1657298
1
Jan van Rijn
9956
Supervised Classification
1724
weka.REPTree(15)
2367
weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
M
2
1724
V
0.001
1724
N
3
1724
S
1
1724
L
-1
1724
I
0.0
1724
weka
weka_3.7.13
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
4208565
description
https://api.openml.org/data/download/4208565/weka_generated_run7326741754309819118.xml
-1
4208568
model_readable
https://api.openml.org/data/download/4208568/WekaModel_weka.classifiers.trees.REPTree3190816496613122891.model
-1
4208567
model_serialized
https://api.openml.org/data/download/4208567/WekaSerialized_weka.classifiers.trees.REPTree7657053019218867185.model
-1
4208566
predictions
https://api.openml.org/data/download/4208566/weka_generated_predictions7780624887414583892.arff
area_under_roc_curve
0.836707 [0.852504,0.997434,0.715355,0.848192,0.729983,0.784033,0.758212,0.924491,0.763838,0.870578,0.797517,0.862682,0.932348,0.932683,0.761706,0.799412,0.704339,0.688388,0.866689,0.931538,0.90167,0.702819,0.928123,0.934006,0.608062,0.757798,0.79037,0.680255,0.933098,0.933966,0.857174,0.966045,0.61817,0.930137,0.765477,0.78125,0.897209,0.865248,0.756751,0.963657,0.828392,0.893932,0.792265,0.681084,0.716598,0.734642,0.893497,0.867775,0.801307,0.760009,0.832162,0.857608,0.928419,0.852515,0.883903,0.964683,0.933611,0.678439,0.897603,0.995815,0.83382,0.861379,0.833801,0.901256,0.835281,0.835735,0.929998,0.923069,0.887851,0.748598,0.762081,0.71571,0.966401,0.864794,0.865011,0.863965,0.823259,0.868663,0.963361,0.80486,0.890852,0.752823,0.696324,0.901117,0.925991,0.834926,0.657829,0.860175,0.788455,0.859918,0.926721,0.84377,0.805433,0.900703,0.834274,0.686868,0.835656,0.868466,0.857509,0.967566]
average_cost
0
f_measure
0.400277 [0.294118,0.666667,0.0625,0.357143,0.193548,0.206897,0.142857,0.375,0.344828,0.62069,0.4375,0.4,0.529412,0.722222,0.285714,0.484848,0.066667,0.181818,0.5625,0.533333,0.606061,0.058824,0.540541,0.6875,0.076923,0.222222,0.230769,0,0.606061,0.685714,0.387097,0.777778,0,0.540541,0.375,0.230769,0.555556,0.454545,0.3125,0.625,0.413793,0.344828,0.222222,0,0.071429,0.411765,0.181818,0.540541,0.466667,0.333333,0.428571,0.294118,0.514286,0.216216,0.222222,0.5625,0.666667,0.068966,0.55,0.638298,0.470588,0.529412,0.451613,0.6,0.545455,0.5,0.486486,0.4,0.388889,0.296296,0.243902,0.068966,0.702703,0.62069,0.56,0.551724,0.230769,0.625,0.648649,0.4375,0.363636,0.076923,0.166667,0.615385,0.526316,0.428571,0.166667,0.4,0.294118,0.368421,0.47619,0.090909,0.6,0.64,0.514286,0.129032,0.487805,0.555556,0.333333,0.83871]
kappa
0.410617
kb_relative_information_score
835.799914
mean_absolute_error
0.013614
mean_prior_absolute_error
0.0198
number_of_instances
1599 [15,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16]
precision
0.403494 [0.263158,0.538462,0.0625,0.416667,0.2,0.230769,0.166667,0.375,0.384615,0.692308,0.4375,0.368421,0.5,0.65,0.333333,0.470588,0.071429,0.333333,0.5625,0.571429,0.588235,0.055556,0.47619,0.6875,0.1,0.272727,0.3,0,0.588235,0.631579,0.4,0.7,0,0.47619,0.375,0.3,0.5,0.357143,0.3125,0.625,0.461538,0.384615,0.272727,0,0.083333,0.388889,0.333333,0.47619,0.5,0.3,0.5,0.277778,0.473684,0.190476,0.2,0.5625,0.6,0.076923,0.458333,0.483871,0.444444,0.5,0.466667,0.642857,0.529412,0.5,0.428571,0.428571,0.35,0.363636,0.2,0.076923,0.619048,0.692308,0.777778,0.615385,0.3,0.625,0.571429,0.4375,0.285714,0.1,0.25,0.8,0.454545,0.346154,0.25,0.333333,0.277778,0.318182,0.384615,0.166667,0.642857,0.888889,0.473684,0.133333,0.4,0.5,0.5,0.866667]
predictive_accuracy
0.41651
prior_entropy
6.643831
recall
0.41651 [0.333333,0.875,0.0625,0.3125,0.1875,0.1875,0.125,0.375,0.3125,0.5625,0.4375,0.4375,0.5625,0.8125,0.25,0.5,0.0625,0.125,0.5625,0.5,0.625,0.0625,0.625,0.6875,0.0625,0.1875,0.1875,0,0.625,0.75,0.375,0.875,0,0.625,0.375,0.1875,0.625,0.625,0.3125,0.625,0.375,0.3125,0.1875,0,0.0625,0.4375,0.125,0.625,0.4375,0.375,0.375,0.3125,0.5625,0.25,0.25,0.5625,0.75,0.0625,0.6875,0.9375,0.5,0.5625,0.4375,0.5625,0.5625,0.5,0.5625,0.375,0.4375,0.25,0.3125,0.0625,0.8125,0.5625,0.4375,0.5,0.1875,0.625,0.75,0.4375,0.5,0.0625,0.125,0.5,0.625,0.5625,0.125,0.5,0.3125,0.4375,0.625,0.0625,0.5625,0.5,0.5625,0.125,0.625,0.625,0.25,0.8125]
relative_absolute_error
0.687591
root_mean_prior_squared_error
0.099499
root_mean_squared_error
0.090266
root_relative_squared_error
0.907205
total_cost
0
area_under_roc_curve
0.834753 [0.968354,0.996855,0.968553,0.996835,0.72943,0.719937,0.738924,0.993711,0.735759,0.995253,0.968553,0.969937,0.996835,0.996835,0.731013,0.742089,0.46519,0.446541,0.992089,0.985759,0.484277,0.46519,0.977848,1,0.443038,0.996855,0.477987,0.471519,0.996835,0.993711,0.976266,0.996835,0.449686,0.984277,0.996855,0.949367,0.484277,0.996855,0.993671,1,0.742089,0.996855,0.993711,0.724684,0.484277,0.471698,0.957278,0.487421,0.738924,0.987342,0.490566,0.982595,0.990566,0.987342,0.465409,0.998418,1,0.455975,0.996855,0.993711,1,0.981013,0.996855,0.993711,0.745253,1,1,0.990566,0.477987,0.734177,0.734177,0.731013,0.996855,1,0.742089,0.493671,0.724684,0.996835,0.996855,0.996855,1,0.954114,0.735759,0.998418,0.974843,0.992089,0.740506,0.710443,0.477848,0.993671,0.745253,0.974684,0.996855,0.993671,0.742089,0.471519,0.487421,0.981132,0.735759,1]
area_under_roc_curve
0.796878 [0.987342,1,0.990566,0.727848,0.468354,0.985759,0.719937,0.965409,0.740506,0.746835,0.493711,0.746835,0.990506,0.982595,0.731013,0.468354,0.976266,0.940252,0.968354,0.993671,0.988924,0.702532,0.973101,0.996835,0.716772,0.484177,0.477987,0.941456,0.995253,0.992089,0.743671,0.995253,0.987421,0.996855,0.477987,0.481013,0.993711,1,0.452532,0.735759,0.990506,0.943396,0.484277,0.446203,0.462264,0.993711,0.971519,0.459119,0.734177,0.72943,0.984277,0.723101,0.996855,0.988924,0.987421,1,1,0.468553,0.996855,1,0.993711,0.455696,0.471698,0.996855,0.985759,0.487342,0.995253,0.465409,0.487421,0.471519,0.727848,0.462025,1,0.471698,0.995253,1,0.960443,0.46519,0.996855,0.996855,0.981132,0.719937,0.487421,0.75,0.974843,0.484177,0.452532,0.746835,0.716772,0.740506,0.993671,0.971519,1,1,0.990506,0.458861,0.996855,0.990566,0.995253,1]
area_under_roc_curve
0.850914 [0.748418,1,0.490506,0.993671,1,0.971698,0.976266,1,1,1,0.995253,0.968553,0.740506,0.996835,1,0.998418,0.958861,0.727848,0.726266,1,1,0.879747,0.996835,0.493711,0.937107,0.721519,0.990566,0.721519,0.995253,0.987342,0.946203,0.996855,0.455696,0.981013,0.471519,0.993711,0.996855,0.738924,0.918239,0.996855,0.493671,0.481132,0.484277,0.723101,0.977848,0.996835,0.693038,1,0.737342,0.465409,0.990566,0.987342,0.996835,0.995253,0.981132,0.988924,1,0.449686,0.490566,1,0.712025,0.993711,1,1,0.477848,0.746835,0.996835,0.477987,1,0.72943,0.710443,0.707278,1,0.990566,1,0.969937,0.710443,1,1,0.981013,0.940252,0.462025,0.990566,0.987342,0.977987,1,0.449367,0.471698,0.732595,0.955975,0.993711,0.973101,0.732595,1,0.732595,0.990566,0.996855,0.745253,0.984177,1]
area_under_roc_curve
0.822175 [0.740506,0.990566,0.71519,0.911392,0.990506,0.95283,0.477848,0.734177,0.955975,0.996835,0.726266,1,0.996835,0.993671,0.477848,0.996835,0.458861,0.727848,0.738924,1,0.75,0.46519,0.998418,0.487421,0.477987,0.740506,0.974843,0.46519,0.992089,0.740506,1,1,0.735759,0.742089,0.993671,0.437107,1,1,0.968553,1,0.993671,0.974843,0.487421,0.688291,0.723101,0.72943,0.941456,0.990506,0.996855,0.977987,0.996855,0.71519,0.993671,0.724684,0.990506,1,0.993711,0.443396,0.996855,0.993711,1,0.955975,0.484277,1,0.737342,1,0.993671,0.977987,1,0.669304,0.995253,0.436709,0.993671,1,0.973101,0.71519,0.699367,0.484277,0.996835,0.742089,0.477987,0.481013,0.481132,0.996835,1,0.740506,0.952532,0.974843,0.696203,0.493711,0.990566,0.735759,1,1,0.484277,1,0.988924,0.743671,0.732595,1]
area_under_roc_curve
0.837548 [0.993671,0.993671,0.708861,0.462264,0.977987,1,0.984277,0.743671,0.446541,1,0.734177,0.496855,0.996855,1,0.468553,0.996855,0.742089,0.462025,0.737342,0.996855,0.993671,0.965409,0.75,1,0.462264,0.718354,0.982595,0.962264,0.746835,1,0.993711,0.996855,0.726266,0.996835,1,0.968553,0.982595,0.712025,0.959119,0.993711,0.977848,0.996835,0.985759,0.69462,0.716772,0.487342,0.681962,1,0.993711,0.984277,0.727848,0.988924,0.743671,0.955975,1,0.996835,1,0.726266,0.993671,0.996835,1,0.981132,0.996835,0.490506,0.996855,0.487421,0.734177,0.995253,0.97943,0.732595,0.477987,0.459119,1,0.993671,0.712025,1,0.487421,0.987421,1,0.490506,0.996835,0.719937,0.930818,0.968553,0.732595,0.481013,0.458861,0.987421,0.727848,0.993711,0.993711,0.727848,1,1,0.993711,0.984277,0.484177,0.982595,0.731013,1]
area_under_roc_curve
0.85526 [1,0.996835,0.452532,0.462264,0.437107,0.937107,0.974843,0.990506,0.981132,0.484277,0.737342,1,1,1,0.996855,0.462264,0.919304,0.704114,0.987342,1,0.998418,0.45283,0.996835,1,0.45283,0.960443,0.732595,0.959119,0.996835,1,0.45283,0.996855,0.458861,0.993671,0.46519,0.449686,0.743671,0.734177,0.996855,1,1,0.993671,0.716772,0.882911,0.689873,0.996835,0.987342,0.996835,0.996855,0.433962,0.477848,0.474843,0.987342,0.955975,0.985759,0.993671,0.723101,0.46519,0.996835,1,0.732595,0.477987,0.737342,0.996835,0.996855,1,0.974684,0.973101,0.971519,0.976266,0.95283,0.937107,1,1,1,0.955975,0.993711,0.981132,0.745253,1,0.925633,0.977987,0.732595,1,0.743671,0.993671,0.735759,0.996855,0.977848,0.955975,0.981132,0.987342,0.727848,0.742089,0.996855,0.471698,0.740506,1,0.742089,0.984177]
area_under_roc_curve
0.836857 [0.981132,0.996835,0.958861,1,0.971698,0.487342,0.990566,0.96519,0.468354,0.490566,0.996835,0.977848,0.993711,0.493711,0.955975,0.481132,0.918239,0.740506,1,0.998418,1,0.440252,0.462264,0.996835,0.481013,0.716772,0.493671,0.446541,0.981132,0.746835,0.984277,0.996835,0.685127,0.996835,0.97943,0.946203,0.984177,0.716772,0.719937,0.993671,1,1,0.72943,0.996855,0.713608,0.969937,0.981132,0.732595,0.996855,0.746835,0.981013,0.965409,0.745253,0.471698,0.745253,0.493711,0.996835,0.713608,0.707278,0.987342,0.740506,1,0.990506,0.995253,0.993711,0.990566,0.993711,0.990506,0.981013,0.459119,0.471698,0.987421,0.990506,0.484177,1,1,0.990566,0.742089,0.987342,0.738924,0.746835,0.981132,0.493671,1,1,0.987421,0.459119,0.977848,1,0.737342,0.727848,0.933962,0.745253,0.723101,1,0.735759,0.996835,0.737342,1,1]
area_under_roc_curve
0.850501 [0.487421,1,0.69462,0.955975,1,0.949367,0.455975,0.993671,1,0.993711,0.471519,0.990506,0.990566,1,0.993711,1,0.424528,0.745253,1,0.737342,0.487421,0.996855,0.981132,1,0.731013,0.993711,0.946203,0.468553,0.996855,1,0.459119,1,0.481013,0.996835,0.727848,0.738924,1,0.996835,0.742089,0.996835,0.471698,0.732595,0.993671,0.471698,0.740506,0.474684,0.949686,0.985759,0.993671,0.742089,1,0.993711,0.974684,0.959119,0.952532,1,1,0.947785,0.742089,0.984177,0.740506,0.734177,0.737342,0.998418,0.996855,0.723101,0.996855,0.987342,0.719937,0.965409,0.487421,0.974843,0.993671,0.746835,0.487421,0.493711,1,1,0.97943,0.490506,0.993671,0.996855,0.723101,0.5,1,0.993711,0.481132,0.731013,0.993711,0.987342,1,0.971698,0.477848,0.969937,0.996835,0.697785,0.993671,0.993671,0.974843,0.996835]
area_under_roc_curve
0.805611 [0.474843,0.996835,0.465409,0.723101,0.468354,0.742089,0.742089,0.990506,0.727848,0.996835,0.949686,0.734177,0.996835,0.481132,0.468354,0.732595,0.449686,0.474843,0.493711,0.727848,0.993711,0.958861,1,0.987342,0.873418,0.468553,0.685127,0.933544,0.496855,1,0.988924,0.740506,0.946541,1,0.490566,0.71519,0.734177,0.984277,0.721519,0.993671,0.462264,0.993671,0.981013,0.465409,0.465409,0.474843,0.883648,0.477987,0.490506,0.746835,0.738924,0.443396,1,0.738924,0.734177,0.996855,0.988924,0.693038,0.996835,0.993671,0.462264,0.996835,0.738924,0.746835,0.743671,0.992089,0.996855,0.987342,0.996835,0.993711,0.727848,0.724684,0.487421,0.946203,1,0.996835,0.731013,0.996835,1,0.996855,0.726266,0.993711,0.474684,0.998418,0.992089,0.990566,0.977987,0.984177,1,0.993671,0.960443,0.446541,0.996855,1,0.484177,0.713608,0.740506,0.5,0.981132,0.746835]
area_under_roc_curve
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average_cost
0
average_cost
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average_cost
0
average_cost
0
average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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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
0.419261
kappa
0.381289
kappa
0.4003
kappa
0.419215
kappa
0.412531
kappa
0.431437
kappa
0.381069
kappa
0.450324
kappa
0.342942
kappa
0.465974
kb_relative_information_score
84.168887
kb_relative_information_score
75.19902
kb_relative_information_score
85.191276
kb_relative_information_score
81.374878
kb_relative_information_score
84.539894
kb_relative_information_score
87.737551
kb_relative_information_score
81.738202
kb_relative_information_score
87.730268
kb_relative_information_score
75.189679
kb_relative_information_score
92.930259
mean_absolute_error
0.013701
mean_absolute_error
0.014098
mean_absolute_error
0.013451
mean_absolute_error
0.013588
mean_absolute_error
0.013816
mean_absolute_error
0.013115
mean_absolute_error
0.014049
mean_absolute_error
0.013336
mean_absolute_error
0.014412
mean_absolute_error
0.01257
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
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number_of_instances
160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,1,2,2,2,2,1,1,2,2,1,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,2,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1]
number_of_instances
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number_of_instances
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number_of_instances
160 [2,1,2,2,2,1,2,2,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,1,1,1,2,2,2,2,2,1,1,1,1,2,1,1,1,2,1,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,1,1,2,2,2,1]
number_of_instances
160 [2,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,2,2,1,2,2,1,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,2,1,1,2,2,2,1,2,1,1,2,2,1,1,1,2,2,2,2]
number_of_instances
160 [1,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,1,2,1,2,2,2,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,1,2,1,2,2,2,1,2,1,1,2,2,2,1,1,2,2,2,2]
number_of_instances
160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,1,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,1,2,2,2,1,2]
number_of_instances
160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,1,1,1,2,2,1,2,1,1,1,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,2,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,2,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,2,2,2,2,1,2]
number_of_instances
160 [1,2,1,2,2,2,2,2,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,1,1,2,2,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,1,2,2,2,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2]
number_of_instances
159 [1,2,1,2,2,2,2,1,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,2,1,2,1,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,2,1,1,1,2]
precision
0.362812 [0,0.5,0,0.666667,0,0,0,0,1,1,0,0.333333,0.666667,0.666667,0.5,0.5,0,0,0.5,0,0,0,0.25,1,0,0.5,0,0,1,0.333333,0,0.666667,0,0,0.5,0,0,0.5,0.666667,1,0.5,0.5,0.5,0,0,0,0,0,1,1,0,0,0,0.5,0,1,1,0,0.5,0.333333,0.333333,0.333333,0.5,0,0.5,1,1,0.25,0,0.5,0.25,0,0.5,1,1,0,0,0.666667,0.5,0.5,1,0,0,1,0,0.4,0.333333,0,0,0.5,0.5,0,0.5,0,0.5,0,0,0,0,1]
precision
0.371875 [0,1,0.2,0,0,1,0,0,1,0,0,1,0.4,0.5,0.25,0,0,0,0.5,0.5,1,0,0.2,0.666667,1,0,0,0,0.666667,1,1,1,0,0.5,0,0,0.333333,1,0,0,1,0,0,0,0,0.333333,0.5,0,0,0.5,0,0,0.5,0.333333,0.2,1,1,0,0.5,1,0.25,0,0,0.5,0.5,0,1,0,0,0,0.166667,0,1,0,1,1,0,0,0.5,0.5,0,0,0,1,0.2,0,0,1,0,0.333333,0.5,0.2,1,1,0.4,0,0.5,0.25,1,1]
precision
0.371205 [0,1,0,1,1,0,0.333333,1,1,1,0.666667,0,0.25,0.666667,1,1,0,0,0,1,1,0,1,0,0,0,0.333333,0,0.666667,0.333333,0,0.5,0,0.25,0,1,0.333333,0.5,0,0.5,0,0,0,0,0,0.666667,0,1,0.5,0,0.5,0,0.666667,0.5,0.142857,0,1,0,0,1,0,0.333333,1,1,0,0.5,0.666667,0,1,1,0,0,1,0.25,1,0,0,1,1,0.333333,0,0,0,0,0,1,0,0,0.333333,0,0.333333,0,0,1,0,0,0.5,0.5,0,1]
precision
0.38349 [0.5,0.25,0,0,0.333333,0,0,0,0,0.666667,0,1,0.666667,0.5,0,0.666667,0,1,1,1,1,0,1,0,0,0.5,0,0,0.5,0.333333,1,1,0,1,0.5,0,1,1,0,1,0,0,0,0,0,0.5,0.5,0.333333,0.5,0.125,0.5,0.2,0.5,0,0,1,0.333333,0,0.5,0.333333,1,0,0,1,1,1,0,0,1,0,0.5,0,0.5,1,0,0,0,0,1,0,0,0,0,0.666667,1,0,0,0.166667,0,0,0.25,0,1,1,0,1,0.5,1,0.333333,1]
precision
0.390476 [0.5,0.5,0,0,0,0.333333,0.142857,0.333333,0,1,1,0,0,1,0,0.5,0.5,0,0.5,0,0.5,0,1,1,0,0,0,0,0.5,1,0.5,0.5,0,0.666667,1,0,0.333333,0,0,0.333333,0.5,1,1,0,0,0,0,1,0,0,0,0.333333,1,0,1,0.666667,1,0,0.5,0.666667,1,0,1,0,0.5,0,0,1,0.25,0.5,0,0,1,1,0,1,0,0,1,0,0.666667,0,0,0,0.333333,0,0,0,0.166667,0,0,0,1,1,0.333333,0,0,0.25,0,1]
precision
0.398021 [1,0.4,0,0,0,0,0,0.4,0,0,0.333333,0.5,1,1,0,0,0,0,0.333333,0.25,1,0,0.666667,1,0,0,0,0,1,1,0,0.5,0,0.5,0,0,1,1,0.5,1,1,0.5,0,0,0,0.666667,0,0.666667,0.5,0,0,0,0,0,0,0,0,0,0.666667,1,0,0,0.5,1,0.5,1,0.25,0.333333,0.5,0.5,0,0,1,1,1,0,0.333333,0,0.333333,1,0,0,1,1,0.5,0.5,0,0,0,0,0,0,0.5,1,0.5,0,0.333333,0.666667,1,1]
precision
0.36558 [0.142857,1,0,0,0,0,0,0.25,0,0,0.666667,0,0,0,0,0,0,1,1,1,1,0,0,0.666667,0,0,0,0,0,0.5,0,0.666667,0,0.666667,0,0,0,0,0,1,0.333333,0,0,0,0,0.333333,0,0.5,0.5,1,1,0,0,0,1,0,0.666667,0,0,0.333333,0.25,1,0,0.5,0,0.25,0.2,1,0,0,0,0.2,0.333333,0,1,1,0.333333,0.5,0.333333,1,0.5,0,0,1,1,0.2,0,0.333333,1,0.5,0.25,0,1,0,1,0.25,0.666667,1,1,1]
precision
0.404821 [0,1,0,0,1,0,0,0,1,0,0,0.4,0,1,0.333333,1,0,0,1,0,0,0,0,1,0,0,0,0,0.5,1,0,1,0,1,0.333333,0.333333,1,0.5,0.5,0.5,0,0,1,0,0.25,0,0,0.333333,0.5,1,1,0.333333,0.25,0,0,1,1,0,0.333333,0.285714,0.5,0.5,1,1,0.5,0.2,0.5,0,0,0,0,0,0.5,1,0,0,1,1,0.333333,0,0.5,0.5,1,0,1,0,0,1,0.333333,0,1,0,0,0,0.666667,0,0.5,0.5,0,0.666667]
precision
0.307738 [0,0.666667,0,0.333333,0,0.5,0,0.5,0,0.666667,0,0,0,0,0,1,0,0,0,0.333333,0,0,1,0,0,0,0,0,0,1,0.25,0.5,0,0,0,0,0.5,0.166667,0.5,0,0,0.5,0,0,0,0,0,0,0,1,1,0,1,0.25,0,0.5,0.5,0,0.666667,0.5,0,0.666667,1,1,0.333333,1,0.5,0,0.5,0,0,0,0,0,1,0.666667,0,0.666667,1,0.5,0,0,0,1,0.5,0.166667,0,0.285714,1,0.5,0,0,0.333333,1,0,0,0.25,0,0,1]
precision
0.417191 [0,0.4,0,0.5,0,0,0,0,0.2,0.5,0.5,1,1,1,0,1,0,0,1,1,0.5,0.125,1,0.5,0,0.5,0.5,0,1,1,0.5,1,0,0,0,1,0.5,0.25,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0.666667,0.333333,0,0,0.25,0.5,0.5,1,1,0.5,1,0.5,1,0.666667,0,0,1,0,0,0.4,0,0.5,1,0,1,0,1,0.5,0,0.5,0,0,0.5,0.333333,1,0.25,1,0,0.25,0.666667,0,0,1,1,0,0.5,1,0,0.666667]
predictive_accuracy
0.425
predictive_accuracy
0.3875
predictive_accuracy
0.40625
predictive_accuracy
0.425
predictive_accuracy
0.41875
predictive_accuracy
0.4375
predictive_accuracy
0.3875
predictive_accuracy
0.45625
predictive_accuracy
0.35
predictive_accuracy
0.471698
prior_entropy
6.643831
prior_entropy
6.643831
prior_entropy
6.643831
prior_entropy
6.643831
prior_entropy
6.643831
prior_entropy
6.643831
prior_entropy
6.643831
prior_entropy
6.643831
prior_entropy
6.643831
prior_entropy
6.643831
recall
0.425 [0,1,0,1,0,0,0,0,0.5,0.5,0,0.5,1,1,0.5,0.5,0,0,0.5,0,0,0,1,1,0,1,0,0,0.5,1,0,1,0,0,1,0,0,1,1,1,0.5,1,1,0,0,0,0,0,0.5,0.5,0,0,0,0.5,0,0.5,1,0,1,1,1,0.5,1,0,0.5,1,1,1,0,0.5,0.5,0,1,1,0.5,0,0,1,1,1,1,0,0,0.5,0,1,0.5,0,0,1,0.5,0,1,0,0.5,0,0,0,0,1]
recall
0.3875 [0,1,1,0,0,0.5,0,0,0.5,0,0,0.5,1,0.5,0.5,0,0,0,0.5,0.5,0.5,0,0.5,1,0.5,0,0,0,1,0.5,0.5,0.5,0,1,0,0,1,1,0,0,0.5,0,0,0,0,1,0.5,0,0,0.5,0,0,1,0.5,1,1,1,0,1,1,1,0,0,1,0.5,0,0.5,0,0,0,0.5,0,1,0,0.5,1,0,0,1,1,0,0,0,0.5,1,0,0,0.5,0,0.5,1,0.5,1,1,1,0,1,1,0.5,1]
recall
0.40625 [0,1,0,0.5,0.5,0,0.5,1,1,1,1,0,0.5,1,0.5,0.5,0,0,0,1,1,0,0.5,0,0,0,1,0,1,0.5,0,1,0,0.5,0,1,1,0.5,0,1,0,0,0,0,0,1,0,1,0.5,0,1,0,1,0.5,1,0,1,0,0,1,0,1,1,1,0,0.5,1,0,1,0.5,0,0,1,1,0.5,0,0,1,1,0.5,0,0,0,0,0,1,0,0,0.5,0,1,0,0,1,0,0,1,0.5,0,1]
recall
0.425 [0.5,1,0,0,0.5,0,0,0,0,1,0,1,1,1,0,1,0,0.5,0.5,1,0.5,0,0.5,0,0,0.5,0,0,0.5,0.5,1,1,0,0.5,1,0,1,1,0,1,0,0,0,0,0,0.5,0.5,1,1,1,1,0.5,1,0,0,0.5,1,0,1,1,1,0,0,1,0.5,1,0,0,1,0,0.5,0,1,1,0,0,0,0,0.5,0,0,0,0,1,1,0,0,1,0,0,1,0,1,1,0,1,0.5,0.5,0.5,1]
recall
0.41875 [1,0.5,0,0,0,1,1,0.5,0,1,0.5,0,0,1,0,1,0.5,0,0.5,0,1,0,0.5,1,0,0,0,0,0.5,1,1,1,0,1,1,0,0.5,0,0,1,0.5,0.5,0.5,0,0,0,0,1,0,0,0,0.5,0.5,0,0.5,1,1,0,1,1,0.5,0,0.5,0,1,0,0,0.5,1,0.5,0,0,1,0.5,0,1,0,0,1,0,1,0,0,0,0.5,0,0,0,0.5,0,0,0,1,1,1,0,0,0.5,0,1]
recall
0.4375 [1,1,0,0,0,0,0,1,0,0,0.5,1,1,1,0,0,0,0,1,1,0.5,0,1,1,0,0,0,0,0.5,1,0,1,0,1,0,0,0.5,0.5,1,1,1,1,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,1,0.5,0,0,0.5,0.5,1,1,0.5,0.5,0.5,0.5,0,0,1,1,1,0,1,0,0.5,1,0,0,0.5,1,0.5,1,0,0,0,0,0,0,0.5,0.5,1,0,0.5,1,0.5,0.5]
recall
0.3875 [1,0.5,0,0,0,0,0,0.5,0,0,1,0,0,0,0,0,0,0.5,1,0.5,1,0,0,1,0,0,0,0,0,0.5,0,1,0,1,0,0,0,0,0,0.5,1,0,0,0,0,0.5,0,0.5,1,0.5,0.5,0,0,0,0.5,0,1,0,0,1,0.5,1,0,0.5,0,1,1,0.5,0,0,0,1,0.5,0,1,1,1,0.5,0.5,0.5,0.5,0,0,1,1,1,0,1,1,0.5,0.5,0,0.5,0,1,0.5,1,0.5,1,0.5]
recall
0.45625 [0,1,0,0,1,0,0,0,0.5,0,0,1,0,1,1,1,0,0,1,0,0,0,0,1,0,0,0,0,1,1,0,1,0,0.5,0.5,0.5,1,1,0.5,1,0,0,0.5,0,0.5,0,0,0.5,1,0.5,1,1,0.5,0,0,1,1,0,0.5,1,0.5,0.5,0.5,0.5,1,0.5,1,0,0,0,0,0,0.5,0.5,0,0,1,1,0.5,0,1,1,0.5,0,1,0,0,0.5,1,0,1,0,0,0,1,0,1,1,0,1]
recall
0.35 [0,1,0,0.5,0,0.5,0,0.5,0,1,0,0,0,0,0,0.5,0,0,0,0.5,0,0,1,0,0,0,0,0,0,1,0.5,0.5,0,0,0,0,0.5,1,0.5,0,0,0.5,0,0,0,0,0,0,0,0.5,0.5,0,1,0.5,0,1,0.5,0,1,1,0,1,0.5,0.5,0.5,0.5,1,0,1,0,0,0,0,0,1,1,0,1,1,1,0,0,0,0.5,0.5,1,0,1,1,1,0,0,1,1,0,0,0.5,0,0,0.5]
recall
0.471698 [0,1,0,0.5,0,0,0,0,0.5,0.5,1,0.5,0.5,1,0,0.5,0,0,1,1,1,0.5,1,0.5,0,1,1,0,1,1,0.5,1,0,0,0,0.5,1,1,0,0.5,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,0.5,0.5,0.5,1,1,1,0.5,1,1,0,0,1,0,0,1,0,1,1,0,1,0,1,1,0,1,0,0,0.5,0.5,1,1,0.5,0,0.5,1,0,0,0.5,0.5,0,1,1,0,1]
relative_absolute_error
0.69198
relative_absolute_error
0.712038
relative_absolute_error
0.679324
relative_absolute_error
0.686273
relative_absolute_error
0.697795
relative_absolute_error
0.662369
relative_absolute_error
0.709533
relative_absolute_error
0.673551
relative_absolute_error
0.727863
relative_absolute_error
0.634856
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_squared_error
0.091748
root_mean_squared_error
0.093979
root_mean_squared_error
0.089807
root_mean_squared_error
0.09009
root_mean_squared_error
0.089339
root_mean_squared_error
0.087289
root_mean_squared_error
0.09188
root_mean_squared_error
0.088902
root_mean_squared_error
0.093529
root_mean_squared_error
0.085725
root_relative_squared_error
0.922099
root_relative_squared_error
0.94452
root_relative_squared_error
0.902597
root_relative_squared_error
0.905434
root_relative_squared_error
0.897887
root_relative_squared_error
0.877291
root_relative_squared_error
0.923436
root_relative_squared_error
0.893499
root_relative_squared_error
0.940002
root_relative_squared_error
0.86157
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0