477101
531
Florian Fendt
4627
Supervised Classification
predictive_accuracy
1761
classif.rpart(35)
2386
xval
0
1761
seed
1
1761
kind
Mersenne-Twister
1761
normal.kind
Inversion
1761
1074
desharnais
https://www.openml.org/data/download/53957/desharnais.arff
-1
1682274
description
https://api.openml.org/data/download/1682274/file24281bc38a6b
-1
1682275
predictions
https://api.openml.org/data/download/1682275/file242842b4850a
area_under_roc_curve
0.679724 [0.716183,0.707507,0.442556]
average_cost
0
f_measure
0.642714 [0.77175,0.657143,0.013072]
kappa
0.378123
kb_relative_information_score
233.225074
mean_absolute_error
0.280614
mean_prior_absolute_error
0.380364
number_of_instances
810 [460,250,100]
precision
0.623494 [0.729207,0.670833,0.018868]
predictive_accuracy
0.665432
prior_entropy
1.376474
recall
0.665432 [0.819565,0.644,0.01]
relative_absolute_error
0.73775
root_mean_prior_squared_error
0.434785
root_mean_squared_error
0.401397
root_relative_squared_error
0.923207
total_cost
0
area_under_roc_curve
0.763889 [0.775,0.916667,0.25]
area_under_roc_curve
0.805556 [0.9,0.833333,0.25]
area_under_roc_curve
0.796296 [0.825,0.805556,0.625]
area_under_roc_curve
0.881944 [1,0.916667,0.1875]
area_under_roc_curve
0.488426 [0.425,0.611111,0.4375]
area_under_roc_curve
0.75 [0.75,0.833333,0.5]
area_under_roc_curve
0.409722 [0.525,0.333333,0.0625]
area_under_roc_curve
0.736111 [0.75,0.833333,0.375]
area_under_roc_curve
0.865741 [0.875,0.805556,1]
area_under_roc_curve
0.75 [0.875,0.75,0.125]
area_under_roc_curve
0.821429 [0.8,1,0.571429]
area_under_roc_curve
0.723214 [0.733333,0.916667,0.285714]
area_under_roc_curve
0.772321 [0.766667,0.958333,0.428571]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.732143 [0.75,0.833333,0.357143]
area_under_roc_curve
0.848214 [0.875,1,0.285714]
area_under_roc_curve
0.822917 [0.833333,0.708333,1]
area_under_roc_curve
0.690476 [0.833333,0.5,0.357143]
area_under_roc_curve
0.425595 [0.4,0.416667,0.571429]
area_under_roc_curve
0.520833 [0.666667,0.416667,0]
area_under_roc_curve
0.71131 [0.733333,0.583333,0.857143]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.776786 [0.8,0.75,0.714286]
area_under_roc_curve
0.815476 [0.833333,1,0.357143]
area_under_roc_curve
0.725 [0.75,0.6,1]
area_under_roc_curve
0.630357 [0.625,0.8,0.142857]
area_under_roc_curve
0.815476 [0.833333,1,0.357143]
area_under_roc_curve
0.407738 [0.4,0.416667,0.428571]
area_under_roc_curve
0.797619 [0.9,0.833333,0.214286]
area_under_roc_curve
0.723214 [0.733333,0.916667,0.285714]
area_under_roc_curve
0.833333 [0.833333,1,0.5]
area_under_roc_curve
0.815476 [0.833333,1,0.357143]
area_under_roc_curve
0.526786 [0.533333,0.416667,0.714286]
area_under_roc_curve
0.815476 [0.833333,1,0.357143]
area_under_roc_curve
0.623214 [0.625,0.733333,0.285714]
area_under_roc_curve
0.848214 [0.875,1,0.285714]
area_under_roc_curve
0.872024 [1,0.916667,0.142857]
area_under_roc_curve
0.822917 [0.833333,0.708333,1]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.815476 [0.833333,1,0.357143]
area_under_roc_curve
0.869048 [0.9,0.833333,0.785714]
area_under_roc_curve
0.96131 [1,0.916667,0.857143]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.675595 [0.7,0.666667,0.571429]
area_under_roc_curve
0.848214 [0.875,1,0.285714]
area_under_roc_curve
0.876339 [0.90625,0.866667,0.785714]
area_under_roc_curve
0.675595 [0.666667,0.75,0.571429]
area_under_roc_curve
0.721726 [0.733333,0.875,0.357143]
area_under_roc_curve
0.614583 [0.6,0.708333,0.5]
area_under_roc_curve
0.614583 [0.6,0.708333,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.776786 [0.8,0.75,0.714286]
area_under_roc_curve
0.815476 [0.833333,1,0.357143]
area_under_roc_curve
0.755952 [0.766667,1,0.214286]
area_under_roc_curve
0.925595 [1,0.916667,0.571429]
area_under_roc_curve
0.822917 [0.833333,0.708333,1]
area_under_roc_curve
0.815476 [0.833333,1,0.357143]
area_under_roc_curve
0.357143 [0.433333,0.166667,0.357143]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.848214 [0.875,1,0.285714]
area_under_roc_curve
0.732143 [0.75,0.833333,0.357143]
area_under_roc_curve
0.611161 [0.71875,0.6,0.214286]
area_under_roc_curve
0.676786 [0.625,0.733333,0.714286]
area_under_roc_curve
0.514286 [0.5,0.466667,0.714286]
area_under_roc_curve
0.869048 [0.9,0.833333,0.785714]
area_under_roc_curve
0.833333 [0.833333,1,0.5]
area_under_roc_curve
0.83125 [0.8125,0.966667,0.5]
area_under_roc_curve
0.9 [1,0.9,0.5]
area_under_roc_curve
0.866071 [0.875,1,0.428571]
area_under_roc_curve
0.594643 [0.625,0.466667,0.857143]
area_under_roc_curve
0.633929 [0.625,0.666667,0.571429]
area_under_roc_curve
0.717857 [0.75,0.7,0.642857]
area_under_roc_curve
0.626786 [0.625,0.766667,0.214286]
area_under_roc_curve
0.75 [0.75,0.833333,0.5]
area_under_roc_curve
0.797619 [0.9,0.833333,0.214286]
area_under_roc_curve
0.696429 [0.833333,0.666667,0.071429]
area_under_roc_curve
0.601786 [0.625,0.533333,0.714286]
area_under_roc_curve
0.637946 [0.59375,0.766667,0.428571]
area_under_roc_curve
0.623214 [0.625,0.733333,0.285714]
area_under_roc_curve
0.710714 [0.75,0.633333,0.785714]
area_under_roc_curve
0.717857 [0.75,0.7,0.642857]
area_under_roc_curve
0.75 [0.75,0.833333,0.5]
area_under_roc_curve
0.75 [0.75,0.833333,0.5]
area_under_roc_curve
0.505357 [0.625,0.466667,0.142857]
area_under_roc_curve
0.425595 [0.4,0.416667,0.571429]
area_under_roc_curve
0.473214 [0.466667,0.583333,0.285714]
area_under_roc_curve
0.341964 [0.3125,0.4,0.285714]
area_under_roc_curve
0.852679 [0.8125,1,0.571429]
area_under_roc_curve
0.499107 [0.5625,0.533333,0.142857]
area_under_roc_curve
0.819643 [0.875,0.733333,0.857143]
area_under_roc_curve
0.676786 [0.625,0.9,0.214286]
area_under_roc_curve
0.633929 [0.625,0.666667,0.571429]
area_under_roc_curve
0.676786 [0.625,0.9,0.214286]
area_under_roc_curve
0.702232 [0.84375,0.7,0.142857]
area_under_roc_curve
0.785714 [0.8,1,0.285714]
area_under_roc_curve
0.675595 [0.666667,0.75,0.571429]
area_under_roc_curve
0.710714 [0.75,0.633333,0.785714]
area_under_roc_curve
0.739286 [0.75,0.9,0.214286]
area_under_roc_curve
0.901786 [0.875,1,0.714286]
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
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
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
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
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
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
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
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
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
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
0.730159 [0.8,0.857143,0]
f_measure
0.743827 [0.888889,0.75,0]
f_measure
0.592593 [0.666667,0.666667,0]
f_measure
0.84127 [1,0.857143,0]
f_measure
0.380247 [0.444444,0.4,0]
f_measure
0.62963 [0.833333,0.5,0]
f_measure
0.37037 [0.666667,0,0]
f_measure
0.72963 [0.833333,0.8,0]
f_measure
0.72963 [0.833333,0.8,0]
f_measure
0.727273 [0.909091,0.666667,0]
f_measure
0.75 [0.8,1,0]
f_measure
0.7 [0.8,0.8,0]
f_measure
0.666667 [0.8,0.666667,0]
f_measure
0.818182 [0.909091,1,0]
f_measure
0.818182 [0.909091,1,0]
f_measure
0.7 [0.8,0.8,0]
f_measure
0.819444 [0.888889,1,0]
f_measure
0.6875 [0.833333,0.666667,0]
f_measure
0.734848 [0.909091,0.666667,0]
f_measure
0.416667 [0.666667,0,0]
f_measure
0.520833 [0.833333,0,0]
f_measure
0.6 [0.8,0.4,0]
f_measure
0.480769 [0.769231,0,0]
f_measure
0.611607 [0.75,0.571429,0]
f_measure
0.818182 [0.909091,1,0]
f_measure
0.551136 [0.727273,0.5,0]
f_measure
0.566964 [0.571429,0.75,0]
f_measure
0.818182 [0.909091,1,0]
f_measure
0.416667 [0.666667,0,0]
f_measure
0.722222 [0.888889,0.666667,0]
f_measure
0.7 [0.8,0.8,0]
f_measure
0.734848 [0.909091,0.666667,0]
f_measure
0.818182 [0.909091,1,0]
f_measure
0.383929 [0.5,0.285714,0]
f_measure
0.818182 [0.909091,1,0]
f_measure
0.583333 [0.666667,0.666667,0]
f_measure
0.819444 [0.888889,1,0]
f_measure
0.825 [1,0.8,0]
f_measure
0.6875 [0.833333,0.666667,0]
f_measure
0.480769 [0.769231,0,0]
f_measure
0.818182 [0.909091,1,0]
f_measure
0.722222 [0.888889,0.666667,0]
f_measure
0.825 [1,0.8,0]
f_measure
0.480769 [0.769231,0,0]
f_measure
0.579545 [0.727273,0.5,0]
f_measure
0.819444 [0.888889,1,0]
f_measure
0.666071 [0.857143,0.5,0.4]
f_measure
0.6875 [0.833333,0.666667,0]
f_measure
0.541667 [0.666667,0.5,0]
f_measure
0.621212 [0.727273,0.666667,0]
f_measure
0.621212 [0.727273,0.666667,0]
f_measure
0.480769 [0.769231,0,0]
f_measure
0.611607 [0.75,0.571429,0]
f_measure
0.818182 [0.909091,1,0]
f_measure
0.666667 [0.666667,1,0]
f_measure
0.66875 [0.75,0.8,0]
f_measure
0.6875 [0.833333,0.666667,0]
f_measure
0.818182 [0.909091,1,0]
f_measure
0.277778 [0.444444,0,0]
f_measure
0.818182 [0.909091,1,0]
f_measure
0.819444 [0.888889,1,0]
f_measure
0.7 [0.8,0.8,0]
f_measure
0.625 [0.75,0.666667,0]
f_measure
0.583333 [0.666667,0.666667,0]
f_measure
0.409722 [0.444444,0.5,0]
f_measure
0.722222 [0.888889,0.666667,0]
f_measure
0.734848 [0.909091,0.666667,0]
f_measure
0.675 [0.75,0.8,0]
f_measure
0.654762 [0.666667,0.857143,0]
f_measure
0.631944 [0.888889,0.5,0]
f_measure
0.458333 [0.666667,0.333333,0]
f_measure
0.551136 [0.727273,0.5,0]
f_measure
0.583333 [0.666667,0.666667,0]
f_measure
0.464286 [0.5,0.571429,0]
f_measure
0.5875 [0.8,0.5,0]
f_measure
0.635417 [0.75,0.666667,0]
f_measure
0.693182 [0.909091,0.5,0]
f_measure
0.473214 [0.571429,0.5,0]
f_measure
0.435714 [0.571429,0.4,0]
f_measure
0.583333 [0.666667,0.666667,0]
f_measure
0.589286 [0.75,0.571429,0]
f_measure
0.583333 [0.666667,0.666667,0]
f_measure
0.5875 [0.8,0.5,0]
f_measure
0.5875 [0.8,0.5,0]
f_measure
0.458333 [0.666667,0.333333,0]
f_measure
0.416667 [0.666667,0,0]
f_measure
0.475 [0.6,0.4,0]
f_measure
0.2 [0.4,0,0]
f_measure
0.607143 [0.571429,0.857143,0]
f_measure
0.5 [0.571429,0.571429,0]
f_measure
0.694444 [0.888889,0.666667,0]
f_measure
0.55 [0.5,0.8,0]
f_measure
0.551136 [0.727273,0.5,0]
f_measure
0.55 [0.5,0.8,0]
f_measure
0.625 [0.75,0.666667,0]
f_measure
0.75 [0.8,1,0]
f_measure
0.6875 [0.833333,0.666667,0]
f_measure
0.589286 [0.75,0.571429,0]
f_measure
0.696429 [0.75,0.857143,0]
f_measure
0.660714 [0.571429,1,0]
kappa
0.590909
kappa
0.608696
kappa
0.28
kappa
0.795455
kappa
-0.038462
kappa
0.357143
kappa
-0.125
kappa
0.55
kappa
0.55
kappa
0.571429
kappa
0.529412
kappa
0.515152
kappa
0.314286
kappa
0.733333
kappa
0.733333
kappa
0.529412
kappa
0.771429
kappa
0.407407
kappa
0.483871
kappa
-0.185185
kappa
0.111111
kappa
0.272727
kappa
0
kappa
0.384615
kappa
0.733333
kappa
0.272727
kappa
0.351351
kappa
0.733333
kappa
-0.142857
kappa
0.555556
kappa
0.515152
kappa
0.483871
kappa
0.733333
kappa
-0.025641
kappa
0.733333
kappa
0.314286
kappa
0.771429
kappa
0.757576
kappa
0.407407
kappa
0
kappa
0.733333
kappa
0.555556
kappa
0.757576
kappa
0
kappa
0.2
kappa
0.771429
kappa
0.466667
kappa
0.407407
kappa
0.157895
kappa
0.225806
kappa
0.225806
kappa
0
kappa
0.384615
kappa
0.733333
kappa
0.368421
kappa
0.414634
kappa
0.407407
kappa
0.733333
kappa
-0.263158
kappa
0.733333
kappa
0.771429
kappa
0.529412
kappa
0.368421
kappa
0.314286
kappa
-0.025641
kappa
0.555556
kappa
0.483871
kappa
0.4
kappa
0.428571
kappa
0.384615
kappa
0.085714
kappa
0.272727
kappa
0.368421
kappa
0.111111
kappa
0.333333
kappa
0.4
kappa
0.466667
kappa
0.135135
kappa
0.069767
kappa
0.314286
kappa
0.333333
kappa
0.368421
kappa
0.333333
kappa
0.333333
kappa
0.085714
kappa
-0.185185
kappa
0.030303
kappa
-0.411765
kappa
0.384615
kappa
0.179487
kappa
0.542857
kappa
0.2
kappa
0.272727
kappa
0.2
kappa
0.368421
kappa
0.529412
kappa
0.407407
kappa
0.333333
kappa
0.555556
kappa
0.414634
kb_relative_information_score
3.630659
kb_relative_information_score
3.53827
kb_relative_information_score
2.64768
kb_relative_information_score
4.615441
kb_relative_information_score
-0.469168
kb_relative_information_score
2.436271
kb_relative_information_score
-0.396346
kb_relative_information_score
3.447566
kb_relative_information_score
4.15615
kb_relative_information_score
3.399517
kb_relative_information_score
2.767051
kb_relative_information_score
2.559017
kb_relative_information_score
1.78334
kb_relative_information_score
4.296331
kb_relative_information_score
4.804624
kb_relative_information_score
3.474056
kb_relative_information_score
4.299378
kb_relative_information_score
3.142912
kb_relative_information_score
2.575145
kb_relative_information_score
0.062202
kb_relative_information_score
1.014694
kb_relative_information_score
1.197769
kb_relative_information_score
1.654586
kb_relative_information_score
1.557277
kb_relative_information_score
3.579687
kb_relative_information_score
2.653135
kb_relative_information_score
2.154113
kb_relative_information_score
3.579687
kb_relative_information_score
0.683098
kb_relative_information_score
2.556236
kb_relative_information_score
2.47317
kb_relative_information_score
2.568392
kb_relative_information_score
3.579687
kb_relative_information_score
-0.684764
kb_relative_information_score
3.579687
kb_relative_information_score
2.077394
kb_relative_information_score
4.299378
kb_relative_information_score
3.539698
kb_relative_information_score
3.142912
kb_relative_information_score
1.196773
kb_relative_information_score
4.016793
kb_relative_information_score
2.609222
kb_relative_information_score
4.047991
kb_relative_information_score
1.196773
kb_relative_information_score
1.297979
kb_relative_information_score
4.299378
kb_relative_information_score
2.938906
kb_relative_information_score
2.420495
kb_relative_information_score
1.237301
kb_relative_information_score
1.514784
kb_relative_information_score
1.594505
kb_relative_information_score
1.654586
kb_relative_information_score
1.322428
kb_relative_information_score
4.016793
kb_relative_information_score
2.178652
kb_relative_information_score
2.76702
kb_relative_information_score
3.142912
kb_relative_information_score
4.016793
kb_relative_information_score
-1.203045
kb_relative_information_score
4.804624
kb_relative_information_score
4.625118
kb_relative_information_score
3.139235
kb_relative_information_score
2.129156
kb_relative_information_score
2.127496
kb_relative_information_score
1.595603
kb_relative_information_score
2.609222
kb_relative_information_score
3.005498
kb_relative_information_score
2.543092
kb_relative_information_score
3.400003
kb_relative_information_score
2.58705
kb_relative_information_score
0.667955
kb_relative_information_score
1.910658
kb_relative_information_score
1.827986
kb_relative_information_score
1.572243
kb_relative_information_score
2.462761
kb_relative_information_score
2.067668
kb_relative_information_score
2.305664
kb_relative_information_score
0.819661
kb_relative_information_score
0.53445
kb_relative_information_score
2.004001
kb_relative_information_score
1.746514
kb_relative_information_score
1.939247
kb_relative_information_score
2.12794
kb_relative_information_score
2.12794
kb_relative_information_score
0.698337
kb_relative_information_score
0.0395
kb_relative_information_score
0.392852
kb_relative_information_score
-1.563333
kb_relative_information_score
2.794602
kb_relative_information_score
0.605944
kb_relative_information_score
2.606646
kb_relative_information_score
1.962248
kb_relative_information_score
1.910658
kb_relative_information_score
1.962248
kb_relative_information_score
2.233259
kb_relative_information_score
3.092792
kb_relative_information_score
2.420495
kb_relative_information_score
1.746514
kb_relative_information_score
3.334421
kb_relative_information_score
4.06414
mean_absolute_error
0.24093
mean_absolute_error
0.245276
mean_absolute_error
0.268216
mean_absolute_error
0.195484
mean_absolute_error
0.414777
mean_absolute_error
0.279223
mean_absolute_error
0.410142
mean_absolute_error
0.242186
mean_absolute_error
0.236461
mean_absolute_error
0.244553
mean_absolute_error
0.245398
mean_absolute_error
0.259404
mean_absolute_error
0.287944
mean_absolute_error
0.19948
mean_absolute_error
0.168301
mean_absolute_error
0.23103
mean_absolute_error
0.20058
mean_absolute_error
0.250496
mean_absolute_error
0.250658
mean_absolute_error
0.37303
mean_absolute_error
0.325401
mean_absolute_error
0.321429
mean_absolute_error
0.284188
mean_absolute_error
0.307381
mean_absolute_error
0.206597
mean_absolute_error
0.299107
mean_absolute_error
0.312917
mean_absolute_error
0.206597
mean_absolute_error
0.333028
mean_absolute_error
0.258542
mean_absolute_error
0.264468
mean_absolute_error
0.248264
mean_absolute_error
0.206597
mean_absolute_error
0.418561
mean_absolute_error
0.206597
mean_absolute_error
0.307023
mean_absolute_error
0.20058
mean_absolute_error
0.208583
mean_absolute_error
0.250496
mean_absolute_error
0.313406
mean_absolute_error
0.180217
mean_absolute_error
0.254045
mean_absolute_error
0.177404
mean_absolute_error
0.313406
mean_absolute_error
0.316126
mean_absolute_error
0.20058
mean_absolute_error
0.282756
mean_absolute_error
0.257839
mean_absolute_error
0.310053
mean_absolute_error
0.302121
mean_absolute_error
0.297371
mean_absolute_error
0.284188
mean_absolute_error
0.325089
mean_absolute_error
0.180217
mean_absolute_error
0.270809
mean_absolute_error
0.235326
mean_absolute_error
0.250496
mean_absolute_error
0.180217
mean_absolute_error
0.430995
mean_absolute_error
0.168301
mean_absolute_error
0.181023
mean_absolute_error
0.251736
mean_absolute_error
0.305308
mean_absolute_error
0.30304
mean_absolute_error
0.342643
mean_absolute_error
0.254045
mean_absolute_error
0.221883
mean_absolute_error
0.27918
mean_absolute_error
0.234462
mean_absolute_error
0.265476
mean_absolute_error
0.372449
mean_absolute_error
0.307484
mean_absolute_error
0.330363
mean_absolute_error
0.325687
mean_absolute_error
0.272696
mean_absolute_error
0.277201
mean_absolute_error
0.265046
mean_absolute_error
0.374109
mean_absolute_error
0.374259
mean_absolute_error
0.311343
mean_absolute_error
0.325362
mean_absolute_error
0.327381
mean_absolute_error
0.293403
mean_absolute_error
0.293403
mean_absolute_error
0.372449
mean_absolute_error
0.374457
mean_absolute_error
0.360615
mean_absolute_error
0.480868
mean_absolute_error
0.270574
mean_absolute_error
0.387513
mean_absolute_error
0.283234
mean_absolute_error
0.305409
mean_absolute_error
0.307484
mean_absolute_error
0.305409
mean_absolute_error
0.297024
mean_absolute_error
0.22584
mean_absolute_error
0.257839
mean_absolute_error
0.325362
mean_absolute_error
0.249583
mean_absolute_error
0.231485
mean_prior_absolute_error
0.380952
mean_prior_absolute_error
0.380952
mean_prior_absolute_error
0.380952
mean_prior_absolute_error
0.380952
mean_prior_absolute_error
0.380952
mean_prior_absolute_error
0.380952
mean_prior_absolute_error
0.380952
mean_prior_absolute_error
0.380952
mean_prior_absolute_error
0.380952
mean_prior_absolute_error
0.380952
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.371032
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
mean_prior_absolute_error
0.391865
number_of_instances
9 [5,3,1]
number_of_instances
9 [5,3,1]
number_of_instances
9 [5,3,1]
number_of_instances
9 [5,3,1]
number_of_instances
9 [5,3,1]
number_of_instances
9 [5,3,1]
number_of_instances
9 [5,3,1]
number_of_instances
9 [5,3,1]
number_of_instances
9 [5,3,1]
number_of_instances
9 [5,3,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [5,2,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
number_of_instances
8 [4,3,1]
precision
0.694444 [0.8,0.75,0]
precision
0.755556 [1,0.6,0]
precision
0.638889 [0.75,0.666667,0]
precision
0.805556 [1,0.75,0]
precision
0.444444 [0.5,0.5,0]
precision
0.730159 [0.714286,1,0]
precision
0.31746 [0.571429,0,0]
precision
0.730159 [0.714286,1,0]
precision
0.730159 [0.714286,1,0]
precision
0.685185 [0.833333,0.666667,0]
precision
0.75 [0.8,1,0]
precision
0.666667 [0.8,0.666667,0]
precision
0.75 [0.8,1,0]
precision
0.770833 [0.833333,1,0]
precision
0.770833 [0.833333,1,0]
precision
0.708333 [0.666667,1,0]
precision
0.775 [0.8,1,0]
precision
0.696429 [0.714286,1,0]
precision
0.770833 [0.833333,1,0]
precision
0.357143 [0.571429,0,0]
precision
0.446429 [0.714286,0,0]
precision
0.583333 [0.8,0.333333,0]
precision
0.390625 [0.625,0,0]
precision
0.725 [1,0.4,0]
precision
0.770833 [0.833333,1,0]
precision
0.660714 [0.571429,1,0]
precision
0.558333 [0.666667,0.6,0]
precision
0.770833 [0.833333,1,0]
precision
0.357143 [0.571429,0,0]
precision
0.75 [1,0.5,0]
precision
0.666667 [0.8,0.666667,0]
precision
0.770833 [0.833333,1,0]
precision
0.770833 [0.833333,1,0]
precision
0.466667 [0.666667,0.2,0]
precision
0.770833 [0.833333,1,0]
precision
0.55 [0.6,0.666667,0]
precision
0.775 [0.8,1,0]
precision
0.791667 [1,0.666667,0]
precision
0.696429 [0.714286,1,0]
precision
0.390625 [0.625,0,0]
precision
0.770833 [0.833333,1,0]
precision
0.75 [1,0.5,0]
precision
0.791667 [1,0.666667,0]
precision
0.390625 [0.625,0,0]
precision
0.541667 [0.666667,0.5,0]
precision
0.775 [0.8,1,0]
precision
0.90625 [1,1,0.25]
precision
0.696429 [0.714286,1,0]
precision
0.59375 [0.75,0.5,0]
precision
0.666667 [0.666667,1,0]
precision
0.666667 [0.666667,1,0]
precision
0.390625 [0.625,0,0]
precision
0.725 [1,0.4,0]
precision
0.770833 [0.833333,1,0]
precision
0.71875 [0.75,1,0]
precision
0.791667 [1,0.666667,0]
precision
0.696429 [0.714286,1,0]
precision
0.770833 [0.833333,1,0]
precision
0.3125 [0.5,0,0]
precision
0.770833 [0.833333,1,0]
precision
0.775 [0.8,1,0]
precision
0.708333 [0.666667,1,0]
precision
0.625 [0.75,0.666667,0]
precision
0.55 [0.6,0.666667,0]
precision
0.575 [0.4,1,0]
precision
0.75 [1,0.5,0]
precision
0.770833 [0.833333,1,0]
precision
0.75 [0.75,1,0]
precision
0.78125 [1,0.75,0]
precision
0.775 [0.8,1,0]
precision
0.425 [0.6,0.333333,0]
precision
0.660714 [0.571429,1,0]
precision
0.6875 [1,0.5,0]
precision
0.4375 [0.5,0.5,0]
precision
0.708333 [0.666667,1,0]
precision
0.75 [1,0.5,0]
precision
0.645833 [0.833333,0.5,0]
precision
0.483333 [0.666667,0.4,0]
precision
0.520833 [0.666667,0.5,0]
precision
0.55 [0.6,0.666667,0]
precision
0.5625 [0.75,0.5,0]
precision
0.6875 [1,0.5,0]
precision
0.708333 [0.666667,1,0]
precision
0.708333 [0.666667,1,0]
precision
0.425 [0.6,0.333333,0]
precision
0.357143 [0.571429,0,0]
precision
0.458333 [0.6,0.333333,0]
precision
0.166667 [0.333333,0,0]
precision
0.614583 [0.666667,0.75,0]
precision
0.520833 [0.666667,0.5,0]
precision
0.65 [0.8,0.666667,0]
precision
0.625 [0.5,1,0]
precision
0.660714 [0.571429,1,0]
precision
0.625 [0.5,1,0]
precision
0.625 [0.75,0.666667,0]
precision
0.75 [0.8,1,0]
precision
0.696429 [0.714286,1,0]
precision
0.5625 [0.75,0.5,0]
precision
0.65625 [0.75,0.75,0]
precision
0.708333 [0.666667,1,0]
predictive_accuracy
0.777778
predictive_accuracy
0.777778
predictive_accuracy
0.555556
predictive_accuracy
0.888889
predictive_accuracy
0.333333
predictive_accuracy
0.666667
predictive_accuracy
0.444444
predictive_accuracy
0.777778
predictive_accuracy
0.777778
predictive_accuracy
0.777778
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.625
predictive_accuracy
0.875
predictive_accuracy
0.875
predictive_accuracy
0.75
predictive_accuracy
0.875
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.5
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.875
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.875
predictive_accuracy
0.5
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.875
predictive_accuracy
0.375
predictive_accuracy
0.875
predictive_accuracy
0.625
predictive_accuracy
0.875
predictive_accuracy
0.875
predictive_accuracy
0.75
predictive_accuracy
0.625
predictive_accuracy
0.875
predictive_accuracy
0.75
predictive_accuracy
0.875
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.875
predictive_accuracy
0.625
predictive_accuracy
0.75
predictive_accuracy
0.5
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.875
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.75
predictive_accuracy
0.875
predictive_accuracy
0.25
predictive_accuracy
0.875
predictive_accuracy
0.875
predictive_accuracy
0.75
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.375
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.5
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.5
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.75
predictive_accuracy
0.5
predictive_accuracy
0.375
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.25
predictive_accuracy
0.625
predictive_accuracy
0.5
predictive_accuracy
0.75
predictive_accuracy
0.5
predictive_accuracy
0.625
predictive_accuracy
0.5
predictive_accuracy
0.625
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.625
predictive_accuracy
0.75
predictive_accuracy
0.625
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
prior_entropy
1.376474
recall
0.777778 [0.8,1,0]
recall
0.777778 [0.8,1,0]
recall
0.555556 [0.6,0.666667,0]
recall
0.888889 [1,1,0]
recall
0.333333 [0.4,0.333333,0]
recall
0.666667 [1,0.333333,0]
recall
0.444444 [0.8,0,0]
recall
0.777778 [1,0.666667,0]
recall
0.777778 [1,0.666667,0]
recall
0.777778 [1,0.666667,0]
recall
0.75 [0.8,1,0]
recall
0.75 [0.8,1,0]
recall
0.625 [0.8,0.5,0]
recall
0.875 [1,1,0]
recall
0.875 [1,1,0]
recall
0.75 [1,0.666667,0]
recall
0.875 [1,1,0]
recall
0.75 [1,0.5,0]
recall
0.75 [1,0.5,0]
recall
0.5 [0.8,0,0]
recall
0.625 [1,0,0]
recall
0.625 [0.8,0.5,0]
recall
0.625 [1,0,0]
recall
0.625 [0.6,1,0]
recall
0.875 [1,1,0]
recall
0.625 [1,0.333333,0]
recall
0.625 [0.5,1,0]
recall
0.875 [1,1,0]
recall
0.5 [0.8,0,0]
recall
0.75 [0.8,1,0]
recall
0.75 [0.8,1,0]
recall
0.75 [1,0.5,0]
recall
0.875 [1,1,0]
recall
0.375 [0.4,0.5,0]
recall
0.875 [1,1,0]
recall
0.625 [0.75,0.666667,0]
recall
0.875 [1,1,0]
recall
0.875 [1,1,0]
recall
0.75 [1,0.5,0]
recall
0.625 [1,0,0]
recall
0.875 [1,1,0]
recall
0.75 [0.8,1,0]
recall
0.875 [1,1,0]
recall
0.625 [1,0,0]
recall
0.625 [0.8,0.5,0]
recall
0.875 [1,1,0]
recall
0.625 [0.75,0.333333,1]
recall
0.75 [1,0.5,0]
recall
0.5 [0.6,0.5,0]
recall
0.625 [0.8,0.5,0]
recall
0.625 [0.8,0.5,0]
recall
0.625 [1,0,0]
recall
0.625 [0.6,1,0]
recall
0.875 [1,1,0]
recall
0.625 [0.6,1,0]
recall
0.625 [0.6,1,0]
recall
0.75 [1,0.5,0]
recall
0.875 [1,1,0]
recall
0.25 [0.4,0,0]
recall
0.875 [1,1,0]
recall
0.875 [1,1,0]
recall
0.75 [1,0.666667,0]
recall
0.625 [0.75,0.666667,0]
recall
0.625 [0.75,0.666667,0]
recall
0.375 [0.5,0.333333,0]
recall
0.75 [0.8,1,0]
recall
0.75 [1,0.5,0]
recall
0.625 [0.75,0.666667,0]
recall
0.625 [0.5,1,0]
recall
0.625 [1,0.333333,0]
recall
0.5 [0.75,0.333333,0]
recall
0.625 [1,0.333333,0]
recall
0.625 [0.5,1,0]
recall
0.5 [0.5,0.666667,0]
recall
0.625 [1,0.333333,0]
recall
0.625 [0.6,1,0]
recall
0.75 [1,0.5,0]
recall
0.5 [0.5,0.666667,0]
recall
0.375 [0.5,0.333333,0]
recall
0.625 [0.75,0.666667,0]
recall
0.625 [0.75,0.666667,0]
recall
0.625 [0.5,1,0]
recall
0.625 [1,0.333333,0]
recall
0.625 [1,0.333333,0]
recall
0.5 [0.75,0.333333,0]
recall
0.5 [0.8,0,0]
recall
0.5 [0.6,0.5,0]
recall
0.25 [0.5,0,0]
recall
0.625 [0.5,1,0]
recall
0.5 [0.5,0.666667,0]
recall
0.75 [1,0.666667,0]
recall
0.5 [0.5,0.666667,0]
recall
0.625 [1,0.333333,0]
recall
0.5 [0.5,0.666667,0]
recall
0.625 [0.75,0.666667,0]
recall
0.75 [0.8,1,0]
recall
0.75 [1,0.5,0]
recall
0.625 [0.75,0.666667,0]
recall
0.75 [0.75,1,0]
recall
0.625 [0.5,1,0]
relative_absolute_error
0.63244
relative_absolute_error
0.643849
relative_absolute_error
0.704067
relative_absolute_error
0.513145
relative_absolute_error
1.08879
relative_absolute_error
0.732959
relative_absolute_error
1.076624
relative_absolute_error
0.635737
relative_absolute_error
0.620711
relative_absolute_error
0.641953
relative_absolute_error
0.661394
relative_absolute_error
0.699142
relative_absolute_error
0.776063
relative_absolute_error
0.537635
relative_absolute_error
0.453602
relative_absolute_error
0.589565
relative_absolute_error
0.511861
relative_absolute_error
0.675134
relative_absolute_error
0.67557
relative_absolute_error
1.005386
relative_absolute_error
0.877018
relative_absolute_error
0.86631
relative_absolute_error
0.76594
relative_absolute_error
0.82845
relative_absolute_error
0.556818
relative_absolute_error
0.763291
relative_absolute_error
0.798532
relative_absolute_error
0.556818
relative_absolute_error
0.897573
relative_absolute_error
0.696818
relative_absolute_error
0.71279
relative_absolute_error
0.669117
relative_absolute_error
0.556818
relative_absolute_error
1.128099
relative_absolute_error
0.556818
relative_absolute_error
0.783491
relative_absolute_error
0.511861
relative_absolute_error
0.562171
relative_absolute_error
0.675134
relative_absolute_error
0.844688
relative_absolute_error
0.485718
relative_absolute_error
0.684698
relative_absolute_error
0.478138
relative_absolute_error
0.844688
relative_absolute_error
0.85202
relative_absolute_error
0.511861
relative_absolute_error
0.721565
relative_absolute_error
0.694924
relative_absolute_error
0.835651
relative_absolute_error
0.814272
relative_absolute_error
0.801471
relative_absolute_error
0.76594
relative_absolute_error
0.876176
relative_absolute_error
0.485718
relative_absolute_error
0.729881
relative_absolute_error
0.634247
relative_absolute_error
0.675134
relative_absolute_error
0.485718
relative_absolute_error
1.161613
relative_absolute_error
0.453602
relative_absolute_error
0.461951
relative_absolute_error
0.642405
relative_absolute_error
0.779114
relative_absolute_error
0.773327
relative_absolute_error
0.874391
relative_absolute_error
0.684698
relative_absolute_error
0.598017
relative_absolute_error
0.712439
relative_absolute_error
0.598322
relative_absolute_error
0.677469
relative_absolute_error
0.950452
relative_absolute_error
0.784668
relative_absolute_error
0.843052
relative_absolute_error
0.831121
relative_absolute_error
0.695893
relative_absolute_error
0.747108
relative_absolute_error
0.714349
relative_absolute_error
0.954688
relative_absolute_error
0.955072
relative_absolute_error
0.794515
relative_absolute_error
0.830292
relative_absolute_error
0.835443
relative_absolute_error
0.748734
relative_absolute_error
0.748734
relative_absolute_error
0.950452
relative_absolute_error
1.009231
relative_absolute_error
0.971925
relative_absolute_error
1.227128
relative_absolute_error
0.690477
relative_absolute_error
0.988893
relative_absolute_error
0.722785
relative_absolute_error
0.779374
relative_absolute_error
0.784668
relative_absolute_error
0.779374
relative_absolute_error
0.757975
relative_absolute_error
0.608682
relative_absolute_error
0.694924
relative_absolute_error
0.830292
relative_absolute_error
0.636911
relative_absolute_error
0.590727
root_mean_prior_squared_error
0.435461
root_mean_prior_squared_error
0.435461
root_mean_prior_squared_error
0.435461
root_mean_prior_squared_error
0.435461
root_mean_prior_squared_error
0.435461
root_mean_prior_squared_error
0.435461
root_mean_prior_squared_error
0.435461
root_mean_prior_squared_error
0.435461
root_mean_prior_squared_error
0.435461
root_mean_prior_squared_error
0.435461
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.423917
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_prior_squared_error
0.447815
root_mean_squared_error
0.366924
root_mean_squared_error
0.374677
root_mean_squared_error
0.408364
root_mean_squared_error
0.288527
root_mean_squared_error
0.525737
root_mean_squared_error
0.382392
root_mean_squared_error
0.556288
root_mean_squared_error
0.347419
root_mean_squared_error
0.315342
root_mean_squared_error
0.361163
root_mean_squared_error
0.331191
root_mean_squared_error
0.38772
root_mean_squared_error
0.376419
root_mean_squared_error
0.241639
root_mean_squared_error
0.220528
root_mean_squared_error
0.378025
root_mean_squared_error
0.281767
root_mean_squared_error
0.331111
root_mean_squared_error
0.380323
root_mean_squared_error
0.510131
root_mean_squared_error
0.452579
root_mean_squared_error
0.425761
root_mean_squared_error
0.455985
root_mean_squared_error
0.412592
root_mean_squared_error
0.284736
root_mean_squared_error
0.406168
root_mean_squared_error
0.467166
root_mean_squared_error
0.284736
root_mean_squared_error
0.492429
root_mean_squared_error
0.411433
root_mean_squared_error
0.37914
root_mean_squared_error
0.331344
root_mean_squared_error
0.284736
root_mean_squared_error
0.552706
root_mean_squared_error
0.284736
root_mean_squared_error
0.450917
root_mean_squared_error
0.281767
root_mean_squared_error
0.305388
root_mean_squared_error
0.331111
root_mean_squared_error
0.438301
root_mean_squared_error
0.288901
root_mean_squared_error
0.351096
root_mean_squared_error
0.288973
root_mean_squared_error
0.438301
root_mean_squared_error
0.435446
root_mean_squared_error
0.281767
root_mean_squared_error
0.354321
root_mean_squared_error
0.36579
root_mean_squared_error
0.413703
root_mean_squared_error
0.403079
root_mean_squared_error
0.404025
root_mean_squared_error
0.455985
root_mean_squared_error
0.427993
root_mean_squared_error
0.288901
root_mean_squared_error
0.38811
root_mean_squared_error
0.356829
root_mean_squared_error
0.331111
root_mean_squared_error
0.288901
root_mean_squared_error
0.586825
root_mean_squared_error
0.220528
root_mean_squared_error
0.289262
root_mean_squared_error
0.364313
root_mean_squared_error
0.457328
root_mean_squared_error
0.443818
root_mean_squared_error
0.475331
root_mean_squared_error
0.351096
root_mean_squared_error
0.33493
root_mean_squared_error
0.373908
root_mean_squared_error
0.354881
root_mean_squared_error
0.375479
root_mean_squared_error
0.487694
root_mean_squared_error
0.43776
root_mean_squared_error
0.418508
root_mean_squared_error
0.451289
root_mean_squared_error
0.414267
root_mean_squared_error
0.436474
root_mean_squared_error
0.382764
root_mean_squared_error
0.48505
root_mean_squared_error
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