10587867
30355
Tan Tran
32
Supervised Classification
19083
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier)(18)
8304000
Python_3.8.13. Sklearn_1.0.2. NumPy_1.21.5. SciPy_1.8.1.
memory
null
19083
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
19083
verbose
false
19083
add_indicator
false
19084
copy
true
19084
fill_value
null
19084
missing_values
NaN
19084
strategy
"mean"
19084
verbose
0
19084
ccp_alpha
0.0
19085
class_weight
null
19085
criterion
"gini"
19085
max_depth
null
19085
max_features
null
19085
max_leaf_nodes
null
19085
min_impurity_decrease
0.0
19085
min_samples_leaf
1
19085
min_samples_split
2
19085
min_weight_fraction_leaf
0.0
19085
random_state
58674
19085
splitter
"best"
19085
openml-python
Sklearn_1.0.2.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
22103025
description
https://api.openml.org/data/download/22103025/description.xml
-1
22103026
predictions
https://api.openml.org/data/download/22103026/predictions.arff
area_under_roc_curve
0.9794222122448241 [0.988771,0.962744,0.975995,0.981572,0.988627,0.977558,0.986482,0.978267,0.97791,0.976509]
average_cost
0
f_measure
0.9629767166931945 [0.979878,0.932285,0.956332,0.9623,0.978612,0.960152,0.976303,0.962703,0.963351,0.958254]
kappa
0.958851537915658
kb_relative_information_score
0.9612865372309526
mean_absolute_error
0.007405385735080114
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.9629730713245997 [0.979878,0.933508,0.957168,0.967773,0.979895,0.959242,0.975379,0.960595,0.959242,0.957346]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9629919599585837 [0.979878,0.931065,0.955497,0.956888,0.977332,0.961064,0.97723,0.96482,0.967495,0.959164]
predictive_accuracy
0.9629730713245997
prior_entropy
3.320771739846944
relative_absolute_error
0.04114835247852598
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.08605455092602665
root_relative_squared_error
0.2868740459979337
total_cost
0
unweighted_recall
0.9630024894032914 [0.979878,0.933508,0.957168,0.967773,0.979895,0.959242,0.975379,0.960595,0.959242,0.957346]
area_under_roc_curve
0.9848476670210169 [0.99797,0.971149,0.985434,0.982699,0.977563,0.980952,0.999497,0.981442,0.984843,0.987548]
area_under_roc_curve
0.976743241138779 [0.982609,0.962706,0.965504,0.982699,0.993586,0.969921,0.975409,0.984814,0.984843,0.964969]
area_under_roc_curve
0.9798041808846816 [0.982101,0.967268,0.989272,0.97894,0.998477,0.973172,0.993226,0.972389,0.982193,0.96025]
area_under_roc_curve
0.9833089492951386 [0.994599,0.96166,0.984812,0.97894,0.994636,0.992765,0.985714,0.972389,0.988464,0.979946]
area_under_roc_curve
0.9787619101190532 [0.979918,0.969848,0.972669,0.988552,0.990796,0.97289,0.971429,0.97941,0.968913,0.993226]
area_under_roc_curve
0.9772272682058661 [0.971146,0.966008,0.975532,0.975912,0.983908,0.975408,0.984205,0.993076,0.959893,0.986955]
area_under_roc_curve
0.9742327860132785 [0.991228,0.951572,0.975532,0.983331,0.990288,0.977104,0.990751,0.961867,0.955131,0.965158]
area_under_roc_curve
0.9792593657034246 [0.998477,0.96473,0.965745,0.988552,0.964405,0.984338,0.988552,0.97604,0.989559,0.974178]
area_under_roc_curve
0.9817964236413005 [0.995614,0.969116,0.967268,0.977607,0.998985,0.965661,0.994779,0.984812,0.989559,0.973897]
area_under_roc_curve
0.9782384443079561 [0.994091,0.943308,0.978036,0.978437,0.993584,0.983199,0.981132,0.976547,0.975408,0.979118]
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
0.9727445066718877 [0.982906,0.951542,0.973913,0.957746,0.973214,0.980583,0.995305,0.973451,0.976303,0.962963]
f_measure
0.958325780800304 [0.982301,0.91453,0.935065,0.957746,0.978355,0.956522,0.966507,0.969432,0.976303,0.947368]
f_measure
0.9635294351126061 [0.977974,0.951111,0.974138,0.961905,0.987013,0.947867,0.976526,0.960352,0.953271,0.942308]
f_measure
0.9699448382787573 [0.9869,0.934498,0.969432,0.961905,0.987013,0.972222,0.985507,0.960352,0.971698,0.971154]
f_measure
0.9618291786053279 [0.960699,0.939655,0.964286,0.971963,0.9869,0.943925,0.970588,0.956522,0.947368,0.976526]
f_measure
0.959022429247938 [0.951542,0.93913,0.95614,0.971154,0.961373,0.966507,0.971429,0.974138,0.941748,0.95814]
f_measure
0.9535596376943142 [0.99115,0.9163,0.95614,0.962617,0.982609,0.944444,0.954545,0.938053,0.936585,0.951456]
f_measure
0.9626580815992271 [0.987013,0.930435,0.938596,0.971963,0.959276,0.971698,0.971963,0.960352,0.981132,0.956938]
f_measure
0.9672546262096012 [0.995595,0.935065,0.951111,0.948837,0.991304,0.956098,0.990566,0.969432,0.981132,0.95283]
f_measure
0.960823065642274 [0.982609,0.910714,0.944681,0.957346,0.978355,0.962264,0.980769,0.964602,0.966507,0.962264]
kappa
0.9696920436103941
kappa
0.9535247269577708
kappa
0.9595525384554515
kappa
0.9666297388862412
kappa
0.9575289539763584
kappa
0.95449342360729
kappa
0.9484305778546553
kappa
0.9585426106958022
kappa
0.9635969161718796
kappa
0.9565172984909827
kb_relative_information_score
0.9715434271015165
kb_relative_information_score
0.9562105377005031
kb_relative_information_score
0.9618784121176902
kb_relative_information_score
0.9686443456708657
kb_relative_information_score
0.9600354093937306
kb_relative_information_score
0.9571362762179979
kb_relative_information_score
0.9514772313290071
kb_relative_information_score
0.9611453546256474
kb_relative_information_score
0.9656933563364827
kb_relative_information_score
0.9590965780375836
mean_absolute_error
0.005454545454545457
mean_absolute_error
0.008363636363636363
mean_absolute_error
0.007279344858962696
mean_absolute_error
0.006005459508644225
mean_absolute_error
0.00764331210191083
mean_absolute_error
0.00818926296633303
mean_absolute_error
0.009281164695177431
mean_absolute_error
0.007461328480436763
mean_absolute_error
0.006551410373066427
mean_absolute_error
0.007825295723384897
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
0.9730847952109251 [0.966387,0.955752,0.973913,0.944444,0.990909,1,0.990654,0.982143,0.980952,0.945455]
precision
0.95885539881859 [1,0.891667,0.931034,0.944444,0.965812,0.970588,0.980583,0.965217,0.980952,0.961165]
precision
0.9637832402671439 [0.991071,0.963964,0.965812,0.961905,0.974359,0.943396,0.962963,0.973214,0.93578,0.960784]
precision
0.9701050083951109 [0.982609,0.938596,0.965217,0.961905,0.982759,0.954545,1,0.973214,0.962617,0.980583]
precision
0.9622101158895997 [0.956522,0.931624,0.981818,0.962963,0.991228,0.935185,1,0.948276,0.951923,0.962963]
precision
0.959363133734152 [0.955752,0.93913,0.95614,0.990196,0.949153,0.980583,0.971429,0.957627,0.960396,0.936364]
precision
0.9540577614875704 [1,0.920354,0.95614,0.953704,0.982609,0.927273,0.921053,0.946429,0.96,0.970297]
precision
0.9629126144764026 [0.974359,0.922414,0.938596,0.962963,0.990654,0.971698,0.962963,0.964602,0.981132,0.961538]
precision
0.9675018990358838 [1,0.923077,0.963964,0.93578,0.982759,0.98,0.990566,0.965217,0.981132,0.95283]
precision
0.9611166360774125 [0.974138,0.927273,0.925,0.95283,0.965812,0.953271,1,0.973214,0.980583,0.962264]
predictive_accuracy
0.9727272727272727
predictive_accuracy
0.9581818181818181
predictive_accuracy
0.9636032757051864
predictive_accuracy
0.9699727024567788
predictive_accuracy
0.9617834394904459
predictive_accuracy
0.9590536851683349
predictive_accuracy
0.9535941765241128
predictive_accuracy
0.9626933575978163
predictive_accuracy
0.9672429481346678
predictive_accuracy
0.9608735213830755
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
0.030308420269782633
relative_absolute_error
0.04647291108033335
relative_absolute_error
0.04044848851715371
relative_absolute_error
0.033370003026651815
relative_absolute_error
0.042470573334909875
relative_absolute_error
0.045504185715974865
relative_absolute_error
0.05157099810343366
relative_absolute_error
0.041458698558511135
relative_absolute_error
0.036402759709912226
relative_absolute_error
0.04348142977348329
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
0.07385489458759965
root_mean_squared_error
0.09145291883606757
root_mean_squared_error
0.08531907675873372
root_mean_squared_error
0.07749489988795537
root_mean_squared_error
0.08742603789438722
root_mean_squared_error
0.09049454661101425
root_mean_squared_error
0.09633880160754249
root_mean_squared_error
0.08637898170525492
root_mean_squared_error
0.08094078312610045
root_mean_squared_error
0.08846070157637739
root_relative_squared_error
0.24620488634733756
root_relative_squared_error
0.30487018651769626
root_relative_squared_error
0.28442567674985697
root_relative_squared_error
0.258342450277837
root_relative_squared_error
0.2914472600996642
root_relative_squared_error
0.3016765748392071
root_relative_squared_error
0.3211566706165641
root_relative_squared_error
0.28795208984676973
root_relative_squared_error
0.2698233666903355
root_relative_squared_error
0.29489410211275213
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
0.9728497618122418 [1,0.947368,0.973913,0.971429,0.95614,0.961905,1,0.964912,0.971698,0.981132]
unweighted_recall
0.9580632878340232 [0.965217,0.938596,0.93913,0.971429,0.991228,0.942857,0.95283,0.973684,0.971698,0.933962]
unweighted_recall
0.9634967443218383 [0.965217,0.938596,0.982609,0.961905,1,0.952381,0.990476,0.947826,0.971429,0.924528]
unweighted_recall
0.9701234012019384 [0.991228,0.930435,0.973684,0.961905,0.991304,0.990566,0.971429,0.947826,0.980952,0.961905]
unweighted_recall
0.9617780505406255 [0.964912,0.947826,0.947368,0.981132,0.982609,0.95283,0.942857,0.964912,0.942857,0.990476]
unweighted_recall
0.9589631173915099 [0.947368,0.93913,0.95614,0.95283,0.973913,0.95283,0.971429,0.991228,0.92381,0.980952]
unweighted_recall
0.9535457799543978 [0.982456,0.912281,0.95614,0.971698,0.982609,0.962264,0.990566,0.929825,0.914286,0.933333]
unweighted_recall
0.9630633186740436 [1,0.938596,0.938596,0.981132,0.929825,0.971698,0.981132,0.95614,0.981132,0.952381]
unweighted_recall
0.9671002979145978 [0.991228,0.947368,0.938596,0.962264,1,0.933333,0.990566,0.973684,0.981132,0.95283]
unweighted_recall
0.9609242548537053 [0.991228,0.894737,0.965217,0.961905,0.991228,0.971429,0.962264,0.95614,0.95283,0.962264]
usercpu_time_millis
52.82578500000001
usercpu_time_millis
53.009263999999945
usercpu_time_millis
53.72476500000012
usercpu_time_millis
50.69950400000023
usercpu_time_millis
52.4619340000001
usercpu_time_millis
52.05734400000006
usercpu_time_millis
52.89281400000023
usercpu_time_millis
52.53139400000029
usercpu_time_millis
52.060514999999974
usercpu_time_millis
51.75560400000023
usercpu_time_millis_testing
0.813951000000035
usercpu_time_millis_testing
0.9921699999999589
usercpu_time_millis_testing
0.9416600000000663
usercpu_time_millis_testing
0.8411409999999897
usercpu_time_millis_testing
0.7860100000001147
usercpu_time_millis_testing
0.8877799999997826
usercpu_time_millis_testing
0.7862400000000491
usercpu_time_millis_testing
0.8116900000003646
usercpu_time_millis_testing
0.7717710000001432
usercpu_time_millis_testing
0.9333310000001482
usercpu_time_millis_training
52.01183399999998
usercpu_time_millis_training
52.017093999999986
usercpu_time_millis_training
52.78310500000005
usercpu_time_millis_training
49.85836300000024
usercpu_time_millis_training
51.67592399999998
usercpu_time_millis_training
51.16956400000028
usercpu_time_millis_training
52.10657400000018
usercpu_time_millis_training
51.71970399999992
usercpu_time_millis_training
51.28874399999983
usercpu_time_millis_training
50.82227300000008
wall_clock_time_millis
53.08365821838379
wall_clock_time_millis
53.22551727294922
wall_clock_time_millis
53.999900817871094
wall_clock_time_millis
50.80366134643555
wall_clock_time_millis
52.451133728027344
wall_clock_time_millis
52.06441879272461
wall_clock_time_millis
52.89578437805176
wall_clock_time_millis
52.5362491607666
wall_clock_time_millis
52.063703536987305
wall_clock_time_millis
51.76997184753418
wall_clock_time_millis_testing
0.81634521484375
wall_clock_time_millis_testing
0.9949207305908203
wall_clock_time_millis_testing
0.9717941284179688
wall_clock_time_millis_testing
0.8440017700195312
wall_clock_time_millis_testing
0.7889270782470703
wall_clock_time_millis_testing
0.8902549743652344
wall_clock_time_millis_testing
0.7884502410888672
wall_clock_time_millis_testing
0.8144378662109375
wall_clock_time_millis_testing
0.7741451263427734
wall_clock_time_millis_testing
0.9362697601318359
wall_clock_time_millis_training
52.26731300354004
wall_clock_time_millis_training
52.2305965423584
wall_clock_time_millis_training
53.028106689453125
wall_clock_time_millis_training
49.959659576416016
wall_clock_time_millis_training
51.66220664978027
wall_clock_time_millis_training
51.174163818359375
wall_clock_time_millis_training
52.10733413696289
wall_clock_time_millis_training
51.721811294555664
wall_clock_time_millis_training
51.28955841064453
wall_clock_time_millis_training
50.833702087402344
weighted_recall
0.9727272727272728 [1,0.947368,0.973913,0.971429,0.95614,0.961905,1,0.964912,0.971698,0.981132]
weighted_recall
0.9581818181818181 [0.965217,0.938596,0.93913,0.971429,0.991228,0.942857,0.95283,0.973684,0.971698,0.933962]
weighted_recall
0.9636032757051866 [0.965217,0.938596,0.982609,0.961905,1,0.952381,0.990476,0.947826,0.971429,0.924528]
weighted_recall
0.9699727024567789 [0.991228,0.930435,0.973684,0.961905,0.991304,0.990566,0.971429,0.947826,0.980952,0.961905]
weighted_recall
0.9617834394904459 [0.964912,0.947826,0.947368,0.981132,0.982609,0.95283,0.942857,0.964912,0.942857,0.990476]
weighted_recall
0.9590536851683349 [0.947368,0.93913,0.95614,0.95283,0.973913,0.95283,0.971429,0.991228,0.92381,0.980952]
weighted_recall
0.9535941765241128 [0.982456,0.912281,0.95614,0.971698,0.982609,0.962264,0.990566,0.929825,0.914286,0.933333]
weighted_recall
0.9626933575978162 [1,0.938596,0.938596,0.981132,0.929825,0.971698,0.981132,0.95614,0.981132,0.952381]
weighted_recall
0.9672429481346679 [0.991228,0.947368,0.938596,0.962264,1,0.933333,0.990566,0.973684,0.981132,0.95283]
weighted_recall
0.9608735213830755 [0.991228,0.894737,0.965217,0.961905,0.991228,0.971429,0.962264,0.95614,0.95283,0.962264]