10154614
7789
Sarim Zafar
28
Supervised Classification
8945
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(2)
8080244
class_weight
null
8906
criterion
"gini"
8906
max_depth
null
8906
max_features
null
8906
max_leaf_nodes
null
8906
min_impurity_decrease
0.0
8906
min_impurity_split
null
8906
min_samples_leaf
1
8906
min_samples_split
2
8906
min_weight_fraction_leaf
0.0
8906
presort
false
8906
random_state
13758
8906
splitter
"best"
8906
memory
null
8945
copy
true
8946
fill_value
null
8946
missing_values
NaN
8946
strategy
"mean"
8946
verbose
0
8946
openml-python
Sklearn_0.20.2.
28
optdigits
https://www.openml.org/data/download/28/dataset_28_optdigits.arff
-1
21229795
description
https://api.openml.org/data/download/21229795/description.xml
-1
21229796
predictions
https://api.openml.org/data/download/21229796/predictions.arff
area_under_roc_curve
0.950071765856171 [0.980977,0.951135,0.951965,0.938608,0.939198,0.962888,0.977923,0.961986,0.923315,0.913306]
average_cost
0
f_measure
0.9101344618315503 [0.965704,0.899398,0.918626,0.895154,0.896185,0.937782,0.952128,0.93357,0.858169,0.845674]
kappa
0.9001566795378395
kb_relative_information_score
5092.112250738714
mean_absolute_error
0.017971530249110478
mean_prior_absolute_error
0.17999735782507298
number_of_instances
5620 [554,571,557,572,568,558,558,566,554,562]
precision
0.910254988388448 [0.965704,0.883446,0.925319,0.902309,0.903399,0.943739,0.942105,0.936057,0.853571,0.847943]
predictive_accuracy
0.9101423487544484
prior_entropy
3.3218330631942767
recall
0.9101423487544484 [0.965704,0.915937,0.912029,0.888112,0.889085,0.9319,0.962366,0.931095,0.862816,0.843416]
relative_absolute_error
0.09984330029208412
root_mean_prior_squared_error
0.2999977942685968
root_mean_squared_error
0.13405793616608633
root_relative_squared_error
0.4468630727533294
total_cost
0
area_under_roc_curve
0.9505810136675398 [0.989923,0.94921,0.968274,0.883963,0.899548,0.97025,0.971238,0.980167,0.951802,0.945476]
area_under_roc_curve
0.9515887155072227 [0.97886,0.944398,0.97819,0.954912,0.916102,0.971238,0.997036,0.924619,0.950816,0.900833]
area_under_roc_curve
0.9505790725715226 [0.979846,0.947229,0.949428,0.931666,0.945388,0.998024,0.980167,0.978496,0.914452,0.880964]
area_under_roc_curve
0.9465913673950365 [0.971741,0.934497,0.943464,0.942418,0.940438,0.961321,0.987119,0.969724,0.933405,0.881988]
area_under_roc_curve
0.9485949688357052 [0.961664,0.940438,0.941488,0.960952,0.957982,0.960678,0.956381,0.960952,0.918397,0.926854]
area_under_roc_curve
0.9416662093273901 [0.977873,0.964773,0.934536,0.920914,0.926854,0.949614,0.977202,0.95317,0.864838,0.946239]
area_under_roc_curve
0.9525456353198994 [0.972226,0.95317,0.942496,0.947229,0.970714,0.986131,0.959692,0.969724,0.920666,0.902809]
area_under_roc_curve
0.9594606823687257 [0.999012,0.943408,0.968782,0.934636,0.930676,0.953381,0.998028,0.979486,0.953381,0.935559]
area_under_roc_curve
0.950553650315232 [0.989095,0.966201,0.940524,0.964773,0.957369,0.927583,0.989095,0.971238,0.880964,0.917702]
area_under_roc_curve
0.9486009470512267 [0.989095,0.967744,0.952393,0.945388,0.947452,0.950416,0.963298,0.931571,0.944488,0.893881]
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
0.910691066578593 [0.981818,0.896552,0.929825,0.841121,0.859813,0.946429,0.954955,0.964286,0.864407,0.871795]
f_measure
0.9128884510751165 [0.954955,0.918919,0.947368,0.938053,0.872727,0.954955,0.973913,0.888889,0.857143,0.821429]
f_measure
0.9108220323269229 [0.963636,0.881356,0.902655,0.877193,0.927273,0.982456,0.964286,0.948276,0.817391,0.843137]
f_measure
0.9042142055072365 [0.962963,0.842975,0.917431,0.902655,0.886957,0.936937,0.956522,0.93913,0.90566,0.792793]
f_measure
0.9076361418747809 [0.944444,0.886957,0.900901,0.929825,0.905983,0.93578,0.896552,0.929825,0.846847,0.899083]
f_measure
0.8944668899485503 [0.946429,0.9,0.907407,0.852174,0.899083,0.909091,0.93913,0.928571,0.788462,0.87395]
f_measure
0.9145437266874313 [0.963636,0.928571,0.915888,0.881356,0.947368,0.948276,0.927273,0.93913,0.857143,0.836364]
f_measure
0.9271769091187608 [0.99115,0.910714,0.936937,0.900901,0.869565,0.93578,0.982143,0.956522,0.93578,0.854701]
f_measure
0.910654503174477 [0.973451,0.909091,0.899083,0.9,0.904348,0.914286,0.973451,0.954955,0.843137,0.834783]
f_measure
0.9076476658789642 [0.973451,0.923077,0.927273,0.927273,0.886957,0.910714,0.954128,0.882883,0.864407,0.825688]
kappa
0.9011548351466672
kappa
0.9031290123999648
kappa
0.901145794122924
kappa
0.8932310723332395
kappa
0.8971894557978688
kappa
0.8833462917292597
kappa
0.9050969575863331
kappa
0.91894040666995
kappa
0.9011388383637597
kappa
0.8971923492308072
kb_relative_information_score
509.81825876576926
kb_relative_information_score
510.8302432912848
kb_relative_information_score
509.73812431984874
kb_relative_information_score
505.5453258804704
kb_relative_information_score
507.59545726764225
kb_relative_information_score
500.28002785325333
kb_relative_information_score
511.7948076315391
kb_relative_information_score
519.1921585056481
kb_relative_information_score
509.65779431584684
kb_relative_information_score
507.66005290770306
mean_absolute_error
0.017793594306049817
mean_absolute_error
0.01743772241992882
mean_absolute_error
0.017793594306049817
mean_absolute_error
0.019217081850533797
mean_absolute_error
0.018505338078291807
mean_absolute_error
0.020996441281138773
mean_absolute_error
0.017081850533807827
mean_absolute_error
0.014590747330960859
mean_absolute_error
0.017793594306049817
mean_absolute_error
0.018505338078291807
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
0.9135625019034503 [0.981818,0.881356,0.913793,0.918367,0.92,0.946429,0.963636,0.964286,0.809524,0.836066]
precision
0.9149021313621991 [0.946429,0.944444,0.931034,0.963636,0.90566,0.963636,0.949153,0.923077,0.796875,0.821429]
precision
0.9131320317686207 [0.963636,0.852459,0.894737,0.877193,0.962264,0.965517,0.964286,0.932203,0.783333,0.934783]
precision
0.9057442127164284 [0.981132,0.796875,0.943396,0.910714,0.87931,0.945455,0.932203,0.931034,0.941176,0.8]
precision
0.9086376145750544 [0.962264,0.87931,0.909091,0.929825,0.883333,0.944444,0.866667,0.929825,0.839286,0.942308]
precision
0.8960950916977071 [0.929825,0.857143,0.942308,0.844828,0.942308,0.909091,0.915254,0.945455,0.836735,0.83871]
precision
0.9152614975435939 [0.981481,0.945455,0.942308,0.852459,0.947368,0.916667,0.927273,0.931034,0.857143,0.851852]
precision
0.9282141468404518 [0.982456,0.927273,0.928571,0.925926,0.862069,0.962264,0.964912,0.948276,0.962264,0.819672]
precision
0.9137962738133296 [0.964912,0.873016,0.907407,0.857143,0.881356,0.979592,0.964912,0.963636,0.934783,0.813559]
precision
0.9091206479193147 [0.964912,0.9,0.944444,0.962264,0.864407,0.910714,0.981132,0.890909,0.822581,0.849057]
predictive_accuracy
0.911032028469751
predictive_accuracy
0.9128113879003559
predictive_accuracy
0.911032028469751
predictive_accuracy
0.9039145907473309
predictive_accuracy
0.9074733096085409
predictive_accuracy
0.895017793594306
predictive_accuracy
0.9145907473309609
predictive_accuracy
0.9270462633451957
predictive_accuracy
0.911032028469751
predictive_accuracy
0.9074733096085409
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
prior_entropy
3.3218330631942767
recall
0.9110320284697508 [0.981818,0.912281,0.946429,0.775862,0.807018,0.946429,0.946429,0.964286,0.927273,0.910714]
recall
0.9128113879003559 [0.963636,0.894737,0.964286,0.913793,0.842105,0.946429,1,0.857143,0.927273,0.821429]
recall
0.9110320284697508 [0.963636,0.912281,0.910714,0.877193,0.894737,1,0.964286,0.964912,0.854545,0.767857]
recall
0.9039145907473309 [0.945455,0.894737,0.892857,0.894737,0.894737,0.928571,0.982143,0.947368,0.872727,0.785714]
recall
0.9074733096085409 [0.927273,0.894737,0.892857,0.929825,0.929825,0.927273,0.928571,0.929825,0.854545,0.859649]
recall
0.895017793594306 [0.963636,0.947368,0.875,0.859649,0.859649,0.909091,0.964286,0.912281,0.745455,0.912281]
recall
0.9145907473309609 [0.946429,0.912281,0.890909,0.912281,0.947368,0.982143,0.927273,0.947368,0.857143,0.821429]
recall
0.9270462633451957 [1,0.894737,0.945455,0.877193,0.877193,0.910714,1,0.964912,0.910714,0.892857]
recall
0.9110320284697508 [0.982143,0.948276,0.890909,0.947368,0.928571,0.857143,0.982143,0.946429,0.767857,0.857143]
recall
0.9074733096085409 [0.982143,0.947368,0.910714,0.894737,0.910714,0.910714,0.928571,0.875,0.910714,0.803571]
relative_absolute_error
0.09885507214313208
relative_absolute_error
0.09687797070026943
relative_absolute_error
0.09885486385244581
relative_absolute_error
0.10676325296064144
relative_absolute_error
0.10280920282131803
relative_absolute_error
0.11664890320111079
relative_absolute_error
0.09490043601384436
relative_absolute_error
0.08106078909515876
relative_absolute_error
0.09885444727370649
relative_absolute_error
0.1028081197203993
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
0.13339263212805202
root_mean_squared_error
0.13205196863329535
root_mean_squared_error
0.13339263212805202
root_mean_squared_error
0.13862568972067837
root_mean_squared_error
0.13603432683808822
root_mean_squared_error
0.14490148819504503
root_mean_squared_error
0.13069755366420532
root_mean_squared_error
0.12079216585093944
root_mean_squared_error
0.13339263212805202
root_mean_squared_error
0.13603432683808822
root_relative_squared_error
0.44464681287812896
root_relative_squared_error
0.4401778872667552
root_relative_squared_error
0.44464587599151445
root_relative_squared_error
0.462089549155964
root_relative_squared_error
0.4534522366236042
root_relative_squared_error
0.48300973320018636
root_relative_squared_error
0.43566113402155154
root_relative_squared_error
0.402642975940812
root_relative_squared_error
0.44464400223605166
root_relative_squared_error
0.45344745949093374
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
usercpu_time_millis
59.925999999990154
usercpu_time_millis
58.480000000002974
usercpu_time_millis
59.212000000016474
usercpu_time_millis
65.18300000000465
usercpu_time_millis
60.39400000000228
usercpu_time_millis
59.849999999997294
usercpu_time_millis
60.2439999999973
usercpu_time_millis
60.220999999998526
usercpu_time_millis
57.471999999989976
usercpu_time_millis
57.66499999998587
usercpu_time_millis_testing
0.8820000000042683
usercpu_time_millis_testing
1.241000000007375
usercpu_time_millis_testing
0.8930000000049176
usercpu_time_millis_testing
1.061000000007084
usercpu_time_millis_testing
1.345999999998071
usercpu_time_millis_testing
0.8859999999941692
usercpu_time_millis_testing
0.9000000000014552
usercpu_time_millis_testing
1.082999999994172
usercpu_time_millis_testing
0.8869999999916445
usercpu_time_millis_testing
1.0439999999931615
usercpu_time_millis_training
59.043999999985886
usercpu_time_millis_training
57.2389999999956
usercpu_time_millis_training
58.319000000011556
usercpu_time_millis_training
64.12199999999757
usercpu_time_millis_training
59.04800000000421
usercpu_time_millis_training
58.964000000003125
usercpu_time_millis_training
59.343999999995845
usercpu_time_millis_training
59.138000000004354
usercpu_time_millis_training
56.58499999999833
usercpu_time_millis_training
56.620999999992705