10558273
8323
Heinrich Peters
9964
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275914
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
C
1000
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
10000
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"lbfgs"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
memory
null
18591
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": "logisticregression", "step_name": "logisticregression"}}]
18591
verbose
false
18591
openml-python
Sklearn_0.21.2.
1501
semeion
https://www.openml.org/data/download/1592293/phptd5jYj
-1
22041509
description
https://api.openml.org/data/download/22041509/description.xml
-1
22041510
predictions
https://api.openml.org/data/download/22041510/predictions.arff
area_under_roc_curve
0.9885605445446766 [0.996313,0.979222,0.990432,0.991316,0.989882,0.989785,0.992105,0.997259,0.991571,0.966876]
average_cost
0
f_measure
0.895548181763729 [0.965944,0.826498,0.887574,0.924051,0.895238,0.911392,0.901235,0.93578,0.906149,0.797342]
kappa
0.8842094754181916
kb_relative_information_score
0.887518290836182
mean_absolute_error
0.02626666553879775
mean_prior_absolute_error
0.17999701595290427
weighted_recall
0.8957940991839297 [0.968944,0.829114,0.925926,0.918239,0.886792,0.89441,0.918239,0.950311,0.886076,0.774194]
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.8960431424737272 [0.962963,0.823899,0.852273,0.929936,0.903846,0.929032,0.884848,0.921687,0.927152,0.821918]
predictive_accuracy
0.8957940991839297
prior_entropy
3.3218194939376526
relative_absolute_error
0.14592833886574183
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.13876984196243425
root_relative_squared_error
0.4625699980619303
total_cost
0
unweighted_recall
0.8952244384255608 [0.968944,0.829114,0.925926,0.918239,0.886792,0.89441,0.918239,0.950311,0.886076,0.774194]
area_under_roc_curve
0.9874131944444443 [0.994358,0.971788,0.983507,0.99783,0.977865,1,0.988715,0.99783,0.990885,0.971354]
area_under_roc_curve
0.983270453205798 [0.995226,0.993924,0.988281,0.990451,0.999132,0.934896,0.974826,0.997943,0.994792,0.96092]
area_under_roc_curve
0.9885206508051336 [0.999566,0.982639,0.979167,0.996962,0.986111,0.99383,0.999566,0.998698,0.987847,0.958621]
area_under_roc_curve
0.9889781340253039 [0.97465,0.995192,0.993444,0.989948,0.979895,0.989948,0.997378,0.999563,0.995192,0.973611]
area_under_roc_curve
0.9880138346953389 [0.999126,0.963287,0.992958,0.998252,0.990385,0.997378,0.987325,0.98951,0.994907,0.965741]
area_under_roc_curve
0.983734183209336 [1,0.940997,0.989229,0.951049,0.993881,0.993881,0.993007,0.998689,0.997222,0.97963]
area_under_roc_curve
0.9908568021775569 [1,0.983829,0.993444,0.995833,0.993881,0.997378,0.996759,0.998689,0.98514,0.963724]
area_under_roc_curve
0.992965455229606 [1,0.996296,0.995192,0.995629,0.998252,0.998689,0.999563,0.999126,0.991259,0.955857]
area_under_roc_curve
0.9915250717137509 [1,0.97963,0.995192,1,0.986014,0.999563,0.994755,0.994318,0.999563,0.965472]
area_under_roc_curve
0.9891033582071318 [0.998252,0.972902,0.996503,0.999563,0.983796,0.983829,0.990385,1,0.986451,0.979021]
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
0.880868942885072 [0.9375,0.787879,0.875,0.969697,0.866667,0.967742,0.8125,0.914286,0.83871,0.83871]
f_measure
0.900661878008358 [0.882353,0.909091,0.833333,0.903226,0.9375,0.896552,0.903226,0.971429,0.933333,0.827586]
f_measure
0.8995438013915245 [0.967742,0.833333,0.882353,0.941176,0.875,0.882353,0.9375,0.9375,0.933333,0.8]
f_measure
0.906135299292328 [0.967742,0.866667,0.903226,0.896552,0.909091,0.857143,0.941176,0.967742,0.909091,0.83871]
f_measure
0.8634149543558073 [0.969697,0.709677,0.864865,0.969697,0.888889,0.903226,0.823529,0.896552,0.933333,0.666667]
f_measure
0.8879510748580957 [1,0.709677,0.909091,0.823529,0.9375,0.9375,0.903226,0.9375,0.928571,0.787879]
f_measure
0.8946891801963228 [1,0.823529,0.875,0.928571,0.866667,0.903226,0.903226,0.967742,0.875,0.8]
f_measure
0.9298841284265958 [1,0.896552,0.909091,0.941176,0.9375,0.967742,0.969697,0.9375,0.9375,0.8]
f_measure
0.9174251916996043 [1,0.896552,0.941176,0.896552,0.933333,0.969697,0.967742,0.864865,0.969697,0.733333]
f_measure
0.8726901662259606 [0.9375,0.83871,0.888889,0.967742,0.785714,0.827586,0.857143,0.969697,0.8,0.848485]
kappa
0.8680555555555556
kappa
0.8888695954158707
kappa
0.8888551209134721
kappa
0.8951786577594164
kappa
0.8531726836990459
kappa
0.8742088607594937
kappa
0.881181590399578
kappa
0.9231242582743616
kappa
0.9091468506878819
kappa
0.8602197802197803
kb_relative_information_score
0.8742730805903921
kb_relative_information_score
0.8818475175259597
kb_relative_information_score
0.8849060845674199
kb_relative_information_score
0.895972591850273
kb_relative_information_score
0.8664580532287346
kb_relative_information_score
0.8899057050087228
kb_relative_information_score
0.89633194147776
kb_relative_information_score
0.9248525281102639
kb_relative_information_score
0.9014906521433117
kb_relative_information_score
0.8592786077146373
mean_absolute_error
0.028278660455000153
mean_absolute_error
0.0286444471565727
mean_absolute_error
0.026401339474455693
mean_absolute_error
0.024763419162110566
mean_absolute_error
0.030610287341959027
mean_absolute_error
0.026448579077343888
mean_absolute_error
0.024799494677218533
mean_absolute_error
0.01816109323792856
mean_absolute_error
0.022927087710891744
mean_absolute_error
0.03160379143116564
mean_prior_absolute_error
0.17999999999999963
mean_prior_absolute_error
0.17999532127261347
mean_prior_absolute_error
0.17999532127261347
mean_prior_absolute_error
0.17999662582343604
mean_prior_absolute_error
0.17999348705453969
mean_prior_absolute_error
0.17999348705453969
mean_prior_absolute_error
0.17999819520788427
mean_prior_absolute_error
0.17999897990010832
mean_prior_absolute_error
0.17999897990010832
mean_prior_absolute_error
0.1799997645923324
number_of_instances
160 [16,16,16,16,16,16,16,16,16,16]
number_of_instances
160 [16,16,16,16,16,16,16,17,16,15]
number_of_instances
160 [16,16,16,16,16,17,16,16,16,15]
number_of_instances
159 [16,16,16,16,16,16,16,16,16,15]
number_of_instances
159 [16,16,17,16,16,16,16,16,15,15]
number_of_instances
159 [16,16,17,16,16,16,16,16,15,15]
number_of_instances
159 [17,16,16,15,16,16,15,16,16,16]
number_of_instances
159 [16,15,16,16,16,16,16,16,16,16]
number_of_instances
159 [16,15,16,16,16,16,16,16,16,16]
number_of_instances
159 [16,16,16,16,15,16,16,16,16,16]
precision
0.8834892378003835 [0.9375,0.764706,0.875,0.941176,0.928571,1,0.8125,0.842105,0.866667,0.866667]
precision
0.9076896591970123 [0.833333,0.882353,0.75,0.933333,0.9375,1,0.933333,0.944444,1,0.857143]
precision
0.9097222222222221 [1,0.75,0.833333,0.888889,0.875,0.882353,0.9375,0.9375,1,1]
precision
0.9123715187277605 [1,0.928571,0.933333,1,0.882353,0.789474,0.888889,1,0.882353,0.8125]
precision
0.8739754182595469 [0.941176,0.733333,0.8,0.941176,0.8,0.933333,0.777778,1,0.933333,0.888889]
precision
0.8923392732354998 [1,0.733333,0.9375,0.777778,0.9375,0.9375,0.933333,0.9375,1,0.722222]
precision
0.9003106560951645 [1,0.777778,0.875,1,0.928571,0.933333,0.875,1,0.875,0.736842]
precision
0.9310789305239916 [1,0.928571,0.882353,0.888889,0.9375,1,0.941176,0.9375,0.9375,0.857143]
precision
0.924719153908943 [1,0.928571,0.888889,1,1,0.941176,1,0.761905,0.941176,0.785714]
precision
0.8786752447012978 [0.9375,0.866667,0.8,1,0.846154,0.923077,0.789474,0.941176,0.857143,0.823529]
predictive_accuracy
0.88125
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.9056603773584905
predictive_accuracy
0.8679245283018868
predictive_accuracy
0.8867924528301887
predictive_accuracy
0.8930817610062892
predictive_accuracy
0.9308176100628931
predictive_accuracy
0.9182389937106918
predictive_accuracy
0.8742138364779874
prior_entropy
3.322035652456755
prior_entropy
3.321695353806615
prior_entropy
3.321695353806615
prior_entropy
3.3217896094452106
prior_entropy
3.3215641679424013
prior_entropy
3.3215641679424013
prior_entropy
3.321906615533436
prior_entropy
3.321962444265476
prior_entropy
3.321962444265476
prior_entropy
3.3220193319359352
relative_absolute_error
0.1571036691944456
relative_absolute_error
0.15913995405018894
relative_absolute_error
0.14667792078033692
relative_absolute_error
0.1375771298424323
relative_absolute_error
0.17006330530550712
relative_absolute_error
0.14694186723172784
relative_absolute_error
0.13777635186051168
relative_absolute_error
0.10089553423028942
relative_absolute_error
0.1273734313584182
relative_absolute_error
0.17557684868501147
root_mean_prior_squared_error
0.3000024711829099
root_mean_prior_squared_error
0.2999946732668207
root_mean_prior_squared_error
0.2999946732668207
root_mean_prior_squared_error
0.2999968475489186
root_mean_prior_squared_error
0.2999916161668401
root_mean_prior_squared_error
0.2999916161668401
root_mean_prior_squared_error
0.29999946320574855
root_mean_prior_squared_error
0.30000077102561146
root_mean_prior_squared_error
0.30000077102561146
root_mean_prior_squared_error
0.30000207883977315
root_mean_squared_error
0.14768757320700643
root_mean_squared_error
0.14143391302446381
root_mean_squared_error
0.1433426970025616
root_mean_squared_error
0.1317066671414155
root_mean_squared_error
0.15314010372919398
root_mean_squared_error
0.13625395620404282
root_mean_squared_error
0.13275005520942748
root_mean_squared_error
0.11365491966315737
root_mean_squared_error
0.1274242291760968
root_mean_squared_error
0.15504478561034185
root_relative_squared_error
0.49228785557890326
root_relative_squared_error
0.4714547477937047
root_relative_squared_error
0.47781747402918057
root_relative_squared_error
0.439026837173477
root_relative_squared_error
0.5104812783968776
root_relative_squared_error
0.45419254692859573
root_relative_squared_error
0.4425009758046919
root_relative_squared_error
0.3788487585368723
root_relative_squared_error
0.424746338952637
root_relative_squared_error
0.5168123708007673
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
unweighted_recall
0.88125 [0.9375,0.8125,0.875,1,0.8125,0.9375,0.8125,1,0.8125,0.8125]
unweighted_recall
0.89875 [0.9375,0.9375,0.9375,0.875,0.9375,0.8125,0.875,1,0.875,0.8]
unweighted_recall
0.8986519607843138 [0.9375,0.9375,0.9375,1,0.875,0.882353,0.9375,0.9375,0.875,0.666667]
unweighted_recall
0.9054166666666668 [0.9375,0.8125,0.875,0.8125,0.9375,0.9375,1,0.9375,0.9375,0.866667]
unweighted_recall
0.8657843137254903 [1,0.6875,0.941176,1,1,0.875,0.875,0.8125,0.933333,0.533333]
unweighted_recall
0.8865686274509805 [1,0.6875,0.882353,0.875,0.9375,0.9375,0.875,0.9375,0.866667,0.866667]
unweighted_recall
0.8925000000000001 [1,0.875,0.875,0.866667,0.8125,0.875,0.933333,0.9375,0.875,0.875]
unweighted_recall
0.9304166666666667 [1,0.866667,0.9375,1,0.9375,0.9375,1,0.9375,0.9375,0.75]
unweighted_recall
0.9179166666666667 [1,0.866667,1,0.8125,0.875,1,0.9375,1,1,0.6875]
unweighted_recall
0.8733333333333334 [0.9375,0.8125,1,0.9375,0.733333,0.75,0.9375,1,0.75,0.875]
usercpu_time_millis
1294.4080000015674
usercpu_time_millis
1293.1860000026063
usercpu_time_millis
1320.2240000027814
usercpu_time_millis
1477.5040000022273
usercpu_time_millis
1316.2540000048466
usercpu_time_millis
1327.050000007148
usercpu_time_millis
1329.569999994419
usercpu_time_millis
1332.4540000030538
usercpu_time_millis
1361.0899999985122
usercpu_time_millis
1280.0639999913983
usercpu_time_millis_testing
4.147999999986496
usercpu_time_millis_testing
2.8800000000046566
usercpu_time_millis_testing
2.8359999996609986
usercpu_time_millis_testing
3.506000000925269
usercpu_time_millis_testing
2.846000003046356
usercpu_time_millis_testing
2.824000002874527
usercpu_time_millis_testing
3.7699999957112595
usercpu_time_millis_testing
2.864000001864042
usercpu_time_millis_testing
2.846000003046356
usercpu_time_millis_testing
2.9119999962858856
usercpu_time_millis_training
1290.260000001581
usercpu_time_millis_training
1290.3060000026016
usercpu_time_millis_training
1317.3880000031204
usercpu_time_millis_training
1473.998000001302
usercpu_time_millis_training
1313.4080000018002
usercpu_time_millis_training
1324.2260000042734
usercpu_time_millis_training
1325.7999999987078
usercpu_time_millis_training
1329.5900000011898
usercpu_time_millis_training
1358.2439999954659
usercpu_time_millis_training
1277.1519999951124
wall_clock_time_millis
358.3083152770996
wall_clock_time_millis
349.5831489562988
wall_clock_time_millis
346.1768627166748
wall_clock_time_millis
411.271333694458
wall_clock_time_millis
353.5633087158203
wall_clock_time_millis
351.25088691711426
wall_clock_time_millis
358.03914070129395
wall_clock_time_millis
349.69592094421387
wall_clock_time_millis
357.1798801422119
wall_clock_time_millis
334.98692512512207
wall_clock_time_millis_testing
1.196146011352539
wall_clock_time_millis_testing
0.7290840148925781
wall_clock_time_millis_testing
0.7159709930419922
wall_clock_time_millis_testing
1.2962818145751953
wall_clock_time_millis_testing
0.713348388671875
wall_clock_time_millis_testing
0.7138252258300781
wall_clock_time_millis_testing
0.9632110595703125
wall_clock_time_millis_testing
0.7176399230957031
wall_clock_time_millis_testing
0.7188320159912109
wall_clock_time_millis_testing
0.74005126953125
wall_clock_time_millis_training
357.11216926574707
wall_clock_time_millis_training
348.85406494140625
wall_clock_time_millis_training
345.4608917236328
wall_clock_time_millis_training
409.9750518798828
wall_clock_time_millis_training
352.84996032714844
wall_clock_time_millis_training
350.5370616912842
wall_clock_time_millis_training
357.07592964172363
wall_clock_time_millis_training
348.97828102111816
wall_clock_time_millis_training
356.4610481262207
wall_clock_time_millis_training
334.2468738555908
weighted_recall
0.88125 [0.9375,0.8125,0.875,1,0.8125,0.9375,0.8125,1,0.8125,0.8125]
weighted_recall
0.9 [0.9375,0.9375,0.9375,0.875,0.9375,0.8125,0.875,1,0.875,0.8]
weighted_recall
0.9 [0.9375,0.9375,0.9375,1,0.875,0.882353,0.9375,0.9375,0.875,0.666667]
weighted_recall
0.9056603773584906 [0.9375,0.8125,0.875,0.8125,0.9375,0.9375,1,0.9375,0.9375,0.866667]
weighted_recall
0.8679245283018868 [1,0.6875,0.941176,1,1,0.875,0.875,0.8125,0.933333,0.533333]
weighted_recall
0.8867924528301887 [1,0.6875,0.882353,0.875,0.9375,0.9375,0.875,0.9375,0.866667,0.866667]
weighted_recall
0.8930817610062893 [1,0.875,0.875,0.866667,0.8125,0.875,0.933333,0.9375,0.875,0.875]
weighted_recall
0.9308176100628931 [1,0.866667,0.9375,1,0.9375,0.9375,1,0.9375,0.9375,0.75]
weighted_recall
0.9182389937106918 [1,0.866667,1,0.8125,0.875,1,0.9375,1,1,0.6875]
weighted_recall
0.8742138364779874 [0.9375,0.8125,1,0.9375,0.733333,0.75,0.9375,1,0.75,0.875]