10329923
8323
Heinrich Peters
9964
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8185538
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
15.406711505563193
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.8097233063524558
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.007206235544735408
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
4248
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.
1501
semeion
https://www.openml.org/data/download/1592293/phptd5jYj
-1
21581543
description
https://api.openml.org/data/download/21581543/description.xml
-1
21581544
predictions
https://api.openml.org/data/download/21581544/predictions.arff
area_under_roc_curve
0.9769888496560422 [0.981017,0.954331,0.983461,0.980086,0.971705,0.975817,0.988474,0.984123,0.973638,0.97682]
average_cost
0
f_measure
0.9586768180072305 [0.977918,0.917722,0.951807,0.971429,0.946708,0.956522,0.971963,0.981132,0.96463,0.946032]
kappa
0.9539646781428769
kb_relative_information_score
0.9566448940730342
mean_absolute_error
0.008286252354048954
mean_prior_absolute_error
0.17999701595290427
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.9591102049472868 [0.99359,0.917722,0.929412,0.980769,0.94375,0.956522,0.962963,0.993631,0.980392,0.93125]
predictive_accuracy
0.9585687382297552
prior_entropy
3.3218194939376526
recall
0.9585687382297552 [0.962733,0.917722,0.975309,0.962264,0.949686,0.956522,0.981132,0.968944,0.949367,0.96129]
relative_absolute_error
0.046035498478580496
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.09102885451354946
root_relative_squared_error
0.3034320459002249
total_cost
0
area_under_roc_curve
0.9756944444444444 [0.96875,0.965278,0.965278,0.996528,0.930556,1,0.965278,1,0.96875,0.996528]
area_under_roc_curve
0.9792145593869732 [0.96875,0.989583,0.996528,0.96875,1,0.9375,0.96875,1,1,0.95977]
area_under_roc_curve
0.9721736596736597 [1,0.965278,0.961806,0.996528,0.930556,0.963595,1,0.9375,0.96875,1]
area_under_roc_curve
0.9720765345765348 [0.96875,0.993007,0.993007,0.9375,0.96875,0.965253,0.996503,0.96875,0.96875,0.959722]
area_under_roc_curve
0.9825174825174826 [0.996503,0.934003,0.970588,1,0.996503,0.996503,0.996503,0.9375,1,1]
area_under_roc_curve
0.9894858662464295 [1,0.96875,0.996479,0.96875,0.996503,0.996503,1,1,0.966667,1]
area_under_roc_curve
0.9685557498057499 [0.970588,0.961757,0.96875,0.966667,0.965253,0.993007,0.996528,1,0.934003,0.930507]
area_under_roc_curve
0.9860625485625485 [1,0.959722,0.996503,1,0.996503,0.96875,1,1,1,0.9375]
area_under_roc_curve
0.9755244755244756 [0.96875,0.9,0.996503,0.96875,0.965253,1,0.961757,0.996503,1,0.993007]
area_under_roc_curve
0.9685314685314685 [0.96875,0.902753,0.98951,0.996503,0.966667,0.9375,1,1,0.930507,0.993007]
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
0.9562377810361682 [0.967742,0.9375,0.9375,0.969697,0.875,1,0.9375,1,0.967742,0.969697]
f_measure
0.9629816017316017 [0.967742,0.914286,0.969697,0.967742,1,0.933333,0.967742,1,1,0.903226]
f_measure
0.9501291719033655 [1,0.9375,0.909091,0.969697,0.875,0.914286,1,0.933333,0.967742,1]
f_measure
0.9500000180820776 [0.967742,0.941176,0.941176,0.933333,0.967742,0.9375,0.969697,0.967742,0.967742,0.903226]
f_measure
0.9681157281887653 [0.969697,0.903226,0.969697,1,0.969697,0.969697,0.969697,0.933333,1,1]
f_measure
0.981101190570832 [1,0.967742,0.971429,0.967742,0.969697,0.969697,1,1,0.965517,1]
f_measure
0.9435440131045929 [0.969697,0.909091,0.967742,0.965517,0.9375,0.941176,0.967742,1,0.903226,0.875]
f_measure
0.9748169460890094 [1,0.903226,0.969697,1,0.969697,0.967742,1,1,1,0.933333]
f_measure
0.9555701658741292 [0.967742,0.888889,0.969697,0.967742,0.9375,1,0.909091,0.969697,1,0.941176]
f_measure
0.9432023651670838 [0.967742,0.866667,0.914286,0.969697,0.965517,0.933333,1,1,0.875,0.941176]
kappa
0.951388888888889
kappa
0.9583315248057643
kappa
0.9444372097061249
kappa
0.9440952841383554
kappa
0.9650564810338007
kappa
0.9790311236152629
kappa
0.9371016658608413
kappa
0.9720476420691777
kappa
0.9510747725174733
kappa
0.9371016658608413
kb_relative_information_score
0.954262401864791
kb_relative_information_score
0.9607828803357908
kb_relative_information_score
0.9477766660482831
kb_relative_information_score
0.9473582898396974
kb_relative_information_score
0.967163078712121
kb_relative_information_score
0.9802224484983492
kb_relative_information_score
0.9406711731675501
kb_relative_information_score
0.9735654393323281
kb_relative_information_score
0.953913442432643
kb_relative_information_score
0.9407811326477442
mean_absolute_error
0.008749999999999999
mean_absolute_error
0.0075
mean_absolute_error
0.009999999999999998
mean_absolute_error
0.010062893081761006
mean_absolute_error
0.006289308176100629
mean_absolute_error
0.003773584905660378
mean_absolute_error
0.011320754716981131
mean_absolute_error
0.005031446540880504
mean_absolute_error
0.00880503144654088
mean_absolute_error
0.011320754716981131
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
0.9569852941176471 [1,0.9375,0.9375,0.941176,0.875,1,0.9375,1,1,0.941176]
precision
0.966609423374613 [1,0.842105,0.941176,1,1,1,1,1,1,0.875]
precision
0.951797385620915 [1,0.9375,0.882353,0.941176,0.875,0.888889,1,1,1,1]
precision
0.9536369054959511 [1,0.888889,0.888889,1,1,0.9375,0.941176,1,1,0.875]
precision
0.969614009125663 [0.941176,0.933333,1,1,0.941176,0.941176,0.941176,1,1,1]
precision
0.9822214000904345 [1,1,0.944444,1,0.941176,0.941176,1,1,1,1]
precision
0.9455075636124471 [1,0.882353,1,1,0.9375,0.888889,0.9375,1,0.933333,0.875]
precision
0.9763688494265631 [1,0.875,0.941176,1,0.941176,1,1,1,1,1]
precision
0.9588523040243352 [1,1,0.941176,1,0.9375,1,0.882353,0.941176,1,0.888889]
precision
0.9472444831402717 [1,0.928571,0.842105,0.941176,1,1,1,1,0.875,0.888889]
predictive_accuracy
0.95625
predictive_accuracy
0.9625
predictive_accuracy
0.95
predictive_accuracy
0.9496855345911949
predictive_accuracy
0.9685534591194969
predictive_accuracy
0.9811320754716981
predictive_accuracy
0.9433962264150944
predictive_accuracy
0.9748427672955975
predictive_accuracy
0.9559748427672956
predictive_accuracy
0.9433962264150944
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
recall
0.95625 [0.9375,0.9375,0.9375,1,0.875,1,0.9375,1,0.9375,1]
recall
0.9625 [0.9375,1,1,0.9375,1,0.875,0.9375,1,1,0.933333]
recall
0.95 [1,0.9375,0.9375,1,0.875,0.941176,1,0.875,0.9375,1]
recall
0.949685534591195 [0.9375,1,1,0.875,0.9375,0.9375,1,0.9375,0.9375,0.933333]
recall
0.9685534591194969 [1,0.875,0.941176,1,1,1,1,0.875,1,1]
recall
0.9811320754716981 [1,0.9375,1,0.9375,1,1,1,1,0.933333,1]
recall
0.9433962264150944 [0.941176,0.9375,0.9375,0.933333,0.9375,1,1,1,0.875,0.875]
recall
0.9748427672955975 [1,0.933333,1,1,1,0.9375,1,1,1,0.875]
recall
0.9559748427672956 [0.9375,0.8,1,0.9375,0.9375,1,0.9375,1,1,1]
recall
0.9433962264150944 [0.9375,0.8125,1,1,0.933333,0.875,1,1,0.875,1]
relative_absolute_error
0.0486111111111112
relative_absolute_error
0.04166774973356563
relative_absolute_error
0.05555699964475416
relative_absolute_error
0.05590600954726781
relative_absolute_error
0.03494186528090826
relative_absolute_error
0.02096511916854495
relative_absolute_error
0.06289371237254084
relative_absolute_error
0.02795263919647067
relative_absolute_error
0.04891711859382366
relative_absolute_error
0.06289316401396766
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
0.09354143466934853
root_mean_squared_error
0.08660254037844387
root_mean_squared_error
0.09999999999999999
root_mean_squared_error
0.10031397251510382
root_mean_squared_error
0.07930515857181442
root_mean_squared_error
0.061429511683395124
root_mean_squared_error
0.1063990353197863
root_mean_squared_error
0.07093269021319087
root_mean_squared_error
0.09383512906444409
root_mean_squared_error
0.1063990353197863
root_relative_squared_error
0.3118022138301548
root_relative_squared_error
0.28868026033721605
root_relative_squared_error
0.3333392520308458
root_relative_squared_error
0.3343834221416152
root_relative_squared_error
0.2643579163482653
root_relative_squared_error
0.20477076149098494
root_relative_squared_error
0.354664085671429
root_relative_squared_error
0.23644169303529974
root_relative_squared_error
0.31278295966923786
root_relative_squared_error
0.3546609934546904
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
1794.6456630015746
usercpu_time_millis
1801.997117989231
usercpu_time_millis
1800.168091984233
usercpu_time_millis
1793.3389759855345
usercpu_time_millis
1809.9726220098091
usercpu_time_millis
1781.0839140001917
usercpu_time_millis
1763.5855969856493
usercpu_time_millis
1761.2254120176658
usercpu_time_millis
1768.521268008044
usercpu_time_millis
1794.1024159954395
usercpu_time_millis_testing
97.30228599801194
usercpu_time_millis_testing
97.17140199791174
usercpu_time_millis_testing
97.38025399565231
usercpu_time_millis_testing
95.43135999410879
usercpu_time_millis_testing
97.96057800122071
usercpu_time_millis_testing
98.86542599997483
usercpu_time_millis_testing
98.27819999190979
usercpu_time_millis_testing
95.8287170069525
usercpu_time_millis_testing
95.900819011149
usercpu_time_millis_testing
95.3957039891975
usercpu_time_millis_training
1697.3433770035626
usercpu_time_millis_training
1704.8257159913192
usercpu_time_millis_training
1702.7878379885806
usercpu_time_millis_training
1697.9076159914257
usercpu_time_millis_training
1712.0120440085884
usercpu_time_millis_training
1682.218488000217
usercpu_time_millis_training
1665.3073969937395
usercpu_time_millis_training
1665.3966950107133
usercpu_time_millis_training
1672.620448996895
usercpu_time_millis_training
1698.706712006242
wall_clock_time_millis
1810.7786178588867
wall_clock_time_millis
1802.1621704101562
wall_clock_time_millis
1800.3077507019043
wall_clock_time_millis
1793.4916019439697
wall_clock_time_millis
1810.1158142089844
wall_clock_time_millis
1781.2371253967285
wall_clock_time_millis
1763.723373413086
wall_clock_time_millis
1777.3942947387695
wall_clock_time_millis
1768.6610221862793
wall_clock_time_millis
1794.2569255828857
wall_clock_time_millis_testing
97.3198413848877
wall_clock_time_millis_testing
97.19133377075195
wall_clock_time_millis_testing
97.39875793457031
wall_clock_time_millis_testing
95.45040130615234
wall_clock_time_millis_testing
97.98002243041992
wall_clock_time_millis_testing
98.88386726379395
wall_clock_time_millis_testing
98.2975959777832
wall_clock_time_millis_testing
95.84736824035645
wall_clock_time_millis_testing
95.91984748840332
wall_clock_time_millis_testing
95.4141616821289
wall_clock_time_millis_training
1713.458776473999
wall_clock_time_millis_training
1704.9708366394043
wall_clock_time_millis_training
1702.908992767334
wall_clock_time_millis_training
1698.0412006378174
wall_clock_time_millis_training
1712.1357917785645
wall_clock_time_millis_training
1682.3532581329346
wall_clock_time_millis_training
1665.4257774353027
wall_clock_time_millis_training
1681.546926498413
wall_clock_time_millis_training
1672.741174697876
wall_clock_time_millis_training
1698.8427639007568