10311326
8323
Heinrich Peters
9985
Supervised Classification
15083
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1)
8170696
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
memory
null
15083
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": "fkceigenpro", "step_name": "fkceigenpro"}}]
15083
verbose
false
15083
bandwidth
5
15084
batch_size
"auto"
15084
coef0
1
15084
degree
4
15084
gamma
0.001
15084
kernel
"laplace"
15084
kernel_params
"null"
15084
n_components
3000
15084
n_epoch
2
15084
random_state
27829
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
1475
first-order-theorem-proving
https://www.openml.org/data/download/1587932/phpPbCMyg
-1
21544259
description
https://api.openml.org/data/download/21544259/description.xml
-1
21544260
predictions
https://api.openml.org/data/download/21544260/predictions.arff
area_under_roc_curve
0.7297088155698989 [0.685133,0.633092,0.699187,0.652832,0.659887,0.811671]
average_cost
0
f_measure
0.5834132112467451 [0.482126,0.363405,0.486486,0.393912,0.408127,0.78546]
kappa
0.44778094522868717
kb_relative_information_score
0.4594943972019934
mean_absolute_error
0.13359485670698862
mean_prior_absolute_error
0.2507645736611627
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5785750821913552 [0.481244,0.475083,0.519757,0.44,0.454724,0.720733]
predictive_accuracy
0.5992154298790454
prior_entropy
2.3000072984859514
recall
0.5992154298790454 [0.483012,0.294239,0.457219,0.356564,0.370192,0.86296]
relative_absolute_error
0.5327501199890547
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.3655063018704173
root_relative_squared_error
1.0322851868776661
total_cost
0
area_under_roc_curve
0.724380064170164 [0.667345,0.549202,0.661559,0.649238,0.656128,0.834665]
area_under_roc_curve
0.7446645994516584 [0.732331,0.623005,0.74432,0.679795,0.668358,0.807563]
area_under_roc_curve
0.7411245492409982 [0.66832,0.642839,0.730056,0.635953,0.663154,0.838936]
area_under_roc_curve
0.7131041237812912 [0.641965,0.630859,0.721676,0.595513,0.659912,0.798319]
area_under_roc_curve
0.7290449567437053 [0.676674,0.67124,0.647412,0.721026,0.696716,0.796359]
area_under_roc_curve
0.7350156590893097 [0.69204,0.637529,0.718883,0.644692,0.66912,0.814846]
area_under_roc_curve
0.7242344153283906 [0.714821,0.638852,0.673929,0.652874,0.624252,0.80112]
area_under_roc_curve
0.7292261666416625 [0.683249,0.610016,0.723538,0.657642,0.660938,0.806882]
area_under_roc_curve
0.7206987602101799 [0.676779,0.663762,0.697749,0.628465,0.603531,0.807152]
area_under_roc_curve
0.7355823959569333 [0.697695,0.662874,0.671976,0.663085,0.696038,0.810739]
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
0.5625389824674122 [0.449339,0.173913,0.414286,0.382609,0.4,0.810036]
f_measure
0.6087223312734554 [0.550218,0.346667,0.57554,0.45045,0.413223,0.779599]
f_measure
0.5966328479729561 [0.453704,0.363636,0.550725,0.38,0.410256,0.814159]
f_measure
0.5539769294436675 [0.415842,0.337079,0.517007,0.285714,0.390244,0.770609]
f_measure
0.587425339485382 [0.471698,0.444444,0.394161,0.521739,0.459016,0.768402]
f_measure
0.5934009472050418 [0.493151,0.405797,0.506667,0.366667,0.446602,0.788632]
f_measure
0.5747569995474803 [0.514523,0.375,0.451128,0.396396,0.349515,0.773381]
f_measure
0.5852156914756812 [0.483412,0.32,0.524138,0.407407,0.410714,0.78185]
f_measure
0.5687780826648677 [0.466368,0.425,0.485714,0.345455,0.301887,0.781528]
f_measure
0.5970703918568843 [0.514851,0.419753,0.437956,0.393443,0.490909,0.785965]
kappa
0.42607275776342696
kappa
0.48125360788583377
kappa
0.4678966680911892
kappa
0.4111380216145814
kappa
0.4509361622656848
kappa
0.4608048777790476
kappa
0.4374007177737248
kappa
0.4510254537906391
kappa
0.4278412140279449
kappa
0.46342340072330584
kb_relative_information_score
0.4299714491012636
kb_relative_information_score
0.4922648760179708
kb_relative_information_score
0.47386548441635623
kb_relative_information_score
0.4260316189933018
kb_relative_information_score
0.46988166408053283
kb_relative_information_score
0.4718716267942882
kb_relative_information_score
0.44963599975126184
kb_relative_information_score
0.46373713454330845
kb_relative_information_score
0.4408462350133838
kb_relative_information_score
0.4767909159501753
mean_absolute_error
0.13888888888888867
mean_absolute_error
0.12636165577342046
mean_absolute_error
0.1285403050108932
mean_absolute_error
0.14324618736383415
mean_absolute_error
0.13344226579520685
mean_absolute_error
0.13017429193899774
mean_absolute_error
0.13616557734204776
mean_absolute_error
0.13180827886710228
mean_absolute_error
0.13802509547190378
mean_absolute_error
0.12929623567921433
mean_prior_absolute_error
0.25067495791407446
mean_prior_absolute_error
0.25083558171073006
mean_prior_absolute_error
0.25088921191526126
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25067558048692967
mean_prior_absolute_error
0.25058368192114683
mean_prior_absolute_error
0.25059472840439195
number_of_instances
612 [109,48,74,62,63,256]
number_of_instances
612 [109,48,75,62,63,255]
number_of_instances
612 [108,49,75,62,63,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,61,62,256]
number_of_instances
611 [109,48,75,61,62,256]
number_of_instances
611 [109,48,74,61,63,256]
precision
0.5531323518518765 [0.432203,0.285714,0.439394,0.415094,0.442308,0.748344]
precision
0.6072078128824965 [0.525,0.481481,0.625,0.510204,0.431034,0.727891]
precision
0.5923761564179021 [0.453704,0.410256,0.603175,0.5,0.444444,0.741935]
precision
0.5459903324249138 [0.451613,0.375,0.527778,0.348837,0.393443,0.709571]
precision
0.5847376615624009 [0.485437,0.5625,0.435484,0.566038,0.466667,0.708609]
precision
0.6011528127319945 [0.490909,0.7,0.506667,0.37931,0.560976,0.720779]
precision
0.5733641414974788 [0.469697,0.483871,0.517241,0.44898,0.439024,0.714286]
precision
0.5813705243017318 [0.5,0.461538,0.542857,0.468085,0.46,0.706625]
precision
0.5631773354762181 [0.45614,0.53125,0.523077,0.387755,0.363636,0.716612]
precision
0.5952983595873419 [0.55914,0.515152,0.47619,0.393443,0.574468,0.713376]
predictive_accuracy
0.5833333333333334
predictive_accuracy
0.6209150326797386
predictive_accuracy
0.6143790849673203
predictive_accuracy
0.5702614379084967
predictive_accuracy
0.5996732026143791
predictive_accuracy
0.6094771241830066
predictive_accuracy
0.5915032679738562
predictive_accuracy
0.6045751633986928
predictive_accuracy
0.585924713584288
predictive_accuracy
0.6121112929623568
prior_entropy
2.2982053906988225
prior_entropy
2.3010980143383097
prior_entropy
2.3029972536480843
prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.2983403180467192
prior_entropy
2.2961240491639523
prior_entropy
2.2965513970017746
recall
0.5833333333333334 [0.46789,0.125,0.391892,0.354839,0.365079,0.882812]
recall
0.6209150326797386 [0.577982,0.270833,0.533333,0.403226,0.396825,0.839216]
recall
0.6143790849673203 [0.453704,0.326531,0.506667,0.306452,0.380952,0.901961]
recall
0.5702614379084967 [0.385321,0.306122,0.506667,0.241935,0.387097,0.843137]
recall
0.5996732026143791 [0.458716,0.367347,0.36,0.483871,0.451613,0.839216]
recall
0.6094771241830066 [0.495413,0.285714,0.506667,0.354839,0.370968,0.870588]
recall
0.5915032679738562 [0.568807,0.306122,0.4,0.354839,0.290323,0.843137]
recall
0.6045751633986928 [0.46789,0.244898,0.506667,0.360656,0.370968,0.875]
recall
0.5859247135842881 [0.477064,0.354167,0.453333,0.311475,0.258065,0.859375]
recall
0.6121112929623568 [0.477064,0.354167,0.405405,0.393443,0.428571,0.875]
relative_absolute_error
0.5540596876713013
relative_absolute_error
0.5037628828877393
relative_absolute_error
0.5123389085948747
relative_absolute_error
0.5710480848971212
relative_absolute_error
0.5319649460068244
relative_absolute_error
0.5189372330433922
relative_absolute_error
0.5428213734763513
relative_absolute_error
0.5258122016156049
relative_absolute_error
0.5508143803048486
relative_absolute_error
0.5159575243361276
root_mean_prior_squared_error
0.35394835494159665
root_mean_prior_squared_error
0.3541751851309153
root_mean_prior_squared_error
0.3542508884492025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3539492344090008
root_mean_prior_squared_error
0.3538193917423618
root_mean_prior_squared_error
0.35383500173976573
root_mean_squared_error
0.37267799624996467
root_mean_squared_error
0.355473846820579
root_mean_squared_error
0.35852518044189474
root_mean_squared_error
0.37847878059916934
root_mean_squared_error
0.3652975031330037
root_mean_squared_error
0.3607967460205229
root_mean_squared_error
0.36900620230837283
root_mean_squared_error
0.3630540990914471
root_mean_squared_error
0.3715172882544011
root_mean_squared_error
0.3595778576041833
root_relative_squared_error
1.0529163112269826
root_relative_squared_error
1.0036667212842245
root_relative_squared_error
1.0120657198953085
root_relative_squared_error
1.0685679908552037
root_relative_squared_error
1.031352981980393
root_relative_squared_error
1.0186458891880386
root_relative_squared_error
1.0418238390790042
root_relative_squared_error
1.0257236456455372
root_relative_squared_error
1.0500195775728602
root_relative_squared_error
1.0162303215797777
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
59051.690139982384
usercpu_time_millis
46044.08536001574
usercpu_time_millis
44558.92141797813
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
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usercpu_time_millis
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usercpu_time_millis_testing
212.45782199548557
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
228.54440598166548
usercpu_time_millis_testing
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usercpu_time_millis_testing
236.04708700440824
usercpu_time_millis_testing
181.36349899577908
usercpu_time_millis_testing
146.77242800826207
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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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_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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