10329357
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)
8184977
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
0.42681252219264904
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.23495235580748663
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.0419665675168468
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
55681
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
21580411
description
https://api.openml.org/data/download/21580411/description.xml
-1
21580412
predictions
https://api.openml.org/data/download/21580412/predictions.arff
area_under_roc_curve
0.8233459293400681 [0.642194,0.73355,0.96732,0.956529]
average_cost
0
f_measure
0.7162113344716187 [0.452599,0.597015,0.941704,0.88]
kappa
0.6471054880921565
kb_relative_information_score
0.6815236013025299
mean_absolute_error
0.13238770685579196
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.7266459813538875 [0.643478,0.555556,0.921053,0.788845]
predictive_accuracy
0.735224586288416
prior_entropy
1.9990667866719984
recall
0.735224586288416 [0.349057,0.645161,0.963303,0.994975]
relative_absolute_error
0.3531838485167759
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.36385121527321024
root_relative_squared_error
0.8404576783263628
total_cost
0
area_under_roc_curve
0.8438396672771673 [0.667039,0.800144,0.977273,0.930769]
area_under_roc_curve
0.8271138583638583 [0.659226,0.73088,0.9614,0.961538]
area_under_roc_curve
0.8116090506715508 [0.603795,0.73088,0.9614,0.953846]
area_under_roc_curve
0.8186851343101342 [0.603423,0.783189,0.945527,0.944231]
area_under_roc_curve
0.8349301739926739 [0.651414,0.722944,1,0.969231]
area_under_roc_curve
0.8588560744810745 [0.698661,0.814935,0.969336,0.953846]
area_under_roc_curve
0.8486352357320099 [0.688416,0.789589,0.97619,0.961538]
area_under_roc_curve
0.7932467677931386 [0.640029,0.642857,0.944444,0.960938]
area_under_roc_curve
0.8020793330773169 [0.650794,0.626984,0.969208,0.960938]
area_under_roc_curve
0.793634792626728 [0.555556,0.68254,0.967742,0.96875]
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
0.7484617709571189 [0.5,0.695652,0.976744,0.816327]
f_measure
0.7246977914312083 [0.484848,0.595745,0.933333,0.888889]
f_measure
0.6930120077633274 [0.375,0.595745,0.933333,0.869565]
f_measure
0.6966895112629607 [0.357143,0.653846,0.893617,0.883721]
f_measure
0.7399706406626821 [0.470588,0.583333,1,0.909091]
f_measure
0.7739663256606991 [0.5625,0.708333,0.954545,0.869565]
f_measure
0.7612520145135007 [0.545455,0.666667,0.97561,0.883721]
f_measure
0.6701261701261702 [0.461538,0.461538,0.888889,0.888889]
f_measure
0.6898173618327662 [0.473684,0.439024,0.954545,0.888889]
f_measure
0.6442218892218892 [0.230769,0.52,0.916667,0.909091]
kappa
0.6865781710914454
kappa
0.6547904744323426
kappa
0.6234772978959026
kappa
0.6384985207100591
kappa
0.6704209748892171
kappa
0.7176079734219268
kappa
0.6988679245283019
kappa
0.5879245283018868
kappa
0.6033994334277619
kappa
0.5871455576559546
kb_relative_information_score
0.7169306457456617
kb_relative_information_score
0.6887903027472615
kb_relative_information_score
0.6603897537972313
kb_relative_information_score
0.6738365457657742
kb_relative_information_score
0.7028350598312021
kb_relative_information_score
0.745201091719877
kb_relative_information_score
0.7277199042524936
kb_relative_information_score
0.6283027301565751
kb_relative_information_score
0.6425802928922948
kb_relative_information_score
0.6275302015875627
mean_absolute_error
0.11764705882352941
mean_absolute_error
0.12941176470588237
mean_absolute_error
0.1411764705882353
mean_absolute_error
0.13529411764705881
mean_absolute_error
0.12352941176470589
mean_absolute_error
0.10588235294117647
mean_absolute_error
0.1130952380952381
mean_absolute_error
0.15476190476190477
mean_absolute_error
0.1488095238095238
mean_absolute_error
0.15476190476190477
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
0.7733234986784682 [0.727273,0.666667,1,0.689655]
precision
0.7341994884910487 [0.666667,0.56,0.913043,0.8]
precision
0.6970131454223526 [0.545455,0.56,0.913043,0.769231]
precision
0.73492242114237 [0.714286,0.566667,0.84,0.826087]
precision
0.7463046757164403 [0.615385,0.538462,1,0.833333]
precision
0.7994241053064582 [0.818182,0.653846,0.954545,0.769231]
precision
0.7968835522714832 [0.818182,0.586207,1,0.791667]
precision
0.6624649859943977 [0.529412,0.5,0.833333,0.8]
precision
0.6853291316526611 [0.529412,0.45,0.954545,0.8]
precision
0.6820933855416614 [0.6,0.448276,0.846154,0.833333]
predictive_accuracy
0.7647058823529411
predictive_accuracy
0.7411764705882353
predictive_accuracy
0.7176470588235294
predictive_accuracy
0.7294117647058823
predictive_accuracy
0.7529411764705882
predictive_accuracy
0.7882352941176471
predictive_accuracy
0.7738095238095238
predictive_accuracy
0.6904761904761905
predictive_accuracy
0.7023809523809524
predictive_accuracy
0.6904761904761905
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
0.7647058823529411 [0.380952,0.727273,0.954545,1]
recall
0.7411764705882353 [0.380952,0.636364,0.954545,1]
recall
0.7176470588235294 [0.285714,0.636364,0.954545,1]
recall
0.7294117647058823 [0.238095,0.772727,0.954545,0.95]
recall
0.7529411764705882 [0.380952,0.636364,1,1]
recall
0.788235294117647 [0.428571,0.772727,0.954545,1]
recall
0.7738095238095238 [0.409091,0.772727,0.952381,1]
recall
0.6904761904761905 [0.409091,0.428571,0.952381,1]
recall
0.7023809523809523 [0.428571,0.428571,0.954545,1]
recall
0.6904761904761905 [0.142857,0.619048,1,1]
relative_absolute_error
0.3138674002547863
relative_absolute_error
0.345254140280265
relative_absolute_error
0.3766408803057436
relative_absolute_error
0.3609475102930043
relative_absolute_error
0.32956077026752567
relative_absolute_error
0.28248066022930773
relative_absolute_error
0.30176199106859236
relative_absolute_error
0.412798625249827
relative_absolute_error
0.39696624385869855
relative_absolute_error
0.4128448936130465
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
0.3429971702850177
root_mean_squared_error
0.3597384670922507
root_mean_squared_error
0.37573457465108967
root_mean_squared_error
0.36782348707914075
root_mean_squared_error
0.3514675116774037
root_mean_squared_error
0.32539568672798425
root_mean_squared_error
0.33629635456727464
root_mean_squared_error
0.3933978962347216
root_mean_squared_error
0.3857583749052298
root_mean_squared_error
0.3933978962347216
root_relative_squared_error
0.7923088694649917
root_relative_squared_error
0.8309805527785729
root_relative_squared_error
0.8679308806347841
root_relative_squared_error
0.8496566049456846
root_relative_squared_error
0.811874997684088
root_relative_squared_error
0.7516501913587222
root_relative_squared_error
0.77692881091243
root_relative_squared_error
0.9085421087315966
root_relative_squared_error
0.8909986785344366
root_relative_squared_error
0.9086439296864952
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
57.01764399418607
usercpu_time_millis
58.84764301299583
usercpu_time_millis
58.78070900507737
usercpu_time_millis
58.309300991822965
usercpu_time_millis
63.04596399422735
usercpu_time_millis
58.99747199146077
usercpu_time_millis
58.464603003812954
usercpu_time_millis
58.11076999816578
usercpu_time_millis
58.40568299754523
usercpu_time_millis
58.15863200405147
usercpu_time_millis_testing
5.001644996809773
usercpu_time_millis_testing
5.067505000624806
usercpu_time_millis_testing
5.094035004731268
usercpu_time_millis_testing
5.09570499707479
usercpu_time_millis_testing
5.052944994531572
usercpu_time_millis_testing
5.014733993448317
usercpu_time_millis_testing
5.003707003197633
usercpu_time_millis_testing
4.980552999768406
usercpu_time_millis_testing
5.014990994823165
usercpu_time_millis_testing
5.042602002504282
usercpu_time_millis_training
52.0159989973763
usercpu_time_millis_training
53.780138012371026
usercpu_time_millis_training
53.6866740003461
usercpu_time_millis_training
53.213595994748175
usercpu_time_millis_training
57.99301899969578
usercpu_time_millis_training
53.98273799801245
usercpu_time_millis_training
53.46089600061532
usercpu_time_millis_training
53.13021699839737
usercpu_time_millis_training
53.39069200272206
usercpu_time_millis_training
53.11603000154719
wall_clock_time_millis
89.03741836547852
wall_clock_time_millis
58.884382247924805
wall_clock_time_millis
58.80331993103027
wall_clock_time_millis
58.47620964050293
wall_clock_time_millis
63.09938430786133
wall_clock_time_millis
59.06200408935547
wall_clock_time_millis
58.49909782409668
wall_clock_time_millis
58.159828186035156
wall_clock_time_millis
58.441162109375
wall_clock_time_millis
58.17866325378418
wall_clock_time_millis_testing
5.012035369873047
wall_clock_time_millis_testing
5.079030990600586
wall_clock_time_millis_testing
5.105257034301758
wall_clock_time_millis_testing
5.106925964355469
wall_clock_time_millis_testing
5.064725875854492
wall_clock_time_millis_testing
5.025386810302734
wall_clock_time_millis_testing
5.014657974243164
wall_clock_time_millis_testing
4.991292953491211
wall_clock_time_millis_testing
5.026578903198242
wall_clock_time_millis_testing
5.053281784057617
wall_clock_time_millis_training
84.02538299560547
wall_clock_time_millis_training
53.80535125732422
wall_clock_time_millis_training
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wall_clock_time_millis_training
53.36928367614746
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
53.484439849853516
wall_clock_time_millis_training
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wall_clock_time_millis_training
53.41458320617676
wall_clock_time_millis_training
53.12538146972656