505646
603
Casey Davis
9956
Supervised Classification
1720
weka.J48(33)
3045
weka.classifiers.trees.J48 -- -O -S -C 0.25 -M 2 -J
O
true
1720
C
0.25
1720
M
2
1720
S
true
1720
J
true
1720
weka
weka_3.7.13
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
1758908
description
https://api.openml.org/data/download/1758908/weka_generated_run409997298348501177.xml
-1
1758910
model_readable
https://api.openml.org/data/download/1758910/WekaModel_weka.classifiers.trees.J484822133674259647591.model
-1
1758909
model_serialized
https://api.openml.org/data/download/1758909/WekaSerialized_weka.classifiers.trees.J483586171212097499632.model
-1
1758911
predictions
https://api.openml.org/data/download/1758911/weka_generated_predictions8920643596747672693.arff
area_under_roc_curve
0.776143 [0.729545,0.93594,0.651492,0.714466,0.618861,0.716065,0.869295,0.841164,0.746901,0.841855,0.810289,0.840809,0.872138,0.903506,0.745716,0.746822,0.616827,0.778467,0.904888,0.809657,0.967625,0.649084,0.840512,0.936197,0.520373,0.74388,0.715532,0.516879,0.935644,0.936138,0.746565,0.873776,0.553873,0.842269,0.683631,0.676998,0.747967,0.904967,0.68217,0.841085,0.810368,0.839664,0.555235,0.58609,0.77746,0.810072,0.682269,0.874072,0.747217,0.777499,0.808789,0.716065,0.74394,0.747572,0.680966,0.904296,0.87346,0.558177,0.842487,0.873519,0.905835,0.840532,0.841578,0.811,0.779217,0.840512,0.808019,0.744907,0.684045,0.584847,0.74619,0.614557,0.936868,0.745025,0.779888,0.843335,0.746605,0.748263,0.904631,0.682821,0.715789,0.71419,0.776354,0.743209,0.74619,0.810881,0.582182,0.840888,0.904552,0.808256,0.809341,0.616709,0.936355,0.936987,0.778467,0.839585,0.77823,0.874763,0.748046,0.842645]
average_cost
0
f_measure
0.522177 [0.451613,0.848485,0.294118,0.461538,0.228571,0.466667,0.511628,0.645161,0.466667,0.666667,0.588235,0.55,0.666667,0.702703,0.457143,0.5,0.222222,0.545455,0.742857,0.571429,0.774194,0.266667,0.545455,0.848485,0,0.432432,0.424242,0,0.777778,0.787879,0.4375,0.685714,0.114286,0.689655,0.296296,0.217391,0.533333,0.764706,0.30303,0.647059,0.6,0.470588,0.071429,0.142857,0.5625,0.580645,0.375,0.8,0.551724,0.514286,0.545455,0.5,0.444444,0.571429,0.3125,0.645161,0.774194,0.086957,0.709677,0.75,0.8125,0.628571,0.666667,0.666667,0.551724,0.594595,0.545455,0.444444,0.444444,0.064516,0.484848,0.142857,0.848485,0.451613,0.6,0.740741,0.470588,0.592593,0.709677,0.285714,0.466667,0.444444,0.461538,0.3125,0.466667,0.689655,0.137931,0.666667,0.75,0.540541,0.588235,0.129032,0.848485,0.848485,0.6,0.611111,0.6,0.857143,0.571429,0.733333]
kappa
0.518639
kb_relative_information_score
859.708246
mean_absolute_error
0.009961
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]
os_information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
precision
0.531089 [0.4375,0.823529,0.277778,0.6,0.210526,0.5,0.407407,0.666667,0.5,0.714286,0.555556,0.458333,0.6,0.619048,0.421053,0.5,0.2,0.529412,0.684211,0.526316,0.8,0.285714,0.529412,0.823529,0,0.380952,0.411765,0,0.7,0.764706,0.4375,0.631579,0.105263,0.769231,0.363636,0.166667,0.571429,0.722222,0.294118,0.611111,0.642857,0.444444,0.083333,0.166667,0.5625,0.6,0.375,0.857143,0.615385,0.473684,0.529412,0.583333,0.4,0.666667,0.3125,0.666667,0.8,0.142857,0.733333,0.75,0.8125,0.578947,0.647059,0.714286,0.615385,0.52381,0.529412,0.4,0.545455,0.066667,0.470588,0.166667,0.823529,0.466667,0.642857,0.909091,0.444444,0.727273,0.733333,0.333333,0.5,0.545455,0.6,0.3125,0.5,0.769231,0.153846,0.714286,0.75,0.47619,0.555556,0.133333,0.823529,0.823529,0.642857,0.55,0.642857,1,0.666667,0.785714]
predictive_accuracy
0.523452
prior_entropy
6.643831
recall
0.523452 [0.466667,0.875,0.3125,0.375,0.25,0.4375,0.6875,0.625,0.4375,0.625,0.625,0.6875,0.75,0.8125,0.5,0.5,0.25,0.5625,0.8125,0.625,0.75,0.25,0.5625,0.875,0,0.5,0.4375,0,0.875,0.8125,0.4375,0.75,0.125,0.625,0.25,0.3125,0.5,0.8125,0.3125,0.6875,0.5625,0.5,0.0625,0.125,0.5625,0.5625,0.375,0.75,0.5,0.5625,0.5625,0.4375,0.5,0.5,0.3125,0.625,0.75,0.0625,0.6875,0.75,0.8125,0.6875,0.6875,0.625,0.5,0.6875,0.5625,0.5,0.375,0.0625,0.5,0.125,0.875,0.4375,0.5625,0.625,0.5,0.5,0.6875,0.25,0.4375,0.375,0.375,0.3125,0.4375,0.625,0.125,0.625,0.75,0.625,0.625,0.125,0.875,0.875,0.5625,0.6875,0.5625,0.75,0.5,0.6875]
relative_absolute_error
0.503067
root_mean_prior_squared_error
0.099499
root_mean_squared_error
0.09248
root_relative_squared_error
0.929459
scimark_benchmark
1185.290878 [737.2107719365564, 1113.5250084454917, 473.2224763010988, 1151.2692389515444, 2451.226892132747]
total_cost
0
usercpu_time_millis
290
usercpu_time_millis_testing
30
usercpu_time_millis_training
260
area_under_roc_curve
0.735963 [0.5,0.993711,0.490566,0.743671,0.487342,0.481013,0.496835,1,0.743671,0.496835,0.5,0.75,0.993671,1,0.5,0.996835,0.732595,1,1,0.5,1,0.474684,1,0.75,0.484177,1,0.5,0.484177,0.996835,0.5,0.75,0.746835,0.487421,1,0.493711,0.496835,0.993711,0.5,0.493671,1,0.748418,1,0.5,0.493671,0.996855,1,0.5,0.496855,0.490506,0.990506,0.993711,0.996835,0.493711,0.748418,0.996855,1,1,0.490566,0.493711,0.996855,1,0.743671,0.996855,0.496855,0.998418,0.996835,0.743671,0.477987,0.496855,0.496835,0.5,0.732595,0.496855,1,0.75,0.5,1,0.75,0.996855,0.487421,0.493711,1,0.490506,0.742089,0.5,1,0.484177,0.484177,0.75,0.993671,0.746835,0.735759,1,1,0.75,0.745253,0.487421,1,0.75,1]
area_under_roc_curve
0.789958 [1,1,1,0.75,0.745253,0.493671,0.995253,0.996855,0.75,0.75,1,1,1,0.984177,0.748418,0.490506,0.496835,0.993711,1,0.743671,0.998418,0.493671,0.996835,1,0.5,0.743671,0.493711,0.487342,0.996835,0.993671,0.745253,0.748418,1,0.990566,0.496855,0.732595,0.5,1,0.496835,0.745253,0.5,1,0.493711,0.490506,0.490566,1,0.745253,1,1,0.996835,0.996855,0.748418,0.993711,0.748418,0.481132,1,0.996855,0.496855,0.5,1,1,0.745253,1,0.996855,0.75,0.746835,0.75,0.5,0.993711,0.743671,0.995253,0.496835,1,0.974843,1,1,0.493671,0.496835,0.5,0.993711,0.5,1,0.487421,0.984177,0.496855,0.5,0.735759,0.743671,1,0.995253,0.496835,0.743671,1,0.996855,0.748418,0.743671,1,1,0.75,1]
area_under_roc_curve
0.784044 [0.748418,1,0.496835,0.748418,0.745253,1,1,1,1,0.996835,1,1,0.984177,0.748418,1,0.746835,0.993671,0.493671,0.993671,0.5,1,0.746835,0.748418,1,0.481132,0.481013,1,0.487342,1,1,0.748418,1,0.487342,0.75,0.75,0.484277,1,0.996835,1,0.493711,0.745253,0.996855,0.496855,0.740506,0.993671,0.75,0.75,1,0.746835,0.496855,0.496855,0.5,0.996835,1,0.996855,0.75,0.496855,0.490566,0.496855,0.496855,1,0.996855,0.493711,0.5,0.5,1,0.993671,1,0.484277,0.737342,1,0.487342,1,1,0.746835,0.75,0.743671,1,0.75,0.496835,0.496855,0.493671,0.996855,0.740506,0.493711,0.75,0.493671,1,0.75,0.493711,1,0.493671,1,0.996855,1,1,0.490566,1,0.496835,1]
area_under_roc_curve
0.774194 [0.75,0.5,0.75,0.996835,0.75,0.5,0.993671,0.746835,0.996855,0.996835,0.493671,0.996855,0.996835,0.75,0.737342,0.493671,0.487342,0.996835,0.748418,0.996855,0.75,0.745253,0.496835,0.5,0.490566,0.740506,1,0.484177,0.746835,1,0.740506,1,0.490506,1,0.746835,0.996855,0.996855,1,0.493711,0.993711,1,0.993711,0.493711,0.735759,0.748418,0.746835,1,0.75,1,0.496855,1,0.745253,0.496835,0.5,0.496835,0.993671,1,0.493711,1,0.996855,0.748418,0.993711,1,1,0.748418,0.496855,0.996835,1,1,0.484177,1,0.742089,1,0.496855,0.496835,0.75,0.493671,0.496855,0.996835,0.990506,0.993711,0.493671,0.487421,0.496835,0.490566,1,0.481013,0.996855,0.995253,1,1,0.496835,1,1,0.5,0.990566,0.748418,0.75,0.743671,0.996855]
area_under_roc_curve
0.761165 [0.746835,1,0.75,0.5,0.474843,1,0.490566,0.75,0.984277,0.987421,0.998418,0.996855,1,1,0.487421,1,0.493671,0.5,1,1,1,0.965409,0.990506,1,0.490566,0.738924,0.75,0.965409,1,1,0.993711,0.493711,0.487342,0.5,0.745253,0.496855,0.496835,0.746835,0.487421,0.496855,0.745253,0.996835,0.974684,0.496835,0.490506,0.735759,0.746835,0.748418,1,0.5,0.97943,0.75,1,0.5,0.496835,0.75,1,0.5,1,0.75,1,0.993711,0.75,0.746835,1,0.493711,0.496835,0.996835,0.496835,0.496835,0.5,1,1,0.493671,0.746835,1,0.493711,0.5,0.996835,0.496835,0.493671,0.487342,0.996855,0.487421,0.993671,0.996835,0.742089,0.5,0.993671,0.5,0.493711,0.740506,1,0.996855,0.990566,0.996855,0.493671,1,0.75,0.5]
area_under_roc_curve
0.800402 [0.5,0.996835,0.481013,0.996855,0.493711,1,0.987421,0.493671,1,0.5,1,0.996855,1,0.75,1,1,0.496835,0.746835,0.75,1,0.996835,0.493711,0.748418,0.996855,0.493711,0.745253,0.75,0.474843,0.993671,1,0.496855,1,0.496835,1,0.75,0.996855,0.75,1,1,0.996855,1,0.996835,0.493671,0.496835,0.746835,1,0.493671,1,1,1,0.746835,0.5,0.742089,1,0.746835,0.75,1,0.5,1,1,1,0.496855,0.75,1,0.493711,0.996855,1,0.490506,0.496835,0.743671,0.487421,0.490566,1,1,1,1,1,1,0.996835,0.746835,0.748418,0.487421,0.75,0.996855,0.75,1,0.5,0.490566,1,0.496855,0.993711,0.734177,0.746835,0.75,0.996855,0.493711,0.5,1,0.748418,0.996835]
area_under_roc_curve
0.777502 [0.481132,0.75,0.738924,0.487421,0.5,0.490506,0.996855,1,0.746835,1,0.748418,0.743671,0.496855,1,1,0.493711,0.487421,0.996835,0.996855,0.746835,1,0.496855,0.5,1,0.490506,0.745253,0.5,0.496855,1,0.75,0.496855,1,0.490506,0.75,0.493671,0.740506,0.748418,0.746835,0.72943,0.993671,1,0.5,0.493671,0.484277,0.746835,0.75,0.493711,1,0.493711,0.75,0.746835,0.984277,0.5,0.493711,0.742089,0.993711,0.748418,0.742089,1,1,0.748418,1,1,0.748418,1,0.996855,0.987421,0.748418,0.5,0.477987,0.493711,0.481132,0.996835,0.496835,0.996855,1,0.496855,0.748418,1,0.998418,0.75,0.996855,0.993671,0.996855,0.748418,0.496855,0.471698,1,0.996855,0.746835,0.746835,0.490566,0.996835,1,0.5,0.996835,0.996835,1,1,1]
area_under_roc_curve
0.774631 [0.493711,1,0.493671,1,0.490566,0.75,0.993711,0.995253,0.5,0.496855,0.75,0.732595,1,0.987421,0.996855,0.5,0.496855,0.746835,1,0.746835,1,0.496855,1,1,0.742089,0.493711,0.743671,0.477987,1,1,0.993711,1,0.496835,0.998418,0.75,0.487342,1,1,0.496835,0.996835,0.5,0.496835,0.490506,0.496855,1,1,0.496855,1,0.746835,0.490506,1,0.5,0.993671,0.996855,0.745253,1,1,0.496835,0.742089,0.75,1,1,0.746835,0.746835,0.496855,0.75,0.996855,0.740506,0.748418,0.496855,0.487421,0.974843,0.746835,0.490506,0.496855,0.5,0.996855,0.496835,0.996835,0.5,0.745253,1,0.746835,0.496855,0.745253,0.493711,0.484277,1,1,0.992089,0.993671,0.496855,0.746835,1,1,0.745253,1,0.5,0.996855,0.75]
area_under_roc_curve
0.797137 [0.993711,1,1,0.5,0.746835,0.75,0.998418,0.746835,0.496835,1,1,1,0.75,1,0.493671,0.746835,1,1,1,1,0.996855,0.745253,0.993711,0.996835,0.484177,0.996855,0.748418,0.493671,0.5,0.996855,0.748418,0.746835,0.493711,1,0.490566,0.745253,0.493671,1,1,1,1,0.998418,0.493671,1,0.496855,0.5,0.990566,0.5,0.748418,0.746835,0.75,0.993711,0.487421,0.743671,0.743671,0.996855,0.493671,0.75,1,0.996835,0.493711,1,0.996835,0.748418,0.748418,1,0.490566,0.746835,0.746835,0.487421,0.742089,0.490506,1,1,1,0.996835,0.746835,0.996835,1,0.496855,0.75,0.996855,0.740506,0.742089,0.748418,0.5,0.996855,1,0.5,1,0.746835,0.493711,0.996855,1,0.745253,0.75,1,0.5,1,0.5]
area_under_roc_curve
0.766662 [1,1,0.5,0.480892,0.5,0.996815,0.740446,1,0.745223,1,0.490506,0.5,0.5,0.996835,0.742038,1,0.490506,0.496835,0.493671,1,0.993671,0.743631,0.993671,0.996815,0.490446,0.993671,0.743631,0.5,0.996835,0.996835,0.75,0.998408,0.990506,0.496835,1,0.737261,0.75,1,0.746815,0.5,0.984177,0.727707,0.493631,0.490506,1,0.493671,0.490506,1,0.490446,0.996815,0.490446,0.496815,0.493671,0.748408,0.496835,0.996835,0.996815,0.496815,0.75,0.75,1,0.5,0.743631,1,0.996815,0.746815,0.490506,0.746815,0.993631,0.493671,0.746815,0.493631,1,0.742038,0.496835,1,0.995223,1,0.5,0.496835,0.996815,0.5,1,0.746815,1,1,0.487342,1,1,0.493631,1,0.490506,1,0.75,0.5,0.996815,0.996835,1,0.496835,0.996815]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.42995 [0,0.5,0,0.5,0,0,0,1,0.5,0,0,0.666667,0.666667,1,0,0.8,0.222222,1,1,0,1,0,1,0.666667,0,1,0,0,0.8,0,0.666667,0.666667,0,1,0,0,0.5,0,0,1,0.5,0.666667,0,0,0.666667,0.666667,0,0,0,0.571429,0.5,0.8,0,0.666667,0.666667,0.666667,1,0,0,0.666667,1,0.5,0.666667,0,0.666667,0.8,0.4,0,0,0,0,0,0,1,0.666667,0,0.8,0.666667,0.666667,0,0,1,0,0.5,0,1,0,0,0.666667,0.666667,0.5,0.285714,1,1,0.666667,0.5,0,1,0.666667,1]
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
0.55152
kappa
0.513735
kappa
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kappa
0.570605
kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
74.639413
kb_relative_information_score
88.223858
kb_relative_information_score
89.521634
kb_relative_information_score
85.485042
kb_relative_information_score
79.392312
kb_relative_information_score
94.75144
kb_relative_information_score
85.608893
kb_relative_information_score
85.933973
kb_relative_information_score
93.460396
kb_relative_information_score
82.691285
mean_absolute_error
0.011248
mean_absolute_error
0.009877
mean_absolute_error
0.009446
mean_absolute_error
0.010022
mean_absolute_error
0.010971
mean_absolute_error
0.008721
mean_absolute_error
0.010086
mean_absolute_error
0.009916
mean_absolute_error
0.008932
mean_absolute_error
0.010392
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
0.451994 [0,0.333333,0,0.5,0,0,0,1,0.5,0,0,1,0.5,1,0,0.666667,0.142857,1,1,0,1,0,1,1,0,1,0,0,0.666667,0,1,1,0,1,0,0,0.333333,0,0,1,0.5,0.5,0,0,0.5,0.5,0,0,0,0.4,0.333333,0.666667,0,1,0.5,1,1,0,0,0.5,1,0.5,0.5,0,1,0.666667,0.333333,0,0,0,0,0,0,1,1,0,0.666667,1,0.5,0,0,1,0,0.5,0,1,0,0,1,0.5,0.5,0.2,1,1,1,0.5,0,1,1,1]
precision
0.513988 [0.666667,1,0.5,1,0.5,0,1,0.5,1,1,0.5,1,1,0.285714,1,0,0,0.333333,1,0.25,0.666667,0,0.666667,1,0,0.333333,0,0,0.666667,0.5,0.5,0.5,1,0.333333,0,0,0,1,0,0.5,0,1,0,0,0,1,0.333333,1,1,0.666667,0.5,1,0.333333,1,0,1,0.5,0,0,1,1,0.5,1,0.5,1,0.5,1,0,0.5,0,0.666667,0,1,0,1,1,0,0,0,0.333333,0,1,0,0,0,0,0,0.333333,1,0.666667,0,0.25,1,0.5,1,0.5,1,1,1,1]
precision
0.56503 [0.5,1,0,0.5,0.5,1,1,1,1,0.666667,1,1,0.285714,1,1,1,0.666667,0,0.5,0,1,1,0.5,1,0,0,0.333333,0,1,1,1,1,0,1,1,0,1,0.666667,1,0,1,0.5,0,0.5,0.666667,1,1,1,0.5,0,0,0,0.5,1,0.333333,1,0,0,0,0,0.666667,0.5,0,0,0,1,0.5,1,0,0,1,0,1,0.5,0.5,1,0.5,1,0,0,0,0,0.5,0,0,1,0,1,1,0,1,0,1,0.5,1,1,0,1,0,1]
precision
0.53125 [1,0,1,0.666667,1,0,0.4,0.5,0.5,0.666667,0,0.5,0.666667,1,0.25,0,0,0.666667,0.5,0.5,1,0.5,0,0,0,1,0.5,0,0.5,1,0.25,1,0,1,0.5,0.2,0.5,1,0,0.5,1,0,0,0,0.5,1,1,1,1,0,1,1,0,0,0,0.5,1,0,1,0.5,1,0.333333,0.5,1,1,0,0.666667,1,1,0,1,1,1,0,0,1,0,0,1,0.333333,0.333333,0,0,0,0,1,0,0.5,0.5,1,1,0,1,1,0,0.333333,1,1,0.333333,0.5]
precision
0.454063 [1,1,1,0,0,1,0,1,0,0,0.666667,0.5,1,1,0,1,0,0,1,1,1,0,0,1,0,0.5,1,0,1,1,0.333333,0,0,0,0,0,0,0.5,0,0,0.5,0.666667,0.2,0,0,0,1,0.5,1,0,0.5,1,1,0,0,1,1,0,1,1,1,0.333333,1,0.5,1,0,0,0.5,0,0,0,0.5,1,0,0.5,1,0,0,0.666667,0,0,0,0,0,0.5,0.666667,0.5,0,0.5,0,0,0,1,0.5,0.25,0.5,0,1,1,0]
precision
0.595625 [0,0.666667,0,0,0,1,0.25,0,1,0,0.4,0.5,1,1,1,1,0,0.5,1,0.5,1,0,1,0.5,0,0.333333,1,0,0.666667,1,0,1,0,1,1,0.5,1,1,0.333333,0.5,1,0.666667,0,0,1,0.666667,0,1,1,1,0.5,0,0.333333,1,0.5,1,1,0,1,1,1,0,1,1,0,0.25,1,0,0,0.333333,0,0,1,1,1,1,1,1,0.666667,1,1,0,1,0.5,0,1,0,0,1,0,0.333333,0,0.5,1,0.333333,0,0,1,1,0.666667]
precision
0.56 [0,1,0.2,0,0,0,0.2,1,1,1,1,0.333333,0,1,1,0,0,0.666667,0.5,0.333333,1,0,0,1,0,0.25,0,0,0.5,1,0,1,0,1,0,0.333333,1,0.5,0,0.5,0.5,0,0,0,1,1,0,1,0,1,0.5,0.333333,0,0,0.333333,0.333333,1,0,1,1,1,1,1,1,0.5,0.5,0,1,0,0,0,0,0.666667,0,0.5,1,0,1,1,1,1,0.5,0.5,0.5,1,0,0,1,0.5,0.5,1,0,0.666667,1,0,0.666667,0.666667,1,1,1]
precision
0.528264 [0,1,0,1,0,1,0.5,1,0,0,1,0.111111,1,0.333333,0.5,0,0,1,1,0.5,1,0,0.5,1,0,0,0.333333,0,1,1,0,1,0,1,1,0,1,0.666667,0,0.666667,0,0,0,0,1,1,0,1,0.5,0,1,0,0.666667,0.5,0.5,0,1,0,0.333333,1,1,1,0.5,0.5,0,1,0.5,0.333333,1,0,0,0,0.5,0,0,0,0.5,0,0.666667,0,0.5,0.5,1,0,1,0,0,1,1,0.4,0.5,0,1,1,1,0.5,1,0,0.333333,1]
precision
0.578646 [0.333333,1,1,0,0.5,1,0.666667,0.5,0,1,1,1,1,1,0,0.5,1,1,1,1,0.5,0.5,0.333333,0.666667,0,0.5,0.5,0,0,0.5,1,0.333333,0,1,0,0.333333,0,1,1,1,1,1,0,1,0,0,0.25,0,0.5,0.5,0,0.5,0,0.333333,0,0.5,0,1,1,0.666667,0,1,0.666667,1,1,1,0,1,0.5,0,0.5,0,1,0.666667,1,0.666667,0.5,0.666667,1,0,1,0.5,0.333333,0.333333,1,0,0.5,1,0,1,0.5,0,0.5,1,1,1,1,0,1,0]
precision
0.46174 [1,1,0,0,0,0.666667,0.333333,1,0.5,1,0,0,0,0.5,0.333333,1,0,0,0,0.666667,0,0.5,0.5,0.666667,0,0.25,0.333333,0,0.5,0.5,1,0.5,0.333333,0,0,0.25,1,0.5,0.5,0,0,0,0,0,1,0,0,1,0,0.666667,0,0,0,1,0,0.5,0.666667,0,1,1,1,0,0.5,1,0.666667,0.5,0,1,0.5,0,0.5,0,1,0.25,0,1,0.666667,1,0,0,0.666667,0,1,0.5,1,1,0,1,1,0,1,0,1,1,0,0.666667,0.5,1,0,0.666667]
predictive_accuracy
0.4625
predictive_accuracy
0.53125
predictive_accuracy
0.55625
predictive_accuracy
0.51875
predictive_accuracy
0.4625
predictive_accuracy
0.575
predictive_accuracy
0.525
predictive_accuracy
0.51875
predictive_accuracy
0.58125
predictive_accuracy
0.503145
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
0.4625 [0,1,0,0.5,0,0,0,1,0.5,0,0,0.5,1,1,0,1,0.5,1,1,0,1,0,1,0.5,0,1,0,0,1,0,0.5,0.5,0,1,0,0,1,0,0,1,0.5,1,0,0,1,1,0,0,0,1,1,1,0,0.5,1,0.5,1,0,0,1,1,0.5,1,0,0.5,1,0.5,0,0,0,0,0,0,1,0.5,0,1,0.5,1,0,0,1,0,0.5,0,1,0,0,0.5,1,0.5,0.5,1,1,0.5,0.5,0,1,0.5,1]
recall
0.53125 [1,1,1,0.5,0.5,0,0.5,1,0.5,0.5,1,1,1,1,0.5,0,0,1,1,0.5,1,0,1,1,0,0.5,0,0,1,1,0.5,0.5,1,1,0,0,0,1,0,0.5,0,1,0,0,0,1,0.5,1,1,1,1,0.5,1,0.5,0,1,1,0,0,1,1,0.5,1,1,0.5,0.5,0.5,0,1,0,1,0,1,0,1,0.5,0,0,0,1,0,0.5,0,0,0,0,0,0.5,1,1,0,0.5,1,1,0.5,0.5,1,1,0.5,1]
recall
0.55625 [0.5,1,0,0.5,0.5,1,1,1,1,1,1,1,1,0.5,1,0.5,1,0,1,0,1,0.5,0.5,1,0,0,1,0,1,1,0.5,1,0,0.5,0.5,0,1,1,1,0,0.5,1,0,0.5,1,0.5,0.5,1,0.5,0,0,0,1,1,1,0.5,0,0,0,0,1,1,0,0,0,1,1,1,0,0,1,0,1,1,0.5,0.5,0.5,1,0,0,0,0,1,0,0,0.5,0,1,0.5,0,1,0,1,1,1,1,0,1,0,1]
recall
0.51875 [0.5,0,0.5,1,0.5,0,1,0.5,1,1,0,1,1,0.5,0.5,0,0,1,0.5,1,0.5,0.5,0,0,0,0.5,1,0,0.5,1,0.5,1,0,1,0.5,1,1,1,0,1,1,0,0,0,0.5,0.5,1,0.5,1,0,1,0.5,0,0,0,0.5,1,0,1,1,0.5,1,1,1,0.5,0,1,1,1,0,1,0.5,1,0,0,0.5,0,0,0.5,0.5,1,0,0,0,0,1,0,1,0.5,1,1,0,1,1,0,1,0.5,0.5,0.5,1]
recall
0.4625 [0.5,1,0.5,0,0,1,0,0.5,0,0,1,1,1,1,0,1,0,0,1,1,1,0,0,1,0,0.5,0.5,0,1,1,1,0,0,0,0,0,0,0.5,0,0,0.5,1,0.5,0,0,0,0.5,0.5,1,0,1,0.5,1,0,0,0.5,1,0,1,0.5,1,1,0.5,0.5,1,0,0,1,0,0,0,1,1,0,0.5,1,0,0,1,0,0,0,0,0,1,1,0.5,0,1,0,0,0,1,1,1,1,0,1,0.5,0]
recall
0.575 [0,1,0,0,0,1,1,0,1,0,1,1,1,0.5,1,1,0,0.5,0.5,1,0.5,0,0.5,1,0,0.5,0.5,0,1,0.5,0,1,0,1,0.5,1,0.5,1,1,1,1,1,0,0,0.5,1,0,1,1,1,0.5,0,0.5,1,0.5,0.5,1,0,1,1,1,0,0.5,1,0,1,1,0,0,0.5,0,0,1,1,1,1,1,1,1,0.5,0.5,0,0.5,1,0,1,0,0,1,0,1,0,0.5,0.5,1,0,0,1,0.5,1]
recall
0.525 [0,0.5,0.5,0,0,0,1,1,0.5,1,0.5,0.5,0,1,1,0,0,1,1,0.5,0.5,0,0,1,0,0.5,0,0,1,0.5,0,1,0,0.5,0,0.5,0.5,0.5,0,1,1,0,0,0,0.5,0.5,0,1,0,0.5,0.5,1,0,0,0.5,1,0.5,0,1,1,0.5,1,1,0.5,1,1,0,0.5,0,0,0,0,1,0,1,1,0,0.5,1,0.5,0.5,1,0.5,1,0.5,0,0,1,1,0.5,0.5,0,1,1,0,1,1,1,1,1]
recall
0.51875 [0,1,0,1,0,0.5,1,0.5,0,0,0.5,0.5,1,1,1,0,0,0.5,1,0.5,1,0,1,1,0,0,0.5,0,1,1,0,1,0,0.5,0.5,0,1,1,0,1,0,0,0,0,1,1,0,1,0.5,0,1,0,1,1,0.5,0,1,0,0.5,0.5,1,1,0.5,0.5,0,0.5,1,0.5,0.5,0,0,0,0.5,0,0,0,1,0,1,0,0.5,1,0.5,0,0.5,0,0,1,1,1,1,0,0.5,1,1,0.5,1,0,1,0.5]
recall
0.58125 [1,1,1,0,0.5,0.5,1,0.5,0,1,1,1,0.5,1,0,0.5,1,1,1,1,1,0.5,1,1,0,1,0.5,0,0,1,0.5,0.5,0,1,0,0.5,0,1,1,1,1,0.5,0,1,0,0,1,0,0.5,0.5,0,1,0,0.5,0,1,0,0.5,1,1,0,1,1,0.5,0.5,1,0,0.5,0.5,0,0.5,0,1,1,1,1,0.5,1,1,0,0.5,1,0.5,0.5,0.5,0,1,1,0,1,0.5,0,1,1,0.5,0.5,1,0,1,0]
recall
0.503145 [1,1,0,0,0,1,0.5,1,0.5,1,0,0,0,1,0.5,1,0,0,0,1,0,0.5,1,1,0,1,0.5,0,1,1,0.5,1,1,0,0,0.5,0.5,1,0.5,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0.5,0,1,1,0,0.5,0.5,1,0,0.5,1,1,0.5,0,0.5,1,0,0.5,0,1,0.5,0,1,1,1,0,0,1,0,0.5,0.5,1,1,0,0.5,1,0,1,0,1,0.5,0,1,1,1,0,1]
relative_absolute_error
0.568069
relative_absolute_error
0.498838
relative_absolute_error
0.477068
relative_absolute_error
0.506177
relative_absolute_error
0.554073
relative_absolute_error
0.440439
relative_absolute_error
0.509376
relative_absolute_error
0.500808
relative_absolute_error
0.451109
relative_absolute_error
0.524846
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
0.098
root_mean_squared_error
0.091691
root_mean_squared_error
0.08976
root_mean_squared_error
0.092394
root_mean_squared_error
0.097793
root_mean_squared_error
0.086224
root_mean_squared_error
0.091972
root_mean_squared_error
0.092306
root_mean_squared_error
0.088609
root_mean_squared_error
0.095369
root_relative_squared_error
0.984933
root_relative_squared_error
0.921527
root_relative_squared_error
0.90212
root_relative_squared_error
0.928591
root_relative_squared_error
0.982856
root_relative_squared_error
0.866589
root_relative_squared_error
0.924356
root_relative_squared_error
0.927716
root_relative_squared_error
0.890552
root_relative_squared_error
0.9585
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
usercpu_time_millis
520
usercpu_time_millis
250
usercpu_time_millis
260
usercpu_time_millis
260
usercpu_time_millis
260
usercpu_time_millis
260
usercpu_time_millis
260
usercpu_time_millis
260
usercpu_time_millis
250
usercpu_time_millis
260
usercpu_time_millis_testing
20
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_training
500
usercpu_time_millis_training
250
usercpu_time_millis_training
260
usercpu_time_millis_training
250
usercpu_time_millis_training
250
usercpu_time_millis_training
260
usercpu_time_millis_training
260
usercpu_time_millis_training
250
usercpu_time_millis_training
250
usercpu_time_millis_training
250