337857
2
Joaquin Vanschoren
4312
Supervised Classification
predictive_accuracy
1200
weka.LADTree(4)
2070
weka.classifiers.trees.LADTree -- -B 10
B
10
1200
weka
weka_3.7.12
741
rmftsa_sleepdata
https://www.openml.org/data/download/53275/rmftsa_sleepdata.arff
-1
1159026
description
https://api.openml.org/data/download/1159026/weka_generated_run652989953107787174.xml
-1
1159029
model_readable
https://api.openml.org/data/download/1159029/WekaModel_weka.classifiers.trees.LADTree3708735297002726943.model
-1
1159028
model_serialized
https://api.openml.org/data/download/1159028/WekaSerialized_weka.classifiers.trees.LADTree1114934215654715390.model
-1
1159027
predictions
https://api.openml.org/data/download/1159027/weka_generated_predictions924197513278161686.arff
area_under_roc_curve
0.800089 [0.800089,0.800089]
average_cost
0
f_measure
0.737265 [0.72854,0.745888]
kappa
0.474815
kb_relative_information_score
3326.333579
mean_absolute_error
0.351556
mean_prior_absolute_error
0.499983
number_of_instances
10240 [5090,5150]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.738119 [0.749584,0.726787]
predictive_accuracy
0.7375
prior_entropy
0.999975
recall
0.7375 [0.708644,0.766019]
relative_absolute_error
0.703135
root_mean_prior_squared_error
0.499991
root_mean_squared_error
0.424527
root_relative_squared_error
0.849069
scimark_benchmark
1339.619727 [798.6449761051487, 1005.9801424741638, 545.0466032518232, 1067.3615245586175, 3281.0653887602693]
total_cost
0
usercpu_time_millis
30
usercpu_time_millis_testing
0
usercpu_time_millis_training
30
area_under_roc_curve
0.838047 [0.838047,0.838047]
area_under_roc_curve
0.776395 [0.776395,0.776395]
area_under_roc_curve
0.74359 [0.74359,0.74359]
area_under_roc_curve
0.818062 [0.818062,0.818062]
area_under_roc_curve
0.827489 [0.827489,0.827489]
area_under_roc_curve
0.862934 [0.862934,0.862934]
area_under_roc_curve
0.737745 [0.737745,0.737745]
area_under_roc_curve
0.836161 [0.836161,0.836161]
area_under_roc_curve
0.800716 [0.800716,0.800716]
area_under_roc_curve
0.723982 [0.723982,0.723982]
area_under_roc_curve
0.816365 [0.816365,0.816365]
area_under_roc_curve
0.84408 [0.84408,0.84408]
area_under_roc_curve
0.861802 [0.861802,0.861802]
area_under_roc_curve
0.658937 [0.658937,0.658937]
area_under_roc_curve
0.787519 [0.787519,0.787519]
area_under_roc_curve
0.740762 [0.740762,0.740762]
area_under_roc_curve
0.81825 [0.81825,0.81825]
area_under_roc_curve
0.80411 [0.80411,0.80411]
area_under_roc_curve
0.787142 [0.787142,0.787142]
area_under_roc_curve
0.893854 [0.893854,0.893854]
area_under_roc_curve
0.799208 [0.799208,0.799208]
area_under_roc_curve
0.843137 [0.843137,0.843137]
area_under_roc_curve
0.800151 [0.800151,0.800151]
area_under_roc_curve
0.882919 [0.882919,0.882919]
area_under_roc_curve
0.784125 [0.784125,0.784125]
area_under_roc_curve
0.740573 [0.740573,0.740573]
area_under_roc_curve
0.823529 [0.823529,0.823529]
area_under_roc_curve
0.840309 [0.840309,0.840309]
area_under_roc_curve
0.748303 [0.748303,0.748303]
area_under_roc_curve
0.834653 [0.834653,0.834653]
area_under_roc_curve
0.786576 [0.786576,0.786576]
area_under_roc_curve
0.701169 [0.701169,0.701169]
area_under_roc_curve
0.805053 [0.805053,0.805053]
area_under_roc_curve
0.871606 [0.871606,0.871606]
area_under_roc_curve
0.843326 [0.843326,0.843326]
area_under_roc_curve
0.757164 [0.757164,0.757164]
area_under_roc_curve
0.824661 [0.824661,0.824661]
area_under_roc_curve
0.732278 [0.732278,0.732278]
area_under_roc_curve
0.800339 [0.800339,0.800339]
area_under_roc_curve
0.916101 [0.916101,0.916101]
area_under_roc_curve
0.831603 [0.831603,0.831603]
area_under_roc_curve
0.806997 [0.806997,0.806997]
area_under_roc_curve
0.818916 [0.818916,0.818916]
area_under_roc_curve
0.757692 [0.757692,0.757692]
area_under_roc_curve
0.834808 [0.834808,0.834808]
area_under_roc_curve
0.837178 [0.837178,0.837178]
area_under_roc_curve
0.796346 [0.796346,0.796346]
area_under_roc_curve
0.763077 [0.763077,0.763077]
area_under_roc_curve
0.828335 [0.828335,0.828335]
area_under_roc_curve
0.844867 [0.844867,0.844867]
area_under_roc_curve
0.781046 [0.781046,0.781046]
area_under_roc_curve
0.835448 [0.835448,0.835448]
area_under_roc_curve
0.763168 [0.763168,0.763168]
area_under_roc_curve
0.778931 [0.778931,0.778931]
area_under_roc_curve
0.807958 [0.807958,0.807958]
area_under_roc_curve
0.773741 [0.773741,0.773741]
area_under_roc_curve
0.804691 [0.804691,0.804691]
area_under_roc_curve
0.792003 [0.792003,0.792003]
area_under_roc_curve
0.852557 [0.852557,0.852557]
area_under_roc_curve
0.793541 [0.793541,0.793541]
area_under_roc_curve
0.787197 [0.787197,0.787197]
area_under_roc_curve
0.814687 [0.814687,0.814687]
area_under_roc_curve
0.79258 [0.79258,0.79258]
area_under_roc_curve
0.774894 [0.774894,0.774894]
area_under_roc_curve
0.82103 [0.82103,0.82103]
area_under_roc_curve
0.890811 [0.890811,0.890811]
area_under_roc_curve
0.772587 [0.772587,0.772587]
area_under_roc_curve
0.729143 [0.729143,0.729143]
area_under_roc_curve
0.824491 [0.824491,0.824491]
area_under_roc_curve
0.787197 [0.787197,0.787197]
area_under_roc_curve
0.819685 [0.819685,0.819685]
area_under_roc_curve
0.630334 [0.630334,0.630334]
area_under_roc_curve
0.847559 [0.847559,0.847559]
area_under_roc_curve
0.781046 [0.781046,0.781046]
area_under_roc_curve
0.761246 [0.761246,0.761246]
area_under_roc_curve
0.699154 [0.699154,0.699154]
area_under_roc_curve
0.868897 [0.868897,0.868897]
area_under_roc_curve
0.834487 [0.834487,0.834487]
area_under_roc_curve
0.760669 [0.760669,0.760669]
area_under_roc_curve
0.742022 [0.742022,0.742022]
area_under_roc_curve
0.789889 [0.789889,0.789889]
area_under_roc_curve
0.877547 [0.877547,0.877547]
area_under_roc_curve
0.747789 [0.747789,0.747789]
area_under_roc_curve
0.84083 [0.84083,0.84083]
area_under_roc_curve
0.764706 [0.764706,0.764706]
area_under_roc_curve
0.820454 [0.820454,0.820454]
area_under_roc_curve
0.850058 [0.850058,0.850058]
area_under_roc_curve
0.810265 [0.810265,0.810265]
area_under_roc_curve
0.795463 [0.795463,0.795463]
area_under_roc_curve
0.733564 [0.733564,0.733564]
area_under_roc_curve
0.799423 [0.799423,0.799423]
area_under_roc_curve
0.813077 [0.813077,0.813077]
area_under_roc_curve
0.833846 [0.833846,0.833846]
area_under_roc_curve
0.775279 [0.775279,0.775279]
area_under_roc_curve
0.804691 [0.804691,0.804691]
area_under_roc_curve
0.840385 [0.840385,0.840385]
area_under_roc_curve
0.752018 [0.752018,0.752018]
area_under_roc_curve
0.797962 [0.797962,0.797962]
area_under_roc_curve
0.845385 [0.845385,0.845385]
area_under_roc_curve
0.714231 [0.714231,0.714231]
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
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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
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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
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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
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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
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0
average_cost
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
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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
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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
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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
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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
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0
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0
average_cost
0
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0
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0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.784168 [0.76087,0.807018]
f_measure
0.679551 [0.673267,0.685714]
f_measure
0.686062 [0.652174,0.719298]
f_measure
0.713526 [0.674157,0.752137]
f_measure
0.737716 [0.742857,0.732673]
f_measure
0.775812 [0.788991,0.762887]
f_measure
0.676868 [0.645161,0.707965]
f_measure
0.764058 [0.789474,0.73913]
f_measure
0.746857 [0.759259,0.734694]
f_measure
0.658844 [0.678899,0.639175]
f_measure
0.805789 [0.807692,0.803922]
f_measure
0.786408 [0.784314,0.788462]
f_measure
0.776699 [0.776699,0.776699]
f_measure
0.582446 [0.574257,0.590476]
f_measure
0.757007 [0.747475,0.766355]
f_measure
0.674012 [0.629213,0.717949]
f_measure
0.728155 [0.72549,0.730769]
f_measure
0.74743 [0.74,0.754717]
f_measure
0.725304 [0.695652,0.754386]
f_measure
0.805825 [0.803922,0.807692]
f_measure
0.737567 [0.727273,0.747664]
f_measure
0.776277 [0.785047,0.767677]
f_measure
0.689145 [0.68,0.698113]
f_measure
0.844631 [0.846154,0.843137]
f_measure
0.728104 [0.730769,0.72549]
f_measure
0.679612 [0.679612,0.679612]
f_measure
0.728155 [0.72549,0.730769]
f_measure
0.76655 [0.755102,0.777778]
f_measure
0.716035 [0.688172,0.743363]
f_measure
0.754741 [0.778761,0.731183]
f_measure
0.728155 [0.72549,0.730769]
f_measure
0.621145 [0.628571,0.613861]
f_measure
0.727074 [0.708333,0.745455]
f_measure
0.796078 [0.792079,0.8]
f_measure
0.772796 [0.741573,0.803419]
f_measure
0.718394 [0.712871,0.72381]
f_measure
0.755203 [0.731183,0.778761]
f_measure
0.692052 [0.643678,0.739496]
f_measure
0.745846 [0.723404,0.767857]
f_measure
0.864052 [0.865385,0.862745]
f_measure
0.774315 [0.780952,0.767677]
f_measure
0.720219 [0.681818,0.758621]
f_measure
0.735269 [0.737864,0.732673]
f_measure
0.725279 [0.714286,0.735849]
f_measure
0.764162 [0.773585,0.755102]
f_measure
0.773967 [0.762887,0.785047]
f_measure
0.762879 [0.73913,0.785714]
f_measure
0.695051 [0.673684,0.715596]
f_measure
0.754312 [0.742268,0.766355]
f_measure
0.75469 [0.747475,0.761905]
f_measure
0.784231 [0.788462,0.78]
f_measure
0.783565 [0.770833,0.796296]
f_measure
0.715001 [0.728972,0.701031]
f_measure
0.71544 [0.707071,0.72381]
f_measure
0.723791 [0.745455,0.702128]
f_measure
0.720219 [0.681818,0.758621]
f_measure
0.77274 [0.792793,0.752688]
f_measure
0.692502 [0.659341,0.725664]
f_measure
0.782979 [0.8,0.765957]
f_measure
0.730923 [0.696629,0.765217]
f_measure
0.71544 [0.707071,0.72381]
f_measure
0.754312 [0.742268,0.766355]
f_measure
0.782979 [0.765957,0.8]
f_measure
0.710992 [0.674157,0.747826]
f_measure
0.733217 [0.709677,0.756757]
f_measure
0.820141 [0.795455,0.844828]
f_measure
0.713455 [0.738739,0.688172]
f_measure
0.600313 [0.545455,0.655172]
f_measure
0.763889 [0.75,0.777778]
f_measure
0.685185 [0.666667,0.703704]
f_measure
0.745 [0.74,0.75]
f_measure
0.620298 [0.568182,0.672414]
f_measure
0.803241 [0.814815,0.791667]
f_measure
0.720219 [0.681818,0.758621]
f_measure
0.700235 [0.659091,0.741379]
f_measure
0.695346 [0.71028,0.680412]
f_measure
0.794098 [0.792079,0.796117]
f_measure
0.771856 [0.747253,0.79646]
f_measure
0.696049 [0.693069,0.699029]
f_measure
0.67494 [0.652632,0.697248]
f_measure
0.705769 [0.7,0.711538]
f_measure
0.812844 [0.8,0.825688]
f_measure
0.695815 [0.704762,0.686869]
f_measure
0.833189 [0.838095,0.828283]
f_measure
0.645833 [0.666667,0.625]
f_measure
0.75469 [0.747475,0.761905]
f_measure
0.793143 [0.778947,0.807339]
f_measure
0.774315 [0.780952,0.767677]
f_measure
0.715001 [0.728972,0.701031]
f_measure
0.685791 [0.698113,0.673469]
f_measure
0.724219 [0.740741,0.708333]
f_measure
0.803922 [0.803922,0.803922]
f_measure
0.773134 [0.752688,0.792793]
f_measure
0.734657 [0.747664,0.721649]
f_measure
0.733217 [0.709677,0.756757]
f_measure
0.723359 [0.695652,0.75]
f_measure
0.681871 [0.644444,0.719298]
f_measure
0.74352 [0.763636,0.723404]
f_measure
0.757983 [0.714286,0.8]
f_measure
0.665119 [0.638298,0.690909]
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kappa
0.359042
kappa
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kappa
0.435456
kappa
0.475975
kappa
0.553945
kappa
0.358074
kappa
0.534989
kappa
0.495669
kappa
0.32122
kappa
0.61176
kappa
0.572775
kappa
0.55344
kappa
0.164812
kappa
0.514243
kappa
0.357588
kappa
0.456259
kappa
0.494908
kappa
0.455232
kappa
0.611614
kappa
0.475382
kappa
0.553777
kappa
0.378348
kappa
0.689408
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0.456464
kappa
0.359284
kappa
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kappa
0.533585
kappa
0.435883
kappa
0.515522
kappa
0.456259
kappa
0.243075
kappa
0.455644
kappa
0.592118
kappa
0.552259
kappa
0.436734
kappa
0.513692
kappa
0.396294
kappa
0.494335
kappa
0.728232
kappa
0.54902
kappa
0.45098
kappa
0.470588
kappa
0.450346
kappa
0.530315
kappa
0.54902
kappa
0.527778
kappa
0.390751
kappa
0.509804
kappa
0.509804
kappa
0.568627
kappa
0.568627
kappa
0.431373
kappa
0.431373
kappa
0.45098
kappa
0.45098
kappa
0.54902
kappa
0.392157
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0.568627
kappa
0.470588
kappa
0.431373
kappa
0.509804
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0.568627
kappa
0.431373
kappa
0.470588
kappa
0.647059
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0.431373
kappa
0.215686
kappa
0.529412
kappa
0.372549
kappa
0.490196
kappa
0.254902
kappa
0.607843
kappa
0.45098
kappa
0.411765
kappa
0.392157
kappa
0.588235
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0.54902
kappa
0.392157
kappa
0.352941
kappa
0.411765
kappa
0.627451
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0.392157
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0.666667
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0.294118
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0.509804
kappa
0.588235
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0.54902
kappa
0.431373
kappa
0.372549
kappa
0.452454
kappa
0.607994
kappa
0.547628
kappa
0.470588
kappa
0.470588
kappa
0.449074
kappa
0.372549
kappa
0.490196
kappa
0.526316
kappa
0.331534
kb_relative_information_score
34.895056
kb_relative_information_score
29.671539
kb_relative_information_score
26.554897
kb_relative_information_score
35.649988
kb_relative_information_score
36.307074
kb_relative_information_score
37.6926
kb_relative_information_score
25.107701
kb_relative_information_score
37.636392
kb_relative_information_score
34.25695
kb_relative_information_score
23.645011
kb_relative_information_score
37.477792
kb_relative_information_score
35.330962
kb_relative_information_score
37.835833
kb_relative_information_score
17.671118
kb_relative_information_score
32.877059
kb_relative_information_score
29.659299
kb_relative_information_score
33.143056
kb_relative_information_score
34.058972
kb_relative_information_score
31.560192
kb_relative_information_score
44.355795
kb_relative_information_score
35.2583
kb_relative_information_score
39.169221
kb_relative_information_score
33.837127
kb_relative_information_score
43.546649
kb_relative_information_score
29.919515
kb_relative_information_score
26.174798
kb_relative_information_score
34.89374
kb_relative_information_score
38.554266
kb_relative_information_score
26.472645
kb_relative_information_score
38.732609
kb_relative_information_score
34.236247
kb_relative_information_score
23.905004
kb_relative_information_score
34.243552
kb_relative_information_score
42.196423
kb_relative_information_score
38.603319
kb_relative_information_score
30.607789
kb_relative_information_score
38.870798
kb_relative_information_score
25.780373
kb_relative_information_score
30.169953
kb_relative_information_score
45.498767
kb_relative_information_score
37.106324
kb_relative_information_score
33.964446
kb_relative_information_score
34.189193
kb_relative_information_score
29.000728
kb_relative_information_score
36.153818
kb_relative_information_score
35.61772
kb_relative_information_score
36.618078
kb_relative_information_score
30.333167
kb_relative_information_score
35.220619
kb_relative_information_score
37.625406
kb_relative_information_score
33.441935
kb_relative_information_score
39.166566
kb_relative_information_score
28.915231
kb_relative_information_score
31.120611
kb_relative_information_score
33.955264
kb_relative_information_score
28.783784
kb_relative_information_score
35.457377
kb_relative_information_score
28.986154
kb_relative_information_score
40.162103
kb_relative_information_score
32.84387
kb_relative_information_score
29.753008
kb_relative_information_score
36.622432
kb_relative_information_score
32.779603
kb_relative_information_score
29.192029
kb_relative_information_score
33.983657
kb_relative_information_score
42.298927
kb_relative_information_score
30.750986
kb_relative_information_score
22.957055
kb_relative_information_score
37.449513
kb_relative_information_score
31.167661
kb_relative_information_score
35.325269
kb_relative_information_score
15.03064
kb_relative_information_score
40.611072
kb_relative_information_score
32.126614
kb_relative_information_score
27.54347
kb_relative_information_score
22.84619
kb_relative_information_score
41.92223
kb_relative_information_score
38.859951
kb_relative_information_score
27.062315
kb_relative_information_score
25.700342
kb_relative_information_score
31.613283
kb_relative_information_score
40.258461
kb_relative_information_score
27.728176
kb_relative_information_score
40.191409
kb_relative_information_score
29.400155
kb_relative_information_score
35.068126
kb_relative_information_score
36.389097
kb_relative_information_score
36.644203
kb_relative_information_score
34.777179
kb_relative_information_score
27.322121
kb_relative_information_score
34.995045
kb_relative_information_score
35.955913
kb_relative_information_score
37.638561
kb_relative_information_score
28.772562
kb_relative_information_score
32.492962
kb_relative_information_score
36.006295
kb_relative_information_score
25.827821
kb_relative_information_score
33.138618
kb_relative_information_score
37.796721
kb_relative_information_score
25.613126
mean_absolute_error
0.348045
mean_absolute_error
0.36642
mean_absolute_error
0.38151
mean_absolute_error
0.338756
mean_absolute_error
0.338304
mean_absolute_error
0.333495
mean_absolute_error
0.38789
mean_absolute_error
0.334245
mean_absolute_error
0.348886
mean_absolute_error
0.396373
mean_absolute_error
0.336131
mean_absolute_error
0.344275
mean_absolute_error
0.333572
mean_absolute_error
0.418601
mean_absolute_error
0.354456
mean_absolute_error
0.364
mean_absolute_error
0.351725
mean_absolute_error
0.349598
mean_absolute_error
0.361208
mean_absolute_error
0.303061
mean_absolute_error
0.342357
mean_absolute_error
0.325576
mean_absolute_error
0.345212
mean_absolute_error
0.309689
mean_absolute_error
0.367612
mean_absolute_error
0.382525
mean_absolute_error
0.346504
mean_absolute_error
0.329852
mean_absolute_error
0.383468
mean_absolute_error
0.326194
mean_absolute_error
0.34729
mean_absolute_error
0.392974
mean_absolute_error
0.346587
mean_absolute_error
0.313915
mean_absolute_error
0.330298
mean_absolute_error
0.363633
mean_absolute_error
0.324437
mean_absolute_error
0.386563
mean_absolute_error
0.367472
mean_absolute_error
0.300469
mean_absolute_error
0.334942
mean_absolute_error
0.346121
mean_absolute_error
0.347531
mean_absolute_error
0.371036
mean_absolute_error
0.338173
mean_absolute_error
0.340379
mean_absolute_error
0.33617
mean_absolute_error
0.361767
mean_absolute_error
0.342953
mean_absolute_error
0.329465
mean_absolute_error
0.352507
mean_absolute_error
0.325786
mean_absolute_error
0.370419
mean_absolute_error
0.358464
mean_absolute_error
0.34693
mean_absolute_error
0.371511
mean_absolute_error
0.342684
mean_absolute_error
0.369507
mean_absolute_error
0.319709
mean_absolute_error
0.35463
mean_absolute_error
0.366767
mean_absolute_error
0.334358
mean_absolute_error
0.356894
mean_absolute_error
0.368367
mean_absolute_error
0.346786
mean_absolute_error
0.313172
mean_absolute_error
0.361743
mean_absolute_error
0.396896
mean_absolute_error
0.33213
mean_absolute_error
0.359243
mean_absolute_error
0.340486
mean_absolute_error
0.431384
mean_absolute_error
0.319122
mean_absolute_error
0.357305
mean_absolute_error
0.376551
mean_absolute_error
0.399117
mean_absolute_error
0.312417
mean_absolute_error
0.32834
mean_absolute_error
0.378447
mean_absolute_error
0.38358
mean_absolute_error
0.356535
mean_absolute_error
0.323305
mean_absolute_error
0.374482
mean_absolute_error
0.323455
mean_absolute_error
0.365613
mean_absolute_error
0.344246
mean_absolute_error
0.340126
mean_absolute_error
0.336295
mean_absolute_error
0.340029
mean_absolute_error
0.377143
mean_absolute_error
0.341681
mean_absolute_error
0.340436
mean_absolute_error
0.33054
mean_absolute_error
0.372289
mean_absolute_error
0.354363
mean_absolute_error
0.337575
mean_absolute_error
0.38485
mean_absolute_error
0.35144
mean_absolute_error
0.332412
mean_absolute_error
0.382156
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.499972
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.499943
mean_prior_absolute_error
0.499943
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
103 [51,52]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [51,51]
number_of_instances
102 [51,51]
number_of_instances
102 [50,52]
number_of_instances
102 [50,52]
precision
0.797255 [0.853659,0.741935]
precision
0.679619 [0.68,0.679245]
precision
0.696157 [0.731707,0.66129]
precision
0.732652 [0.789474,0.676923]
precision
0.738822 [0.722222,0.755102]
precision
0.782193 [0.741379,0.822222]
precision
0.684727 [0.714286,0.655738]
precision
0.782802 [0.714286,0.85]
precision
0.751261 [0.719298,0.782609]
precision
0.663657 [0.637931,0.688889]
precision
0.80636 [0.792453,0.82]
precision
0.786408 [0.784314,0.788462]
precision
0.776845 [0.769231,0.784314]
precision
0.582477 [0.58,0.584906]
precision
0.758021 [0.770833,0.745455]
precision
0.691058 [0.736842,0.646154]
precision
0.728155 [0.72549,0.730769]
precision
0.747852 [0.755102,0.740741]
precision
0.736596 [0.780488,0.693548]
precision
0.805825 [0.803922,0.807692]
precision
0.738526 [0.75,0.727273]
precision
0.779539 [0.75,0.808511]
precision
0.689489 [0.693878,0.685185]
precision
0.845239 [0.830189,0.86]
precision
0.728602 [0.716981,0.74]
precision
0.67974 [0.673077,0.686275]
precision
0.728155 [0.72549,0.730769]
precision
0.768436 [0.787234,0.75]
precision
0.724858 [0.761905,0.688525]
precision
0.770053 [0.709677,0.829268]
precision
0.728155 [0.72549,0.730769]
precision
0.621987 [0.611111,0.632653]
precision
0.73099 [0.755556,0.706897]
precision
0.79619 [0.8,0.792453]
precision
0.795043 [0.868421,0.723077]
precision
0.718476 [0.72,0.716981]
precision
0.764989 [0.809524,0.721311]
precision
0.716659 [0.777778,0.656716]
precision
0.753323 [0.790698,0.716667]
precision
0.864679 [0.849057,0.88]
precision
0.775463 [0.759259,0.791667]
precision
0.743867 [0.810811,0.676923]
precision
0.735385 [0.730769,0.74]
precision
0.725626 [0.729167,0.722222]
precision
0.768953 [0.732143,0.804348]
precision
0.777174 [0.804348,0.75]
precision
0.770682 [0.809524,0.733333]
precision
0.697397 [0.711111,0.684211]
precision
0.757376 [0.782609,0.732143]
precision
0.755787 [0.770833,0.740741]
precision
0.784752 [0.773585,0.795918]
precision
0.788304 [0.822222,0.754386]
precision
0.71778 [0.696429,0.73913]
precision
0.716435 [0.729167,0.703704]
precision
0.731179 [0.694915,0.767442]
precision
0.743867 [0.810811,0.676923]
precision
0.783333 [0.733333,0.833333]
precision
0.705645 [0.75,0.66129]
precision
0.791486 [0.745763,0.837209]
precision
0.751645 [0.815789,0.6875]
precision
0.716435 [0.729167,0.703704]
precision
0.757376 [0.782609,0.732143]
precision
0.791486 [0.837209,0.745763]
precision
0.730674 [0.789474,0.671875]
precision
0.742857 [0.785714,0.7]
precision
0.849896 [0.945946,0.753846]
precision
0.722619 [0.683333,0.761905]
precision
0.616632 [0.648649,0.584615]
precision
0.768421 [0.8,0.736842]
precision
0.688889 [0.711111,0.666667]
precision
0.745476 [0.755102,0.735849]
precision
0.637838 [0.675676,0.6]
precision
0.808187 [0.77193,0.844444]
precision
0.743867 [0.810811,0.676923]
precision
0.722661 [0.783784,0.661538]
precision
0.697981 [0.678571,0.717391]
precision
0.794231 [0.8,0.788462]
precision
0.787903 [0.85,0.725806]
precision
0.696154 [0.7,0.692308]
precision
0.679859 [0.704545,0.655172]
precision
0.706199 [0.714286,0.698113]
precision
0.819749 [0.863636,0.775862]
precision
0.696759 [0.685185,0.708333]
precision
0.834491 [0.814815,0.854167]
precision
0.649123 [0.631579,0.666667]
precision
0.755787 [0.770833,0.740741]
precision
0.799765 [0.840909,0.758621]
precision
0.775463 [0.759259,0.791667]
precision
0.71778 [0.696429,0.73913]
precision
0.687427 [0.672727,0.702128]
precision
0.732006 [0.689655,0.772727]
precision
0.80454 [0.788462,0.82]
precision
0.77919 [0.813953,0.745763]
precision
0.737578 [0.714286,0.76087]
precision
0.742857 [0.785714,0.7]
precision
0.730345 [0.761905,0.7]
precision
0.697192 [0.74359,0.650794]
precision
0.751281 [0.711864,0.790698]
precision
0.792388 [0.882353,0.705882]
precision
0.668234 [0.681818,0.655172]
predictive_accuracy
0.786408
predictive_accuracy
0.679612
predictive_accuracy
0.68932
predictive_accuracy
0.718447
predictive_accuracy
0.737864
predictive_accuracy
0.776699
predictive_accuracy
0.679612
predictive_accuracy
0.76699
predictive_accuracy
0.747573
predictive_accuracy
0.660194
predictive_accuracy
0.805825
predictive_accuracy
0.786408
predictive_accuracy
0.776699
predictive_accuracy
0.582524
predictive_accuracy
0.757282
predictive_accuracy
0.679612
predictive_accuracy
0.728155
predictive_accuracy
0.747573
predictive_accuracy
0.728155
predictive_accuracy
0.805825
predictive_accuracy
0.737864
predictive_accuracy
0.776699
predictive_accuracy
0.68932
predictive_accuracy
0.84466
predictive_accuracy
0.728155
predictive_accuracy
0.679612
predictive_accuracy
0.728155
predictive_accuracy
0.76699
predictive_accuracy
0.718447
predictive_accuracy
0.757282
predictive_accuracy
0.728155
predictive_accuracy
0.621359
predictive_accuracy
0.728155
predictive_accuracy
0.796117
predictive_accuracy
0.776699
predictive_accuracy
0.718447
predictive_accuracy
0.757282
predictive_accuracy
0.699029
predictive_accuracy
0.747573
predictive_accuracy
0.864078
predictive_accuracy
0.77451
predictive_accuracy
0.72549
predictive_accuracy
0.735294
predictive_accuracy
0.72549
predictive_accuracy
0.764706
predictive_accuracy
0.77451
predictive_accuracy
0.764706
predictive_accuracy
0.696078
predictive_accuracy
0.754902
predictive_accuracy
0.754902
predictive_accuracy
0.784314
predictive_accuracy
0.784314
predictive_accuracy
0.715686
predictive_accuracy
0.715686
predictive_accuracy
0.72549
predictive_accuracy
0.72549
predictive_accuracy
0.77451
predictive_accuracy
0.696078
predictive_accuracy
0.784314
predictive_accuracy
0.735294
predictive_accuracy
0.715686
predictive_accuracy
0.754902
predictive_accuracy
0.784314
predictive_accuracy
0.715686
predictive_accuracy
0.735294
predictive_accuracy
0.823529
predictive_accuracy
0.715686
predictive_accuracy
0.607843
predictive_accuracy
0.764706
predictive_accuracy
0.686275
predictive_accuracy
0.745098
predictive_accuracy
0.627451
predictive_accuracy
0.803922
predictive_accuracy
0.72549
predictive_accuracy
0.705882
predictive_accuracy
0.696078
predictive_accuracy
0.794118
predictive_accuracy
0.77451
predictive_accuracy
0.696078
predictive_accuracy
0.676471
predictive_accuracy
0.705882
predictive_accuracy
0.813725
predictive_accuracy
0.696078
predictive_accuracy
0.833333
predictive_accuracy
0.647059
predictive_accuracy
0.754902
predictive_accuracy
0.794118
predictive_accuracy
0.77451
predictive_accuracy
0.715686
predictive_accuracy
0.686275
predictive_accuracy
0.72549
predictive_accuracy
0.803922
predictive_accuracy
0.77451
predictive_accuracy
0.735294
predictive_accuracy
0.735294
predictive_accuracy
0.72549
predictive_accuracy
0.686275
predictive_accuracy
0.745098
predictive_accuracy
0.764706
predictive_accuracy
0.666667
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
prior_entropy
0.999975
recall
0.786408 [0.686275,0.884615]
recall
0.679612 [0.666667,0.692308]
recall
0.68932 [0.588235,0.788462]
recall
0.718447 [0.588235,0.846154]
recall
0.737864 [0.764706,0.711538]
recall
0.776699 [0.843137,0.711538]
recall
0.679612 [0.588235,0.769231]
recall
0.76699 [0.882353,0.653846]
recall
0.747573 [0.803922,0.692308]
recall
0.660194 [0.72549,0.596154]
recall
0.805825 [0.823529,0.788462]
recall
0.786408 [0.784314,0.788462]
recall
0.776699 [0.784314,0.769231]
recall
0.582524 [0.568627,0.596154]
recall
0.757282 [0.72549,0.788462]
recall
0.679612 [0.54902,0.807692]
recall
0.728155 [0.72549,0.730769]
recall
0.747573 [0.72549,0.769231]
recall
0.728155 [0.627451,0.826923]
recall
0.805825 [0.803922,0.807692]
recall
0.737864 [0.705882,0.769231]
recall
0.776699 [0.823529,0.730769]
recall
0.68932 [0.666667,0.711538]
recall
0.84466 [0.862745,0.826923]
recall
0.728155 [0.745098,0.711538]
recall
0.679612 [0.686275,0.673077]
recall
0.728155 [0.72549,0.730769]
recall
0.76699 [0.72549,0.807692]
recall
0.718447 [0.627451,0.807692]
recall
0.757282 [0.862745,0.653846]
recall
0.728155 [0.72549,0.730769]
recall
0.621359 [0.647059,0.596154]
recall
0.728155 [0.666667,0.788462]
recall
0.796117 [0.784314,0.807692]
recall
0.776699 [0.647059,0.903846]
recall
0.718447 [0.705882,0.730769]
recall
0.757282 [0.666667,0.846154]
recall
0.699029 [0.54902,0.846154]
recall
0.747573 [0.666667,0.826923]
recall
0.864078 [0.882353,0.846154]
recall
0.77451 [0.803922,0.745098]
recall
0.72549 [0.588235,0.862745]
recall
0.735294 [0.745098,0.72549]
recall
0.72549 [0.7,0.75]
recall
0.764706 [0.82,0.711538]
recall
0.77451 [0.72549,0.823529]
recall
0.764706 [0.68,0.846154]
recall
0.696078 [0.64,0.75]
recall
0.754902 [0.705882,0.803922]
recall
0.754902 [0.72549,0.784314]
recall
0.784314 [0.803922,0.764706]
recall
0.784314 [0.72549,0.843137]
recall
0.715686 [0.764706,0.666667]
recall
0.715686 [0.686275,0.745098]
recall
0.72549 [0.803922,0.647059]
recall
0.72549 [0.588235,0.862745]
recall
0.77451 [0.862745,0.686275]
recall
0.696078 [0.588235,0.803922]
recall
0.784314 [0.862745,0.705882]
recall
0.735294 [0.607843,0.862745]
recall
0.715686 [0.686275,0.745098]
recall
0.754902 [0.705882,0.803922]
recall
0.784314 [0.705882,0.862745]
recall
0.715686 [0.588235,0.843137]
recall
0.735294 [0.647059,0.823529]
recall
0.823529 [0.686275,0.960784]
recall
0.715686 [0.803922,0.627451]
recall
0.607843 [0.470588,0.745098]
recall
0.764706 [0.705882,0.823529]
recall
0.686275 [0.627451,0.745098]
recall
0.745098 [0.72549,0.764706]
recall
0.627451 [0.490196,0.764706]
recall
0.803922 [0.862745,0.745098]
recall
0.72549 [0.588235,0.862745]
recall
0.705882 [0.568627,0.843137]
recall
0.696078 [0.745098,0.647059]
recall
0.794118 [0.784314,0.803922]
recall
0.77451 [0.666667,0.882353]
recall
0.696078 [0.686275,0.705882]
recall
0.676471 [0.607843,0.745098]
recall
0.705882 [0.686275,0.72549]
recall
0.813725 [0.745098,0.882353]
recall
0.696078 [0.72549,0.666667]
recall
0.833333 [0.862745,0.803922]
recall
0.647059 [0.705882,0.588235]
recall
0.754902 [0.72549,0.784314]
recall
0.794118 [0.72549,0.862745]
recall
0.77451 [0.803922,0.745098]
recall
0.715686 [0.764706,0.666667]
recall
0.686275 [0.72549,0.647059]
recall
0.72549 [0.8,0.653846]
recall
0.803922 [0.82,0.788462]
recall
0.77451 [0.7,0.846154]
recall
0.735294 [0.784314,0.686275]
recall
0.735294 [0.647059,0.823529]
recall
0.72549 [0.64,0.807692]
recall
0.686275 [0.568627,0.803922]
recall
0.745098 [0.823529,0.666667]
recall
0.764706 [0.6,0.923077]
recall
0.666667 [0.6,0.730769]
relative_absolute_error
0.69613
relative_absolute_error
0.732882
relative_absolute_error
0.763063
relative_absolute_error
0.67755
relative_absolute_error
0.676645
relative_absolute_error
0.667027
relative_absolute_error
0.775825
relative_absolute_error
0.668527
relative_absolute_error
0.697812
relative_absolute_error
0.792792
relative_absolute_error
0.672299
relative_absolute_error
0.68859
relative_absolute_error
0.667182
relative_absolute_error
0.837249
relative_absolute_error
0.708951
relative_absolute_error
0.728042
relative_absolute_error
0.703489
relative_absolute_error
0.699235
relative_absolute_error
0.722457
relative_absolute_error
0.606156
relative_absolute_error
0.684753
relative_absolute_error
0.65119
relative_absolute_error
0.690464
relative_absolute_error
0.619413
relative_absolute_error
0.735265
relative_absolute_error
0.765094
relative_absolute_error
0.693047
relative_absolute_error
0.659741
relative_absolute_error
0.76698
relative_absolute_error
0.652425
relative_absolute_error
0.694619
relative_absolute_error
0.785993
relative_absolute_error
0.693213
relative_absolute_error
0.627866
relative_absolute_error
0.660633
relative_absolute_error
0.727307
relative_absolute_error
0.648911
relative_absolute_error
0.773171
relative_absolute_error
0.734986
relative_absolute_error
0.600972
relative_absolute_error
0.669884
relative_absolute_error
0.692242
relative_absolute_error
0.695062
relative_absolute_error
0.742157
relative_absolute_error
0.676424
relative_absolute_error
0.680757
relative_absolute_error
0.672417
relative_absolute_error
0.723617
relative_absolute_error
0.685905
relative_absolute_error
0.658931
relative_absolute_error
0.705013
relative_absolute_error
0.651571
relative_absolute_error
0.740839
relative_absolute_error
0.716928
relative_absolute_error
0.69386
relative_absolute_error
0.743021
relative_absolute_error
0.685369
relative_absolute_error
0.739015
relative_absolute_error
0.639418
relative_absolute_error
0.709259
relative_absolute_error
0.733533
relative_absolute_error
0.668717
relative_absolute_error
0.713787
relative_absolute_error
0.736734
relative_absolute_error
0.693572
relative_absolute_error
0.626344
relative_absolute_error
0.723487
relative_absolute_error
0.793792
relative_absolute_error
0.66426
relative_absolute_error
0.718485
relative_absolute_error
0.680972
relative_absolute_error
0.862767
relative_absolute_error
0.638245
relative_absolute_error
0.714609
relative_absolute_error
0.753102
relative_absolute_error
0.798234
relative_absolute_error
0.624834
relative_absolute_error
0.65668
relative_absolute_error
0.756894
relative_absolute_error
0.76716
relative_absolute_error
0.713069
relative_absolute_error
0.64661
relative_absolute_error
0.748964
relative_absolute_error
0.646911
relative_absolute_error
0.731226
relative_absolute_error
0.688491
relative_absolute_error
0.680252
relative_absolute_error
0.67259
relative_absolute_error
0.680058
relative_absolute_error
0.754286
relative_absolute_error
0.683441
relative_absolute_error
0.680949
relative_absolute_error
0.661157
relative_absolute_error
0.744578
relative_absolute_error
0.708726
relative_absolute_error
0.675226
relative_absolute_error
0.7697
relative_absolute_error
0.70288
relative_absolute_error
0.664901
relative_absolute_error
0.7644
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.49998
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.500009
root_mean_prior_squared_error
0.499951
root_mean_prior_squared_error
0.499951
root_mean_squared_error
0.403976
root_mean_squared_error
0.446697
root_mean_squared_error
0.449639
root_mean_squared_error
0.422093
root_mean_squared_error
0.417857
root_mean_squared_error
0.391127
root_mean_squared_error
0.464285
root_mean_squared_error
0.404267
root_mean_squared_error
0.426607
root_mean_squared_error
0.465435
root_mean_squared_error
0.406726
root_mean_squared_error
0.409508
root_mean_squared_error
0.394114
root_mean_squared_error
0.494922
root_mean_squared_error
0.425501
root_mean_squared_error
0.450621
root_mean_squared_error
0.419124
root_mean_squared_error
0.4202
root_mean_squared_error
0.422417
root_mean_squared_error
0.364497
root_mean_squared_error
0.412712
root_mean_squared_error
0.396734
root_mean_squared_error
0.437891
root_mean_squared_error
0.371182
root_mean_squared_error
0.435747
root_mean_squared_error
0.461101
root_mean_squared_error
0.410681
root_mean_squared_error
0.401661
root_mean_squared_error
0.4505
root_mean_squared_error
0.404102
root_mean_squared_error
0.432833
root_mean_squared_error
0.47836
root_mean_squared_error
0.42105
root_mean_squared_error
0.378476
root_mean_squared_error
0.395593
root_mean_squared_error
0.442725
root_mean_squared_error
0.40427
root_mean_squared_error
0.459789
root_mean_squared_error
0.43401
root_mean_squared_error
0.356656
root_mean_squared_error
0.406042
root_mean_squared_error
0.417444
root_mean_squared_error
0.416389
root_mean_squared_error
0.448842
root_mean_squared_error
0.407363
root_mean_squared_error
0.410246
root_mean_squared_error
0.416913
root_mean_squared_error
0.440195
root_mean_squared_error
0.410181
root_mean_squared_error
0.398996
root_mean_squared_error
0.431726
root_mean_squared_error
0.402847
root_mean_squared_error
0.453658
root_mean_squared_error
0.434586
root_mean_squared_error
0.425572
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