4112528
1
Jan van Rijn
9954
Supervised Classification
6840
sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,classifier=sklearn.tree.tree.DecisionTreeClassifier)(1)
2149146
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
1.1718070839402668
6841
max_features
1.0
6841
max_leaf_nodes
null
6841
min_impurity_split
1e-07
6841
min_samples_leaf
7
6841
min_samples_split
2
6841
min_weight_fraction_leaf
0.0
6841
presort
false
6841
random_state
975
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
9196814
description
https://api.openml.org/data/download/9196814/description.xml
-1
9196815
predictions
https://api.openml.org/data/download/9196815/predictions.arff
area_under_roc_curve
0.6852527225378786 [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
0.002243835943254353 [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
0.002525252525252526
kb_relative_information_score
192.55260166026724
mean_absolute_error
0.019650269711017486
mean_prior_absolute_error
0.019800000000000036
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
0.0012512639683534567 [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
6.6438561897747395
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
0.9924378641928004
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09914816035853351
root_relative_squared_error
0.9964765047371045
total_cost
0
area_under_roc_curve
0.7029983679643332 [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
0.7023699347185739 [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
0.6923622721120921 [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
0.6835512698033596 [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
0.7004020380542954 [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
0.6964144972534037 [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
0.7100847862431335 [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
0.7063271236366525 [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
0.7024261603375521 [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
0.7134832019743657 [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
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.0003246753246753247 [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
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.006289308176100629
kappa
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kappa
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kb_relative_information_score
19.518967717483765
kb_relative_information_score
19.30730433237767
kb_relative_information_score
18.98610108435397
kb_relative_information_score
19.008865730354106
kb_relative_information_score
19.250922260208007
kb_relative_information_score
19.375063926469252
kb_relative_information_score
19.552531390709397
kb_relative_information_score
19.420265389675617
kb_relative_information_score
19.009376122622665
kb_relative_information_score
19.12320370601408
mean_absolute_error
0.01964461921951822
mean_absolute_error
0.019654058664222644
mean_absolute_error
0.0196590367547861
mean_absolute_error
0.01965357742641285
mean_absolute_error
0.01965473180457466
mean_absolute_error
0.019646870622308528
mean_absolute_error
0.01964462562479337
mean_absolute_error
0.019645696033742846
mean_absolute_error
0.019651367193282303
mean_absolute_error
0.019648113766534244
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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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
0.00016118633139909736 [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
0.00015686274509803922 [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
0.00015634771732332708 [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
0.0001582528881152081 [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
0.0001582528881152081 [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
0.00015926102882624622 [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
0.00015873015873015873 [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
0.00016458196181698485 [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
0.00016458196181698485 [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
0.00016194331983805668 [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
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
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
0.9921524858342521
relative_absolute_error
0.9926292254657885
relative_absolute_error
0.9928806441811144
relative_absolute_error
0.9926049205259
relative_absolute_error
0.9926632224532639
relative_absolute_error
0.9922661930458836
relative_absolute_error
0.9921528093329968
relative_absolute_error
0.9922068703910512
relative_absolute_error
0.9924932925900137
relative_absolute_error
0.9923289781077884
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_squared_error
0.09911753336560203
root_mean_squared_error
0.099163955249312
root_mean_squared_error
0.0991924433360416
root_mean_squared_error
0.09917799616767559
root_mean_squared_error
0.09917021493692167
root_mean_squared_error
0.09913591573556511
root_mean_squared_error
0.09912558284252278
root_mean_squared_error
0.09911569035139407
root_mean_squared_error
0.0991475110966543
root_mean_squared_error
0.09913472812847991
root_relative_squared_error
0.9961686918764666
root_relative_squared_error
0.9966352493623074
root_relative_squared_error
0.9969215654067838
root_relative_squared_error
0.9967763659014711
root_relative_squared_error
0.9966981615899018
root_relative_squared_error
0.9963534416459364
root_relative_squared_error
0.9962495921634507
root_relative_squared_error
0.9961501688867361
root_relative_squared_error
0.9964699794096985
root_relative_squared_error
0.9963415057456335
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
271.9136860000617
usercpu_time_millis
184.1238990001557
usercpu_time_millis
157.18088200003422
usercpu_time_millis
158.17975199990997
usercpu_time_millis
157.4612839999645
usercpu_time_millis
180.58605299995634
usercpu_time_millis
160.02055500007373
usercpu_time_millis
158.71488100003717
usercpu_time_millis
158.5946079999303
usercpu_time_millis
156.92998099996203
usercpu_time_millis_testing
1.2753160000329444
usercpu_time_millis_testing
0.9094650000633919
usercpu_time_millis_testing
0.8841280000524421
usercpu_time_millis_testing
0.9086709999337472
usercpu_time_millis_testing
0.9013549999963288
usercpu_time_millis_testing
0.9070060000340163
usercpu_time_millis_testing
0.9244310000440237
usercpu_time_millis_testing
0.8859460000394392
usercpu_time_millis_testing
0.903165999943667
usercpu_time_millis_testing
0.8880799999815281
usercpu_time_millis_training
270.6383700000288
usercpu_time_millis_training
183.2144340000923
usercpu_time_millis_training
156.29675399998177
usercpu_time_millis_training
157.27108099997622
usercpu_time_millis_training
156.55992899996818
usercpu_time_millis_training
179.67904699992232
usercpu_time_millis_training
159.0961240000297
usercpu_time_millis_training
157.82893499999773
usercpu_time_millis_training
157.69144199998664
usercpu_time_millis_training
156.0419009999805