10111122
1
Jan van Rijn
9954
Supervised Classification
8815
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1)
8036394
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"median"
8778
verbose
0
8778
copy
true
8779
with_mean
true
8779
with_std
true
8779
memory
null
8780
copy
true
8781
fill_value
-1
8781
missing_values
NaN
8781
strategy
"constant"
8781
verbose
0
8781
categorical_features
null
8782
categories
null
8782
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8782
handle_unknown
"ignore"
8782
n_values
null
8782
sparse
true
8782
class_weight
null
8783
criterion
"gini"
8783
max_depth
null
8783
max_features
1.0
8783
max_leaf_nodes
null
8783
min_impurity_decrease
0.0
8783
min_impurity_split
null
8783
min_samples_leaf
18
8783
min_samples_split
6
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
8007
8783
splitter
"best"
8783
n_jobs
null
8812
remainder
"passthrough"
8812
sparse_threshold
0.3
8812
transformer_weights
null
8812
memory
null
8813
memory
null
8815
threshold
0.0
8816
openml-python
Sklearn_0.20.0.
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
21142782
description
https://api.openml.org/data/download/21142782/description.xml
-1
21142783
predictions
https://api.openml.org/data/download/21142783/predictions.arff
area_under_roc_curve
0.8715297506313129 [0.87212,0.85681,0.897865,0.869732,0.897057,0.889027,0.953658,0.979502,0.857323,0.966738,0.825462,0.926334,0.920948,0.843355,0.956656,0.763455,0.965436,0.904849,0.803602,0.858625,0.831183,0.880504,0.845151,0.932726,0.85904,0.774542,0.793265,0.851148,0.863577,0.930062,0.928504,0.803839,0.890822,0.825225,0.954013,0.957564,0.86121,0.874014,0.793225,0.958787,0.864011,0.823824,0.932311,0.78488,0.885614,0.793699,0.868134,0.928247,0.916529,0.798572,0.937914,0.858645,0.860598,0.815124,0.921027,0.911952,0.996015,0.895577,0.950541,0.812914,0.963443,0.83578,0.925663,0.851503,0.860598,0.855863,0.787109,0.949554,0.670139,0.805674,0.901969,0.931009,0.822483,0.828737,0.825994,0.845427,0.960227,0.771622,0.900312,0.920948,0.733704,0.92369,0.786774,0.961352,0.889047,0.88447,0.962575,0.859,0.885614,0.766059,0.862374,0.927971,0.736683,0.739879,0.876026,0.860717,0.78632,0.95277,0.840396,0.930417]
average_cost
0
kappa
0.34848484848484845
kb_relative_information_score
846.1577596474465
mean_absolute_error
0.014965602425133236
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]
predictive_accuracy
0.355
prior_entropy
6.6438561897747395
recall
0.355 [0.1875,0.4375,0.6875,0.6875,0.625,0.3125,0.5,0.3125,0.1875,0.9375,0.4375,0.625,0.4375,0.0625,0.25,0.5,0.9375,0.125,0,0.0625,0.5625,0.25,0.3125,0.6875,0.5,0,0,0.0625,0.5625,0.5625,0.5625,0.625,0.3125,0.3125,0.4375,0.375,0.4375,0.25,0.125,0.5625,0.6875,0.5,0.6875,0.125,0.0625,0.4375,0.5,0.75,0.3125,0.5,0.375,0.3125,0.375,0.125,0.3125,0.1875,0.5,0.5625,0,0.1875,0.6875,0.625,0.375,0.25,0.5625,0.25,0.4375,0,0,0.125,0,0.1875,0.25,0.25,0.0625,0,0.625,0.0625,0.8125,0,0,0.625,0.4375,0.75,0.5,0.25,0.625,0.3125,0.4375,0.3125,0.625,0.125,0,0,0.1875,0.5,0.125,0.0625,0.125,0.625]
relative_absolute_error
0.7558385063198589
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09071229560825798
root_relative_squared_error
0.9116928739527134
total_cost
0
area_under_roc_curve
0.8632447406655522 [0.987421,0.727848,0.996835,1,0.724684,0.990566,0.996835,0.990566,0.477848,0.993711,0.484177,0.746835,0.731013,0.72943,0.974684,0.959119,0.993671,0.724684,0.699367,0.459119,0.468553,0.921384,0.465409,0.996855,0.971698,0.985759,0.46519,0.97943,0.987342,0.993711,0.727848,0.737342,0.738924,0.727848,0.993671,0.471698,0.996855,0.990566,0.987421,0.996835,1,0.996855,0.990506,0.685127,0.990506,0.987342,0.987421,0.993711,0.996835,0.72943,0.955696,0.992089,0.962264,0.707278,0.984277,0.993711,0.988924,0.996855,0.946541,0.647152,0.996855,0.971698,0.981013,0.977848,0.996855,0.990506,0.484177,0.924528,0.965409,0.987421,0.719937,1,0.490506,0.990506,0.871069,0.968354,0.977848,0.723101,0.993671,0.993671,0.971519,0.993671,0.990566,0.996855,0.949367,0.955696,1,0.996835,0.723101,0.484277,0.990506,0.993711,0.958861,0.719937,0.990506,0.726266,0.990566,0.968354,0.468354,0.996855]
area_under_roc_curve
0.8641147450441842 [0.95283,0.72943,0.987342,1,1,0.943396,0.960443,1,0.996835,1,0.737342,0.973101,0.988924,0.737342,0.987342,0.996855,0.75,0.719937,0.97943,0.981132,0.984277,0.996855,0.993711,0.993711,1,0.719937,0.697785,0.477848,0.996835,0.965409,0.977848,0.477848,0.995253,0.731013,0.987342,0.984277,0.487421,0.968553,0.959119,0.993671,1,0.990566,0.993671,0.487342,0.993671,0.723101,0.990566,0.996855,0.982595,1,0.993671,0.72943,0.984277,0.966772,0.981132,0.930818,1,0.965409,0.993711,0.455696,0.996855,0.481132,0.990506,0.737342,0.996855,0.734177,0.993671,0.990566,0.418239,0.427673,0.954114,1,0.993671,0.982595,0.430818,0.992089,0.746835,0.71519,1,0.933544,0.417722,0.974684,0.937107,0.993711,0.94462,0.732595,0.949367,0.990506,0.993671,0.987421,0.740506,0.993711,0.69462,0.458861,0.724684,1,0.487421,0.737342,0.977848,0.996855]
area_under_roc_curve
0.876749213836478 [0.928797,0.960443,1,0.993711,1,0.724684,0.962264,0.931962,0.966772,0.996835,0.993671,0.957278,0.987421,0.974684,0.993671,0.75,0.996835,0.976266,0.965409,0.710443,0.996855,0.993711,0.987342,0.993711,0.996855,0.71519,0.962025,0.943396,0.737342,1,0.487421,1,0.958861,0.723101,0.993711,0.996855,0.996855,0.462264,0.996855,0.995253,0.735759,0.977987,1,0.990566,0.97943,0.455975,0.746835,1,0.734177,0.746835,0.993671,0.987421,0.987421,0.993671,0.990566,0.993671,1,0.990506,0.971698,0.984177,0.996855,0.987421,0.990506,0.465409,0.713608,0.72943,0.735759,0.96519,0.418239,0.723101,0.707278,0.990506,0.996855,0.723101,0.962264,0.707278,0.996835,0.699367,0.496835,0.995253,0.937107,0.996835,0.700949,0.996835,0.996855,0.993711,1,0.471519,0.990506,0.996855,0.738924,0.987421,0.433962,0.707278,0.946203,0.987421,0.723101,0.97943,0.990566,0.734177]
area_under_roc_curve
0.8698288601624071 [0.954114,0.984177,0.993671,0.974843,0.726266,0.743671,0.984277,1,0.731013,0.996835,0.734177,1,0.971698,0.903481,0.992089,0.732595,1,0.920886,0.459119,0.924051,1,0.984277,0.939873,0.477987,0.965409,0.455696,0.702532,1,1,0.748418,0.993711,0.740506,0.97943,0.985759,0.965409,0.990566,0.996855,0.996855,0.965409,0.993671,0.688291,0.990566,0.990566,0.996855,0.985759,0.993711,0.742089,0.993711,0.916139,0.474684,0.946203,0.981132,0.496855,0.693038,0.977987,0.971519,1,0.987342,0.987421,0.984177,1,0.487421,0.981013,0.987421,0.988924,0.731013,0.976266,0.935127,0.918239,0.718354,0.990506,0.75,0.940252,0.723101,0.974843,0.734177,0.984177,0.712025,0.735759,0.72943,0.459119,0.981013,0.731013,0.990506,0.968553,1,0.977987,0.990506,0.655063,0.465409,0.740506,0.993711,0.959119,0.966772,0.985759,0.474843,0.746835,0.97943,0.984277,0.993671]
area_under_roc_curve
0.858672055369795 [0.738924,0.984277,0.996835,0.75,1,0.96519,0.946541,0.996835,0.918239,0.996835,0.724684,0.712025,0.474843,0.443396,0.990566,0.748418,0.993671,0.984177,0.915094,0.955696,0.987342,0.993671,0.97943,1,0.468354,0.939873,0.914557,0.959119,0.996855,0.996835,0.993711,0.465409,0.735759,0.474684,0.965409,0.985759,0.984177,0.710443,0.743671,0.987342,0.996835,1,0.993711,0.471698,0.896226,0.990566,1,0.996835,0.974684,0.981013,0.893082,0.459119,0.721519,0.468553,0.734177,0.707278,0.996855,0.734177,0.977848,0.45283,0.993671,0.993671,0.990566,0.990566,0.982595,0.974684,0.468553,0.875,0.724684,0.968354,0.982595,0.993671,0.993711,0.996855,0.705696,0.90566,0.987342,0.981013,0.996835,0.993711,0.440252,0.990506,0.493671,1,0.490566,0.471698,0.993711,1,0.993671,0.96519,0.990566,0.740506,0.449686,0.462264,0.477848,0.474843,0.962025,0.987421,0.993711,0.735759]
area_under_roc_curve
0.856756279356739 [0.914557,0.987421,0.719937,0.742089,0.984277,0.982595,0.984277,0.914557,0.996855,0.75,0.982595,0.993671,0.990566,0.468553,0.959119,0.993671,0.990506,0.973101,0.943396,0.955696,0.996835,0.710443,0.704114,1,0.742089,0.963608,0.977848,0.996855,0.468553,0.985759,1,0.993711,0.735759,0.990506,0.996855,0.996835,0.738924,0.977848,0.452532,0.977848,0.996835,0.726266,0.490566,0.974843,0.459119,0.481132,0.746835,0.743671,0.726266,0.738924,0.996855,0.996855,0.732595,0.968553,0.990506,0.96519,1,0.993671,0.984177,0.981132,0.708861,0.996835,0.993711,0.996855,0.732595,0.727848,0.974843,0.996835,0.712025,0.699367,0.985759,0.740506,0.990566,0.996855,0.716772,0.437107,0.990506,0.664557,0.996835,0.993711,0.421384,0.740506,0.724684,0.993671,0.468553,1,0.996855,0.974843,0.971519,0.468354,1,0.738924,0.459119,0.984277,0.94462,0.977987,1,0.981132,0.433962,0.97943]
area_under_roc_curve
0.8802329631398775 [0.993671,0.471698,0.459119,0.742089,0.996855,0.996835,0.990506,0.996835,0.993711,1,1,0.996855,0.996835,0.996855,0.996855,0.474684,0.990566,0.996855,0.996835,0.691456,0.718354,0.927215,0.452532,0.990506,0.981013,0.465409,0.955975,0.971519,0.943396,0.996835,0.993671,0.484277,1,0.965409,1,0.993671,0.735759,0.727848,0.996835,0.484277,0.742089,0.974684,1,0.723101,0.990566,0.990506,0.742089,0.990506,0.996855,0.996855,0.462264,0.732595,0.995253,0.984277,0.962025,0.993671,0.990506,1,0.988924,0.993711,0.993671,1,0.993711,0.712025,0.734177,0.965409,0.459119,0.949367,0.987342,0.723101,0.927673,0.996835,0.732595,0.993711,0.977848,0.459119,0.990566,0.962264,0.990566,0.990566,0.731013,0.996855,0.987342,0.996835,0.993671,0.693038,1,0.487421,0.981132,0.742089,0.990566,0.990506,0.471519,0.440252,0.968553,0.731013,0.990506,0.990566,0.990506,0.996835]
area_under_roc_curve
0.8874960194252048 [0.723101,0.990566,0.996855,0.746835,0.990566,0.743671,1,0.974684,0.977987,1,0.977987,1,0.939873,0.996855,0.493711,0.721519,1,0.974843,0.708861,0.946203,0.731013,0.700949,0.985759,0.990506,0.987342,0.937107,0.855346,0.449367,0.484277,1,0.993671,0.996855,0.996855,0.990566,0.704114,0.981013,0.977848,0.976266,0.990506,0.993711,0.996835,0.732595,0.993671,0.712025,0.965409,0.719937,0.987342,0.957278,0.977987,0.990566,0.993711,0.990506,0.990506,0.993711,0.72943,0.969937,0.990506,0.996835,0.72943,0.468553,0.990506,0.481013,0.990566,0.721519,0.996835,0.993711,0.987421,0.966772,0.433544,0.957278,0.899371,0.993671,0.976266,0.996855,0.950949,0.993711,0.993711,0.943396,0.996855,0.996855,0.96519,0.965409,0.966772,0.996835,0.735759,0.993671,0.995253,0.968553,0.996855,0.734177,0.487421,0.993671,0.71519,0.871069,0.996855,0.996835,0.458861,0.977987,0.962025,0.996835]
area_under_roc_curve
0.8752759035904782 [0.962264,0.990506,0.990566,0.993671,0.727848,0.949686,0.731013,0.987421,0.748418,1,0.981132,0.996855,0.996835,0.988924,0.981013,0.990566,1,0.993711,0.471519,0.968553,1,0.699367,0.930818,0.746835,0.746835,0.455975,0.946541,0.993671,0.743671,0.993711,0.966772,0.993671,0.949686,0.987421,0.976266,0.971519,0.968354,0.916139,0.727848,0.968553,0.996855,0.731013,0.742089,0.941456,0.731013,0.740506,0.993711,0.990506,0.974843,0.955975,0.962025,0.737342,0.990506,0.724684,0.981013,0.465409,0.992089,0.462264,0.996835,0.971519,1,0.75,0.996835,0.984177,0.477987,0.993711,0.693038,0.990566,0.452532,0.987421,0.974843,0.974843,0.732595,0.481013,0.710443,0.971519,0.993711,0.981132,0.996855,0.734177,0.94462,0.993711,0.471698,0.968553,0.993671,0.969937,0.996835,0.726266,0.468553,0.974684,0.984177,0.990506,0.977848,0.710443,0.902516,0.993671,0.955975,0.993671,0.933544,0.990566]
area_under_roc_curve
0.8748957586975555 [0.45283,0.738924,0.477987,0.996835,0.993671,0.996855,0.988924,0.959119,0.985759,1,0.990566,0.996855,0.990506,0.987342,0.996835,0.481132,0.996855,0.955975,0.969937,1,0.484177,0.97943,0.993711,0.993671,0.996835,0.918239,0.471698,0.960443,0.993671,0.474843,0.996835,0.996835,0.996855,0.993711,0.97943,0.987342,0.740506,0.974684,0.487342,0.996855,0.471698,0.43038,0.993671,0.966772,0.740506,0.734177,0.996855,0.735759,0.977987,0.481132,0.933544,0.987342,0.737342,0.724684,1,0.959119,0.993671,0.487421,0.988924,0.993671,0.996835,0.996835,0.493671,0.968354,0.996855,0.968553,0.973101,0.937107,0.724684,0.930818,0.924528,0.996855,0.716772,0.71519,0.938291,0.971519,1,0.446541,0.993711,0.985759,0.726266,0.487421,0.990566,0.490566,0.993671,0.977848,0.740506,0.974684,0.996855,0.740506,0.987342,0.990506,0.955696,0.981013,0.996855,0.97943,0.45283,0.993671,0.721519,0.996855]
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
kappa
0.29915946489878065
kappa
0.368661957937103
kappa
0.36896075724709126
kappa
0.3242549832247878
kappa
0.3432788696819007
kappa
0.36851245214508427
kappa
0.3999921051592784
kappa
0.3432788696819007
kappa
0.3120586959094316
kappa
0.356035197095845
kb_relative_information_score
81.27014863699098
kb_relative_information_score
84.83155316548029
kb_relative_information_score
85.6897967224845
kb_relative_information_score
81.74808308686075
kb_relative_information_score
82.3091971818556
kb_relative_information_score
82.55690562915069
kb_relative_information_score
91.23438492974078
kb_relative_information_score
86.7485805617555
kb_relative_information_score
83.71691992295695
kb_relative_information_score
86.05218981017865
mean_absolute_error
0.015421817642489963
mean_absolute_error
0.014969343281247702
mean_absolute_error
0.014697941413570448
mean_absolute_error
0.015207280015808154
mean_absolute_error
0.01499619412814931
mean_absolute_error
0.015190699135081068
mean_absolute_error
0.014344930143514697
mean_absolute_error
0.014894829370739441
mean_absolute_error
0.015206376341648916
mean_absolute_error
0.01472661277908314
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
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
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]
predictive_accuracy
0.30625
predictive_accuracy
0.375
predictive_accuracy
0.375
predictive_accuracy
0.33125
predictive_accuracy
0.35
predictive_accuracy
0.375
predictive_accuracy
0.40625
predictive_accuracy
0.35
predictive_accuracy
0.31875
predictive_accuracy
0.3625
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
0.30625 [0,0,1,1,0,0,1,0,0,1,0,0.5,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0.5,0.5,0.5,0,0.5,0,1,1,1,0,1,1,1,0,0,0,0,1,1,0.5,0,0,0,0,0,0,0,1,0,0,1,0,0,0.5,1,0.5,0,0,0,1,0,1,0,1,0,0,0,0,1,0,0,1,1,1,0,0.5,1,1,0,0,1,0,0,0,0,0.5,0,0,0,1]
recall
0.375 [0,0,1,1,1,0,0,1,0,1,0.5,0.5,0.5,0,0,1,0.5,0,0,1,1,1,0,0,1,0,0,0,1,0,0,0,0.5,0.5,0,0,0,0,0,1,1,1,1,0,0,0.5,1,1,0.5,1,1,0.5,0,0,0,0,1,0,0,0,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0,0.5,0,1,0,0,0.5,0,1,0,0,0,1,1,1,0.5,1,0,0,0.5,1,0,0.5,0,1]
recall
0.375 [0,0,1,1,1,0,0,0,0.5,1,1,0,0,0,1,0.5,1,0,0,0,1,0,1,1,1,0,0,0,0.5,1,0,1,0,0,1,1,1,0,0,0.5,0.5,0,1,1,0,0,0.5,1,0.5,0.5,0.5,0,1,0,1,0,1,1,0,0,1,1,1,0,0,0,0.5,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0.5,0,0,1,1,1,0,1,1,0.5,0,0,0,0,1,0,0,0,0.5]
recall
0.33125 [0,1,1,0,0.5,0.5,0,1,0,1,0.5,1,0,0,0.5,0.5,1,0,0,0,1,1,0.5,0,0,0,0,1,1,0,0,0.5,0.5,0,0,1,0,1,0,1,0,1,1,1,0,0,0.5,1,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0.5,0.5,0.5,0,0,0.5,0,0.5,0,0,0,0,0.5,0,0.5,0,0,0.5,0.5,1,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,1,1]
recall
0.35 [0.5,1,1,0.5,1,0,0,0,0,1,0.5,0,0,0,1,0.5,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0.5,1,0,0,0,0,0,0.5,0,0.5,1,1,1,1,0,0,1,1,1,0,0.5,0,0,0.5,0,0,0,1,0,0,0,1,1,1,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0.5,0,1,0,0,1,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0]
recall
0.375 [0,0,0,0.5,0,0.5,1,0,1,0.5,0,1,0,0,0,1,1,0,0,0,1,0,0,1,0.5,0,0,0,0,0.5,1,1,0,0.5,1,1,0.5,0.5,0,0,1,0.5,0,0,0,0,0.5,0.5,0,0.5,1,1,0.5,0,0.5,0,1,1,0,0,0,1,1,1,0.5,0.5,1,0,0,0,0,0,1,1,0.5,0,1,0,1,0,0,0.5,0.5,1,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0]
recall
0.40625 [1,0,0,0.5,1,1,0.5,0,0,1,1,1,1,0,0,0,1,0,0,0,0,0,0,1,0.5,0,0,0,0,1,1,0,1,0,1,1,0,0.5,0,0,0.5,0,1,0,0,1,0.5,1,1,1,0,0.5,0.5,0,0,1,0,1,0,1,0,1,1,0,0.5,0,0,0,0,0,0,0,0.5,0,0,0,1,1,1,0,0,1,1,1,1,0,1,0,0,0.5,0,0,0,0,0,0.5,0,0,0,1]
recall
0.35 [0,1,0,0.5,1,0,1,0.5,0,1,0,1,0,0,0,0.5,1,0,0,0,0,0,0.5,0,0.5,0,0,0,0,1,1,1,0,1,0,0,1,0,0,1,1,0.5,0,0,0,0.5,0,0,0,1,1,0,1,1,0.5,0.5,1,1,0,0,0.5,0,1,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0.5,1,0.5,0,0.5,0,0,0.5,0,0.5,0,0,0,1,0,0,0.5,1]
recall
0.31875 [0,1,1,1,0,0,0.5,1,0.5,1,0,1,1,0.5,0,1,1,1,0,0,1,0,0,0.5,0.5,0,0,0,0.5,1,0,1,0,1,0.5,0,0,0,0,0,1,0.5,0.5,0,0,0.5,1,1,0,0,0.5,0.5,0,0,0,0,0,0,0,0,1,0.5,0,0.5,0,1,0,0,0,0,0,0,0.5,0,0,0,1,0,1,0,0,1,0,0,1,0,1,0.5,0,0,1,0,0,0,0,0,0,0,0,0]
recall
0.3625 [0,0.5,0,1,1,1,0.5,0,0,1,1,1,1,0,0,0,1,0,0,0,0,0,1,1,1,0,0,0,1,0,1,1,1,1,0.5,0,0.5,0,0,1,0,0,0.5,0,0.5,0.5,0,0.5,0,0,0,0.5,0,0.5,1,0,0,0,0,1,1,1,0,0,1,0,0.5,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,1,0.5,0.5,0,1,0.5,0.5,0,0,0,1,0.5,0,0,0,1]
relative_absolute_error
0.7788796789136332
relative_absolute_error
0.7560274384468524
relative_absolute_error
0.7423202734126477
relative_absolute_error
0.7680444452428347
relative_absolute_error
0.7573835418257214
relative_absolute_error
0.7672070270242951
relative_absolute_error
0.72449142138963
relative_absolute_error
0.7522641096333039
relative_absolute_error
0.7679988051337824
relative_absolute_error
0.7437683221759148
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
0.09272816370330988
root_mean_squared_error
0.09015590489708873
root_mean_squared_error
0.08989916542920849
root_mean_squared_error
0.09200615054984743
root_mean_squared_error
0.09138162128700143
root_mean_squared_error
0.09124117603483087
root_mean_squared_error
0.08701515408890928
root_mean_squared_error
0.08976169980362463
root_mean_squared_error
0.09162001945349332
root_mean_squared_error
0.09118680748364184
root_relative_squared_error
0.9319531106137308
root_relative_squared_error
0.906100936904873
root_relative_squared_error
0.9035206081659812
root_relative_squared_error
0.9246966053902875
root_relative_squared_error
0.9184198501313258
root_relative_squared_error
0.9170083222372755
root_relative_squared_error
0.8745352035996103
root_relative_squared_error
0.9021390266458807
root_relative_squared_error
0.920815841855454
root_relative_squared_error
0.9164618977382172
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
68.13379500090377
usercpu_time_millis
54.545118000532966
usercpu_time_millis
60.4365390008752
usercpu_time_millis
54.790696000054595
usercpu_time_millis
41.20362799949362
usercpu_time_millis
42.33771899998828
usercpu_time_millis
41.64571599903866
usercpu_time_millis
40.844199998900876
usercpu_time_millis
43.73412799941434
usercpu_time_millis
41.79741600091802
usercpu_time_millis_testing
1.8070920013997238
usercpu_time_millis_testing
1.7191890001413412
usercpu_time_millis_testing
1.7179860005853698
usercpu_time_millis_testing
1.7638259996601846
usercpu_time_millis_testing
1.2972589993296424
usercpu_time_millis_testing
1.3602380004158476
usercpu_time_millis_testing
1.3918929998908425
usercpu_time_millis_testing
1.2844929988204967
usercpu_time_millis_testing
1.334524999037967
usercpu_time_millis_testing
1.2953550012753112
usercpu_time_millis_training
66.32670299950405
usercpu_time_millis_training
52.825929000391625
usercpu_time_millis_training
58.71855300028983
usercpu_time_millis_training
53.02687000039441
usercpu_time_millis_training
39.90636900016398
usercpu_time_millis_training
40.977480999572435
usercpu_time_millis_training
40.253822999147815
usercpu_time_millis_training
39.55970700008038
usercpu_time_millis_training
42.39960300037637
usercpu_time_millis_training
40.50206099964271