4063023
1
Jan van Rijn
9954
Supervised Classification
6840
sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,classifier=sklearn.tree.tree.DecisionTreeClassifier)(1)
2099661
axis
0
6758
copy
true
6758
missing_values
"NaN"
6758
strategy
"most_frequent"
6758
verbose
0
6758
class_weight
null
6841
criterion
"entropy"
6841
max_depth
1.2208865419155255
6841
max_features
1.0
6841
max_leaf_nodes
null
6841
min_impurity_split
1e-07
6841
min_samples_leaf
10
6841
min_samples_split
15
6841
min_weight_fraction_leaf
0.0
6841
presort
false
6841
random_state
8083
6841
splitter
"best"
6841
openml-pimp
openml-python
Sklearn_0.18.1.
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
9097765
description
https://api.openml.org/data/download/9097765/description.xml
-1
9097764
predictions
https://api.openml.org/data/download/9097764/predictions.arff
area_under_roc_curve
0.685253 [0.591777,0.712397,0.730291,0.47889,0.595565,0.646425,0.699673,0.709438,0.66426,0.769689,0.625493,0.730291,0.699673,0.469263,0.712397,0.669902,0.757674,0.757674,0.753393,0.769689,0.783341,0.65258,0.769689,0.704979,0.783341,0.757674,0.757674,0.543462,0.676926,0.709438,0.781822,0.766414,0.693241,0.743549,0.748639,0.783341,0.783341,0.783341,0.697562,0.757674,0.714607,0.612334,0.699673,0.699673,0.656467,0.699673,0.709438,0.629616,0.422368,0.730291,0.712397,0.699673,0.697562,0.676926,0.644018,0.769689,0.781822,0.709438,0.631116,0.582268,0.783341,0.528685,0.60318,0.667673,0.709438,0.757674,0.766414,0.769689,0.537445,0.495344,0.663727,0.721157,0.781822,0.61991,0.697562,0.712397,0.730291,0.692807,0.702513,0.641769,0.647195,0.643012,0.458965,0.567195,0.699673,0.683811,0.699673,0.691406,0.633898,0.697562,0.766414,0.69188,0.47749,0.712397,0.572345,0.699673,0.709438,0.66426,0.781822,0.743391]
average_cost
0
f_measure
0.002244 [0,0.021858,0.019139,0.023121,0,0.018182,0.021858,0.019802,0,0.028708,0,0,0,0,0,0,0.027027,0,0.025641,0,0,0,0,0,0,0,0,0,0,0,0.019048,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
kappa
0.002525
kb_relative_information_score
192.552602
mean_absolute_error
0.01965
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
0.001251 [0,0.011429,0.010363,0.012739,0,0.010638,0.011976,0.011765,0,0.015544,0,0,0,0,0,0,0.015152,0,0.014286,0,0,0,0,0,0,0,0,0,0,0,0.011236,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
predictive_accuracy
0.0125
prior_entropy
6.643856
recall
0.0125 [0,0.25,0.125,0.125,0,0.0625,0.125,0.0625,0,0.1875,0,0,0,0,0,0,0.125,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0.0625,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.992438
root_mean_prior_squared_error
0.099499
root_mean_squared_error
0.099148
root_relative_squared_error
0.996477
total_cost
0
area_under_roc_curve
0.702998 [0.707547,0.708861,0.708861,0.204403,0.455696,0.707547,0.708861,0.707547,0.708861,0.795597,0.708861,0.708861,0.708861,0.291139,0.708861,0.707547,0.797468,0.797468,0.797468,0.795597,0.795597,0.707547,0.795597,0.707547,0.795597,0.797468,0.797468,0.708861,0.708861,0.707547,0.797468,0.797468,0.797468,0.797468,0.797468,0.795597,0.795597,0.795597,0.707547,0.797468,0.795597,0.795597,0.708861,0.708861,0.708861,0.708861,0.707547,0.707547,0.708861,0.708861,0.708861,0.708861,0.707547,0.708861,0.707547,0.795597,0.797468,0.707547,0.707547,0.455696,0.795597,0.707547,0.544304,0.708861,0.707547,0.797468,0.797468,0.795597,0.292453,0.707547,0.797468,0.795597,0.797468,0.544304,0.707547,0.708861,0.708861,0.797468,0.797468,0.544304,0.708861,0.291139,0.204403,0.707547,0.708861,0.708861,0.708861,0.708861,0.544304,0.707547,0.797468,0.707547,0.797468,0.708861,0.455696,0.708861,0.707547,0.708861,0.797468,0.795597]
area_under_roc_curve
0.70237 [0.735849,0.737342,0.737342,0.767296,0.768987,0.767296,0.737342,0.735849,0.484177,0.767296,0.515823,0.737342,0.737342,0.768987,0.737342,0.735849,0.768987,0.768987,0.768987,0.767296,0.767296,0.735849,0.767296,0.735849,0.767296,0.768987,0.768987,0.231013,0.737342,0.735849,0.768987,0.768987,0.515823,0.515823,0.262658,0.767296,0.767296,0.767296,0.735849,0.768987,0.767296,0.767296,0.737342,0.737342,0.737342,0.737342,0.735849,0.735849,0.262658,0.737342,0.737342,0.737342,0.735849,0.737342,0.735849,0.767296,0.768987,0.735849,0.767296,0.737342,0.767296,0.735849,0.768987,0.737342,0.735849,0.768987,0.768987,0.767296,0.735849,0.735849,0.515823,0.767296,0.768987,0.768987,0.735849,0.737342,0.737342,0.515823,0.768987,0.768987,0.737342,0.768987,0.264151,0.264151,0.737342,0.484177,0.737342,0.737342,0.737342,0.735849,0.768987,0.767296,0.768987,0.737342,0.768987,0.737342,0.735849,0.484177,0.768987,0.767296]
area_under_roc_curve
0.692362 [0.759494,0.759494,0.759494,0.745283,0.493671,0.240506,0.757862,0.759494,0.506329,0.746835,0.493671,0.759494,0.757862,0.746835,0.759494,0.759494,0.746835,0.746835,0.242138,0.746835,0.745283,0.254717,0.746835,0.757862,0.745283,0.746835,0.746835,0.757862,0.759494,0.759494,0.745283,0.746835,0.746835,0.746835,0.242138,0.745283,0.745283,0.745283,0.757862,0.746835,0.746835,0.745283,0.757862,0.757862,0.506329,0.757862,0.759494,0.757862,0.746835,0.759494,0.759494,0.757862,0.757862,0.759494,0.757862,0.746835,0.745283,0.759494,0.745283,0.759494,0.745283,0.254717,0.746835,0.757862,0.759494,0.746835,0.746835,0.746835,0.757862,0.253165,0.240506,0.746835,0.745283,0.746835,0.757862,0.759494,0.759494,0.746835,0.746835,0.746835,0.757862,0.746835,0.746835,0.493671,0.757862,0.254717,0.757862,0.759494,0.759494,0.757862,0.746835,0.745283,0.242138,0.759494,0.493671,0.757862,0.759494,0.506329,0.745283,0.746835]
area_under_roc_curve
0.683551 [0.724684,0.724684,0.724684,0.27673,0.471519,0.724684,0.72327,0.724684,0.724684,0.781646,0.724684,0.724684,0.72327,0.218354,0.724684,0.724684,0.781646,0.781646,0.779874,0.781646,0.779874,0.72327,0.781646,0.72327,0.779874,0.781646,0.781646,0.72327,0.724684,0.724684,0.779874,0.781646,0.781646,0.781646,0.779874,0.779874,0.779874,0.779874,0.72327,0.781646,0.781646,0.779874,0.72327,0.72327,0.724684,0.72327,0.724684,0.72327,0.218354,0.724684,0.724684,0.72327,0.72327,0.724684,0.72327,0.781646,0.779874,0.724684,0.72327,0.724684,0.779874,0.220126,0.275316,0.72327,0.724684,0.781646,0.781646,0.781646,0.27673,0.471519,0.781646,0.528481,0.779874,0.781646,0.72327,0.724684,0.724684,0.528481,0.781646,0.528481,0.220126,0.528481,0.275316,0.471519,0.72327,0.72327,0.72327,0.724684,0.528481,0.72327,0.781646,0.72327,0.779874,0.724684,0.471519,0.72327,0.724684,0.724684,0.779874,0.781646]
area_under_roc_curve
0.700402 [0.781646,0.779874,0.781646,0.724684,0.72327,0.471519,0.779874,0.781646,0.779874,0.724684,0.275316,0.781646,0.779874,0.220126,0.779874,0.528481,0.724684,0.724684,0.72327,0.724684,0.724684,0.528481,0.724684,0.781646,0.724684,0.724684,0.724684,0.779874,0.779874,0.781646,0.72327,0.72327,0.724684,0.724684,0.72327,0.724684,0.724684,0.724684,0.781646,0.724684,0.724684,0.724684,0.779874,0.779874,0.779874,0.779874,0.781646,0.275316,0.471519,0.781646,0.779874,0.779874,0.781646,0.779874,0.528481,0.724684,0.72327,0.781646,0.724684,0.27673,0.724684,0.781646,0.72327,0.779874,0.781646,0.724684,0.72327,0.724684,0.528481,0.528481,0.471519,0.724684,0.72327,0.72327,0.781646,0.779874,0.781646,0.724684,0.724684,0.72327,0.779874,0.724684,0.724684,0.724684,0.779874,0.779874,0.779874,0.779874,0.781646,0.781646,0.72327,0.724684,0.220126,0.779874,0.724684,0.779874,0.781646,0.779874,0.72327,0.471519]
area_under_roc_curve
0.696414 [0.46519,0.716981,0.718354,0.212025,0.716981,0.718354,0.716981,0.718354,0.716981,0.787975,0.718354,0.718354,0.716981,0.283019,0.716981,0.718354,0.787975,0.787975,0.786164,0.787975,0.787975,0.718354,0.787975,0.718354,0.787975,0.787975,0.787975,0.716981,0.716981,0.718354,0.786164,0.786164,0.53481,0.787975,0.786164,0.787975,0.787975,0.787975,0.718354,0.787975,0.787975,0.281646,0.716981,0.716981,0.716981,0.716981,0.718354,0.718354,0.46519,0.718354,0.716981,0.716981,0.718354,0.716981,0.718354,0.787975,0.786164,0.718354,0.718354,0.716981,0.787975,0.718354,0.786164,0.716981,0.718354,0.787975,0.786164,0.787975,0.53481,0.718354,0.53481,0.787975,0.786164,0.786164,0.718354,0.716981,0.718354,0.787975,0.787975,0.786164,0.716981,0.787975,0.281646,0.46519,0.716981,0.716981,0.716981,0.716981,0.281646,0.718354,0.786164,0.718354,0.283019,0.716981,0.46519,0.716981,0.718354,0.716981,0.786164,0.787975]
area_under_roc_curve
0.710085 [0.468354,0.720126,0.720126,0.21519,0.720126,0.721519,0.721519,0.721519,0.720126,0.78481,0.720126,0.720126,0.721519,0.279874,0.720126,0.721519,0.783019,0.783019,0.78481,0.78481,0.78481,0.721519,0.78481,0.721519,0.78481,0.783019,0.783019,0.721519,0.720126,0.721519,0.78481,0.783019,0.783019,0.783019,0.78481,0.78481,0.78481,0.78481,0.721519,0.783019,0.78481,0.78481,0.721519,0.721519,0.720126,0.721519,0.721519,0.468354,0.720126,0.720126,0.720126,0.721519,0.721519,0.720126,0.721519,0.78481,0.78481,0.721519,0.468354,0.720126,0.78481,0.721519,0.783019,0.468354,0.721519,0.783019,0.783019,0.78481,0.531646,0.468354,0.783019,0.78481,0.78481,0.279874,0.721519,0.720126,0.720126,0.783019,0.783019,0.783019,0.721519,0.783019,0.278481,0.721519,0.721519,0.721519,0.721519,0.720126,0.783019,0.721519,0.783019,0.721519,0.78481,0.720126,0.720126,0.721519,0.721519,0.720126,0.78481,0.78481]
area_under_roc_curve
0.706327 [0.696203,0.694969,0.694969,0.556962,0.694969,0.696203,0.696203,0.696203,0.694969,0.810127,0.694969,0.694969,0.696203,0.305031,0.694969,0.696203,0.808176,0.808176,0.810127,0.810127,0.810127,0.696203,0.810127,0.696203,0.810127,0.808176,0.808176,0.443038,0.694969,0.696203,0.810127,0.808176,0.808176,0.808176,0.810127,0.810127,0.810127,0.810127,0.696203,0.808176,0.810127,0.556962,0.696203,0.696203,0.694969,0.696203,0.696203,0.696203,0.694969,0.694969,0.694969,0.696203,0.696203,0.694969,0.696203,0.810127,0.810127,0.696203,0.696203,0.694969,0.810127,0.696203,0.305031,0.696203,0.696203,0.808176,0.808176,0.810127,0.556962,0.696203,0.808176,0.810127,0.810127,0.305031,0.696203,0.694969,0.694969,0.808176,0.808176,0.305031,0.696203,0.808176,0.189873,0.696203,0.696203,0.696203,0.696203,0.694969,0.808176,0.696203,0.808176,0.696203,0.303797,0.694969,0.694969,0.696203,0.696203,0.694969,0.810127,0.810127]
area_under_roc_curve
0.702426 [0.191824,0.696203,0.694969,0.303797,0.696203,0.694969,0.696203,0.694969,0.696203,0.808176,0.694969,0.694969,0.696203,0.556962,0.696203,0.694969,0.808176,0.808176,0.810127,0.808176,0.810127,0.696203,0.808176,0.696203,0.810127,0.808176,0.808176,0.696203,0.443038,0.694969,0.810127,0.810127,0.808176,0.808176,0.810127,0.810127,0.810127,0.810127,0.696203,0.808176,0.305031,0.810127,0.696203,0.696203,0.696203,0.696203,0.694969,0.696203,0.694969,0.694969,0.696203,0.696203,0.696203,0.443038,0.696203,0.808176,0.810127,0.694969,0.443038,0.696203,0.810127,0.696203,0.556962,0.696203,0.694969,0.808176,0.810127,0.808176,0.556962,0.694969,0.808176,0.808176,0.810127,0.810127,0.696203,0.696203,0.694969,0.808176,0.808176,0.556962,0.696203,0.808176,0.694969,0.694969,0.696203,0.696203,0.696203,0.696203,0.305031,0.696203,0.810127,0.696203,0.556962,0.696203,0.694969,0.696203,0.694969,0.696203,0.810127,0.808176]
area_under_roc_curve
0.713483 [0.201258,0.705696,0.704403,0.547468,0.705696,0.704403,0.705696,0.704403,0.705696,0.798742,0.704403,0.704403,0.705696,0.547468,0.705696,0.704403,0.798742,0.798742,0.800633,0.798742,0.800633,0.705696,0.798742,0.705696,0.800633,0.798742,0.798742,0.705696,0.705696,0.704403,0.800633,0.800633,0.798742,0.798742,0.800633,0.800633,0.800633,0.800633,0.705696,0.798742,0.798742,0.547468,0.705696,0.705696,0.705696,0.705696,0.704403,0.705696,0.704403,0.704403,0.705696,0.705696,0.705696,0.705696,0.705696,0.798742,0.800633,0.704403,0.705696,0.705696,0.800633,0.199367,0.800633,0.705696,0.704403,0.798742,0.800633,0.798742,0.547468,0.704403,0.798742,0.798742,0.800633,0.800633,0.705696,0.705696,0.704403,0.798742,0.295597,0.800633,0.705696,0.295597,0.704403,0.704403,0.705696,0.705696,0.705696,0.705696,0.798742,0.705696,0.800633,0.705696,0.800633,0.705696,0.201258,0.705696,0.704403,0.705696,0.800633,0.798742]
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
0.000318 [0,0,0,0,0,0.021053,0,0,0,0.029851,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.00031 [0,0,0,0.026316,0,0,0,0.023256,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.000309 [0,0,0,0.024096,0,0,0.025316,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.000313 [0,0,0,0,0,0,0.022222,0,0,0,0,0,0,0,0,0,0,0,0.027778,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.000313 [0,0.027778,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.022222,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.000314 [0,0.021739,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.028571,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.000313 [0,0.021978,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.028169,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.000325 [0,0.020202,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.031746,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.000325 [0,0,0.020202,0,0,0,0,0,0,0.031746,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.00032 [0,0,0.020833,0,0,0,0,0,0,0.030303,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
kappa
0.006289
kappa
0.006289
kappa
0.006289
kappa
0.006289
kappa
0.006289
kappa
0.006289
kappa
0.006289
kappa
0.006289
kappa
0.006289
kappa
0.006289
kb_relative_information_score
19.518968
kb_relative_information_score
19.307304
kb_relative_information_score
18.986101
kb_relative_information_score
19.008866
kb_relative_information_score
19.250922
kb_relative_information_score
19.375064
kb_relative_information_score
19.552531
kb_relative_information_score
19.420265
kb_relative_information_score
19.009376
kb_relative_information_score
19.123204
mean_absolute_error
0.019645
mean_absolute_error
0.019654
mean_absolute_error
0.019659
mean_absolute_error
0.019654
mean_absolute_error
0.019655
mean_absolute_error
0.019647
mean_absolute_error
0.019645
mean_absolute_error
0.019646
mean_absolute_error
0.019651
mean_absolute_error
0.019648
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 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1]
number_of_instances
160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1]
number_of_instances
160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2]
number_of_instances
160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2]
number_of_instances
160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2]
number_of_instances
160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2]
number_of_instances
160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2]
number_of_instances
160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2]
number_of_instances
160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1]
number_of_instances
160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1]
precision
0.000161 [0,0,0,0,0,0.010638,0,0,0,0.015152,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.000157 [0,0,0,0.013333,0,0,0,0.011765,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.000156 [0,0,0,0.012195,0,0,0.012821,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.000158 [0,0,0,0,0,0,0.011236,0,0,0,0,0,0,0,0,0,0,0,0.014085,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.000158 [0,0.014085,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.011236,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.000159 [0,0.010989,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.014493,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.000159 [0,0.011111,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.014286,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.000165 [0,0.010204,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.016129,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.000165 [0,0,0.010204,0,0,0,0,0,0,0.016129,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.000162 [0,0,0.010526,0,0,0,0,0,0,0.015385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
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
0.0125 [0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.992152
relative_absolute_error
0.992629
relative_absolute_error
0.992881
relative_absolute_error
0.992605
relative_absolute_error
0.992663
relative_absolute_error
0.992266
relative_absolute_error
0.992153
relative_absolute_error
0.992207
relative_absolute_error
0.992493
relative_absolute_error
0.992329
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
0.099118
root_mean_squared_error
0.099164
root_mean_squared_error
0.099192
root_mean_squared_error
0.099178
root_mean_squared_error
0.09917
root_mean_squared_error
0.099136
root_mean_squared_error
0.099126
root_mean_squared_error
0.099116
root_mean_squared_error
0.099148
root_mean_squared_error
0.099135
root_relative_squared_error
0.996169
root_relative_squared_error
0.996635
root_relative_squared_error
0.996922
root_relative_squared_error
0.996776
root_relative_squared_error
0.996698
root_relative_squared_error
0.996353
root_relative_squared_error
0.99625
root_relative_squared_error
0.99615
root_relative_squared_error
0.99647
root_relative_squared_error
0.996342
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
152.79122600009032
usercpu_time_millis
150.30094100006863
usercpu_time_millis
148.56707599983565
usercpu_time_millis
149.5276040002409
usercpu_time_millis
148.71438299996953
usercpu_time_millis
151.15462099993238
usercpu_time_millis
151.3138320001417
usercpu_time_millis
152.01140499993926
usercpu_time_millis
149.5060399997783
usercpu_time_millis
148.6135939999258
usercpu_time_millis_testing
0.9202090000144381
usercpu_time_millis_testing
0.9458409999751893
usercpu_time_millis_testing
0.8910300000479765
usercpu_time_millis_testing
0.8355100001153914
usercpu_time_millis_testing
0.8388829999148584
usercpu_time_millis_testing
0.8654199998545664
usercpu_time_millis_testing
0.85301400008575
usercpu_time_millis_testing
0.8472219999475783
usercpu_time_millis_testing
0.842000999909942
usercpu_time_millis_testing
0.8544929999061424
usercpu_time_millis_training
151.87101700007588
usercpu_time_millis_training
149.35510000009344
usercpu_time_millis_training
147.67604599978768
usercpu_time_millis_training
148.6920940001255
usercpu_time_millis_training
147.87550000005467
usercpu_time_millis_training
150.2892010000778
usercpu_time_millis_training
150.46081800005595
usercpu_time_millis_training
151.16418299999168
usercpu_time_millis_training
148.66403899986835
usercpu_time_millis_training
147.75910100001965