.7,0.28125]
precision
0.41897122485357774 [0.5,0.309524,0.666667,0.181818]
precision
0.39531279178338 [0.333333,0.257143,0.75,0.222222]
precision
0.5008823529411766 [0.275,0.545455,0.9,0.25]
precision
0.49649934840246257 [0.294118,0.571429,0.818182,0.272727]
precision
0.21532221075564725 [0.236842,0,0.4375,0.185185]
precision
0.4381731859410431 [0.28125,0.75,0.5,0.190476]
precision
0.3778321812596006 [0.322581,0.333333,0.625,0.225806]
precision
0.43023088023088024 [0.227273,0.666667,0.6,0.208333]
precision
0.23565668202764975 [0,0.257143,0.625,0.032258]
predictive_accuracy
0.36470588235294116
predictive_accuracy
0.35294117647058826
predictive_accuracy
0.29411764705882354
predictive_accuracy
0.3764705882352941
predictive_accuracy
0.3764705882352941
predictive_accuracy
0.24705882352941178
predictive_accuracy
0.2738095238095238
predictive_accuracy
0.34523809523809523
predictive_accuracy
0.2976190476190476
predictive_accuracy
0.2380952380952381
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
0.36470588235294116 [0.52381,0.181818,0.318182,0.45]
recall
0.35294117647058826 [0.142857,0.590909,0.454545,0.2]
recall
0.29411764705882354 [0.095238,0.409091,0.272727,0.4]
recall
0.3764705882352941 [0.52381,0.272727,0.409091,0.3]
recall
0.3764705882352941 [0.47619,0.181818,0.409091,0.45]
recall
0.24705882352941178 [0.428571,0,0.318182,0.25]
recall
0.27380952380952384 [0.409091,0.136364,0.142857,0.421053]
recall
0.34523809523809523 [0.454545,0.095238,0.47619,0.35]
recall
0.2976190476190476 [0.47619,0.190476,0.272727,0.25]
recall
0.23809523809523808 [0,0.428571,0.454545,0.05]
relative_absolute_error
0.8474419806879232
relative_absolute_error
0.8631353507006625
relative_absolute_error
0.9416022007643592
relative_absolute_error
0.8317486106751838
relative_absolute_error
0.8317486106751838
relative_absolute_error
1.0043756808153164
relative_absolute_error
0.9688148134307438
relative_absolute_error
0.8732278611054034
relative_absolute_error
0.9368403355065285
relative_absolute_error
1.0162335842782684
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
0.5636018619766345
root_mean_squared_error
0.568796458994521
root_mean_squared_error
0.5940885257860046
root_mean_squared_error
0.5583589400039664
root_mean_squared_error
0.5583589400039664
root_mean_squared_error
0.6135719910778964
root_mean_squared_error
0.6025738445163697
root_mean_squared_error
0.5721721352713294
root_mean_squared_error
0.592613260221602
root_mean_squared_error
0.6172133998483676
root_relative_squared_error
1.3018963209521761
root_relative_squared_error
1.3138956190430258
root_relative_squared_error
1.3723192172008232
root_relative_squared_error
1.289785394271918
root_relative_squared_error
1.289785394271918
root_relative_squared_error
1.417325193039783
root_relative_squared_error
1.392096506991371
root_relative_squared_error
1.321416518269099
root_relative_squared_error
1.368778142196267
root_relative_squared_error
1.4255978856550984
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
40.963802006444894
usercpu_time_millis
37.89896800299175
usercpu_time_millis
37.65171600389294
usercpu_time_millis
38.177402995643206
usercpu_time_millis
36.996928000007756
usercpu_time_millis
38.3413810050115
usercpu_time_millis
38.69770601158962
usercpu_time_millis
37.73406500113197
usercpu_time_millis
38.375547010218725
usercpu_time_millis
38.21359899302479
usercpu_time_millis_testing
2.7320689987391233
usercpu_time_millis_testing
2.811546000884846
usercpu_time_millis_testing
2.818780005327426
usercpu_time_millis_testing
2.8179630025988445
usercpu_time_millis_testing
2.776036999421194
usercpu_time_millis_testing
2.7945070032728836
usercpu_time_millis_testing
2.7337680076016113
usercpu_time_millis_testing
2.7670620038406923
usercpu_time_millis_testing
2.7466480096336454
usercpu_time_millis_testing
2.732555993134156
usercpu_time_millis_training
38.23173300770577
usercpu_time_millis_training
35.087422002106905
usercpu_time_millis_training
34.83293599856552
usercpu_time_millis_training
35.35943999304436
usercpu_time_millis_training
34.22089100058656
usercpu_time_millis_training
35.546874001738615
usercpu_time_millis_training
35.963938003988005
usercpu_time_millis_training
34.967002997291274
usercpu_time_millis_training
35.62889900058508
usercpu_time_millis_training
35.48104299989063
wall_clock_time_millis
40.98057746887207
wall_clock_time_millis
37.9185676574707
wall_clock_time_millis
53.672075271606445
wall_clock_time_millis
38.19441795349121
wall_clock_time_millis
37.01472282409668
wall_clock_time_millis
38.3601188659668
wall_clock_time_millis
38.71655464172363
wall_clock_time_millis
37.75501251220703
wall_clock_time_millis
70.39761543273926
wall_clock_time_millis
70.22786140441895
wall_clock_time_millis_testing
2.740621566772461
wall_clock_time_millis_testing
2.822399139404297
wall_clock_time_millis_testing
18.831253051757812
wall_clock_time_millis_testing
2.8257369995117188
wall_clock_time_millis_testing
2.784252166748047
wall_clock_time_millis_testing
2.8035640716552734
wall_clock_time_millis_testing
2.743244171142578
wall_clock_time_millis_testing
2.7763843536376953
wall_clock_time_millis_testing
2.7556419372558594
wall_clock_time_millis_testing
2.738475799560547
wall_clock_time_millis_training
38.23995590209961
wall_clock_time_millis_training
35.096168518066406
wall_clock_time_millis_training
34.84082221984863
wall_clock_time_millis_training
35.36868095397949
wall_clock_time_millis_training
34.23047065734863
wall_clock_time_millis_training
35.55655479431152
wall_clock_time_millis_training
35.973310470581055
wall_clock_time_millis_training
34.978628158569336
wall_clock_time_millis_training
67.6419734954834
wall_clock_time_millis_training
67.4893856048584