10587732
29614
VASILEIOS GARGANOURAKIS
28
Supervised Classification
19090
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(2)
8303960
Python_3.7.12. Sklearn_0.24.2. NumPy_1.19.5. SciPy_1.7.3.
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
9385
18820
splitter
"best"
18820
memory
null
19090
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}]
19090
verbose
false
19090
openml-python
Sklearn_0.24.2.
28
optdigits
https://www.openml.org/data/download/28/dataset_28_optdigits.arff
-1
22102094
description
https://api.openml.org/data/download/22102094/description.xml
-1
22102095
predictions
https://api.openml.org/data/download/22102095/predictions.arff
area_under_roc_curve
0.9466099818665975 [0.976563,0.946361,0.949182,0.948503,0.933036,0.954428,0.975334,0.959138,0.912174,0.911625]
average_cost
0
f_measure
0.9039726629921955 [0.961887,0.891566,0.908438,0.901995,0.889286,0.925725,0.950178,0.929078,0.849315,0.83304]
kappa
0.8932356397924996
kb_relative_information_score
0.8995296542744613
mean_absolute_error
0.019217081850533984
mean_prior_absolute_error
0.17999735782507298
weighted_recall
0.9039145907473309 [0.956679,0.90718,0.908438,0.909091,0.876761,0.915771,0.956989,0.925795,0.83935,0.843416]
number_of_instances
5620 [554,571,557,572,568,558,558,566,554,562]
precision
0.9042203801475555 [0.967153,0.876481,0.908438,0.895009,0.902174,0.935897,0.943463,0.932384,0.859519,0.822917]
predictive_accuracy
0.9039145907473309
prior_entropy
3.3218327251668773
relative_absolute_error
0.10676313298559494
root_mean_prior_squared_error
0.2999977942685968
root_mean_squared_error
0.13862568972067907
root_relative_squared_error
0.4620890298832112
total_cost
0
unweighted_recall
0.9039470079408994 [0.956679,0.90718,0.908438,0.909091,0.876761,0.915771,0.956989,0.925795,0.83935,0.843416]
area_under_roc_curve
0.9406898148284453 [0.97886,0.932656,0.967285,0.908833,0.897568,0.950416,0.94844,0.979178,0.910292,0.935559]
area_under_roc_curve
0.9505908050193458 [0.971741,0.944398,0.974238,0.971162,0.916102,0.960333,0.989095,0.933547,0.93362,0.911738]
area_under_roc_curve
0.9515769830134545 [0.980832,0.958972,0.941488,0.946239,0.95416,0.963298,0.989095,0.981466,0.911494,0.887916]
area_under_roc_curve
0.9446150905288625 [0.972727,0.926715,0.961321,0.943408,0.942418,0.961321,0.998024,0.94921,0.924314,0.86713]
area_under_roc_curve
0.9446345573584887 [0.951587,0.931666,0.951405,0.970714,0.945249,0.955747,0.941488,0.959962,0.922342,0.916102]
area_under_roc_curve
0.939668439444922 [0.979846,0.958833,0.91569,0.931666,0.915112,0.933405,0.977202,0.970714,0.856733,0.956001]
area_under_roc_curve
0.9515496738765722 [0.972226,0.95119,0.951587,0.947229,0.960952,0.97819,0.969769,0.95218,0.931571,0.900833]
area_under_roc_curve
0.953537683328405 [0.990083,0.928834,0.96681,0.939448,0.924874,0.954369,0.998028,0.978496,0.922643,0.933583]
area_under_roc_curve
0.9465991012254963 [0.989095,0.965209,0.920369,0.981327,0.943464,0.927583,0.990083,0.963298,0.871047,0.912761]
area_under_roc_curve
0.9426662231440535 [0.97819,0.964773,0.941488,0.945388,0.930583,0.959345,0.952393,0.922643,0.937535,0.893881]
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
0.8928243752167788 [0.954955,0.884956,0.921739,0.864865,0.844037,0.910714,0.894737,0.955752,0.844037,0.854701]
f_measure
0.9111955018313672 [0.962963,0.918919,0.915254,0.948276,0.872727,0.928571,0.973451,0.899083,0.844828,0.846847]
f_measure
0.9135614104107748 [0.972477,0.913793,0.900901,0.87395,0.936937,0.954128,0.973451,0.973451,0.79661,0.838095]
f_measure
0.9013032224168959 [0.971963,0.840336,0.936937,0.910714,0.902655,0.936937,0.982456,0.896552,0.895238,0.741379]
f_measure
0.9004425340590894 [0.925926,0.877193,0.918919,0.947368,0.866667,0.894737,0.900901,0.921739,0.878505,0.872727]
f_measure
0.8908606602933887 [0.963636,0.857143,0.878505,0.877193,0.864865,0.90566,0.93913,0.947368,0.784314,0.890756]
f_measure
0.9129556947272147 [0.963636,0.912281,0.925926,0.881356,0.929825,0.947368,0.945455,0.920354,0.882883,0.821429]
f_measure
0.916655002588073 [0.982143,0.915888,0.920354,0.87931,0.882883,0.944444,0.982143,0.948276,0.872727,0.840336]
f_measure
0.9040337624498253 [0.973451,0.901639,0.862385,0.910569,0.917431,0.914286,0.982143,0.954128,0.823529,0.8]
f_measure
0.8966755067202806 [0.947368,0.9,0.900901,0.927273,0.875,0.920354,0.927273,0.872727,0.869565,0.825688]
kappa
0.881379543247921
kappa
0.9011478806598114
kappa
0.903123219047485
kappa
0.8892774466827562
kappa
0.8892797838507219
kappa
0.8793847149803325
kappa
0.9031201516979831
kappa
0.9070796615833817
kappa
0.8932280672126994
kappa
0.8853287177755262
kb_relative_information_score
0.8884597682088732
kb_relative_information_score
0.9070329499290792
kb_relative_information_score
0.9088091629189983
kb_relative_information_score
0.8958571892315793
kb_relative_information_score
0.8957530250842182
kb_relative_information_score
0.8864188177289496
kb_relative_information_score
0.9088343682654084
kb_relative_information_score
0.9126373650208057
kb_relative_information_score
0.8993833672216452
kb_relative_information_score
0.8921104572315878
mean_absolute_error
0.021352313167259766
mean_absolute_error
0.017793594306049817
mean_absolute_error
0.01743772241992882
mean_absolute_error
0.019928825622775787
mean_absolute_error
0.019928825622775787
mean_absolute_error
0.021708185053380763
mean_absolute_error
0.01743772241992882
mean_absolute_error
0.01672597864768683
mean_absolute_error
0.019217081850533797
mean_absolute_error
0.020640569395017776
mean_prior_absolute_error
0.17999677629374952
mean_prior_absolute_error
0.17999677629374952
mean_prior_absolute_error
0.17999715555330845
mean_prior_absolute_error
0.17999715555330845
mean_prior_absolute_error
0.1799969027136025
mean_prior_absolute_error
0.1799969027136025
mean_prior_absolute_error
0.17999759802279386
mean_prior_absolute_error
0.17999759802279386
mean_prior_absolute_error
0.1799979140724263
mean_prior_absolute_error
0.17999879901139712
number_of_instances
562 [55,57,56,58,57,56,56,56,55,56]
number_of_instances
562 [55,57,56,58,57,56,56,56,55,56]
number_of_instances
562 [55,57,56,57,57,56,56,57,55,56]
number_of_instances
562 [55,57,56,57,57,56,56,57,55,56]
number_of_instances
562 [55,57,56,57,57,55,56,57,55,57]
number_of_instances
562 [55,57,56,57,57,55,56,57,55,57]
number_of_instances
562 [56,57,55,57,57,56,55,57,56,56]
number_of_instances
562 [56,57,55,57,57,56,55,57,56,56]
number_of_instances
562 [56,58,55,57,56,56,56,56,56,56]
number_of_instances
562 [56,57,56,57,56,56,56,56,56,56]
precision
0.893683975467023 [0.946429,0.892857,0.898305,0.90566,0.884615,0.910714,0.87931,0.947368,0.851852,0.819672]
precision
0.9128754065666448 [0.981132,0.944444,0.870968,0.948276,0.90566,0.928571,0.964912,0.924528,0.803279,0.854545]
precision
0.916490017514572 [0.981481,0.898305,0.909091,0.83871,0.962963,0.981132,0.964912,0.982143,0.746032,0.897959]
precision
0.903493768243453 [1,0.806452,0.945455,0.927273,0.910714,0.945455,0.965517,0.881356,0.94,0.716667]
precision
0.9016610941026565 [0.943396,0.877193,0.927273,0.947368,0.825397,0.864407,0.909091,0.913793,0.903846,0.90566]
precision
0.8940150635524818 [0.963636,0.782609,0.921569,0.877193,0.888889,0.941176,0.915254,0.947368,0.851064,0.854839]
precision
0.913518382391784 [0.981481,0.912281,0.943396,0.852459,0.929825,0.931034,0.945455,0.928571,0.890909,0.821429]
precision
0.9190655183180088 [0.982143,0.98,0.896552,0.864407,0.907407,0.980769,0.964912,0.932203,0.888889,0.793651]
precision
0.9090284822041226 [0.964912,0.859375,0.87037,0.848485,0.943396,0.979592,0.982143,0.981132,0.913043,0.75]
precision
0.8977089044472727 [0.931034,0.857143,0.909091,0.962264,0.875,0.912281,0.944444,0.888889,0.847458,0.849057]
predictive_accuracy
0.8932384341637011
predictive_accuracy
0.911032028469751
predictive_accuracy
0.9128113879003559
predictive_accuracy
0.900355871886121
predictive_accuracy
0.900355871886121
predictive_accuracy
0.891459074733096
predictive_accuracy
0.9128113879003559
predictive_accuracy
0.9163701067615658
predictive_accuracy
0.9039145907473309
predictive_accuracy
0.896797153024911
prior_entropy
3.3217909017967746
prior_entropy
3.3217909017967746
prior_entropy
3.321817923867619
prior_entropy
3.321817923867619
prior_entropy
3.3217996202390836
prior_entropy
3.3217996202390836
prior_entropy
3.3218501976437715
prior_entropy
3.3218501976437715
prior_entropy
3.321873176216062
prior_entropy
3.3219367883600994
relative_absolute_error
0.11862608657175842
relative_absolute_error
0.09885507214313208
relative_absolute_error
0.0968777665753969
relative_absolute_error
0.11071744751473926
relative_absolute_error
0.11071760303834244
relative_absolute_error
0.12060310330962301
relative_absolute_error
0.09687752843079943
relative_absolute_error
0.09292334359688927
relative_absolute_error
0.10676280305560297
relative_absolute_error
0.11467059507275301
root_mean_prior_squared_error
0.2999968250410308
root_mean_prior_squared_error
0.2999968250410308
root_mean_prior_squared_error
0.2999974571463194
root_mean_prior_squared_error
0.2999974571463194
root_mean_prior_squared_error
0.2999970357429417
root_mean_prior_squared_error
0.2999970357429417
root_mean_prior_squared_error
0.2999981946008062
root_mean_prior_squared_error
0.2999981946008062
root_mean_prior_squared_error
0.2999987213529011
root_mean_prior_squared_error
0.3000001962538465
root_mean_squared_error
0.14612430724304484
root_mean_squared_error
0.13339263212805202
root_mean_squared_error
0.13205196863329535
root_mean_squared_error
0.14116949253566008
root_mean_squared_error
0.14116949253566008
root_mean_squared_error
0.14733697788871863
root_mean_squared_error
0.13205196863329535
root_mean_squared_error
0.12932895517898083
root_mean_squared_error
0.13862568972067837
root_mean_squared_error
0.14366826161340499
root_relative_squared_error
0.4870861790722595
root_relative_squared_error
0.44464681287812896
root_relative_squared_error
0.44017695979632554
root_relative_squared_error
0.47056896374560503
root_relative_squared_error
0.4705696247499722
root_relative_squared_error
0.4911281123956412
root_relative_squared_error
0.44017587775490064
root_relative_squared_error
0.4310991116165646
root_relative_squared_error
0.4620876018921665
root_relative_squared_error
0.47889389209545535
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
0.893679673321234 [0.963636,0.877193,0.946429,0.827586,0.807018,0.910714,0.910714,0.964286,0.836364,0.892857]
unweighted_recall
0.9110767317981473 [0.945455,0.894737,0.964286,0.948276,0.842105,0.928571,0.982143,0.875,0.890909,0.839286]
unweighted_recall
0.9126765778081568 [0.963636,0.929825,0.892857,0.912281,0.912281,0.928571,0.982143,0.964912,0.854545,0.785714]
unweighted_recall
0.9003947368421052 [0.945455,0.877193,0.928571,0.894737,0.894737,0.928571,1,0.912281,0.854545,0.767857]
unweighted_recall
0.900325244930508 [0.909091,0.877193,0.910714,0.947368,0.912281,0.927273,0.892857,0.929825,0.854545,0.842105]
unweighted_recall
0.89110674413306 [0.963636,0.947368,0.839286,0.877193,0.842105,0.872727,0.964286,0.947368,0.727273,0.929825]
unweighted_recall
0.9128354978354979 [0.946429,0.912281,0.909091,0.912281,0.929825,0.964286,0.945455,0.912281,0.875,0.821429]
unweighted_recall
0.916725905673274 [0.982143,0.859649,0.945455,0.894737,0.859649,0.910714,1,0.964912,0.857143,0.892857]
unweighted_recall
0.9035277456965296 [0.982143,0.948276,0.854545,0.982456,0.892857,0.857143,0.982143,0.928571,0.75,0.857143]
unweighted_recall
0.8967105263157894 [0.964286,0.947368,0.892857,0.894737,0.875,0.928571,0.910714,0.857143,0.892857,0.803571]
usercpu_time_millis
196.32502800000395
usercpu_time_millis
228.17274599999848
usercpu_time_millis
223.80345699998827
usercpu_time_millis
194.62432000001684
usercpu_time_millis
192.22140499999796
usercpu_time_millis
187.9339299999998
usercpu_time_millis
189.9035859999998
usercpu_time_millis
209.56875099999195
usercpu_time_millis
183.08530099999132
usercpu_time_millis
190.79607700000167
usercpu_time_millis_testing
4.506832000004124
usercpu_time_millis_testing
4.7021029999996244
usercpu_time_millis_testing
4.679022999994231
usercpu_time_millis_testing
4.569834000008655
usercpu_time_millis_testing
4.989296000005083
usercpu_time_millis_testing
4.589203999998404
usercpu_time_millis_testing
5.635334000004377
usercpu_time_millis_testing
4.5111159999891015
usercpu_time_millis_testing
4.612586999996893
usercpu_time_millis_testing
4.461054000003628
usercpu_time_millis_training
191.81819599999983
usercpu_time_millis_training
223.47064299999886
usercpu_time_millis_training
219.12443399999404
usercpu_time_millis_training
190.05448600000818
usercpu_time_millis_training
187.23210899999287
usercpu_time_millis_training
183.3447260000014
usercpu_time_millis_training
184.2682519999954
usercpu_time_millis_training
205.05763500000285
usercpu_time_millis_training
178.47271399999443
usercpu_time_millis_training
186.33502299999805
wall_clock_time_millis
195.6799030303955
wall_clock_time_millis
227.46992111206055
wall_clock_time_millis
223.16646575927734
wall_clock_time_millis
193.7410831451416
wall_clock_time_millis
192.36135482788086
wall_clock_time_millis
187.97850608825684
wall_clock_time_millis
189.39876556396484
wall_clock_time_millis
208.74428749084473
wall_clock_time_millis
182.295560836792
wall_clock_time_millis
189.87107276916504
wall_clock_time_millis_testing
4.556417465209961
wall_clock_time_millis_testing
4.712343215942383
wall_clock_time_millis_testing
4.690885543823242
wall_clock_time_millis_testing
4.575967788696289
wall_clock_time_millis_testing
4.99725341796875
wall_clock_time_millis_testing
4.599332809448242
wall_clock_time_millis_testing
4.9953460693359375
wall_clock_time_millis_testing
4.517316818237305
wall_clock_time_millis_testing
4.62031364440918
wall_clock_time_millis_testing
4.467010498046875
wall_clock_time_millis_training
191.12348556518555
wall_clock_time_millis_training
222.75757789611816
wall_clock_time_millis_training
218.4755802154541
wall_clock_time_millis_training
189.1651153564453
wall_clock_time_millis_training
187.3641014099121
wall_clock_time_millis_training
183.3791732788086
wall_clock_time_millis_training
184.4034194946289
wall_clock_time_millis_training
204.22697067260742
wall_clock_time_millis_training
177.6752471923828
wall_clock_time_millis_training
185.40406227111816
weighted_recall
0.8932384341637011 [0.963636,0.877193,0.946429,0.827586,0.807018,0.910714,0.910714,0.964286,0.836364,0.892857]
weighted_recall
0.9110320284697508 [0.945455,0.894737,0.964286,0.948276,0.842105,0.928571,0.982143,0.875,0.890909,0.839286]
weighted_recall
0.9128113879003559 [0.963636,0.929825,0.892857,0.912281,0.912281,0.928571,0.982143,0.964912,0.854545,0.785714]
weighted_recall
0.900355871886121 [0.945455,0.877193,0.928571,0.894737,0.894737,0.928571,1,0.912281,0.854545,0.767857]
weighted_recall
0.900355871886121 [0.909091,0.877193,0.910714,0.947368,0.912281,0.927273,0.892857,0.929825,0.854545,0.842105]
weighted_recall
0.891459074733096 [0.963636,0.947368,0.839286,0.877193,0.842105,0.872727,0.964286,0.947368,0.727273,0.929825]
weighted_recall
0.9128113879003559 [0.946429,0.912281,0.909091,0.912281,0.929825,0.964286,0.945455,0.912281,0.875,0.821429]
weighted_recall
0.9163701067615658 [0.982143,0.859649,0.945455,0.894737,0.859649,0.910714,1,0.964912,0.857143,0.892857]
weighted_recall
0.9039145907473309 [0.982143,0.948276,0.854545,0.982456,0.892857,0.857143,0.982143,0.928571,0.75,0.857143]
weighted_recall
0.896797153024911 [0.964286,0.947368,0.892857,0.894737,0.875,0.928571,0.910714,0.857143,0.892857,0.803571]