521101
64
Rafael Gomes Mantovani
9956
Supervised Classification
2594
classif.extraTrees(5)
3498
seed
1
2594
kind
Mersenne-Twister
2594
normal.kind
Inversion
2594
study_7
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
1791563
description
https://api.openml.org/data/download/1791563/file352c3ca4282f
-1
1791564
predictions
https://api.openml.org/data/download/1791564/file352c21aeaecf
area_under_roc_curve
0.931144 [0.966035,0.96875,0.874684,0.999684,0.905934,0.905618,0.874684,0.998105,0.9375,0.967802,0.905934,0.874368,0.968118,0.968434,0.875,1,0.841539,0.968434,1,0.937184,0.999368,0.717171,0.967802,0.968434,0.717802,0.936868,0.937184,0.780618,1,0.968434,0.96875,0.999684,0.84375,0.998421,0.937184,0.749684,0.935289,0.999368,0.873737,0.968434,1,0.874052,0.936552,0.874052,0.780302,0.967487,0.842802,0.96875,0.967802,0.905302,0.966223,0.968118,0.999368,0.937184,0.779671,0.936237,1,0.874052,0.968434,0.999684,1,0.999684,0.968118,0.999052,0.937184,0.967171,0.999368,0.905934,0.999684,0.811868,0.967487,0.749052,0.999684,0.936552,0.96875,0.999684,0.936237,1,0.968434,0.905302,0.999684,0.874052,0.749052,0.936868,0.874368,0.968434,0.780618,0.998105,0.999052,0.967487,0.936868,0.812184,0.936237,0.968434,0.968118,0.873105,0.967487,1,0.998421,0.936868]
average_cost
0
f_measure
0.859809 [0.903226,0.967742,0.827586,0.969697,0.866667,0.83871,0.827586,0.842105,0.933333,0.882353,0.866667,0.8,0.909091,0.9375,0.857143,1,0.647059,0.9375,1,0.903226,0.941176,0.5,0.882353,0.9375,0.538462,0.875,0.903226,0.666667,1,0.9375,0.967742,0.969697,0.814815,0.864865,0.903226,0.64,0.756757,0.941176,0.75,0.9375,1,0.774194,0.848485,0.774194,0.642857,0.857143,0.733333,0.967742,0.882353,0.8125,0.769231,0.909091,0.941176,0.903226,0.6,0.823529,1,0.774194,0.9375,0.969697,1,0.969697,0.909091,0.914286,0.903226,0.833333,0.941176,0.866667,0.969697,0.714286,0.857143,0.592593,0.969697,0.848485,0.967742,0.969697,0.823529,1,0.9375,0.8125,0.969697,0.774194,0.592593,0.875,0.8,0.9375,0.666667,0.842105,0.914286,0.857143,0.875,0.740741,0.823529,0.9375,0.909091,0.705882,0.857143,1,0.864865,0.875]
kappa
0.862288
kb_relative_information_score
1380.537177
mean_absolute_error
0.002727
mean_prior_absolute_error
0.0198
number_of_instances
1599 [15,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16]
precision
0.867125 [0.875,1,0.923077,0.941176,0.928571,0.866667,0.923077,0.727273,1,0.833333,0.928571,0.857143,0.882353,0.9375,1,1,0.611111,0.9375,1,0.933333,0.888889,0.583333,0.833333,0.9375,0.7,0.875,0.933333,0.818182,1,0.9375,1,0.941176,1,0.761905,0.933333,0.888889,0.666667,0.888889,0.75,0.9375,1,0.8,0.823529,0.8,0.75,0.789474,0.785714,1,0.833333,0.8125,0.652174,0.882353,0.888889,0.933333,0.642857,0.777778,1,0.8,0.9375,0.941176,1,0.941176,0.882353,0.842105,0.933333,0.75,0.888889,0.928571,0.941176,0.833333,0.789474,0.727273,0.941176,0.823529,1,0.941176,0.777778,1,0.9375,0.8125,0.941176,0.8,0.727273,0.875,0.857143,0.9375,0.818182,0.727273,0.842105,0.789474,0.875,0.909091,0.777778,0.9375,0.882353,0.666667,0.789474,1,0.761905,0.875]
predictive_accuracy
0.863665
prior_entropy
6.643831
recall
0.863665 [0.933333,0.9375,0.75,1,0.8125,0.8125,0.75,1,0.875,0.9375,0.8125,0.75,0.9375,0.9375,0.75,1,0.6875,0.9375,1,0.875,1,0.4375,0.9375,0.9375,0.4375,0.875,0.875,0.5625,1,0.9375,0.9375,1,0.6875,1,0.875,0.5,0.875,1,0.75,0.9375,1,0.75,0.875,0.75,0.5625,0.9375,0.6875,0.9375,0.9375,0.8125,0.9375,0.9375,1,0.875,0.5625,0.875,1,0.75,0.9375,1,1,1,0.9375,1,0.875,0.9375,1,0.8125,1,0.625,0.9375,0.5,1,0.875,0.9375,1,0.875,1,0.9375,0.8125,1,0.75,0.5,0.875,0.75,0.9375,0.5625,1,1,0.9375,0.875,0.625,0.875,0.9375,0.9375,0.75,0.9375,1,1,0.875]
relative_absolute_error
0.137712
root_mean_prior_squared_error
0.099499
root_mean_squared_error
0.052218
root_relative_squared_error
0.524809
total_cost
0
usercpu_time_millis
25.283
usercpu_time_millis_testing
0.573999999999998
usercpu_time_millis_training
24.709
area_under_roc_curve
0.927454 [1,1,0.5,1,0.75,0.746835,0.75,1,1,0.996835,0.996855,0.75,0.996835,1,1,1,0.996835,1,1,1,1,0.75,0.996835,0.75,0.75,0.996855,1,1,1,0.5,1,1,1,1,1,0.75,0.996855,1,1,1,1,0.996855,1,1,1,0.996855,0.75,1,0.993671,1,0.996855,1,1,1,0.493711,1,1,0.996855,1,1,1,1,1,1,0.75,0.996835,1,1,1,0.75,1,1,1,1,1,1,1,1,1,0.996855,1,1,0.75,0.75,0.5,1,0.5,0.993671,1,0.996835,0.75,0.75,0.993711,1,0.75,0.75,1,1,1,1]
area_under_roc_curve
0.911711 [1,1,1,1,1,0.5,1,0.990566,1,0.996835,1,1,1,1,0.75,1,0.75,1,1,0.746835,1,0.75,0.996835,1,0.746835,0.5,0.5,1,1,1,1,1,1,0.993711,0.996855,0.496835,0.996855,1,0.996835,1,1,1,0.5,0.75,1,1,0.5,1,1,1,0.996855,1,0.996855,1,0.996855,1,1,1,1,0.996855,1,1,0.996855,1,1,0.75,0.996835,0.5,1,0.75,1,0.75,1,1,1,1,0.746835,1,1,0.996855,0.996855,0.996835,0.5,0.75,0.996855,1,0.75,0.996835,1,1,1,0.75,1,0.996855,0.996835,0.5,1,1,0.996835,0.5]
area_under_roc_curve
0.946342 [1,1,1,1,1,1,1,1,1,1,1,1,0.996835,0.75,1,1,1,1,1,1,1,0.496835,1,1,0.996855,1,1,0.75,1,1,1,1,0.75,1,1,1,0.996855,1,0.996855,1,1,0.996855,1,1,0.496835,1,0.993671,1,1,1,1,0.75,0.996835,1,1,0.75,1,0.5,1,1,1,0.996855,1,1,1,1,1,1,1,0.996835,0.996835,0.746835,1,0.996855,1,1,1,1,1,0.75,1,0.75,1,0.996835,1,0.75,0.5,1,1,1,1,0.75,1,1,1,1,1,1,1,0.996855]
area_under_roc_curve
0.924289 [1,1,0.75,1,1,1,0.5,1,1,1,1,1,1,1,0.75,1,0.75,0.996835,1,1,1,0.75,1,1,0.496855,1,1,0.496835,1,1,1,1,1,1,1,0.5,0.996855,1,0.496855,1,1,0.5,0.496855,0.993671,0.75,1,1,0.75,1,0.993711,1,1,1,0.746835,0.75,0.996835,1,1,1,1,1,1,1,1,1,1,0.996835,0.996855,0.996855,0.746835,0.996835,0.496835,1,1,0.75,1,0.75,1,1,1,1,0.75,1,1,1,1,0.996835,0.993711,1,1,1,1,0.75,1,1,0.993711,0.996835,1,1,1]
area_under_roc_curve
0.933704 [1,1,0.75,1,1,1,1,1,0.5,1,0.75,0.5,1,1,0.5,1,0.746835,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.996855,0.5,1,0.996835,0.996835,0.75,0.743671,0.75,0.75,1,1,0.996855,0.743671,1,1,1,0.746835,0.75,1,0.75,1,1,1,1,1,0.993671,1,0.996855,1,1,1,1,0.996855,1,1,0.996835,1,1,0.996855,1,1,1,1,0.75,0.496855,1,1,1,0.75,1,0.996835,0.996855,0.5,1,1,0.5,1,0.996855,1,1,1,0.996835]
area_under_roc_curve
0.939973 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.993671,1,1,1,1,1,0.996835,1,0.5,1,0.75,0.5,1,0.996835,0.5,1,1,1,0.75,1,0.996835,1,1,0.996855,1,0.75,1,0.996835,1,0.996835,1,1,1,1,0.990506,1,1,1,0.75,0.996835,1,0.75,1,1,1,1,0.75,1,1,1,1,0.75,1,1,1,0.996855,1,1,1,1,1,1,1,0.746835,1,0.5,0.5,0.996855,0.5,0.996835,1,1,1,0.996855,1,0.75,0.75,1,1,0.996855,0.75,1,0.996835,1]
area_under_roc_curve
0.943217 [0.996855,1,1,1,1,1,1,1,1,1,0.75,0.746835,1,1,1,1,1,1,1,1,1,0.993711,0.5,0.996835,0.75,1,1,0.496855,1,1,1,1,0.5,1,0.75,1,0.75,1,0.75,1,1,1,0.996835,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.996835,1,0.993711,1,1,1,0.5,1,1,1,0.496835,1,1,1,1,1,1,1,1,0.5,1,1,1,1,0.996835,0.996855,0.996835,1,0.496855,1,1,0.996855,1,0.993671,1,1,1]
area_under_roc_curve
0.921045 [1,1,0.746835,1,1,1,0.996855,0.996835,0.75,0.5,0.75,0.996835,1,1,1,1,0.493711,0.75,1,0.75,1,0.996855,1,1,0.5,1,1,0.5,1,1,1,1,0.5,1,1,0.75,0.993671,0.993671,0.75,1,1,1,1,0.5,1,1,0.996855,1,1,1,1,0.996855,1,1,0.996835,1,1,0.746835,0.746835,1,1,1,1,1,0.996855,0.996835,1,0.75,1,0.5,0.996855,0.5,1,1,1,1,1,1,0.746835,0.75,1,1,0.996835,1,0.746835,1,0.5,1,1,1,1,1,0.996835,1,1,0.746835,0.996835,1,1,1]
area_under_roc_curve
0.927494 [0.496855,1,1,1,0.75,0.996835,1,0.996835,1,1,1,1,1,0.996855,0.75,1,1,1,1,1,0.996855,0.746835,1,1,0.75,0.996855,0.996835,1,1,1,1,0.996835,1,0.996855,1,0.75,0.75,1,1,1,1,0.75,1,0.5,0.5,0.996855,1,1,0.746835,0.75,0.996835,0.996855,1,0.75,0.5,0.996855,1,1,1,1,1,1,1,1,0.75,1,1,1,1,0.5,0.75,0.5,0.996855,1,1,0.996835,1,1,1,1,1,0.993711,0.75,1,1,1,1,1,1,1,0.996835,0.5,0.996855,1,1,1,1,1,0.993711,0.75]
area_under_roc_curve
0.936507 [1,0.75,1,0.996815,0.746815,1,0.75,0.996835,1,0.996815,1,0.75,0.75,1,1,1,0.496835,1,1,1,0.996835,0.5,1,1,0.75,1,1,0.75,1,1,1,1,1,0.993671,1,0.5,1,1,0.75,1,1,0.75,1,1,1,0.996835,0.5,1,1,0.5,1,1,1,1,0.5,0.996835,1,0.996815,1,1,1,1,0.996815,1,1,1,1,1,1,1,1,0.75,1,1,1,1,0.993631,1,1,1,1,1,0.996815,1,1,1,0.996835,1,0.996835,0.75,0.996815,1,1,1,1,0.996815,1,1,0.996835,1]
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
0.846458 [1,1,0,1,0.666667,0.5,0.666667,1,1,0.8,0.666667,0.666667,0.8,1,1,1,0.8,1,1,1,1,0.666667,0.8,0.666667,0.666667,0.666667,1,1,1,0,1,1,1,1,1,0.666667,0.666667,1,1,1,1,0.666667,1,1,1,0.666667,0.666667,1,0.666667,1,0.666667,1,1,1,0,1,1,0.666667,1,1,1,1,1,1,0.666667,0.8,1,1,1,0.666667,1,1,1,1,1,1,1,1,1,0.666667,1,1,0.666667,0.666667,0,1,0,0.666667,1,0.8,0.666667,0.666667,0.5,1,0.666667,0.666667,1,1,1,1]
f_measure
0.796042 [1,1,1,1,1,0,1,0.4,1,0.8,1,1,1,1,0.666667,1,0.666667,1,1,0.5,1,0.666667,0.8,1,0.5,0,0,1,1,1,1,1,1,0.5,0.666667,0,0.666667,1,0.8,1,1,1,0,0.666667,1,1,0,1,1,1,0.666667,1,0.666667,1,0.666667,1,1,1,1,0.666667,1,1,0.666667,1,1,0.666667,0.8,0,1,0.666667,1,0.666667,1,1,1,1,0.5,1,1,0.666667,0.666667,0.8,0,0.666667,0.666667,1,0.666667,0.8,1,1,1,0.666667,1,0.666667,0.8,0,1,1,0.8,0]
f_measure
0.88125 [1,1,1,1,1,1,1,1,1,1,1,1,0.8,0.666667,1,1,1,1,1,1,1,0,1,1,0.666667,1,1,0.666667,1,1,1,1,0.666667,1,1,1,0.666667,1,0.666667,1,1,0.666667,1,1,0,1,0.666667,1,1,1,1,0.666667,0.8,1,1,0.666667,1,0,1,1,1,0.666667,1,1,1,1,1,1,1,0.8,0.8,0.5,1,0.666667,1,1,1,1,1,0.666667,1,0.666667,1,0.8,1,0.666667,0,1,1,1,1,0.666667,1,1,1,1,1,1,1,0.666667]
f_measure
0.838125 [1,1,0.666667,1,1,1,0,1,1,1,1,1,1,1,0.666667,1,0.666667,0.8,1,1,1,0.666667,1,1,0,1,1,0,1,1,1,1,1,1,1,0,0.666667,1,0,1,1,0,0,0.666667,0.666667,1,1,0.666667,1,0.5,1,1,1,0.5,0.666667,0.8,1,1,1,1,1,1,1,1,1,1,0.8,0.666667,0.666667,0.5,0.8,0,1,1,0.666667,1,0.666667,1,1,1,1,0.666667,1,1,1,1,0.8,0.5,1,1,1,1,0.666667,1,1,0.5,0.8,1,1,1]
f_measure
0.85375 [1,1,0.666667,1,1,1,1,1,0,1,0.666667,0,1,1,0,1,0.5,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.666667,0,1,0.8,0.8,0.666667,0.4,0.666667,0.666667,1,1,0.666667,0.4,1,1,1,0.5,0.666667,1,0.666667,1,1,1,1,1,0.666667,1,0.666667,1,1,1,1,0.666667,1,1,0.8,1,1,0.666667,1,1,1,1,0.666667,0,1,1,1,0.666667,1,0.8,0.666667,0,1,1,0,1,0.666667,1,1,1,0.8]
f_measure
0.862143 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.666667,1,1,1,1,1,0.8,1,0,1,0.666667,0,1,0.8,0,1,1,1,0.666667,1,0.8,1,1,0.666667,1,0.666667,1,0.8,1,0.8,1,1,1,1,0.571429,1,1,1,0.666667,0.8,1,0.666667,1,1,1,1,0.666667,1,1,1,1,0.666667,1,1,1,0.666667,1,1,1,1,1,1,1,0.5,1,0,0,0.666667,0,0.8,1,1,1,0.666667,1,0.666667,0.666667,1,1,0.666667,0.666667,1,0.8,1]
f_measure
0.86875 [0.666667,1,1,1,1,1,1,1,1,1,0.666667,0.5,1,1,1,1,1,1,1,1,1,0.5,0,0.8,0.666667,1,1,0,1,1,1,1,0,1,0.666667,1,0.666667,1,0.666667,1,1,1,0.8,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.8,1,0.5,1,1,1,0,1,1,1,0,1,1,1,1,1,1,1,1,0,1,1,1,1,0.8,0.666667,0.8,1,0,1,1,0.666667,1,0.666667,1,1,1]
f_measure
0.822083 [1,1,0.5,1,1,1,0.666667,0.8,0.666667,0,0.666667,0.8,1,1,1,1,0,0.666667,1,0.666667,1,0.666667,1,1,0,1,1,0,1,1,1,1,0,1,1,0.666667,0.666667,0.666667,0.666667,1,1,1,1,0,1,1,0.666667,1,1,1,1,0.666667,1,1,0.8,1,1,0.5,0.5,1,1,1,1,1,0.666667,0.8,1,0.666667,1,0,0.666667,0,1,1,1,1,1,1,0.5,0.666667,1,1,0.8,1,0.5,1,0,1,1,1,1,1,0.8,1,1,0.5,0.8,1,1,1]
f_measure
0.83875 [0,1,1,1,0.666667,0.8,1,0.8,1,1,1,1,1,0.666667,0.666667,1,1,1,1,1,0.666667,0.5,1,1,0.666667,0.666667,0.8,1,1,1,1,0.8,1,0.666667,1,0.666667,0.666667,1,1,1,1,0.666667,1,0,0,0.666667,1,1,0.5,0.666667,0.8,0.666667,1,0.666667,0,0.666667,1,1,1,1,1,1,1,1,0.666667,1,1,1,1,0,0.666667,0,0.666667,1,1,0.8,1,1,1,1,1,0.5,0.666667,1,1,1,1,1,1,1,0.8,0,0.666667,1,1,1,1,1,0.5,0.666667]
f_measure
0.855556 [1,0.666667,1,0.8,0.5,1,0.666667,0.666667,1,0.8,1,0.666667,0.666667,1,1,1,0,1,1,1,0.666667,0,1,1,0.666667,1,1,0.666667,1,1,1,1,1,0.5,1,0,1,1,0.666667,1,1,0.666667,1,1,1,0.666667,0,1,1,0,1,1,1,1,0,0.666667,1,0.8,1,1,1,1,0.8,1,1,1,1,1,1,1,1,0.666667,1,1,1,1,0.666667,1,1,1,1,1,0.8,1,1,1,0.666667,1,0.666667,0.666667,0.8,1,1,1,1,0.8,1,1,0.666667,1]
kappa
0.854706
kappa
0.823142
kappa
0.8926
kappa
0.848383
kappa
0.867299
kappa
0.879942
kappa
0.886278
kappa
0.842028
kappa
0.854712
kappa
0.872856
kb_relative_information_score
136.959119
kb_relative_information_score
131.948821
kb_relative_information_score
142.971478
kb_relative_information_score
135.95706
kb_relative_information_score
138.963239
kb_relative_information_score
140.954194
kb_relative_information_score
141.956254
kb_relative_information_score
134.941835
kb_relative_information_score
136.932919
kb_relative_information_score
138.952258
mean_absolute_error
0.002875
mean_absolute_error
0.0035
mean_absolute_error
0.002125
mean_absolute_error
0.003
mean_absolute_error
0.002625
mean_absolute_error
0.002375
mean_absolute_error
0.00225
mean_absolute_error
0.003125
mean_absolute_error
0.002875
mean_absolute_error
0.002516
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 [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
160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,1,2,2,2,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,1,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,1,2,1,2,2,2,2,2,2,2,1,1,2,2,1,1,2,1]
number_of_instances
160 [2,1,2,2,2,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,1,1,2,2,2,1,2,1,1,1,1,2,1,1,1,2,2,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,2,1,1,2,2,1]
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
0.889583 [1,1,0,1,1,0.5,1,1,1,0.666667,0.5,1,0.666667,1,1,1,0.666667,1,1,1,1,1,0.666667,1,1,0.5,1,1,1,0,1,1,1,1,1,1,0.5,1,1,1,1,0.5,1,1,1,0.5,1,1,0.5,1,0.5,1,1,1,0,1,1,0.5,1,1,1,1,1,1,1,0.666667,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,0,1,0,0.5,1,0.666667,1,1,0.333333,1,1,1,1,1,1,1]
precision
0.810937 [1,1,1,1,1,0,1,0.25,1,0.666667,1,1,1,1,1,1,1,1,1,0.5,1,1,0.666667,1,0.5,0,0,1,1,1,1,1,1,0.333333,0.5,0,0.5,1,0.666667,1,1,1,0,1,1,1,0,1,1,1,0.5,1,0.5,1,0.5,1,1,1,1,0.5,1,1,0.5,1,1,1,0.666667,0,1,1,1,1,1,1,1,1,0.5,1,1,0.5,0.5,0.666667,0,1,0.5,1,1,0.666667,1,1,1,1,1,0.5,0.666667,0,1,1,0.666667,0]
precision
0.901042 [1,1,1,1,1,1,1,1,1,1,1,1,0.666667,1,1,1,1,1,1,1,1,0,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,0.5,1,0.5,1,1,0.5,1,1,0,1,0.5,1,1,1,1,1,0.666667,1,1,1,1,0,1,1,1,0.5,1,1,1,1,1,1,1,0.666667,0.666667,0.5,1,0.5,1,1,1,1,1,1,1,1,1,0.666667,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,0.5]
precision
0.865625 [1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,0.666667,1,1,1,1,1,1,0,1,1,0,1,1,1,1,1,1,1,0,0.5,1,0,1,1,0,0,0.5,1,1,1,1,1,0.333333,1,1,1,0.5,1,0.666667,1,1,1,1,1,1,1,1,1,1,0.666667,0.5,0.5,0.5,0.666667,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.666667,0.333333,1,1,1,1,1,1,1,0.333333,0.666667,1,1,1]
precision
0.871875 [1,1,1,1,1,1,1,1,0,1,1,0,1,1,0,1,0.5,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,0,1,0.666667,0.666667,1,0.333333,1,1,1,1,0.5,0.333333,1,1,1,0.5,1,1,1,1,1,1,1,1,0.5,1,0.5,1,1,1,1,0.5,1,1,0.666667,1,1,0.5,1,1,1,1,1,0,1,1,1,1,1,0.666667,0.5,0,1,1,0,1,0.5,1,1,1,0.666667]
precision
0.881042 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,0.666667,1,0,1,1,0,1,0.666667,0,1,1,1,1,1,0.666667,1,1,0.5,1,1,1,0.666667,1,0.666667,1,1,1,1,0.4,1,1,1,1,0.666667,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,0.5,1,0,0,0.5,0,0.666667,1,1,1,0.5,1,1,1,1,1,0.5,1,1,0.666667,1]
precision
0.873958 [0.5,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,0.333333,0,0.666667,1,1,1,0,1,1,1,1,0,1,1,1,1,1,1,1,1,1,0.666667,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.666667,1,0.333333,1,1,1,0,1,1,1,0,1,1,1,1,1,1,1,1,0,1,1,1,1,0.666667,0.5,0.666667,1,0,1,1,0.5,1,0.5,1,1,1]
precision
0.833333 [1,1,0.5,1,1,1,0.5,0.666667,1,0,1,0.666667,1,1,1,1,0,1,1,1,1,0.5,1,1,0,1,1,0,1,1,1,1,0,1,1,1,0.5,0.5,1,1,1,1,1,0,1,1,0.5,1,1,1,1,0.5,1,1,0.666667,1,1,0.5,0.5,1,1,1,1,1,0.5,0.666667,1,1,1,0,0.5,0,1,1,1,1,1,1,0.5,1,1,1,0.666667,1,0.5,1,0,1,1,1,1,1,0.666667,1,1,0.5,0.666667,1,1,1]
precision
0.865625 [0,1,1,1,1,0.666667,1,0.666667,1,1,1,1,1,0.5,1,1,1,1,1,1,0.5,0.5,1,1,1,0.5,0.666667,1,1,1,1,0.666667,1,0.5,1,1,1,1,1,1,1,1,1,0,0,0.5,1,1,0.5,1,0.666667,0.5,1,1,0,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,0,0.5,1,1,0.666667,1,1,1,1,1,0.333333,1,1,1,1,1,1,1,1,0.666667,0,0.5,1,1,1,1,1,0.333333,1]
precision
0.875262 [1,1,1,0.666667,0.5,1,1,0.5,1,0.666667,1,1,1,1,1,1,0,1,1,1,0.5,0,1,1,1,1,1,1,1,1,1,1,1,0.333333,1,0,1,1,1,1,1,1,1,1,1,0.5,0,1,1,0,1,1,1,1,0,0.5,1,0.666667,1,1,1,1,0.666667,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,0.666667,1,1,1,0.5,1,0.5,1,0.666667,1,1,1,1,0.666667,1,1,0.5,1]
predictive_accuracy
0.85625
predictive_accuracy
0.825
predictive_accuracy
0.89375
predictive_accuracy
0.85
predictive_accuracy
0.86875
predictive_accuracy
0.88125
predictive_accuracy
0.8875
predictive_accuracy
0.84375
predictive_accuracy
0.85625
predictive_accuracy
0.874214
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
0.85625 [1,1,0,1,0.5,0.5,0.5,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,0.5,1,0.5,0.5,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,0.5,0.5,0,1,0,1,1,1,0.5,0.5,1,1,0.5,0.5,1,1,1,1]
recall
0.825 [1,1,1,1,1,0,1,1,1,1,1,1,1,1,0.5,1,0.5,1,1,0.5,1,0.5,1,1,0.5,0,0,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,0,0.5,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,0,1,0.5,1,0.5,1,1,1,1,0.5,1,1,1,1,1,0,0.5,1,1,0.5,1,1,1,1,0.5,1,1,1,0,1,1,1,0]
recall
0.89375 [1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,0.5,1,1,1,0.5,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,0.5,1,0.5,1,1,1,0.5,0,1,1,1,1,0.5,1,1,1,1,1,1,1,1]
recall
0.85 [1,1,0.5,1,1,1,0,1,1,1,1,1,1,1,0.5,1,0.5,1,1,1,1,0.5,1,1,0,1,1,0,1,1,1,1,1,1,1,0,1,1,0,1,1,0,0,1,0.5,1,1,0.5,1,1,1,1,1,0.5,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,0,1,1,0.5,1,0.5,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1]
recall
0.86875 [1,1,0.5,1,1,1,1,1,0,1,0.5,0,1,1,0,1,0.5,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0.5,0.5,0.5,0.5,1,1,1,0.5,1,1,1,0.5,0.5,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,0,1,1,1,0.5,1,1,1,0,1,1,0,1,1,1,1,1,1]
recall
0.88125 [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,0.5,0,1,1,0,1,1,1,0.5,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,0.5,1,1,1,1,0.5,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,0.5,1,0,0,1,0,1,1,1,1,1,1,0.5,0.5,1,1,1,0.5,1,1,1]
recall
0.8875 [1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,1,1,1,1,1,1,1,1,1,0,1,0.5,1,1,0,1,1,1,1,0,1,0.5,1,0.5,1,0.5,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1]
recall
0.84375 [1,1,0.5,1,1,1,1,1,0.5,0,0.5,1,1,1,1,1,0,0.5,1,0.5,1,1,1,1,0,1,1,0,1,1,1,1,0,1,1,0.5,1,1,0.5,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,1,1,1,1,1,1,1,0.5,1,0,1,0,1,1,1,1,1,1,0.5,0.5,1,1,1,1,0.5,1,0,1,1,1,1,1,1,1,1,0.5,1,1,1,1]
recall
0.85625 [0,1,1,1,0.5,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,0.5,1,1,0.5,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,1,1,1,0.5,1,0,0,1,1,1,0.5,0.5,1,1,1,0.5,0,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,0,0.5,0,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,0.5]
recall
0.874214 [1,0.5,1,1,0.5,1,0.5,1,1,1,1,0.5,0.5,1,1,1,0,1,1,1,1,0,1,1,0.5,1,1,0.5,1,1,1,1,1,1,1,0,1,1,0.5,1,1,0.5,1,1,1,1,0,1,1,0,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1]
relative_absolute_error
0.145202
relative_absolute_error
0.176767
relative_absolute_error
0.107323
relative_absolute_error
0.151515
relative_absolute_error
0.132576
relative_absolute_error
0.11995
relative_absolute_error
0.113637
relative_absolute_error
0.157829
relative_absolute_error
0.145202
relative_absolute_error
0.127057
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
0.053619
root_mean_squared_error
0.059161
root_mean_squared_error
0.046098
root_mean_squared_error
0.054772
root_mean_squared_error
0.051235
root_mean_squared_error
0.048734
root_mean_squared_error
0.047434
root_mean_squared_error
0.055902
root_mean_squared_error
0.053619
root_mean_squared_error
0.050157
root_relative_squared_error
0.538891
root_relative_squared_error
0.594587
root_relative_squared_error
0.463299
root_relative_squared_error
0.550481
root_relative_squared_error
0.514928
root_relative_squared_error
0.489796
root_relative_squared_error
0.476732
root_relative_squared_error
0.561834
root_relative_squared_error
0.538893
root_relative_squared_error
0.504098
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