543028
1160
Random Bot
9955
Supervised Classification
3363
classif.avNNet(8)
4456
repeats
14
3363
bag
TRUE
3363
seed
1
3363
kind
Mersenne-Twister
3363
normal.kind
Inversion
3363
mlr
randomBot
1492
one-hundred-plants-shape
https://www.openml.org/data/download/1592284/php0FyS2T
-1
1851874
description
https://api.openml.org/data/download/1851874/file52cf302b7826
-1
1851875
predictions
https://api.openml.org/data/download/1851875/file52cf53f34cd0
area_under_roc_curve
0.634785 [0.591856,0.619318,0.527778,0.621843,0.775568,0.776199,0.776831,0.525568,0.589962,0.902146,0.591225,0.841856,0.623737,0.624053,0.649937,0.807449,0.934028,0.56029,0.650568,0.559343,0.685922,0.620581,0.621528,0.588699,0.746212,0.680556,0.654356,0.652778,0.621843,0.559343,0.808081,0.529356,0.526831,0.590909,0.778409,0.713384,0.654987,0.590909,0.495896,0.56029,0.528725,0.810922,0.591225,0.588699,0.590909,0.77904,0.495581,0.590593,0.528725,0.529987,0.591225,0.588384,0.495581,0.559028,0.559975,0.714646,0.558396,0.84154,0.590593,0.590909,0.653409,0.807134,0.494949,0.557765,0.556503,0.590593,0.587753,0.686237,0.56029,0.527778,0.588384,0.59154,0.835859,0.746843,0.586806,0.527778,0.555871,0.559343,0.525884,0.679924,0.529356,0.588068,0.715909,0.559659,0.808396,0.591225,0.528093,0.591856,0.527778,0.498737,0.68529,0.965909,0.838699,0.74779,0.589646,0.589331,0.684343,0.52904,0.588068,0.745581]
average_cost
0
f_measure
0.262099 [0.24,0.210526,0.071429,0.266667,0.418605,0.439024,0.461538,0.057143,0.193548,0.619048,0.222222,0.666667,0.333333,0.347826,0.243902,0.47619,0.682927,0.16,0.25641,0.142857,0.444444,0.235294,0.258065,0.171429,0.444444,0.272727,0.37037,0.3125,0.266667,0.142857,0.5,0.086957,0.064516,0.214286,0.529412,0.35,0.4,0.214286,0,0.16,0.08,0.645161,0.222222,0.171429,0.214286,0.5625,0,0.206897,0.08,0.095238,0.222222,0.166667,0,0.137931,0.153846,0.388889,0.129032,0.647059,0.206897,0.214286,0.333333,0.465116,0,0.121212,0.108108,0.206897,0.157895,0.461538,0.16,0.071429,0.166667,0.230769,0.423077,0.470588,0.146341,0.071429,0.102564,0.142857,0.058824,0.26087,0.086957,0.162162,0.4375,0.148148,0.512821,0.222222,0.074074,0.24,0.071429,0,0.413793,0.75,0.511628,0.516129,0.1875,0.181818,0.375,0.083333,0.162162,0.421053]
kappa
0.269571
kb_relative_information_score
440.47496
mean_absolute_error
0.014462
mean_prior_absolute_error
0.0198
number_of_instances
1600 [16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16]
precision
0.267432 [0.333333,0.181818,0.083333,0.285714,0.333333,0.36,0.391304,0.052632,0.2,0.5,0.272727,0.647059,0.5,0.571429,0.2,0.384615,0.56,0.222222,0.217391,0.166667,0.545455,0.222222,0.266667,0.157895,0.4,0.214286,0.454545,0.3125,0.285714,0.166667,0.416667,0.142857,0.066667,0.25,0.5,0.291667,0.555556,0.25,0,0.222222,0.111111,0.666667,0.272727,0.157895,0.25,0.5625,0,0.230769,0.111111,0.2,0.272727,0.15,0,0.153846,0.2,0.35,0.133333,0.611111,0.230769,0.25,0.357143,0.37037,0,0.117647,0.095238,0.230769,0.136364,0.6,0.222222,0.083333,0.15,0.3,0.305556,0.444444,0.12,0.083333,0.086957,0.166667,0.055556,0.2,0.142857,0.142857,0.4375,0.181818,0.434783,0.272727,0.090909,0.333333,0.083333,0,0.461538,0.625,0.407407,0.533333,0.1875,0.176471,0.375,0.125,0.142857,0.363636]
predictive_accuracy
0.276875
prior_entropy
6.643856
recall
0.276875 [0.1875,0.25,0.0625,0.25,0.5625,0.5625,0.5625,0.0625,0.1875,0.8125,0.1875,0.6875,0.25,0.25,0.3125,0.625,0.875,0.125,0.3125,0.125,0.375,0.25,0.25,0.1875,0.5,0.375,0.3125,0.3125,0.25,0.125,0.625,0.0625,0.0625,0.1875,0.5625,0.4375,0.3125,0.1875,0,0.125,0.0625,0.625,0.1875,0.1875,0.1875,0.5625,0,0.1875,0.0625,0.0625,0.1875,0.1875,0,0.125,0.125,0.4375,0.125,0.6875,0.1875,0.1875,0.3125,0.625,0,0.125,0.125,0.1875,0.1875,0.375,0.125,0.0625,0.1875,0.1875,0.6875,0.5,0.1875,0.0625,0.125,0.125,0.0625,0.375,0.0625,0.1875,0.4375,0.125,0.625,0.1875,0.0625,0.1875,0.0625,0,0.375,0.9375,0.6875,0.5,0.1875,0.1875,0.375,0.0625,0.1875,0.5]
relative_absolute_error
0.730429
root_mean_prior_squared_error
0.099499
root_mean_squared_error
0.12026
root_relative_squared_error
1.20866
total_cost
0
area_under_roc_curve
0.63114 [1,0.981132,0.734177,0.5,0.493711,0.743671,0.737342,0.496855,0.493711,0.987421,0.743671,0.746835,0.5,0.5,0.496835,0.496855,1,0.5,0.990566,0.5,0.75,0.5,0.5,0.5,0.75,0.493671,0.740506,0.490566,0.490566,0.75,0.993711,0.990566,0.5,0.5,0.75,0.987342,0.5,0.5,0.5,0.5,0.496855,0.996855,0.5,0.5,0.493671,0.746835,0.490566,0.75,0.5,0.5,0.496855,0.487421,0.496855,0.743671,0.5,0.5,0.5,0.996855,0.5,0.5,0.746835,0.984277,0.5,0.493671,0.496835,0.496835,0.496835,0.996855,0.5,0.5,0.493711,0.5,0.990506,0.490506,0.993711,0.5,0.493671,0.5,0.496835,0.990566,0.5,0.5,0.75,0.490566,0.993711,0.5,0.5,0.75,0.484277,0.5,0.75,1,0.743671,0.996835,0.993711,0.5,0.75,0.5,0.490566,0.5]
area_under_roc_curve
0.646824 [0.493711,0.5,0.5,0.5,0.984277,0.996835,0.5,0.493711,0.993711,1,0.496835,0.746835,0.996855,0.5,0.5,0.5,1,0.990566,0.990566,0.496855,0.5,0.5,0.75,0.746835,0.5,0.737342,0.5,1,0.993711,0.5,0.996855,0.5,0.481132,0.5,0.746835,0.727848,0.5,0.496855,0.5,0.740506,0.496855,1,0.5,0.75,0.746835,0.75,0.496855,0.746835,0.5,0.5,0.496855,0.5,0.496855,0.496835,0.496835,0.5,0.5,0.5,0.5,0.5,0.5,0.496855,0.493671,0.743671,0.496835,0.496835,0.75,0.996855,0.496835,0.5,0.474843,0.993711,0.993671,0.746835,0.496855,0.496835,0.5,0.990506,0.496835,0.987421,0.487421,0.5,0.743671,0.5,0.993711,0.996855,0.5,0.5,0.996855,0.5,0.5,0.996835,0.993671,0.746835,0.987421,0.5,0.75,0.496835,0.496855,0.987342]
area_under_roc_curve
0.608411 [0.496835,0.5,0.496835,0.496855,0.496855,0.990566,0.743671,0.493671,0.5,1,0.5,0.5,0.75,0.5,0.5,0.5,0.746835,0.496835,0.490566,0.490566,0.5,0.75,0.5,0.990566,0.740506,0.5,0.5,1,0.5,0.496835,0.484277,0.5,0.496855,0.490506,0.746835,0.5,0.5,1,0.487342,0.493711,0.496835,0.746835,0.993711,0.5,0.737342,0.5,0.5,0.496835,0.5,0.5,0.5,0.496835,0.487421,0.5,0.737342,0.974684,0.5,0.5,0.5,0.5,0.743671,0.734177,0.481013,0.5,0.490506,0.5,0.5,0.996855,0.740506,0.490506,0.5,0.5,0.987421,0.996855,0.487342,0.5,0.496855,0.5,0.5,0.481013,0.5,0.5,0.996835,0.993711,1,0.5,0.493711,0.5,0.5,0.5,0.743671,1,1,0.996835,0.740506,0.496835,0.993711,0.5,0.490506,0.5]
area_under_roc_curve
0.634265 [0.496835,0.477987,0.5,0.974843,0.5,0.5,1,0.490506,0.496855,0.993671,0.996855,0.996855,0.5,0.5,0.75,0.990566,0.990506,0.5,0.5,0.984277,1,0.746835,0.746835,0.496855,0.5,1,1,0.496855,0.75,0.75,1,0.5,0.5,0.493671,0.75,0.990566,0.496855,0.987421,0.496835,0.496855,0.496835,1,0.996855,0.5,0.5,0.496855,0.496835,0.75,0.490506,0.496855,0.743671,0.496835,0.487421,0.5,0.5,0.496835,0.5,0.996855,0.5,0.5,0.746835,0.75,0.5,0.490506,0.493671,0.493671,0.481132,0.5,0.746835,0.5,0.496835,0.5,0.990566,1,0.490506,0.493711,0.490566,0.490506,0.5,0.990506,0.496855,0.5,0.746835,0.5,0.5,0.746835,0.490566,0.75,0.493711,0.5,0.746835,0.746835,1,0.5,0.5,0.496835,0.490566,0.5,0.746835,0.5]
area_under_roc_curve
0.63737 [0.75,0.743671,0.5,0.5,0.743671,0.990566,0.493671,0.496835,0.75,0.996835,0.990566,0.5,0.993671,0.5,0.987421,0.75,0.996855,0.5,0.5,0.496835,1,0.493671,0.5,0.487421,0.493711,0.496855,0.996855,0.496835,0.5,0.484277,0.993671,0.5,0.490506,0.5,0.996855,0.5,0.75,0.5,0.487421,0.5,0.493671,0.5,0.5,0.496835,0.493711,0.993711,0.5,0.5,1,0.5,0.75,0.490506,0.5,0.496855,0.5,1,0.5,0.746835,0.5,0.496855,0.996855,0.996835,0.496835,0.496835,0.75,1,0.484277,0.75,0.5,0.740506,0.75,0.75,0.987421,0.996855,0.984177,0.487421,0.990566,0.493711,0.5,0.490506,0.746835,0.743671,0.493711,0.5,0.743671,0.5,0.5,0.5,0.496835,0.5,0.493671,0.996835,0.490566,0.5,0.5,0.490566,0.496855,0.5,0.496835,0.996855]
area_under_roc_curve
0.649908 [0.5,0.5,0.496835,0.75,0.993671,0.990566,1,0.5,0.5,0.743671,0.5,0.993711,0.5,0.996835,0.984277,0.993671,1,0.5,0.5,0.5,0.996855,0.493671,0.5,0.5,0.996855,0.987421,0.996855,0.746835,0.75,0.496855,0.75,0.496835,0.743671,0.5,0.993711,0.993711,0.746835,0.746835,0.496855,0.5,0.496835,0.746835,0.490566,0.737342,0.5,0.496855,0.493671,0.5,0.5,0.993711,0.5,0.75,0.493671,0.5,0.5,0.746835,0.993671,1,0.990566,1,0.496855,0.5,0.5,0.743671,0.493671,0.490566,0.490566,0.5,0.5,0.5,0.5,0.493671,0.493711,0.490566,0.493671,0.996855,0.493711,0.493711,0.496835,0.5,0.5,0.727848,0.5,0.5,0.75,0.743671,0.493711,0.5,0.5,0.5,0.996835,0.990506,1,0.5,0.5,0.993711,0.493711,0.493711,0.496835,0.993711]
area_under_roc_curve
0.653391 [0.5,0.5,0.493711,1,0.75,0.746835,0.993711,0.746835,0.746835,0.75,0.5,1,0.5,0.493711,0.987421,0.740506,0.496855,0.5,0.5,0.5,0.743671,0.993711,0.493711,0.743671,0.987421,0.990566,0.5,0.75,0.746835,0.5,0.75,0.5,0.5,0.996855,0.996855,0.5,0.746835,0.5,0.5,0.5,0.5,1,0.496835,0.490566,0.5,1,0.5,0.496855,0.490566,0.5,0.496835,0.5,0.496835,0.981132,0.5,1,0.493711,0.996835,0.490566,0.990566,0.996855,0.75,0.493711,0.487421,0.490566,0.996855,0.5,0.75,0.496855,0.496855,0.5,0.5,0.490506,0.5,0.5,0.496835,0.493671,0.5,0.487421,0.5,0.5,0.487421,1,0.5,0.746835,0.5,0.75,0.993711,0.5,0.487342,1,1,0.746835,0.996855,0.5,0.993711,1,0.737342,0.740506,0.987421]
area_under_roc_curve
0.634006 [0.746835,0.5,0.5,0.496835,0.746835,0.743671,0.993711,0.484177,0.487342,0.75,0.5,0.75,0.5,1,0.496855,0.984177,0.990566,0.5,0.743671,0.5,0.5,0.5,0.996855,0.490506,1,0.493711,0.5,0.493671,0.5,0.490566,0.746835,0.496835,0.5,0.996855,0.996855,0.5,0.5,0.5,0.493711,0.75,0.5,0.5,0.746835,0.496855,1,0.746835,0.493671,0.5,0.493711,0.496835,0.496835,0.993671,0.5,0.496855,0.496855,1,0.481132,0.996835,0.493711,0.493711,0.496855,0.993671,0.5,0.5,0.496855,0.496855,0.746835,0.5,0.5,0.5,0.743671,0.75,1,0.996835,0.5,0.5,0.5,0.5,0.487421,0.746835,0.5,0.984277,0.5,0.737342,0.996835,0.490506,0.493671,0.487421,0.493671,0.5,0.5,0.993711,0.993671,0.493711,0.5,0.493711,0.496835,0.5,0.743671,0.993711]
area_under_roc_curve
0.621746 [0.496855,0.5,0.5,0.5,0.990506,0.75,1,0.5,0.496835,0.987421,0.496835,0.996835,0.5,0.5,0.496835,0.996835,0.993671,0.996855,0.740506,0.75,0.5,0.977987,0.984277,0.493671,0.746835,0.490506,0.746835,0.740506,0.487421,0.5,0.496835,0.496855,0.5,0.75,0.75,0.5,0.746835,0.5,0.5,0.5,0.996855,1,0.5,0.984277,0.5,0.746835,0.490566,0.493711,0.5,0.5,0.496855,0.487421,0.5,0.5,0.993711,0.490566,0.490566,0.743671,0.75,0.5,0.5,0.993711,0.487421,0.496855,0.987421,0.5,0.496835,0.746835,0.5,0.496855,0.490566,0.493711,0.737342,0.5,0.493711,0.493671,0.740506,0.5,0.996855,0.490566,0.5,0.5,0.496835,0.5,0.496835,0.496855,0.496835,0.5,0.5,0.5,0.496855,0.996855,0.743671,1,0.5,0.5,0.496835,0.5,0.493711,1]
area_under_roc_curve
0.633926 [0.5,0.990506,0.493711,0.5,0.743671,0.496835,0.493711,0.490566,0.496835,1,0.5,1,0.496855,1,0.737342,0.746835,1,0.493711,0.737342,0.5,0.743671,0.5,0.493711,0.5,0.996835,0.740506,0.5,0.5,0.5,0.5,0.993671,0.5,0.493671,0.493671,0.493671,0.996835,0.75,0.490506,0.496835,0.496835,0.5,0.993711,0.5,0.493711,0.5,1,0.493711,0.484277,0.5,0.5,0.996855,0.493711,0.496835,0.5,0.5,0.5,0.5,0.75,0.743671,0.740506,0.496835,0.996855,0.496855,0.5,0.493711,0.746835,0.743671,0.5,0.496855,0.490566,0.996855,0.496855,0.75,1,0.490566,0.5,0.484177,0.5,0.484277,0.996855,0.5,0.5,0.743671,0.5,0.987342,0.5,0.5,0.5,0.5,0.5,0.5,1,0.737342,0.996855,0.487421,0.740506,0.75,0.5,0.496855,0.496835]
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
0.217188 [1,0.25,0.25,0,0,0.4,0.285714,0,0,0.333333,0.4,0.5,0,0,0,0,1,0,0.4,0,0.666667,0,0,0,0.666667,0,0.333333,0,0,0.666667,0.5,0.4,0,0,0.666667,0.5,0,0,0,0,0,0.666667,0,0,0,0.5,0,0.666667,0,0,0,0,0,0.4,0,0,0,0.666667,0,0,0.5,0.285714,0,0,0,0,0,0.666667,0,0,0,0,0.571429,0,0.5,0,0,0,0,0.4,0,0,0.666667,0,0.5,0,0,0.666667,0,0,0.666667,1,0.4,0.8,0.5,0,0.666667,0,0,0]
f_measure
0.23125 [0,0,0,0,0.285714,0.8,0,0,0.5,1,0,0.5,0.666667,0,0,0,1,0.4,0.4,0,0,0,0.666667,0.5,0,0.285714,0,1,0.5,0,0.666667,0,0,0,0.5,0.2,0,0,0,0.333333,0,1,0,0.666667,0.5,0.666667,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.4,0,0,0.666667,0.666667,0,0,0,0.5,0.666667,0.5,0,0,0,0.571429,0,0.333333,0,0,0.4,0,0.5,0.666667,0,0,0.666667,0,0,0.8,0.666667,0.5,0.333333,0,0.666667,0,0,0.5]
f_measure
0.172143 [0,0,0,0,0,0.4,0.4,0,0,1,0,0,0.666667,0,0,0,0.5,0,0,0,0,0.666667,0,0.4,0.333333,0,0,1,0,0,0,0,0,0,0.5,0,0,1,0,0,0,0.5,0.5,0,0.285714,0,0,0,0,0,0,0,0,0,0.285714,0.333333,0,0,0,0,0.4,0.25,0,0,0,0,0,0.666667,0.333333,0,0,0,0.333333,0.666667,0,0,0,0,0,0,0,0,0.8,0.5,1,0,0,0,0,0,0.4,1,1,0.8,0.333333,0,0.5,0,0,0]
f_measure
0.240238 [0,0,0,0.2,0,0,1,0,0,0.666667,0.666667,0.666667,0,0,0.666667,0.4,0.571429,0,0,0.285714,1,0.5,0.5,0,0,1,1,0,0.666667,0.666667,1,0,0,0,0.666667,0.4,0,0.333333,0,0,0,1,0.666667,0,0,0,0,0.666667,0,0,0.4,0,0,0,0,0,0,0.666667,0,0,0.5,0.666667,0,0,0,0,0,0,0.5,0,0,0,0.4,1,0,0,0,0,0,0.571429,0,0,0.5,0,0,0.5,0,0.666667,0,0,0.5,0.5,1,0,0,0,0,0,0.5,0]
f_measure
0.234931 [0.666667,0.4,0,0,0.4,0.4,0,0,0.666667,0.8,0.4,0,0.666667,0,0.333333,0.666667,0.666667,0,0,0,1,0,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0.666667,0,0.666667,0,0,0,0,0,0,0,0,0.5,0,0,1,0,0.666667,0,0,0,0,1,0,0.5,0,0,0.666667,0.8,0,0,0.666667,1,0,0.666667,0,0.333333,0.666667,0.666667,0.333333,0.666667,0.444444,0,0.4,0,0,0,0.5,0.4,0,0,0.4,0,0,0,0,0,0,0.8,0,0,0,0,0,0,0,0.666667]
f_measure
0.239167 [0,0,0,0.666667,0.666667,0.4,1,0,0,0.4,0,0.5,0,0.8,0.285714,0.666667,1,0,0,0,0.666667,0,0,0,0.666667,0.333333,0.666667,0.5,0.666667,0,0.666667,0,0.4,0,0.5,0.5,0.5,0.5,0,0,0,0.5,0,0.285714,0,0,0,0,0,0.5,0,0.666667,0,0,0,0.5,0.666667,1,0.4,1,0,0,0,0.4,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0,0.2,0,0,0.666667,0.4,0,0,0,0,0.8,0.571429,1,0,0,0.5,0,0,0,0.5]
f_measure
0.267634 [0,0,0,1,0.666667,0.5,0.5,0.5,0.5,0.666667,0,1,0,0,0.333333,0.333333,0,0,0,0,0.4,0.5,0,0.4,0.333333,0.4,0,0.666667,0.5,0,0.666667,0,0,0.666667,0.666667,0,0.5,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0.25,0,1,0,0.8,0,0.4,0.666667,0.666667,0,0,0,0.666667,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0,0.666667,0.5,0,0,1,1,0.5,0.666667,0,0.5,1,0.285714,0.333333,0.333333]
f_measure
0.224871 [0.5,0,0,0,0.5,0.4,0.5,0,0,0.666667,0,0.666667,0,1,0,0.444444,0.4,0,0.4,0,0,0,0.666667,0,1,0,0,0,0,0,0.5,0,0,0.666667,0.666667,0,0,0,0,0.666667,0,0,0.5,0,1,0.5,0,0,0,0,0,0.666667,0,0,0,1,0,0.8,0,0,0,0.666667,0,0,0,0,0.5,0,0,0,0.4,0.666667,1,0.8,0,0,0,0,0,0.5,0,0.285714,0,0.285714,0.8,0,0,0,0,0,0,0.5,0.666667,0,0,0,0,0,0.4,0.5]
f_measure
0.197758 [0,0,0,0,0.571429,0.666667,1,0,0,0.333333,0,0.8,0,0,0,0.8,0.666667,0.666667,0.333333,0.666667,0,0.222222,0.285714,0,0.5,0,0.5,0.333333,0,0,0,0,0,0.666667,0.666667,0,0.5,0,0,0,0.666667,1,0,0.285714,0,0.5,0,0,0,0,0,0,0,0,0.5,0,0,0.4,0.666667,0,0,0.5,0,0,0.333333,0,0,0.5,0,0,0,0,0.285714,0,0,0,0.333333,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0.4,1,0,0,0,0,0,1]
f_measure
0.228482 [0,0.571429,0,0,0.4,0,0,0,0,1,0,1,0,1,0.285714,0.5,1,0,0.285714,0,0.4,0,0,0,0.8,0.333333,0,0,0,0,0.666667,0,0,0,0,0.8,0.666667,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0.666667,0,0,0,0,0,0,0.666667,0.4,0.333333,0,0.666667,0,0,0,0.5,0.4,0,0,0,0.666667,0,0.666667,1,0,0,0,0,0,0.666667,0,0,0.4,0,0.5,0,0,0,0,0,0,1,0.285714,0.666667,0,0.333333,0.666667,0,0,0]
kappa
0.261946
kappa
0.293375
kappa
0.216832
kappa
0.268225
kappa
0.274448
kappa
0.299574
kappa
0.306377
kappa
0.267763
kappa
0.243171
kappa
0.267561
kb_relative_information_score
42.744659
kb_relative_information_score
47.755571
kb_relative_information_score
35.729382
kb_relative_information_score
43.746841
kb_relative_information_score
44.749024
kb_relative_information_score
48.757753
kb_relative_information_score
49.759936
kb_relative_information_score
43.746841
kb_relative_information_score
39.738112
kb_relative_information_score
43.746841
mean_absolute_error
0.014625
mean_absolute_error
0.014
mean_absolute_error
0.0155
mean_absolute_error
0.0145
mean_absolute_error
0.014375
mean_absolute_error
0.013875
mean_absolute_error
0.01375
mean_absolute_error
0.0145
mean_absolute_error
0.015
mean_absolute_error
0.0145
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
0.0198
number_of_instances
160 [1,1,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,1,1,1,2,2,2,2,2,2,2,1,1,2,1,1,1,2,2,2,1,1,2,2,1,1,2,2,2,2,1,2,2,2,1,1,1,2,2,2,2,1,2,2,2,1,2,2,2,2,2,1,2,2,1,1,2,2,1,2,2,2,2,1,1,2,2,1,1,1,2,2,1,1,2,2,2,2,1,2,2,2,1,2]
number_of_instances
160 [1,1,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,1,1,1,2,2,2,2,2,2,2,1,1,2,1,1,1,2,2,2,1,1,2,2,1,1,2,2,2,2,1,2,2,2,1,1,1,2,2,2,2,1,2,2,2,1,2,2,2,2,2,1,2,2,1,1,2,2,1,2,2,2,2,1,1,2,2,1,1,1,2,2,1,1,2,2,2,2,1,2,2,2,1,2]
number_of_instances
160 [2,1,2,1,1,1,2,2,1,2,1,1,2,2,2,1,2,2,1,1,1,2,2,1,2,2,1,1,2,2,1,2,1,2,2,1,1,1,2,1,2,2,1,2,2,1,2,2,2,1,2,2,1,2,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,2,2,2,1,1,2,1,1,2,2,2,1,2,2,1,1,2,1,2,1,1,2,2,1,2,2,2,1,1,2,2]
number_of_instances
160 [2,1,2,1,1,1,2,2,1,2,1,1,2,2,2,1,2,2,1,1,1,2,2,1,2,2,1,1,2,2,1,2,1,2,2,1,1,1,2,1,2,2,1,2,2,1,2,2,2,1,2,2,1,2,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,2,2,2,1,1,2,1,1,2,2,2,1,2,2,1,1,2,1,2,1,1,2,2,1,2,2,2,1,1,2,2]
number_of_instances
160 [2,2,2,2,2,1,2,2,2,2,1,1,2,2,1,2,1,2,2,2,1,2,2,1,1,1,1,2,2,1,2,2,2,1,1,1,2,2,1,1,2,2,1,2,1,1,2,2,1,1,2,2,2,1,2,2,2,2,1,1,1,2,2,2,2,1,1,2,2,2,2,2,1,1,2,1,1,1,2,2,2,2,1,2,2,2,1,1,2,2,2,2,1,2,2,1,1,1,2,1]
number_of_instances
160 [2,2,2,2,2,1,2,2,2,2,1,1,2,2,1,2,1,2,2,2,1,2,2,1,1,1,1,2,2,1,2,2,2,1,1,1,2,2,1,1,2,2,1,2,1,1,2,2,1,1,2,2,2,1,2,2,2,2,1,1,1,2,2,2,2,1,1,2,2,2,2,2,1,1,2,1,1,1,2,2,2,2,1,2,2,2,1,1,2,2,2,2,1,2,2,1,1,1,2,1]
number_of_instances
160 [2,2,1,2,2,2,1,2,2,2,2,2,2,1,1,2,1,2,2,2,2,1,1,2,1,1,2,2,2,1,2,2,2,1,1,2,2,2,1,2,2,2,2,1,1,2,2,1,1,2,2,2,2,1,1,1,1,2,1,1,1,2,1,1,1,1,2,2,1,1,2,2,2,2,2,2,2,1,1,2,2,1,1,2,2,2,2,1,2,2,1,1,2,1,2,1,2,2,2,1]
number_of_instances
160 [2,2,1,2,2,2,1,2,2,2,2,2,2,1,1,2,1,2,2,2,2,1,1,2,1,1,2,2,2,1,2,2,2,1,1,2,2,2,1,2,2,2,2,1,1,2,2,1,1,2,2,2,2,1,1,1,1,2,1,1,1,2,1,1,1,1,2,2,1,1,2,2,2,2,2,2,2,1,1,2,2,1,1,2,2,2,2,1,2,2,1,1,2,1,2,1,2,2,2,1]
number_of_instances
160 [1,2,1,2,2,2,1,1,2,1,2,2,1,1,2,2,2,1,2,2,2,1,1,2,2,2,2,2,1,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,1,2,2,1,1,1,2,2,2,2,1,1,1,1,2,2,2,1,1,1,1,2,2,1,2,2,2,1,1,2,1,2,2,2,1,2,2,2,2,1,1,2,1,1,2,2,2,1,2]
number_of_instances
160 [1,2,1,2,2,2,1,1,2,1,2,2,1,1,2,2,2,1,2,2,2,1,1,2,2,2,2,2,1,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,1,2,2,1,1,1,2,2,2,2,1,1,1,1,2,2,2,1,1,1,1,2,2,1,2,2,2,1,1,2,1,2,2,2,1,2,2,2,2,1,1,2,1,1,2,2,2,1,2]
precision
0.229955 [1,0.142857,0.166667,0,0,0.333333,0.2,0,0,0.2,0.333333,0.5,0,0,0,0,1,0,0.25,0,1,0,0,0,1,0,0.25,0,0,1,0.333333,0.25,0,0,1,0.333333,0,0,0,0,0,0.5,0,0,0,0.5,0,1,0,0,0,0,0,0.333333,0,0,0,0.5,0,0,0.5,0.166667,0,0,0,0,0,0.5,0,0,0,0,0.4,0,0.333333,0,0,0,0,0.25,0,0,1,0,0.333333,0,0,1,0,0,1,1,0.333333,0.666667,0.333333,0,1,0,0,0]
precision
0.221979 [0,0,0,0,0.166667,0.666667,0,0,0.333333,1,0,0.5,0.5,0,0,0,1,0.25,0.25,0,0,0,1,0.5,0,0.2,0,1,0.333333,0,0.5,0,0,0,0.5,0.125,0,0,0,0.25,0,1,0,1,0.5,1,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,1,0.5,0,0,0,0.333333,0.5,0.5,0,0,0,0.4,0,0.2,0,0,0.333333,0,0.333333,0.5,0,0,0.5,0,0,0.666667,0.5,0.5,0.2,0,1,0,0,0.333333]
precision
0.15875 [0,0,0,0,0,0.25,0.333333,0,0,1,0,0,1,0,0,0,0.5,0,0,0,0,1,0,0.25,0.25,0,0,1,0,0,0,0,0,0,0.5,0,0,1,0,0,0,0.5,0.333333,0,0.2,0,0,0,0,0,0,0,0,0,0.2,0.2,0,0,0,0,0.333333,0.166667,0,0,0,0,0,0.5,0.25,0,0,0,0.2,0.5,0,0,0,0,0,0,0,0,0.666667,0.333333,1,0,0,0,0,0,0.333333,1,1,0.666667,0.25,0,0.333333,0,0,0]
precision
0.25309 [0,0,0,0.111111,0,0,1,0,0,0.5,0.5,0.5,0,0,1,0.25,0.4,0,0,0.166667,1,0.5,0.5,0,0,1,1,0,1,1,1,0,0,0,1,0.25,0,0.2,0,0,0,1,0.5,0,0,0,0,1,0,0,0.333333,0,0,0,0,0,0,0.5,0,0,0.5,1,0,0,0,0,0,0,0.5,0,0,0,0.25,1,0,0,0,0,0,0.4,0,0,0.5,0,0,0.5,0,1,0,0,0.5,0.5,1,0,0,0,0,0,0.5,0]
precision
0.245134 [1,0.333333,0,0,0.333333,0.25,0,0,1,0.666667,0.25,0,0.5,0,0.2,1,0.5,0,0,0,1,0,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0.5,0,1,0,0,0,0,0,0,0,0,0.333333,0,0,1,0,1,0,0,0,0,1,0,0.5,0,0,0.5,0.666667,0,0,1,1,0,1,0,0.25,1,1,0.2,0.5,0.285714,0,0.25,0,0,0,0.5,0.333333,0,0,0.333333,0,0,0,0,0,0,0.666667,0,0,0,0,0,0,0,0.5]
precision
0.229063 [0,0,0,1,0.5,0.25,1,0,0,0.333333,0,0.333333,0,0.666667,0.166667,0.5,1,0,0,0,0.5,0,0,0,0.5,0.2,0.5,0.5,1,0,1,0,0.333333,0,0.333333,0.333333,0.5,0.5,0,0,0,0.5,0,0.2,0,0,0,0,0,0.333333,0,1,0,0,0,0.5,0.5,1,0.25,1,0,0,0,0.333333,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0.125,0,0,1,0.333333,0,0,0,0,0.666667,0.4,1,0,0,0.333333,0,0,0,0.333333]
precision
0.275893 [0,0,0,1,1,0.5,0.333333,0.5,0.5,1,0,1,0,0,0.2,0.25,0,0,0,0,0.333333,0.333333,0,0.333333,0.2,0.25,0,1,0.5,0,1,0,0,0.5,0.5,0,0.5,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0.142857,0,1,0,0.666667,0,0.25,0.5,1,0,0,0,0.5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0,1,0.333333,0,0,1,1,0.5,0.5,0,0.333333,1,0.2,0.25,0.2]
precision
0.215967 [0.5,0,0,0,0.5,0.333333,0.333333,0,0,1,0,1,0,1,0,0.285714,0.25,0,0.333333,0,0,0,0.5,0,1,0,0,0,0,0,0.5,0,0,0.5,0.5,0,0,0,0,1,0,0,0.5,0,1,0.5,0,0,0,0,0,0.5,0,0,0,1,0,0.666667,0,0,0,0.5,0,0,0,0,0.5,0,0,0,0.333333,1,1,0.666667,0,0,0,0,0,0.5,0,0.166667,0,0.2,0.666667,0,0,0,0,0,0,0.333333,0.5,0,0,0,0,0,0.333333,0.333333]
precision
0.195156 [0,0,0,0,0.4,1,1,0,0,0.2,0,0.666667,0,0,0,0.666667,0.5,0.5,0.25,1,0,0.125,0.166667,0,0.5,0,0.5,0.25,0,0,0,0,0,1,1,0,0.5,0,0,0,0.5,1,0,0.166667,0,0.5,0,0,0,0,0,0,0,0,0.333333,0,0,0.333333,1,0,0,0.333333,0,0,0.2,0,0,0.5,0,0,0,0,0.2,0,0,0,0.25,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0.333333,1,0,0,0,0,0,1]
precision
0.21875 [0,0.4,0,0,0.333333,0,0,0,0,1,0,1,0,1,0.2,0.5,1,0,0.2,0,0.333333,0,0,0,0.666667,0.25,0,0,0,0,0.5,0,0,0,0,0.666667,1,0,0,0,0,0.333333,0,0,0,1,0,0,0,0,0.5,0,0,0,0,0,0,1,0.333333,0.25,0,0.5,0,0,0,0.5,0.333333,0,0,0,0.5,0,1,1,0,0,0,0,0,0.5,0,0,0.333333,0,0.333333,0,0,0,0,0,0,1,0.2,0.5,0,0.25,1,0,0,0]
predictive_accuracy
0.26875
predictive_accuracy
0.3
predictive_accuracy
0.225
predictive_accuracy
0.275
predictive_accuracy
0.28125
predictive_accuracy
0.30625
predictive_accuracy
0.3125
predictive_accuracy
0.275
predictive_accuracy
0.25
predictive_accuracy
0.275
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
recall
0.26875 [1,1,0.5,0,0,0.5,0.5,0,0,1,0.5,0.5,0,0,0,0,1,0,1,0,0.5,0,0,0,0.5,0,0.5,0,0,0.5,1,1,0,0,0.5,1,0,0,0,0,0,1,0,0,0,0.5,0,0.5,0,0,0,0,0,0.5,0,0,0,1,0,0,0.5,1,0,0,0,0,0,1,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0.5,0,1,0,0,0.5,0,0,0.5,1,0.5,1,1,0,0.5,0,0,0]
recall
0.3 [0,0,0,0,1,1,0,0,1,1,0,0.5,1,0,0,0,1,1,1,0,0,0,0.5,0.5,0,0.5,0,1,1,0,1,0,0,0,0.5,0.5,0,0,0,0.5,0,1,0,0.5,0.5,0.5,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0.5,1,0,0,0,1,1,0.5,0,0,0,1,0,1,0,0,0.5,0,1,1,0,0,1,0,0,1,1,0.5,1,0,0.5,0,0,1]
recall
0.225 [0,0,0,0,0,1,0.5,0,0,1,0,0,0.5,0,0,0,0.5,0,0,0,0,0.5,0,1,0.5,0,0,1,0,0,0,0,0,0,0.5,0,0,1,0,0,0,0.5,1,0,0.5,0,0,0,0,0,0,0,0,0,0.5,1,0,0,0,0,0.5,0.5,0,0,0,0,0,1,0.5,0,0,0,1,1,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0.5,1,1,1,0.5,0,1,0,0,0]
recall
0.275 [0,0,0,1,0,0,1,0,0,1,1,1,0,0,0.5,1,1,0,0,1,1,0.5,0.5,0,0,1,1,0,0.5,0.5,1,0,0,0,0.5,1,0,1,0,0,0,1,1,0,0,0,0,0.5,0,0,0.5,0,0,0,0,0,0,1,0,0,0.5,0.5,0,0,0,0,0,0,0.5,0,0,0,1,1,0,0,0,0,0,1,0,0,0.5,0,0,0.5,0,0.5,0,0,0.5,0.5,1,0,0,0,0,0,0.5,0]
recall
0.28125 [0.5,0.5,0,0,0.5,1,0,0,0.5,1,1,0,1,0,1,0.5,1,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0.5,0,0,0,0,0,0,0,0,1,0,0,1,0,0.5,0,0,0,0,1,0,0.5,0,0,1,1,0,0,0.5,1,0,0.5,0,0.5,0.5,0.5,1,1,1,0,1,0,0,0,0.5,0.5,0,0,0.5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1]
recall
0.30625 [0,0,0,0.5,1,1,1,0,0,0.5,0,1,0,1,1,1,1,0,0,0,1,0,0,0,1,1,1,0.5,0.5,0,0.5,0,0.5,0,1,1,0.5,0.5,0,0,0,0.5,0,0.5,0,0,0,0,0,1,0,0.5,0,0,0,0.5,1,1,1,1,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0.5,0,0,0.5,0.5,0,0,0,0,1,1,1,0,0,1,0,0,0,1]
recall
0.3125 [0,0,0,1,0.5,0.5,1,0.5,0.5,0.5,0,1,0,0,1,0.5,0,0,0,0,0.5,1,0,0.5,1,1,0,0.5,0.5,0,0.5,0,0,1,1,0,0.5,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,1,0,1,0,1,1,0.5,0,0,0,1,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0,0.5,1,0,0,1,1,0.5,1,0,1,1,0.5,0.5,1]
recall
0.275 [0.5,0,0,0,0.5,0.5,1,0,0,0.5,0,0.5,0,1,0,1,1,0,0.5,0,0,0,1,0,1,0,0,0,0,0,0.5,0,0,1,1,0,0,0,0,0.5,0,0,0.5,0,1,0.5,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0.5,0,0,0,0.5,0.5,1,1,0,0,0,0,0,0.5,0,1,0,0.5,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0.5,1]
recall
0.25 [0,0,0,0,1,0.5,1,0,0,1,0,1,0,0,0,1,1,1,0.5,0.5,0,1,1,0,0.5,0,0.5,0.5,0,0,0,0,0,0.5,0.5,0,0.5,0,0,0,1,1,0,1,0,0.5,0,0,0,0,0,0,0,0,1,0,0,0.5,0.5,0,0,1,0,0,1,0,0,0.5,0,0,0,0,0.5,0,0,0,0.5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0.5,1,0,0,0,0,0,1]
recall
0.275 [0,1,0,0,0.5,0,0,0,0,1,0,1,0,1,0.5,0.5,1,0,0.5,0,0.5,0,0,0,1,0.5,0,0,0,0,1,0,0,0,0,1,0.5,0,0,0,0,1,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0.5,0.5,0.5,0,1,0,0,0,0.5,0.5,0,0,0,1,0,0.5,1,0,0,0,0,0,1,0,0,0.5,0,1,0,0,0,0,0,0,1,0.5,1,0,0.5,0.5,0,0,0]
relative_absolute_error
0.738636
relative_absolute_error
0.707071
relative_absolute_error
0.782828
relative_absolute_error
0.732323
relative_absolute_error
0.72601
relative_absolute_error
0.700758
relative_absolute_error
0.694444
relative_absolute_error
0.732323
relative_absolute_error
0.757576
relative_absolute_error
0.732323
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
0.120934
root_mean_squared_error
0.118322
root_mean_squared_error
0.124499
root_mean_squared_error
0.120416
root_mean_squared_error
0.119896
root_mean_squared_error
0.117792
root_mean_squared_error
0.11726
root_mean_squared_error
0.120416
root_mean_squared_error
0.122474
root_mean_squared_error
0.120416
root_relative_squared_error
1.215431
root_relative_squared_error
1.189177
root_relative_squared_error
1.251262
root_relative_squared_error
1.210226
root_relative_squared_error
1.204998
root_relative_squared_error
1.183856
root_relative_squared_error
1.178511
root_relative_squared_error
1.210226
root_relative_squared_error
1.230915
root_relative_squared_error
1.210226
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