10329355
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)
8184975
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
4297.397059178814
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.013499300518863278
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.1820082271280914
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
55618
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
21580407
description
https://api.openml.org/data/download/21580407/description.xml
-1
21580408
predictions
https://api.openml.org/data/download/21580408/predictions.arff
area_under_roc_curve
0.86955626058655 [0.769448,0.766142,0.98694,0.960382]
average_cost
0
f_measure
0.8062676548226801 [0.649886,0.654206,0.983834,0.944162]
kappa
0.7398397924533223
kb_relative_information_score
0.7652117031284834
mean_absolute_error
0.0975177304964539
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.8079953615227239 [0.631111,0.663507,0.990698,0.953846]
predictive_accuracy
0.8049645390070921
prior_entropy
1.9990667866719984
recall
0.8049645390070922 [0.669811,0.645161,0.977064,0.934673]
relative_absolute_error
0.2601577455592323
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.3122782901459112
root_relative_squared_error
0.7213296966197683
total_cost
0
area_under_roc_curve
0.8586233211233212 [0.723214,0.800144,0.977273,0.934615]
area_under_roc_curve
0.874496336996337 [0.818452,0.770563,1,0.909615]
area_under_roc_curve
0.8583829365079365 [0.779018,0.709235,0.977273,0.975]
area_under_roc_curve
0.8818166208791209 [0.746652,0.814935,0.977273,0.992308]
area_under_roc_curve
0.8898809523809523 [0.794643,0.79329,1,0.975]
area_under_roc_curve
0.9138106684981685 [0.873884,0.8171,0.977273,0.992308]
area_under_roc_curve
0.8952892985151051 [0.815249,0.837977,0.992063,0.947368]
area_under_roc_curve
0.8159242191500256 [0.653226,0.674603,0.97619,0.975]
area_under_roc_curve
0.8573908730158731 [0.738095,0.706349,1,0.984375]
area_under_roc_curve
0.8492023489503328 [0.753968,0.730159,0.991935,0.917188]
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
0.789240033481641 [0.585366,0.695652,0.976744,0.9]
f_measure
0.8121870286576169 [0.711111,0.666667,1,0.871795]
f_measure
0.7910897920652277 [0.652174,0.571429,0.976744,0.974359]
f_measure
0.8217300993299371 [0.631579,0.708333,0.976744,0.97561]
f_measure
0.8371082178195721 [0.681818,0.697674,1,0.974359]
f_measure
0.8698276449843544 [0.782609,0.75,0.976744,0.97561]
f_measure
0.8461701734957549 [0.727273,0.755556,0.976744,0.944444]
f_measure
0.7318419758011364 [0.488889,0.511628,0.97561,0.974359]
f_measure
0.78085056324259 [0.604651,0.564103,1,0.952381]
f_measure
0.7746727930938457 [0.622222,0.6,0.977778,0.894737]
kappa
0.7174515235457065
kappa
0.7489385268598855
kappa
0.7176079734219268
kappa
0.7644994458810491
kappa
0.7802806499261447
kappa
0.8275544079675397
kappa
0.7932209808748343
kappa
0.6346444780635401
kappa
0.7142857142857143
kappa
0.6981274825042558
kb_relative_information_score
0.7446048475376377
kb_relative_information_score
0.7727469114691964
kb_relative_information_score
0.7454884330199246
kb_relative_information_score
0.7878019151449225
kb_relative_information_score
0.8017437046014657
kb_relative_information_score
0.8448632189966129
kb_relative_information_score
0.8130681129837198
kb_relative_information_score
0.6707607154583424
kb_relative_information_score
0.7427235378116005
kb_relative_information_score
0.7271233968592496
mean_absolute_error
0.10588235294117647
mean_absolute_error
0.09411764705882353
mean_absolute_error
0.10588235294117647
mean_absolute_error
0.08823529411764706
mean_absolute_error
0.08235294117647059
mean_absolute_error
0.06470588235294118
mean_absolute_error
0.07738095238095238
mean_absolute_error
0.13690476190476192
mean_absolute_error
0.10714285714285714
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
0.7913725490196079 [0.6,0.666667,1,0.9]
precision
0.8152321981424149 [0.666667,0.7,1,0.894737]
precision
0.7976470588235294 [0.6,0.6,1,1]
precision
0.8265383981646957 [0.705882,0.653846,1,0.952381]
precision
0.84011691633175 [0.652174,0.714286,1,1]
precision
0.8764817927170869 [0.72,0.833333,1,0.952381]
precision
0.8488848108413326 [0.727273,0.73913,0.954545,1]
precision
0.7383540372670807 [0.478261,0.5,1,1]
precision
0.7788600288600288 [0.590909,0.611111,1,0.909091]
precision
0.7791133933868488 [0.583333,0.631579,0.956522,0.944444]
predictive_accuracy
0.7882352941176471
predictive_accuracy
0.8117647058823529
predictive_accuracy
0.7882352941176471
predictive_accuracy
0.823529411764706
predictive_accuracy
0.8352941176470589
predictive_accuracy
0.8705882352941177
predictive_accuracy
0.8452380952380952
predictive_accuracy
0.7261904761904762
predictive_accuracy
0.7857142857142857
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
0.788235294117647 [0.571429,0.727273,0.954545,0.9]
recall
0.8117647058823529 [0.761905,0.636364,1,0.85]
recall
0.788235294117647 [0.714286,0.545455,0.954545,0.95]
recall
0.8235294117647058 [0.571429,0.772727,0.954545,1]
recall
0.8352941176470589 [0.714286,0.681818,1,0.95]
recall
0.8705882352941177 [0.857143,0.681818,0.954545,1]
recall
0.8452380952380952 [0.727273,0.772727,1,0.894737]
recall
0.7261904761904762 [0.5,0.52381,0.952381,0.95]
recall
0.7857142857142857 [0.619048,0.52381,1,1]
recall
0.7738095238095238 [0.666667,0.571429,1,0.85]
relative_absolute_error
0.28248066022930773
relative_absolute_error
0.2510939202038291
relative_absolute_error
0.28248066022930773
relative_absolute_error
0.2354005501910898
relative_absolute_error
0.21970718017835045
relative_absolute_error
0.1726270701401325
relative_absolute_error
0.20646873073114214
relative_absolute_error
0.3651680146440778
relative_absolute_error
0.2858156955782629
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
0.32539568672798425
root_mean_squared_error
0.3067859955389482
root_mean_squared_error
0.32539568672798425
root_mean_squared_error
0.2970442628930023
root_mean_squared_error
0.2869720215917757
root_mean_squared_error
0.25437350953458415
root_mean_squared_error
0.2781743201320934
root_mean_squared_error
0.37000643495047747
root_mean_squared_error
0.32732683535398854
root_mean_squared_error
0.33629635456727464
root_relative_squared_error
0.7516501913587222
root_relative_squared_error
0.7086625965198915
root_relative_squared_error
0.7516501913587222
root_relative_squared_error
0.6861596086004116
root_relative_squared_error
0.6628931597497634
root_relative_squared_error
0.5875919839038747
root_relative_squared_error
0.6426523535906091
root_relative_squared_error
0.854520143273956
root_relative_squared_error
0.7560374491439432
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
64.35259099816903
usercpu_time_millis
64.56323100428563
usercpu_time_millis
62.66821100143716
usercpu_time_millis
65.54382400645409
usercpu_time_millis
64.68872100231238
usercpu_time_millis
65.26293999922927
usercpu_time_millis
64.12599098985083
usercpu_time_millis
63.24942300852854
usercpu_time_millis
64.50169600429945
usercpu_time_millis
65.52803399972618
usercpu_time_millis_testing
4.163698002230376
usercpu_time_millis_testing
4.258382992702536
usercpu_time_millis_testing
4.086928005563095
usercpu_time_millis_testing
4.1606890008552
usercpu_time_millis_testing
4.12164100271184
usercpu_time_millis_testing
4.108918001293205
usercpu_time_millis_testing
4.084715998033062
usercpu_time_millis_testing
4.147323008510284
usercpu_time_millis_testing
4.069786999025382
usercpu_time_millis_testing
4.292180004995316
usercpu_time_millis_training
60.18889299593866
usercpu_time_millis_training
60.30484801158309
usercpu_time_millis_training
58.58128299587406
usercpu_time_millis_training
61.38313500559889
usercpu_time_millis_training
60.56707999960054
usercpu_time_millis_training
61.15402199793607
usercpu_time_millis_training
60.04127499181777
usercpu_time_millis_training
59.102100000018254
usercpu_time_millis_training
60.431909005274065
usercpu_time_millis_training
61.23585399473086
wall_clock_time_millis
76.37381553649902
wall_clock_time_millis
64.67437744140625
wall_clock_time_millis
62.68668174743652
wall_clock_time_millis
65.63401222229004
wall_clock_time_millis
64.70918655395508
wall_clock_time_millis
65.34004211425781
wall_clock_time_millis
64.15414810180664
wall_clock_time_millis
63.26770782470703
wall_clock_time_millis
64.53227996826172
wall_clock_time_millis
65.57512283325195
wall_clock_time_millis_testing
4.170894622802734
wall_clock_time_millis_testing
4.265785217285156
wall_clock_time_millis_testing
4.094362258911133
wall_clock_time_millis_testing
4.168272018432617
wall_clock_time_millis_testing
4.128456115722656
wall_clock_time_millis_testing
4.116296768188477
wall_clock_time_millis_testing
4.091739654541016
wall_clock_time_millis_testing
4.155397415161133
wall_clock_time_millis_testing
4.077911376953125
wall_clock_time_millis_testing
4.300594329833984
wall_clock_time_millis_training
72.20292091369629
wall_clock_time_millis_training
60.408592224121094
wall_clock_time_millis_training
58.59231948852539
wall_clock_time_millis_training
61.46574020385742
wall_clock_time_millis_training
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wall_clock_time_millis_training
61.223745346069336
wall_clock_time_millis_training
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wall_clock_time_millis_training
59.1123104095459
wall_clock_time_millis_training
60.454368591308594
wall_clock_time_millis_training
61.27452850341797