8886873
2489
Jeroen Ubbink
167133
Supervised Classification
area_under_roc_curve
8224
sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA,scaler=sklearn.preprocessing.data.MinMaxScaler,neighbors=sklearn.neighbors.classification.KNeighborsClassifier)(1)
6835403
algorithm
"auto"
7681
leaf_size
30
7681
metric
"minkowski"
7681
metric_params
null
7681
n_jobs
1
7681
n_neighbors
20
7681
p
2
7681
weights
"uniform"
7681
copy
true
7689
feature_range
[0, 1]
7689
copy
true
7806
iterated_power
"auto"
7806
n_components
0.4
7806
random_state
42373
7806
svd_solver
"auto"
7806
tol
0.0
7806
whiten
false
7806
memory
null
8224
openml-python
Sklearn_0.19.1.
40926
CIFAR_10_small
https://www.openml.org/data/download/16797612/cifar-10-small.arff
-1
18689541
description
https://www.openml.org/data/download/18689541/description.xml
-1
18689542
predictions
https://www.openml.org/data/download/18689542/predictions.arff
area_under_roc_curve
0.6284920076827865 [0.692576,0.580438,0.615596,0.573307,0.599371,0.617323,0.65495,0.551543,0.681454,0.717685]
average_cost
0
f_measure
0.18687366802793925 [0.293932,0.150225,0.174204,0.13472,0.146228,0.138614,0.208754,0.102355,0.24518,0.27266]
kappa
0.10135223819159533
kb_relative_information_score
3085.3257745176934
mean_absolute_error
0.17133599999999904
mean_prior_absolute_error
0.17999608295848674
number_of_instances
20000 [2005,1974,2032,2016,1999,1937,2030,2001,2025,1981]
precision
0.18598145335259472 [0.253807,0.148515,0.159137,0.141607,0.151776,0.148323,0.203947,0.137669,0.245423,0.268328]
predictive_accuracy
0.1913
prior_entropy
3.3217862890565693
recall
0.1913 [0.349127,0.151976,0.192421,0.128472,0.141071,0.130098,0.213793,0.081459,0.244938,0.277133]
relative_absolute_error
0.951887381013258
root_mean_prior_squared_error
0.299996734149702
root_mean_squared_error
0.29970276942330587
root_relative_squared_error
0.9990201069113991
total_cost
0
area_under_roc_curve
0.6314176632771216 [0.68764,0.596251,0.605699,0.571927,0.636761,0.61759,0.689991,0.546292,0.671511,0.689716]
area_under_roc_curve
0.6241043260694816 [0.692811,0.574844,0.60302,0.533705,0.598917,0.621324,0.63027,0.56411,0.687117,0.73549]
area_under_roc_curve
0.6243847831906972 [0.687274,0.59649,0.657926,0.592496,0.572282,0.60216,0.640035,0.526511,0.647104,0.720867]
area_under_roc_curve
0.6332402365942104 [0.693886,0.549359,0.615887,0.622189,0.615108,0.640127,0.646679,0.538156,0.697585,0.712757]
area_under_roc_curve
0.618001472879274 [0.684483,0.577818,0.61111,0.533908,0.58544,0.601118,0.649568,0.567549,0.660646,0.707655]
area_under_roc_curve
0.6346450365994512 [0.716137,0.581083,0.60196,0.600809,0.580397,0.637379,0.687093,0.525368,0.692455,0.723087]
area_under_roc_curve
0.6238232520083054 [0.653544,0.574473,0.642453,0.545661,0.588242,0.615023,0.659698,0.567632,0.668446,0.722266]
area_under_roc_curve
0.639874506765755 [0.709769,0.576231,0.617214,0.619681,0.602013,0.625237,0.648229,0.564156,0.700908,0.733695]
area_under_roc_curve
0.6326601878435193 [0.7006,0.606042,0.609456,0.541003,0.60444,0.606462,0.670788,0.560472,0.699546,0.727243]
area_under_roc_curve
0.6233862954696177 [0.701039,0.571887,0.590542,0.57378,0.611381,0.606765,0.628217,0.556044,0.689832,0.703829]
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
0.19391357874897117 [0.301887,0.159204,0.148984,0.150943,0.156425,0.160428,0.238443,0.118012,0.254042,0.249389]
f_measure
0.18239580762622265 [0.316456,0.169412,0.171694,0.113111,0.134663,0.15427,0.172662,0.083871,0.234146,0.273684]
f_measure
0.19361328638055278 [0.283333,0.201031,0.199575,0.168421,0.12234,0.11831,0.209026,0.094637,0.267327,0.269608]
f_measure
0.1885505439797637 [0.30303,0.118252,0.146993,0.147757,0.16129,0.174603,0.217494,0.09434,0.253589,0.26699]
f_measure
0.1703303498839499 [0.271762,0.133995,0.172566,0.101877,0.15508,0.12234,0.165899,0.097859,0.214834,0.265664]
f_measure
0.19316741896881393 [0.317526,0.166234,0.160183,0.152231,0.147971,0.161111,0.211587,0.105263,0.227273,0.281407]
f_measure
0.16900158462438927 [0.264463,0.124105,0.177874,0.09596,0.111111,0.119403,0.194444,0.09901,0.245431,0.255754]
f_measure
0.2000236364322838 [0.305732,0.121212,0.203024,0.143223,0.140625,0.134048,0.238579,0.114286,0.280098,0.315271]
f_measure
0.1990181690784305 [0.287582,0.175879,0.18018,0.141772,0.204724,0.110193,0.227053,0.113924,0.233831,0.313084]
f_measure
0.17847897106039645 [0.288,0.133676,0.178082,0.133333,0.131313,0.128134,0.216867,0.101587,0.238806,0.232323]
kappa
0.10936923562434163
kappa
0.0965896258375367
kappa
0.10987983377755997
kappa
0.10324490331685486
kappa
0.08213145522168303
kappa
0.10768705929547283
kappa
0.08095104341783971
kappa
0.11604235885013277
kappa
0.1149355869788301
kappa
0.09268906293059766
kb_relative_information_score
312.2640686657823
kb_relative_information_score
302.37810948786904
kb_relative_information_score
306.692818527464
kb_relative_information_score
316.49909040949876
kb_relative_information_score
286.23754848550925
kb_relative_information_score
313.4787131410573
kb_relative_information_score
303.336145057136
kb_relative_information_score
327.7380053631686
kb_relative_information_score
318.69804973582944
kb_relative_information_score
298.00322564414006
mean_absolute_error
0.17127499999999973
mean_absolute_error
0.17154000000000041
mean_absolute_error
0.17144499999999982
mean_absolute_error
0.17094999999999996
mean_absolute_error
0.1724650000000001
mean_absolute_error
0.17091499999999993
mean_absolute_error
0.17166999999999996
mean_absolute_error
0.17023000000000005
mean_absolute_error
0.17095000000000007
mean_absolute_error
0.17192000000000018
mean_prior_absolute_error
0.17999559220389702
mean_prior_absolute_error
0.17999559220389702
mean_prior_absolute_error
0.17999584707646074
mean_prior_absolute_error
0.1799963768115932
mean_prior_absolute_error
0.1799963768115932
mean_prior_absolute_error
0.1799963768115932
mean_prior_absolute_error
0.1799963768115932
mean_prior_absolute_error
0.17999615692153823
mean_prior_absolute_error
0.17999606696651574
mean_prior_absolute_error
0.17999606696651574
number_of_instances
2000 [200,197,204,202,200,193,203,200,203,198]
number_of_instances
2000 [200,197,204,202,200,193,203,200,203,198]
number_of_instances
2000 [201,197,203,202,200,193,203,201,202,198]
number_of_instances
2000 [201,198,203,201,200,194,203,200,202,198]
number_of_instances
2000 [201,198,203,201,200,194,203,200,202,198]
number_of_instances
2000 [201,198,203,201,200,194,203,200,202,198]
number_of_instances
2000 [201,198,203,201,200,194,203,200,202,198]
number_of_instances
2000 [200,197,203,202,199,194,203,200,203,199]
number_of_instances
2000 [200,197,203,202,200,194,203,200,203,198]
number_of_instances
2000 [200,197,203,202,200,194,203,200,203,198]
precision
0.19358727075112586 [0.259928,0.156098,0.138075,0.16568,0.177215,0.165746,0.235577,0.155738,0.23913,0.241706]
precision
0.18147464576568803 [0.273723,0.157895,0.162996,0.117647,0.134328,0.164706,0.168224,0.118182,0.231884,0.285714]
precision
0.19255280629935004 [0.243728,0.204188,0.175373,0.179775,0.130682,0.12963,0.201835,0.12931,0.267327,0.261905]
precision
0.1872998552957839 [0.268199,0.120419,0.134146,0.157303,0.174419,0.179348,0.209091,0.127119,0.24537,0.257009]
precision
0.1697510186562838 [0.237037,0.131707,0.156627,0.110465,0.166667,0.126374,0.155844,0.125984,0.222222,0.263682]
precision
0.19246185897327944 [0.271127,0.171123,0.149573,0.161111,0.141553,0.174699,0.216495,0.126761,0.231959,0.28]
precision
0.17033349676650197 [0.226148,0.117647,0.158915,0.097436,0.112245,0.141844,0.183406,0.145631,0.259669,0.259067]
precision
0.19958000305418352 [0.265683,0.120603,0.180769,0.148148,0.145946,0.139665,0.246073,0.156522,0.279412,0.309179]
precision
0.19809767917540602 [0.254826,0.174129,0.165975,0.145078,0.21547,0.118343,0.222749,0.155172,0.236181,0.291304]
precision
0.17787809272709165 [0.24,0.135417,0.165957,0.138298,0.132653,0.139394,0.212264,0.13913,0.241206,0.232323]
predictive_accuracy
0.1985
predictive_accuracy
0.187
predictive_accuracy
0.19899999999999998
predictive_accuracy
0.193
predictive_accuracy
0.174
predictive_accuracy
0.19699999999999998
predictive_accuracy
0.17300000000000001
predictive_accuracy
0.2045
predictive_accuracy
0.20350000000000001
predictive_accuracy
0.18350000000000002
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
recall
0.1985 [0.36,0.162437,0.161765,0.138614,0.14,0.15544,0.241379,0.095,0.270936,0.257576]
recall
0.187 [0.375,0.182741,0.181373,0.108911,0.135,0.145078,0.17734,0.065,0.236453,0.262626]
recall
0.199 [0.338308,0.19797,0.231527,0.158416,0.115,0.108808,0.216749,0.074627,0.267327,0.277778]
recall
0.193 [0.348259,0.116162,0.162562,0.139303,0.15,0.170103,0.226601,0.075,0.262376,0.277778]
recall
0.174 [0.318408,0.136364,0.192118,0.094527,0.145,0.118557,0.17734,0.08,0.207921,0.267677]
recall
0.197 [0.383085,0.161616,0.172414,0.144279,0.155,0.149485,0.206897,0.09,0.222772,0.282828]
recall
0.173 [0.318408,0.131313,0.20197,0.094527,0.11,0.103093,0.206897,0.075,0.232673,0.252525]
recall
0.2045 [0.36,0.121827,0.231527,0.138614,0.135678,0.128866,0.231527,0.09,0.280788,0.321608]
recall
0.2035 [0.33,0.177665,0.197044,0.138614,0.195,0.103093,0.231527,0.09,0.231527,0.338384]
recall
0.1835 [0.36,0.13198,0.192118,0.128713,0.13,0.118557,0.221675,0.08,0.236453,0.232323]
relative_absolute_error
0.9515510791285451
relative_absolute_error
0.9530233374030727
relative_absolute_error
0.95249419797542
relative_absolute_error
0.9497413393989462
relative_absolute_error
0.95815817548663
relative_absolute_error
0.9495468910404848
relative_absolute_error
0.9537414199158648
relative_absolute_error
0.9457424142350142
relative_absolute_error
0.9497429742828853
relative_absolute_error
0.9551319809225725
root_mean_prior_squared_error
0.29999591621531446
root_mean_prior_squared_error
0.29999591621531446
root_mean_prior_squared_error
0.2999963410084025
root_mean_prior_squared_error
0.2999972239097591
root_mean_prior_squared_error
0.2999972239097591
root_mean_prior_squared_error
0.2999972239097591
root_mean_prior_squared_error
0.2999972239097591
root_mean_prior_squared_error
0.299996857422719
root_mean_prior_squared_error
0.29999670749607354
root_mean_prior_squared_error
0.29999670749607354
root_mean_squared_error
0.29976740983635997
root_mean_squared_error
0.29995291297135274
root_mean_squared_error
0.3000237490599707
root_mean_squared_error
0.2990965563158488
root_mean_squared_error
0.3013370206264076
root_mean_squared_error
0.29906771808404886
root_mean_squared_error
0.3003019313957207
root_mean_squared_error
0.2979433671018707
root_mean_squared_error
0.2990317708873089
root_mean_squared_error
0.30049168041727875
root_relative_squared_error
0.9992383017014456
root_relative_squared_error
0.9998566539021456
root_relative_squared_error
1.0000913612861946
root_relative_squared_error
0.9969977469052139
root_relative_squared_error
1.0044660303825064
root_relative_squared_error
0.9969016185763445
root_relative_squared_error
1.0010157010187977
root_relative_squared_error
0.9931549605602876
root_relative_squared_error
0.996783509336424
root_relative_squared_error
1.0016499278453304
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
67466.11967299941
usercpu_time_millis
67470.32988300089
usercpu_time_millis
67069.25601200055
usercpu_time_millis
67068.02936900021
usercpu_time_millis
67020.33700699758
usercpu_time_millis
67350.85500999958
usercpu_time_millis
66974.55163000086
usercpu_time_millis
66774.01993200147
usercpu_time_millis
67055.16193099902
usercpu_time_millis
66881.71011100167
usercpu_time_millis_testing
53.665576999264886
usercpu_time_millis_testing
53.995893000319484
usercpu_time_millis_testing
52.68358399916906
usercpu_time_millis_testing
52.39184899983229
usercpu_time_millis_testing
56.313916998988134
usercpu_time_millis_testing
53.98001200046565
usercpu_time_millis_testing
54.002602000764455
usercpu_time_millis_testing
55.92982000052871
usercpu_time_millis_testing
52.533086000039475
usercpu_time_millis_testing
53.62729900116392
usercpu_time_millis_training
67412.45409600015
usercpu_time_millis_training
67416.33399000057
usercpu_time_millis_training
67016.57242800138
usercpu_time_millis_training
67015.63752000038
usercpu_time_millis_training
66964.02308999859
usercpu_time_millis_training
67296.87499799911
usercpu_time_millis_training
66920.5490280001
usercpu_time_millis_training
66718.09011200094
usercpu_time_millis_training
67002.62884499898
usercpu_time_millis_training
66828.0828120005