10329356
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)
8184976
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
4.6521870291674965
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.2115772105392888
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.1618086969775427
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
2926
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
21580409
description
https://api.openml.org/data/download/21580409/description.xml
-1
21580410
predictions
https://api.openml.org/data/download/21580410/predictions.arff
area_under_roc_curve
0.8742713568745555 [0.762403,0.779091,0.988437,0.972172]
average_cost
0
f_measure
0.8118209141666162 [0.645933,0.669704,0.983908,0.955]
kappa
0.7493053031785525
kb_relative_information_score
0.7738469637201106
mean_absolute_error
0.09397163120567376
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.8117102903391374 [0.65534,0.662162,0.986175,0.950249]
predictive_accuracy
0.8120567375886525
prior_entropy
1.9990667866719984
recall
0.8120567375886525 [0.636792,0.677419,0.981651,0.959799]
relative_absolute_error
0.25069746390253295
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.3065479264416475
root_relative_squared_error
0.7080931648378566
total_cost
0
area_under_roc_curve
0.8824328449328449 [0.770833,0.823954,0.977273,0.959615]
area_under_roc_curve
0.8664358211233212 [0.778646,0.75469,1,0.934615]
area_under_roc_curve
0.8504426129426128 [0.699405,0.761544,0.977273,0.967308]
area_under_roc_curve
0.8816926129426128 [0.730655,0.806999,1,0.992308]
area_under_roc_curve
0.8898809523809523 [0.794643,0.79329,1,0.975]
area_under_roc_curve
0.8901251526251526 [0.818452,0.778499,0.977273,0.992308]
area_under_roc_curve
0.8952892985151051 [0.800587,0.829912,0.992063,0.973684]
area_under_roc_curve
0.8721198156682026 [0.76173,0.769841,0.968254,1]
area_under_roc_curve
0.8653273809523809 [0.730159,0.746032,1,0.984375]
area_under_roc_curve
0.8492023489503328 [0.738095,0.722222,0.991935,0.942187]
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
0.8243702245503988 [0.651163,0.744186,0.976744,0.926829]
f_measure
0.8 [0.666667,0.636364,1,0.9]
f_measure
0.777422650406031 [0.55,0.638298,0.976744,0.95]
f_measure
0.8189509950321592 [0.611111,0.693878,1,0.97561]
f_measure
0.8371082178195721 [0.681818,0.697674,1,0.974359]
f_measure
0.8348034210848264 [0.711111,0.682927,0.976744,0.97561]
f_measure
0.8449198770591231 [0.714286,0.73913,0.976744,0.972973]
f_measure
0.8095238095238095 [0.651163,0.651163,0.952381,1]
f_measure
0.7934240362811791 [0.6,0.619048,1,0.952381]
f_measure
0.7733691299771844 [0.604651,0.585366,0.977778,0.923077]
kappa
0.7647167374054253
kappa
0.7331979320531758
kappa
0.7016992981159956
kappa
0.7644124168514412
kappa
0.7802806499261447
kappa
0.7804833056631618
kappa
0.7933383800151399
kappa
0.7459837459837461
kappa
0.7301587301587302
kappa
0.6981845688350984
kb_relative_information_score
0.7875688445417104
kb_relative_information_score
0.7589098105732084
kb_relative_information_score
0.7308978496174647
kb_relative_information_score
0.7876463977538479
kb_relative_information_score
0.8017437046014657
kb_relative_information_score
0.8023924985473825
kb_relative_information_score
0.8134357160963305
kb_relative_information_score
0.7712731052308058
kb_relative_information_score
0.7568265514113094
kb_relative_information_score
0.7274908155642211
mean_absolute_error
0.08823529411764706
mean_absolute_error
0.1
mean_absolute_error
0.11176470588235295
mean_absolute_error
0.08823529411764706
mean_absolute_error
0.08235294117647059
mean_absolute_error
0.08235294117647059
mean_absolute_error
0.07738095238095238
mean_absolute_error
0.09523809523809523
mean_absolute_error
0.10119047619047619
mean_absolute_error
0.1130952380952381
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
0.8261268143621083 [0.636364,0.761905,1,0.904762]
precision
0.8 [0.666667,0.636364,1,0.9]
precision
0.7806811145510835 [0.578947,0.6,1,0.95]
precision
0.8270525988173048 [0.733333,0.62963,1,0.952381]
precision
0.84011691633175 [0.652174,0.714286,1,1]
precision
0.8383311219224532 [0.666667,0.736842,1,0.952381]
precision
0.8467712842712842 [0.75,0.708333,0.954545,1]
precision
0.8098845598845599 [0.666667,0.636364,0.952381,1]
precision
0.7910116199589884 [0.631579,0.619048,1,0.909091]
precision
0.7738087808453942 [0.590909,0.6,0.956522,0.947368]
predictive_accuracy
0.823529411764706
predictive_accuracy
0.8
predictive_accuracy
0.776470588235294
predictive_accuracy
0.823529411764706
predictive_accuracy
0.8352941176470589
predictive_accuracy
0.8352941176470589
predictive_accuracy
0.8452380952380952
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.7976190476190476
predictive_accuracy
0.7738095238095238
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 [0.666667,0.727273,0.954545,0.95]
recall
0.8 [0.666667,0.636364,1,0.9]
recall
0.7764705882352941 [0.52381,0.681818,0.954545,0.95]
recall
0.8235294117647058 [0.52381,0.772727,1,1]
recall
0.8352941176470589 [0.714286,0.681818,1,0.95]
recall
0.8352941176470589 [0.761905,0.636364,0.954545,1]
recall
0.8452380952380952 [0.681818,0.772727,1,0.947368]
recall
0.8095238095238095 [0.636364,0.666667,0.952381,1]
recall
0.7976190476190477 [0.571429,0.619048,1,1]
recall
0.7738095238095238 [0.619048,0.571429,1,0.9]
relative_absolute_error
0.2354005501910898
relative_absolute_error
0.2667872902165684
relative_absolute_error
0.2981740302420471
relative_absolute_error
0.2354005501910898
relative_absolute_error
0.21970718017835045
relative_absolute_error
0.21970718017835045
relative_absolute_error
0.20646873073114214
relative_absolute_error
0.2540299232306628
relative_absolute_error
0.26993704582391503
relative_absolute_error
0.3016943453326109
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
0.31622776601683794
root_mean_squared_error
0.33431228796194873
root_mean_squared_error
0.2970442628930023
root_mean_squared_error
0.2869720215917757
root_mean_squared_error
0.2869720215917757
root_mean_squared_error
0.2781743201320934
root_mean_squared_error
0.3086066999241838
root_mean_squared_error
0.3181045051401759
root_mean_squared_error
0.33629635456727464
root_relative_squared_error
0.6861596086004116
root_relative_squared_error
0.7304726845939957
root_relative_squared_error
0.7722471608243364
root_relative_squared_error
0.6861596086004116
root_relative_squared_error
0.6628931597497634
root_relative_squared_error
0.6628931597497634
root_relative_squared_error
0.6426523535906091
root_relative_squared_error
0.712719067898946
root_relative_squared_error
0.7347363327766473
root_relative_squared_error
0.7767546397119783
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
56.949474004795775
usercpu_time_millis
55.14918200788088
usercpu_time_millis
55.338081991067156
usercpu_time_millis
56.00112798856571
usercpu_time_millis
55.46638500527479
usercpu_time_millis
55.29238500457723
usercpu_time_millis
55.36882998421788
usercpu_time_millis
54.309446990373544
usercpu_time_millis
55.05676100437995
usercpu_time_millis
54.97801801539026
usercpu_time_millis_testing
4.559576002066024
usercpu_time_millis_testing
4.205703007755801
usercpu_time_millis_testing
4.243748000590131
usercpu_time_millis_testing
4.298760992242023
usercpu_time_millis_testing
4.241090995492414
usercpu_time_millis_testing
4.206407000310719
usercpu_time_millis_testing
4.1862259968183935
usercpu_time_millis_testing
4.097957003978081
usercpu_time_millis_testing
4.113597009563819
usercpu_time_millis_testing
4.2350120056653395
usercpu_time_millis_training
52.38989800272975
usercpu_time_millis_training
50.94347900012508
usercpu_time_millis_training
51.094333990477026
usercpu_time_millis_training
51.70236699632369
usercpu_time_millis_training
51.225294009782374
usercpu_time_millis_training
51.08597800426651
usercpu_time_millis_training
51.18260398739949
usercpu_time_millis_training
50.21148998639546
usercpu_time_millis_training
50.94316399481613
usercpu_time_millis_training
50.74300600972492
wall_clock_time_millis
72.96061515808105
wall_clock_time_millis
55.16934394836426
wall_clock_time_millis
55.3584098815918
wall_clock_time_millis
56.06579780578613
wall_clock_time_millis
55.501461029052734
wall_clock_time_millis
55.313825607299805
wall_clock_time_millis
55.3889274597168
wall_clock_time_millis
54.36897277832031
wall_clock_time_millis
55.15623092651367
wall_clock_time_millis
55.02724647521973
wall_clock_time_millis_testing
4.567861557006836
wall_clock_time_millis_testing
4.2171478271484375
wall_clock_time_millis_testing
4.253387451171875
wall_clock_time_millis_testing
4.308938980102539
wall_clock_time_millis_testing
4.251956939697266
wall_clock_time_millis_testing
4.218339920043945
wall_clock_time_millis_testing
4.197359085083008
wall_clock_time_millis_testing
4.108905792236328
wall_clock_time_millis_testing
4.124879837036133
wall_clock_time_millis_testing
4.245758056640625
wall_clock_time_millis_training
68.39275360107422
wall_clock_time_millis_training
50.95219612121582
wall_clock_time_millis_training
51.10502243041992
wall_clock_time_millis_training
51.756858825683594
wall_clock_time_millis_training
51.24950408935547
wall_clock_time_millis_training
51.09548568725586
wall_clock_time_millis_training
51.19156837463379
wall_clock_time_millis_training
50.260066986083984
wall_clock_time_millis_training
51.03135108947754
wall_clock_time_millis_training
50.7814884185791