10328508
8323
Heinrich Peters
14
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8184155
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
7.013344375249213
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.4986025326959227
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.14201683116848024
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
12331
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.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21578702
description
https://api.openml.org/data/download/21578702/description.xml
-1
21578703
predictions
https://api.openml.org/data/download/21578703/predictions.arff
area_under_roc_curve
0.7513888888888887 [0.875,0.745833,0.834444,0.770278,0.775556,0.706111,0.614722,0.781667,0.8125,0.597778]
average_cost
0
f_measure
0.5750607913488152 [0.857143,0.64918,0.797619,0.511066,0.411765,0.422131,0.334385,0.699387,0.769231,0.298701]
kappa
0.5027777777777778
kb_relative_information_score
0.5320235229741107
mean_absolute_error
0.08949999999999919
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.6778100758492022 [1,0.942857,0.985294,0.427609,0.281022,0.357639,0.452991,0.904762,1,0.425926]
predictive_accuracy
0.5525
prior_entropy
3.3219280948872383
recall
0.5525 [0.75,0.495,0.67,0.635,0.77,0.515,0.265,0.57,0.625,0.23]
relative_absolute_error
0.49722222222220247
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2991655060330305
root_relative_squared_error
0.9972183534434197
total_cost
0
area_under_roc_curve
0.761111111111111 [0.9,0.766667,0.8,0.822222,0.8,0.794444,0.638889,0.775,0.75,0.563889]
area_under_roc_curve
0.7666666666666666 [0.9,0.672222,0.875,0.836111,0.813889,0.644444,0.625,0.797222,0.875,0.627778]
area_under_roc_curve
0.7805555555555556 [0.825,0.822222,0.8,0.744444,0.877778,0.85,0.633333,0.747222,0.925,0.580556]
area_under_roc_curve
0.763888888888889 [0.875,0.675,0.775,0.725,0.777778,0.813889,0.783333,0.722222,0.825,0.666667]
area_under_roc_curve
0.7194444444444444 [0.875,0.697222,0.775,0.766667,0.769444,0.738889,0.552778,0.766667,0.725,0.527778]
area_under_roc_curve
0.7527777777777778 [0.9,0.825,0.875,0.625,0.766667,0.697222,0.580556,0.872222,0.825,0.561111]
area_under_roc_curve
0.7694444444444443 [0.875,0.75,0.9,0.891667,0.788889,0.697222,0.561111,0.766667,0.85,0.613889]
area_under_roc_curve
0.7361111111111112 [0.85,0.725,0.85,0.741667,0.744444,0.6,0.677778,0.844444,0.675,0.652778]
area_under_roc_curve
0.7277777777777779 [0.85,0.75,0.875,0.775,0.661111,0.575,0.536111,0.75,0.875,0.630556]
area_under_roc_curve
0.7361111111111112 [0.9,0.775,0.819444,0.775,0.755556,0.65,0.558333,0.775,0.8,0.552778]
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
0.6033652137447204 [0.888889,0.647059,0.75,0.764706,0.619048,0.365385,0.4,0.709677,0.666667,0.222222]
f_measure
0.6064518373614796 [0.888889,0.5,0.857143,0.717949,0.391753,0.428571,0.342857,0.727273,0.857143,0.352941]
f_measure
0.6206739977612843 [0.787879,0.764706,0.75,0.625,0.62963,0.452381,0.375,0.645161,0.918919,0.258065]
f_measure
0.6165984627803439 [0.857143,0.518519,0.709677,0.62069,0.6,0.373832,0.631579,0.6,0.787879,0.466667]
f_measure
0.530140990767831 [0.857143,0.551724,0.709677,0.333333,0.666667,0.588235,0.193548,0.647059,0.62069,0.133333]
f_measure
0.591253035680177 [0.888889,0.787879,0.857143,0.4,0.333333,0.551724,0.258065,0.833333,0.787879,0.214286]
f_measure
0.6173127472966732 [0.857143,0.666667,0.888889,0.820513,0.358491,0.551724,0.214286,0.647059,0.823529,0.344828]
f_measure
0.5669311730265076 [0.823529,0.62069,0.823529,0.606061,0.321429,0.333333,0.444444,0.777778,0.518519,0.4]
f_measure
0.541188104878235 [0.823529,0.666667,0.857143,0.330579,0.4375,0.26087,0.148148,0.666667,0.857143,0.363636]
f_measure
0.5694795588475007 [0.888889,0.709677,0.742857,0.709677,0.322034,0.461538,0.206897,0.709677,0.75,0.193548]
kappa
0.5222222222222221
kappa
0.5333333333333333
kappa
0.5611111111111111
kappa
0.5277777777777778
kappa
0.4388888888888889
kappa
0.5055555555555556
kappa
0.5388888888888889
kappa
0.47222222222222227
kappa
0.4555555555555556
kappa
0.47222222222222227
kb_relative_information_score
0.5503242790589122
kb_relative_information_score
0.5607818539645189
kb_relative_information_score
0.586925791228536
kb_relative_information_score
0.5555530665117155
kb_relative_information_score
0.47189246726686124
kb_relative_information_score
0.534637916700502
kb_relative_information_score
0.5660106414173224
kb_relative_information_score
0.5032651919836815
kb_relative_information_score
0.48757882962527144
kb_relative_information_score
0.5032651919836816
mean_absolute_error
0.08599999999999985
mean_absolute_error
0.08399999999999987
mean_absolute_error
0.07899999999999988
mean_absolute_error
0.08499999999999985
mean_absolute_error
0.1009999999999998
mean_absolute_error
0.08899999999999984
mean_absolute_error
0.08299999999999987
mean_absolute_error
0.09499999999999982
mean_absolute_error
0.09799999999999981
mean_absolute_error
0.09499999999999982
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.755995670995671 [1,0.785714,1,0.928571,0.590909,0.22619,0.6,1,1,0.428571]
precision
0.7360243703664757 [1,0.875,1,0.736842,0.246753,0.75,0.4,0.923077,1,0.428571]
precision
0.7331507034632035 [1,0.928571,1,0.833333,0.5,0.296875,0.5,0.909091,1,0.363636]
precision
0.809655172413793 [1,1,1,1,0.6,0.229885,0.666667,0.9,1,0.7]
precision
0.6909897667344476 [1,0.888889,1,0.202128,0.846154,0.714286,0.272727,0.785714,1,0.2]
precision
0.7767152912099721 [1,1,1,1,0.202128,0.888889,0.363636,0.9375,1,0.375]
precision
0.7668194225874764 [1,1,1,0.842105,0.22093,0.888889,0.375,0.785714,1,0.555556]
precision
0.780654960981048 [1,1,1,0.769231,0.195652,1,0.5,0.875,1,0.466667]
precision
0.7528605882566279 [1,1,1,0.19802,0.583333,1,0.285714,1,1,0.461538]
precision
0.7666604823747682 [1,1,0.866667,1,0.193878,1,0.333333,1,1,0.272727]
predictive_accuracy
0.57
predictive_accuracy
0.58
predictive_accuracy
0.605
predictive_accuracy
0.575
predictive_accuracy
0.495
predictive_accuracy
0.555
predictive_accuracy
0.585
predictive_accuracy
0.525
predictive_accuracy
0.51
predictive_accuracy
0.525
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
recall
0.57 [0.8,0.55,0.6,0.65,0.65,0.95,0.3,0.55,0.5,0.15]
recall
0.58 [0.8,0.35,0.75,0.7,0.95,0.3,0.3,0.6,0.75,0.3]
recall
0.605 [0.65,0.65,0.6,0.5,0.85,0.95,0.3,0.5,0.85,0.2]
recall
0.575 [0.75,0.35,0.55,0.45,0.6,1,0.6,0.45,0.65,0.35]
recall
0.495 [0.75,0.4,0.55,0.95,0.55,0.5,0.15,0.55,0.45,0.1]
recall
0.555 [0.8,0.65,0.75,0.25,0.95,0.4,0.2,0.75,0.65,0.15]
recall
0.585 [0.75,0.5,0.8,0.8,0.95,0.4,0.15,0.55,0.7,0.25]
recall
0.525 [0.7,0.45,0.7,0.5,0.9,0.2,0.4,0.7,0.35,0.35]
recall
0.51 [0.7,0.5,0.75,1,0.35,0.15,0.1,0.5,0.75,0.3]
recall
0.525 [0.8,0.55,0.65,0.55,0.95,0.3,0.15,0.55,0.6,0.15]
relative_absolute_error
0.4777777777777775
relative_absolute_error
0.46666666666666645
relative_absolute_error
0.4388888888888887
relative_absolute_error
0.47222222222222193
relative_absolute_error
0.5611111111111107
relative_absolute_error
0.49444444444444413
relative_absolute_error
0.46111111111111086
relative_absolute_error
0.5277777777777773
relative_absolute_error
0.544444444444444
relative_absolute_error
0.5277777777777773
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.29325756597230335
root_mean_squared_error
0.28982753492378854
root_mean_squared_error
0.2810693864511037
root_mean_squared_error
0.29154759474226477
root_mean_squared_error
0.31780497164141375
root_mean_squared_error
0.2983286778035257
root_mean_squared_error
0.28809720581775844
root_mean_squared_error
0.30822070014844855
root_mean_squared_error
0.31304951684997023
root_mean_squared_error
0.30822070014844855
root_relative_squared_error
0.9775252199076785
root_relative_squared_error
0.9660917830792957
root_relative_squared_error
0.9368979548370129
root_relative_squared_error
0.9718253158075498
root_relative_squared_error
1.0593499054713797
root_relative_squared_error
0.9944289260117529
root_relative_squared_error
0.9603240193925286
root_relative_squared_error
1.0274023338281624
root_relative_squared_error
1.0434983894999013
root_relative_squared_error
1.0274023338281624
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
1195.5987369947252
usercpu_time_millis
1193.0432640001527
usercpu_time_millis
1206.0615130030783
usercpu_time_millis
1188.84782299574
usercpu_time_millis
1192.3274619985023
usercpu_time_millis
1192.3892210033955
usercpu_time_millis
1188.9296599911177
usercpu_time_millis
1198.577180999564
usercpu_time_millis
1196.4062109982478
usercpu_time_millis
1187.3335169948405
usercpu_time_millis_testing
63.63098599831574
usercpu_time_millis_testing
63.791902000957634
usercpu_time_millis_testing
64.1320659997291
usercpu_time_millis_testing
63.699156999064144
usercpu_time_millis_testing
64.79125999612734
usercpu_time_millis_testing
65.43338100163965
usercpu_time_millis_testing
63.65326499508228
usercpu_time_millis_testing
65.25878899992676
usercpu_time_millis_testing
64.213154000754
usercpu_time_millis_testing
63.77015699399635
usercpu_time_millis_training
1131.9677509964094
usercpu_time_millis_training
1129.251361999195
usercpu_time_millis_training
1141.9294470033492
usercpu_time_millis_training
1125.1486659966758
usercpu_time_millis_training
1127.536202002375
usercpu_time_millis_training
1126.9558400017559
usercpu_time_millis_training
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usercpu_time_millis_training
1133.3183919996372
usercpu_time_millis_training
1132.1930569974938
usercpu_time_millis_training
1123.563360000844
wall_clock_time_millis
1255.8605670928955
wall_clock_time_millis
1237.3058795928955
wall_clock_time_millis
1422.1761226654053
wall_clock_time_millis
1333.0864906311035
wall_clock_time_millis
1224.623441696167
wall_clock_time_millis
1396.4974880218506
wall_clock_time_millis
1461.0490798950195
wall_clock_time_millis
1530.7285785675049
wall_clock_time_millis
1324.6901035308838
wall_clock_time_millis
1187.626838684082
wall_clock_time_millis_testing
63.665151596069336
wall_clock_time_millis_testing
63.80867958068848
wall_clock_time_millis_testing
104.14290428161621
wall_clock_time_millis_testing
63.71569633483887
wall_clock_time_millis_testing
64.87011909484863
wall_clock_time_millis_testing
97.44787216186523
wall_clock_time_millis_testing
63.66848945617676
wall_clock_time_millis_testing
81.27546310424805
wall_clock_time_millis_testing
64.2549991607666
wall_clock_time_millis_testing
63.79890441894531
wall_clock_time_millis_training
1192.1954154968262
wall_clock_time_millis_training
1173.497200012207
wall_clock_time_millis_training
1318.033218383789
wall_clock_time_millis_training
1269.3707942962646
wall_clock_time_millis_training
1159.7533226013184
wall_clock_time_millis_training
1299.0496158599854
wall_clock_time_millis_training
1397.3805904388428
wall_clock_time_millis_training
1449.4531154632568
wall_clock_time_millis_training
1260.4351043701172
wall_clock_time_millis_training
1123.8279342651367