10559759
24602
Mohammad Mirkazemi
32
Supervised Classification
18732
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier)(8)
8276268
memory
null
18732
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"}}]
18732
verbose
false
18732
add_indicator
false
18733
copy
true
18733
fill_value
null
18733
missing_values
NaN
18733
strategy
"mean"
18733
verbose
0
18733
ccp_alpha
0.0
18734
class_weight
null
18734
criterion
"gini"
18734
max_depth
null
18734
max_features
null
18734
max_leaf_nodes
null
18734
min_impurity_decrease
0.0
18734
min_impurity_split
null
18734
min_samples_leaf
1
18734
min_samples_split
2
18734
min_weight_fraction_leaf
0.0
18734
presort
"deprecated"
18734
random_state
60558
18734
splitter
"best"
18734
openml-python
Sklearn_0.22.1.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
22045038
description
https://api.openml.org/data/download/22045038/description.xml
-1
22045039
predictions
https://api.openml.org/data/download/22045039/predictions.arff
area_under_roc_curve
0.9788673098103101 [0.988771,0.962521,0.975019,0.980523,0.989166,0.976136,0.985384,0.978775,0.975389,0.976983]
average_cost
0
f_measure
0.962000707235887 [0.979878,0.927486,0.954585,0.960415,0.979913,0.95867,0.973946,0.966946,0.959505,0.958748]
kappa
0.957739310813877
kb_relative_information_score
0.9602238611131991
mean_absolute_error
0.007605531295487686
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.9619723435225619 [0.979878,0.934383,0.95542,0.965877,0.980769,0.956398,0.973485,0.960595,0.954502,0.958294]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9620607462925904 [0.979878,0.92069,0.953752,0.955014,0.979058,0.960952,0.974408,0.973381,0.964559,0.959203]
predictive_accuracy
0.9619723435225619
prior_entropy
3.320771739846944
relative_absolute_error
0.04226047011308075
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.08720969725602587
root_relative_squared_error
0.2907248766378077
total_cost
0
unweighted_recall
0.9619600913716315 [0.979878,0.934383,0.95542,0.965877,0.980769,0.956398,0.973485,0.960595,0.954502,0.958294]
area_under_roc_curve
0.9823080702290254 [0.992606,0.965241,0.985434,0.987461,0.985828,0.979947,0.999497,0.977056,0.975409,0.974906]
area_under_roc_curve
0.9757234351595959 [0.982101,0.951906,0.952461,0.984207,0.994093,0.97418,0.970189,0.985321,0.983837,0.980126]
area_under_roc_curve
0.9797908991351006 [0.978261,0.971146,0.980068,0.983199,0.997462,0.969416,0.994232,0.976736,0.986452,0.960754]
area_under_roc_curve
0.9823182303876895 [0.995106,0.970864,0.989705,0.973675,0.990288,0.998489,0.984205,0.963693,0.982193,0.975184]
area_under_roc_curve
0.9807734480774665 [0.985319,0.960136,0.975532,0.983331,0.990288,0.983835,0.975184,0.981441,0.97894,0.994735]
area_under_roc_curve
0.9787792629891823 [0.975532,0.97572,0.979918,0.974905,0.990288,0.965471,0.97894,0.994599,0.968913,0.98169]
area_under_roc_curve
0.9706927682704738 [0.991228,0.950049,0.983289,0.984338,0.981592,0.970373,0.991255,0.962374,0.927565,0.963146]
area_under_roc_curve
0.9807837280351898 [0.994091,0.96473,0.96676,0.983835,0.973177,0.980629,0.989055,0.980933,0.989559,0.986955]
area_under_roc_curve
0.9812842133235563 [0.995614,0.972994,0.96676,0.977607,0.999492,0.95664,0.990566,0.98869,0.989559,0.973394]
area_under_roc_curve
0.9762274036095544 [0.99797,0.942292,0.970356,0.972669,0.989198,0.982193,0.980629,0.977055,0.971195,0.979118]
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
0.9681904294917029 [0.970213,0.934498,0.973913,0.962617,0.977974,0.971154,0.995305,0.968889,0.966507,0.961905]
f_measure
0.9565889257716808 [0.977974,0.889831,0.921053,0.971429,0.982609,0.956938,0.956938,0.973684,0.967136,0.971429]
f_measure
0.9635678460568412 [0.977778,0.951542,0.961039,0.962264,0.978541,0.951923,0.985782,0.964912,0.953704,0.94686]
f_measure
0.968109516239443 [0.991228,0.947826,0.978166,0.952381,0.982609,0.986047,0.971429,0.951111,0.953271,0.966184]
f_measure
0.9654723639664256 [0.973684,0.922414,0.95614,0.962617,0.982609,0.967136,0.966184,0.973451,0.961905,0.990476]
f_measure
0.9617775641277378 [0.95614,0.956522,0.960699,0.961905,0.982609,0.951923,0.961905,0.9869,0.947368,0.948837]
f_measure
0.947147077766491 [0.99115,0.904348,0.956897,0.971698,0.973684,0.922374,0.958904,0.942222,0.913706,0.933333]
f_measure
0.9654566882142783 [0.982609,0.930435,0.946903,0.967136,0.96861,0.976077,0.976526,0.969163,0.981132,0.95814]
f_measure
0.9663769830209816 [0.995595,0.935622,0.946903,0.948837,0.995633,0.950495,0.990476,0.969697,0.981132,0.948357]
f_measure
0.9572104931129346 [0.982759,0.902655,0.943723,0.943396,0.973913,0.953271,0.976077,0.968889,0.966184,0.962264]
kappa
0.964639483460922
kappa
0.9515048201269692
kappa
0.9595519802139624
kappa
0.9646082757656169
kappa
0.9615738155024195
kappa
0.9575286804244372
kappa
0.9413505871658059
kappa
0.9615765731367233
kappa
0.9625845144810986
kappa
0.9524734018326811
kb_relative_information_score
0.9667433405943605
kb_relative_information_score
0.9544213918752625
kb_relative_information_score
0.9619074581900015
kb_relative_information_score
0.966710976133873
kb_relative_information_score
0.963900165289921
kb_relative_information_score
0.9598944020066683
kb_relative_information_score
0.9447130004884136
kb_relative_information_score
0.9639876586557713
kb_relative_information_score
0.9646714542052693
kb_relative_information_score
0.9552884752916775
mean_absolute_error
0.0063636363636363664
mean_absolute_error
0.008727272727272726
mean_absolute_error
0.007279344858962696
mean_absolute_error
0.00636942675159236
mean_absolute_error
0.006915377616014563
mean_absolute_error
0.00764331210191083
mean_absolute_error
0.010555050045495897
mean_absolute_error
0.006915377616014563
mean_absolute_error
0.006733393994540495
mean_absolute_error
0.008553230209281164
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
0.968475056038719 [0.95,0.930435,0.973913,0.944954,0.982301,0.980583,0.990654,0.981982,0.980583,0.971154]
precision
0.9571556191468384 [0.991071,0.860656,0.929204,0.971429,0.974138,0.961538,0.970874,0.973684,0.962617,0.980769]
precision
0.9640349553190484 [1,0.955752,0.956897,0.953271,0.957983,0.961165,0.981132,0.973451,0.927928,0.970297]
precision
0.9683078701838315 [0.991228,0.947826,0.973913,0.952381,0.982609,0.972477,0.971429,0.972727,0.93578,0.980392]
precision
0.9656108991137186 [0.973684,0.91453,0.95614,0.953704,0.982609,0.962617,0.980392,0.982143,0.961905,0.990476]
precision
0.961966414594414 [0.95614,0.956522,0.956522,0.971154,0.982609,0.970588,0.961905,0.982609,0.951923,0.927273]
precision
0.9483439314645488 [1,0.896552,0.940678,0.971698,0.982301,0.893805,0.929204,0.954955,0.978261,0.933333]
precision
0.9657867759513887 [0.974138,0.922414,0.955357,0.962617,0.990826,0.990291,0.971963,0.973451,0.981132,0.936364]
precision
0.9669099583469788 [1,0.915966,0.955357,0.93578,0.991304,0.989691,1,0.957265,0.981132,0.943925]
precision
0.9575444665822512 [0.966102,0.910714,0.939655,0.934579,0.965517,0.93578,0.990291,0.981982,0.990099,0.962264]
predictive_accuracy
0.9681818181818181
predictive_accuracy
0.9563636363636364
predictive_accuracy
0.9636032757051864
predictive_accuracy
0.9681528662420382
predictive_accuracy
0.9654231119199272
predictive_accuracy
0.9617834394904459
predictive_accuracy
0.9472247497725205
predictive_accuracy
0.9654231119199272
predictive_accuracy
0.9663330300272976
predictive_accuracy
0.9572338489535942
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
0.03535982364807975
relative_absolute_error
0.048493472431652196
relative_absolute_error
0.04044848851715371
relative_absolute_error
0.0353924274525095
relative_absolute_error
0.03842575682682323
relative_absolute_error
0.042470573334909875
relative_absolute_error
0.05864937039214021
relative_absolute_error
0.038425135249351795
relative_absolute_error
0.03741394747963201
relative_absolute_error
0.04752621393845848
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
0.07977240352174658
root_mean_squared_error
0.09341987329938276
root_mean_squared_error
0.08531907675873372
root_mean_squared_error
0.07980868844676223
root_mean_squared_error
0.08315874948563477
root_mean_squared_error
0.08742603789438722
root_mean_squared_error
0.10273777321655311
root_mean_squared_error
0.08315874948563477
root_mean_squared_error
0.08205726046207304
root_mean_squared_error
0.09248367536641892
root_relative_squared_error
0.2659316711830121
root_relative_squared_error
0.3114272847681921
root_relative_squared_error
0.28442567674985697
root_relative_squared_error
0.2660558585998199
root_relative_squared_error
0.2772216409964817
root_relative_squared_error
0.2914472600996642
root_relative_squared_error
0.3424883914084789
root_relative_squared_error
0.2772171566590228
root_relative_squared_error
0.2735452441171482
root_relative_squared_error
0.3083051560892247
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
0.968215596415156 [0.991304,0.938596,0.973913,0.980952,0.973684,0.961905,1,0.95614,0.95283,0.95283]
unweighted_recall
0.956539379622148 [0.965217,0.921053,0.913043,0.971429,0.991228,0.952381,0.943396,0.973684,0.971698,0.962264]
unweighted_recall
0.9635871878218929 [0.956522,0.947368,0.965217,0.971429,1,0.942857,0.990476,0.956522,0.980952,0.924528]
unweighted_recall
0.9682172823362756 [0.991228,0.947826,0.982456,0.952381,0.982609,1,0.971429,0.930435,0.971429,0.952381]
unweighted_recall
0.9655938451543132 [0.973684,0.930435,0.95614,0.971698,0.982609,0.971698,0.952381,0.964912,0.961905,0.990476]
unweighted_recall
0.9614394065557658 [0.95614,0.956522,0.964912,0.95283,0.982609,0.933962,0.961905,0.991228,0.942857,0.971429]
unweighted_recall
0.9469033535438267 [0.982456,0.912281,0.973684,0.971698,0.965217,0.95283,0.990566,0.929825,0.857143,0.933333]
unweighted_recall
0.9657880550432687 [0.991228,0.938596,0.938596,0.971698,0.947368,0.962264,0.981132,0.964912,0.981132,0.980952]
unweighted_recall
0.9660065257483332 [0.991228,0.95614,0.938596,0.962264,1,0.914286,0.981132,0.982456,0.981132,0.95283]
unweighted_recall
0.9572893472401264 [1,0.894737,0.947826,0.952381,0.982456,0.971429,0.962264,0.95614,0.943396,0.962264]
usercpu_time_millis
61.52699999999989
usercpu_time_millis
50.534000000000084
usercpu_time_millis
55.471000000000046
usercpu_time_millis
51.08500000000005
usercpu_time_millis
52.357999999999905
usercpu_time_millis
51.34199999999956
usercpu_time_millis
53.035999999999646
usercpu_time_millis
52.89200000000039
usercpu_time_millis
53.03299999999966
usercpu_time_millis
53.32600000000021
usercpu_time_millis_testing
0.8219999999998784
usercpu_time_millis_testing
0.6880000000000219
usercpu_time_millis_testing
0.8729999999999016
usercpu_time_millis_testing
0.6889999999999397
usercpu_time_millis_testing
0.6900000000000794
usercpu_time_millis_testing
0.7829999999997561
usercpu_time_millis_testing
0.7589999999999542
usercpu_time_millis_testing
0.7700000000001594
usercpu_time_millis_testing
0.7409999999996586
usercpu_time_millis_testing
0.8770000000000167
usercpu_time_millis_training
60.70500000000001
usercpu_time_millis_training
49.84600000000006
usercpu_time_millis_training
54.59800000000015
usercpu_time_millis_training
50.39600000000011
usercpu_time_millis_training
51.66799999999982
usercpu_time_millis_training
50.5589999999998
usercpu_time_millis_training
52.27699999999969
usercpu_time_millis_training
52.12200000000023
usercpu_time_millis_training
52.292
usercpu_time_millis_training
52.44900000000019
wall_clock_time_millis
61.814069747924805
wall_clock_time_millis
50.70638656616211
wall_clock_time_millis
55.86695671081543
wall_clock_time_millis
51.20205879211426
wall_clock_time_millis
52.54387855529785
wall_clock_time_millis
51.41091346740723
wall_clock_time_millis
53.20405960083008
wall_clock_time_millis
52.971839904785156
wall_clock_time_millis
53.379058837890625
wall_clock_time_millis
53.53283882141113
wall_clock_time_millis_testing
0.8242130279541016
wall_clock_time_millis_testing
0.6902217864990234
wall_clock_time_millis_testing
0.8757114410400391
wall_clock_time_millis_testing
0.6909370422363281
wall_clock_time_millis_testing
0.6918907165527344
wall_clock_time_millis_testing
0.7848739624023438
wall_clock_time_millis_testing
0.7619857788085938
wall_clock_time_millis_testing
0.7719993591308594
wall_clock_time_millis_testing
0.7429122924804688
wall_clock_time_millis_testing
0.9169578552246094
wall_clock_time_millis_training
60.9898567199707
wall_clock_time_millis_training
50.016164779663086
wall_clock_time_millis_training
54.99124526977539
wall_clock_time_millis_training
50.51112174987793
wall_clock_time_millis_training
51.85198783874512
wall_clock_time_millis_training
50.62603950500488
wall_clock_time_millis_training
52.442073822021484
wall_clock_time_millis_training
52.1998405456543
wall_clock_time_millis_training
52.636146545410156
wall_clock_time_millis_training
52.61588096618652
weighted_recall
0.9681818181818181 [0.991304,0.938596,0.973913,0.980952,0.973684,0.961905,1,0.95614,0.95283,0.95283]
weighted_recall
0.9563636363636364 [0.965217,0.921053,0.913043,0.971429,0.991228,0.952381,0.943396,0.973684,0.971698,0.962264]
weighted_recall
0.9636032757051866 [0.956522,0.947368,0.965217,0.971429,1,0.942857,0.990476,0.956522,0.980952,0.924528]
weighted_recall
0.9681528662420382 [0.991228,0.947826,0.982456,0.952381,0.982609,1,0.971429,0.930435,0.971429,0.952381]
weighted_recall
0.9654231119199272 [0.973684,0.930435,0.95614,0.971698,0.982609,0.971698,0.952381,0.964912,0.961905,0.990476]
weighted_recall
0.9617834394904459 [0.95614,0.956522,0.964912,0.95283,0.982609,0.933962,0.961905,0.991228,0.942857,0.971429]
weighted_recall
0.9472247497725205 [0.982456,0.912281,0.973684,0.971698,0.965217,0.95283,0.990566,0.929825,0.857143,0.933333]
weighted_recall
0.9654231119199272 [0.991228,0.938596,0.938596,0.971698,0.947368,0.962264,0.981132,0.964912,0.981132,0.980952]
weighted_recall
0.9663330300272975 [0.991228,0.95614,0.938596,0.962264,1,0.914286,0.981132,0.982456,0.981132,0.95283]
weighted_recall
0.9572338489535942 [1,0.894737,0.947826,0.952381,0.982456,0.971429,0.962264,0.95614,0.943396,0.962264]