10329853
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)
8185468
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
17.978489384973518
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.023363824959116333
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
10713
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
21581403
description
https://api.openml.org/data/download/21581403/description.xml
-1
21581404
predictions
https://api.openml.org/data/download/21581404/predictions.arff
area_under_roc_curve
0.8947623177246463 [0.869565,0.889752,0.885802,0.898325,0.910555,0.969569,0.892036,0.903727,0.923702,0.801835]
average_cost
0
f_measure
0.8372963309229771 [0.85,0.525773,0.87108,0.878893,0.891156,0.927273,0.87108,0.893471,0.914676,0.743083]
kappa
0.7893763063120649
kb_relative_information_score
0.80159330292023
mean_absolute_error
0.0379158819836788
mean_prior_absolute_error
0.17999701595290427
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.9147317903516279 [1,0.360849,1,0.976923,0.97037,0.905325,0.976562,1,0.992593,0.959184]
predictive_accuracy
0.810420590081607
prior_entropy
3.3218194939376526
recall
0.810420590081607 [0.73913,0.968354,0.771605,0.798742,0.823899,0.950311,0.786164,0.807453,0.848101,0.606452]
relative_absolute_error
0.21064728091714247
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.1947200092021331
root_relative_squared_error
0.6490721110976881
total_cost
0
area_under_roc_curve
0.8958333333333333 [0.84375,0.878472,0.8125,0.965278,0.90625,0.989583,0.84375,1,0.90625,0.8125]
area_under_roc_curve
0.8923850574712644 [0.90625,0.895833,0.875,0.8125,0.96875,0.9375,0.875,0.882353,0.90625,0.863218]
area_under_roc_curve
0.892360776196983 [0.84375,0.847222,0.84375,0.934028,0.836806,0.93768,0.9375,0.90625,0.9375,0.896552]
area_under_roc_curve
0.9125874125874127 [0.90625,0.93007,0.90625,0.871503,0.9375,0.95826,0.902753,0.90625,0.90625,0.9]
area_under_roc_curve
0.87767094017094 [0.90625,0.895105,0.882353,0.90625,0.90625,0.961757,0.840253,0.78125,0.929861,0.763194]
area_under_roc_curve
0.8881118881118881 [0.84375,0.874344,0.852941,0.90625,0.934003,0.98951,0.840253,0.84375,0.966667,0.833333]
area_under_roc_curve
0.8951048951048951 [0.852941,0.902098,0.90625,0.866667,0.90625,0.996503,0.933333,0.96875,0.90625,0.715253]
area_under_roc_curve
0.9027292152292151 [0.90625,0.876389,0.96875,0.9375,0.902753,0.965253,0.9375,0.90625,0.96875,0.65625]
area_under_roc_curve
0.9062257187257188 [0.84375,0.909722,0.875,0.90625,0.9375,0.996503,0.9375,0.9375,0.96875,0.75]
area_under_roc_curve
0.8846153846153847 [0.84375,0.888112,0.9375,0.875,0.866667,0.965253,0.875,0.90625,0.84375,0.84375]
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
0.8339296120126429 [0.814815,0.526316,0.769231,0.9375,0.896552,0.914286,0.814815,1,0.896552,0.769231]
f_measure
0.8378546455089836 [0.896552,0.516129,0.857143,0.769231,0.967742,0.933333,0.857143,0.866667,0.896552,0.814815]
f_measure
0.8324175036021533 [0.814815,0.5,0.814815,0.903226,0.758621,0.909091,0.933333,0.896552,0.933333,0.857143]
f_measure
0.8598605276319693 [0.896552,0.615385,0.896552,0.827586,0.933333,0.882353,0.866667,0.896552,0.896552,0.888889]
f_measure
0.8057298087234915 [0.896552,0.516129,0.866667,0.896552,0.896552,0.909091,0.785714,0.72,0.896552,0.666667]
f_measure
0.8232584954113418 [0.814815,0.517241,0.827586,0.896552,0.903226,0.914286,0.785714,0.814815,0.965517,0.8]
f_measure
0.8338994751339706 [0.827586,0.533333,0.896552,0.846154,0.896552,0.969697,0.928571,0.967742,0.896552,0.583333]
f_measure
0.8405417716769953 [0.896552,0.509091,0.967742,0.933333,0.866667,0.9375,0.933333,0.896552,0.967742,0.47619]
f_measure
0.8528148036025411 [0.814815,0.535714,0.857143,0.896552,0.933333,0.969697,0.933333,0.933333,0.967742,0.666667]
f_measure
0.8271078688775501 [0.814815,0.5,0.933333,0.857143,0.846154,0.9375,0.857143,0.896552,0.814815,0.814815]
kappa
0.7916666666666666
kappa
0.7847128781631149
kappa
0.7846941876112341
kappa
0.8252670447052618
kappa
0.7553523541565922
kappa
0.7763418172227351
kappa
0.7903204536463142
kappa
0.8045396672081486
kappa
0.8115286680129951
kappa
0.7693423597678918
kb_relative_information_score
0.803781834945794
kb_relative_information_score
0.7973886038812459
kb_relative_information_score
0.7975094101729167
kb_relative_information_score
0.8355678388438993
kb_relative_information_score
0.7696675510777865
kb_relative_information_score
0.7895527463048508
kb_relative_information_score
0.8022655193372984
kb_relative_information_score
0.8152640678638732
kb_relative_information_score
0.822180811615302
kb_relative_information_score
0.7827891209107319
mean_absolute_error
0.03750000000000002
mean_absolute_error
0.03875000000000002
mean_absolute_error
0.03875000000000002
mean_absolute_error
0.03144654088050316
mean_absolute_error
0.04402515723270443
mean_absolute_error
0.040251572327044044
mean_absolute_error
0.03773584905660379
mean_absolute_error
0.035220125786163535
mean_absolute_error
0.03396226415094341
mean_absolute_error
0.04150943396226417
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
0.914545892169448 [1,0.365854,1,0.9375,1,0.842105,1,1,1,1]
precision
0.9269701086956521 [1,0.347826,1,1,1,1,1,1,1,0.916667]
precision
0.8990965544871793 [1,0.35,1,0.933333,0.846154,0.9375,1,1,1,0.923077]
precision
0.9123950822064029 [1,0.444444,1,0.923077,1,0.833333,0.928571,1,1,1]
precision
0.8969272696773543 [1,0.347826,1,1,1,0.882353,0.916667,1,0.928571,0.888889]
precision
0.9043268548730318 [1,0.357143,1,1,0.933333,0.842105,0.916667,1,1,1]
precision
0.9174654424376955 [1,0.363636,1,1,1,0.941176,1,1,1,0.875]
precision
0.9252021563342319 [1,0.35,1,1,0.928571,0.9375,1,1,1,1]
precision
0.9342555245752237 [1,0.365854,1,1,1,0.941176,1,1,1,1]
precision
0.9266247379454925 [1,0.333333,1,1,1,0.9375,1,1,1,1]
predictive_accuracy
0.8125
predictive_accuracy
0.80625
predictive_accuracy
0.80625
predictive_accuracy
0.8427672955974843
predictive_accuracy
0.779874213836478
predictive_accuracy
0.7987421383647799
predictive_accuracy
0.8113207547169812
predictive_accuracy
0.8238993710691824
predictive_accuracy
0.8301886792452831
predictive_accuracy
0.7924528301886792
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
0.8125 [0.6875,0.9375,0.625,0.9375,0.8125,1,0.6875,1,0.8125,0.625]
recall
0.80625 [0.8125,1,0.75,0.625,0.9375,0.875,0.75,0.764706,0.8125,0.733333]
recall
0.80625 [0.6875,0.875,0.6875,0.875,0.6875,0.882353,0.875,0.8125,0.875,0.8]
recall
0.8427672955974843 [0.8125,1,0.8125,0.75,0.875,0.9375,0.8125,0.8125,0.8125,0.8]
recall
0.779874213836478 [0.8125,1,0.764706,0.8125,0.8125,0.9375,0.6875,0.5625,0.866667,0.533333]
recall
0.7987421383647799 [0.6875,0.9375,0.705882,0.8125,0.875,1,0.6875,0.6875,0.933333,0.666667]
recall
0.8113207547169812 [0.705882,1,0.8125,0.733333,0.8125,1,0.866667,0.9375,0.8125,0.4375]
recall
0.8238993710691824 [0.8125,0.933333,0.9375,0.875,0.8125,0.9375,0.875,0.8125,0.9375,0.3125]
recall
0.8301886792452831 [0.6875,1,0.75,0.8125,0.875,1,0.875,0.875,0.9375,0.5]
recall
0.7924528301886793 [0.6875,1,0.875,0.75,0.733333,0.9375,0.75,0.8125,0.6875,0.6875]
relative_absolute_error
0.20833333333333384
relative_absolute_error
0.21528337362342254
relative_absolute_error
0.21528337362342254
relative_absolute_error
0.17470627983521198
relative_absolute_error
0.2445930569663579
relative_absolute_error
0.22362793779781293
relative_absolute_error
0.20964570790846956
relative_absolute_error
0.19566847437529472
relative_absolute_error
0.18868031457617707
relative_absolute_error
0.23060826805121487
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
0.1936491673103709
root_mean_squared_error
0.19685019685029534
root_mean_squared_error
0.19685019685029534
root_mean_squared_error
0.1773317255329772
root_mean_squared_error
0.2098217272655633
root_mean_squared_error
0.2006279450302077
root_mean_squared_error
0.19425717247145288
root_mean_squared_error
0.1876702581288882
root_mean_squared_error
0.1842885350501854
root_mean_squared_error
0.20373864130857497
root_relative_squared_error
0.6454919072726706
root_relative_squared_error
0.6561789738020221
root_relative_squared_error
0.6561789738020221
root_relative_squared_error
0.5911119632817503
root_relative_squared_error
0.6994253037687264
root_relative_squared_error
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root_relative_squared_error
0.647525066863955
root_relative_squared_error
0.6255659193384758
root_relative_squared_error
0.6142935380471153
root_relative_squared_error
0.6791240983946278
total_cost
0
total_cost
0
total_cost
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total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
108.84761810302734
wall_clock_time_millis_testing
123.29363822937012
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
105.03482818603516
wall_clock_time_millis_testing
107.87320137023926
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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