453335
2
Joaquin Vanschoren
4324
Supervised Classification
predictive_accuracy
1199
weka.ADTree(4)
2069
weka.classifiers.trees.ADTree -- -B 10 -E -3 -S 1
B
10
1199
E
-3
1199
S
1
1199
weka
weka_3.7.12
753
wisconsin
https://www.openml.org/data/download/53287/wisconsin.arff
-1
1590643
description
https://api.openml.org/data/download/1590643/weka_generated_run6383469670182734413.xml
-1
1590645
model_readable
https://api.openml.org/data/download/1590645/WekaModel_weka.classifiers.trees.ADTree6177443218187875587.model
-1
1590644
model_serialized
https://api.openml.org/data/download/1590644/WekaSerialized_weka.classifiers.trees.ADTree4417931887857215793.model
-1
1590646
predictions
https://api.openml.org/data/download/1590646/weka_generated_predictions1219348757538481015.arff
area_under_roc_curve
0.58435 [0.58435,0.58435]
average_cost
0
f_measure
0.559572 [0.58475,0.530478]
kappa
0.115332
kb_relative_information_score
139.893774
mean_absolute_error
0.463891
mean_prior_absolute_error
0.497423
number_of_instances
1940 [1040,900]
os_information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
precision
0.559997 [0.590775,0.52443]
predictive_accuracy
0.559278
prior_entropy
0.996317
recall
0.559278 [0.578846,0.536667]
relative_absolute_error
0.932589
root_mean_prior_squared_error
0.498696
root_mean_squared_error
0.515398
root_relative_squared_error
1.033491
scimark_benchmark
908.95685 [482.3674420247276, 1027.7093376, 337.4424419825379, 645.6748859472447, 2051.5901448167365]
total_cost
0
usercpu_time_millis
30
usercpu_time_millis_testing
0
usercpu_time_millis_training
30
area_under_roc_curve
0.535354 [0.535354,0.535354]
area_under_roc_curve
0.308081 [0.308081,0.308081]
area_under_roc_curve
0.424242 [0.424242,0.424242]
area_under_roc_curve
0.545455 [0.545455,0.545455]
area_under_roc_curve
0.606061 [0.606061,0.606061]
area_under_roc_curve
0.787879 [0.787879,0.787879]
area_under_roc_curve
0.464646 [0.464646,0.464646]
area_under_roc_curve
0.419192 [0.419192,0.419192]
area_under_roc_curve
0.575758 [0.575758,0.575758]
area_under_roc_curve
0.565657 [0.565657,0.565657]
area_under_roc_curve
0.606061 [0.606061,0.606061]
area_under_roc_curve
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area_under_roc_curve
0.489899 [0.489899,0.489899]
area_under_roc_curve
0.570707 [0.570707,0.570707]
area_under_roc_curve
0.777778 [0.777778,0.777778]
area_under_roc_curve
0.606061 [0.606061,0.606061]
area_under_roc_curve
0.494949 [0.494949,0.494949]
area_under_roc_curve
0.70202 [0.70202,0.70202]
area_under_roc_curve
0.752525 [0.752525,0.752525]
area_under_roc_curve
0.686869 [0.686869,0.686869]
area_under_roc_curve
0.580808 [0.580808,0.580808]
area_under_roc_curve
0.686869 [0.686869,0.686869]
area_under_roc_curve
0.828283 [0.828283,0.828283]
area_under_roc_curve
0.570707 [0.570707,0.570707]
area_under_roc_curve
0.469697 [0.469697,0.469697]
area_under_roc_curve
0.489899 [0.489899,0.489899]
area_under_roc_curve
0.626263 [0.626263,0.626263]
area_under_roc_curve
0.550505 [0.550505,0.550505]
area_under_roc_curve
0.550505 [0.550505,0.550505]
area_under_roc_curve
0.888889 [0.888889,0.888889]
area_under_roc_curve
0.464646 [0.464646,0.464646]
area_under_roc_curve
0.813131 [0.813131,0.813131]
area_under_roc_curve
0.505051 [0.505051,0.505051]
area_under_roc_curve
0.656566 [0.656566,0.656566]
area_under_roc_curve
0.691919 [0.691919,0.691919]
area_under_roc_curve
0.585859 [0.585859,0.585859]
area_under_roc_curve
0.838384 [0.838384,0.838384]
area_under_roc_curve
0.575758 [0.575758,0.575758]
area_under_roc_curve
0.373737 [0.373737,0.373737]
area_under_roc_curve
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area_under_roc_curve
0.688889 [0.688889,0.688889]
area_under_roc_curve
0.622222 [0.622222,0.622222]
area_under_roc_curve
0.538889 [0.538889,0.538889]
area_under_roc_curve
0.872222 [0.872222,0.872222]
area_under_roc_curve
0.433333 [0.433333,0.433333]
area_under_roc_curve
0.555556 [0.555556,0.555556]
area_under_roc_curve
0.505556 [0.505556,0.505556]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.322222 [0.322222,0.322222]
area_under_roc_curve
0.677778 [0.677778,0.677778]
area_under_roc_curve
0.427778 [0.427778,0.427778]
area_under_roc_curve
0.555556 [0.555556,0.555556]
area_under_roc_curve
0.788889 [0.788889,0.788889]
area_under_roc_curve
0.705556 [0.705556,0.705556]
area_under_roc_curve
0.616667 [0.616667,0.616667]
area_under_roc_curve
0.477778 [0.477778,0.477778]
area_under_roc_curve
0.488889 [0.488889,0.488889]
area_under_roc_curve
0.566667 [0.566667,0.566667]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.472222 [0.472222,0.472222]
area_under_roc_curve
0.938889 [0.938889,0.938889]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.677778 [0.677778,0.677778]
area_under_roc_curve
0.811111 [0.811111,0.811111]
area_under_roc_curve
0.627778 [0.627778,0.627778]
area_under_roc_curve
0.411111 [0.411111,0.411111]
area_under_roc_curve
0.561111 [0.561111,0.561111]
area_under_roc_curve
0.544444 [0.544444,0.544444]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.594444 [0.594444,0.594444]
area_under_roc_curve
0.727778 [0.727778,0.727778]
area_under_roc_curve
0.527778 [0.527778,0.527778]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.611111 [0.611111,0.611111]
area_under_roc_curve
0.761111 [0.761111,0.761111]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.577778 [0.577778,0.577778]
area_under_roc_curve
0.605556 [0.605556,0.605556]
area_under_roc_curve
0.638889 [0.638889,0.638889]
area_under_roc_curve
0.716667 [0.716667,0.716667]
area_under_roc_curve
0.427778 [0.427778,0.427778]
area_under_roc_curve
0.611111 [0.611111,0.611111]
area_under_roc_curve
0.588889 [0.588889,0.588889]
area_under_roc_curve
0.466667 [0.466667,0.466667]
area_under_roc_curve
0.716667 [0.716667,0.716667]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.544444 [0.544444,0.544444]
area_under_roc_curve
0.544444 [0.544444,0.544444]
area_under_roc_curve
0.711111 [0.711111,0.711111]
area_under_roc_curve
0.372222 [0.372222,0.372222]
area_under_roc_curve
0.511111 [0.511111,0.511111]
area_under_roc_curve
0.466667 [0.466667,0.466667]
area_under_roc_curve
0.716667 [0.716667,0.716667]
area_under_roc_curve
0.322222 [0.322222,0.322222]
area_under_roc_curve
0.377778 [0.377778,0.377778]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.738889 [0.738889,0.738889]
area_under_roc_curve
0.644444 [0.644444,0.644444]
area_under_roc_curve
0.505556 [0.505556,0.505556]
area_under_roc_curve
0.472222 [0.472222,0.472222]
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
average_cost
0
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0
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0
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0
average_cost
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average_cost
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0
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0
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average_cost
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average_cost
0
f_measure
0.551128 [0.571429,0.526316]
f_measure
0.345113 [0.315789,0.380952]
f_measure
0.44578 [0.521739,0.352941]
f_measure
0.591667 [0.666667,0.5]
f_measure
0.6 [0.636364,0.555556]
f_measure
0.750627 [0.761905,0.736842]
f_measure
0.551128 [0.571429,0.526316]
f_measure
0.451378 [0.47619,0.421053]
f_measure
0.489899 [0.444444,0.545455]
f_measure
0.489899 [0.444444,0.545455]
f_measure
0.467033 [0.615385,0.285714]
f_measure
0.551128 [0.571429,0.526316]
f_measure
0.398667 [0.266667,0.56]
f_measure
0.551128 [0.571429,0.526316]
f_measure
0.74 [0.8,0.666667]
f_measure
0.636 [0.72,0.533333]
f_measure
0.44578 [0.521739,0.352941]
f_measure
0.591919 [0.555556,0.636364]
f_measure
0.750627 [0.761905,0.736842]
f_measure
0.591667 [0.666667,0.5]
f_measure
0.5 [0.545455,0.444444]
f_measure
0.636 [0.72,0.533333]
f_measure
0.8 [0.818182,0.777778]
f_measure
0.551128 [0.571429,0.526316]
f_measure
0.5 [0.5,0.5]
f_measure
0.5 [0.545455,0.444444]
f_measure
0.467033 [0.615385,0.285714]
f_measure
0.505128 [0.666667,0.307692]
f_measure
0.5 [0.5,0.5]
f_measure
0.725071 [0.814815,0.615385]
f_measure
0.451378 [0.47619,0.421053]
f_measure
0.750627 [0.761905,0.736842]
f_measure
0.5 [0.545455,0.444444]
f_measure
0.508 [0.4,0.64]
f_measure
0.636573 [0.588235,0.695652]
f_measure
0.650877 [0.666667,0.631579]
f_measure
0.750627 [0.761905,0.736842]
f_measure
0.546617 [0.526316,0.571429]
f_measure
0.4 [0.4,0.4]
f_measure
0.573626 [0.692308,0.428571]
f_measure
0.57177 [0.636364,0.5]
f_measure
0.50984 [0.608696,0.4]
f_measure
0.50984 [0.608696,0.4]
f_measure
0.597571 [0.72,0.461538]
f_measure
0.315789 [0.315789,0.315789]
f_measure
0.578947 [0.6,0.555556]
f_measure
0.578947 [0.6,0.555556]
f_measure
0.47076 [0.444444,0.5]
f_measure
0.442356 [0.583333,0.285714]
f_measure
0.576608 [0.555556,0.6]
f_measure
0.473684 [0.5,0.444444]
f_measure
0.631579 [0.631579,0.631579]
f_measure
0.735368 [0.761905,0.705882]
f_measure
0.629515 [0.666667,0.588235]
f_measure
0.526316 [0.526316,0.526316]
f_measure
0.564593 [0.5,0.636364]
f_measure
0.526316 [0.526316,0.526316]
f_measure
0.578947 [0.6,0.555556]
f_measure
0.47076 [0.444444,0.5]
f_measure
0.47076 [0.444444,0.5]
f_measure
0.841221 [0.857143,0.823529]
f_measure
0.442356 [0.583333,0.285714]
f_measure
0.597571 [0.72,0.461538]
f_measure
0.629515 [0.666667,0.588235]
f_measure
0.57177 [0.636364,0.5]
f_measure
0.330827 [0.5,0.142857]
f_measure
0.518355 [0.470588,0.571429]
f_measure
0.482591 [0.64,0.307692]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.631579 [0.631579,0.631579]
f_measure
0.631579 [0.631579,0.631579]
f_measure
0.526316 [0.526316,0.526316]
f_measure
0.673445 [0.625,0.727273]
f_measure
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f_measure
0.368421 [0.4,0.333333]
f_measure
0.523662 [0.571429,0.470588]
f_measure
0.417809 [0.47619,0.352941]
f_measure
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f_measure
0.678828 [0.727273,0.625]
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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kappa
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kappa
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kappa
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kappa
0.191919
kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.223301
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0.5
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0.175258
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0.270833
kappa
0.59596
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kappa
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kappa
0.042553
kappa
0.009901
kappa
0.468085
kappa
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kappa
0.5
kappa
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kappa
0.150943
kappa
0.326923
kappa
0.3
kappa
0.5
kappa
0.117647
kappa
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kappa
0.157895
kappa
0.146067
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0.033898
kappa
0.033898
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0.24
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kappa
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0.164835
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kappa
0.265193
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0.469274
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0.256983
kappa
0.055249
kappa
0.173913
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0.055249
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0.155556
kappa
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kappa
0.681564
kappa
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0.24
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0.256983
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0.146067
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0.065574
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0.022857
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0.155556
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0.248588
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0.366667
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0.044693
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0.265193
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0.164835
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0.273224
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0.380435
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0.065574
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0.359551
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0.033898
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kappa
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kappa
0.28877
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kappa
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kappa
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kappa
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kappa
0.164835
kappa
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kappa
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
1.118482
kb_relative_information_score
1.970456
kb_relative_information_score
4.988842
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
1.204964
kb_relative_information_score
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kb_relative_information_score
1.337026
kb_relative_information_score
1.288681
kb_relative_information_score
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kb_relative_information_score
0.904093
kb_relative_information_score
4.097382
kb_relative_information_score
2.20498
kb_relative_information_score
0.189992
kb_relative_information_score
2.931905
kb_relative_information_score
4.094771
kb_relative_information_score
3.858539
kb_relative_information_score
1.531391
kb_relative_information_score
1.830181
kb_relative_information_score
5.52945
kb_relative_information_score
1.879741
kb_relative_information_score
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kb_relative_information_score
0.359542
kb_relative_information_score
2.155412
kb_relative_information_score
0.758927
kb_relative_information_score
0.64668
kb_relative_information_score
4.904977
kb_relative_information_score
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kb_relative_information_score
5.273708
kb_relative_information_score
0.392935
kb_relative_information_score
1.434252
kb_relative_information_score
2.885753
kb_relative_information_score
1.390508
kb_relative_information_score
6.412118
kb_relative_information_score
1.074057
kb_relative_information_score
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kb_relative_information_score
1.164038
kb_relative_information_score
3.592174
kb_relative_information_score
1.943271
kb_relative_information_score
0.809629
kb_relative_information_score
4.680437
kb_relative_information_score
-0.548447
kb_relative_information_score
1.143565
kb_relative_information_score
0.391941
kb_relative_information_score
1.165124
kb_relative_information_score
-1.697007
kb_relative_information_score
2.526873
kb_relative_information_score
-1.012773
kb_relative_information_score
0.821683
kb_relative_information_score
4.548312
kb_relative_information_score
4.165815
kb_relative_information_score
4.603426
kb_relative_information_score
-0.660208
kb_relative_information_score
-0.326653
kb_relative_information_score
1.014996
kb_relative_information_score
-0.232997
kb_relative_information_score
-0.546231
kb_relative_information_score
8.512074
kb_relative_information_score
2.231842
kb_relative_information_score
3.602961
kb_relative_information_score
4.039058
kb_relative_information_score
1.491416
kb_relative_information_score
-1.396396
kb_relative_information_score
0.928565
kb_relative_information_score
0.858241
kb_relative_information_score
-0.853061
kb_relative_information_score
2.028361
kb_relative_information_score
3.234978
kb_relative_information_score
0.911399
kb_relative_information_score
0.857662
kb_relative_information_score
2.343863
kb_relative_information_score
2.954604
kb_relative_information_score
1.964859
kb_relative_information_score
0.717755
kb_relative_information_score
1.38973
kb_relative_information_score
2.261994
kb_relative_information_score
4.222574
kb_relative_information_score
-1.165744
kb_relative_information_score
2.102436
kb_relative_information_score
1.12851
kb_relative_information_score
-0.88821
kb_relative_information_score
2.616806
kb_relative_information_score
1.982198
kb_relative_information_score
1.617488
kb_relative_information_score
1.736471
kb_relative_information_score
1.926986
kb_relative_information_score
-1.26734
kb_relative_information_score
0.237052
kb_relative_information_score
-0.621593
kb_relative_information_score
3.051448
kb_relative_information_score
-2.799078
kb_relative_information_score
-1.682386
kb_relative_information_score
0.829693
kb_relative_information_score
4.393498
kb_relative_information_score
2.373604
kb_relative_information_score
-0.883474
kb_relative_information_score
-0.714437
mean_absolute_error
0.483305
mean_absolute_error
0.590019
mean_absolute_error
0.516399
mean_absolute_error
0.471449
mean_absolute_error
0.45009
mean_absolute_error
0.386146
mean_absolute_error
0.51667
mean_absolute_error
0.561527
mean_absolute_error
0.461833
mean_absolute_error
0.498224
mean_absolute_error
0.462438
mean_absolute_error
0.466329
mean_absolute_error
0.518099
mean_absolute_error
0.476516
mean_absolute_error
0.409274
mean_absolute_error
0.447654
mean_absolute_error
0.488972
mean_absolute_error
0.426461
mean_absolute_error
0.408853
mean_absolute_error
0.404329
mean_absolute_error
0.456963
mean_absolute_error
0.459388
mean_absolute_error
0.378465
mean_absolute_error
0.449128
mean_absolute_error
0.511214
mean_absolute_error
0.484032
mean_absolute_error
0.447252
mean_absolute_error
0.478039
mean_absolute_error
0.476695
mean_absolute_error
0.387786
mean_absolute_error
0.504205
mean_absolute_error
0.382375
mean_absolute_error
0.482147
mean_absolute_error
0.463234
mean_absolute_error
0.430114
mean_absolute_error
0.468266
mean_absolute_error
0.348615
mean_absolute_error
0.470184
mean_absolute_error
0.536091
mean_absolute_error
0.470037
mean_absolute_error
0.411348
mean_absolute_error
0.450054
mean_absolute_error
0.477089
mean_absolute_error
0.383871
mean_absolute_error
0.506566
mean_absolute_error
0.472065
mean_absolute_error
0.490623
mean_absolute_error
0.466117
mean_absolute_error
0.539307
mean_absolute_error
0.438171
mean_absolute_error
0.526082
mean_absolute_error
0.482448
mean_absolute_error
0.390466
mean_absolute_error
0.395242
mean_absolute_error
0.382395
mean_absolute_error
0.512638
mean_absolute_error
0.508766
mean_absolute_error
0.472832
mean_absolute_error
0.503796
mean_absolute_error
0.510198
mean_absolute_error
0.295592
mean_absolute_error
0.438722
mean_absolute_error
0.410443
mean_absolute_error
0.401073
mean_absolute_error
0.460355
mean_absolute_error
0.526202
mean_absolute_error
0.470931
mean_absolute_error
0.477208
mean_absolute_error
0.522371
mean_absolute_error
0.449671
mean_absolute_error
0.425637
mean_absolute_error
0.476683
mean_absolute_error
0.483491
mean_absolute_error
0.438819
mean_absolute_error
0.431694
mean_absolute_error
0.451095
mean_absolute_error
0.481555
mean_absolute_error
0.459751
mean_absolute_error
0.441185
mean_absolute_error
0.396071
mean_absolute_error
0.523319
mean_absolute_error
0.442977
mean_absolute_error
0.46349
mean_absolute_error
0.522405
mean_absolute_error
0.43514
mean_absolute_error
0.45037
mean_absolute_error
0.45178
mean_absolute_error
0.45198
mean_absolute_error
0.461739
mean_absolute_error
0.524705
mean_absolute_error
0.488949
mean_absolute_error
0.513139
mean_absolute_error
0.425062
mean_absolute_error
0.560022
mean_absolute_error
0.53753
mean_absolute_error
0.485902
mean_absolute_error
0.393944
mean_absolute_error
0.439248
mean_absolute_error
0.520567
mean_absolute_error
0.510788
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.496429
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
mean_prior_absolute_error
0.49812
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
20 [11,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
number_of_instances
19 [10,9]
precision
0.555 [0.6,0.5]
precision
0.35625 [0.375,0.333333]
precision
0.44375 [0.5,0.375]
precision
0.595604 [0.615385,0.571429]
precision
0.6 [0.636364,0.555556]
precision
0.755 [0.8,0.7]
precision
0.555 [0.6,0.5]
precision
0.455 [0.5,0.4]
precision
0.521978 [0.571429,0.461538]
precision
0.521978 [0.571429,0.461538]
precision
0.473333 [0.533333,0.4]
precision
0.555 [0.6,0.5]
precision
0.471875 [0.5,0.4375]
precision
0.555 [0.6,0.5]
precision
0.767857 [0.714286,0.833333]
precision
0.653571 [0.642857,0.666667]
precision
0.44375 [0.5,0.375]
precision
0.635165 [0.714286,0.538462]
precision
0.755 [0.8,0.7]
precision
0.595604 [0.615385,0.571429]
precision
0.5 [0.545455,0.444444]
precision
0.653571 [0.642857,0.666667]
precision
0.8 [0.818182,0.777778]
precision
0.555 [0.6,0.5]
precision
0.510101 [0.555556,0.454545]
precision
0.5 [0.545455,0.444444]
precision
0.473333 [0.533333,0.4]
precision
0.534375 [0.5625,0.5]
precision
0.510101 [0.555556,0.454545]
precision
0.828125 [0.6875,1]
precision
0.455 [0.5,0.4]
precision
0.755 [0.8,0.7]
precision
0.5 [0.545455,0.444444]
precision
0.6375 [0.75,0.5]
precision
0.715476 [0.833333,0.571429]
precision
0.655 [0.7,0.6]
precision
0.755 [0.8,0.7]
precision
0.56875 [0.625,0.5]
precision
0.408081 [0.444444,0.363636]
precision
0.6 [0.6,0.6]
precision
0.577694 [0.583333,0.571429]
precision
0.520243 [0.538462,0.5]
precision
0.520243 [0.538462,0.5]
precision
0.671053 [0.6,0.75]
precision
0.317544 [0.333333,0.3]
precision
0.578947 [0.6,0.555556]
precision
0.578947 [0.6,0.555556]
precision
0.478469 [0.5,0.454545]
precision
0.452632 [0.5,0.4]
precision
0.587321 [0.625,0.545455]
precision
0.473684 [0.5,0.444444]
precision
0.635088 [0.666667,0.6]
precision
0.738038 [0.727273,0.75]
precision
0.630981 [0.636364,0.625]
precision
0.52924 [0.555556,0.5]
precision
0.605938 [0.666667,0.538462]
precision
0.52924 [0.555556,0.5]
precision
0.578947 [0.6,0.555556]
precision
0.478469 [0.5,0.454545]
precision
0.478469 [0.5,0.454545]
precision
0.845096 [0.818182,0.875]
precision
0.452632 [0.5,0.4]
precision
0.671053 [0.6,0.75]
precision
0.630981 [0.636364,0.625]
precision
0.577694 [0.583333,0.571429]
precision
0.320301 [0.428571,0.2]
precision
0.537594 [0.571429,0.5]
precision
0.517544 [0.533333,0.5]
precision
0.578947 [0.6,0.555556]
precision
0.639676 [0.615385,0.666667]
precision
0.684211 [0.7,0.666667]
precision
0.523923 [0.545455,0.5]
precision
0.635088 [0.666667,0.6]
precision
0.587321 [0.625,0.545455]
precision
0.652256 [0.714286,0.583333]
precision
0.635088 [0.666667,0.6]
precision
0.635088 [0.666667,0.6]
precision
0.52924 [0.555556,0.5]
precision
0.730094 [0.833333,0.615385]
precision
0.635088 [0.666667,0.6]
precision
0.368421 [0.4,0.333333]
precision
0.523923 [0.545455,0.5]
precision
0.416866 [0.454545,0.375]
precision
0.537594 [0.571429,0.5]
precision
0.689223 [0.666667,0.714286]
precision
0.520243 [0.538462,0.5]
precision
0.484211 [0.5,0.466667]
precision
0.523923 [0.545455,0.5]
precision
0.684211 [0.7,0.666667]
precision
0.369617 [0.375,0.363636]
precision
0.52924 [0.555556,0.5]
precision
0.423392 [0.444444,0.4]
precision
0.792763 [1,0.5625]
precision
0.281377 [0.384615,0.166667]
precision
0.473684 [0.5,0.444444]
precision
0.639676 [0.615385,0.666667]
precision
0.696172 [0.75,0.636364]
precision
0.587321 [0.625,0.545455]
precision
0.481781 [0.5,0.461538]
precision
0.423392 [0.444444,0.4]
predictive_accuracy
0.55
predictive_accuracy
0.35
predictive_accuracy
0.45
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.75
predictive_accuracy
0.55
predictive_accuracy
0.45
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.55
predictive_accuracy
0.45
predictive_accuracy
0.55
predictive_accuracy
0.75
predictive_accuracy
0.65
predictive_accuracy
0.45
predictive_accuracy
0.6
predictive_accuracy
0.75
predictive_accuracy
0.6
predictive_accuracy
0.5
predictive_accuracy
0.65
predictive_accuracy
0.8
predictive_accuracy
0.55
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.55
predictive_accuracy
0.5
predictive_accuracy
0.75
predictive_accuracy
0.45
predictive_accuracy
0.75
predictive_accuracy
0.5
predictive_accuracy
0.55
predictive_accuracy
0.65
predictive_accuracy
0.65
predictive_accuracy
0.75
predictive_accuracy
0.55
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.578947
predictive_accuracy
0.526316
predictive_accuracy
0.526316
predictive_accuracy
0.631579
predictive_accuracy
0.315789
predictive_accuracy
0.578947
predictive_accuracy
0.578947
predictive_accuracy
0.473684
predictive_accuracy
0.473684
predictive_accuracy
0.578947
predictive_accuracy
0.473684
predictive_accuracy
0.631579
predictive_accuracy
0.736842
predictive_accuracy
0.631579
predictive_accuracy
0.526316
predictive_accuracy
0.578947
predictive_accuracy
0.526316
predictive_accuracy
0.578947
predictive_accuracy
0.473684
predictive_accuracy
0.473684
predictive_accuracy
0.842105
predictive_accuracy
0.473684
predictive_accuracy
0.631579
predictive_accuracy
0.631579
predictive_accuracy
0.578947
predictive_accuracy
0.368421
predictive_accuracy
0.526316
predictive_accuracy
0.526316
predictive_accuracy
0.578947
predictive_accuracy
0.631579
predictive_accuracy
0.684211
predictive_accuracy
0.526316
predictive_accuracy
0.631579
predictive_accuracy
0.578947
predictive_accuracy
0.631579
predictive_accuracy
0.631579
predictive_accuracy
0.631579
predictive_accuracy
0.526316
predictive_accuracy
0.684211
predictive_accuracy
0.631579
predictive_accuracy
0.368421
predictive_accuracy
0.526316
predictive_accuracy
0.421053
predictive_accuracy
0.526316
predictive_accuracy
0.684211
predictive_accuracy
0.526316
predictive_accuracy
0.473684
predictive_accuracy
0.526316
predictive_accuracy
0.684211
predictive_accuracy
0.368421
predictive_accuracy
0.526316
predictive_accuracy
0.421053
predictive_accuracy
0.631579
predictive_accuracy
0.315789
predictive_accuracy
0.473684
predictive_accuracy
0.631579
predictive_accuracy
0.684211
predictive_accuracy
0.578947
predictive_accuracy
0.473684
predictive_accuracy
0.421053
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
prior_entropy
0.996317
recall
0.55 [0.545455,0.555556]
recall
0.35 [0.272727,0.444444]
recall
0.45 [0.545455,0.333333]
recall
0.6 [0.727273,0.444444]
recall
0.6 [0.636364,0.555556]
recall
0.75 [0.727273,0.777778]
recall
0.55 [0.545455,0.555556]
recall
0.45 [0.454545,0.444444]
recall
0.5 [0.363636,0.666667]
recall
0.5 [0.363636,0.666667]
recall
0.5 [0.727273,0.222222]
recall
0.55 [0.545455,0.555556]
recall
0.45 [0.181818,0.777778]
recall
0.55 [0.545455,0.555556]
recall
0.75 [0.909091,0.555556]
recall
0.65 [0.818182,0.444444]
recall
0.45 [0.545455,0.333333]
recall
0.6 [0.454545,0.777778]
recall
0.75 [0.727273,0.777778]
recall
0.6 [0.727273,0.444444]
recall
0.5 [0.545455,0.444444]
recall
0.65 [0.818182,0.444444]
recall
0.8 [0.818182,0.777778]
recall
0.55 [0.545455,0.555556]
recall
0.5 [0.454545,0.555556]
recall
0.5 [0.545455,0.444444]
recall
0.5 [0.727273,0.222222]
recall
0.55 [0.818182,0.222222]
recall
0.5 [0.454545,0.555556]
recall
0.75 [1,0.444444]
recall
0.45 [0.454545,0.444444]
recall
0.75 [0.727273,0.777778]
recall
0.5 [0.545455,0.444444]
recall
0.55 [0.272727,0.888889]
recall
0.65 [0.454545,0.888889]
recall
0.65 [0.636364,0.666667]
recall
0.75 [0.727273,0.777778]
recall
0.55 [0.454545,0.666667]
recall
0.4 [0.363636,0.444444]
recall
0.6 [0.818182,0.333333]
recall
0.578947 [0.7,0.444444]
recall
0.526316 [0.7,0.333333]
recall
0.526316 [0.7,0.333333]
recall
0.631579 [0.9,0.333333]
recall
0.315789 [0.3,0.333333]
recall
0.578947 [0.6,0.555556]
recall
0.578947 [0.6,0.555556]
recall
0.473684 [0.4,0.555556]
recall
0.473684 [0.7,0.222222]
recall
0.578947 [0.5,0.666667]
recall
0.473684 [0.5,0.444444]
recall
0.631579 [0.6,0.666667]
recall
0.736842 [0.8,0.666667]
recall
0.631579 [0.7,0.555556]
recall
0.526316 [0.5,0.555556]
recall
0.578947 [0.4,0.777778]
recall
0.526316 [0.5,0.555556]
recall
0.578947 [0.6,0.555556]
recall
0.473684 [0.4,0.555556]
recall
0.473684 [0.4,0.555556]
recall
0.842105 [0.9,0.777778]
recall
0.473684 [0.7,0.222222]
recall
0.631579 [0.9,0.333333]
recall
0.631579 [0.7,0.555556]
recall
0.578947 [0.7,0.444444]
recall
0.368421 [0.6,0.111111]
recall
0.526316 [0.4,0.666667]
recall
0.526316 [0.8,0.222222]
recall
0.578947 [0.6,0.555556]
recall
0.631579 [0.8,0.444444]
recall
0.684211 [0.7,0.666667]
recall
0.526316 [0.6,0.444444]
recall
0.631579 [0.6,0.666667]
recall
0.578947 [0.5,0.666667]
recall
0.631579 [0.5,0.777778]
recall
0.631579 [0.6,0.666667]
recall
0.631579 [0.6,0.666667]
recall
0.526316 [0.5,0.555556]
recall
0.684211 [0.5,0.888889]
recall
0.631579 [0.6,0.666667]
recall
0.368421 [0.4,0.333333]
recall
0.526316 [0.6,0.444444]
recall
0.421053 [0.5,0.333333]
recall
0.526316 [0.4,0.666667]
recall
0.684211 [0.8,0.555556]
recall
0.526316 [0.7,0.333333]
recall
0.473684 [0.2,0.777778]
recall
0.526316 [0.6,0.444444]
recall
0.684211 [0.7,0.666667]
recall
0.368421 [0.3,0.444444]
recall
0.526316 [0.5,0.555556]
recall
0.421053 [0.4,0.444444]
recall
0.631579 [0.3,1]
recall
0.315789 [0.5,0.111111]
recall
0.473684 [0.5,0.444444]
recall
0.631579 [0.8,0.444444]
recall
0.684211 [0.6,0.777778]
recall
0.578947 [0.5,0.666667]
recall
0.473684 [0.3,0.666667]
recall
0.421053 [0.4,0.444444]
relative_absolute_error
0.973564
relative_absolute_error
1.188528
relative_absolute_error
1.040227
relative_absolute_error
0.949681
relative_absolute_error
0.906656
relative_absolute_error
0.777848
relative_absolute_error
1.040774
relative_absolute_error
1.131133
relative_absolute_error
0.93031
relative_absolute_error
1.003616
relative_absolute_error
0.931529
relative_absolute_error
0.939367
relative_absolute_error
1.043653
relative_absolute_error
0.959889
relative_absolute_error
0.824438
relative_absolute_error
0.901749
relative_absolute_error
0.98498
relative_absolute_error
0.859058
relative_absolute_error
0.823589
relative_absolute_error
0.814476
relative_absolute_error
0.9205
relative_absolute_error
0.925386
relative_absolute_error
0.762375
relative_absolute_error
0.904718
relative_absolute_error
1.029783
relative_absolute_error
0.975028
relative_absolute_error
0.900939
relative_absolute_error
0.962957
relative_absolute_error
0.96025
relative_absolute_error
0.781153
relative_absolute_error
1.015665
relative_absolute_error
0.770252
relative_absolute_error
0.971231
relative_absolute_error
0.933134
relative_absolute_error
0.866417
relative_absolute_error
0.94327
relative_absolute_error
0.702247
relative_absolute_error
0.947133
relative_absolute_error
1.079896
relative_absolute_error
0.946836
relative_absolute_error
0.8258
relative_absolute_error
0.903505
relative_absolute_error
0.957778
relative_absolute_error
0.770638
relative_absolute_error
1.016955
relative_absolute_error
0.947693
relative_absolute_error
0.984949
relative_absolute_error
0.935751
relative_absolute_error
1.082685
relative_absolute_error
0.879648
relative_absolute_error
1.056134
relative_absolute_error
0.968537
relative_absolute_error
0.783879
relative_absolute_error
0.793467
relative_absolute_error
0.767677
relative_absolute_error
1.029146
relative_absolute_error
1.021372
relative_absolute_error
0.949232
relative_absolute_error
1.011395
relative_absolute_error
1.024246
relative_absolute_error
0.593415
relative_absolute_error
0.880755
relative_absolute_error
0.823983
relative_absolute_error
0.805174
relative_absolute_error
0.924184
relative_absolute_error
1.056376
relative_absolute_error
0.945417
relative_absolute_error
0.958017
relative_absolute_error
1.048684
relative_absolute_error
0.902737
relative_absolute_error
0.854486
relative_absolute_error
0.956964
relative_absolute_error
0.97063
relative_absolute_error
0.88095
relative_absolute_error
0.866646
relative_absolute_error
0.905594
relative_absolute_error
0.966745
relative_absolute_error
0.922972
relative_absolute_error
0.885699
relative_absolute_error
0.795132
relative_absolute_error
1.050589
relative_absolute_error
0.889297
relative_absolute_error
0.930478
relative_absolute_error
1.048753
relative_absolute_error
0.873565
relative_absolute_error
0.904139
relative_absolute_error
0.906969
relative_absolute_error
0.907371
relative_absolute_error
0.926963
relative_absolute_error
1.05337
relative_absolute_error
0.981589
relative_absolute_error
1.030151
relative_absolute_error
0.853332
relative_absolute_error
1.12427
relative_absolute_error
1.079117
relative_absolute_error
0.975472
relative_absolute_error
0.790861
relative_absolute_error
0.881811
relative_absolute_error
1.045063
relative_absolute_error
1.025432
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.497699
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_prior_squared_error
0.499395
root_mean_squared_error
0.527343
root_mean_squared_error
0.628595
root_mean_squared_error
0.563325
root_mean_squared_error
0.532734
root_mean_squared_error
0.512537
root_mean_squared_error
0.439324
root_mean_squared_error
0.562839
root_mean_squared_error
0.625017
root_mean_squared_error
0.518492
root_mean_squared_error
0.539417
root_mean_squared_error
0.522473
root_mean_squared_error
0.517352
root_mean_squared_error
0.55849
root_mean_squared_error
0.509576
root_mean_squared_error
0.445823
root_mean_squared_error
0.484218
root_mean_squared_error
0.543715
root_mean_squared_error
0.485498
root_mean_squared_error
0.467772
root_mean_squared_error
0.469486
root_mean_squared_error
0.506317
root_mean_squared_error
0.485498
root_mean_squared_error
0.433503
root_mean_squared_error
0.497268
root_mean_squared_error
0.572573
root_mean_squared_error
0.528253
root_mean_squared_error
0.498685
root_mean_squared_error
0.520695
root_mean_squared_error
0.518382
root_mean_squared_error
0.417774
root_mean_squared_error
0.544875
root_mean_squared_error
0.429485
root_mean_squared_error
0.524228
root_mean_squared_error
0.48576
root_mean_squared_error
0.476693
root_mean_squared_error
0.515188
root_mean_squared_error
0.410373
root_mean_squared_error
0.511209
root_mean_squared_error
0.564016
root_mean_squared_error
0.538907
root_mean_squared_error
0.470672
root_mean_squared_error
0.479729
root_mean_squared_error
0.538303
root_mean_squared_error
0.429586
root_mean_squared_error
0.517692
root_mean_squared_error
0.542166
root_mean_squared_error
0.568047
root_mean_squared_error
0.534567
root_mean_squared_error
0.594066
root_mean_squared_error
0.484889
root_mean_squared_error
0.558383
root_mean_squared_error
0.540691
root_mean_squared_error
0.438969
root_mean_squared_error
0.492589
root_mean_squared_error
0.433999
root_mean_squared_error
0.544596
root_mean_squared_error
0.5527
root_mean_squared_error
0.541387
root_mean_squared_error
0.557678
root_mean_squared_error
0.536436
root_mean_squared_error
0.345446
root_mean_squared_error
0.508522
root_mean_squared_error
0.472488
root_mean_squared_error
0.450147
root_mean_squared_error
0.513918
root_mean_squared_error
0.566694
root_mean_squared_error
0.516242
root_mean_squared_error
0.519917
root_mean_squared_error
0.547628
root_mean_squared_error
0.51301
root_mean_squared_error
0.480838
root_mean_squared_error
0.499839
root_mean_squared_error
0.509196
root_mean_squared_error
0.490138
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