10559737
869
Pieter Gijsbers
32
Supervised Classification
18717
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier)(7)
8276254
memory
null
18717
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"}}]
18717
verbose
false
18717
add_indicator
false
18718
copy
true
18718
fill_value
null
18718
missing_values
NaN
18718
strategy
"mean"
18718
verbose
0
18718
ccp_alpha
0.0
18719
class_weight
null
18719
criterion
"gini"
18719
max_depth
null
18719
max_features
null
18719
max_leaf_nodes
null
18719
min_impurity_decrease
0.0
18719
min_impurity_split
null
18719
min_samples_leaf
1
18719
min_samples_split
2
18719
min_weight_fraction_leaf
0.0
18719
presort
"deprecated"
18719
random_state
46567
18719
splitter
"best"
18719
openml-python
Sklearn_0.23.2.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
22044712
description
https://api.openml.org/data/download/22044712/description.xml
-1
22044713
predictions
https://api.openml.org/data/download/22044713/predictions.arff
area_under_roc_curve
0.979121147924288 [0.988435,0.962947,0.977438,0.9815,0.985131,0.975884,0.985807,0.98012,0.977336,0.976732]
average_cost
0
f_measure
0.9624352938318178 [0.980289,0.933917,0.955652,0.965452,0.975033,0.956398,0.973971,0.965366,0.961941,0.956481]
kappa
0.9582450269187228
kb_relative_information_score
0.9607099326774309
mean_absolute_error
0.007514556040756972
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.9624272197962155 [0.979003,0.933508,0.960664,0.966825,0.972902,0.956398,0.974432,0.964098,0.958294,0.958294]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9624542400934529 [0.981579,0.934326,0.950692,0.964083,0.977173,0.956398,0.97351,0.966637,0.965616,0.954674]
predictive_accuracy
0.9624272197962155
prior_entropy
3.320771739846944
relative_absolute_error
0.04175496209737403
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.08668653898245662
root_relative_squared_error
0.2889808604408594
total_cost
0
unweighted_recall
0.9624417687976685 [0.979003,0.933508,0.960664,0.966825,0.972902,0.956398,0.974432,0.964098,0.958294,0.958294]
area_under_roc_curve
0.9848400100011969 [0.993622,0.966763,0.989782,0.987964,0.977056,0.979947,1,0.985321,0.975409,0.993271]
area_under_roc_curve
0.9782594469387168 [0.982609,0.953934,0.969852,0.983704,0.994093,0.974683,0.974906,0.980935,0.993271,0.975409]
area_under_roc_curve
0.9777670737589781 [0.977753,0.967268,0.984416,0.97894,0.993076,0.968913,0.992723,0.97572,0.983199,0.95503]
area_under_roc_curve
0.9807887467792299 [0.995106,0.952457,0.98869,0.97894,0.990288,0.988048,0.984708,0.976736,0.978437,0.974681]
area_under_roc_curve
0.9797643540558792 [0.980426,0.96934,0.963897,0.984338,0.995144,0.978614,0.975184,0.983289,0.974178,0.993729]
area_under_roc_curve
0.9757478818917356 [0.975532,0.971881,0.974517,0.980125,0.972897,0.974401,0.983702,0.984812,0.959893,0.979678]
area_under_roc_curve
0.9722074225250439 [0.991228,0.952587,0.986152,0.980629,0.972389,0.970373,0.991758,0.96676,0.949363,0.959893]
area_under_roc_curve
0.9807873110116216 [0.998985,0.969116,0.957481,0.988048,0.968791,0.974905,0.989055,0.981441,0.994779,0.987458]
area_under_roc_curve
0.9812847198876133 [0.995106,0.973502,0.971654,0.978614,0.998477,0.965661,0.984842,0.984812,0.989559,0.96918]
area_under_roc_curve
0.9797664082242449 [0.994091,0.952587,0.987747,0.973675,0.989198,0.983199,0.981132,0.981441,0.974905,0.979118]
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
0.9726803104068245 [0.978541,0.946903,0.978355,0.967136,0.968889,0.971154,1,0.973684,0.966507,0.976744]
f_measure
0.9610374999633685 [0.982301,0.905172,0.939655,0.966825,0.982609,0.961538,0.961905,0.969163,0.976744,0.966507]
f_measure
0.9598659287164771 [0.973451,0.951111,0.965517,0.961905,0.974138,0.947368,0.971963,0.956522,0.962264,0.932692]
f_measure
0.9653786719020073 [0.991228,0.921053,0.969697,0.961905,0.982609,0.967442,0.976077,0.964912,0.957346,0.961538]
f_measure
0.9636172677269825 [0.964912,0.935622,0.954955,0.971698,0.991304,0.957746,0.966184,0.956897,0.956938,0.981132]
f_measure
0.9564251184760577 [0.95614,0.95614,0.947826,0.971429,0.964602,0.957346,0.966825,0.969432,0.941748,0.931507]
f_measure
0.9499933481729383 [0.99115,0.924444,0.949153,0.976077,0.960352,0.922374,0.963303,0.946903,0.92233,0.941748]
f_measure
0.9653946195490912 [0.991304,0.935065,0.933333,0.967442,0.963964,0.961905,0.976526,0.973451,0.990566,0.962617]
f_measure
0.9663190738861661 [0.991228,0.939655,0.955752,0.957746,0.987013,0.956098,0.976303,0.969432,0.981132,0.947867]
f_measure
0.9635673521458786 [0.982609,0.924444,0.961702,0.952381,0.973913,0.962264,0.980769,0.973451,0.961905,0.962264]
kappa
0.9696916539080778
kappa
0.9565569200785099
kappa
0.9555066050921364
kappa
0.9615737094316568
kappa
0.9595510869955273
kappa
0.9514634927294608
kappa
0.944384893890113
kappa
0.9615771034056366
kappa
0.9625846177628061
kappa
0.9595509381219527
kb_relative_information_score
0.9715434274073611
kb_relative_information_score
0.9591624976455548
kb_relative_information_score
0.958070071418456
kb_relative_information_score
0.9638408853665322
kb_relative_information_score
0.9619683836897791
kb_relative_information_score
0.9543219210407493
kb_relative_information_score
0.9476125674543033
kb_relative_information_score
0.9640167016757811
kb_relative_information_score
0.964671177739463
kb_relative_information_score
0.9618830221336423
mean_absolute_error
0.005454545454545457
mean_absolute_error
0.00781818181818182
mean_absolute_error
0.008007279344858963
mean_absolute_error
0.006915377616014563
mean_absolute_error
0.007279344858962696
mean_absolute_error
0.00873521383075523
mean_absolute_error
0.010009099181073696
mean_absolute_error
0.006915377616014563
mean_absolute_error
0.006733393994540495
mean_absolute_error
0.007279344858962696
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
0.9728510095174976 [0.966102,0.955357,0.974138,0.953704,0.981982,0.980583,1,0.973684,0.980583,0.963303]
precision
0.9614329418166666 [1,0.889831,0.931624,0.962264,0.974138,0.970874,0.971154,0.973451,0.963303,0.980583]
precision
0.9600942732436376 [0.990991,0.963964,0.957265,0.961905,0.957627,0.951923,0.954128,0.956522,0.953271,0.95098]
precision
0.9654602512798206 [0.991228,0.929204,0.957265,0.961905,0.982609,0.954128,0.980769,0.973451,0.95283,0.970874]
precision
0.9639313096035019 [0.964912,0.923729,0.981481,0.971698,0.991304,0.953271,0.980392,0.940678,0.961538,0.971963]
precision
0.957017957582882 [0.95614,0.964602,0.939655,0.980769,0.981982,0.961905,0.962264,0.965217,0.960396,0.894737]
precision
0.9508554164448514 [1,0.936937,0.918033,0.990291,0.973214,0.893805,0.9375,0.955357,0.940594,0.960396]
precision
0.9657324506156331 [0.982759,0.923077,0.945946,0.954128,0.990741,0.971154,0.971963,0.982143,0.990566,0.944954]
precision
0.9665381475570962 [0.991228,0.923729,0.964286,0.953271,0.974359,0.98,0.980952,0.965217,0.981132,0.952381]
precision
0.9638063862449214 [0.974138,0.936937,0.941667,0.952381,0.965517,0.953271,1,0.982143,0.971154,0.962264]
predictive_accuracy
0.9727272727272727
predictive_accuracy
0.9609090909090909
predictive_accuracy
0.9599636032757052
predictive_accuracy
0.9654231119199272
predictive_accuracy
0.9636032757051864
predictive_accuracy
0.9563239308462238
predictive_accuracy
0.9499545040946314
predictive_accuracy
0.9654231119199272
predictive_accuracy
0.9663330300272976
predictive_accuracy
0.9636032757051864
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
0.043442069053355105
relative_absolute_error
0.04449333736886906
relative_absolute_error
0.038426064091296036
relative_absolute_error
0.04044816508086655
relative_absolute_error
0.04853779809703984
relative_absolute_error
0.055615782268408825
relative_absolute_error
0.038425135249351795
relative_absolute_error
0.03741394747963201
relative_absolute_error
0.04044784164975192
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
0.08842048302391149
root_mean_squared_error
0.08948340262226824
root_mean_squared_error
0.08315874948563477
root_mean_squared_error
0.08531907675873372
root_mean_squared_error
0.0934623658525464
root_mean_squared_error
0.10004548556068733
root_mean_squared_error
0.08315874948563477
root_mean_squared_error
0.08205726046207304
root_mean_squared_error
0.08531907675873372
root_relative_squared_error
0.24620488634733756
root_relative_squared_error
0.2947611677633341
root_relative_squared_error
0.2983081664220333
root_relative_squared_error
0.27722385776639685
root_relative_squared_error
0.2844234023919125
root_relative_squared_error
0.31157022674483853
root_relative_squared_error
0.3335133354032957
root_relative_squared_error
0.2772171566590228
root_relative_squared_error
0.2735452441171482
root_relative_squared_error
0.2844211280885266
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
0.9728587465382079 [0.991304,0.938596,0.982609,0.980952,0.95614,0.961905,1,0.973684,0.95283,0.990566]
unweighted_recall
0.9610272399620874 [0.965217,0.921053,0.947826,0.971429,0.991228,0.952381,0.95283,0.964912,0.990566,0.95283]
unweighted_recall
0.9598542089431946 [0.956522,0.938596,0.973913,0.961905,0.991228,0.942857,0.990476,0.956522,0.971429,0.915094]
unweighted_recall
0.9654609246660539 [0.991228,0.913043,0.982456,0.961905,0.982609,0.981132,0.971429,0.956522,0.961905,0.952381]
unweighted_recall
0.9636751846803225 [0.964912,0.947826,0.929825,0.971698,0.991304,0.962264,0.952381,0.973684,0.952381,0.990476]
unweighted_recall
0.9563378092483055 [0.95614,0.947826,0.95614,0.962264,0.947826,0.95283,0.971429,0.973684,0.92381,0.971429]
unweighted_recall
0.9497847366570651 [0.982456,0.912281,0.982456,0.962264,0.947826,0.95283,0.990566,0.938596,0.904762,0.92381]
unweighted_recall
0.9658542582872274 [1,0.947368,0.921053,0.981132,0.938596,0.95283,0.981132,0.964912,0.990566,0.980952]
unweighted_recall
0.966024495200265 [0.991228,0.95614,0.947368,0.962264,1,0.933333,0.971698,0.973684,0.981132,0.943396]
unweighted_recall
0.9634653903010191 [0.991228,0.912281,0.982609,0.952381,0.982456,0.971429,0.962264,0.964912,0.95283,0.962264]
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
93.75
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
78.125
usercpu_time_millis_training
62.5
usercpu_time_millis_training
78.125
usercpu_time_millis_training
78.125
usercpu_time_millis_training
78.125
usercpu_time_millis_training
78.125
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
78.125
wall_clock_time_millis
74.99933242797852
wall_clock_time_millis
77.99983024597168
wall_clock_time_millis
76.0047435760498
wall_clock_time_millis
74.00155067443848
wall_clock_time_millis
87.99862861633301
wall_clock_time_millis
80.99794387817383
wall_clock_time_millis
72.9677677154541
wall_clock_time_millis
72.0357894897461
wall_clock_time_millis
70.00565528869629
wall_clock_time_millis
79.96845245361328
wall_clock_time_millis_testing
2.0020008087158203
wall_clock_time_millis_testing
2.003908157348633
wall_clock_time_millis_testing
2.0275115966796875
wall_clock_time_millis_testing
2.0046234130859375
wall_clock_time_millis_testing
2.002239227294922
wall_clock_time_millis_testing
2.001047134399414
wall_clock_time_millis_testing
1.0020732879638672
wall_clock_time_millis_testing
2.005338668823242
wall_clock_time_millis_testing
2.000093460083008
wall_clock_time_millis_testing
2.002716064453125
wall_clock_time_millis_training
72.9973316192627
wall_clock_time_millis_training
75.99592208862305
wall_clock_time_millis_training
73.97723197937012
wall_clock_time_millis_training
71.99692726135254
wall_clock_time_millis_training
85.99638938903809
wall_clock_time_millis_training
78.99689674377441
wall_clock_time_millis_training
71.96569442749023
wall_clock_time_millis_training
70.03045082092285
wall_clock_time_millis_training
68.00556182861328
wall_clock_time_millis_training
77.96573638916016
weighted_recall
0.9727272727272728 [0.991304,0.938596,0.982609,0.980952,0.95614,0.961905,1,0.973684,0.95283,0.990566]
weighted_recall
0.9609090909090909 [0.965217,0.921053,0.947826,0.971429,0.991228,0.952381,0.95283,0.964912,0.990566,0.95283]
weighted_recall
0.9599636032757052 [0.956522,0.938596,0.973913,0.961905,0.991228,0.942857,0.990476,0.956522,0.971429,0.915094]
weighted_recall
0.9654231119199272 [0.991228,0.913043,0.982456,0.961905,0.982609,0.981132,0.971429,0.956522,0.961905,0.952381]
weighted_recall
0.9636032757051866 [0.964912,0.947826,0.929825,0.971698,0.991304,0.962264,0.952381,0.973684,0.952381,0.990476]
weighted_recall
0.9563239308462238 [0.95614,0.947826,0.95614,0.962264,0.947826,0.95283,0.971429,0.973684,0.92381,0.971429]
weighted_recall
0.9499545040946314 [0.982456,0.912281,0.982456,0.962264,0.947826,0.95283,0.990566,0.938596,0.904762,0.92381]
weighted_recall
0.9654231119199272 [1,0.947368,0.921053,0.981132,0.938596,0.95283,0.981132,0.964912,0.990566,0.980952]
weighted_recall
0.9663330300272975 [0.991228,0.95614,0.947368,0.962264,1,0.933333,0.971698,0.973684,0.981132,0.943396]
weighted_recall
0.9636032757051866 [0.991228,0.912281,0.982609,0.952381,0.982456,0.971429,0.962264,0.964912,0.95283,0.962264]