10329978
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)
8185592
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
0.10358044072810794
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.1587816891292324
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
1.4548783448559142
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
15075
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
21581653
description
https://api.openml.org/data/download/21581653/description.xml
-1
21581654
predictions
https://api.openml.org/data/download/21581654/predictions.arff
area_under_roc_curve
0.9333977014159447 [0.944099,0.847056,0.969078,0.960172,0.960876,0.925466,0.944909,0.953067,0.958861,0.867394]
average_cost
0
f_measure
0.8905444643797751 [0.940789,0.811808,0.944444,0.942308,0.925,0.919463,0.668067,0.948052,0.957096,0.844444]
kappa
0.8667698599665461
kb_relative_information_score
0.8743904792177986
mean_absolute_error
0.023979912115505337
mean_prior_absolute_error
0.17999701595290427
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.9284615384566444 [1,0.973451,0.944444,0.960784,0.919255,1,0.501577,0.993197,1,0.991304]
predictive_accuracy
0.8801004394224734
prior_entropy
3.3218194939376526
recall
0.8801004394224733 [0.888199,0.696203,0.944444,0.924528,0.930818,0.850932,1,0.906832,0.917722,0.735484]
relative_absolute_error
0.1332239425668013
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.15485448690788825
root_relative_squared_error
0.5161859284112609
total_cost
0
area_under_roc_curve
0.951388888888889 [0.96875,0.875,0.9375,0.996528,0.934028,0.96875,0.958333,1,1,0.875]
area_under_roc_curve
0.9305555555555556 [0.96875,0.809028,0.996528,0.875,1,0.90625,0.9375,0.970588,0.9375,0.9]
area_under_roc_curve
0.9375 [0.9375,0.875,0.965278,0.996528,0.927083,0.911765,0.954861,0.90625,0.96875,0.933333]
area_under_roc_curve
0.9230769230769231 [0.9375,0.8125,0.961757,0.899257,0.965253,0.96875,0.944056,0.934003,0.9375,0.866667]
area_under_roc_curve
0.9195804195804196 [0.96875,0.8125,0.941176,0.96875,0.98951,0.90625,0.93007,0.84375,0.966667,0.866667]
area_under_roc_curve
0.9510243277848913 [0.96875,0.90625,0.996479,0.96875,0.996503,0.90625,0.958042,0.96875,0.933333,0.9]
area_under_roc_curve
0.9374271561771562 [0.970588,0.871503,0.96875,0.966667,0.934003,0.90625,0.947917,0.96875,0.9375,0.902753]
area_under_roc_curve
0.9475524475524476 [0.9375,0.9,0.996503,0.996503,0.996503,0.9375,0.958042,0.96875,1,0.78125]
area_under_roc_curve
0.9231012043512044 [0.9375,0.796528,0.934003,0.96875,0.965253,1,0.933566,0.96875,0.96875,0.75]
area_under_roc_curve
0.9126116938616938 [0.84375,0.8125,0.993007,0.965253,0.896528,0.84375,0.926573,1,0.9375,0.90625]
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
0.91832984220081 [0.967742,0.857143,0.933333,0.969697,0.903226,0.967742,0.727273,1,1,0.857143]
f_measure
0.8868843924172067 [0.967742,0.740741,0.969697,0.857143,1,0.896552,0.64,0.969697,0.933333,0.888889]
f_measure
0.8951775913031474 [0.933333,0.857143,0.9375,0.969697,0.848485,0.903226,0.711111,0.896552,0.967742,0.928571]
f_measure
0.8706517395500962 [0.933333,0.769231,0.909091,0.83871,0.9375,0.967742,0.666667,0.903226,0.933333,0.846154]
f_measure
0.8694628330449228 [0.967742,0.769231,0.9375,0.967742,0.914286,0.896552,0.615385,0.814815,0.965517,0.846154]
f_measure
0.9186727905870768 [0.967742,0.896552,0.971429,0.967742,0.969697,0.896552,0.727273,0.967742,0.928571,0.888889]
f_measure
0.8979444581182361 [0.969697,0.827586,0.967742,0.965517,0.903226,0.896552,0.666667,0.967742,0.933333,0.866667]
f_measure
0.9080860952802524 [0.933333,0.888889,0.969697,0.969697,0.969697,0.933333,0.727273,0.967742,1,0.72]
f_measure
0.8700782483819253 [0.933333,0.72,0.903226,0.967742,0.9375,1,0.627451,0.967742,0.967742,0.666667]
f_measure
0.8568318933732819 [0.814815,0.769231,0.941176,0.9375,0.857143,0.814815,0.603774,1,0.933333,0.896552]
kappa
0.9027777777777778
kappa
0.8610869942698385
kappa
0.8749945744172923
kappa
0.8462282398452612
kappa
0.8392315470171892
kappa
0.9021280337671475
kappa
0.8742806940478806
kappa
0.8951602268231571
kappa
0.8462214797555722
kappa
0.8252747252747253
kb_relative_information_score
0.9082799820495333
kb_relative_information_score
0.8690257815936415
kb_relative_information_score
0.882348980433913
kb_relative_information_score
0.8550254179144219
kb_relative_information_score
0.8486140955923699
kb_relative_information_score
0.9077367076372878
kb_relative_information_score
0.8814493120981023
kb_relative_information_score
0.9009502956719131
kb_relative_information_score
0.8547865963877928
kb_relative_information_score
0.8354583117287939
mean_absolute_error
0.0175
mean_absolute_error
0.025000000000000005
mean_absolute_error
0.022500000000000006
mean_absolute_error
0.027672955974842775
mean_absolute_error
0.0289308176100629
mean_absolute_error
0.017610062893081764
mean_absolute_error
0.02264150943396227
mean_absolute_error
0.01886792452830189
mean_absolute_error
0.027672955974842775
mean_absolute_error
0.03144654088050316
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
0.944593837535014 [1,1,1,0.941176,0.933333,1,0.571429,1,1,1]
precision
0.9320855614973261 [1,0.909091,0.941176,1,1,1,0.470588,1,1,1]
precision
0.9253930020283976 [1,1,0.9375,0.941176,0.823529,1,0.551724,1,1,1]
precision
0.9114317425083241 [1,1,0.882353,0.866667,0.9375,1,0.5,0.933333,1,1]
precision
0.9282062598845122 [1,1,1,1,0.842105,1,0.444444,1,1,1]
precision
0.9450140643259402 [1,1,0.944444,1,0.941176,1,0.571429,1,1,1]
precision
0.9311931255327482 [1,0.923077,1,1,0.933333,1,0.5,1,1,0.928571]
precision
0.9391152687490091 [1,1,0.941176,0.941176,0.941176,1,0.571429,1,1,1]
precision
0.9229410002994909 [1,0.9,0.933333,1,0.9375,1,0.457143,1,1,1]
precision
0.9181590879704088 [1,1,0.888889,0.9375,0.923077,1,0.432432,1,1,1]
predictive_accuracy
0.9125
predictive_accuracy
0.875
predictive_accuracy
0.8875
predictive_accuracy
0.8616352201257861
predictive_accuracy
0.8553459119496856
predictive_accuracy
0.9119496855345912
predictive_accuracy
0.8867924528301887
predictive_accuracy
0.9056603773584905
predictive_accuracy
0.8616352201257861
predictive_accuracy
0.8427672955974843
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
0.9125 [0.9375,0.75,0.875,1,0.875,0.9375,1,1,1,0.75]
recall
0.875 [0.9375,0.625,1,0.75,1,0.8125,1,0.941176,0.875,0.8]
recall
0.8875 [0.875,0.75,0.9375,1,0.875,0.823529,1,0.8125,0.9375,0.866667]
recall
0.8616352201257862 [0.875,0.625,0.9375,0.8125,0.9375,0.9375,1,0.875,0.875,0.733333]
recall
0.8553459119496856 [0.9375,0.625,0.882353,0.9375,1,0.8125,1,0.6875,0.933333,0.733333]
recall
0.9119496855345912 [0.9375,0.8125,1,0.9375,1,0.8125,1,0.9375,0.866667,0.8]
recall
0.8867924528301887 [0.941176,0.75,0.9375,0.933333,0.875,0.8125,1,0.9375,0.875,0.8125]
recall
0.9056603773584906 [0.875,0.8,1,1,1,0.875,1,0.9375,1,0.5625]
recall
0.8616352201257862 [0.875,0.6,0.875,0.9375,0.9375,1,1,0.9375,0.9375,0.5]
recall
0.8427672955974843 [0.6875,0.625,1,0.9375,0.8,0.6875,1,1,0.875,0.8125]
relative_absolute_error
0.09722222222222243
relative_absolute_error
0.13889249911188548
relative_absolute_error
0.12500324920069691
relative_absolute_error
0.1537415262549865
relative_absolute_error
0.16073258029217802
relative_absolute_error
0.09783722278654311
relative_absolute_error
0.1257874247450817
relative_absolute_error
0.104822396986765
relative_absolute_error
0.15373951558058868
relative_absolute_error
0.17470323337213248
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
0.13228756555322954
root_mean_squared_error
0.15811388300841897
root_mean_squared_error
0.15000000000000002
root_mean_squared_error
0.1663519040313118
root_mean_squared_error
0.1700906158788982
root_mean_squared_error
0.13270291214996663
root_mean_squared_error
0.15047095877265576
root_mean_squared_error
0.13736056394868904
root_mean_squared_error
0.1663519040313118
root_mean_squared_error
0.1773317255329772
root_relative_squared_error
0.4409549195765608
root_relative_squared_error
0.5270556349771904
root_relative_squared_error
0.5000088780462688
root_relative_squared_error
0.5545121736793779
root_relative_squared_error
0.5669845646096404
root_relative_squared_error
0.44235540261286505
root_relative_squared_error
0.5015707600431881
root_relative_squared_error
0.45786736973740105
root_relative_squared_error
0.5545049216460518
root_relative_squared_error
0.5911016557578175
total_cost
0
total_cost
0
total_cost
0
total_cost
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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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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_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_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
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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
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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_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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wall_clock_time_millis_training
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