10560606
27395
Jake Currant
32
Supervised Classification
18818
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier)(13)
8276994
Python_3.9.1. Sklearn_0.24.2. NumPy_1.21.2. SciPy_1.7.1.
memory
null
18818
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"}}]
18818
verbose
false
18818
add_indicator
false
18819
copy
true
18819
fill_value
null
18819
missing_values
NaN
18819
strategy
"mean"
18819
verbose
0
18819
ccp_alpha
0.0
18820
class_weight
null
18820
criterion
"gini"
18820
max_depth
null
18820
max_features
null
18820
max_leaf_nodes
null
18820
min_impurity_decrease
0.0
18820
min_impurity_split
null
18820
min_samples_leaf
1
18820
min_samples_split
2
18820
min_weight_fraction_leaf
0.0
18820
random_state
58469
18820
splitter
"best"
18820
openml-python
Sklearn_0.24.2.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
22047302
description
https://api.openml.org/data/download/22047302/description.xml
-1
22047303
predictions
https://api.openml.org/data/download/22047303/predictions.arff
area_under_roc_curve
0.9797263106685263 [0.989494,0.96488,0.978078,0.980976,0.988292,0.976388,0.986431,0.9796,0.97791,0.975058]
average_cost
0
f_measure
0.9635339113580363 [0.979485,0.934205,0.957771,0.964505,0.979021,0.960952,0.975841,0.96743,0.963351,0.952741]
kappa
0.9594578821560514
kb_relative_information_score
0.9618296104859553
mean_absolute_error
0.007296215429403257
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.963518922852984 [0.981627,0.937883,0.961538,0.965877,0.979021,0.956398,0.975379,0.962347,0.959242,0.95545]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9635709885561177 [0.977352,0.930556,0.954033,0.963138,0.979021,0.96555,0.976303,0.972566,0.967495,0.950047]
predictive_accuracy
0.963518922852984
prior_entropy
3.320771739846944
relative_absolute_error
0.040541742859677925
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.08541788705770739
root_relative_squared_error
0.2847516441274918
total_cost
0
unweighted_recall
0.9634761874395175 [0.981627,0.937883,0.961538,0.965877,0.979021,0.956398,0.975379,0.962347,0.959242,0.95545]
area_under_roc_curve
0.9858485923120573 [0.997462,0.976042,0.984926,0.987964,0.986335,0.98045,0.999497,0.981442,0.980629,0.983837]
area_under_roc_curve
0.9782584172952821 [0.982609,0.958827,0.964489,0.988466,0.990214,0.974683,0.975409,0.989707,0.98434,0.974403]
area_under_roc_curve
0.9757468408514839 [0.982609,0.970131,0.97572,0.978437,0.992568,0.95939,0.992723,0.971881,0.982696,0.950313]
area_under_roc_curve
0.9833094465551497 [0.994599,0.966008,0.989705,0.975184,0.990288,0.998489,0.984708,0.976228,0.977934,0.979946]
area_under_roc_curve
0.9833212365246972 [0.985319,0.973688,0.981949,0.983835,0.995144,0.982828,0.979946,0.981949,0.979443,0.988967]
area_under_roc_curve
0.9772518056369509 [0.971146,0.967533,0.979918,0.980629,0.988764,0.970188,0.984708,0.984812,0.964152,0.980181]
area_under_roc_curve
0.9752341984020492 [0.990213,0.954943,0.987675,0.981132,0.986448,0.97289,0.991758,0.967775,0.955634,0.962643]
area_under_roc_curve
0.9782482268175176 [0.99797,0.960344,0.961359,0.982828,0.964405,0.975912,0.988552,0.980426,0.993772,0.97894]
area_under_roc_curve
0.9812883028640452 [0.995106,0.96473,0.971146,0.978111,0.999492,0.970926,0.990566,0.984812,0.989055,0.968173]
area_under_roc_curve
0.9787567983345549 [0.99797,0.956465,0.983908,0.973172,0.989198,0.977934,0.976415,0.977055,0.971195,0.983331]
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
0.9745456631765501 [0.978723,0.960352,0.969697,0.967136,0.982301,0.975845,0.995305,0.973451,0.976077,0.967136]
f_measure
0.9610687715939379 [0.982301,0.913793,0.927039,0.971698,0.982456,0.961538,0.966507,0.978166,0.971698,0.957346]
f_measure
0.9562235245130342 [0.982301,0.943231,0.956522,0.957346,0.969957,0.937198,0.971963,0.95614,0.957746,0.927536]
f_measure
0.9699493941071429 [0.9869,0.93913,0.978166,0.966184,0.982609,0.986047,0.976077,0.960699,0.95283,0.971154]
f_measure
0.9700623019576444 [0.973684,0.940171,0.977778,0.967136,0.991304,0.95814,0.971154,0.977778,0.966507,0.976303]
f_measure
0.9591172254875384 [0.951542,0.951542,0.960699,0.976077,0.969957,0.956938,0.976077,0.969432,0.942308,0.93578]
f_measure
0.9554717678597667 [0.982456,0.913043,0.961373,0.980769,0.982456,0.943925,0.963303,0.955357,0.941176,0.92891]
f_measure
0.9608260731940553 [0.982759,0.925764,0.933921,0.95814,0.959276,0.971154,0.971963,0.964912,0.981308,0.961905]
f_measure
0.9663848009293148 [0.991228,0.930435,0.951542,0.953271,0.995633,0.965854,0.990476,0.969432,0.976526,0.938967]
f_measure
0.9617835212302895 [0.982759,0.92511,0.961373,0.947867,0.973913,0.95283,0.975845,0.968889,0.966184,0.962617]
kappa
0.9717117166763103
kappa
0.9565566008708887
kappa
0.9514615723646013
kappa
0.9666291554830891
kappa
0.966630352972785
kappa
0.9544953915715031
kappa
0.9504509934000293
kappa
0.9565203390267151
kappa
0.9625854439959405
kappa
0.9575282896298655
kb_relative_information_score
0.9733894179141196
kb_relative_information_score
0.9591356154110237
kb_relative_information_score
0.95423298965249
kb_relative_information_score
0.9685883916266727
kb_relative_information_score
0.9685903200370325
kb_relative_information_score
0.9571350543970962
kb_relative_information_score
0.9532970514409363
kb_relative_information_score
0.9592415171023938
kb_relative_information_score
0.9647270976763747
kb_relative_information_score
0.9599507188611973
mean_absolute_error
0.005090909090909093
mean_absolute_error
0.00781818181818182
mean_absolute_error
0.00873521383075523
mean_absolute_error
0.006005459508644225
mean_absolute_error
0.006005459508644225
mean_absolute_error
0.00818926296633303
mean_absolute_error
0.008917197452229297
mean_absolute_error
0.007825295723384897
mean_absolute_error
0.006733393994540495
mean_absolute_error
0.00764331210191083
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
0.974800842105316 [0.958333,0.964602,0.965517,0.953704,0.991071,0.990196,0.990654,0.982143,0.990291,0.962617]
precision
0.9614611546985004 [1,0.898305,0.915254,0.962617,0.982456,0.970874,0.980583,0.973913,0.971698,0.961905]
precision
0.9565467816978083 [1,0.93913,0.956522,0.95283,0.94958,0.95098,0.954128,0.964602,0.944444,0.950495]
precision
0.9700511552607117 [0.982609,0.93913,0.973913,0.980392,0.982609,0.972477,0.980769,0.964912,0.943925,0.980583]
precision
0.9703472325096344 [0.973684,0.92437,0.990991,0.962617,0.991304,0.944954,0.980583,0.990991,0.971154,0.971698]
precision
0.9595995695437544 [0.955752,0.964286,0.956522,0.990291,0.957627,0.970874,0.980769,0.965217,0.951456,0.902655]
precision
0.9561012428946881 [0.982456,0.905172,0.941176,1,0.99115,0.935185,0.9375,0.972727,0.969697,0.924528]
precision
0.9611847481205965 [0.966102,0.921739,0.938053,0.944954,0.990654,0.990196,0.962963,0.964912,0.972222,0.961905]
precision
0.9666141691920732 [0.991228,0.922414,0.955752,0.944444,0.991304,0.99,1,0.965217,0.971963,0.934579]
precision
0.9621875264282288 [0.966102,0.929204,0.949153,0.943396,0.965517,0.943925,1,0.981982,0.990099,0.953704]
predictive_accuracy
0.9745454545454545
predictive_accuracy
0.9609090909090909
predictive_accuracy
0.9563239308462238
predictive_accuracy
0.9699727024567788
predictive_accuracy
0.9699727024567788
predictive_accuracy
0.9590536851683349
predictive_accuracy
0.9554140127388535
predictive_accuracy
0.9608735213830755
predictive_accuracy
0.9663330300272976
predictive_accuracy
0.9617834394904459
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
0.028287858918463794
relative_absolute_error
0.043442069053355105
relative_absolute_error
0.04853818622058442
relative_absolute_error
0.033370003026651815
relative_absolute_error
0.03336973619171491
relative_absolute_error
0.045504185715974865
relative_absolute_error
0.04954860602094607
relative_absolute_error
0.0434810740979507
relative_absolute_error
0.03741394747963201
relative_absolute_error
0.04247023373223951
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
0.07135060680126759
root_mean_squared_error
0.08842048302391149
root_mean_squared_error
0.0934623658525464
root_mean_squared_error
0.07749489988795537
root_mean_squared_error
0.07749489988795537
root_mean_squared_error
0.09049454661101425
root_mean_squared_error
0.09443091364711716
root_mean_squared_error
0.08846070157637739
root_mean_squared_error
0.08205726046207304
root_mean_squared_error
0.08742603789438722
root_relative_squared_error
0.23785651765413476
root_relative_squared_error
0.2947611677633341
root_relative_squared_error
0.3115727181791386
root_relative_squared_error
0.258342450277837
root_relative_squared_error
0.25834038448964614
root_relative_squared_error
0.3016765748392071
root_relative_squared_error
0.3147965028019828
root_relative_squared_error
0.29489168991534515
root_relative_squared_error
0.2735452441171482
root_relative_squared_error
0.291444929632182
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
0.974546929259161 [1,0.95614,0.973913,0.980952,0.973684,0.961905,1,0.964912,0.962264,0.971698]
unweighted_recall
0.9609776492091588 [0.965217,0.929825,0.93913,0.980952,0.982456,0.952381,0.95283,0.982456,0.971698,0.95283]
unweighted_recall
0.9561441133596913 [0.965217,0.947368,0.956522,0.961905,0.991228,0.92381,0.990476,0.947826,0.971429,0.90566]
unweighted_recall
0.969956412771058 [0.991228,0.93913,0.982456,0.952381,0.982609,1,0.971429,0.956522,0.961905,0.961905]
unweighted_recall
0.9699492990063346 [0.973684,0.956522,0.964912,0.971698,0.991304,0.971698,0.961905,0.964912,0.961905,0.980952]
unweighted_recall
0.9589554896264451 [0.947368,0.93913,0.964912,0.962264,0.982609,0.943396,0.971429,0.973684,0.933333,0.971429]
unweighted_recall
0.9551753871964571 [0.982456,0.921053,0.982456,0.962264,0.973913,0.95283,0.990566,0.938596,0.914286,0.933333]
unweighted_recall
0.9612517141911383 [1,0.929825,0.929825,0.971698,0.929825,0.95283,0.981132,0.964912,0.990566,0.961905]
unweighted_recall
0.9661658864141487 [0.991228,0.938596,0.947368,0.962264,1,0.942857,0.981132,0.973684,0.981132,0.943396]
unweighted_recall
0.9615772408872878 [1,0.921053,0.973913,0.952381,0.982456,0.961905,0.95283,0.95614,0.943396,0.971698]
usercpu_time_millis
109.375
usercpu_time_millis
93.75
usercpu_time_millis
109.375
usercpu_time_millis
78.125
usercpu_time_millis
93.75
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
109.375
usercpu_time_millis
93.75
usercpu_time_millis
93.75
usercpu_time_millis_testing
0
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_training
109.375
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
78.125
usercpu_time_millis_training
93.75
usercpu_time_millis_training
78.125
usercpu_time_millis_training
78.125
usercpu_time_millis_training
109.375
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
wall_clock_time_millis
99.99966621398926
wall_clock_time_millis
85.00075340270996
wall_clock_time_millis
114.00055885314941
wall_clock_time_millis
84.0001106262207
wall_clock_time_millis
98.00171852111816
wall_clock_time_millis
88.00029754638672
wall_clock_time_millis
87.00037002563477
wall_clock_time_millis
126.9996166229248
wall_clock_time_millis
87.99934387207031
wall_clock_time_millis
100.99935531616211
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
2.001047134399414
wall_clock_time_millis_testing
5.998373031616211
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
4.999876022338867
wall_clock_time_millis_testing
2.001047134399414
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
2.000093460083008
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_training
97.99981117248535
wall_clock_time_millis_training
82.99970626831055
wall_clock_time_millis_training
108.0021858215332
wall_clock_time_millis_training
82.0004940032959
wall_clock_time_millis_training
93.0018424987793
wall_clock_time_millis_training
85.9992504119873
wall_clock_time_millis_training
85.00099182128906
wall_clock_time_millis_training
125
wall_clock_time_millis_training
85.9992504119873
wall_clock_time_millis_training
97.99981117248535
weighted_recall
0.9745454545454545 [1,0.95614,0.973913,0.980952,0.973684,0.961905,1,0.964912,0.962264,0.971698]
weighted_recall
0.9609090909090909 [0.965217,0.929825,0.93913,0.980952,0.982456,0.952381,0.95283,0.982456,0.971698,0.95283]
weighted_recall
0.9563239308462238 [0.965217,0.947368,0.956522,0.961905,0.991228,0.92381,0.990476,0.947826,0.971429,0.90566]
weighted_recall
0.9699727024567789 [0.991228,0.93913,0.982456,0.952381,0.982609,1,0.971429,0.956522,0.961905,0.961905]
weighted_recall
0.9699727024567789 [0.973684,0.956522,0.964912,0.971698,0.991304,0.971698,0.961905,0.964912,0.961905,0.980952]
weighted_recall
0.9590536851683349 [0.947368,0.93913,0.964912,0.962264,0.982609,0.943396,0.971429,0.973684,0.933333,0.971429]
weighted_recall
0.9554140127388535 [0.982456,0.921053,0.982456,0.962264,0.973913,0.95283,0.990566,0.938596,0.914286,0.933333]
weighted_recall
0.9608735213830755 [1,0.929825,0.929825,0.971698,0.929825,0.95283,0.981132,0.964912,0.990566,0.961905]
weighted_recall
0.9663330300272975 [0.991228,0.938596,0.947368,0.962264,1,0.942857,0.981132,0.973684,0.981132,0.943396]
weighted_recall
0.9617834394904459 [1,0.921053,0.973913,0.952381,0.982456,0.961905,0.95283,0.95614,0.943396,0.971698]