10591689
32759
Steve De Picker
32
Supervised Classification
19194
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier)(21)
8304463
Python_3.9.7. Sklearn_1.1.3. NumPy_1.23.4. SciPy_1.9.3.
memory
null
19194
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"}}]
19194
verbose
false
19194
add_indicator
false
19195
copy
true
19195
fill_value
null
19195
missing_values
NaN
19195
strategy
"mean"
19195
verbose
"deprecated"
19195
ccp_alpha
0.0
19196
class_weight
null
19196
criterion
"gini"
19196
max_depth
null
19196
max_features
null
19196
max_leaf_nodes
null
19196
min_impurity_decrease
0.0
19196
min_samples_leaf
1
19196
min_samples_split
2
19196
min_weight_fraction_leaf
0.0
19196
random_state
40876
19196
splitter
"best"
19196
openml-python
Sklearn_1.1.3.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
22111060
description
https://api.openml.org/data/download/22111060/description.xml
-1
22111061
predictions
https://api.openml.org/data/download/22111061/predictions.arff
area_under_roc_curve
0.9792213833428676 [0.987744,0.963587,0.977692,0.979554,0.98629,0.977931,0.987529,0.980894,0.978061,0.972911]
average_cost
0
f_measure
0.9626116966195188 [0.9777,0.936021,0.957734,0.963033,0.975098,0.959735,0.978199,0.965427,0.964728,0.948512]
kappa
0.9584470306730959
kb_relative_information_score
0.9608889717611429
mean_absolute_error
0.007478165938864686
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.9626091703056768 [0.978128,0.934383,0.960664,0.963033,0.975524,0.96019,0.977273,0.965849,0.959242,0.951659]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9626250512801083 [0.977273,0.937665,0.954822,0.963033,0.974672,0.95928,0.979127,0.965004,0.970278,0.945386]
predictive_accuracy
0.9626091703056768
prior_entropy
3.320771739846944
relative_absolute_error
0.041552758891091356
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.08647638948790985
root_relative_squared_error
0.28828029974864366
total_cost
0
unweighted_recall
0.9625945084383618 [0.978128,0.934383,0.960664,0.963033,0.975524,0.96019,0.977273,0.965849,0.959242,0.951659]
area_under_roc_curve
0.9828177342658215 [0.993114,0.963391,0.989274,0.987964,0.971656,0.980952,0.998994,0.985321,0.980629,0.977611]
area_under_roc_curve
0.978755322849266 [0.982609,0.957813,0.966012,0.978942,0.993586,0.969419,0.981132,0.9892,0.994277,0.974906]
area_under_roc_curve
0.977270705923238 [0.977753,0.970131,0.980576,0.97894,0.99797,0.972166,0.987458,0.972389,0.97894,0.955533]
area_under_roc_curve
0.981798863232977 [0.995106,0.96166,0.989705,0.97894,0.990288,0.992765,0.984708,0.971372,0.978437,0.975184]
area_under_roc_curve
0.98178152915909 [0.980933,0.974196,0.972161,0.985346,0.994636,0.982828,0.97619,0.983796,0.984205,0.983702]
area_under_roc_curve
0.9777650476909008 [0.971146,0.971881,0.974517,0.975408,0.976736,0.970691,0.988967,0.994599,0.968913,0.984943]
area_under_roc_curve
0.9717314744796113 [0.985827,0.953602,0.98869,0.974401,0.98978,0.975593,0.992262,0.967268,0.944601,0.942589]
area_under_roc_curve
0.9797598139637587 [0.998477,0.960344,0.966253,0.983835,0.960019,0.980629,0.993772,0.97941,0.990063,0.987458]
area_under_roc_curve
0.9833069976594272 [0.994599,0.975024,0.971146,0.973897,0.998985,0.975184,0.995283,0.989198,0.989559,0.96918]
area_under_roc_curve
0.9772319108306412 [0.99797,0.947693,0.978544,0.977934,0.989198,0.97894,0.976415,0.976547,0.970691,0.978111]
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
0.9690638578028663 [0.974359,0.950673,0.974138,0.967136,0.955752,0.980583,0.990654,0.973684,0.976077,0.948837]
f_measure
0.9619887419043995 [0.982301,0.905983,0.93913,0.961905,0.978355,0.951923,0.980769,0.973913,0.985915,0.961905]
f_measure
0.959016932800111 [0.973451,0.943231,0.965217,0.961905,0.982759,0.938967,0.962617,0.960352,0.961905,0.937198]
f_measure
0.9672141443869154 [0.991228,0.934498,0.978166,0.961905,0.982609,0.972222,0.976077,0.951965,0.957346,0.966184]
f_measure
0.96730897424609 [0.969163,0.944206,0.96,0.980952,0.987013,0.95814,0.97561,0.961039,0.971429,0.966825]
f_measure
0.9600373441457054 [0.951542,0.95614,0.947826,0.966507,0.964912,0.961538,0.976303,0.9869,0.947368,0.940639]
f_measure
0.9489037824740275 [0.977974,0.932735,0.969697,0.957346,0.978355,0.931507,0.967742,0.951111,0.917073,0.899522]
f_measure
0.9635637123183194 [0.987013,0.925764,0.942731,0.967136,0.954545,0.976077,0.981308,0.956522,0.985782,0.962617]
f_measure
0.9699380896840373 [0.9869,0.951965,0.951542,0.95283,0.991304,0.966184,0.995261,0.973913,0.981132,0.947867]
f_measure
0.9590151575558524 [0.982759,0.915556,0.948718,0.95283,0.973913,0.961905,0.975845,0.964602,0.961538,0.953271]
kappa
0.9656504149044135
kappa
0.9575660160734787
kappa
0.9544960196093587
kappa
0.9635960452887132
kappa
0.9635953418526589
kappa
0.9555079151120905
kappa
0.9433748563531693
kappa
0.959553952598263
kappa
0.9666298310006635
kappa
0.9544945122893802
kb_relative_information_score
0.9677381190232133
kb_relative_information_score
0.9600723281620752
kb_relative_information_score
0.9571037210875828
kb_relative_information_score
0.9657452082189389
kb_relative_information_score
0.9657487818589878
kb_relative_information_score
0.9581310302522003
kb_relative_information_score
0.9465606433788772
kb_relative_information_score
0.962140046046172
kb_relative_information_score
0.9685078384779995
kb_relative_information_score
0.957136452292723
mean_absolute_error
0.006181818181818185
mean_absolute_error
0.007636363636363638
mean_absolute_error
0.00818926296633303
mean_absolute_error
0.006551410373066427
mean_absolute_error
0.006551410373066427
mean_absolute_error
0.008007279344858963
mean_absolute_error
0.010191082802547763
mean_absolute_error
0.007279344858962696
mean_absolute_error
0.006005459508644225
mean_absolute_error
0.00818926296633303
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
0.9694244184615742 [0.957983,0.972477,0.965812,0.953704,0.964286,1,0.981481,0.973684,0.990291,0.93578]
precision
0.962504417270896 [1,0.883333,0.93913,0.961905,0.965812,0.961165,1,0.965517,0.981308,0.971154]
precision
0.9593489131147804 [0.990991,0.93913,0.965217,0.961905,0.966102,0.925926,0.944954,0.973214,0.961905,0.960396]
precision
0.9673082415770003 [0.991228,0.938596,0.973913,0.961905,0.982609,0.954545,0.980769,0.95614,0.95283,0.980392]
precision
0.9676528574199474 [0.973451,0.932203,0.972973,0.990385,0.982759,0.944954,1,0.948718,0.971429,0.962264]
precision
0.9605840778737156 [0.955752,0.964602,0.939655,0.980583,0.973451,0.980392,0.971698,0.982609,0.951923,0.903509]
precision
0.9493324288362858 [0.982301,0.954128,0.957265,0.961905,0.974138,0.902655,0.945946,0.963964,0.94,0.903846]
precision
0.9639713697682918 [0.974359,0.921739,0.946903,0.962617,0.990566,0.990291,0.972222,0.948276,0.990476,0.944954]
precision
0.9699930146757161 [0.982609,0.947826,0.955752,0.95283,0.982759,0.980392,1,0.965517,0.981132,0.952381]
precision
0.9593707988417562 [0.966102,0.927928,0.932773,0.943925,0.965517,0.961905,1,0.973214,0.980392,0.944444]
predictive_accuracy
0.9690909090909091
predictive_accuracy
0.9618181818181819
predictive_accuracy
0.9590536851683349
predictive_accuracy
0.9672429481346678
predictive_accuracy
0.9672429481346678
predictive_accuracy
0.9599636032757052
predictive_accuracy
0.949044585987261
predictive_accuracy
0.9636032757051864
predictive_accuracy
0.9699727024567788
predictive_accuracy
0.9590536851683349
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
0.03434954297242033
relative_absolute_error
0.04243178837769568
relative_absolute_error
0.04550454958179791
relative_absolute_error
0.036403639665438345
relative_absolute_error
0.0364033485727799
relative_absolute_error
0.044492981588953186
relative_absolute_error
0.056626978309652624
relative_absolute_error
0.04044751078879136
relative_absolute_error
0.03336919640075287
relative_absolute_error
0.045503821855970884
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
0.07862453931068966
root_mean_squared_error
0.08738628975053031
root_mean_squared_error
0.09049454661101425
root_mean_squared_error
0.08094078312610045
root_mean_squared_error
0.08094078312610045
root_mean_squared_error
0.08948340262226824
root_mean_squared_error
0.10095089302501371
root_mean_squared_error
0.08531907675873372
root_mean_squared_error
0.07749489988795537
root_mean_squared_error
0.09049454661101425
root_relative_squared_error
0.2621051167047541
root_relative_squared_error
0.2913135501239644
root_relative_squared_error
0.30167898716009517
root_relative_squared_error
0.2698298890693037
root_relative_squared_error
0.269827731423908
root_relative_squared_error
0.29830578105529715
root_relative_squared_error
0.3365316171541835
root_relative_squared_error
0.2844188015587562
root_relative_squared_error
0.2583362055754057
root_relative_squared_error
0.3016741625761871
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
0.9692175681204652 [0.991304,0.929825,0.982609,0.980952,0.947368,0.961905,1,0.973684,0.962264,0.962264]
unweighted_recall
0.9618278880137175 [0.965217,0.929825,0.93913,0.961905,0.991228,0.942857,0.962264,0.982456,0.990566,0.95283]
unweighted_recall
0.9589170835209435 [0.956522,0.947368,0.965217,0.961905,1,0.952381,0.980952,0.947826,0.961905,0.915094]
unweighted_recall
0.9672738861098604 [0.991228,0.930435,0.982456,0.961905,0.982609,0.990566,0.971429,0.947826,0.961905,0.952381]
unweighted_recall
0.9672425320890413 [0.964912,0.956522,0.947368,0.971698,0.991304,0.971698,0.952381,0.973684,0.971429,0.971429]
unweighted_recall
0.9600072988048464 [0.947368,0.947826,0.95614,0.95283,0.956522,0.943396,0.980952,0.991228,0.942857,0.980952]
unweighted_recall
0.9485762807346505 [0.973684,0.912281,0.982456,0.95283,0.982609,0.962264,0.990566,0.938596,0.895238,0.895238]
unweighted_recall
0.9640998723223152 [1,0.929825,0.938596,0.971698,0.921053,0.962264,0.990566,0.964912,0.981132,0.980952]
unweighted_recall
0.969749846313898 [0.991228,0.95614,0.947368,0.95283,1,0.952381,0.990566,0.982456,0.981132,0.943396]
unweighted_recall
0.9589622744309502 [1,0.903509,0.965217,0.961905,0.982456,0.961905,0.95283,0.95614,0.943396,0.962264]
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
62.5
usercpu_time_millis
78.125
usercpu_time_millis
62.5
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_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
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
78.125
usercpu_time_millis_training
78.125
usercpu_time_millis_training
62.5
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
62.5
usercpu_time_millis_training
62.5
wall_clock_time_millis
69.84400749206543
wall_clock_time_millis
68.81356239318848
wall_clock_time_millis
68.817138671875
wall_clock_time_millis
67.81888008117676
wall_clock_time_millis
67.84892082214355
wall_clock_time_millis
73.83298873901367
wall_clock_time_millis
78.79114151000977
wall_clock_time_millis
69.84591484069824
wall_clock_time_millis
66.85543060302734
wall_clock_time_millis
68.84503364562988
wall_clock_time_millis_testing
2.0263195037841797
wall_clock_time_millis_testing
0.9973049163818359
wall_clock_time_millis_testing
0.9984970092773438
wall_clock_time_millis_testing
0.9977817535400391
wall_clock_time_millis_testing
2.0253658294677734
wall_clock_time_millis_testing
2.024412155151367
wall_clock_time_millis_testing
0.9665489196777344
wall_clock_time_millis_testing
0.9992122650146484
wall_clock_time_millis_testing
1.9965171813964844
wall_clock_time_millis_testing
2.0258426666259766
wall_clock_time_millis_training
67.81768798828125
wall_clock_time_millis_training
67.81625747680664
wall_clock_time_millis_training
67.81864166259766
wall_clock_time_millis_training
66.82109832763672
wall_clock_time_millis_training
65.82355499267578
wall_clock_time_millis_training
71.8085765838623
wall_clock_time_millis_training
77.82459259033203
wall_clock_time_millis_training
68.8467025756836
wall_clock_time_millis_training
64.85891342163086
wall_clock_time_millis_training
66.8191909790039
weighted_recall
0.9690909090909091 [0.991304,0.929825,0.982609,0.980952,0.947368,0.961905,1,0.973684,0.962264,0.962264]
weighted_recall
0.9618181818181818 [0.965217,0.929825,0.93913,0.961905,0.991228,0.942857,0.962264,0.982456,0.990566,0.95283]
weighted_recall
0.9590536851683349 [0.956522,0.947368,0.965217,0.961905,1,0.952381,0.980952,0.947826,0.961905,0.915094]
weighted_recall
0.9672429481346679 [0.991228,0.930435,0.982456,0.961905,0.982609,0.990566,0.971429,0.947826,0.961905,0.952381]
weighted_recall
0.9672429481346679 [0.964912,0.956522,0.947368,0.971698,0.991304,0.971698,0.952381,0.973684,0.971429,0.971429]
weighted_recall
0.9599636032757052 [0.947368,0.947826,0.95614,0.95283,0.956522,0.943396,0.980952,0.991228,0.942857,0.980952]
weighted_recall
0.9490445859872612 [0.973684,0.912281,0.982456,0.95283,0.982609,0.962264,0.990566,0.938596,0.895238,0.895238]
weighted_recall
0.9636032757051866 [1,0.929825,0.938596,0.971698,0.921053,0.962264,0.990566,0.964912,0.981132,0.980952]
weighted_recall
0.9699727024567789 [0.991228,0.95614,0.947368,0.95283,1,0.952381,0.990566,0.982456,0.981132,0.943396]
weighted_recall
0.9590536851683349 [1,0.903509,0.965217,0.961905,0.982456,0.961905,0.95283,0.95614,0.943396,0.962264]