238697
2
Joaquin Vanschoren
4648
Supervised Classification
predictive_accuracy
1094
weka.JRip(4)
1864
weka.classifiers.rules.JRip -- -F 3 -N 2.0 -O 2 -S 1
F
3
1094
N
2.0
1094
O
2
1094
S
1
1094
weka
weka_3.7.12
1109
lymphoma_11classes
https://www.openml.org/data/download/53992/lymphoma_11classes.arff
-1
794960
description
https://api.openml.org/data/download/794960/weka_generated_run3778259709080985774.xml
-1
794963
model_readable
https://api.openml.org/data/download/794963/WekaModel_weka.classifiers.rules.JRip5873595544410602816.model
-1
794962
model_serialized
https://api.openml.org/data/download/794962/WekaSerialized_weka.classifiers.rules.JRip1055514462259149824.model
-1
794961
predictions
https://api.openml.org/data/download/794961/weka_generated_predictions7180570166391951468.arff
area_under_roc_curve
0.735999 [0.750731,0.71439,0.360526,0.704441,0.452633,0.813831,0.758769,0.839278,0.701699,0.575,0.790209]
average_cost
0
f_measure
0.520189 [0.571429,0.530534,0,0,0,0.622951,0.534483,0.633333,0.466258,0.117647,0.660099]
kappa
0.43125
kb_relative_information_score
400.361855
mean_absolute_error
0.097395
mean_prior_absolute_error
0.155126
number_of_instances
960 [220,230,10,20,20,100,60,60,90,40,110]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.521743 [0.553191,0.472789,0,0,0,0.686747,0.553571,0.633333,0.520548,0.111111,0.72043]
predictive_accuracy
0.526042
prior_entropy
3.089168
recall
0.526042 [0.590909,0.604348,0,0,0,0.57,0.516667,0.633333,0.422222,0.125,0.609091]
relative_absolute_error
0.627844
root_mean_prior_squared_error
0.277562
root_mean_squared_error
0.271579
root_relative_squared_error
0.978444
scimark_benchmark
1325.50874 [811.2747702575753, 958.2074025799751, 524.8004995102859, 1114.0841831164175, 3219.1768431865976]
total_cost
0
usercpu_time_millis
2440
usercpu_time_millis_testing
0
usercpu_time_millis_training
2440
area_under_roc_curve
0.643651 [0.75,0.404762,0.0,0.277778,0.0,1,0.0,0.444444,1,0.0,1]
area_under_roc_curve
0.914583 [0.9375,0.96875,0.0,0.0,0.0,0.944444,1,1,0.388889,1,1]
area_under_roc_curve
0.845238 [0.928571,1,0.0,0.0,0.0,0.333333,1,0.0,0.333333,0.0,1]
area_under_roc_curve
0.831944 [0.5625,0.875,0.0,0.0,0.0,0.944444,1,1,1,0.5,1]
area_under_roc_curve
0.638095 [1,0.571429,0.0,0.0,0.0,0.5,0.5,0.333333,0.0,0.333333,1]
area_under_roc_curve
0.623016 [0.547619,0.714286,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.5,0.944444]
area_under_roc_curve
0.765476 [0.690476,0.625,0.0,0.0,0.0,1,0.944444,1,0.388889,0.0,1]
area_under_roc_curve
0.740774 [0.8125,0.809524,0.0,0.0,0.0,1,0.0,0.0,0.666667,0.5,0.59375]
area_under_roc_curve
0.873016 [1,0.761905,0.5,0.0,0.0,1,0.0,0.0,0.944444,0.0,1]
area_under_roc_curve
0.713393 [0.690476,0.53125,0.0,0.0,0.0,0.5,0.944444,1,0.944444,0.0,0.611111]
area_under_roc_curve
0.826488 [0.65625,0.928571,0.0,0.888889,0.0,1,0.0,0.277778,1,0.0,1]
area_under_roc_curve
0.765278 [0.875,0.5625,0.0,0.0,0.0,1,0.944444,0.944444,0.5,0.388889,1]
area_under_roc_curve
0.779563 [0.880952,0.4375,0.0,0.0,0.0,0.944444,1,0.0,0.333333,0.0,1]
area_under_roc_curve
0.805556 [0.9375,0.5625,0.0,0.0,0.0,1,0.333333,0.944444,0.888889,0.888889,1]
area_under_roc_curve
0.64127 [0.5,0.619048,0.0,0.0,0.0,0.666667,0.0,1,1,0.666667,0.222222]
area_under_roc_curve
0.850694 [0.833333,0.78125,0.0,0.0,0.0,0.944444,0.0,1,1,0.5,1]
area_under_roc_curve
0.737599 [0.761905,0.65625,0.0,0.0,0.0,0.944444,0.944444,1,0.444444,0.0,0.444444]
area_under_roc_curve
0.872222 [1,1,0.0,0.0,0.388889,0.944444,0.0,0.0,1,0.388889,1]
area_under_roc_curve
0.794444 [0.65625,0.65625,0.0,0.0,0.444444,1,0.0,1,1,0.0,0.9375]
area_under_roc_curve
0.624802 [0.642857,0.6875,0.0,0.0,0.0,0.666667,0.5,1,0.111111,0.0,0.666667]
area_under_roc_curve
0.778175 [0.875,0.547619,0.0,0.0,0.0,1,0.0,1,0.944444,0.5,0.944444]
area_under_roc_curve
0.976389 [1,0.9375,0.0,0.0,0.0,1,1,1,1,0.888889,1]
area_under_roc_curve
0.723611 [0.625,0.9375,0.0,0.0,0.333333,0.944444,0.5,1,0.333333,0.0,1]
area_under_roc_curve
0.599802 [0.8125,0.47619,0.0,0.0,0.0,0.277778,0.944444,0.388889,0.0,0.333333,1]
area_under_roc_curve
0.920833 [0.9375,0.833333,0.0,0.0,0.0,1,0.0,1,0.944444,0.888889,1]
area_under_roc_curve
0.869444 [0.96875,0.65625,0.0,0.0,0.0,1,0.5,1,0.944444,1,1]
area_under_roc_curve
0.820139 [0.96875,0.9375,0.0,0.0,0.333333,0.777778,0.333333,1,0.944444,0.0,1]
area_under_roc_curve
0.776984 [1,0.571429,0.0,0.0,0.777778,0.5,0.777778,0.0,0.0,0.0,1]
area_under_roc_curve
0.601389 [1,0.8125,0.0,0.0,0.388889,0.166667,0.444444,0.222222,0.0,0.666667,0.5]
area_under_roc_curve
0.741667 [1,0.625,0.0,0.0,0.388889,0.944444,1,0.333333,1,0.0,0.5]
area_under_roc_curve
0.725694 [0.65625,0.6875,0.0,0.0,0.0,1,0.0,1,0.5,0.444444,0.8125]
area_under_roc_curve
0.624306 [0.75,0.59375,0.5,0.0,0.0,0.777778,0.777778,0.222222,0.777778,0.0,0.5]
area_under_roc_curve
0.5125 [0.375,0.6875,0.5,0.0,0.666667,0.666667,0.5,0.555556,0.0,0.0,0.111111]
area_under_roc_curve
0.828571 [0.75,0.928571,0.0,0.0,0.0,1,1,0.0,1,0.722222,0.277778]
area_under_roc_curve
0.682738 [0.928571,0.9375,0.0,0.0,0.333333,0.277778,0.0,0.277778,0.277778,0.0,1]
area_under_roc_curve
0.748611 [0.9375,1,0.0,0.0,0.388889,1,0.944444,0.5,0.333333,0.0,0.444444]
area_under_roc_curve
0.675 [0.96875,0.65625,0.0,0.0,0.388889,1,0.944444,0.0,0.388889,0.5,0.277778]
area_under_roc_curve
0.759127 [0.928571,0.625,0.5,0.0,0.0,0.888889,1,0.0,0.722222,0.0,0.444444]
area_under_roc_curve
0.774306 [0.96875,0.625,0.0,0.0,0.0,0.5,0.944444,1,0.944444,0.5,0.666667]
area_under_roc_curve
0.588194 [0.4375,0.53125,0.0,0.944444,0.333333,0.222222,0.0,1,0.0,0.444444,1]
area_under_roc_curve
0.629167 [0.6875,0.375,0.0,0.0,0.0,0.5,0.944444,1,0.444444,0.944444,0.333333]
area_under_roc_curve
0.682639 [0.59375,0.875,0.0,0.0,0.277778,1,0.5,1,0.944444,0.0,0.166667]
area_under_roc_curve
0.789583 [0.6875,0.59375,0.0,0.333333,0.0,1,1,1,1,0.0,1]
area_under_roc_curve
0.477083 [0.46875,0.5,0.0,0.833333,0.0,0.444444,0.5,0.0,0.277778,0.0,0.277778]
area_under_roc_curve
0.607143 [0.357143,1,0.0,0.0,0.388889,0.833333,0.0,0.333333,0.444444,0.0,1]
area_under_roc_curve
0.886111 [0.9375,0.9375,0.0,0.0,0.888889,1,1,1,0.888889,0.0,0.333333]
area_under_roc_curve
0.689683 [0.75,0.595238,0.0,0.0,0.0,0.777778,0.444444,0.0,1,0.388889,1]
area_under_roc_curve
0.927083 [0.96875,0.75,0.0,0.944444,0.0,1,1,1,0.944444,0.0,0.944444]
area_under_roc_curve
0.747222 [0.9375,0.9375,0.0,0.0,0.0,1,0.5,1,0.388889,0.333333,0.5]
area_under_roc_curve
0.757639 [0.78125,0.8125,0.0,0.944444,0.0,1,0.0,0.777778,0.222222,0.5,0.944444]
area_under_roc_curve
0.579167 [0.375,0.6875,0.5,0.0,0.0,1,0.666667,0.0,0.444444,0.5,0.555556]
area_under_roc_curve
0.663889 [0.96875,0.65625,0.0,0.0,0.388889,0.944444,0.333333,0.333333,0.388889,0.0,1]
area_under_roc_curve
0.766667 [0.875,0.625,0.0,0.833333,0.0,0.5,1,1,0.833333,0.0,0.5]
area_under_roc_curve
0.845833 [0.9375,0.875,0.0,0.888889,0.0,0.444444,1,0.0,0.5,0.0,1]
area_under_roc_curve
0.826389 [0.75,0.9375,0.5,0.0,0.0,1,0.944444,0.944444,1,0.0,0.5]
area_under_roc_curve
0.793056 [1,0.9375,0.5,0.0,0.0,1,0.333333,0.777778,0.944444,0.0,0.5]
area_under_roc_curve
0.5875 [0.9375,0.333333,0.5,0.0,0.0,0.833333,0.0,0.0,0.222222,0.444444,1]
area_under_roc_curve
0.879167 [0.875,0.9375,0.0,0.833333,0.0,0.5,1,1,0.833333,0.0,1]
area_under_roc_curve
0.766667 [0.75,0.75,0.0,0.0,0.0,0.5,0.944444,1,0.722222,0.5,1]
area_under_roc_curve
0.608333 [0.59375,0.53125,0.5,0.0,0.0,1,0.0,0.333333,1,0.444444,0.555556]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.769841 [0.928571,0.785714,0.0,0.0,0.0,0.5,0.0,1,0.75,0.75,0.5]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.635913 [0.785714,0.857143,0.0,0.0,0.0,0.25,0.4375,0.5,0.25,0.0,1]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.659722 [0.416667,0.75,0.0,0.0,0.0,1,0.0,0.0,0.9375,0.0,0.5]
area_under_roc_curve
0.595899 [0.285714,0.472222,0.0,0.0,0.0,1,0.5,0.0,0.875,0.0,1]
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f_measure
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f_measure
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0.45 [1,0.5,0,0,0,0,0,0,0,0,1]
f_measure
0.396667 [0.5,0.6,0,0,0,0,0,0,0,0,0.666667]
f_measure
0.586667 [0.4,0.5,0,0,0,1,0.666667,1,0,0,1]
f_measure
0.447619 [0.571429,0.666667,0,0,0,0,0,0,0,0,0.666667]
f_measure
0.806667 [1,0.8,0,0,0,1,0,0,0.666667,0,1]
f_measure
0.45 [0.5,0.333333,0,0,0,0,0.666667,1,0.666667,0,0]
f_measure
0.637143 [0.4,0.857143,0,0,0,1,0,0,1,0,1]
f_measure
0.5 [0.666667,0.5,0,0,0,1,0.666667,0,0,0,1]
f_measure
0.566667 [0.666667,0,0,0,0,0.666667,1,0,0,0,1]
f_measure
0.506667 [0.8,0.4,0,0,0,1,0,0.666667,0,0,1]
f_measure
0.257143 [0.285714,0,0,0,0,0,0,1,1,0,0]
f_measure
0.686667 [0.8,0.4,0,0,0,0.666667,0,1,1,0,1]
f_measure
0.366667 [0.666667,0,0,0,0,0,0.666667,1,0,0,0]
f_measure
0.766667 [1,1,0,0,0,0.666667,0,0,1,0,1]
f_measure
0.693333 [0.5,0.666667,0,0,0,1,0,1,1,0,0.8]
f_measure
0.308889 [0.4,0.444444,0,0,0,0,0,1,0,0,0]
f_measure
0.553333 [0.5,0.4,0,0,0,1,0,1,0.666667,0,0.666667]
f_measure
0.86 [1,0.8,0,0,0,1,1,1,1,0,1]
f_measure
0.506667 [0.4,0.8,0,0,0,0.666667,0,1,0,0,1]
f_measure
0.266667 [0,0.333333,0,0,0,0,0.666667,0,0,0,1]
f_measure
0.766667 [0.8,0.8,0,0,0,1,0,1,0.666667,0,1]
f_measure
0.7 [0.666667,0.5,0,0,0,1,0,1,0.666667,1,1]
f_measure
0.56 [0.666667,0.8,0,0,0,0,0,1,0.666667,0,1]
f_measure
0.55 [1,0.5,0,0,0,0,0,0,0,0,1]
f_measure
0.314286 [1,0.571429,0,0,0,0,0,0,0,0,0]
f_measure
0.566667 [1,0.5,0,0,0,0.666667,1,0,1,0,0]
f_measure
0.314286 [0.5,0,0,0,0,0,0,1,0,0,0.571429]
f_measure
0.137143 [0.4,0.285714,0,0,0,0,0,0,0,0,0]
f_measure
0.088889 [0,0.444444,0,0,0,0,0,0,0,0,0]
f_measure
0.690476 [0.666667,0.857143,0,0,0,1,1,0,1,0,0]
f_measure
0.517143 [0.857143,0.8,0,0,0,0,0,0,0,0,1]
f_measure
0.526667 [0.8,1,0,0,0,1,0.666667,0,0,0,0]
f_measure
0.4 [0.666667,0.5,0,0,0,1,0.666667,0,0,0,0]
f_measure
0.540476 [0.857143,0.666667,0,0,0,0.5,1,0,0,0,0]
f_measure
0.446667 [0.666667,0.4,0,0,0,0,0.666667,1,0.666667,0,0]
f_measure
0.28 [0,0.4,0,0,0,0,0,1,0,0,1]
f_measure
0.333333 [0.5,0,0,0,0,0,0.666667,1,0,0.666667,0]
f_measure
0.4 [0,0.666667,0,0,0,1,0,1,0.666667,0,0]
f_measure
0.58 [0,0.4,0,0,0,1,1,1,1,0,1]
f_measure
0.166667 [0.333333,0.333333,0,0,0,0,0,0,0,0,0]
f_measure
0.34 [0,1,0,0,0,0.4,0,0,0,0,1]
f_measure
0.643333 [0.666667,0.8,0,0,0,1,1,1,0.5,0,0]
f_measure
0.4 [0.4,0.4,0,0,0,0,0,0,1,0,1]
f_measure
0.666667 [0.666667,0.5,0,0,0,1,1,1,0.666667,0,0.666667]
f_measure
0.52 [0.8,0.8,0,0,0,1,0,1,0,0,0]
f_measure
0.380952 [0.5,0.571429,0,0,0,1,0,0,0,0,0.666667]
f_measure
0.188889 [0,0.444444,0,0,0,1,0,0,0,0,0]
f_measure
0.4 [0.666667,0.5,0,0,0,0.666667,0,0,0,0,1]
f_measure
0.4 [0.666667,0.333333,0,0,0,0,1,1,0,0,0]
f_measure
0.593333 [0.8,0.666667,0,0,0,0,1,0,0,0,1]
f_measure
0.56 [0.666667,0.8,0,0,0,1,0,0.666667,1,0,0]
f_measure
0.46 [1,0.8,0,0,0,1,0,0,0,0,0]
f_measure
0.26 [0.8,0,0,0,0,0,0,0,0,0,1]
f_measure
0.593333 [0.666667,0.8,0,0,0,0,1,1,0,0,1]
f_measure
0.4 [0.5,0.5,0,0,0,0,0,1,0,0,1]
f_measure
0.36 [0.4,0.4,0,0,0,1,0,0,1,0,0]
f_measure
0.333333 [0.666667,0,0,0,0,0,0,0,0,0,1]
f_measure
0.525926 [0.8,0.666667,0,0,0,0,0,0,0,0,0.5]
f_measure
0.415873 [0.8,0.571429,0,0,0,0,0,1,0,0,0]
f_measure
0.481481 [0.666667,0.5,0,0,0,1,0,0,0,0,1]
f_measure
0.666667 [0.5,0.5,0,0,0,1,1,0,0.666667,0,0.666667]
f_measure
0.518519 [1,0.333333,0,0,0,0,1,1,0,0,0]
f_measure
0.655556 [0.666667,0.8,0,0,0,0.5,0,0,0.666667,0,1]
f_measure
0.37037 [0.5,0.666667,0,0,0,0,0,0,0,0,1]
f_measure
0.733333 [0.666667,0.8,0,0,0,0,0.666667,1,1,0,1]
f_measure
0.474074 [0,0.5,0,0,0,0.666667,0,0,1,0,0.8]
f_measure
0.222222 [0,0.666667,0,0,0,0,0.666667,0,0,0,0]
f_measure
0.774603 [0.857143,0.8,0,0,0,1,0,0,0,0,1]
f_measure
0.496296 [0,0.4,0,0,0,1,0,0,1,1,0.666667]
f_measure
0.274074 [0,0.4,0,0,0,1,0,0.666667,0,0,0]
f_measure
0.622222 [0.8,0.666667,0,0,0,1,0,0,0.666667,0,1]
f_measure
0.488889 [0.8,0.4,0,0,0,1,0,0,1,0,0]
f_measure
0.203704 [0,0.25,0,0,0,0,0,0,0,0,0.666667]
f_measure
0.274074 [0,0.4,0,0,0,1,0,0.666667,0,0,0]
f_measure
0.185185 [0,0,0,0,0,1,0.666667,0,0,0,0]
f_measure
0.42328 [0.571429,0,0,0,0,0,0.666667,0,1,0,1]
f_measure
0.37037 [0.666667,0,0,0,0,1,1,0,0,0,0]
f_measure
0.285714 [0.285714,0.333333,0,0,0,1,0,0,0,0,0]
f_measure
0.222222 [0,0.333333,0,0,0,0,0,0,0,0,1]
f_measure
0.42963 [0.4,0.333333,0,0,0,0,0,1,0,0,1]
f_measure
0.222222 [0.5,0.5,0,0,0,0,0,0,0,0,0]
f_measure
0.666667 [1,0.8,0,0,0,0,0,0,0,0,0.8]
f_measure
0.481481 [0.5,0.666667,0,0,0,1,0,0,1,0,0]
f_measure
0.592593 [1,0.666667,0,0,0,0,0,0,1,0,1]
f_measure
0.375661 [0.333333,0.571429,0,0,0,1,0,0,0,0,0]
f_measure
0.577778 [0.4,0.8,0,0,0,0,0,0,1,0,1]
f_measure
0.592593 [0.666667,0.5,0,0,0,1,0,1,0,0,1]
f_measure
0.611111 [0.8,0.8,0,0,0,1,0,0,0,0,0.5]
f_measure
0.185185 [0.333333,0,0,0,0,1,0,0,0,0,0]
f_measure
0.533333 [0.666667,0.4,0,0,0,1,0,0,0,0,1]
f_measure
0.481481 [0,0.666667,0,0,0,1,1,0,0,0,1]
f_measure
0.582011 [1,0.857143,0,0,0,0,0,0,0.666667,0,0]
f_measure
0.444444 [0.666667,0.5,0,0,0,0,0,0.666667,0,0,1]
f_measure
0.777778 [1,0.5,0,0,0,1,0,1,1,1,0]
f_measure
0.540741 [0.4,0.666667,0,0,0,1,0,0,0.666667,0,0]
f_measure
0.222222 [0,0,0,0,0,1,0,0,0,0,1]
kappa
0.277108
kappa
0.767442
kappa
0.74026
kappa
0.651163
kappa
0.358974
kappa
0.324324
kappa
0.529412
kappa
0.358974
kappa
0.753086
kappa
0.404762
kappa
0.620253
kappa
0.52381
kappa
0.5
kappa
0.52381
kappa
0.186047
kappa
0.638554
kappa
0.310345
kappa
0.759036
kappa
0.647059
kappa
0.240506
kappa
0.52381
kappa
0.882353
kappa
0.52381
kappa
0.156627
kappa
0.759036
kappa
0.659091
kappa
0.54023
kappa
0.466667
kappa
0.277108
kappa
0.54023
kappa
0.268293
kappa
0.047619
kappa
0.058824
kappa
0.634146
kappa
0.5
kappa
0.534884
kappa
0.310345
kappa
0.506173
kappa
0.425287
kappa
0.176471
kappa
0.302326
kappa
0.418605
kappa
0.529412
kappa
0.012346
kappa
0.325843
kappa
0.651163
kappa
0.277108
kappa
0.655172
kappa
0.52381
kappa
0.39759
kappa
0.166667
kappa
0.325843
kappa
0.390244
kappa
0.62963
kappa
0.545455
kappa
0.431818
kappa
0.166667
kappa
0.638554
kappa
0.390244
kappa
0.285714
kappa
0.205882
kappa
0.428571
kappa
0.4375
kappa
0.454545
kappa
0.597015
kappa
0.454545
kappa
0.597015
kappa
0.328358
kappa
0.735294
kappa
0.454545
kappa
0.228571
kappa
0.704918
kappa
0.485714
kappa
0.205882
kappa
0.608696
kappa
0.462687
kappa
0.030769
kappa
0.228571
kappa
0.086957
kappa
0.462687
kappa
0.328358
kappa
0.114754
kappa
0.030769
kappa
0.296875
kappa
0.125
kappa
0.584615
kappa
0.454545
kappa
0.590909
kappa
0.25
kappa
0.462687
kappa
0.590909
kappa
0.584615
kappa
0.045455
kappa
0.428571
kappa
0.347826
kappa
0.571429
kappa
0.454545
kappa
0.735294
kappa
0.428571
kappa
0.059701
kb_relative_information_score
3.265814
kb_relative_information_score
7.226779
kb_relative_information_score
5.265015
kb_relative_information_score
6.359615
kb_relative_information_score
3.125177
kb_relative_information_score
3.161497
kb_relative_information_score
5.536551
kb_relative_information_score
3.604573
kb_relative_information_score
6.113504
kb_relative_information_score
4.333767
kb_relative_information_score
5.35896
kb_relative_information_score
4.929519
kb_relative_information_score
5.065242
kb_relative_information_score
4.994628
kb_relative_information_score
2.456891
kb_relative_information_score
5.986201
kb_relative_information_score
3.659717
kb_relative_information_score
6.125424
kb_relative_information_score
6.401819
kb_relative_information_score
2.583683
kb_relative_information_score
5.252586
kb_relative_information_score
7.887209
kb_relative_information_score
4.896794
kb_relative_information_score
2.226442
kb_relative_information_score
6.929083
kb_relative_information_score
6.82866
kb_relative_information_score
4.838904
kb_relative_information_score
3.771271
kb_relative_information_score
2.202945
kb_relative_information_score
5.003802
kb_relative_information_score
3.902193
kb_relative_information_score
0.958033
kb_relative_information_score
0.790652
kb_relative_information_score
5.52572
kb_relative_information_score
3.740795
kb_relative_information_score
4.387633
kb_relative_information_score
3.177009
kb_relative_information_score
4.266125
kb_relative_information_score
4.54772
kb_relative_information_score
2.722213
kb_relative_information_score
4.059007
kb_relative_information_score
4.195541
kb_relative_information_score
5.907311
kb_relative_information_score
0.952159
kb_relative_information_score
2.794296
kb_relative_information_score
6.409624
kb_relative_information_score
3.121871
kb_relative_information_score
7.285665
kb_relative_information_score
4.647947
kb_relative_information_score
3.722514
kb_relative_information_score
1.770534
kb_relative_information_score
2.909855
kb_relative_information_score
4.417913
kb_relative_information_score
5.734174
kb_relative_information_score
5.029441
kb_relative_information_score
3.678817
kb_relative_information_score
1.633541
kb_relative_information_score
5.962418
kb_relative_information_score
3.865705
kb_relative_information_score
2.923856
kb_relative_information_score
2.228688
kb_relative_information_score
3.155287
kb_relative_information_score
3.63826
kb_relative_information_score
3.931966
kb_relative_information_score
5.453395
kb_relative_information_score
4.142071
kb_relative_information_score
4.630387
kb_relative_information_score
2.507698
kb_relative_information_score
6.124901
kb_relative_information_score
4.753381
kb_relative_information_score
2.271443
kb_relative_information_score
4.991487
kb_relative_information_score
4.629193
kb_relative_information_score
2.369971
kb_relative_information_score
4.92301
kb_relative_information_score
3.913532
kb_relative_information_score
1.302229
kb_relative_information_score
2.292969
kb_relative_information_score
1.600876
kb_relative_information_score
3.815874
kb_relative_information_score
3.39701
kb_relative_information_score
2.051815
kb_relative_information_score
1.36241
kb_relative_information_score
3.167173
kb_relative_information_score
0.883761
kb_relative_information_score
4.982375
kb_relative_information_score
3.751909
kb_relative_information_score
4.170639
kb_relative_information_score
2.97387
kb_relative_information_score
3.515127
kb_relative_information_score
5.219533
kb_relative_information_score
4.187368
kb_relative_information_score
1.282224
kb_relative_information_score
3.504268
kb_relative_information_score
3.629842
kb_relative_information_score
3.924947
kb_relative_information_score
3.841469
kb_relative_information_score
6.356265
kb_relative_information_score
3.503133
kb_relative_information_score
1.547749
mean_absolute_error
0.112727
mean_absolute_error
0.062369
mean_absolute_error
0.073547
mean_absolute_error
0.071364
mean_absolute_error
0.10697
mean_absolute_error
0.102196
mean_absolute_error
0.076845
mean_absolute_error
0.098535
mean_absolute_error
0.053196
mean_absolute_error
0.1005
mean_absolute_error
0.077702
mean_absolute_error
0.084367
mean_absolute_error
0.085175
mean_absolute_error
0.081477
mean_absolute_error
0.127946
mean_absolute_error
0.067181
mean_absolute_error
0.109577
mean_absolute_error
0.054805
mean_absolute_error
0.063566
mean_absolute_error
0.120856
mean_absolute_error
0.081183
mean_absolute_error
0.052072
mean_absolute_error
0.085209
mean_absolute_error
0.133117
mean_absolute_error
0.044056
mean_absolute_error
0.062193
mean_absolute_error
0.088133
mean_absolute_error
0.096286
mean_absolute_error
0.12371
mean_absolute_error
0.085309
mean_absolute_error
0.106411
mean_absolute_error
0.144831
mean_absolute_error
0.154232
mean_absolute_error
0.073939
mean_absolute_error
0.095815
mean_absolute_error
0.093939
mean_absolute_error
0.116372
mean_absolute_error
0.095527
mean_absolute_error
0.096296
mean_absolute_error
0.130356
mean_absolute_error
0.113636
mean_absolute_error
0.101573
mean_absolute_error
0.078555
mean_absolute_error
0.150684
mean_absolute_error
0.117818
mean_absolute_error
0.064848
mean_absolute_error
0.113946
mean_absolute_error
0.061531
mean_absolute_error
0.085031
mean_absolute_error
0.104917
mean_absolute_error
0.136677
mean_absolute_error
0.116453
mean_absolute_error
0.098268
mean_absolute_error
0.075131
mean_absolute_error
0.092889
mean_absolute_error
0.100303
mean_absolute_error
0.138568
mean_absolute_error
0.072368
mean_absolute_error
0.100167
mean_absolute_error
0.119658
mean_absolute_error
0.118891
mean_absolute_error
0.09766
mean_absolute_error
0.091283
mean_absolute_error
0.084416
mean_absolute_error
0.065637
mean_absolute_error
0.091077
mean_absolute_error
0.076253
mean_absolute_error
0.11376
mean_absolute_error
0.059877
mean_absolute_error
0.084443
mean_absolute_error
0.12506
mean_absolute_error
0.069309
mean_absolute_error
0.092075
mean_absolute_error
0.128329
mean_absolute_error
0.070197
mean_absolute_error
0.096053
mean_absolute_error
0.139821
mean_absolute_error
0.130303
mean_absolute_error
0.147363
mean_absolute_error
0.102461
mean_absolute_error
0.109442
mean_absolute_error
0.122828
mean_absolute_error
0.137522
mean_absolute_error
0.104646
mean_absolute_error
0.144863
mean_absolute_error
0.072503
mean_absolute_error
0.101982
mean_absolute_error
0.086476
mean_absolute_error
0.108356
mean_absolute_error
0.095324
mean_absolute_error
0.071727
mean_absolute_error
0.080353
mean_absolute_error
0.137446
mean_absolute_error
0.093632
mean_absolute_error
0.101459
mean_absolute_error
0.083117
mean_absolute_error
0.094108
mean_absolute_error
0.057576
mean_absolute_error
0.094906
mean_absolute_error
0.136364
mean_prior_absolute_error
0.15446
mean_prior_absolute_error
0.157009
mean_prior_absolute_error
0.151062
mean_prior_absolute_error
0.157009
mean_prior_absolute_error
0.15463
mean_prior_absolute_error
0.151402
mean_prior_absolute_error
0.153951
mean_prior_absolute_error
0.153271
mean_prior_absolute_error
0.151912
mean_prior_absolute_error
0.153951
mean_prior_absolute_error
0.15446
mean_prior_absolute_error
0.157009
mean_prior_absolute_error
0.153101
mean_prior_absolute_error
0.157009
mean_prior_absolute_error
0.154121
mean_prior_absolute_error
0.154291
mean_prior_absolute_error
0.153951
mean_prior_absolute_error
0.1548
mean_prior_absolute_error
0.1565
mean_prior_absolute_error
0.153951
mean_prior_absolute_error
0.154121
mean_prior_absolute_error
0.157009
mean_prior_absolute_error
0.157349
mean_prior_absolute_error
0.15463
mean_prior_absolute_error
0.154121
mean_prior_absolute_error
0.157009
mean_prior_absolute_error
0.157349
mean_prior_absolute_error
0.152251
mean_prior_absolute_error
0.158199
mean_prior_absolute_error
0.157349
mean_prior_absolute_error
0.15616
mean_prior_absolute_error
0.157519
mean_prior_absolute_error
0.158709
mean_prior_absolute_error
0.154121
mean_prior_absolute_error
0.15463
mean_prior_absolute_error
0.157349
mean_prior_absolute_error
0.157689
mean_prior_absolute_error
0.1548
mean_prior_absolute_error
0.157009
mean_prior_absolute_error
0.158879
mean_prior_absolute_error
0.157009
mean_prior_absolute_error
0.157349
mean_prior_absolute_error
0.157349
mean_prior_absolute_error
0.15446
mean_prior_absolute_error
0.15463
mean_prior_absolute_error
0.157349
mean_prior_absolute_error
0.154121
mean_prior_absolute_error
0.157349
mean_prior_absolute_error
0.157009
mean_prior_absolute_error
0.157689
mean_prior_absolute_error
0.157859
mean_prior_absolute_error
0.157349
mean_prior_absolute_error
0.157349
mean_prior_absolute_error
0.1565
mean_prior_absolute_error
0.157519
mean_prior_absolute_error
0.157519
mean_prior_absolute_error
0.15497
mean_prior_absolute_error
0.157349
mean_prior_absolute_error
0.157009
mean_prior_absolute_error
0.157859
mean_prior_absolute_error
0.152176
mean_prior_absolute_error
0.151232
mean_prior_absolute_error
0.155574
mean_prior_absolute_error
0.156896
mean_prior_absolute_error
0.154253
mean_prior_absolute_error
0.155197
mean_prior_absolute_error
0.152365
mean_prior_absolute_error
0.155197
mean_prior_absolute_error
0.155197
mean_prior_absolute_error
0.15463
mean_prior_absolute_error
0.152176
mean_prior_absolute_error
0.150288
mean_prior_absolute_error
0.155574
mean_prior_absolute_error
0.155952
mean_prior_absolute_error
0.155952
mean_prior_absolute_error
0.155952
mean_prior_absolute_error
0.155574
mean_prior_absolute_error
0.155197
mean_prior_absolute_error
0.155952
mean_prior_absolute_error
0.151987
mean_prior_absolute_error
0.155952
mean_prior_absolute_error
0.152742
mean_prior_absolute_error
0.152365
mean_prior_absolute_error
0.152176
mean_prior_absolute_error
0.155952
mean_prior_absolute_error
0.152365
mean_prior_absolute_error
0.155952
mean_prior_absolute_error
0.155574
mean_prior_absolute_error
0.152742
mean_prior_absolute_error
0.151987
mean_prior_absolute_error
0.156518
mean_prior_absolute_error
0.152365
mean_prior_absolute_error
0.152365
mean_prior_absolute_error
0.152176
mean_prior_absolute_error
0.155574
mean_prior_absolute_error
0.152365
mean_prior_absolute_error
0.155197
mean_prior_absolute_error
0.155574
mean_prior_absolute_error
0.148966
mean_prior_absolute_error
0.151987
number_of_instances
10 [2,3,0,1,0,1,0,1,1,0,1]
number_of_instances
10 [2,2,0,0,0,1,1,1,1,1,1]
number_of_instances
10 [3,3,0,0,0,1,1,0,1,0,1]
number_of_instances
10 [2,2,0,0,0,1,1,1,1,1,1]
number_of_instances
10 [2,3,0,0,0,1,1,1,0,1,1]
number_of_instances
10 [3,3,0,0,0,1,0,0,1,1,1]
number_of_instances
10 [3,2,0,0,0,1,1,1,1,0,1]
number_of_instances
10 [2,3,0,0,0,1,0,0,1,1,2]
number_of_instances
10 [3,3,1,0,0,1,0,0,1,0,1]
number_of_instances
10 [3,2,0,0,0,1,1,1,1,0,1]
number_of_instances
10 [2,3,0,1,0,1,0,1,1,0,1]
number_of_instances
10 [2,2,0,0,0,1,1,1,1,1,1]
number_of_instances
10 [3,2,0,0,0,1,1,0,1,0,2]
number_of_instances
10 [2,2,0,0,0,1,1,1,1,1,1]
number_of_instances
10 [2,3,0,0,0,1,0,1,1,1,1]
number_of_instances
10 [3,2,0,0,0,1,0,1,1,1,1]
number_of_instances
10 [3,2,0,0,0,1,1,1,1,0,1]
number_of_instances
10 [2,3,0,0,1,1,0,0,1,1,1]
number_of_instances
10 [2,2,0,0,1,1,0,1,1,0,2]
number_of_instances
10 [3,2,0,0,0,1,1,1,1,0,1]
number_of_instances
10 [2,3,0,0,0,1,0,1,1,1,1]
number_of_instances
10 [2,2,0,0,0,1,1,1,1,1,1]
number_of_instances
10 [2,2,0,0,1,1,1,1,1,0,1]
number_of_instances
10 [2,3,0,0,0,1,1,1,0,1,1]
number_of_instances
10 [2,3,0,0,0,1,0,1,1,1,1]
number_of_instances
10 [2,2,0,0,0,1,1,1,1,1,1]
number_of_instances
10 [2,2,0,0,1,1,1,1,1,0,1]
number_of_instances
10 [3,3,0,0,1,1,1,0,0,0,1]
number_of_instances
10 [2,2,0,0,1,1,1,1,0,1,1]
number_of_instances
10 [2,2,0,0,1,1,1,1,1,0,1]
number_of_instances
10 [2,2,0,0,0,1,0,1,1,1,2]
number_of_instances
10 [2,2,1,0,0,1,1,1,1,0,1]
number_of_instances
10 [2,2,1,0,1,1,1,1,0,0,1]
number_of_instances
10 [2,3,0,0,0,1,1,0,1,1,1]
number_of_instances
10 [3,2,0,0,1,1,0,1,1,0,1]
number_of_instances
10 [2,2,0,0,1,1,1,1,1,0,1]
number_of_instances
10 [2,2,0,0,1,1,1,0,1,1,1]
number_of_instances
10 [3,2,1,0,0,1,1,0,1,0,1]
number_of_instances
10 [2,2,0,0,0,1,1,1,1,1,1]
number_of_instances
10 [2,2,0,1,1,1,0,1,0,1,1]
number_of_instances
10 [2,2,0,0,0,1,1,1,1,1,1]
number_of_instances
10 [2,2,0,0,1,1,1,1,1,0,1]
number_of_instances
10 [2,2,0,1,0,1,1,1,1,0,1]
number_of_instances
10 [2,3,0,1,0,1,1,0,1,0,1]
number_of_instances
10 [3,2,0,0,1,1,0,1,1,0,1]
number_of_instances
10 [2,2,0,0,1,1,1,1,1,0,1]
number_of_instances
10 [2,3,0,0,0,1,1,0,1,1,1]
number_of_instances
10 [2,2,0,1,0,1,1,1,1,0,1]
number_of_instances
10 [2,2,0,0,0,1,1,1,1,1,1]
number_of_instances
10 [2,2,0,1,0,1,0,1,1,1,1]
number_of_instances
10 [2,2,1,0,0,1,1,0,1,1,1]
number_of_instances
10 [2,2,0,0,1,1,1,1,1,0,1]
number_of_instances
10 [2,2,0,1,0,1,1,1,1,0,1]
number_of_instances
10 [2,2,0,1,0,1,1,0,1,0,2]
number_of_instances
10 [2,2,1,0,0,1,1,1,1,0,1]
number_of_instances
10 [2,2,1,0,0,1,1,1,1,0,1]
number_of_instances
10 [2,3,1,0,0,1,0,0,1,1,1]
number_of_instances
10 [2,2,0,1,0,1,1,1,1,0,1]
number_of_instances
10 [2,2,0,0,0,1,1,1,1,1,1]
number_of_instances
10 [2,2,1,0,0,1,0,1,1,1,1]
number_of_instances
9 [3,2,0,0,0,1,1,0,1,0,1]
number_of_instances
9 [3,2,0,0,0,1,0,0,1,0,2]
number_of_instances
9 [2,2,0,0,0,1,0,1,1,1,1]
number_of_instances
9 [2,2,1,0,1,1,0,0,1,0,1]
number_of_instances
9 [2,2,0,0,0,1,1,0,1,0,2]
number_of_instances
9 [2,2,0,0,0,1,1,1,1,0,1]
number_of_instances
9 [2,3,0,0,0,1,0,0,1,1,1]
number_of_instances
9 [2,2,0,0,0,1,1,1,1,0,1]
number_of_instances
9 [2,2,0,0,0,1,1,1,1,0,1]
number_of_instances
9 [2,2,0,0,0,1,0,0,1,1,2]
number_of_instances
9 [3,2,0,0,0,1,1,0,1,0,1]
number_of_instances
9 [3,3,0,1,0,1,0,0,0,0,1]
number_of_instances
9 [2,2,0,0,0,1,0,1,1,1,1]
number_of_instances
9 [2,2,0,0,1,1,0,1,1,0,1]
number_of_instances
9 [2,2,0,1,0,1,1,0,1,0,1]
number_of_instances
9 [2,2,0,1,0,1,1,0,1,0,1]
number_of_instances
9 [2,2,0,1,0,1,0,1,0,0,2]
number_of_instances
9 [2,2,0,0,0,1,1,1,1,0,1]
number_of_instances
9 [2,2,0,1,0,1,1,0,1,0,1]
number_of_instances
9 [2,3,0,0,0,1,1,0,1,0,1]
number_of_instances
9 [2,2,0,0,1,1,1,0,1,0,1]
number_of_instances
9 [2,3,0,1,0,1,0,0,1,0,1]
number_of_instances
9 [2,3,0,0,0,1,0,0,1,1,1]
number_of_instances
9 [3,2,0,0,0,1,0,1,1,0,1]
number_of_instances
9 [2,2,0,1,0,1,1,0,1,0,1]
number_of_instances
9 [2,3,0,1,0,1,0,0,0,0,2]
number_of_instances
9 [2,2,0,1,0,1,0,1,1,0,1]
number_of_instances
9 [2,2,0,0,0,1,0,1,1,1,1]
number_of_instances
9 [2,3,0,1,0,1,0,0,1,0,1]
number_of_instances
9 [2,3,0,0,0,1,1,0,1,0,1]
number_of_instances
9 [2,2,0,0,1,1,1,1,0,0,1]
number_of_instances
9 [2,3,0,0,0,1,0,0,1,1,1]
number_of_instances
9 [2,3,0,0,0,1,0,0,1,1,1]
number_of_instances
9 [3,2,0,0,0,1,0,1,1,0,1]
number_of_instances
9 [2,2,0,0,0,1,1,0,1,1,1]
number_of_instances
9 [2,3,0,0,0,1,0,0,1,1,1]
number_of_instances
9 [2,2,0,0,0,1,1,1,1,0,1]
number_of_instances
9 [2,2,0,0,0,1,0,1,1,1,1]
number_of_instances
9 [3,3,0,0,0,1,0,0,1,0,1]
number_of_instances
9 [2,3,0,0,0,1,1,0,1,0,1]
precision
0.375 [0,0.25,0,0,0,1,0,0,1,0,1]
precision
0.783333 [0.666667,1,0,0,0,0.5,1,1,0,1,1]
precision
0.725 [0.75,1,0,0,0,0,1,0,0,0,1]
precision
0.55 [0,0.5,0,0,0,0.5,1,1,1,0,1]
precision
0.42 [1,0.4,0,0,0,0,0,0,0,0,1]
precision
0.478571 [1,0.428571,0,0,0,0,0,0,0,0,0.5]
precision
0.6 [0.5,0.5,0,0,0,1,0.5,1,0,0,1]
precision
0.48 [0.4,0.666667,0,0,0,0,0,0,0,0,1]
precision
0.85 [1,1,0,0,0,1,0,0,0.5,0,1]
precision
0.55 [1,0.25,0,0,0,0,0.5,1,0.5,0,0]
precision
0.591667 [0.333333,0.75,0,0,0,1,0,0,1,0,1]
precision
0.45 [0.5,0.5,0,0,0,1,0.5,0,0,0,1]
precision
0.55 [0.666667,0,0,0,0,0.5,1,0,0,0,1]
precision
0.45 [0.666667,0.333333,0,0,0,1,0,0.5,0,0,1]
precision
0.24 [0.2,0,0,0,0,0,0,1,1,0,0]
precision
0.716667 [1,0.333333,0,0,0,0.5,0,1,1,0,1]
precision
0.35 [0.666667,0,0,0,0,0,0.5,1,0,0,0]
precision
0.75 [1,1,0,0,0,0.5,0,0,1,0,1]
precision
0.733333 [0.5,1,0,0,0,1,0,1,1,0,0.666667]
precision
0.307143 [0.5,0.285714,0,0,0,0,0,1,0,0,0]
precision
0.55 [0.5,0.5,0,0,0,1,0,1,0.5,0,0.5]
precision
0.833333 [1,0.666667,0,0,0,1,1,1,1,0,1]
precision
0.45 [0.333333,0.666667,0,0,0,0.5,0,1,0,0,1]
precision
0.25 [0,0.333333,0,0,0,0,0.5,0,0,0,1]
precision
0.783333 [0.666667,1,0,0,0,1,0,1,0.5,0,1]
precision
0.75 [1,0.5,0,0,0,1,0,1,0.5,1,1]
precision
0.583333 [1,0.666667,0,0,0,0,0,1,0.5,0,1]
precision
0.52 [1,0.4,0,0,0,0,0,0,0,0,1]
precision
0.28 [1,0.4,0,0,0,0,0,0,0,0,0]
precision
0.55 [1,0.5,0,0,0,0.5,1,0,1,0,0]
precision
0.28 [0.5,0,0,0,0,0,0,1,0,0,0.4]
precision
0.106667 [0.333333,0.2,0,0,0,0,0,0,0,0,0]
precision
0.057143 [0,0.285714,0,0,0,0,0,0,0,0,0]
precision
0.725 [1,0.75,0,0,0,1,1,0,1,0,0]
precision
0.458333 [0.75,0.666667,0,0,0,0,0,0,0,0,1]
precision
0.483333 [0.666667,1,0,0,0,1,0.5,0,0,0,0]
precision
0.45 [1,0.5,0,0,0,1,0.5,0,0,0,0]
precision
0.558333 [0.75,1,0,0,0,0.333333,1,0,0,0,0]
precision
0.466667 [1,0.333333,0,0,0,0,0.5,1,0.5,0,0]
precision
0.266667 [0,0.333333,0,0,0,0,0,1,0,0,1]
precision
0.3 [0.5,0,0,0,0,0,0.5,1,0,0.5,0]
precision
0.35 [0,0.5,0,0,0,1,0,1,0.5,0,0]
precision
0.566667 [0,0.333333,0,0,0,1,1,1,1,0,1]
precision
0.15 [0.25,0.333333,0,0,0,0,0,0,0,0,0]
precision
0.325 [0,1,0,0,0,0.25,0,0,0,0,1]
precision
0.666667 [1,0.666667,0,0,0,1,1,1,0.333333,0,0]
precision
0.416667 [0.333333,0.5,0,0,0,0,0,0,1,0,1]
precision
0.7 [1,0.5,0,0,0,1,1,1,0.5,0,0.5]
precision
0.466667 [0.666667,0.666667,0,0,0,1,0,1,0,0,0]
precision
0.33 [0.5,0.4,0,0,0,1,0,0,0,0,0.5]
precision
0.157143 [0,0.285714,0,0,0,1,0,0,0,0,0]
precision
0.45 [1,0.5,0,0,0,0.5,0,0,0,0,1]
precision
0.35 [0.5,0.25,0,0,0,0,1,1,0,0,0]
precision
0.533333 [0.666667,0.5,0,0,0,0,1,0,0,0,1]
precision
0.583333 [1,0.666667,0,0,0,1,0,0.5,1,0,0]
precision
0.433333 [1,0.666667,0,0,0,1,0,0,0,0,0]
precision
0.233333 [0.666667,0,0,0,0,0,0,0,0,0,1]
precision
0.533333 [0.5,0.666667,0,0,0,0,1,1,0,0,1]
precision
0.366667 [0.5,0.333333,0,0,0,0,0,1,0,0,1]
precision
0.333333 [0.333333,0.333333,0,0,0,1,0,0,1,0,0]
precision
0.333333 [0.666667,0,0,0,0,0,0,0,0,0,1]
precision
0.555556 [1,0.5,0,0,0,0,0,0,0,0,0.5]
precision
0.348148 [0.666667,0.4,0,0,0,0,0,1,0,0,0]
precision
0.444444 [0.5,0.5,0,0,0,1,0,0,0,0,1]
precision
0.722222 [0.5,0.5,0,0,0,1,1,0,0.5,0,1]
precision
0.5 [1,0.25,0,0,0,0,1,1,0,0,0]
precision
0.759259 [1,1,0,0,0,0.333333,0,0,0.5,0,1]
precision
0.333333 [0.5,0.5,0,0,0,0,0,0,0,0,1]
precision
0.759259 [1,0.666667,0,0,0,0,0.5,1,1,0,1]
precision
0.425926 [0,0.5,0,0,0,0.5,0,0,1,0,0.666667]
precision
0.166667 [0,0.5,0,0,0,0,0.5,0,0,0,0]
precision
0.805556 [0.75,1,0,0,0,1,0,0,0,0,1]
precision
0.462963 [0,0.333333,0,0,0,1,0,0,1,1,0.5]
precision
0.240741 [0,0.333333,0,0,0,1,0,0.5,0,0,0]
precision
0.648148 [0.666667,1,0,0,0,1,0,0,0.5,0,1]
precision
0.444444 [0.666667,0.333333,0,0,0,1,0,0,1,0,0]
precision
0.259259 [0,0.166667,0,0,0,0,0,0,0,0,1]
precision
0.240741 [0,0.333333,0,0,0,1,0,0.5,0,0,0]
precision
0.166667 [0,0,0,0,0,1,0.5,0,0,0,0]
precision
0.366667 [0.4,0,0,0,0,0,0.5,0,1,0,1]
precision
0.333333 [0.5,0,0,0,0,1,1,0,0,0,0]
precision
0.266667 [0.2,0.333333,0,0,0,1,0,0,0,0,0]
precision
0.222222 [0,0.333333,0,0,0,0,0,0,0,0,1]
precision
0.444444 [0.5,0.25,0,0,0,0,0,1,0,0,1]
precision
0.222222 [0.5,0.5,0,0,0,0,0,0,0,0,0]
precision
0.703704 [1,1,0,0,0,0,0,0,0,0,0.666667]
precision
0.444444 [0.5,0.5,0,0,0,1,0,0,1,0,0]
precision
0.555556 [1,0.5,0,0,0,0,0,0,1,0,1]
precision
0.333333 [0.25,0.5,0,0,0,1,0,0,0,0,0]
precision
0.62963 [0.333333,1,0,0,0,0,0,0,1,0,1]
precision
0.555556 [0.5,0.5,0,0,0,1,0,1,0,0,1]
precision
0.62963 [0.666667,1,0,0,0,1,0,0,0,0,0.333333]
precision
0.166667 [0.25,0,0,0,0,1,0,0,0,0,0]
precision
0.518519 [0.666667,0.333333,0,0,0,1,0,0,0,0,1]
precision
0.555556 [0,1,0,0,0,1,1,0,0,0,1]
precision
0.527778 [1,0.75,0,0,0,0,0,0,0.5,0,0]
precision
0.388889 [0.5,0.5,0,0,0,0,0,0.5,0,0,1]
precision
0.777778 [1,0.5,0,0,0,1,0,1,1,1,0]
precision
0.555556 [0.5,0.666667,0,0,0,1,0,0,0.5,0,0]
precision
0.222222 [0,0,0,0,0,1,0,0,0,0,1]
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
0.5
predictive_accuracy
0.8
predictive_accuracy
0.5
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.3
predictive_accuracy
0.7
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.3
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.2
predictive_accuracy
0.2
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.5
predictive_accuracy
0.3
predictive_accuracy
0.4
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
0.2
predictive_accuracy
0.4
predictive_accuracy
0.7
predictive_accuracy
0.4
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.5
predictive_accuracy
0.3
predictive_accuracy
0.4
predictive_accuracy
0.5
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.5
predictive_accuracy
0.3
predictive_accuracy
0.7
predictive_accuracy
0.5
predictive_accuracy
0.4
predictive_accuracy
0.333333
predictive_accuracy
0.555556
predictive_accuracy
0.555556
predictive_accuracy
0.555556
predictive_accuracy
0.666667
predictive_accuracy
0.555556
predictive_accuracy
0.666667
predictive_accuracy
0.444444
predictive_accuracy
0.777778
predictive_accuracy
0.555556
predictive_accuracy
0.333333
predictive_accuracy
0.777778
predictive_accuracy
0.555556
predictive_accuracy
0.333333
predictive_accuracy
0.666667
predictive_accuracy
0.555556
predictive_accuracy
0.222222
predictive_accuracy
0.333333
predictive_accuracy
0.222222
predictive_accuracy
0.555556
predictive_accuracy
0.444444
predictive_accuracy
0.333333
predictive_accuracy
0.222222
predictive_accuracy
0.444444
predictive_accuracy
0.222222
predictive_accuracy
0.666667
predictive_accuracy
0.555556
predictive_accuracy
0.666667
predictive_accuracy
0.444444
predictive_accuracy
0.555556
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.222222
predictive_accuracy
0.555556
predictive_accuracy
0.444444
predictive_accuracy
0.666667
predictive_accuracy
0.555556
predictive_accuracy
0.777778
predictive_accuracy
0.555556
predictive_accuracy
0.222222
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
prior_entropy
3.089168
recall
0.4 [0,0.333333,0,0,0,1,0,0,1,0,1]
recall
0.8 [1,0.5,0,0,0,1,1,1,0,1,1]
recall
0.8 [1,1,0,0,0,0,1,0,0,0,1]
recall
0.7 [0,1,0,0,0,1,1,1,1,0,1]
recall
0.5 [1,0.666667,0,0,0,0,0,0,0,0,1]
recall
0.5 [0.333333,1,0,0,0,0,0,0,0,0,1]
recall
0.6 [0.333333,0.5,0,0,0,1,1,1,0,0,1]
recall
0.5 [1,0.666667,0,0,0,0,0,0,0,0,0.5]
recall
0.8 [1,0.666667,0,0,0,1,0,0,1,0,1]
recall
0.5 [0.333333,0.5,0,0,0,0,1,1,1,0,0]
recall
0.7 [0.5,1,0,0,0,1,0,0,1,0,1]
recall
0.6 [1,0.5,0,0,0,1,1,0,0,0,1]
recall
0.6 [0.666667,0,0,0,0,1,1,0,0,0,1]
recall
0.6 [1,0.5,0,0,0,1,0,1,0,0,1]
recall
0.3 [0.5,0,0,0,0,0,0,1,1,0,0]
recall
0.7 [0.666667,0.5,0,0,0,1,0,1,1,0,1]
recall
0.4 [0.666667,0,0,0,0,0,1,1,0,0,0]
recall
0.8 [1,1,0,0,0,1,0,0,1,0,1]
recall
0.7 [0.5,0.5,0,0,0,1,0,1,1,0,1]
recall
0.4 [0.333333,1,0,0,0,0,0,1,0,0,0]
recall
0.6 [0.5,0.333333,0,0,0,1,0,1,1,0,1]
recall
0.9 [1,1,0,0,0,1,1,1,1,0,1]
recall
0.6 [0.5,1,0,0,0,1,0,1,0,0,1]
recall
0.3 [0,0.333333,0,0,0,0,1,0,0,0,1]
recall
0.8 [1,0.666667,0,0,0,1,0,1,1,0,1]
recall
0.7 [0.5,0.5,0,0,0,1,0,1,1,1,1]
recall
0.6 [0.5,1,0,0,0,0,0,1,1,0,1]
recall
0.6 [1,0.666667,0,0,0,0,0,0,0,0,1]
recall
0.4 [1,1,0,0,0,0,0,0,0,0,0]
recall
0.6 [1,0.5,0,0,0,1,1,0,1,0,0]
recall
0.4 [0.5,0,0,0,0,0,0,1,0,0,1]
recall
0.2 [0.5,0.5,0,0,0,0,0,0,0,0,0]
recall
0.2 [0,1,0,0,0,0,0,0,0,0,0]
recall
0.7 [0.5,1,0,0,0,1,1,0,1,0,0]
recall
0.6 [1,1,0,0,0,0,0,0,0,0,1]
recall
0.6 [1,1,0,0,0,1,1,0,0,0,0]
recall
0.4 [0.5,0.5,0,0,0,1,1,0,0,0,0]
recall
0.6 [1,0.5,0,0,0,1,1,0,0,0,0]
recall
0.5 [0.5,0.5,0,0,0,0,1,1,1,0,0]
recall
0.3 [0,0.5,0,0,0,0,0,1,0,0,1]
recall
0.4 [0.5,0,0,0,0,0,1,1,0,1,0]
recall
0.5 [0,1,0,0,0,1,0,1,1,0,0]
recall
0.6 [0,0.5,0,0,0,1,1,1,1,0,1]
recall
0.2 [0.5,0.333333,0,0,0,0,0,0,0,0,0]
recall
0.4 [0,1,0,0,0,1,0,0,0,0,1]
recall
0.7 [0.5,1,0,0,0,1,1,1,1,0,0]
recall
0.4 [0.5,0.333333,0,0,0,0,0,0,1,0,1]
recall
0.7 [0.5,0.5,0,0,0,1,1,1,1,0,1]
recall
0.6 [1,1,0,0,0,1,0,1,0,0,0]
recall
0.5 [0.5,1,0,0,0,1,0,0,0,0,1]
recall
0.3 [0,1,0,0,0,1,0,0,0,0,0]
recall
0.4 [0.5,0.5,0,0,0,1,0,0,0,0,1]
recall
0.5 [1,0.5,0,0,0,0,1,1,0,0,0]
recall
0.7 [1,1,0,0,0,0,1,0,0,0,1]
recall
0.6 [0.5,1,0,0,0,1,0,1,1,0,0]
recall
0.5 [1,1,0,0,0,1,0,0,0,0,0]
recall
0.3 [1,0,0,0,0,0,0,0,0,0,1]
recall
0.7 [1,1,0,0,0,0,1,1,0,0,1]
recall
0.5 [0.5,1,0,0,0,0,0,1,0,0,1]
recall
0.4 [0.5,0.5,0,0,0,1,0,0,1,0,0]
recall
0.333333 [0.666667,0,0,0,0,0,0,0,0,0,1]
recall
0.555556 [0.666667,1,0,0,0,0,0,0,0,0,0.5]
recall
0.555556 [1,1,0,0,0,0,0,1,0,0,0]
recall
0.555556 [1,0.5,0,0,0,1,0,0,0,0,1]
recall
0.666667 [0.5,0.5,0,0,0,1,1,0,1,0,0.5]
recall
0.555556 [1,0.5,0,0,0,0,1,1,0,0,0]
recall
0.666667 [0.5,0.666667,0,0,0,1,0,0,1,0,1]
recall
0.444444 [0.5,1,0,0,0,0,0,0,0,0,1]
recall
0.777778 [0.5,1,0,0,0,0,1,1,1,0,1]
recall
0.555556 [0,0.5,0,0,0,1,0,0,1,0,1]
recall
0.333333 [0,1,0,0,0,0,1,0,0,0,0]
recall
0.777778 [1,0.666667,0,0,0,1,0,0,0,0,1]
recall
0.555556 [0,0.5,0,0,0,1,0,0,1,1,1]
recall
0.333333 [0,0.5,0,0,0,1,0,1,0,0,0]
recall
0.666667 [1,0.5,0,0,0,1,0,0,1,0,1]
recall
0.555556 [1,0.5,0,0,0,1,0,0,1,0,0]
recall
0.222222 [0,0.5,0,0,0,0,0,0,0,0,0.5]
recall
0.333333 [0,0.5,0,0,0,1,0,1,0,0,0]
recall
0.222222 [0,0,0,0,0,1,1,0,0,0,0]
recall
0.555556 [1,0,0,0,0,0,1,0,1,0,1]
recall
0.444444 [1,0,0,0,0,1,1,0,0,0,0]
recall
0.333333 [0.5,0.333333,0,0,0,1,0,0,0,0,0]
recall
0.222222 [0,0.333333,0,0,0,0,0,0,0,0,1]
recall
0.444444 [0.333333,0.5,0,0,0,0,0,1,0,0,1]
recall
0.222222 [0.5,0.5,0,0,0,0,0,0,0,0,0]
recall
0.666667 [1,0.666667,0,0,0,0,0,0,0,0,1]
recall
0.555556 [0.5,1,0,0,0,1,0,0,1,0,0]
recall
0.666667 [1,1,0,0,0,0,0,0,1,0,1]
recall
0.444444 [0.5,0.666667,0,0,0,1,0,0,0,0,0]
recall
0.555556 [0.5,0.666667,0,0,0,0,0,0,1,0,1]
recall
0.666667 [1,0.5,0,0,0,1,0,1,0,0,1]
recall
0.666667 [1,0.666667,0,0,0,1,0,0,0,0,1]
recall
0.222222 [0.5,0,0,0,0,1,0,0,0,0,0]
recall
0.555556 [0.666667,0.5,0,0,0,1,0,0,0,0,1]
recall
0.444444 [0,0.5,0,0,0,1,1,0,0,0,1]
recall
0.666667 [1,1,0,0,0,0,0,0,1,0,0]
recall
0.555556 [1,0.5,0,0,0,0,0,1,0,0,1]
recall
0.777778 [1,0.5,0,0,0,1,0,1,1,1,0]
recall
0.555556 [0.333333,0.666667,0,0,0,1,0,0,1,0,0]
recall
0.222222 [0,0,0,0,0,1,0,0,0,0,1]
relative_absolute_error
0.729813
relative_absolute_error
0.397232
relative_absolute_error
0.486869
relative_absolute_error
0.454518
relative_absolute_error
0.691777
relative_absolute_error
0.674997
relative_absolute_error
0.499156
relative_absolute_error
0.642883
relative_absolute_error
0.350174
relative_absolute_error
0.652803
relative_absolute_error
0.503054
relative_absolute_error
0.53734
relative_absolute_error
0.556333
relative_absolute_error
0.518933
relative_absolute_error
0.830169
relative_absolute_error
0.435418
relative_absolute_error
0.711767
relative_absolute_error
0.354038
relative_absolute_error
0.406174
relative_absolute_error
0.785029
relative_absolute_error
0.526751
relative_absolute_error
0.331648
relative_absolute_error
0.541529
relative_absolute_error
0.860871
relative_absolute_error
0.285854
relative_absolute_error
0.396113
relative_absolute_error
0.560112
relative_absolute_error
0.632417
relative_absolute_error
0.781989
relative_absolute_error
0.542165
relative_absolute_error
0.681427
relative_absolute_error
0.919448
relative_absolute_error
0.971794
relative_absolute_error
0.47975
relative_absolute_error
0.619641
relative_absolute_error
0.597012
relative_absolute_error
0.737981
relative_absolute_error
0.617096
relative_absolute_error
0.613316
relative_absolute_error
0.820477
relative_absolute_error
0.723755
relative_absolute_error
0.645529
relative_absolute_error
0.499239
relative_absolute_error
0.97555
relative_absolute_error
0.761934
relative_absolute_error
0.412131
relative_absolute_error
0.739329
relative_absolute_error
0.391049
relative_absolute_error
0.541565
relative_absolute_error
0.665341
relative_absolute_error
0.865819
relative_absolute_error
0.740094
relative_absolute_error
0.624524
relative_absolute_error
0.480072
relative_absolute_error
0.5897
relative_absolute_error
0.636768
relative_absolute_error
0.894155
relative_absolute_error
0.45992
relative_absolute_error
0.637965
relative_absolute_error
0.758007
relative_absolute_error
0.781272
relative_absolute_error
0.645766
relative_absolute_error
0.586749
relative_absolute_error
0.538035
relative_absolute_error
0.425517
relative_absolute_error
0.586851
relative_absolute_error
0.500467
relative_absolute_error
0.733004
relative_absolute_error
0.385815
relative_absolute_error
0.546094
relative_absolute_error
0.821813
relative_absolute_error
0.461175
relative_absolute_error
0.591837
relative_absolute_error
0.822874
relative_absolute_error
0.450119
relative_absolute_error
0.615914
relative_absolute_error
0.898741
relative_absolute_error
0.839599
relative_absolute_error
0.944922
relative_absolute_error
0.674146
relative_absolute_error
0.701769
relative_absolute_error
0.804153
relative_absolute_error
0.902587
relative_absolute_error
0.687667
relative_absolute_error
0.928895
relative_absolute_error
0.47585
relative_absolute_error
0.653933
relative_absolute_error
0.555849
relative_absolute_error
0.709406
relative_absolute_error
0.627182
relative_absolute_error
0.458268
relative_absolute_error
0.527372
relative_absolute_error
0.902084
relative_absolute_error
0.615286
relative_absolute_error
0.652157
relative_absolute_error
0.545512
relative_absolute_error
0.606377
relative_absolute_error
0.370085
relative_absolute_error
0.637098
relative_absolute_error
0.897205
root_mean_prior_squared_error
0.27636
root_mean_prior_squared_error
0.280934
root_mean_prior_squared_error
0.270142
root_mean_prior_squared_error
0.280934
root_mean_prior_squared_error
0.276668
root_mean_prior_squared_error
0.27077
root_mean_prior_squared_error
0.275437
root_mean_prior_squared_error
0.2742
root_mean_prior_squared_error
0.27171
root_mean_prior_squared_error
0.275437
root_mean_prior_squared_error
0.27636
root_mean_prior_squared_error
0.280934
root_mean_prior_squared_error
0.27389
root_mean_prior_squared_error
0.280934
root_mean_prior_squared_error
0.275745
root_mean_prior_squared_error
0.276053
root_mean_prior_squared_error
0.275437
root_mean_prior_squared_error
0.276975
root_mean_prior_squared_error
0.280025
root_mean_prior_squared_error
0.275437
root_mean_prior_squared_error
0.275745
root_mean_prior_squared_error
0.280934
root_mean_prior_squared_error
0.281538
root_mean_prior_squared_error
0.276668
root_mean_prior_squared_error
0.275745
root_mean_prior_squared_error
0.280934
root_mean_prior_squared_error
0.281538
root_mean_prior_squared_error
0.272334
root_mean_prior_squared_error
0.283043
root_mean_prior_squared_error
0.281538
root_mean_prior_squared_error
0.279418
root_mean_prior_squared_error
0.28184
root_mean_prior_squared_error
0.283942
root_mean_prior_squared_error
0.275745
root_mean_prior_squared_error
0.276668
root_mean_prior_squared_error
0.281538
root_mean_prior_squared_error
0.282141
root_mean_prior_squared_error
0.276975
root_mean_prior_squared_error
0.280934
root_mean_prior_squared_error
0.284241
root_mean_prior_squared_error
0.280934
root_mean_prior_squared_error
0.281538
root_mean_prior_squared_error
0.281538
root_mean_prior_squared_error
0.27636
root_mean_prior_squared_error
0.276668
root_mean_prior_squared_error
0.281538
root_mean_prior_squared_error
0.275745
root_mean_prior_squared_error
0.281538
root_mean_prior_squared_error
0.280934
root_mean_prior_squared_error
0.282141
root_mean_prior_squared_error
0.282442
root_mean_prior_squared_error
0.281538
root_mean_prior_squared_error
0.281538
root_mean_prior_squared_error
0.280025
root_mean_prior_squared_error
0.28184
root_mean_prior_squared_error
0.28184
root_mean_prior_squared_error
0.277281
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usercpu_time_millis_training
2020
usercpu_time_millis_training
1940
usercpu_time_millis_training
1840
usercpu_time_millis_training
1900
usercpu_time_millis_training
2160
usercpu_time_millis_training
2210
usercpu_time_millis_training
2210
usercpu_time_millis_training
2130
usercpu_time_millis_training
1870
usercpu_time_millis_training
2120
usercpu_time_millis_training
1920
usercpu_time_millis_training
2340
usercpu_time_millis_training
1940
usercpu_time_millis_training
2080
usercpu_time_millis_training
2000
usercpu_time_millis_training
1700
usercpu_time_millis_training
1730
usercpu_time_millis_training
1940
usercpu_time_millis_training
1950
usercpu_time_millis_training
1840
usercpu_time_millis_training
1900
usercpu_time_millis_training
2070
usercpu_time_millis_training
1940
usercpu_time_millis_training
2000
usercpu_time_millis_training
1990
usercpu_time_millis_training
1920
usercpu_time_millis_training
2240
usercpu_time_millis_training
1910
usercpu_time_millis_training
1930
usercpu_time_millis_training
2130
usercpu_time_millis_training
1970
usercpu_time_millis_training
2060
usercpu_time_millis_training
2140
usercpu_time_millis_training
2210
usercpu_time_millis_training
1850
usercpu_time_millis_training
2230
usercpu_time_millis_training
2090
usercpu_time_millis_training
2180
usercpu_time_millis_training
2250
usercpu_time_millis_training
2150
usercpu_time_millis_training
2060
usercpu_time_millis_training
2330
usercpu_time_millis_training
1670
usercpu_time_millis_training
1930
usercpu_time_millis_training
2040
usercpu_time_millis_training
1760
usercpu_time_millis_training
2220
usercpu_time_millis_training
2070
usercpu_time_millis_training
1850
usercpu_time_millis_training
2080
usercpu_time_millis_training
1880
usercpu_time_millis_training
1980
usercpu_time_millis_training
2210
usercpu_time_millis_training
2360
usercpu_time_millis_training
1910
usercpu_time_millis_training
1960
usercpu_time_millis_training
1990
usercpu_time_millis_training
2080
usercpu_time_millis_training
2150
usercpu_time_millis_training
1900