476832
233
Nenad TomaĊĦev
1917
Supervised Classification
predictive_accuracy
695
HubMiner.NWKNN(1)
1942
learning.supervised.methods.knn.NWKNN -- mValue weightExponent k cmet
mValue
2.0
695
weightExponent
0.25
695
k
17
695
cmet
floats:distances.primary.MinkowskiMetric:{"p":2.0} "combineBy":SUM
695
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
1681586
description
https://api.openml.org/data/download/1681586/hubminer_generated_run8833357906301640889.xml
-1
1681587
predictions
https://api.openml.org/data/download/1681587/classificationPredictions4896094051505530279.arff
area_under_roc_curve
0.791964 [0.791964,0.791964]
average_cost
0
f_measure
0.732407 [0.799173,0.607843]
kappa
0.407296
kb_relative_information_score
2048.839793
mean_absolute_error
0.33465
mean_prior_absolute_error
0.454491
number_of_instances
7680 [5000,2680]
precision
0.731082 [0.786933,0.626883]
predictive_accuracy
0.734375
prior_entropy
0.933487
recall
0.734375 [0.8118,0.589925]
relative_absolute_error
0.736317
root_mean_prior_squared_error
0.476641
root_mean_squared_error
0.416571
root_relative_squared_error
0.873972
total_cost
0
area_under_roc_curve
0.845185 [0.845185,0.845185]
area_under_roc_curve
0.813333 [0.813333,0.813333]
area_under_roc_curve
0.802222 [0.802222,0.802222]
area_under_roc_curve
0.804444 [0.804444,0.804444]
area_under_roc_curve
0.730741 [0.730741,0.730741]
area_under_roc_curve
0.782963 [0.782963,0.782963]
area_under_roc_curve
0.791111 [0.791111,0.791111]
area_under_roc_curve
0.798519 [0.798519,0.798519]
area_under_roc_curve
0.736667 [0.736667,0.736667]
area_under_roc_curve
0.843704 [0.843704,0.843704]
area_under_roc_curve
0.763704 [0.763704,0.763704]
area_under_roc_curve
0.822963 [0.822963,0.822963]
area_under_roc_curve
0.791852 [0.791852,0.791852]
area_under_roc_curve
0.751852 [0.751852,0.751852]
area_under_roc_curve
0.737037 [0.737037,0.737037]
area_under_roc_curve
0.801852 [0.801852,0.801852]
area_under_roc_curve
0.70963 [0.70963,0.70963]
area_under_roc_curve
0.839259 [0.839259,0.839259]
area_under_roc_curve
0.771852 [0.771852,0.771852]
area_under_roc_curve
0.837778 [0.837778,0.837778]
area_under_roc_curve
0.836296 [0.836296,0.836296]
area_under_roc_curve
0.732593 [0.732593,0.732593]
area_under_roc_curve
0.872963 [0.872963,0.872963]
area_under_roc_curve
0.72963 [0.72963,0.72963]
area_under_roc_curve
0.854074 [0.854074,0.854074]
area_under_roc_curve
0.827407 [0.827407,0.827407]
area_under_roc_curve
0.798519 [0.798519,0.798519]
area_under_roc_curve
0.787407 [0.787407,0.787407]
area_under_roc_curve
0.798519 [0.798519,0.798519]
area_under_roc_curve
0.784815 [0.784815,0.784815]
area_under_roc_curve
0.754815 [0.754815,0.754815]
area_under_roc_curve
0.781481 [0.781481,0.781481]
area_under_roc_curve
0.799259 [0.799259,0.799259]
area_under_roc_curve
0.819259 [0.819259,0.819259]
area_under_roc_curve
0.844444 [0.844444,0.844444]
area_under_roc_curve
0.800741 [0.800741,0.800741]
area_under_roc_curve
0.801852 [0.801852,0.801852]
area_under_roc_curve
0.83963 [0.83963,0.83963]
area_under_roc_curve
0.694074 [0.694074,0.694074]
area_under_roc_curve
0.701481 [0.701481,0.701481]
area_under_roc_curve
0.788889 [0.788889,0.788889]
area_under_roc_curve
0.798519 [0.798519,0.798519]
area_under_roc_curve
0.724444 [0.724444,0.724444]
area_under_roc_curve
0.756667 [0.756667,0.756667]
area_under_roc_curve
0.693704 [0.693704,0.693704]
area_under_roc_curve
0.794815 [0.794815,0.794815]
area_under_roc_curve
0.782222 [0.782222,0.782222]
area_under_roc_curve
0.853333 [0.853333,0.853333]
area_under_roc_curve
0.88963 [0.88963,0.88963]
area_under_roc_curve
0.731481 [0.731481,0.731481]
area_under_roc_curve
0.863704 [0.863704,0.863704]
area_under_roc_curve
0.802593 [0.802593,0.802593]
area_under_roc_curve
0.665926 [0.665926,0.665926]
area_under_roc_curve
0.794074 [0.794074,0.794074]
area_under_roc_curve
0.805185 [0.805185,0.805185]
area_under_roc_curve
0.683704 [0.683704,0.683704]
area_under_roc_curve
0.812593 [0.812593,0.812593]
area_under_roc_curve
0.722963 [0.722963,0.722963]
area_under_roc_curve
0.815556 [0.815556,0.815556]
area_under_roc_curve
0.892593 [0.892593,0.892593]
area_under_roc_curve
0.801481 [0.801481,0.801481]
area_under_roc_curve
0.825926 [0.825926,0.825926]
area_under_roc_curve
0.825185 [0.825185,0.825185]
area_under_roc_curve
0.828889 [0.828889,0.828889]
area_under_roc_curve
0.788889 [0.788889,0.788889]
area_under_roc_curve
0.737778 [0.737778,0.737778]
area_under_roc_curve
0.874815 [0.874815,0.874815]
area_under_roc_curve
0.765185 [0.765185,0.765185]
area_under_roc_curve
0.861481 [0.861481,0.861481]
area_under_roc_curve
0.787037 [0.787037,0.787037]
area_under_roc_curve
0.78963 [0.78963,0.78963]
area_under_roc_curve
0.72963 [0.72963,0.72963]
area_under_roc_curve
0.835556 [0.835556,0.835556]
area_under_roc_curve
0.889259 [0.889259,0.889259]
area_under_roc_curve
0.743333 [0.743333,0.743333]
area_under_roc_curve
0.892593 [0.892593,0.892593]
area_under_roc_curve
0.795185 [0.795185,0.795185]
area_under_roc_curve
0.815556 [0.815556,0.815556]
area_under_roc_curve
0.827407 [0.827407,0.827407]
area_under_roc_curve
0.845185 [0.845185,0.845185]
area_under_roc_curve
0.788462 [0.788462,0.788462]
area_under_roc_curve
0.837692 [0.837692,0.837692]
area_under_roc_curve
0.743077 [0.743077,0.743077]
area_under_roc_curve
0.829231 [0.829231,0.829231]
area_under_roc_curve
0.893077 [0.893077,0.893077]
area_under_roc_curve
0.732308 [0.732308,0.732308]
area_under_roc_curve
0.803077 [0.803077,0.803077]
area_under_roc_curve
0.787692 [0.787692,0.787692]
area_under_roc_curve
0.736923 [0.736923,0.736923]
area_under_roc_curve
0.776923 [0.776923,0.776923]
area_under_roc_curve
0.749615 [0.749615,0.749615]
area_under_roc_curve
0.777692 [0.777692,0.777692]
area_under_roc_curve
0.820769 [0.820769,0.820769]
area_under_roc_curve
0.824615 [0.824615,0.824615]
area_under_roc_curve
0.826538 [0.826538,0.826538]
area_under_roc_curve
0.817308 [0.817308,0.817308]
area_under_roc_curve
0.83 [0.83,0.83]
area_under_roc_curve
0.749615 [0.749615,0.749615]
area_under_roc_curve
0.808462 [0.808462,0.808462]
area_under_roc_curve
0.764615 [0.764615,0.764615]
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
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0
average_cost
0
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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
0.737811 [0.803922,0.615385]
f_measure
0.711592 [0.784314,0.576923]
f_measure
0.714286 [0.78,0.592593]
f_measure
0.728375 [0.787879,0.618182]
f_measure
0.659155 [0.745098,0.5]
f_measure
0.737811 [0.803922,0.615385]
f_measure
0.780113 [0.828283,0.690909]
f_measure
0.706095 [0.757895,0.610169]
f_measure
0.693949 [0.744681,0.6]
f_measure
0.727294 [0.814815,0.565217]
f_measure
0.662338 [0.74,0.518519]
f_measure
0.787892 [0.846154,0.68]
f_measure
0.718186 [0.770833,0.62069]
f_measure
0.634708 [0.747664,0.425532]
f_measure
0.719852 [0.8,0.571429]
f_measure
0.72605 [0.792079,0.603774]
f_measure
0.61039 [0.7,0.444444]
f_measure
0.792208 [0.84,0.703704]
f_measure
0.727294 [0.814815,0.565217]
f_measure
0.778231 [0.831683,0.679245]
f_measure
0.766234 [0.82,0.666667]
f_measure
0.731377 [0.811321,0.583333]
f_measure
0.795044 [0.833333,0.724138]
f_measure
0.696863 [0.776699,0.54902]
f_measure
0.768023 [0.816327,0.678571]
f_measure
0.754244 [0.808081,0.654545]
f_measure
0.782766 [0.821053,0.711864]
f_measure
0.716472 [0.77551,0.607143]
f_measure
0.681838 [0.769231,0.52]
f_measure
0.728375 [0.787879,0.618182]
f_measure
0.677653 [0.773585,0.5]
f_measure
0.731377 [0.811321,0.583333]
f_measure
0.746532 [0.819048,0.612245]
f_measure
0.754244 [0.808081,0.654545]
f_measure
0.775943 [0.834951,0.666667]
f_measure
0.734865 [0.807692,0.6]
f_measure
0.715884 [0.803738,0.553191]
f_measure
0.758118 [0.795699,0.688525]
f_measure
0.662338 [0.74,0.518519]
f_measure
0.677653 [0.773585,0.5]
f_measure
0.678848 [0.742268,0.561404]
f_measure
0.75214 [0.811881,0.641509]
f_measure
0.693171 [0.780952,0.530612]
f_measure
0.755924 [0.804124,0.666667]
f_measure
0.678848 [0.742268,0.561404]
f_measure
0.711592 [0.784314,0.576923]
f_measure
0.659155 [0.745098,0.5]
f_measure
0.775943 [0.834951,0.666667]
f_measure
0.833001 [0.865979,0.77193]
f_measure
0.723223 [0.796117,0.588235]
f_measure
0.796898 [0.822222,0.75]
f_measure
0.758239 [0.830189,0.625]
f_measure
0.647779 [0.732673,0.490566]
f_measure
0.704515 [0.792453,0.541667]
f_measure
0.728375 [0.787879,0.618182]
f_measure
0.617784 [0.718447,0.431373]
f_measure
0.77804 [0.854545,0.636364]
f_measure
0.685373 [0.764706,0.538462]
f_measure
0.790249 [0.843137,0.692308]
f_measure
0.807309 [0.845361,0.736842]
f_measure
0.677653 [0.773585,0.5]
f_measure
0.754564 [0.833333,0.608696]
f_measure
0.76403 [0.823529,0.653846]
f_measure
0.737811 [0.803922,0.615385]
f_measure
0.74026 [0.8,0.62963]
f_measure
0.685373 [0.764706,0.538462]
f_measure
0.838826 [0.886792,0.75]
f_measure
0.696863 [0.776699,0.54902]
f_measure
0.754244 [0.808081,0.654545]
f_measure
0.737811 [0.803922,0.615385]
f_measure
0.758239 [0.830189,0.625]
f_measure
0.666947 [0.729167,0.551724]
f_measure
0.761379 [0.826923,0.64]
f_measure
0.793757 [0.862385,0.666667]
f_measure
0.696863 [0.776699,0.54902]
f_measure
0.818182 [0.86,0.740741]
f_measure
0.766234 [0.82,0.666667]
f_measure
0.72255 [0.818182,0.545455]
f_measure
0.688826 [0.785047,0.510638]
f_measure
0.780113 [0.828283,0.690909]
f_measure
0.734159 [0.803922,0.6]
f_measure
0.76865 [0.804348,0.7]
f_measure
0.680991 [0.764706,0.52]
f_measure
0.77523 [0.831683,0.666667]
f_measure
0.792607 [0.833333,0.714286]
f_measure
0.676824 [0.736842,0.561404]
f_measure
0.748787 [0.811881,0.627451]
f_measure
0.781702 [0.849057,0.652174]
f_measure
0.657895 [0.74,0.5]
f_measure
0.724895 [0.787879,0.603774]
f_measure
0.68891 [0.75,0.571429]
f_measure
0.736842 [0.8,0.615385]
f_measure
0.715566 [0.8,0.553191]
f_measure
0.751096 [0.808081,0.641509]
f_measure
0.77398 [0.854545,0.619048]
f_measure
0.742655 [0.819048,0.595745]
f_measure
0.763158 [0.82,0.653846]
f_measure
0.69984 [0.792453,0.521739]
f_measure
0.757844 [0.826923,0.625]
f_measure
0.745988 [0.815534,0.612245]
kappa
0.419744
kappa
0.361718
kappa
0.372593
kappa
0.40617
kappa
0.245667
kappa
0.419744
kappa
0.51928
kappa
0.37087
kappa
0.348837
kappa
0.387917
kappa
0.258519
kappa
0.527607
kappa
0.393266
kappa
0.181174
kappa
0.374468
kappa
0.395966
kappa
0.144444
kappa
0.543704
kappa
0.387917
kappa
0.51102
kappa
0.486667
kappa
0.398907
kappa
0.558739
kappa
0.326872
kappa
0.495266
kappa
0.462725
kappa
0.534991
kappa
0.383103
kappa
0.291411
kappa
0.40617
kappa
0.278689
kappa
0.398907
kappa
0.434043
kappa
0.462725
kappa
0.502471
kappa
0.409509
kappa
0.363135
kappa
0.48864
kappa
0.258519
kappa
0.278689
kappa
0.304803
kappa
0.453493
kappa
0.314894
kappa
0.47165
kappa
0.304803
kappa
0.361718
kappa
0.245667
kappa
0.502471
kappa
0.638498
kappa
0.385405
kappa
0.579522
kappa
0.459016
kappa
0.223384
kappa
0.338798
kappa
0.40617
kappa
0.151273
kappa
0.501215
kappa
0.303693
kappa
0.535795
kappa
0.582882
kappa
0.278689
kappa
0.449126
kappa
0.477769
kappa
0.419744
kappa
0.42963
kappa
0.303693
kappa
0.639344
kappa
0.326872
kappa
0.462725
kappa
0.419744
kappa
0.459016
kappa
0.282951
kappa
0.468558
kappa
0.536703
kappa
0.326872
kappa
0.600741
kappa
0.486667
kappa
0.376518
kappa
0.302481
kappa
0.51928
kappa
0.404389
kappa
0.510029
kappa
0.285266
kappa
0.498447
kappa
0.548961
kappa
0.301471
kappa
0.439441
kappa
0.504886
kappa
0.24
kappa
0.391768
kappa
0.323442
kappa
0.415385
kappa
0.356452
kappa
0.449695
kappa
0.484746
kappa
0.417742
kappa
0.473846
kappa
0.319218
kappa
0.453674
kappa
0.428797
kb_relative_information_score
26.908762
kb_relative_information_score
22.226079
kb_relative_information_score
20.730057
kb_relative_information_score
20.304428
kb_relative_information_score
15.012959
kb_relative_information_score
19.731583
kb_relative_information_score
18.729224
kb_relative_information_score
19.334761
kb_relative_information_score
12.611897
kb_relative_information_score
25.569931
kb_relative_information_score
18.379707
kb_relative_information_score
26.125758
kb_relative_information_score
17.548748
kb_relative_information_score
16.397677
kb_relative_information_score
19.077266
kb_relative_information_score
23.564819
kb_relative_information_score
11.104367
kb_relative_information_score
22.4088
kb_relative_information_score
22.166095
kb_relative_information_score
27.392668
kb_relative_information_score
23.29276
kb_relative_information_score
15.43422
kb_relative_information_score
27.886317
kb_relative_information_score
17.055948
kb_relative_information_score
25.213676
kb_relative_information_score
21.956731
kb_relative_information_score
15.468473
kb_relative_information_score
17.673654
kb_relative_information_score
19.23794
kb_relative_information_score
19.672212
kb_relative_information_score
16.96158
kb_relative_information_score
20.28484
kb_relative_information_score
21.002917
kb_relative_information_score
22.469837
kb_relative_information_score
26.562796
kb_relative_information_score
26.615151
kb_relative_information_score
23.93142
kb_relative_information_score
23.475436
kb_relative_information_score
11.781395
kb_relative_information_score
11.137607
kb_relative_information_score
16.685473
kb_relative_information_score
20.293032
kb_relative_information_score
18.300595
kb_relative_information_score
13.532484
kb_relative_information_score
10.311252
kb_relative_information_score
18.483558
kb_relative_information_score
20.006707
kb_relative_information_score
26.622885
kb_relative_information_score
31.723723
kb_relative_information_score
15.154695
kb_relative_information_score
21.946854
kb_relative_information_score
22.11608
kb_relative_information_score
10.196927
kb_relative_information_score
20.378147
kb_relative_information_score
21.289712
kb_relative_information_score
10.707197
kb_relative_information_score
25.514844
kb_relative_information_score
14.743275
kb_relative_information_score
25.349524
kb_relative_information_score
27.57774
kb_relative_information_score
23.150836
kb_relative_information_score
24.744994
kb_relative_information_score
22.186532
kb_relative_information_score
21.476016
kb_relative_information_score
19.858364
kb_relative_information_score
13.193729
kb_relative_information_score
30.132921
kb_relative_information_score
19.1175
kb_relative_information_score
25.02742
kb_relative_information_score
18.881776
kb_relative_information_score
20.988779
kb_relative_information_score
12.894693
kb_relative_information_score
21.423623
kb_relative_information_score
29.674918
kb_relative_information_score
15.297465
kb_relative_information_score
32.195962
kb_relative_information_score
22.206001
kb_relative_information_score
22.536148
kb_relative_information_score
23.970026
kb_relative_information_score
24.83476
kb_relative_information_score
20.900812
kb_relative_information_score
20.326857
kb_relative_information_score
16.593868
kb_relative_information_score
23.270168
kb_relative_information_score
26.410655
kb_relative_information_score
14.140774
kb_relative_information_score
20.510793
kb_relative_information_score
22.111982
kb_relative_information_score
12.900492
kb_relative_information_score
17.428908
kb_relative_information_score
17.70159
kb_relative_information_score
18.697947
kb_relative_information_score
22.660894
kb_relative_information_score
22.125429
kb_relative_information_score
24.381004
kb_relative_information_score
22.792528
kb_relative_information_score
20.697917
kb_relative_information_score
17.589993
kb_relative_information_score
21.243992
kb_relative_information_score
19.18553
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0.300802
mean_absolute_error
0.322699
mean_absolute_error
0.335552
mean_absolute_error
0.334467
mean_absolute_error
0.362486
mean_absolute_error
0.341572
mean_absolute_error
0.34342
mean_absolute_error
0.34006
mean_absolute_error
0.374157
mean_absolute_error
0.305776
mean_absolute_error
0.344203
mean_absolute_error
0.310109
mean_absolute_error
0.347327
mean_absolute_error
0.350061
mean_absolute_error
0.343774
mean_absolute_error
0.318207
mean_absolute_error
0.378051
mean_absolute_error
0.324075
mean_absolute_error
0.325803
mean_absolute_error
0.300079
mean_absolute_error
0.321657
mean_absolute_error
0.361491
mean_absolute_error
0.300519
mean_absolute_error
0.350845
mean_absolute_error
0.311723
mean_absolute_error
0.330294
mean_absolute_error
0.36923
mean_absolute_error
0.349657
mean_absolute_error
0.341554
mean_absolute_error
0.34186
mean_absolute_error
0.355346
mean_absolute_error
0.342945
mean_absolute_error
0.332453
mean_absolute_error
0.327601
mean_absolute_error
0.305021
mean_absolute_error
0.301225
mean_absolute_error
0.318111
mean_absolute_error
0.319017
mean_absolute_error
0.381742
mean_absolute_error
0.385964
mean_absolute_error
0.356067
mean_absolute_error
0.338968
mean_absolute_error
0.345428
mean_absolute_error
0.374494
mean_absolute_error
0.389681
mean_absolute_error
0.344175
mean_absolute_error
0.336426
mean_absolute_error
0.305988
mean_absolute_error
0.274858
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0.364437
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0.331658
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0.326935
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0.387374
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0.328384
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0.337375
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0.37249
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0.291843
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0.337637
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0.344663
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0.33794
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0.372699
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0.335337
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0.292287
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0.366594
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0.277713
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0.329244
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0.326733
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0.315105
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0.311559
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0.323923
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0.342322
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0.345294
mean_absolute_error
0.337327
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0.315014
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0.325115
mean_absolute_error
0.310028
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number_of_instances
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0.736404 [0.788462,0.64]
precision
0.70989 [0.769231,0.6]
precision
0.714286 [0.78,0.592593]
precision
0.729724 [0.795918,0.607143]
precision
0.656863 [0.730769,0.52]
precision
0.736404 [0.788462,0.64]
precision
0.781275 [0.836735,0.678571]
precision
0.716721 [0.8,0.5625]
precision
0.707792 [0.795455,0.545455]
precision
0.732529 [0.758621,0.684211]
precision
0.662338 [0.74,0.518519]
precision
0.788276 [0.814815,0.73913]
precision
0.725907 [0.804348,0.580645]
precision
0.631009 [0.701754,0.5]
precision
0.719008 [0.763636,0.636364]
precision
0.725079 [0.784314,0.615385]
precision
0.61039 [0.7,0.444444]
precision
0.792208 [0.84,0.703704]
precision
0.732529 [0.758621,0.684211]
precision
0.777517 [0.823529,0.692308]
precision
0.766234 [0.82,0.666667]
precision
0.732375 [0.767857,0.666667]
precision
0.802189 [0.869565,0.677419]
precision
0.694621 [0.754717,0.583333]
precision
0.770861 [0.833333,0.655172]
precision
0.7555 [0.816327,0.642857]
precision
0.792884 [0.866667,0.65625]
precision
0.719622 [0.791667,0.586207]
precision
0.679194 [0.740741,0.565217]
precision
0.729724 [0.795918,0.607143]
precision
0.675788 [0.732143,0.571429]
precision
0.732375 [0.767857,0.666667]
precision
0.746753 [0.781818,0.681818]
precision
0.7555 [0.816327,0.642857]
precision
0.775208 [0.811321,0.708333]
precision
0.733735 [0.777778,0.652174]
precision
0.717783 [0.754386,0.65]
precision
0.775321 [0.860465,0.617647]
precision
0.662338 [0.74,0.518519]
precision
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precision
0.684388 [0.765957,0.533333]
precision
0.751298 [0.803922,0.653846]
precision
0.691263 [0.745455,0.590909]
precision
0.760901 [0.829787,0.633333]
precision
0.684388 [0.765957,0.533333]
precision
0.70989 [0.769231,0.6]
precision
0.656863 [0.730769,0.52]
precision
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precision
0.837414 [0.893617,0.733333]
precision
0.721484 [0.773585,0.625]
precision
0.828098 [0.925,0.648649]
precision
0.760668 [0.785714,0.714286]
precision
0.646422 [0.72549,0.5]
precision
0.704082 [0.75,0.619048]
precision
0.729724 [0.795918,0.607143]
precision
0.614035 [0.698113,0.458333]
precision
0.797428 [0.783333,0.823529]
precision
0.683377 [0.75,0.56]
precision
0.789431 [0.826923,0.72]
precision
0.811909 [0.87234,0.7]
precision
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precision
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precision
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precision
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precision
0.74026 [0.8,0.62963]
precision
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precision
0.845547 [0.839286,0.857143]
precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
0.766234 [0.82,0.666667]
precision
0.73453 [0.75,0.705882]
precision
0.688859 [0.736842,0.6]
precision
0.781275 [0.836735,0.678571]
precision
0.73254 [0.788462,0.625]
precision
0.790874 [0.880952,0.617647]
precision
0.678728 [0.75,0.541667]
precision
0.774427 [0.823529,0.68]
precision
0.800153 [0.869565,0.666667]
precision
0.688266 [0.777778,0.516129]
precision
0.747843 [0.803922,0.64]
precision
0.785244 [0.803571,0.75]
precision
0.657895 [0.74,0.5]
precision
0.72636 [0.795918,0.592593]
precision
0.69733 [0.782609,0.533333]
precision
0.736842 [0.8,0.615385]
precision
0.714172 [0.763636,0.619048]
precision
0.752457 [0.816327,0.62963]
precision
0.793311 [0.783333,0.8125]
precision
0.742424 [0.781818,0.666667]
precision
0.763158 [0.82,0.653846]
precision
0.698684 [0.75,0.6]
precision
0.757133 [0.796296,0.681818]
precision
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.662338
predictive_accuracy
0.779221
predictive_accuracy
0.831169
predictive_accuracy
0.727273
predictive_accuracy
0.792208
predictive_accuracy
0.766234
predictive_accuracy
0.649351
predictive_accuracy
0.714286
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.792208
predictive_accuracy
0.805195
predictive_accuracy
0.688312
predictive_accuracy
0.766234
predictive_accuracy
0.766234
predictive_accuracy
0.74026
predictive_accuracy
0.74026
predictive_accuracy
0.688312
predictive_accuracy
0.844156
predictive_accuracy
0.701299
predictive_accuracy
0.753247
predictive_accuracy
0.74026
predictive_accuracy
0.766234
predictive_accuracy
0.662338
predictive_accuracy
0.766234
predictive_accuracy
0.805195
predictive_accuracy
0.701299
predictive_accuracy
0.818182
predictive_accuracy
0.766234
predictive_accuracy
0.74026
predictive_accuracy
0.701299
predictive_accuracy
0.779221
predictive_accuracy
0.736842
predictive_accuracy
0.763158
predictive_accuracy
0.684211
predictive_accuracy
0.776316
predictive_accuracy
0.789474
predictive_accuracy
0.671053
predictive_accuracy
0.75
predictive_accuracy
0.789474
predictive_accuracy
0.657895
predictive_accuracy
0.723684
predictive_accuracy
0.684211
predictive_accuracy
0.736842
predictive_accuracy
0.723684
predictive_accuracy
0.75
predictive_accuracy
0.789474
predictive_accuracy
0.75
predictive_accuracy
0.763158
predictive_accuracy
0.710526
predictive_accuracy
0.763158
predictive_accuracy
0.75
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
prior_entropy
0.933487
recall
0.74026 [0.82,0.592593]
recall
0.714286 [0.8,0.555556]
recall
0.714286 [0.78,0.592593]
recall
0.727273 [0.78,0.62963]
recall
0.662338 [0.76,0.481481]
recall
0.74026 [0.82,0.592593]
recall
0.779221 [0.82,0.703704]
recall
0.701299 [0.72,0.666667]
recall
0.688312 [0.7,0.666667]
recall
0.74026 [0.88,0.481481]
recall
0.662338 [0.74,0.518519]
recall
0.792208 [0.88,0.62963]
recall
0.714286 [0.74,0.666667]
recall
0.649351 [0.8,0.37037]
recall
0.727273 [0.84,0.518519]
recall
0.727273 [0.8,0.592593]
recall
0.61039 [0.7,0.444444]
recall
0.792208 [0.84,0.703704]
recall
0.74026 [0.88,0.481481]
recall
0.779221 [0.84,0.666667]
recall
0.766234 [0.82,0.666667]
recall
0.74026 [0.86,0.518519]
recall
0.792208 [0.8,0.777778]
recall
0.701299 [0.8,0.518519]
recall
0.766234 [0.8,0.703704]
recall
0.753247 [0.8,0.666667]
recall
0.779221 [0.78,0.777778]
recall
0.714286 [0.76,0.62963]
recall
0.688312 [0.8,0.481481]
recall
0.727273 [0.78,0.62963]
recall
0.688312 [0.82,0.444444]
recall
0.74026 [0.86,0.518519]
recall
0.753247 [0.86,0.555556]
recall
0.753247 [0.8,0.666667]
recall
0.779221 [0.86,0.62963]
recall
0.74026 [0.84,0.555556]
recall
0.727273 [0.86,0.481481]
recall
0.753247 [0.74,0.777778]
recall
0.662338 [0.74,0.518519]
recall
0.688312 [0.82,0.444444]
recall
0.675325 [0.72,0.592593]
recall
0.753247 [0.82,0.62963]
recall
0.701299 [0.82,0.481481]
recall
0.753247 [0.78,0.703704]
recall
0.675325 [0.72,0.592593]
recall
0.714286 [0.8,0.555556]
recall
0.662338 [0.76,0.481481]
recall
0.779221 [0.86,0.62963]
recall
0.831169 [0.84,0.814815]
recall
0.727273 [0.82,0.555556]
recall
0.792208 [0.74,0.888889]
recall
0.766234 [0.88,0.555556]
recall
0.649351 [0.74,0.481481]
recall
0.714286 [0.84,0.481481]
recall
0.727273 [0.78,0.62963]
recall
0.623377 [0.74,0.407407]
recall
0.792208 [0.94,0.518519]
recall
0.688312 [0.78,0.518519]
recall
0.792208 [0.86,0.666667]
recall
0.805195 [0.82,0.777778]
recall
0.688312 [0.82,0.444444]
recall
0.766234 [0.9,0.518519]
recall
0.766234 [0.84,0.62963]
recall
0.74026 [0.82,0.592593]
recall
0.74026 [0.8,0.62963]
recall
0.688312 [0.78,0.518519]
recall
0.844156 [0.94,0.666667]
recall
0.701299 [0.8,0.518519]
recall
0.753247 [0.8,0.666667]
recall
0.74026 [0.82,0.592593]
recall
0.766234 [0.88,0.555556]
recall
0.662338 [0.7,0.592593]
recall
0.766234 [0.86,0.592593]
recall
0.805195 [0.94,0.555556]
recall
0.701299 [0.8,0.518519]
recall
0.818182 [0.86,0.740741]
recall
0.766234 [0.82,0.666667]
recall
0.74026 [0.9,0.444444]
recall
0.701299 [0.84,0.444444]
recall
0.779221 [0.82,0.703704]
recall
0.736842 [0.82,0.576923]
recall
0.763158 [0.74,0.807692]
recall
0.684211 [0.78,0.5]
recall
0.776316 [0.84,0.653846]
recall
0.789474 [0.8,0.769231]
recall
0.671053 [0.7,0.615385]
recall
0.75 [0.82,0.615385]
recall
0.789474 [0.9,0.576923]
recall
0.657895 [0.74,0.5]
recall
0.723684 [0.78,0.615385]
recall
0.684211 [0.72,0.615385]
recall
0.736842 [0.8,0.615385]
recall
0.723684 [0.84,0.5]
recall
0.75 [0.8,0.653846]
recall
0.789474 [0.94,0.5]
recall
0.75 [0.86,0.538462]
recall
0.763158 [0.82,0.653846]
recall
0.710526 [0.84,0.461538]
recall
0.763158 [0.86,0.576923]
recall
0.75 [0.84,0.576923]
relative_absolute_error
0.661102
relative_absolute_error
0.709228
relative_absolute_error
0.737476
relative_absolute_error
0.735092
relative_absolute_error
0.796672
relative_absolute_error
0.750706
relative_absolute_error
0.754769
relative_absolute_error
0.747384
relative_absolute_error
0.822322
relative_absolute_error
0.672035
relative_absolute_error
0.756489
relative_absolute_error
0.681556
relative_absolute_error
0.763355
relative_absolute_error
0.769364
relative_absolute_error
0.755546
relative_absolute_error
0.699354
relative_absolute_error
0.830879
relative_absolute_error
0.712252
relative_absolute_error
0.716049
relative_absolute_error
0.659513
relative_absolute_error
0.706936
relative_absolute_error
0.794484
relative_absolute_error
0.66048
relative_absolute_error
0.771087
relative_absolute_error
0.685104
relative_absolute_error
0.72592
relative_absolute_error
0.811494
relative_absolute_error
0.768477
relative_absolute_error
0.750666
relative_absolute_error
0.751339
relative_absolute_error
0.780978
relative_absolute_error
0.753725
relative_absolute_error
0.730665
relative_absolute_error
0.72
relative_absolute_error
0.670374
relative_absolute_error
0.662032
relative_absolute_error
0.699144
relative_absolute_error
0.701135
relative_absolute_error
0.838991
relative_absolute_error
0.848271
relative_absolute_error
0.782563
relative_absolute_error
0.744984
relative_absolute_error
0.75918
relative_absolute_error
0.823062
relative_absolute_error
0.856439
relative_absolute_error
0.756428
relative_absolute_error
0.739398
relative_absolute_error
0.672499
relative_absolute_error
0.604083
relative_absolute_error
0.800959
relative_absolute_error
0.728918
relative_absolute_error
0.718537
relative_absolute_error
0.85137
relative_absolute_error
0.732343
relative_absolute_error
0.725373
relative_absolute_error
0.836697
relative_absolute_error
0.681127
relative_absolute_error
0.794875
relative_absolute_error
0.679094
relative_absolute_error
0.661268
relative_absolute_error
0.700284
relative_absolute_error
0.687313
relative_absolute_error
0.724467
relative_absolute_error
0.721722
relative_absolute_error
0.741482
relative_absolute_error
0.818657
relative_absolute_error
0.641413
relative_absolute_error
0.742057
relative_absolute_error
0.69188
relative_absolute_error
0.7575
relative_absolute_error
0.742724
relative_absolute_error
0.819118
relative_absolute_error
0.737002
relative_absolute_error
0.642389
relative_absolute_error
0.805701
relative_absolute_error
0.610358
relative_absolute_error
0.723611
relative_absolute_error
0.718094
relative_absolute_error
0.692536
relative_absolute_error
0.684744
relative_absolute_error
0.715968
relative_absolute_error
0.735431
relative_absolute_error
0.773711
relative_absolute_error
0.704495
relative_absolute_error
0.670495
relative_absolute_error
0.80367
relative_absolute_error
0.727552
relative_absolute_error
0.726395
relative_absolute_error
0.816706
relative_absolute_error
0.756635
relative_absolute_error
0.763205
relative_absolute_error
0.745595
relative_absolute_error
0.696276
relative_absolute_error
0.718603
relative_absolute_error
0.685257
relative_absolute_error
0.709134
relative_absolute_error
0.728742
relative_absolute_error
0.760162
relative_absolute_error
0.727718
relative_absolute_error
0.751095
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.477175
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_prior_squared_error
0.47447
root_mean_squared_error
0.391654
root_mean_squared_error
0.412595
root_mean_squared_error
0.417513
root_mean_squared_error
0.417722
root_mean_squared_error
0.451456
root_mean_squared_error
0.418866
root_mean_squared_error
0.426094
root_mean_squared_error
0.422888
root_mean_squared_error
0.451144
root_mean_squared_error
0.38844
root_mean_squared_error
0.434572
root_mean_squared_error
0.389747
root_mean_squared_error
0.428636
root_mean_squared_error
0.446737
root_mean_squared_error
0.4387
root_mean_squared_error
0.407699
root_mean_squared_error
0.465951
root_mean_squared_error
0.394822
root_mean_squared_error
0.423583
root_mean_squared_error
0.398035
root_mean_squared_error
0.399969
root_mean_squared_error
0.44454
root_mean_squared_error
0.374573
root_mean_squared_error
0.450403
root_mean_squared_error
0.38387
root_mean_squared_error
0.396165
root_mean_squared_error
0.425314
root_mean_squared_error
0.41982
root_mean_squared_error
0.42108
root_mean_squared_error
0.422574
root_mean_squared_error
0.44061
root_mean_squared_error
0.415776
root_mean_squared_error
0.4042
root_mean_squared_error
0.407116
root_mean_squared_error
0.390615
root_mean_squared_error
0.40607
root_mean_squared_error
0.404018
root_mean_squared_error
0.398713
root_mean_squared_error
0.465539
root_mean_squared_error
0.46334
root_mean_squared_error
0.416036
root_mean_squared_error
0.421231
root_mean_squared_error
0.448086
root_mean_squared_error
0.446087
root_mean_squared_error
0.47095
root_mean_squared_error
0.423197
root_mean_squared_error
0.418862
root_mean_squared_error
0.384063
root_mean_squared_error
0.362081
root_mean_squared_error
0.446576
root_mean_squared_error
0.392205
root_mean_squared_error
0.409707
root_mean_squared_error
0.466296
root_mean_squared_error
0.415355
root_mean_squared_error
0.411191
root_mean_squared_error
0.465145
root_mean_squared_error
0.400942
root_mean_squared_error
0.45018
root_mean_squared_error
0.393805
root_mean_squared_error
0.364914
root_mean_squared_error
0.417629
root_mean_squared_error
0.398439
root_mean_squared_error
0.402523
root_mean_squared_error
0.406334
root_mean_squared_error
0.42044
root_mean_squared_error
0.444
root_mean_squared_error
0.367582
root_mean_squared_error
0.439172
root_mean_squared_error
0.385025
root_mean_squared_error
0.41297
root_mean_squared_error
0.411306
root_mean_squared_error
0.451335
root_mean_squared_error
0.398852
root_mean_squared_error
0.367096
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