10516026
8323
Heinrich Peters
32
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275618
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
0.001
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
10000
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"lbfgs"
13106
tol
0.0001
13106
verbose
0
13106
warm_start
false
13106
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
18601
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"}}]
18601
verbose
false
18601
openml-python
Sklearn_0.21.2.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
21957006
description
https://api.openml.org/data/download/21957006/description.xml
-1
21957007
predictions
https://api.openml.org/data/download/21957007/predictions.arff
area_under_roc_curve
0.9721387199944789 [0.976907,0.949772,0.989087,0.996249,0.996194,0.888503,0.99898,0.972427,0.966316,0.984912]
average_cost
0
f_measure
0.838430557434868 [0.900132,0.708814,0.860587,0.875209,0.942035,0.650602,0.930912,0.867249,0.820774,0.820583]
kappa
0.8262051027885138
kb_relative_information_score
0.575126540046183
mean_absolute_error
0.11883288610048122
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.8436135371179039 [0.895013,0.671916,0.936189,0.990521,0.958916,0.537441,0.995265,0.82662,0.763981,0.854028]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.8453428158133531 [0.90531,0.75,0.796283,0.783946,0.925738,0.824128,0.874376,0.912077,0.886689,0.789658]
predictive_accuracy
0.8436135371179039
prior_entropy
3.320771739846944
relative_absolute_error
0.6603001731752779
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.21245381889060677
root_relative_squared_error
0.7082424573367616
total_cost
0
unweighted_recall
0.8429890709433087 [0.895013,0.671916,0.936189,0.990521,0.958916,0.537441,0.995265,0.82662,0.763981,0.854028]
area_under_roc_curve
0.9727096185562385 [0.983183,0.962306,0.990201,0.997588,0.996717,0.87619,0.99981,0.975179,0.963394,0.978266]
area_under_roc_curve
0.9683729917738717 [0.95247,0.938445,0.984215,0.99642,0.997037,0.885408,0.999573,0.960517,0.978142,0.991676]
area_under_roc_curve
0.9732832570533557 [0.978208,0.957449,0.992294,0.994472,0.996251,0.894539,0.999885,0.969928,0.970988,0.97622]
area_under_roc_curve
0.9780827387123401 [0.983445,0.96125,0.989224,0.995784,0.994715,0.932927,0.992872,0.974125,0.960036,0.995861]
area_under_roc_curve
0.970514914345563 [0.975278,0.9576,0.991905,0.99753,0.995758,0.878147,0.999751,0.979339,0.955169,0.971122]
area_under_roc_curve
0.9716966505573134 [0.97331,0.944795,0.990151,0.99733,0.997004,0.888978,0.999578,0.958794,0.979007,0.9881]
area_under_roc_curve
0.9711160361995526 [0.977371,0.93849,0.989607,0.998641,0.998445,0.886517,0.999677,0.969757,0.966676,0.98444]
area_under_roc_curve
0.9730320797990885 [0.991326,0.939238,0.989011,0.998584,0.993935,0.867079,0.99999,0.983614,0.979945,0.985302]
area_under_roc_curve
0.9697500735727256 [0.979339,0.959916,0.987541,0.988685,0.9987,0.858082,0.999202,0.973782,0.960839,0.986547]
area_under_roc_curve
0.9725155539653355 [0.97624,0.937163,0.986417,0.997279,0.994007,0.915138,0.999458,0.979535,0.947861,0.990804]
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
0.8362600684246534 [0.888889,0.72973,0.882812,0.881356,0.932203,0.646341,0.933921,0.875576,0.8,0.779817]
f_measure
0.8370841271138475 [0.891775,0.695238,0.809524,0.87395,0.961039,0.677083,0.976744,0.862559,0.808081,0.810811]
f_measure
0.8331142116988876 [0.900901,0.737778,0.897959,0.861925,0.943723,0.596491,0.92511,0.82243,0.81592,0.816143]
f_measure
0.8468808392380527 [0.904348,0.711712,0.852459,0.877637,0.936709,0.719101,0.936937,0.868778,0.80203,0.857143]
f_measure
0.8438221336157686 [0.902655,0.727273,0.902439,0.878661,0.961039,0.64,0.9375,0.873874,0.764398,0.839286]
f_measure
0.8420363624291947 [0.90991,0.709677,0.859438,0.886076,0.932773,0.644068,0.929204,0.842593,0.884422,0.820276]
f_measure
0.8419505174880064 [0.929204,0.695652,0.854902,0.883333,0.935065,0.674157,0.913793,0.872727,0.836735,0.816901]
f_measure
0.8348275829933209 [0.913793,0.682464,0.857143,0.876033,0.947368,0.576687,0.933921,0.892857,0.874372,0.784141]
f_measure
0.82923954900596 [0.866071,0.717489,0.837398,0.852459,0.961039,0.619048,0.903509,0.861244,0.821782,0.843049]
f_measure
0.8374009747029542 [0.893805,0.67619,0.85259,0.881356,0.910638,0.700565,0.921739,0.896861,0.795812,0.840183]
kappa
0.8251860670631443
kappa
0.8221998543434756
kappa
0.8210257462435953
kappa
0.834154420898626
kappa
0.8331517648639248
kappa
0.8301217556440683
kappa
0.830121286732435
kappa
0.8250690745618838
kappa
0.8159681138245194
kappa
0.8250550708421744
kb_relative_information_score
0.5813944212615462
kb_relative_information_score
0.5703178104795348
kb_relative_information_score
0.5738743392992547
kb_relative_information_score
0.5835883277591333
kb_relative_information_score
0.575286428818143
kb_relative_information_score
0.5722264324796782
kb_relative_information_score
0.5776888582302447
kb_relative_information_score
0.5743260587950766
kb_relative_information_score
0.5705127398716208
kb_relative_information_score
0.5720492163907882
mean_absolute_error
0.11739407424947093
mean_absolute_error
0.1197218411708847
mean_absolute_error
0.11907847467175697
mean_absolute_error
0.11777970585866161
mean_absolute_error
0.11881736175594967
mean_absolute_error
0.11946853183141011
mean_absolute_error
0.11817297752171661
mean_absolute_error
0.11900554417232363
mean_absolute_error
0.11939758404034374
mean_absolute_error
0.11949326605693288
mean_prior_absolute_error
0.17996798929120086
mean_prior_absolute_error
0.17996798929120086
mean_prior_absolute_error
0.17996580653132724
mean_prior_absolute_error
0.17996580653132724
mean_prior_absolute_error
0.17996724559468558
mean_prior_absolute_error
0.17996724559468558
mean_prior_absolute_error
0.1799686846580439
mean_prior_absolute_error
0.1799701568033185
mean_prior_absolute_error
0.1799701568033185
mean_prior_absolute_error
0.1799686846580439
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1099 [115,114,115,105,114,105,105,115,105,106]
number_of_instances
1099 [114,115,114,105,115,106,105,115,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,114,114,106,115,106,106,114,105,105]
number_of_instances
1099 [114,114,114,106,114,106,106,114,106,105]
number_of_instances
1099 [114,114,114,106,114,105,106,114,106,106]
number_of_instances
1099 [114,114,115,105,114,105,106,114,106,106]
precision
0.8481739506314475 [0.87395,0.75,0.801418,0.793893,0.901639,0.898305,0.876033,0.92233,0.904762,0.758929]
precision
0.842364754364292 [0.887931,0.760417,0.744526,0.781955,0.948718,0.747126,0.963303,0.938144,0.869565,0.775862]
precision
0.8396733732993719 [0.934579,0.747748,0.846154,0.768657,0.931624,0.772727,0.860656,0.888889,0.854167,0.777778]
precision
0.8530858974577781 [0.896552,0.738318,0.8,0.787879,0.909836,0.888889,0.888889,0.90566,0.858696,0.857143]
precision
0.8500140520434043 [0.910714,0.761905,0.840909,0.789474,0.956897,0.811594,0.882353,0.898148,0.848837,0.789916]
precision
0.8482058787486905 [0.935185,0.754902,0.792593,0.801527,0.902439,0.802817,0.867769,0.892157,0.93617,0.794643]
precision
0.8499839611938287 [0.9375,0.774194,0.77305,0.791045,0.931034,0.833333,0.84127,0.90566,0.901099,0.805556]
precision
0.8450191599101378 [0.898305,0.742268,0.801527,0.779412,0.947368,0.824561,0.876033,0.909091,0.935484,0.729508]
precision
0.8390865728101935 [0.881818,0.733945,0.780303,0.753623,0.948718,0.825397,0.844262,0.947368,0.864583,0.803419]
precision
0.844819645119319 [0.901786,0.739583,0.786765,0.793893,0.884298,0.861111,0.854839,0.917431,0.894118,0.814159]
predictive_accuracy
0.8427272727272727
predictive_accuracy
0.84
predictive_accuracy
0.8389444949954504
predictive_accuracy
0.8507734303912647
predictive_accuracy
0.8498635122838943
predictive_accuracy
0.8471337579617834
predictive_accuracy
0.8471337579617834
predictive_accuracy
0.8425841674249318
predictive_accuracy
0.8343949044585988
predictive_accuracy
0.8425841674249318
prior_entropy
3.3207726565016804
prior_entropy
3.3207726565016804
prior_entropy
3.320615093773185
prior_entropy
3.320615093773185
prior_entropy
3.3207190205874304
prior_entropy
3.3207190205874304
prior_entropy
3.320822852867135
prior_entropy
3.3209290746720725
prior_entropy
3.3209290746720725
prior_entropy
3.3208228528671353
relative_absolute_error
0.6523053055814223
relative_absolute_error
0.6652396442412121
relative_absolute_error
0.6616727753281765
relative_absolute_error
0.6544560221119522
relative_absolute_error
0.6602165930990853
relative_absolute_error
0.663834863042089
relative_absolute_error
0.6566307785504769
relative_absolute_error
0.6612515446234767
relative_absolute_error
0.6634299050526924
relative_absolute_error
0.6639669911683826
root_mean_prior_squared_error
0.29997330956058954
root_mean_prior_squared_error
0.29997330956058954
root_mean_prior_squared_error
0.29996967128171426
root_mean_prior_squared_error
0.29996967128171426
root_mean_prior_squared_error
0.29997206995355086
root_mean_prior_squared_error
0.29997206995355086
root_mean_prior_squared_error
0.2999744686062071
root_mean_prior_squared_error
0.29997692238045737
root_mean_prior_squared_error
0.29997692238045737
root_mean_prior_squared_error
0.2999744686062071
root_mean_squared_error
0.21041177150430038
root_mean_squared_error
0.21405288546174997
root_mean_squared_error
0.21267718129925745
root_mean_squared_error
0.21069403607222253
root_mean_squared_error
0.21229597565735622
root_mean_squared_error
0.21325850351479259
root_mean_squared_error
0.21146553390788053
root_mean_squared_error
0.21239987524822226
root_mean_squared_error
0.21369693599803205
root_mean_squared_error
0.21355227702908874
root_relative_squared_error
0.7014349770401849
root_relative_squared_error
0.7135731034714438
root_relative_squared_error
0.7089956140916769
root_relative_squared_error
0.7023844616422932
root_relative_squared_error
0.7077191409527867
root_relative_squared_error
0.7109278658770283
root_relative_squared_error
0.7049451071300435
root_relative_squared_error
0.7080540515007947
root_relative_squared_error
0.7123779199487974
root_relative_squared_error
0.7119015095562367
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
0.840983447133009 [0.904348,0.710526,0.982609,0.990476,0.964912,0.504762,1,0.833333,0.716981,0.801887]
unweighted_recall
0.8398752829571879 [0.895652,0.640351,0.886957,0.990476,0.973684,0.619048,0.990566,0.798246,0.754717,0.849057]
unweighted_recall
0.838162448779866 [0.869565,0.72807,0.956522,0.980952,0.95614,0.485714,1,0.765217,0.780952,0.858491]
unweighted_recall
0.8505767700629752 [0.912281,0.686957,0.912281,0.990476,0.965217,0.603774,0.990476,0.834783,0.752381,0.857143]
unweighted_recall
0.8489511925835919 [0.894737,0.695652,0.973684,0.990566,0.965217,0.528302,1,0.850877,0.695238,0.895238]
unweighted_recall
0.847160579874625 [0.885965,0.669565,0.938596,0.990566,0.965217,0.537736,1,0.798246,0.838095,0.847619]
unweighted_recall
0.8465569173137931 [0.921053,0.631579,0.95614,1,0.93913,0.566038,1,0.842105,0.780952,0.828571]
unweighted_recall
0.8418787534874923 [0.929825,0.631579,0.921053,1,0.947368,0.443396,1,0.877193,0.820755,0.847619]
unweighted_recall
0.8337177850286093 [0.850877,0.701754,0.903509,0.981132,0.973684,0.495238,0.971698,0.789474,0.783019,0.886792]
unweighted_recall
0.8420854227447206 [0.885965,0.622807,0.930435,0.990476,0.938596,0.590476,1,0.877193,0.716981,0.867925]
usercpu_time_millis
221.4063390129013
usercpu_time_millis
197.46085701626725
usercpu_time_millis
196.72190300479997
usercpu_time_millis
201.32064798963256
usercpu_time_millis
207.0528629992623
usercpu_time_millis
216.62036400812212
usercpu_time_millis
210.97174998431
usercpu_time_millis
208.68363299814519
usercpu_time_millis
201.8867680017138
usercpu_time_millis
210.53865499561653
usercpu_time_millis_testing
0.9506750066066161
usercpu_time_millis_testing
0.9007720072986558
usercpu_time_millis_testing
0.9167950047412887
usercpu_time_millis_testing
0.9897399868350476
usercpu_time_millis_testing
0.9353130008094013
usercpu_time_millis_testing
0.9663759992690757
usercpu_time_millis_testing
0.9678289934527129
usercpu_time_millis_testing
0.9146939992206171
usercpu_time_millis_testing
0.9538879967294633
usercpu_time_millis_testing
0.9684219985501841
usercpu_time_millis_training
220.45566400629468
usercpu_time_millis_training
196.5600850089686
usercpu_time_millis_training
195.80510800005868
usercpu_time_millis_training
200.3309080027975
usercpu_time_millis_training
206.1175499984529
usercpu_time_millis_training
215.65398800885305
usercpu_time_millis_training
210.0039209908573
usercpu_time_millis_training
207.76893899892457
usercpu_time_millis_training
200.93288000498433
usercpu_time_millis_training
209.57023299706634
wall_clock_time_millis
221.41122817993164
wall_clock_time_millis
197.46756553649902
wall_clock_time_millis
196.72751426696777
wall_clock_time_millis
201.32708549499512
wall_clock_time_millis
207.0610523223877
wall_clock_time_millis
216.6271209716797
wall_clock_time_millis
210.9823226928711
wall_clock_time_millis
208.71281623840332
wall_clock_time_millis
201.91454887390137
wall_clock_time_millis
210.54911613464355
wall_clock_time_millis_testing
0.9551048278808594
wall_clock_time_millis_testing
0.9064674377441406
wall_clock_time_millis_testing
0.9229183197021484
wall_clock_time_millis_testing
0.9958744049072266
wall_clock_time_millis_testing
0.9403228759765625
wall_clock_time_millis_testing
0.9732246398925781
wall_clock_time_millis_testing
0.9748935699462891
wall_clock_time_millis_testing
0.9191036224365234
wall_clock_time_millis_testing
0.9615421295166016
wall_clock_time_millis_testing
0.9765625
wall_clock_time_millis_training
220.45612335205078
wall_clock_time_millis_training
196.56109809875488
wall_clock_time_millis_training
195.80459594726562
wall_clock_time_millis_training
200.3312110900879
wall_clock_time_millis_training
206.12072944641113
wall_clock_time_millis_training
215.6538963317871
wall_clock_time_millis_training
210.0074291229248
wall_clock_time_millis_training
207.7937126159668
wall_clock_time_millis_training
200.95300674438477
wall_clock_time_millis_training
209.57255363464355
weighted_recall
0.8427272727272728 [0.904348,0.710526,0.982609,0.990476,0.964912,0.504762,1,0.833333,0.716981,0.801887]
weighted_recall
0.84 [0.895652,0.640351,0.886957,0.990476,0.973684,0.619048,0.990566,0.798246,0.754717,0.849057]
weighted_recall
0.8389444949954504 [0.869565,0.72807,0.956522,0.980952,0.95614,0.485714,1,0.765217,0.780952,0.858491]
weighted_recall
0.8507734303912647 [0.912281,0.686957,0.912281,0.990476,0.965217,0.603774,0.990476,0.834783,0.752381,0.857143]
weighted_recall
0.8498635122838945 [0.894737,0.695652,0.973684,0.990566,0.965217,0.528302,1,0.850877,0.695238,0.895238]
weighted_recall
0.8471337579617835 [0.885965,0.669565,0.938596,0.990566,0.965217,0.537736,1,0.798246,0.838095,0.847619]
weighted_recall
0.8471337579617835 [0.921053,0.631579,0.95614,1,0.93913,0.566038,1,0.842105,0.780952,0.828571]
weighted_recall
0.8425841674249318 [0.929825,0.631579,0.921053,1,0.947368,0.443396,1,0.877193,0.820755,0.847619]
weighted_recall
0.8343949044585988 [0.850877,0.701754,0.903509,0.981132,0.973684,0.495238,0.971698,0.789474,0.783019,0.886792]
weighted_recall
0.8425841674249318 [0.885965,0.622807,0.930435,0.990476,0.938596,0.590476,1,0.877193,0.716981,0.867925]