10558636
8323
Heinrich Peters
32
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275912
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
C
224.662208931
17462
class_weight
null
17462
dual
true
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
785
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"liblinear"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
memory
null
18591
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"}}]
18591
verbose
false
18591
openml-python
Sklearn_0.21.2.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
22042236
description
https://api.openml.org/data/download/22042236/description.xml
-1
22042237
predictions
https://api.openml.org/data/download/22042237/predictions.arff
area_under_roc_curve
0.9937349913859489 [0.99057,0.990326,0.998767,0.997828,0.999635,0.98626,0.999013,0.994113,0.99011,0.990317]
average_cost
0
f_measure
0.9337929175963554 [0.939568,0.880591,0.971776,0.974166,0.982548,0.859449,0.990521,0.947791,0.896912,0.890038]
kappa
0.9263995292616692
kb_relative_information_score
0.9062647631242126
mean_absolute_error
0.028556618409146386
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.9337700145560408 [0.931759,0.887139,0.978147,0.982938,0.984266,0.85782,0.989583,0.929947,0.894787,0.89763]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9339501226827323 [0.947509,0.874138,0.965487,0.965549,0.980836,0.861085,0.991461,0.966333,0.899048,0.882572]
predictive_accuracy
0.9337700145560407
prior_entropy
3.320771739846944
relative_absolute_error
0.1586761097842538
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.1088095077917187
root_relative_squared_error
0.3627306563959231
total_cost
0
unweighted_recall
0.9334016374586879 [0.931759,0.887139,0.978147,0.982938,0.984266,0.85782,0.989583,0.929947,0.894787,0.89763]
area_under_roc_curve
0.9943500939264932 [0.991278,0.991931,0.999585,0.99956,0.999617,0.986322,0.999848,0.9946,0.991088,0.989228]
area_under_roc_curve
0.9904134766188095 [0.97318,0.988621,0.996319,0.997913,0.999778,0.976234,1,0.990712,0.988734,0.992948]
area_under_roc_curve
0.9939665931758713 [0.994565,0.994577,0.999496,0.999291,0.99976,0.982265,1,0.994362,0.991319,0.982966]
area_under_roc_curve
0.9950496360811919 [0.994211,0.988494,0.998335,0.997442,0.999903,0.994737,0.992306,0.996297,0.992383,0.996225]
area_under_roc_curve
0.9936933417773952 [0.991166,0.995431,0.999448,0.999506,0.9997,0.986595,0.99999,0.996367,0.984565,0.982936]
area_under_roc_curve
0.9937253291436507 [0.987506,0.991402,0.999742,0.999449,0.999735,0.985901,1,0.990587,0.990869,0.992019]
area_under_roc_curve
0.9947697406819606 [0.991691,0.993365,0.999359,0.998822,0.999947,0.988495,0.999829,0.994977,0.988991,0.991674]
area_under_roc_curve
0.995094508451033 [0.998183,0.985404,0.999118,0.999886,0.999056,0.987887,0.999781,0.998272,0.990718,0.992268]
area_under_roc_curve
0.992958392879346 [0.993935,0.991753,0.998744,0.988808,0.999964,0.98009,0.999962,0.992965,0.991383,0.990908]
area_under_roc_curve
0.994161653089766 [0.992261,0.983454,0.998427,0.998946,0.998949,0.993868,0.99999,0.992929,0.990785,0.992371]
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
0.9371862934988454 [0.938053,0.895652,0.978723,0.980952,0.977974,0.875,0.985782,0.960699,0.892019,0.881517]
f_measure
0.9230147956974695 [0.950226,0.845815,0.944681,0.981132,0.982456,0.81106,0.995305,0.93578,0.914027,0.865385]
f_measure
0.9354084012571685 [0.934498,0.895652,0.969957,0.95814,0.982456,0.873786,1,0.950226,0.874419,0.909953]
f_measure
0.9455271786109605 [0.947826,0.87069,0.969163,0.985782,0.991228,0.917431,0.990476,0.938053,0.913462,0.932692]
f_measure
0.9324917855490505 [0.931034,0.918455,0.987013,0.971698,0.982456,0.851675,0.990476,0.946903,0.872549,0.86385]
f_measure
0.9303695668036351 [0.928571,0.87395,0.986667,0.990566,0.978723,0.834862,0.985507,0.928571,0.902913,0.889952]
f_measure
0.9433750338778859 [0.955752,0.891892,0.982609,0.967742,0.991304,0.877358,0.981308,0.951111,0.90566,0.92381]
f_measure
0.9361451036392825 [0.943723,0.89083,0.982609,0.981132,0.982301,0.819512,0.995305,0.973451,0.913462,0.87156]
f_measure
0.9217451839690064 [0.920354,0.859504,0.964912,0.971963,0.991304,0.83,0.985782,0.931507,0.875,0.881818]
f_measure
0.9326059802829308 [0.945946,0.863636,0.951965,0.953271,0.965517,0.901408,0.995261,0.960352,0.904762,0.881818]
kappa
0.9302887551812722
kappa
0.9141364468284208
kappa
0.9282063502724844
kappa
0.939327747020444
kappa
0.9251668255481411
kappa
0.9221341229449593
kappa
0.9373102415291819
kappa
0.9292170725513506
kappa
0.9130347570210581
kappa
0.925178805046838
kb_relative_information_score
0.9064190337487346
kb_relative_information_score
0.8931873015852279
kb_relative_information_score
0.9057893926099108
kb_relative_information_score
0.9137401122878583
kb_relative_information_score
0.9079852724657178
kb_relative_information_score
0.9063363616356888
kb_relative_information_score
0.9131362464573166
kb_relative_information_score
0.9112273385819922
kb_relative_information_score
0.8985422422247309
kb_relative_information_score
0.9062964754213675
mean_absolute_error
0.02855206385269601
mean_absolute_error
0.03176462765851308
mean_absolute_error
0.028886720916236223
mean_absolute_error
0.026826275640126383
mean_absolute_error
0.027470295419993244
mean_absolute_error
0.02749040243445842
mean_absolute_error
0.027716267598938357
mean_absolute_error
0.028122197875370784
mean_absolute_error
0.030168588574822356
mean_absolute_error
0.028565829238877575
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
0.9373030913910689 [0.954955,0.887931,0.958333,0.980952,0.982301,0.883495,0.990476,0.956522,0.88785,0.885714]
precision
0.9246707533352777 [0.990566,0.849558,0.925,0.971963,0.982456,0.785714,0.990654,0.980769,0.878261,0.882353]
precision
0.9360591848055839 [0.938596,0.887931,0.957627,0.936364,0.982456,0.891089,1,0.990566,0.854545,0.914286]
precision
0.9459302506670805 [0.939655,0.863248,0.973451,0.981132,1,0.892857,0.990476,0.954955,0.92233,0.941748]
precision
0.9326835297210939 [0.915254,0.90678,0.974359,0.971698,0.99115,0.864078,0.990476,0.955357,0.89899,0.851852]
precision
0.9314923941226166 [0.945455,0.845528,1,0.990566,0.958333,0.8125,1,0.945455,0.920792,0.894231]
precision
0.9434973801281671 [0.964286,0.916667,0.974138,0.945946,0.991304,0.877358,0.972222,0.963964,0.897196,0.92381]
precision
0.9365467612427656 [0.931624,0.886957,0.974138,0.981132,0.991071,0.848485,0.990654,0.982143,0.931373,0.840708]
precision
0.923405354900414 [0.928571,0.8125,0.964912,0.962963,0.982759,0.873684,0.990476,0.971429,0.892157,0.850877]
precision
0.9333370302144923 [0.972222,0.896226,0.95614,0.93578,0.949153,0.888889,1,0.964602,0.913462,0.850877]
predictive_accuracy
0.9372727272727274
predictive_accuracy
0.9227272727272726
predictive_accuracy
0.935395814376706
predictive_accuracy
0.9454049135577798
predictive_accuracy
0.9326660600545951
predictive_accuracy
0.9299363057324841
predictive_accuracy
0.9435850773430391
predictive_accuracy
0.9363057324840764
predictive_accuracy
0.921747042766151
predictive_accuracy
0.9326660600545951
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
0.15865079098314958
relative_absolute_error
0.17650154221101885
relative_absolute_error
0.16051227437589827
relative_absolute_error
0.1490631812630287
relative_absolute_error
0.15264052816511206
relative_absolute_error
0.152752254131683
relative_absolute_error
0.1540060575071806
relative_absolute_error
0.1562603399079343
relative_absolute_error
0.16763106234214312
relative_absolute_error
0.15872666565939028
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
0.10771565357792282
root_mean_squared_error
0.1187822507906003
root_mean_squared_error
0.10869862745330434
root_mean_squared_error
0.10295280587835402
root_mean_squared_error
0.10825398647672445
root_mean_squared_error
0.10968161286263925
root_mean_squared_error
0.10396729848954338
root_mean_squared_error
0.10520754513838584
root_mean_squared_error
0.11406073568846273
root_mean_squared_error
0.10784258535365891
root_relative_squared_error
0.3590841256367379
root_relative_squared_error
0.39597606521925677
root_relative_squared_error
0.36236539177062627
root_relative_squared_error
0.3432107167316481
root_relative_squared_error
0.3608802195934009
root_relative_squared_error
0.3656394172951598
root_relative_squared_error
0.3465871578091766
root_relative_squared_error
0.35071879631111186
root_relative_squared_error
0.38023170177004745
root_relative_squared_error
0.35950588013285156
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
0.93661804223438 [0.921739,0.903509,1,0.980952,0.973684,0.866667,0.981132,0.964912,0.896226,0.877358]
unweighted_recall
0.9228017336203511 [0.913043,0.842105,0.965217,0.990476,0.982456,0.838095,1,0.894737,0.95283,0.849057]
unweighted_recall
0.9351045579494264 [0.930435,0.903509,0.982609,0.980952,0.982456,0.857143,1,0.913043,0.895238,0.90566]
unweighted_recall
0.9456581363170026 [0.95614,0.878261,0.964912,0.990476,0.982609,0.943396,0.990476,0.921739,0.904762,0.92381]
unweighted_recall
0.9315919207370355 [0.947368,0.930435,1,0.971698,0.973913,0.839623,0.990476,0.938596,0.847619,0.87619]
unweighted_recall
0.9294507186752773 [0.912281,0.904348,0.973684,0.990566,1,0.858491,0.971429,0.912281,0.885714,0.885714]
unweighted_recall
0.9433504187046781 [0.947368,0.868421,0.991228,0.990566,0.991304,0.877358,0.990566,0.938596,0.914286,0.92381]
unweighted_recall
0.9355274979902587 [0.95614,0.894737,0.991228,0.981132,0.973684,0.792453,1,0.964912,0.896226,0.904762]
unweighted_recall
0.9210535773395753 [0.912281,0.912281,0.964912,0.981132,1,0.790476,0.981132,0.894737,0.858491,0.915094]
unweighted_recall
0.9328409621263989 [0.921053,0.833333,0.947826,0.971429,0.982456,0.914286,0.990566,0.95614,0.896226,0.915094]
usercpu_time_millis
28153.945999999905
usercpu_time_millis
30631.818000000294
usercpu_time_millis
28512.385999999424
usercpu_time_millis
30149.795999999697
usercpu_time_millis
28628.655999999864
usercpu_time_millis
29612.00000000008
usercpu_time_millis
29064.316000000417
usercpu_time_millis
26706.35399999992
usercpu_time_millis
27832.22599999999
usercpu_time_millis
28384.284000000207
usercpu_time_millis_testing
2.007999999932508
usercpu_time_millis_testing
2.5400000004083267
usercpu_time_millis_testing
1.8659999996089027
usercpu_time_millis_testing
1.874000000043452
usercpu_time_millis_testing
1.5739999998913845
usercpu_time_millis_testing
1.9059999999626598
usercpu_time_millis_testing
1.7600000001039007
usercpu_time_millis_testing
2.4699999999029387
usercpu_time_millis_testing
2.292000000124972
usercpu_time_millis_testing
1.9060000004174071
usercpu_time_millis_training
28151.937999999973
usercpu_time_millis_training
30629.277999999886
usercpu_time_millis_training
28510.519999999815
usercpu_time_millis_training
30147.921999999653
usercpu_time_millis_training
28627.081999999973
usercpu_time_millis_training
29610.094000000117
usercpu_time_millis_training
29062.556000000313
usercpu_time_millis_training
26703.884000000016
usercpu_time_millis_training
27829.933999999867
usercpu_time_millis_training
28382.37799999979
wall_clock_time_millis
14563.635110855103
wall_clock_time_millis
15975.34990310669
wall_clock_time_millis
14575.727939605713
wall_clock_time_millis
15680.720567703247
wall_clock_time_millis
14609.074115753174
wall_clock_time_millis
15334.957838058472
wall_clock_time_millis
14902.635097503662
wall_clock_time_millis
13393.584966659546
wall_clock_time_millis
14041.399002075195
wall_clock_time_millis
14318.098068237305
wall_clock_time_millis_testing
0.9560585021972656
wall_clock_time_millis_testing
1.2478828430175781
wall_clock_time_millis_testing
0.8959770202636719
wall_clock_time_millis_testing
0.8847713470458984
wall_clock_time_millis_testing
0.7610321044921875
wall_clock_time_millis_testing
0.9069442749023438
wall_clock_time_millis_testing
0.8599758148193359
wall_clock_time_millis_testing
1.6489028930664062
wall_clock_time_millis_testing
1.1219978332519531
wall_clock_time_millis_testing
0.9069442749023438
wall_clock_time_millis_training
14562.679052352905
wall_clock_time_millis_training
15974.102020263672
wall_clock_time_millis_training
14574.83196258545
wall_clock_time_millis_training
15679.835796356201
wall_clock_time_millis_training
14608.313083648682
wall_clock_time_millis_training
15334.05089378357
wall_clock_time_millis_training
14901.775121688843
wall_clock_time_millis_training
13391.93606376648
wall_clock_time_millis_training
14040.277004241943
wall_clock_time_millis_training
14317.191123962402
weighted_recall
0.9372727272727273 [0.921739,0.903509,1,0.980952,0.973684,0.866667,0.981132,0.964912,0.896226,0.877358]
weighted_recall
0.9227272727272727 [0.913043,0.842105,0.965217,0.990476,0.982456,0.838095,1,0.894737,0.95283,0.849057]
weighted_recall
0.935395814376706 [0.930435,0.903509,0.982609,0.980952,0.982456,0.857143,1,0.913043,0.895238,0.90566]
weighted_recall
0.9454049135577798 [0.95614,0.878261,0.964912,0.990476,0.982609,0.943396,0.990476,0.921739,0.904762,0.92381]
weighted_recall
0.9326660600545951 [0.947368,0.930435,1,0.971698,0.973913,0.839623,0.990476,0.938596,0.847619,0.87619]
weighted_recall
0.9299363057324841 [0.912281,0.904348,0.973684,0.990566,1,0.858491,0.971429,0.912281,0.885714,0.885714]
weighted_recall
0.9435850773430391 [0.947368,0.868421,0.991228,0.990566,0.991304,0.877358,0.990566,0.938596,0.914286,0.92381]
weighted_recall
0.9363057324840764 [0.95614,0.894737,0.991228,0.981132,0.973684,0.792453,1,0.964912,0.896226,0.904762]
weighted_recall
0.921747042766151 [0.912281,0.912281,0.964912,0.981132,1,0.790476,0.981132,0.894737,0.858491,0.915094]
weighted_recall
0.9326660600545951 [0.921053,0.833333,0.947826,0.971429,0.982456,0.914286,0.990566,0.95614,0.896226,0.915094]