10327052
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)
8182720
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
0.09788648458625807
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6697798570289542
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.0019999675017863946
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
10597
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
21575790
description
https://api.openml.org/data/download/21575790/description.xml
-1
21575791
predictions
https://api.openml.org/data/download/21575791/predictions.arff
area_under_roc_curve
0.8355555555555555 [0.9475,0.846111,0.94,0.784722,0.738611,0.900278,0.603611,0.8425,0.974444,0.777778]
average_cost
0
f_measure
0.7028383102418514 [0.944591,0.577617,0.849765,0.707692,0.610592,0.838046,0.320557,0.762943,0.914692,0.501887]
kappa
0.6711111111111111
kb_relative_information_score
0.690455782794054
mean_absolute_error
0.05920000000000057
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7484672232564912 [1,0.451977,0.800885,0.92,0.809917,0.862434,0.528736,0.838323,0.869369,0.40303]
predictive_accuracy
0.7040000000000001
prior_entropy
3.3219280948872383
recall
0.704 [0.895,0.8,0.905,0.575,0.49,0.815,0.23,0.7,0.965,0.665]
relative_absolute_error
0.3288888888888819
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.24331050121192996
root_relative_squared_error
0.811035004039754
total_cost
0
area_under_roc_curve
0.8305555555555556 [0.925,0.875,0.941667,0.822222,0.797222,0.944444,0.536111,0.722222,0.991667,0.75]
area_under_roc_curve
0.8444444444444444 [1,0.869444,0.936111,0.8,0.725,0.916667,0.630556,0.791667,0.944444,0.830556]
area_under_roc_curve
0.825 [0.9,0.880556,0.894444,0.744444,0.688889,0.844444,0.669444,0.819444,0.991667,0.816667]
area_under_roc_curve
0.8333333333333333 [0.9,0.780556,0.958333,0.819444,0.791667,0.863889,0.633333,0.847222,0.958333,0.780556]
area_under_roc_curve
0.8138888888888889 [0.975,0.733333,0.894444,0.719444,0.716667,0.888889,0.541667,0.908333,0.994444,0.766667]
area_under_roc_curve
0.8444444444444443 [0.975,0.844444,0.994444,0.819444,0.666667,0.938889,0.591667,0.888889,0.997222,0.727778]
area_under_roc_curve
0.8583333333333333 [0.975,0.852778,0.938889,0.85,0.769444,0.819444,0.647222,0.916667,0.994444,0.819444]
area_under_roc_curve
0.8666666666666666 [0.975,0.877778,0.944444,0.847222,0.694444,0.919444,0.686111,0.894444,0.969444,0.858333]
area_under_roc_curve
0.8249999999999998 [0.9,0.877778,0.986111,0.675,0.716667,0.916667,0.566667,0.847222,0.986111,0.777778]
area_under_roc_curve
0.813888888888889 [0.95,0.869444,0.911111,0.75,0.819444,0.95,0.533333,0.788889,0.916667,0.65]
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
0.6832558092229776 [0.918919,0.618182,0.745098,0.764706,0.727273,0.9,0.148148,0.6,0.930233,0.48]
f_measure
0.7191976129036468 [1,0.596491,0.837209,0.75,0.62069,0.85,0.363636,0.685714,0.9,0.588235]
f_measure
0.6896763108653752 [0.888889,0.571429,0.842105,0.625,0.5,0.777778,0.482759,0.742857,0.930233,0.535714]
f_measure
0.7011804465375895 [0.888889,0.530612,0.844444,0.742857,0.685714,0.769231,0.375,0.8,0.844444,0.530612]
f_measure
0.657274093565966 [0.974359,0.428571,0.842105,0.580645,0.5625,0.8,0.16,0.790698,0.952381,0.481481]
f_measure
0.7095074550562355 [0.974359,0.571429,0.952381,0.742857,0.466667,0.857143,0.296296,0.8,0.97561,0.458333]
f_measure
0.746060857997595 [0.974359,0.603774,0.857143,0.823529,0.666667,0.742857,0.444444,0.85,0.952381,0.545455]
f_measure
0.759035080580803 [0.974359,0.62963,0.9,0.8,0.533333,0.871795,0.484848,0.842105,0.926829,0.627451]
f_measure
0.6724750712250713 [0.888889,0.62963,0.888889,0.518519,0.5625,0.85,0.230769,0.8,0.888889,0.466667]
f_measure
0.6691228070175438 [0.947368,0.596491,0.809524,0.666667,0.742857,0.947368,0.142857,0.666667,0.85,0.321429]
kappa
0.6611111111111111
kappa
0.6888888888888889
kappa
0.65
kappa
0.6666666666666666
kappa
0.6277777777777779
kappa
0.6888888888888889
kappa
0.7166666666666667
kappa
0.7333333333333334
kappa
0.65
kappa
0.6277777777777779
kb_relative_information_score
0.6810439653789969
kb_relative_information_score
0.707187902643014
kb_relative_information_score
0.6705863904733903
kb_relative_information_score
0.6862727528318004
kb_relative_information_score
0.6496712406621766
kb_relative_information_score
0.707187902643014
kb_relative_information_score
0.7333318399070311
kb_relative_information_score
0.7490182022654411
kb_relative_information_score
0.6705863904733903
kb_relative_information_score
0.6496712406621766
mean_absolute_error
0.06099999999999994
mean_absolute_error
0.05599999999999996
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.05999999999999995
mean_absolute_error
0.06699999999999992
mean_absolute_error
0.05599999999999996
mean_absolute_error
0.050999999999999976
mean_absolute_error
0.04799999999999999
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.06699999999999992
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
0.7305545366274678 [1,0.485714,0.612903,0.928571,0.923077,0.9,0.285714,0.9,0.869565,0.4]
precision
0.7737477584392031 [1,0.459459,0.782609,1,1,0.85,0.461538,0.8,0.9,0.483871]
precision
0.7613169868554095 [1,0.418605,0.888889,0.833333,0.666667,0.875,0.777778,0.866667,0.869565,0.416667]
precision
0.7306025408348457 [1,0.448276,0.76,0.866667,0.8,0.789474,0.5,0.933333,0.76,0.448276]
precision
0.7020978325454028 [1,0.333333,0.888889,0.818182,0.75,0.8,0.4,0.73913,0.909091,0.382353]
precision
0.7455050505050506 [1,0.444444,0.909091,0.866667,0.7,0.818182,0.571429,0.8,0.952381,0.392857]
precision
0.8060656010656011 [1,0.484848,0.818182,1,0.846154,0.866667,0.857143,0.85,0.909091,0.428571]
precision
0.795323461673207 [1,0.5,0.9,0.933333,0.8,0.894737,0.615385,0.888889,0.904762,0.516129]
precision
0.7483333333333334 [1,0.5,0.8,1,0.75,0.85,0.5,0.933333,0.8,0.35]
precision
0.7198853398853399 [1,0.459459,0.772727,1,0.866667,1,0.25,0.75,0.85,0.25]
predictive_accuracy
0.695
predictive_accuracy
0.72
predictive_accuracy
0.685
predictive_accuracy
0.7
predictive_accuracy
0.665
predictive_accuracy
0.72
predictive_accuracy
0.745
predictive_accuracy
0.76
predictive_accuracy
0.685
predictive_accuracy
0.665
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
0.695 [0.85,0.85,0.95,0.65,0.6,0.9,0.1,0.45,1,0.6]
recall
0.72 [1,0.85,0.9,0.6,0.45,0.85,0.3,0.6,0.9,0.75]
recall
0.685 [0.8,0.9,0.8,0.5,0.4,0.7,0.35,0.65,1,0.75]
recall
0.7 [0.8,0.65,0.95,0.65,0.6,0.75,0.3,0.7,0.95,0.65]
recall
0.665 [0.95,0.6,0.8,0.45,0.45,0.8,0.1,0.85,1,0.65]
recall
0.72 [0.95,0.8,1,0.65,0.35,0.9,0.2,0.8,1,0.55]
recall
0.745 [0.95,0.8,0.9,0.7,0.55,0.65,0.3,0.85,1,0.75]
recall
0.76 [0.95,0.85,0.9,0.7,0.4,0.85,0.4,0.8,0.95,0.8]
recall
0.685 [0.8,0.85,1,0.35,0.45,0.85,0.15,0.7,1,0.7]
recall
0.665 [0.9,0.85,0.85,0.5,0.65,0.9,0.1,0.6,0.85,0.45]
relative_absolute_error
0.3388888888888889
relative_absolute_error
0.3111111111111112
relative_absolute_error
0.35
relative_absolute_error
0.3333333333333334
relative_absolute_error
0.37222222222222223
relative_absolute_error
0.3111111111111112
relative_absolute_error
0.28333333333333355
relative_absolute_error
0.2666666666666669
relative_absolute_error
0.35
relative_absolute_error
0.37222222222222223
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
0.24698178070456928
root_mean_squared_error
0.23664319132398456
root_mean_squared_error
0.25099800796022254
root_mean_squared_error
0.24494897427831772
root_mean_squared_error
0.25884358211089553
root_mean_squared_error
0.23664319132398456
root_mean_squared_error
0.22583179581272425
root_mean_squared_error
0.21908902300206642
root_mean_squared_error
0.25099800796022254
root_mean_squared_error
0.25884358211089553
root_relative_squared_error
0.8232726023485647
root_relative_squared_error
0.7888106377466158
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.8164965809277261
root_relative_squared_error
0.8628119403696521
root_relative_squared_error
0.7888106377466158
root_relative_squared_error
0.7527726527090813
root_relative_squared_error
0.7302967433402218
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.8628119403696521
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
786.1063439922873
usercpu_time_millis
801.4354319966515
usercpu_time_millis
800.7149839977501
usercpu_time_millis
805.2672879930469
usercpu_time_millis
804.5942679964355
usercpu_time_millis
800.699142004305
usercpu_time_millis
813.8834580095136
usercpu_time_millis
803.416135997395
usercpu_time_millis
808.9935959942522
usercpu_time_millis
804.4794060042477
usercpu_time_millis_testing
52.01293099526083
usercpu_time_millis_testing
53.72960599925136
usercpu_time_millis_testing
53.47596800129395
usercpu_time_millis_testing
55.7760999945458
usercpu_time_millis_testing
53.597322999848984
usercpu_time_millis_testing
53.71637899952475
usercpu_time_millis_testing
53.880582003330346
usercpu_time_millis_testing
53.08428299758816
usercpu_time_millis_testing
55.15784899762366
usercpu_time_millis_testing
50.65708800248103
usercpu_time_millis_training
734.0934129970265
usercpu_time_millis_training
747.7058259974001
usercpu_time_millis_training
747.2390159964561
usercpu_time_millis_training
749.4911879985011
usercpu_time_millis_training
750.9969449965865
usercpu_time_millis_training
746.9827630047803
usercpu_time_millis_training
760.0028760061832
usercpu_time_millis_training
750.3318529998069
usercpu_time_millis_training
753.8357469966286
usercpu_time_millis_training
753.8223180017667
wall_clock_time_millis
786.3528728485107
wall_clock_time_millis
1021.6586589813232
wall_clock_time_millis
816.9054985046387
wall_clock_time_millis
821.4924335479736
wall_clock_time_millis
820.9130764007568
wall_clock_time_millis
816.910982131958
wall_clock_time_millis
862.1847629547119
wall_clock_time_millis
867.7024841308594
wall_clock_time_millis
821.129322052002
wall_clock_time_millis
876.5580654144287
wall_clock_time_millis_testing
52.02817916870117
wall_clock_time_millis_testing
53.81417274475098
wall_clock_time_millis_testing
53.492069244384766
wall_clock_time_millis_testing
55.791378021240234
wall_clock_time_millis_testing
53.612709045410156
wall_clock_time_millis_testing
53.73215675354004
wall_clock_time_millis_testing
53.896427154541016
wall_clock_time_millis_testing
53.1005859375
wall_clock_time_millis_testing
55.17387390136719
wall_clock_time_millis_testing
50.67276954650879
wall_clock_time_millis_training
734.3246936798096
wall_clock_time_millis_training
967.8444862365723
wall_clock_time_millis_training
763.4134292602539
wall_clock_time_millis_training
765.7010555267334
wall_clock_time_millis_training
767.3003673553467
wall_clock_time_millis_training
763.178825378418
wall_clock_time_millis_training
808.2883358001709
wall_clock_time_millis_training
814.6018981933594
wall_clock_time_millis_training
765.9554481506348
wall_clock_time_millis_training
825.8852958679199