8885041
4826
T van Diessen
167133
Supervised Classification
area_under_roc_curve
7871
sklearn.pipeline.Pipeline(MinMaxScaler=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)
6833838
algorithm
"auto"
7681
leaf_size
30
7681
metric
"minkowski"
7681
metric_params
null
7681
n_jobs
-1
7681
n_neighbors
10
7681
p
2
7681
weights
"uniform"
7681
copy
true
7689
feature_range
[0, 1]
7689
memory
null
7871
openml-python
Sklearn_0.19.1.
40926
CIFAR_10_small
https://www.openml.org/data/download/16797612/cifar-10-small.arff
-1
18685867
description
https://www.openml.org/data/download/18685867/description.xml
-1
18685868
predictions
https://www.openml.org/data/download/18685868/predictions.arff
area_under_roc_curve
0.7457632068858606 [0.832344,0.697762,0.72453,0.68532,0.742123,0.714341,0.751824,0.73294,0.851905,0.721896]
average_cost
0
f_measure
0.29142448281811806 [0.44246,0.237462,0.279675,0.205798,0.284089,0.234857,0.300026,0.255639,0.464744,0.204398]
kappa
0.23415657026826522
kb_relative_information_score
6153.382497227296
mean_absolute_error
0.14947599999996453
mean_prior_absolute_error
0.17999608295848674
number_of_instances
20000 [2005,1974,2032,2016,1999,1937,2030,2001,2025,1981]
precision
0.42529151774837853 [0.373032,0.771588,0.208839,0.287622,0.20506,0.419098,0.322745,0.614068,0.363409,0.701183]
predictive_accuracy
0.31120000000000003
prior_entropy
3.3217862890565693
recall
0.3112 [0.543641,0.140324,0.423228,0.160218,0.462231,0.163139,0.280296,0.161419,0.644444,0.119637]
relative_absolute_error
0.8304402937170516
root_mean_prior_squared_error
0.299996734149702
root_mean_squared_error
0.29156405814160197
root_relative_squared_error
0.9718907739712526
total_cost
0
area_under_roc_curve
0.7448532970538074 [0.85165,0.688845,0.702153,0.683773,0.747129,0.694739,0.770817,0.722133,0.839647,0.744706]
area_under_roc_curve
0.7480689257286693 [0.835756,0.68447,0.71997,0.652054,0.779049,0.706417,0.74258,0.762767,0.840976,0.754515]
area_under_roc_curve
0.7386169182843427 [0.837346,0.696652,0.700885,0.72095,0.734207,0.678067,0.724699,0.74187,0.827356,0.720765]
area_under_roc_curve
0.7566499884879637 [0.824419,0.713978,0.723669,0.716986,0.742683,0.747738,0.750054,0.758089,0.880196,0.706712]
area_under_roc_curve
0.749343895265644 [0.833123,0.69299,0.750361,0.695251,0.714079,0.737109,0.747777,0.740176,0.865684,0.714303]
area_under_roc_curve
0.7446503000005248 [0.83744,0.715831,0.707405,0.685431,0.719711,0.726439,0.765496,0.722957,0.853397,0.710208]
area_under_roc_curve
0.7400180211252759 [0.809294,0.719745,0.722016,0.680021,0.746957,0.704917,0.754015,0.713657,0.830432,0.716747]
area_under_roc_curve
0.7357197673467377 [0.82771,0.661437,0.73059,0.663526,0.735663,0.740852,0.715678,0.689654,0.860709,0.729611]
area_under_roc_curve
0.7521971070059696 [0.846701,0.696411,0.738305,0.688239,0.731944,0.714553,0.781938,0.738478,0.85376,0.728315]
area_under_roc_curve
0.7480653783430993 [0.821711,0.707293,0.751822,0.667686,0.770856,0.69227,0.764591,0.739372,0.86772,0.693203]
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
0.28741670855752205 [0.411642,0.229787,0.294118,0.21875,0.293292,0.164794,0.342391,0.215768,0.409475,0.286885]
f_measure
0.2943363029244353 [0.452975,0.210526,0.264943,0.18123,0.306991,0.176923,0.302387,0.291498,0.464945,0.284519]
f_measure
0.28376963350846957 [0.463115,0.198276,0.252427,0.216216,0.271028,0.308197,0.25,0.246154,0.451499,0.178571]
f_measure
0.30001037604436925 [0.436285,0.278481,0.311644,0.221538,0.301711,0.248175,0.309582,0.265625,0.487223,0.133929]
f_measure
0.2978884791587264 [0.460922,0.218341,0.277419,0.22,0.254601,0.279245,0.284289,0.261538,0.496296,0.222222]
f_measure
0.2987500418136788 [0.430328,0.276151,0.2752,0.206452,0.271722,0.276923,0.306069,0.27907,0.486207,0.175439]
f_measure
0.27199828537225834 [0.400794,0.261603,0.286634,0.193548,0.270833,0.215139,0.283544,0.204082,0.43203,0.166667]
f_measure
0.29086393739336663 [0.438134,0.212389,0.297468,0.175,0.272025,0.270463,0.299169,0.241935,0.479574,0.218341]
f_measure
0.28882366379973223 [0.464066,0.202643,0.261589,0.195122,0.302496,0.19084,0.31016,0.287938,0.465804,0.200837]
f_measure
0.29703968535115943 [0.465209,0.279835,0.276423,0.23053,0.295597,0.203008,0.31405,0.258824,0.475352,0.165217]
kappa
0.22828802537086515
kappa
0.23774703376013387
kappa
0.2251115013964947
kappa
0.24785258577774294
kappa
0.2383900343613956
kappa
0.24004723159268757
kappa
0.21335746815626555
kappa
0.23513275393898292
kappa
0.2328214547595368
kappa
0.24282539536939365
kb_relative_information_score
599.5542777082619
kb_relative_information_score
623.1336412602022
kb_relative_information_score
601.6636994001597
kb_relative_information_score
627.3749988592605
kb_relative_information_score
626.8965041309812
kb_relative_information_score
617.6712928856564
kb_relative_information_score
605.2404693982645
kb_relative_information_score
609.0677883595755
kb_relative_information_score
621.4282782323265
kb_relative_information_score
621.3515469923933
mean_absolute_error
0.1504999999999995
mean_absolute_error
0.1490099999999999
mean_absolute_error
0.15065999999999932
mean_absolute_error
0.14855000000000002
mean_absolute_error
0.1489699999999994
mean_absolute_error
0.14885999999999955
mean_absolute_error
0.15024999999999947
mean_absolute_error
0.14977999999999947
mean_absolute_error
0.14936999999999998
mean_absolute_error
0.14880999999999978
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
0.4168287849557118 [0.352313,0.710526,0.220588,0.29661,0.213152,0.297297,0.381818,0.634146,0.311856,0.76087]
precision
0.4444505493278886 [0.367601,0.774194,0.19759,0.261682,0.220524,0.343284,0.327586,0.765957,0.371681,0.829268]
precision
0.412315607138977 [0.393728,0.657143,0.187952,0.340426,0.196833,0.419643,0.278788,0.542373,0.350685,0.769231]
precision
0.42574250549598114 [0.385496,0.846154,0.238845,0.290323,0.218962,0.425,0.308824,0.607143,0.371429,0.576923]
precision
0.43939503182918743 [0.385906,0.806452,0.206235,0.333333,0.183628,0.521127,0.287879,0.566667,0.39645,0.722222]
precision
0.43860359589935005 [0.365854,0.804878,0.203791,0.293578,0.198614,0.545455,0.329545,0.62069,0.373016,0.666667]
precision
0.4095239881587442 [0.333333,0.794872,0.212919,0.275229,0.192797,0.473684,0.291667,0.555556,0.346269,0.633333]
precision
0.4446650036071896 [0.368601,0.827586,0.219114,0.237288,0.196429,0.436782,0.341772,0.625,0.375,0.833333]
precision
0.41273970699359025 [0.393728,0.766667,0.197007,0.253968,0.214137,0.367647,0.339181,0.649123,0.372781,0.585366]
precision
0.41417845845527984 [0.386139,0.73913,0.206311,0.310924,0.215596,0.375,0.35625,0.6,0.369863,0.59375]
predictive_accuracy
0.306
predictive_accuracy
0.3145
predictive_accuracy
0.303
predictive_accuracy
0.3235
predictive_accuracy
0.315
predictive_accuracy
0.3165
predictive_accuracy
0.2925
predictive_accuracy
0.312
predictive_accuracy
0.31
predictive_accuracy
0.319
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
0.306 [0.495,0.137056,0.441176,0.173267,0.47,0.11399,0.310345,0.13,0.596059,0.176768]
recall
0.3145 [0.59,0.121827,0.401961,0.138614,0.505,0.119171,0.280788,0.18,0.62069,0.171717]
recall
0.303 [0.562189,0.116751,0.384236,0.158416,0.435,0.243523,0.226601,0.159204,0.633663,0.10101]
recall
0.3235 [0.502488,0.166667,0.448276,0.179104,0.485,0.175258,0.310345,0.17,0.707921,0.075758]
recall
0.315 [0.572139,0.126263,0.423645,0.164179,0.415,0.190722,0.280788,0.17,0.663366,0.131313]
recall
0.3165 [0.522388,0.166667,0.423645,0.159204,0.43,0.185567,0.285714,0.18,0.69802,0.10101]
recall
0.2925 [0.502488,0.156566,0.438424,0.149254,0.455,0.139175,0.275862,0.125,0.574257,0.09596]
recall
0.312 [0.54,0.121827,0.463054,0.138614,0.442211,0.195876,0.26601,0.15,0.665025,0.125628]
recall
0.31 [0.565,0.116751,0.389163,0.158416,0.515,0.128866,0.285714,0.185,0.62069,0.121212]
recall
0.319 [0.585,0.172589,0.418719,0.183168,0.47,0.139175,0.280788,0.165,0.665025,0.09596]
relative_absolute_error
0.8361315860974793
relative_absolute_error
0.8278536056105363
relative_absolute_error
0.8370193115400056
relative_absolute_error
0.8252943899837001
relative_absolute_error
0.8276277702852326
relative_absolute_error
0.8270166468729263
relative_absolute_error
0.8347390245375327
relative_absolute_error
0.8321288774253651
relative_absolute_error
0.8298514657422317
relative_absolute_error
0.8267402866512775
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
0.29378393421016097
root_mean_squared_error
0.2898965332666122
root_mean_squared_error
0.2934280150224245
root_mean_squared_error
0.2887715359934219
root_mean_squared_error
0.2911185325601927
root_mean_squared_error
0.29152015367723766
root_mean_squared_error
0.2932780250888231
root_mean_squared_error
0.29254572292207615
root_mean_squared_error
0.29044792992892915
root_mean_squared_error
0.2908074964645855
root_relative_squared_error
0.9792931114412404
root_relative_squared_error
0.9663349319013607
root_relative_squared_error
0.978105313005154
root_relative_squared_error
0.962580694014309
root_relative_squared_error
0.9704040882983732
root_relative_squared_error
0.9717428377434874
root_relative_squared_error
0.9776024633382703
root_relative_squared_error
0.9751626248199541
root_relative_squared_error
0.9681703921124888
root_relative_squared_error
0.9693689603856458
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