10591688
32759
Steve De Picker
32
Supervised Classification
19194
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier)(21)
8304462
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
19279
19196
splitter
"best"
19196
openml-python
Sklearn_1.1.3.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
22111058
description
https://api.openml.org/data/download/22111058/description.xml
-1
22111059
predictions
https://api.openml.org/data/download/22111059/predictions.arff
area_under_roc_curve
0.979471609285726 [0.989056,0.965521,0.977875,0.979454,0.988292,0.974966,0.985635,0.978807,0.978334,0.976581]
average_cost
0
f_measure
0.9630770047173264 [0.979039,0.9363,0.956106,0.962121,0.979021,0.959466,0.976258,0.964004,0.963386,0.955125]
kappa
0.9589521727607099
kb_relative_information_score
0.961349380271923
mean_absolute_error
0.007387190684133972
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.9630640465793304 [0.980752,0.938758,0.961538,0.963033,0.979021,0.953555,0.973485,0.961471,0.96019,0.958294]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9631124809338772 [0.977332,0.933856,0.950735,0.961211,0.979021,0.965451,0.979048,0.966549,0.966603,0.951977]
predictive_accuracy
0.9630640465793304
prior_entropy
3.320771739846944
relative_absolute_error
0.04104725087538464
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.0859487677871764
root_relative_squared_error
0.2865214041363032
total_cost
0
unweighted_recall
0.9630096543661523 [0.980752,0.938758,0.961538,0.963033,0.979021,0.953555,0.973485,0.961471,0.96019,0.958294]
area_under_roc_curve
0.9838380457908427 [0.997462,0.972163,0.989782,0.983202,0.977563,0.979445,0.998994,0.984814,0.971698,0.982831]
area_under_roc_curve
0.9747235209602311 [0.982609,0.956799,0.952968,0.982699,0.993586,0.969921,0.979623,0.980428,0.989057,0.960252]
area_under_roc_curve
0.9787879114180342 [0.977753,0.972669,0.987747,0.982696,0.99797,0.964655,0.992723,0.968041,0.982193,0.960754]
area_under_roc_curve
0.9817891551557821 [0.994599,0.969848,0.985319,0.974178,0.98594,0.992765,0.985211,0.971372,0.97894,0.979946]
area_under_roc_curve
0.9802668562964284 [0.984812,0.974196,0.96676,0.984338,0.994128,0.978614,0.970423,0.980933,0.97894,0.98947]
area_under_roc_curve
0.9777660701230605 [0.975024,0.976228,0.980933,0.975408,0.981592,0.966478,0.984205,0.983796,0.96841,0.984943]
area_under_roc_curve
0.9737302467446968 [0.986334,0.946678,0.983796,0.979118,0.986448,0.978614,0.993269,0.962374,0.953622,0.966901]
area_under_roc_curve
0.9822805137396784 [0.998477,0.960344,0.965237,0.984842,0.973177,0.980125,0.994276,0.985319,0.994779,0.988464]
area_under_roc_curve
0.9827998900102863 [0.995106,0.978903,0.983796,0.974401,0.998477,0.960396,0.985849,0.985319,0.989559,0.973897]
area_under_roc_curve
0.9787460585211541 [0.998477,0.947186,0.982383,0.973675,0.994091,0.978437,0.971698,0.985827,0.975912,0.978614]
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
0.9708831579120647 [0.978723,0.96,0.978355,0.962264,0.973214,0.966507,0.990654,0.969432,0.970874,0.95814]
f_measure
0.9546994925891925 [0.982301,0.898305,0.92511,0.957746,0.978355,0.956522,0.966825,0.964912,0.976526,0.942308]
f_measure
0.9617084245251923 [0.973451,0.964286,0.961702,0.957746,0.982759,0.94686,0.971963,0.955752,0.953271,0.94686]
f_measure
0.9672592430210285 [0.9869,0.939655,0.973684,0.956938,0.978166,0.972222,0.980769,0.951965,0.961905,0.971154]
f_measure
0.9645051476065015 [0.969432,0.944206,0.946903,0.971698,0.982759,0.957746,0.961165,0.969163,0.961905,0.980952]
f_measure
0.9600741158124158 [0.951965,0.960699,0.969163,0.966507,0.973684,0.961165,0.971429,0.961039,0.942857,0.940639]
f_measure
0.9526615082965068 [0.982301,0.907489,0.961039,0.962264,0.982456,0.957746,0.976744,0.942222,0.923077,0.929577]
f_measure
0.9681581424470436 [0.987013,0.925764,0.934498,0.976303,0.96861,0.971429,0.985915,0.973684,0.990566,0.971698]
f_measure
0.9690376216498552 [0.991228,0.952381,0.961039,0.957346,0.987013,0.946341,0.985646,0.973684,0.981132,0.95283]
f_measure
0.9617718728225131 [0.987013,0.911504,0.949153,0.952381,0.982609,0.957346,0.970874,0.977974,0.971154,0.957746]
kappa
0.967670800579354
kappa
0.9494846979965632
kappa
0.9575298136880275
kappa
0.9635953753502303
kappa
0.9605615840512779
kappa
0.955507219173595
kappa
0.947419993246706
kappa
0.9646088619078551
kappa
0.9656175381288675
kappa
0.9575271562849375
kb_relative_information_score
0.9695563119305336
kb_relative_information_score
0.9524895086873727
kb_relative_information_score
0.9599734780295752
kb_relative_information_score
0.9657458188423724
kb_relative_information_score
0.9628781982115443
kb_relative_information_score
0.9580738849571376
kb_relative_information_score
0.950538735416028
kb_relative_information_score
0.9668583660170511
kb_relative_information_score
0.9674566165548617
kb_relative_information_score
0.9599232311115994
mean_absolute_error
0.005818181818181821
mean_absolute_error
0.009090909090909087
mean_absolute_error
0.00764331210191083
mean_absolute_error
0.006551410373066427
mean_absolute_error
0.00709736123748863
mean_absolute_error
0.008007279344858963
mean_absolute_error
0.009463148316651496
mean_absolute_error
0.00636942675159236
mean_absolute_error
0.006187443130118293
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
0.9712893815775862 [0.958333,0.972973,0.974138,0.953271,0.990909,0.971154,0.981481,0.965217,1,0.944954]
precision
0.9553502536477181 [1,0.868852,0.9375,0.944444,0.965812,0.970588,0.971429,0.964912,0.971963,0.960784]
precision
0.9622850411273605 [0.990991,0.981818,0.941667,0.944444,0.966102,0.960784,0.954128,0.972973,0.93578,0.970297]
precision
0.967404771745678 [0.982609,0.931624,0.973684,0.961538,0.982456,0.954545,0.990291,0.95614,0.961905,0.980583]
precision
0.9646416207050086 [0.965217,0.932203,0.955357,0.971698,0.974359,0.953271,0.980198,0.973451,0.961905,0.980952]
precision
0.9607453631213683 [0.947826,0.964912,0.973451,0.980583,0.982301,0.99,0.971429,0.948718,0.942857,0.903509]
precision
0.9528349022480193 [0.991071,0.911504,0.948718,0.962264,0.99115,0.953271,0.963303,0.954955,0.932039,0.916667]
precision
0.9683483406648432 [0.974359,0.921739,0.930435,0.980952,0.990826,0.980769,0.981308,0.973684,0.990566,0.962617]
precision
0.9692649328227125 [0.991228,0.940171,0.948718,0.961905,0.974359,0.97,1,0.973684,0.981132,0.95283]
precision
0.9621939926322475 [0.974359,0.919643,0.92562,0.952381,0.974138,0.95283,1,0.982301,0.990196,0.953271]
predictive_accuracy
0.9709090909090909
predictive_accuracy
0.9545454545454546
predictive_accuracy
0.9617834394904459
predictive_accuracy
0.9672429481346678
predictive_accuracy
0.9645131938125568
predictive_accuracy
0.9599636032757052
predictive_accuracy
0.9526842584167424
predictive_accuracy
0.9681528662420382
predictive_accuracy
0.9690627843494086
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
0.03232898162110148
relative_absolute_error
0.050514033782971014
relative_absolute_error
0.04247091294301139
relative_absolute_error
0.036403639665438345
relative_absolute_error
0.0394369609538449
relative_absolute_error
0.044492981588953186
relative_absolute_error
0.05258219414467744
relative_absolute_error
0.035391571940192434
relative_absolute_error
0.03438038417047266
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
0.07627700713964741
root_mean_squared_error
0.09534625892455921
root_mean_squared_error
0.08742603789438722
root_mean_squared_error
0.08094078312610045
root_mean_squared_error
0.0842458381018827
root_mean_squared_error
0.08948340262226824
root_mean_squared_error
0.09727871461245516
root_mean_squared_error
0.07980868844676223
root_mean_squared_error
0.078660302123233
root_mean_squared_error
0.08742603789438722
root_relative_squared_error
0.25427931322083425
root_relative_squared_error
0.3178491415260426
root_relative_squared_error
0.2914495906230524
root_relative_squared_error
0.2698298890693037
root_relative_squared_error
0.2808456071091143
root_relative_squared_error
0.29830578105529715
root_relative_squared_error
0.324289980625512
root_relative_squared_error
0.266049427447428
root_relative_squared_error
0.26222117854609167
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
0.9708229351064288 [1,0.947368,0.982609,0.971429,0.95614,0.961905,1,0.973684,0.943396,0.971698]
unweighted_recall
0.9546436024433522 [0.965217,0.929825,0.913043,0.971429,0.991228,0.942857,0.962264,0.964912,0.981132,0.924528]
unweighted_recall
0.9616824259171309 [0.956522,0.947368,0.982609,0.971429,1,0.933333,0.990476,0.93913,0.971429,0.924528]
unweighted_recall
0.9672662583447955 [0.991228,0.947826,0.973684,0.952381,0.973913,0.990566,0.971429,0.947826,0.961905,0.961905]
unweighted_recall
0.964469561927789 [0.973684,0.956522,0.938596,0.971698,0.991304,0.962264,0.942857,0.964912,0.961905,0.980952]
unweighted_recall
0.9598506520608329 [0.95614,0.956522,0.964912,0.95283,0.965217,0.933962,0.971429,0.973684,0.942857,0.980952]
unweighted_recall
0.9526851994629725 [0.973684,0.903509,0.973684,0.962264,0.973913,0.962264,0.990566,0.929825,0.914286,0.942857]
unweighted_recall
0.9685520404785549 [1,0.929825,0.938596,0.971698,0.947368,0.962264,0.990566,0.973684,0.990566,0.980952]
unweighted_recall
0.9685808861777085 [0.991228,0.964912,0.973684,0.95283,1,0.92381,0.971698,0.973684,0.981132,0.95283]
unweighted_recall
0.9615110376433289 [1,0.903509,0.973913,0.952381,0.991228,0.961905,0.943396,0.973684,0.95283,0.962264]
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
62.5
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis_testing
15.625
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_training
62.5
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
62.5
usercpu_time_millis_training
62.5
wall_clock_time_millis
70.77860832214355
wall_clock_time_millis
71.8388557434082
wall_clock_time_millis
71.51913642883301
wall_clock_time_millis
67.78836250305176
wall_clock_time_millis
71.49457931518555
wall_clock_time_millis
67.81935691833496
wall_clock_time_millis
90.5919075012207
wall_clock_time_millis
70.78003883361816
wall_clock_time_millis
70.81151008605957
wall_clock_time_millis
67.84915924072266
wall_clock_time_millis_testing
1.9953250885009766
wall_clock_time_millis_testing
1.0275840759277344
wall_clock_time_millis_testing
1.9953250885009766
wall_clock_time_millis_testing
1.9955635070800781
wall_clock_time_millis_testing
0.9980201721191406
wall_clock_time_millis_testing
1.9946098327636719
wall_clock_time_millis_testing
2.0265579223632812
wall_clock_time_millis_testing
1.9953250885009766
wall_clock_time_millis_testing
1.995086669921875
wall_clock_time_millis_testing
0.9975433349609375
wall_clock_time_millis_training
68.78328323364258
wall_clock_time_millis_training
70.81127166748047
wall_clock_time_millis_training
69.52381134033203
wall_clock_time_millis_training
65.79279899597168
wall_clock_time_millis_training
70.4965591430664
wall_clock_time_millis_training
65.82474708557129
wall_clock_time_millis_training
88.56534957885742
wall_clock_time_millis_training
68.78471374511719
wall_clock_time_millis_training
68.8164234161377
wall_clock_time_millis_training
66.85161590576172
weighted_recall
0.9709090909090909 [1,0.947368,0.982609,0.971429,0.95614,0.961905,1,0.973684,0.943396,0.971698]
weighted_recall
0.9545454545454546 [0.965217,0.929825,0.913043,0.971429,0.991228,0.942857,0.962264,0.964912,0.981132,0.924528]
weighted_recall
0.9617834394904459 [0.956522,0.947368,0.982609,0.971429,1,0.933333,0.990476,0.93913,0.971429,0.924528]
weighted_recall
0.9672429481346679 [0.991228,0.947826,0.973684,0.952381,0.973913,0.990566,0.971429,0.947826,0.961905,0.961905]
weighted_recall
0.9645131938125568 [0.973684,0.956522,0.938596,0.971698,0.991304,0.962264,0.942857,0.964912,0.961905,0.980952]
weighted_recall
0.9599636032757052 [0.95614,0.956522,0.964912,0.95283,0.965217,0.933962,0.971429,0.973684,0.942857,0.980952]
weighted_recall
0.9526842584167425 [0.973684,0.903509,0.973684,0.962264,0.973913,0.962264,0.990566,0.929825,0.914286,0.942857]
weighted_recall
0.9681528662420382 [1,0.929825,0.938596,0.971698,0.947368,0.962264,0.990566,0.973684,0.990566,0.980952]
weighted_recall
0.9690627843494085 [0.991228,0.964912,0.973684,0.95283,1,0.92381,0.971698,0.973684,0.981132,0.95283]
weighted_recall
0.9617834394904459 [1,0.903509,0.973913,0.952381,0.991228,0.961905,0.943396,0.973684,0.95283,0.962264]