10154639
7789
Sarim Zafar
32
Supervised Classification
8947
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8080245
copy
true
8946
fill_value
null
8946
missing_values
NaN
8946
strategy
"mean"
8946
verbose
0
8946
memory
null
8947
C
1.0
8948
class_weight
null
8948
dual
false
8948
fit_intercept
true
8948
intercept_scaling
1
8948
max_iter
100
8948
multi_class
"warn"
8948
n_jobs
null
8948
penalty
"l2"
8948
random_state
13842
8948
solver
"warn"
8948
tol
0.0001
8948
verbose
0
8948
warm_start
false
8948
openml-python
Sklearn_0.20.2.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
21229845
description
https://api.openml.org/data/download/21229845/description.xml
-1
21229846
predictions
https://api.openml.org/data/download/21229846/predictions.arff
area_under_roc_curve
0.9930885513657616 [0.989911,0.988301,0.998483,0.997958,0.999627,0.984208,0.998994,0.991954,0.990176,0.991018]
average_cost
0
f_measure
0.9289887058233426 [0.944444,0.876773,0.967547,0.971028,0.982073,0.84036,0.989074,0.947931,0.898662,0.865713]
kappa
0.9210436235683122
kb_relative_information_score
9849.104282088574
mean_absolute_error
0.03240207728514383
mean_prior_absolute_error
0.17996797657803554
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9293137233036789 [0.952,0.888589,0.958012,0.957604,0.982502,0.839962,0.992374,0.963801,0.906461,0.843525]
predictive_accuracy
0.928948326055313
prior_entropy
3.320773840575361
recall
0.928948326055313 [0.937008,0.865267,0.977273,0.984834,0.981643,0.840758,0.985795,0.932574,0.890995,0.8891]
relative_absolute_error
0.1800435716467259
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.11201523776566724
root_relative_squared_error
0.37341737450794943
total_cost
0
area_under_roc_curve
0.9941858079518741 [0.992249,0.992429,0.998676,0.999301,0.999875,0.986025,0.999744,0.991922,0.991164,0.990101]
area_under_roc_curve
0.9893759149565612 [0.97175,0.987038,0.996407,0.996832,0.99968,0.975248,1,0.986584,0.990139,0.990528]
area_under_roc_curve
0.9932409541160212 [0.993849,0.992439,0.999125,0.999588,0.99967,0.978912,1,0.991455,0.991808,0.984714]
area_under_roc_curve
0.9942968923108706 [0.992742,0.9883,0.998014,0.996637,0.999806,0.994547,0.99246,0.993593,0.990974,0.995823]
area_under_roc_curve
0.993438919108499 [0.988904,0.993628,0.999279,0.99962,0.999832,0.985227,0.999952,0.994042,0.983942,0.989192]
area_under_roc_curve
0.9928042263071851 [0.986383,0.989201,0.999947,0.998983,0.999302,0.982785,0.999981,0.987791,0.991655,0.992143]
area_under_roc_curve
0.9941628697549003 [0.99072,0.988824,0.999127,0.999211,0.999859,0.985901,0.999791,0.995253,0.988225,0.994385]
area_under_roc_curve
0.9944339960124265 [0.99797,0.982545,0.9987,0.999905,0.999092,0.985018,1,0.997596,0.990443,0.992776]
area_under_roc_curve
0.9922517338348958 [0.993828,0.990302,0.998103,0.990585,0.999973,0.97667,0.999952,0.991273,0.991516,0.989245]
area_under_roc_curve
0.9933183007162791 [0.992884,0.978992,0.997808,0.998764,0.999439,0.991549,0.999971,0.990818,0.99182,0.99163]
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
0.933583487200201 [0.943231,0.898678,0.970213,0.976526,0.982301,0.858537,0.985782,0.955752,0.894231,0.863636]
f_measure
0.9102341616884736 [0.941704,0.830357,0.932773,0.967136,0.978355,0.783019,0.980769,0.944954,0.899083,0.837209]
f_measure
0.9315990757258509 [0.929825,0.889868,0.974359,0.953704,0.978166,0.873239,0.995261,0.941176,0.890995,0.884615]
f_measure
0.9400122227644407 [0.960699,0.873362,0.964912,0.971698,0.9869,0.894009,0.995215,0.938053,0.908213,0.90566]
f_measure
0.9318214813278992 [0.939655,0.912281,0.982759,0.976303,0.986784,0.827907,0.990476,0.960352,0.887805,0.843602]
f_measure
0.9303437233658186 [0.941704,0.883117,0.99115,0.985915,0.978541,0.820276,0.985507,0.933333,0.909953,0.867925]
f_measure
0.9351317049965924 [0.951542,0.889908,0.973913,0.963303,0.9869,0.861244,0.981308,0.951111,0.889952,0.894977]
f_measure
0.9307978748061922 [0.951965,0.881818,0.969432,0.985915,0.968889,0.815534,0.995305,0.961039,0.92823,0.843049]
f_measure
0.9170741488336768 [0.924444,0.868085,0.965217,0.971963,0.991304,0.79803,0.985782,0.932127,0.868293,0.857143]
f_measure
0.9290271604447308 [0.959641,0.83871,0.951965,0.958525,0.982456,0.869159,0.995261,0.960352,0.909091,0.860987]
kappa
0.9262494879712272
kappa
0.8999897142773178
kappa
0.9241631029228833
kappa
0.933261811262702
kappa
0.9241581485478942
kappa
0.922139926025431
kappa
0.9282126911431744
kappa
0.9231548431199185
kappa
0.9079816016569182
kappa
0.9211381889437805
kb_relative_information_score
989.0785109597214
kb_relative_information_score
975.1183293423582
kb_relative_information_score
985.106133589228
kb_relative_information_score
995.3718692441834
kb_relative_information_score
985.9360375745118
kb_relative_information_score
983.7129991963342
kb_relative_information_score
987.7960695547517
kb_relative_information_score
988.5919223780949
kb_relative_information_score
974.2473161546953
kb_relative_information_score
984.1450940947041
mean_absolute_error
0.031456899557389846
mean_absolute_error
0.03436726695397702
mean_absolute_error
0.03258013052667396
mean_absolute_error
0.030387482894537354
mean_absolute_error
0.032085187930630296
mean_absolute_error
0.03181996671869477
mean_absolute_error
0.032446907188555155
mean_absolute_error
0.032215231823462025
mean_absolute_error
0.03434953063660173
mean_absolute_error
0.03231124049357926
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
0.9340842882113396 [0.947368,0.902655,0.95,0.962963,0.991071,0.88,0.990476,0.964286,0.911765,0.833333]
precision
0.9116679041801896 [0.972222,0.845455,0.902439,0.953704,0.965812,0.775701,1,0.990385,0.875,0.825688]
precision
0.9320963040153508 [0.938053,0.893805,0.957983,0.927928,0.973913,0.861111,0.990566,0.981132,0.886792,0.901961]
precision
0.9403161323731395 [0.956522,0.877193,0.964912,0.962617,0.991228,0.873874,1,0.954955,0.921569,0.897196]
precision
0.9321999783035979 [0.923729,0.920354,0.966102,0.980952,1,0.816514,0.990476,0.964602,0.91,0.839623]
precision
0.9310838327606239 [0.963303,0.87931,1,0.981308,0.966102,0.801802,1,0.945946,0.90566,0.859813]
precision
0.9357998764435352 [0.955752,0.932692,0.965517,0.9375,0.991228,0.873786,0.972222,0.963964,0.894231,0.859649]
precision
0.9317969528996785 [0.947826,0.915094,0.965217,0.981308,0.981982,0.84,0.990654,0.948718,0.941748,0.79661]
precision
0.9182433792133746 [0.936937,0.842975,0.956897,0.962963,0.982759,0.826531,0.990476,0.962617,0.89899,0.813559]
precision
0.9302783902023551 [0.981651,0.883495,0.95614,0.928571,0.982456,0.853211,1,0.964602,0.92233,0.820513]
predictive_accuracy
0.9336363636363636
predictive_accuracy
0.91
predictive_accuracy
0.9317561419472247
predictive_accuracy
0.9399454049135578
predictive_accuracy
0.9317561419472247
predictive_accuracy
0.9299363057324841
predictive_accuracy
0.935395814376706
predictive_accuracy
0.9308462238398545
predictive_accuracy
0.9171974522292993
predictive_accuracy
0.9290263876251137
prior_entropy
3.320773840575361
prior_entropy
3.320773840575361
prior_entropy
3.320773840575361
prior_entropy
3.320773840575361
prior_entropy
3.320773840575361
prior_entropy
3.320773840575361
prior_entropy
3.320773840575361
prior_entropy
3.320773840575361
prior_entropy
3.320773840575361
prior_entropy
3.320773840575361
recall
0.9336363636363636 [0.93913,0.894737,0.991304,0.990476,0.973684,0.838095,0.981132,0.947368,0.877358,0.896226]
recall
0.91 [0.913043,0.815789,0.965217,0.980952,0.991228,0.790476,0.962264,0.903509,0.924528,0.849057]
recall
0.9317561419472248 [0.921739,0.885965,0.991304,0.980952,0.982456,0.885714,1,0.904348,0.895238,0.867925]
recall
0.9399454049135578 [0.964912,0.869565,0.964912,0.980952,0.982609,0.915094,0.990476,0.921739,0.895238,0.914286]
recall
0.9317561419472248 [0.95614,0.904348,1,0.971698,0.973913,0.839623,0.990476,0.95614,0.866667,0.847619]
recall
0.9299363057324841 [0.921053,0.886957,0.982456,0.990566,0.991304,0.839623,0.971429,0.921053,0.914286,0.87619]
recall
0.935395814376706 [0.947368,0.850877,0.982456,0.990566,0.982609,0.849057,0.990566,0.938596,0.885714,0.933333]
recall
0.9308462238398544 [0.95614,0.850877,0.973684,0.990566,0.95614,0.792453,1,0.973684,0.915094,0.895238]
recall
0.9171974522292994 [0.912281,0.894737,0.973684,0.981132,1,0.771429,0.981132,0.903509,0.839623,0.90566]
recall
0.9290263876251137 [0.938596,0.798246,0.947826,0.990476,0.982456,0.885714,0.990566,0.95614,0.896226,0.90566]
relative_absolute_error
0.1747916375644469
relative_absolute_error
0.19096322123357376
relative_absolute_error
0.18103511525119984
relative_absolute_error
0.16885142505805795
relative_absolute_error
0.17828348611219602
relative_absolute_error
0.1768097667636605
relative_absolute_error
0.180291961627697
relative_absolute_error
0.1790031880600551
relative_absolute_error
0.19086236988803001
relative_absolute_error
0.1795381266189361
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
0.10940759882609731
root_mean_squared_error
0.12018196995813449
root_mean_squared_error
0.11105100389129402
root_mean_squared_error
0.10484341616370514
root_mean_squared_error
0.11124959549172928
root_mean_squared_error
0.11281096538187088
root_mean_squared_error
0.1105334882784978
root_mean_squared_error
0.10949074810184574
root_mean_squared_error
0.11795425605378168
root_mean_squared_error
0.11186094038096359
root_relative_squared_error
0.3647244449393216
root_relative_squared_error
0.40064221091596736
root_relative_squared_error
0.37020743936143236
root_relative_squared_error
0.34951338818930877
root_relative_squared_error
0.37086651270218496
root_relative_squared_error
0.3760715635937008
root_relative_squared_error
0.3684763199750881
root_relative_squared_error
0.3649972378974535
root_relative_squared_error
0.3932111014332683
root_relative_squared_error
0.3729015369231625
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