476884
233
Nenad TomaĊĦev
1917
Supervised Classification
predictive_accuracy
697
HubMiner.ANHBNN(1)
1994
learning.supervised.methods.knn.ANHBNN -- k cmet thetaValue
k
12
697
cmet
floats:distances.primary.MinkowskiMetric:{"p":2.0} "combineBy":SUM
697
thetaValue
0
697
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
1681690
description
https://api.openml.org/data/download/1681690/hubminer_generated_run8139319670353087639.xml
-1
1681691
predictions
https://api.openml.org/data/download/1681691/classificationPredictions7474279825475368989.arff
area_under_roc_curve
0.729696 [0.72809,0.732691]
average_cost
0
f_measure
0.68202 [0.768949,0.51984]
kappa
0.290665
kb_relative_information_score
2089.716408
mean_absolute_error
0.319115
mean_prior_absolute_error
0.454491
number_of_instances
7680 [5000,2680]
precision
0.679301 [0.742458,0.561472]
predictive_accuracy
0.688021
prior_entropy
0.933487
recall
0.688021 [0.7974,0.483955]
relative_absolute_error
0.702137
root_mean_prior_squared_error
0.476641
root_mean_squared_error
0.496623
root_relative_squared_error
1.041923
total_cost
0
area_under_roc_curve
0.704271 [0.697778,0.716296]
area_under_roc_curve
0.717816 [0.717037,0.719259]
area_under_roc_curve
0.697504 [0.695556,0.701111]
area_under_roc_curve
0.714459 [0.716667,0.71037]
area_under_roc_curve
0.641987 [0.639259,0.647037]
area_under_roc_curve
0.751279 [0.75037,0.752963]
area_under_roc_curve
0.768966 [0.767407,0.771852]
area_under_roc_curve
0.776186 [0.775926,0.776667]
area_under_roc_curve
0.734334 [0.734074,0.734815]
area_under_roc_curve
0.754671 [0.752593,0.758519]
area_under_roc_curve
0.771323 [0.767037,0.779259]
area_under_roc_curve
0.745897 [0.741481,0.754074]
area_under_roc_curve
0.793555 [0.794074,0.792593]
area_under_roc_curve
0.714218 [0.716296,0.71037]
area_under_roc_curve
0.640375 [0.637778,0.645185]
area_under_roc_curve
0.706118 [0.702222,0.713333]
area_under_roc_curve
0.610813 [0.601852,0.627407]
area_under_roc_curve
0.778114 [0.776296,0.781481]
area_under_roc_curve
0.694228 [0.691111,0.7]
area_under_roc_curve
0.802078 [0.8,0.805926]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.641299 [0.64,0.643704]
area_under_roc_curve
0.788235 [0.791481,0.782222]
area_under_roc_curve
0.733978 [0.725926,0.748889]
area_under_roc_curve
0.805647 [0.806296,0.804444]
area_under_roc_curve
0.785296 [0.785556,0.784815]
area_under_roc_curve
0.724127 [0.725556,0.721481]
area_under_roc_curve
0.746926 [0.746667,0.747407]
area_under_roc_curve
0.686797 [0.686667,0.687037]
area_under_roc_curve
0.751573 [0.752222,0.75037]
area_under_roc_curve
0.693175 [0.688889,0.701111]
area_under_roc_curve
0.702309 [0.705556,0.696296]
area_under_roc_curve
0.755979 [0.757407,0.753333]
area_under_roc_curve
0.765147 [0.765926,0.763704]
area_under_roc_curve
0.802573 [0.802963,0.801852]
area_under_roc_curve
0.759067 [0.762963,0.751852]
area_under_roc_curve
0.761092 [0.761481,0.76037]
area_under_roc_curve
0.76494 [0.767407,0.76037]
area_under_roc_curve
0.69594 [0.688148,0.71037]
area_under_roc_curve
0.638567 [0.632593,0.64963]
area_under_roc_curve
0.72457 [0.727037,0.72]
area_under_roc_curve
0.765705 [0.765185,0.766667]
area_under_roc_curve
0.649841 [0.645556,0.657778]
area_under_roc_curve
0.659668 [0.658889,0.661111]
area_under_roc_curve
0.628682 [0.63037,0.625556]
area_under_roc_curve
0.723834 [0.723704,0.724074]
area_under_roc_curve
0.706888 [0.707407,0.705926]
area_under_roc_curve
0.738167 [0.737778,0.738889]
area_under_roc_curve
0.8395 [0.83963,0.839259]
area_under_roc_curve
0.730669 [0.72963,0.732593]
area_under_roc_curve
0.777008 [0.772593,0.785185]
area_under_roc_curve
0.750053 [0.741481,0.765926]
area_under_roc_curve
0.585132 [0.583704,0.587778]
area_under_roc_curve
0.738519 [0.738519,0.738519]
area_under_roc_curve
0.762881 [0.757037,0.773704]
area_under_roc_curve
0.583059 [0.571111,0.605185]
area_under_roc_curve
0.760837 [0.748889,0.782963]
area_under_roc_curve
0.69722 [0.688519,0.713333]
area_under_roc_curve
0.761414 [0.757778,0.768148]
area_under_roc_curve
0.810433 [0.806667,0.817407]
area_under_roc_curve
0.745233 [0.739259,0.756296]
area_under_roc_curve
0.756546 [0.751481,0.765926]
area_under_roc_curve
0.687263 [0.685185,0.691111]
area_under_roc_curve
0.767278 [0.767407,0.767037]
area_under_roc_curve
0.72406 [0.721852,0.728148]
area_under_roc_curve
0.731005 [0.728148,0.736296]
area_under_roc_curve
0.829091 [0.83,0.827407]
area_under_roc_curve
0.687744 [0.685926,0.691111]
area_under_roc_curve
0.811169 [0.81,0.813333]
area_under_roc_curve
0.754497 [0.755926,0.751852]
area_under_roc_curve
0.712516 [0.714074,0.70963]
area_under_roc_curve
0.696671 [0.694074,0.701481]
area_under_roc_curve
0.692169 [0.690741,0.694815]
area_under_roc_curve
0.773045 [0.768889,0.780741]
area_under_roc_curve
0.630481 [0.620741,0.648519]
area_under_roc_curve
0.784464 [0.784074,0.785185]
area_under_roc_curve
0.728389 [0.728519,0.728148]
area_under_roc_curve
0.734218 [0.736296,0.73037]
area_under_roc_curve
0.775123 [0.768889,0.786667]
area_under_roc_curve
0.785897 [0.781481,0.794074]
area_under_roc_curve
0.701184 [0.695,0.713077]
area_under_roc_curve
0.799494 [0.799231,0.8]
area_under_roc_curve
0.697176 [0.687308,0.716154]
area_under_roc_curve
0.726204 [0.724231,0.73]
area_under_roc_curve
0.873077 [0.873077,0.873077]
area_under_roc_curve
0.635658 [0.635,0.636923]
area_under_roc_curve
0.728229 [0.727308,0.73]
area_under_roc_curve
0.694332 [0.695385,0.692308]
area_under_roc_curve
0.640547 [0.639231,0.643077]
area_under_roc_curve
0.700577 [0.703077,0.695769]
area_under_roc_curve
0.686771 [0.687692,0.685]
area_under_roc_curve
0.733796 [0.730769,0.739615]
area_under_roc_curve
0.79418 [0.786154,0.809615]
area_under_roc_curve
0.760891 [0.756154,0.77]
area_under_roc_curve
0.789231 [0.789231,0.789231]
area_under_roc_curve
0.735759 [0.736154,0.735]
area_under_roc_curve
0.832581 [0.831923,0.833846]
area_under_roc_curve
0.65919 [0.655769,0.665769]
area_under_roc_curve
0.782814 [0.783077,0.782308]
area_under_roc_curve
0.696468 [0.694231,0.700769]
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
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0
average_cost
0
average_cost
0
average_cost
0
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0
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0
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0
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0
average_cost
0
average_cost
0
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0
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0
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0
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0
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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
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
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0
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0
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0
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0
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0
average_cost
0
average_cost
0
average_cost
0
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0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
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
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0
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0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
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0
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0
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0
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0
average_cost
0
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0
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0
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0
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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
f_measure
0.656261 [0.770642,0.444444]
f_measure
0.624898 [0.707071,0.472727]
f_measure
0.650767 [0.727273,0.509091]
f_measure
0.641327 [0.708333,0.517241]
f_measure
0.634708 [0.747664,0.425532]
f_measure
0.696863 [0.776699,0.54902]
f_measure
0.699959 [0.772277,0.566038]
f_measure
0.72605 [0.792079,0.603774]
f_measure
0.714286 [0.78,0.592593]
f_measure
0.660482 [0.785714,0.428571]
f_measure
0.737811 [0.803922,0.615385]
f_measure
0.72255 [0.818182,0.545455]
f_measure
0.74026 [0.8,0.62963]
f_measure
0.575603 [0.732143,0.285714]
f_measure
0.628811 [0.730769,0.44]
f_measure
0.632936 [0.72549,0.461538]
f_measure
0.584416 [0.68,0.407407]
f_measure
0.72605 [0.792079,0.603774]
f_measure
0.644144 [0.737864,0.470588]
f_measure
0.68376 [0.788991,0.488889]
f_measure
0.699959 [0.772277,0.566038]
f_measure
0.639315 [0.763636,0.409091]
f_measure
0.719852 [0.8,0.571429]
f_measure
0.723223 [0.796117,0.588235]
f_measure
0.746532 [0.819048,0.612245]
f_measure
0.711592 [0.784314,0.576923]
f_measure
0.692566 [0.75,0.586207]
f_measure
0.673869 [0.752475,0.528302]
f_measure
0.632936 [0.72549,0.461538]
f_measure
0.715884 [0.803738,0.553191]
f_measure
0.602298 [0.711538,0.4]
f_measure
0.688826 [0.785047,0.510638]
f_measure
0.711259 [0.807339,0.533333]
f_measure
0.693171 [0.780952,0.530612]
f_measure
0.702506 [0.767677,0.581818]
f_measure
0.705903 [0.810811,0.511628]
f_measure
0.746532 [0.819048,0.612245]
f_measure
0.666947 [0.729167,0.551724]
f_measure
0.632189 [0.767857,0.380952]
f_measure
0.628811 [0.730769,0.44]
f_measure
0.719852 [0.8,0.571429]
f_measure
0.704515 [0.792453,0.541667]
f_measure
0.68376 [0.788991,0.488889]
f_measure
0.639809 [0.742857,0.44898]
f_measure
0.605351 [0.666667,0.491803]
f_measure
0.634708 [0.747664,0.425532]
f_measure
0.655325 [0.75,0.48]
f_measure
0.66649 [0.761905,0.489796]
f_measure
0.74026 [0.8,0.62963]
f_measure
0.731377 [0.811321,0.583333]
f_measure
0.716472 [0.77551,0.607143]
f_measure
0.734865 [0.807692,0.6]
f_measure
0.602298 [0.711538,0.4]
f_measure
0.634708 [0.747664,0.425532]
f_measure
0.693171 [0.780952,0.530612]
f_measure
0.602298 [0.711538,0.4]
f_measure
0.705903 [0.810811,0.511628]
f_measure
0.731377 [0.811321,0.583333]
f_measure
0.711259 [0.807339,0.533333]
f_measure
0.766234 [0.82,0.666667]
f_measure
0.693171 [0.780952,0.530612]
f_measure
0.677893 [0.792793,0.465116]
f_measure
0.602298 [0.711538,0.4]
f_measure
0.653156 [0.721649,0.526316]
f_measure
0.673869 [0.752475,0.528302]
f_measure
0.704515 [0.792453,0.541667]
f_measure
0.749583 [0.815534,0.627451]
f_measure
0.655325 [0.75,0.48]
f_measure
0.742943 [0.82243,0.595745]
f_measure
0.699959 [0.772277,0.566038]
f_measure
0.700023 [0.796296,0.521739]
f_measure
0.632936 [0.72549,0.461538]
f_measure
0.655325 [0.75,0.48]
f_measure
0.72255 [0.818182,0.545455]
f_measure
0.639809 [0.742857,0.44898]
f_measure
0.693949 [0.744681,0.6]
f_measure
0.666947 [0.729167,0.551724]
f_measure
0.677653 [0.773585,0.5]
f_measure
0.705903 [0.810811,0.511628]
f_measure
0.72605 [0.792079,0.603774]
f_measure
0.628726 [0.747664,0.4]
f_measure
0.740758 [0.791667,0.642857]
f_measure
0.694932 [0.796296,0.5]
f_measure
0.6959 [0.772277,0.54902]
f_measure
0.781167 [0.817204,0.711864]
f_measure
0.680991 [0.764706,0.52]
f_measure
0.688477 [0.780952,0.510638]
f_measure
0.620094 [0.707071,0.45283]
f_measure
0.601224 [0.728972,0.355556]
f_measure
0.599261 [0.673684,0.45614]
f_measure
0.669456 [0.752475,0.509804]
f_measure
0.6959 [0.772277,0.54902]
f_measure
0.706175 [0.807339,0.511628]
f_measure
0.672495 [0.747475,0.528302]
f_measure
0.734158 [0.825688,0.55814]
f_measure
0.661388 [0.761905,0.468085]
f_measure
0.707575 [0.784314,0.56]
f_measure
0.617978 [0.735849,0.391304]
f_measure
0.722665 [0.814815,0.545455]
f_measure
0.672495 [0.747475,0.528302]
kappa
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kappa
0.179949
kappa
0.236504
kappa
0.227794
kappa
0.181174
kappa
0.326872
kappa
0.338439
kappa
0.395966
kappa
0.372593
kappa
0.237624
kappa
0.419744
kappa
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kappa
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kappa
0.04703
kappa
0.173313
kappa
0.187641
kappa
0.087407
kappa
0.395966
kappa
0.209806
kappa
0.289611
kappa
0.338439
kappa
0.189474
kappa
0.374468
kappa
0.385405
kappa
0.434043
kappa
0.361718
kappa
0.338109
kappa
0.280911
kappa
0.187641
kappa
0.363135
kappa
0.114264
kappa
0.302481
kappa
0.351384
kappa
0.314894
kappa
0.349614
kappa
0.339191
kappa
0.434043
kappa
0.282951
kappa
0.174092
kappa
0.173313
kappa
0.374468
kappa
0.338798
kappa
0.289611
kappa
0.195745
kappa
0.165676
kappa
0.181174
kappa
0.232362
kappa
0.255319
kappa
0.42963
kappa
0.398907
kappa
0.383103
kappa
0.409509
kappa
0.114264
kappa
0.181174
kappa
0.314894
kappa
0.114264
kappa
0.339191
kappa
0.398907
kappa
0.351384
kappa
0.486667
kappa
0.314894
kappa
0.276257
kappa
0.114264
kappa
0.249187
kappa
0.280911
kappa
0.338798
kappa
0.443938
kappa
0.232362
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0.423789
kappa
0.338439
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0.326709
kappa
0.187641
kappa
0.232362
kappa
0.376518
kappa
0.195745
kappa
0.348837
kappa
0.282951
kappa
0.278689
kappa
0.339191
kappa
0.395966
kappa
0.15625
kappa
0.436202
kappa
0.305648
kappa
0.321429
kappa
0.533237
kappa
0.285266
kappa
0.295161
kappa
0.160061
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0.09375
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0.133824
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0.262422
kappa
0.321429
kappa
0.330537
kappa
0.275915
kappa
0.394295
kappa
0.233871
kappa
0.344828
kappa
0.13355
kappa
0.368771
kappa
0.275915
kb_relative_information_score
17.006661
kb_relative_information_score
14.908245
kb_relative_information_score
14.913317
kb_relative_information_score
12.505409
kb_relative_information_score
14.685415
kb_relative_information_score
22.890747
kb_relative_information_score
24.236923
kb_relative_information_score
23.309146
kb_relative_information_score
25.251692
kb_relative_information_score
20.499489
kb_relative_information_score
28.196945
kb_relative_information_score
26.243529
kb_relative_information_score
29.46462
kb_relative_information_score
11.394103
kb_relative_information_score
10.836663
kb_relative_information_score
15.605164
kb_relative_information_score
3.736946
kb_relative_information_score
25.879169
kb_relative_information_score
16.660899
kb_relative_information_score
26.770208
kb_relative_information_score
25.089311
kb_relative_information_score
14.066664
kb_relative_information_score
26.831958
kb_relative_information_score
28.932381
kb_relative_information_score
30.309021
kb_relative_information_score
25.148945
kb_relative_information_score
17.85978
kb_relative_information_score
24.945012
kb_relative_information_score
13.754658
kb_relative_information_score
27.760913
kb_relative_information_score
11.084796
kb_relative_information_score
21.315937
kb_relative_information_score
26.469229
kb_relative_information_score
25.867055
kb_relative_information_score
25.164561
kb_relative_information_score
25.192024
kb_relative_information_score
31.264705
kb_relative_information_score
20.030604
kb_relative_information_score
19.672695
kb_relative_information_score
13.285643
kb_relative_information_score
23.653638
kb_relative_information_score
24.430684
kb_relative_information_score
20.801742
kb_relative_information_score
12.877439
kb_relative_information_score
8.941691
kb_relative_information_score
14.265528
kb_relative_information_score
17.783495
kb_relative_information_score
21.756049
kb_relative_information_score
31.993875
kb_relative_information_score
26.020028
kb_relative_information_score
24.240206
kb_relative_information_score
25.809952
kb_relative_information_score
6.75992
kb_relative_information_score
16.666368
kb_relative_information_score
24.752592
kb_relative_information_score
8.34941
kb_relative_information_score
28.00013
kb_relative_information_score
22.618404
kb_relative_information_score
25.742818
kb_relative_information_score
34.165485
kb_relative_information_score
22.126514
kb_relative_information_score
22.344657
kb_relative_information_score
10.421308
kb_relative_information_score
18.605209
kb_relative_information_score
16.984268
kb_relative_information_score
23.318145
kb_relative_information_score
32.740562
kb_relative_information_score
15.720022
kb_relative_information_score
32.410589
kb_relative_information_score
21.586175
kb_relative_information_score
25.842622
kb_relative_information_score
17.215543
kb_relative_information_score
14.911517
kb_relative_information_score
27.371239
kb_relative_information_score
12.779021
kb_relative_information_score
24.290865
kb_relative_information_score
18.873019
kb_relative_information_score
21.305638
kb_relative_information_score
26.59958
kb_relative_information_score
27.452003
kb_relative_information_score
16.565743
kb_relative_information_score
25.05241
kb_relative_information_score
21.705538
kb_relative_information_score
18.082448
kb_relative_information_score
33.150875
kb_relative_information_score
13.623363
kb_relative_information_score
20.493409
kb_relative_information_score
11.356879
kb_relative_information_score
9.012824
kb_relative_information_score
11.794417
kb_relative_information_score
15.581247
kb_relative_information_score
21.166967
kb_relative_information_score
26.117763
kb_relative_information_score
21.483946
kb_relative_information_score
31.927327
kb_relative_information_score
16.479172
kb_relative_information_score
30.152232
kb_relative_information_score
11.282672
kb_relative_information_score
29.05237
kb_relative_information_score
14.065676
mean_absolute_error
0.342063
mean_absolute_error
0.34946
mean_absolute_error
0.352089
mean_absolute_error
0.364217
mean_absolute_error
0.360129
mean_absolute_error
0.310754
mean_absolute_error
0.303779
mean_absolute_error
0.305546
mean_absolute_error
0.29359
mean_absolute_error
0.321578
mean_absolute_error
0.28414
mean_absolute_error
0.291098
mean_absolute_error
0.275208
mean_absolute_error
0.369685
mean_absolute_error
0.374462
mean_absolute_error
0.346527
mean_absolute_error
0.412983
mean_absolute_error
0.293205
mean_absolute_error
0.341307
mean_absolute_error
0.284207
mean_absolute_error
0.295326
mean_absolute_error
0.360724
mean_absolute_error
0.285995
mean_absolute_error
0.280322
mean_absolute_error
0.27125
mean_absolute_error
0.29636
mean_absolute_error
0.339957
mean_absolute_error
0.296437
mean_absolute_error
0.360215
mean_absolute_error
0.285698
mean_absolute_error
0.370425
mean_absolute_error
0.319543
mean_absolute_error
0.289578
mean_absolute_error
0.293028
mean_absolute_error
0.294753
mean_absolute_error
0.296658
mean_absolute_error
0.263983
mean_absolute_error
0.321459
mean_absolute_error
0.326477
mean_absolute_error
0.360389
mean_absolute_error
0.308938
mean_absolute_error
0.30136
mean_absolute_error
0.323952
mean_absolute_error
0.361939
mean_absolute_error
0.388896
mean_absolute_error
0.355995
mean_absolute_error
0.337211
mean_absolute_error
0.315505
mean_absolute_error
0.256583
mean_absolute_error
0.295988
mean_absolute_error
0.304919
mean_absolute_error
0.292955
mean_absolute_error
0.398342
mean_absolute_error
0.34267
mean_absolute_error
0.300869
mean_absolute_error
0.391758
mean_absolute_error
0.283027
mean_absolute_error
0.316915
mean_absolute_error
0.292998
mean_absolute_error
0.251267
mean_absolute_error
0.313054
mean_absolute_error
0.309044
mean_absolute_error
0.37724
mean_absolute_error
0.32887
mean_absolute_error
0.34312
mean_absolute_error
0.308026
mean_absolute_error
0.252937
mean_absolute_error
0.347515
mean_absolute_error
0.254655
mean_absolute_error
0.316657
mean_absolute_error
0.294651
mean_absolute_error
0.335544
mean_absolute_error
0.354637
mean_absolute_error
0.2916
mean_absolute_error
0.362711
mean_absolute_error
0.299125
mean_absolute_error
0.327759
mean_absolute_error
0.321194
mean_absolute_error
0.289298
mean_absolute_error
0.285371
mean_absolute_error
0.333795
mean_absolute_error
0.291892
mean_absolute_error
0.311356
mean_absolute_error
0.332562
mean_absolute_error
0.244596
mean_absolute_error
0.360702
mean_absolute_error
0.31766
mean_absolute_error
0.36495
mean_absolute_error
0.382087
mean_absolute_error
0.361783
mean_absolute_error
0.343499
mean_absolute_error
0.316299
mean_absolute_error
0.283239
mean_absolute_error
0.305909
mean_absolute_error
0.255752
mean_absolute_error
0.335709
mean_absolute_error
0.258594
mean_absolute_error
0.370335
mean_absolute_error
0.266619
mean_absolute_error
0.3546
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
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0.455001
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.455001
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
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0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
mean_prior_absolute_error
0.452427
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
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number_of_instances
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number_of_instances
77 [50,27]
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77 [50,27]
number_of_instances
77 [50,27]
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77 [50,27]
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77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
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77 [50,27]
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77 [50,27]
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77 [50,27]
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77 [50,27]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
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76 [50,26]
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76 [50,26]
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76 [50,26]
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76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
precision
0.657055 [0.711864,0.555556]
precision
0.626623 [0.714286,0.464286]
precision
0.652399 [0.734694,0.5]
precision
0.649624 [0.73913,0.483871]
precision
0.631009 [0.701754,0.5]
precision
0.694621 [0.754717,0.583333]
precision
0.69886 [0.764706,0.576923]
precision
0.725079 [0.784314,0.615385]
precision
0.714286 [0.78,0.592593]
precision
0.671219 [0.709677,0.6]
precision
0.736404 [0.788462,0.64]
precision
0.73453 [0.75,0.705882]
precision
0.74026 [0.8,0.62963]
precision
0.569669 [0.66129,0.4]
precision
0.624652 [0.703704,0.478261]
precision
0.63035 [0.711538,0.48]
precision
0.584416 [0.68,0.407407]
precision
0.725079 [0.784314,0.615385]
precision
0.640897 [0.716981,0.5]
precision
0.687541 [0.728814,0.611111]
precision
0.69886 [0.764706,0.576923]
precision
0.640183 [0.7,0.529412]
precision
0.719008 [0.763636,0.636364]
precision
0.721484 [0.773585,0.625]
precision
0.746753 [0.781818,0.681818]
precision
0.70989 [0.769231,0.6]
precision
0.700479 [0.782609,0.548387]
precision
0.672641 [0.745098,0.538462]
precision
0.63035 [0.711538,0.48]
precision
0.717783 [0.754386,0.65]
precision
0.597382 [0.685185,0.434783]
precision
0.688859 [0.736842,0.6]
precision
0.718028 [0.745763,0.666667]
precision
0.691263 [0.745455,0.590909]
precision
0.703949 [0.77551,0.571429]
precision
0.720101 [0.737705,0.6875]
precision
0.746753 [0.781818,0.681818]
precision
0.675051 [0.76087,0.516129]
precision
0.637369 [0.693548,0.533333]
precision
0.624652 [0.703704,0.478261]
precision
0.719008 [0.763636,0.636364]
precision
0.704082 [0.75,0.619048]
precision
0.687541 [0.728814,0.611111]
precision
0.635773 [0.709091,0.5]
precision
0.622835 [0.72093,0.441176]
precision
0.631009 [0.701754,0.5]
precision
0.651923 [0.722222,0.521739]
precision
0.663518 [0.727273,0.545455]
precision
0.74026 [0.8,0.62963]
precision
0.732375 [0.767857,0.666667]
precision
0.719622 [0.791667,0.586207]
precision
0.733735 [0.777778,0.652174]
precision
0.597382 [0.685185,0.434783]
precision
0.631009 [0.701754,0.5]
precision
0.691263 [0.745455,0.590909]
precision
0.597382 [0.685185,0.434783]
precision
0.720101 [0.737705,0.6875]
precision
0.732375 [0.767857,0.666667]
precision
0.718028 [0.745763,0.666667]
precision
0.766234 [0.82,0.666667]
precision
0.691263 [0.745455,0.590909]
precision
0.68754 [0.721311,0.625]
precision
0.597382 [0.685185,0.434783]
precision
0.658884 [0.744681,0.5]
precision
0.672641 [0.745098,0.538462]
precision
0.704082 [0.75,0.619048]
precision
0.748346 [0.792453,0.666667]
precision
0.651923 [0.722222,0.521739]
precision
0.746708 [0.77193,0.7]
precision
0.69886 [0.764706,0.576923]
precision
0.702878 [0.741379,0.631579]
precision
0.63035 [0.711538,0.48]
precision
0.651923 [0.722222,0.521739]
precision
0.73453 [0.75,0.705882]
precision
0.635773 [0.709091,0.5]
precision
0.707792 [0.795455,0.545455]
precision
0.675051 [0.76087,0.516129]
precision
0.675788 [0.732143,0.571429]
precision
0.720101 [0.737705,0.6875]
precision
0.725079 [0.784314,0.615385]
precision
0.62373 [0.701754,0.473684]
precision
0.748741 [0.826087,0.6]
precision
0.696814 [0.741379,0.611111]
precision
0.694675 [0.764706,0.56]
precision
0.799099 [0.883721,0.636364]
precision
0.678728 [0.75,0.541667]
precision
0.685919 [0.745455,0.571429]
precision
0.621972 [0.714286,0.444444]
precision
0.594183 [0.684211,0.421053]
precision
0.6113 [0.711111,0.419355]
precision
0.668091 [0.745098,0.52]
precision
0.694675 [0.764706,0.56]
precision
0.711996 [0.745763,0.647059]
precision
0.674166 [0.755102,0.518519]
precision
0.74327 [0.762712,0.705882]
precision
0.657667 [0.727273,0.52381]
precision
0.705634 [0.769231,0.583333]
precision
0.612124 [0.696429,0.45]
precision
0.727163 [0.758621,0.666667]
precision
0.674166 [0.755102,0.518519]
predictive_accuracy
0.675325
predictive_accuracy
0.623377
predictive_accuracy
0.649351
predictive_accuracy
0.636364
predictive_accuracy
0.649351
predictive_accuracy
0.701299
predictive_accuracy
0.701299
predictive_accuracy
0.727273
predictive_accuracy
0.714286
predictive_accuracy
0.688312
predictive_accuracy
0.74026
predictive_accuracy
0.74026
predictive_accuracy
0.74026
predictive_accuracy
0.61039
predictive_accuracy
0.636364
predictive_accuracy
0.636364
predictive_accuracy
0.584416
predictive_accuracy
0.727273
predictive_accuracy
0.649351
predictive_accuracy
0.701299
predictive_accuracy
0.701299
predictive_accuracy
0.662338
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.753247
predictive_accuracy
0.714286
predictive_accuracy
0.688312
predictive_accuracy
0.675325
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0.636364
predictive_accuracy
0.727273
predictive_accuracy
0.61039
predictive_accuracy
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predictive_accuracy
0.727273
predictive_accuracy
0.701299
predictive_accuracy
0.701299
predictive_accuracy
0.727273
predictive_accuracy
0.753247
predictive_accuracy
0.662338
predictive_accuracy
0.662338
predictive_accuracy
0.636364
predictive_accuracy
0.727273
predictive_accuracy
0.714286
predictive_accuracy
0.701299
predictive_accuracy
0.649351
predictive_accuracy
0.597403
predictive_accuracy
0.649351
predictive_accuracy
0.662338
predictive_accuracy
0.675325
predictive_accuracy
0.74026
predictive_accuracy
0.74026
predictive_accuracy
0.714286
predictive_accuracy
0.74026
predictive_accuracy
0.61039
predictive_accuracy
0.649351
predictive_accuracy
0.701299
predictive_accuracy
0.61039
predictive_accuracy
0.727273
predictive_accuracy
0.74026
predictive_accuracy
0.727273
predictive_accuracy
0.766234
predictive_accuracy
0.701299
predictive_accuracy
0.701299
predictive_accuracy
0.61039
predictive_accuracy
0.649351
predictive_accuracy
0.675325
predictive_accuracy
0.714286
predictive_accuracy
0.753247
predictive_accuracy
0.662338
predictive_accuracy
0.753247
predictive_accuracy
0.701299
predictive_accuracy
0.714286
predictive_accuracy
0.636364
predictive_accuracy
0.662338
predictive_accuracy
0.74026
predictive_accuracy
0.649351
predictive_accuracy
0.688312
predictive_accuracy
0.662338
predictive_accuracy
0.688312
predictive_accuracy
0.727273
predictive_accuracy
0.727273
predictive_accuracy
0.644737
predictive_accuracy
0.736842
predictive_accuracy
0.710526
predictive_accuracy
0.697368
predictive_accuracy
0.776316
predictive_accuracy
0.684211
predictive_accuracy
0.697368
predictive_accuracy
0.618421
predictive_accuracy
0.618421
predictive_accuracy
0.592105
predictive_accuracy
0.671053
predictive_accuracy
0.697368
predictive_accuracy
0.723684
predictive_accuracy
0.671053
predictive_accuracy
0.75
predictive_accuracy
0.671053
predictive_accuracy
0.710526
predictive_accuracy
0.631579
predictive_accuracy
0.736842
predictive_accuracy
0.671053
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
0.675325 [0.84,0.37037]
recall
0.623377 [0.7,0.481481]
recall
0.649351 [0.72,0.518519]
recall
0.636364 [0.68,0.555556]
recall
0.649351 [0.8,0.37037]
recall
0.701299 [0.8,0.518519]
recall
0.701299 [0.78,0.555556]
recall
0.727273 [0.8,0.592593]
recall
0.714286 [0.78,0.592593]
recall
0.688312 [0.88,0.333333]
recall
0.74026 [0.82,0.592593]
recall
0.74026 [0.9,0.444444]
recall
0.74026 [0.8,0.62963]
recall
0.61039 [0.82,0.222222]
recall
0.636364 [0.76,0.407407]
recall
0.636364 [0.74,0.444444]
recall
0.584416 [0.68,0.407407]
recall
0.727273 [0.8,0.592593]
recall
0.649351 [0.76,0.444444]
recall
0.701299 [0.86,0.407407]
recall
0.701299 [0.78,0.555556]
recall
0.662338 [0.84,0.333333]
recall
0.727273 [0.84,0.518519]
recall
0.727273 [0.82,0.555556]
recall
0.753247 [0.86,0.555556]
recall
0.714286 [0.8,0.555556]
recall
0.688312 [0.72,0.62963]
recall
0.675325 [0.76,0.518519]
recall
0.636364 [0.74,0.444444]
recall
0.727273 [0.86,0.481481]
recall
0.61039 [0.74,0.37037]
recall
0.701299 [0.84,0.444444]
recall
0.727273 [0.88,0.444444]
recall
0.701299 [0.82,0.481481]
recall
0.701299 [0.76,0.592593]
recall
0.727273 [0.9,0.407407]
recall
0.753247 [0.86,0.555556]
recall
0.662338 [0.7,0.592593]
recall
0.662338 [0.86,0.296296]
recall
0.636364 [0.76,0.407407]
recall
0.727273 [0.84,0.518519]
recall
0.714286 [0.84,0.481481]
recall
0.701299 [0.86,0.407407]
recall
0.649351 [0.78,0.407407]
recall
0.597403 [0.62,0.555556]
recall
0.649351 [0.8,0.37037]
recall
0.662338 [0.78,0.444444]
recall
0.675325 [0.8,0.444444]
recall
0.74026 [0.8,0.62963]
recall
0.74026 [0.86,0.518519]
recall
0.714286 [0.76,0.62963]
recall
0.74026 [0.84,0.555556]
recall
0.61039 [0.74,0.37037]
recall
0.649351 [0.8,0.37037]
recall
0.701299 [0.82,0.481481]
recall
0.61039 [0.74,0.37037]
recall
0.727273 [0.9,0.407407]
recall
0.74026 [0.86,0.518519]
recall
0.727273 [0.88,0.444444]
recall
0.766234 [0.82,0.666667]
recall
0.701299 [0.82,0.481481]
recall
0.701299 [0.88,0.37037]
recall
0.61039 [0.74,0.37037]
recall
0.649351 [0.7,0.555556]
recall
0.675325 [0.76,0.518519]
recall
0.714286 [0.84,0.481481]
recall
0.753247 [0.84,0.592593]
recall
0.662338 [0.78,0.444444]
recall
0.753247 [0.88,0.518519]
recall
0.701299 [0.78,0.555556]
recall
0.714286 [0.86,0.444444]
recall
0.636364 [0.74,0.444444]
recall
0.662338 [0.78,0.444444]
recall
0.74026 [0.9,0.444444]
recall
0.649351 [0.78,0.407407]
recall
0.688312 [0.7,0.666667]
recall
0.662338 [0.7,0.592593]
recall
0.688312 [0.82,0.444444]
recall
0.727273 [0.9,0.407407]
recall
0.727273 [0.8,0.592593]
recall
0.644737 [0.8,0.346154]
recall
0.736842 [0.76,0.692308]
recall
0.710526 [0.86,0.423077]
recall
0.697368 [0.78,0.538462]
recall
0.776316 [0.76,0.807692]
recall
0.684211 [0.78,0.5]
recall
0.697368 [0.82,0.461538]
recall
0.618421 [0.7,0.461538]
recall
0.618421 [0.78,0.307692]
recall
0.592105 [0.64,0.5]
recall
0.671053 [0.76,0.5]
recall
0.697368 [0.78,0.538462]
recall
0.723684 [0.88,0.423077]
recall
0.671053 [0.74,0.538462]
recall
0.75 [0.9,0.461538]
recall
0.671053 [0.8,0.423077]
recall
0.710526 [0.8,0.538462]
recall
0.631579 [0.78,0.346154]
recall
0.736842 [0.88,0.461538]
recall
0.671053 [0.74,0.538462]
relative_absolute_error
0.751786
relative_absolute_error
0.768043
relative_absolute_error
0.773821
relative_absolute_error
0.800476
relative_absolute_error
0.791491
relative_absolute_error
0.682974
relative_absolute_error
0.667646
relative_absolute_error
0.671529
relative_absolute_error
0.645252
relative_absolute_error
0.706764
relative_absolute_error
0.624482
relative_absolute_error
0.639774
relative_absolute_error
0.604852
relative_absolute_error
0.812493
relative_absolute_error
0.822992
relative_absolute_error
0.761597
relative_absolute_error
0.907652
relative_absolute_error
0.644405
relative_absolute_error
0.750125
relative_absolute_error
0.624629
relative_absolute_error
0.649066
relative_absolute_error
0.792799
relative_absolute_error
0.62856
relative_absolute_error
0.616091
relative_absolute_error
0.596153
relative_absolute_error
0.65134
relative_absolute_error
0.747158
relative_absolute_error
0.651509
relative_absolute_error
0.791679
relative_absolute_error
0.627906
relative_absolute_error
0.81412
relative_absolute_error
0.702292
relative_absolute_error
0.636433
relative_absolute_error
0.644016
relative_absolute_error
0.647807
relative_absolute_error
0.651994
relative_absolute_error
0.580182
relative_absolute_error
0.706503
relative_absolute_error
0.71753
relative_absolute_error
0.792061
relative_absolute_error
0.678983
relative_absolute_error
0.662329
relative_absolute_error
0.711981
relative_absolute_error
0.79547
relative_absolute_error
0.854715
relative_absolute_error
0.782405
relative_absolute_error
0.741123
relative_absolute_error
0.693417
relative_absolute_error
0.563918
relative_absolute_error
0.650522
relative_absolute_error
0.67015
relative_absolute_error
0.643857
relative_absolute_error
0.875474
relative_absolute_error
0.753119
relative_absolute_error
0.66125
relative_absolute_error
0.861006
relative_absolute_error
0.622036
relative_absolute_error
0.696515
relative_absolute_error
0.643951
relative_absolute_error
0.552235
relative_absolute_error
0.688029
relative_absolute_error
0.679215
relative_absolute_error
0.829097
relative_absolute_error
0.72279
relative_absolute_error
0.754108
relative_absolute_error
0.676979
relative_absolute_error
0.555904
relative_absolute_error
0.763768
relative_absolute_error
0.559681
relative_absolute_error
0.695948
relative_absolute_error
0.647584
relative_absolute_error
0.737458
relative_absolute_error
0.77942
relative_absolute_error
0.640878
relative_absolute_error
0.797166
relative_absolute_error
0.657416
relative_absolute_error
0.720349
relative_absolute_error
0.70592
relative_absolute_error
0.635819
relative_absolute_error
0.627188
relative_absolute_error
0.737789
relative_absolute_error
0.64517
relative_absolute_error
0.688192
relative_absolute_error
0.735062
relative_absolute_error
0.540632
relative_absolute_error
0.797261
relative_absolute_error
0.702125
relative_absolute_error
0.806649
relative_absolute_error
0.844527
relative_absolute_error
0.799651
relative_absolute_error
0.759238
relative_absolute_error
0.699117
relative_absolute_error
0.626045
relative_absolute_error
0.676152
relative_absolute_error
0.565289
relative_absolute_error
0.74202
relative_absolute_error
0.571572
relative_absolute_error
0.818553
relative_absolute_error
0.589309
relative_absolute_error
0.783774
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
0.530145
root_mean_squared_error
0.50301
root_mean_squared_error
0.529322
root_mean_squared_error
0.546246
root_mean_squared_error
0.536544
root_mean_squared_error
0.470242
root_mean_squared_error
0.465716
root_mean_squared_error
0.468496
root_mean_squared_error
0.489228
root_mean_squared_error
0.509816
root_mean_squared_error
0.446205
root_mean_squared_error
0.487311
root_mean_squared_error
0.459356
root_mean_squared_error
0.558907
root_mean_squared_error
0.557158
root_mean_squared_error
0.528199
root_mean_squared_error
0.580674
root_mean_squared_error
0.460535
root_mean_squared_error
0.5141
root_mean_squared_error
0.463153
root_mean_squared_error
0.468598
root_mean_squared_error
0.527562
root_mean_squared_error
0.464251
root_mean_squared_error
0.451831
root_mean_squared_error
0.441868
root_mean_squared_error
0.470029
root_mean_squared_error
0.499184
root_mean_squared_error
0.462084
root_mean_squared_error
0.527536
root_mean_squared_error
0.473065
root_mean_squared_error
0.555103
root_mean_squared_error
0.508519
root_mean_squared_error
0.464826
root_mean_squared_error
0.464895
root_mean_squared_error
0.477023
root_mean_squared_error
0.475566
root_mean_squared_error
0.460326
root_mean_squared_error
0.501699
root_mean_squared_error
0.513163
root_mean_squared_error
0.532805
root_mean_squared_error
0.465748
root_mean_squared_error
0.491047
root_mean_squared_error
0.512306
root_mean_squared_error
0.535233
root_mean_squared_error
0.533413
root_mean_squared_error
0.540105
root_mean_squared_error
0.502605
root_mean_squared_error
0.495126
root_mean_squared_error
0.442817
root_mean_squared_error
0.474771
root_mean_squared_error
0.461554
root_mean_squared_error
0.46601
root_mean_squared_error
0.563861
root_mean_squared_error
0.521244
root_mean_squared_error
0.478737
root_mean_squared_error
0.564235
root_mean_squared_error
0.47023
root_mean_squared_error
0.497873
root_mean_squared_error
0.472737
root_mean_squared_error
0.414419
root_mean_squared_error
0.485604
root_mean_squared_error
0.495948
root_mean_squared_error
0.557586
root_mean_squared_error
0.509473
root_mean_squared_error
0.520718
root_mean_squared_error
0.471187
root_mean_squared_error
0.440264
root_mean_squared_error
0.512961
root_mean_squared_error
0.439379
root_mean_squared_error
0.478274
root_mean_squared_error
0.473722
root_mean_squared_error
0.507449
root_mean_squared_error
0.511976
root_mean_squared_error
0.456951
root_mean_squared_error
0.535698
root_mean_squared_error
0.47233
root_mean_squared_error
0.501008
root_mean_squared_error
0.499494
root_mean_squared_error
0.480152
root_mean_squared_error
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