10086818
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)
8011884
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"mean"
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
16
8783
min_samples_split
19
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
65468
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
21094172
description
https://api.openml.org/data/download/21094172/description.xml
-1
21094173
predictions
https://api.openml.org/data/download/21094173/predictions.arff
area_under_roc_curve
0.8608049242424243 [0.790286,0.924381,0.894492,0.901042,0.834557,0.889066,0.858823,0.857836,0.800762,0.998658,0.826665,0.830039,0.959635,0.878176,0.896504,0.761462,0.903527,0.81832,0.863873,0.845703,0.862788,0.802182,0.924262,0.903291,0.925663,0.761206,0.704881,0.881076,0.862117,0.896839,0.895952,0.865609,0.892341,0.825915,0.891256,0.924716,0.829289,0.816761,0.764777,0.89392,0.864879,0.830374,0.901298,0.854522,0.8605,0.895103,0.86703,0.92947,0.923966,0.831538,0.939453,0.887745,0.859138,0.879143,0.918087,0.8401,0.999211,0.892618,0.920672,0.758957,0.894788,0.898872,0.927596,0.794192,0.864149,0.83142,0.787149,0.893446,0.763435,0.840159,0.794014,0.964962,0.824712,0.828145,0.750355,0.818695,0.931305,0.710543,0.93093,0.953184,0.815006,0.923611,0.719914,0.929845,0.878117,0.900391,0.902363,0.828381,0.890645,0.900193,0.899424,0.893624,0.75363,0.809994,0.789773,0.828875,0.884292,0.854482,0.698311,0.865116]
average_cost
0
kappa
0.3813131313131313
kb_relative_information_score
849.0410487987577
mean_absolute_error
0.014473941355996967
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
0.3875
prior_entropy
6.6438561897747395
recall
0.3875 [0.3125,0.625,0.5625,0.75,0.5625,0.3125,0.5,0.375,0.3125,1,0.4375,0.5,0.5625,0.0625,0.25,0.375,0.8125,0.25,0,0.25,0.625,0.0625,0.5625,0.8125,0.5625,0,0,0.1875,0.5,0.5,0.375,0.6875,0.5625,0.5,0.4375,0.25,0.5,0.1875,0.125,0.5,0.5625,0.5625,0.75,0.1875,0.25,0.6875,0.625,0.8125,0.5625,0.5625,0.3125,0.25,0.3125,0.3125,0.1875,0.0625,1,0.5,0,0.25,0.5625,0.6875,0.375,0.3125,0.5,0.5,0.1875,0.0625,0.125,0.0625,0.0625,0.5625,0.25,0.1875,0.1875,0,0.6875,0,0.875,0,0,0.625,0.3125,0.6875,0.4375,0.125,0.8125,0.375,0.4375,0.625,0.75,0.125,0.0625,0,0.3125,0.5,0.3125,0,0,0.5625]
relative_absolute_error
0.7310071391917647
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09044457559018272
root_relative_squared_error
0.9090021865320383
total_cost
0
area_under_roc_curve
0.856183574158108 [0.943396,0.993671,1,0.990566,0.481013,0.984277,0.742089,0.993711,0.474684,0.993711,0.481013,0.740506,0.993671,0.971519,0.996835,0.45283,0.738924,0.721519,0.700949,0.459119,0.468553,0.946541,0.993711,1,0.959119,0.954114,0.458861,0.968354,0.735759,0.937107,0.727848,0.985759,0.72943,0.718354,0.977848,0.471698,0.996855,0.990566,0.990566,0.745253,1,0.996855,1,0.71519,0.981013,0.996835,0.990566,1,1,0.737342,0.949367,0.996835,0.974843,0.96519,0.993711,0.993711,1,0.993711,0.965409,0.996835,0.996855,0.993711,0.981013,0.732595,0.993711,0.740506,0.724684,0.924528,0.893082,0.949686,0.726266,1,0.493671,0.996835,0.981132,0.966772,0.992089,0.988924,0.993671,0.993671,0.996835,0.993671,0.993711,0.996855,0.976266,0.919304,0.746835,0.996835,0.977848,0.487421,0.990506,0.993711,0.732595,0.732595,0.46519,0.737342,1,0.710443,0.471519,0.993711]
area_under_roc_curve
0.8743797766897536 [0.993711,0.990506,0.984177,1,1,0.946541,0.990506,0.996855,0.996835,1,0.992089,0.740506,0.993671,0.988924,0.968354,0.990566,0.75,0.724684,0.988924,0.981132,0.996855,0.462264,0.977987,1,1,0.696203,0.69462,0.455696,0.984177,0.965409,0.998418,0.996835,0.985759,0.731013,0.984177,0.987421,0.484277,0.984277,0.95283,0.996835,1,0.993711,0.996835,0.746835,0.481013,0.936709,1,0.996855,0.985759,0.993671,1,0.731013,0.981132,0.950949,0.977987,0.924528,1,0.996855,0.993711,0.705696,0.977987,0.481132,0.990506,0.724684,0.993711,0.738924,0.973101,0.474843,0.421384,0.471698,0.96519,1,0.996835,0.745253,0.449686,0.716772,0.746835,0.713608,1,0.971519,0.449367,0.974684,0.940252,0.993711,0.957278,0.941456,0.996835,0.723101,0.996835,0.490566,0.748418,0.996855,0.710443,0.990506,0.746835,0.985759,0.90566,0.72943,0.96519,0.996855]
area_under_roc_curve
0.8504877448053497 [0.710443,0.743671,0.734177,0.993711,1,0.731013,0.477987,0.993671,0.97943,0.996835,0.993671,0.976266,0.987421,0.981013,0.746835,0.996835,0.996835,0.71519,0.927673,0.462025,0.996855,0.993711,1,0.993711,0.996855,0.704114,0.987342,0.45283,0.990506,1,0.484277,1,0.696203,0.732595,0.993711,0.987421,0.996855,0.446541,1,0.96519,0.985759,0.965409,1,0.993711,0.976266,0.987421,0.746835,0.996855,0.724684,0.740506,0.988924,0.996855,0.927673,0.996835,0.943396,0.933544,1,0.993671,0.477987,0.732595,0.993711,0.987421,0.990506,0.981132,0.484177,0.734177,0.996835,0.96519,0.990566,0.713608,0.699367,0.990506,0.977987,0.712025,0.45283,0.727848,0.993671,0.724684,0.496835,0.993671,0.943396,0.996835,0.481013,0.996835,0.462264,0.990566,1,0.72943,0.995253,0.996855,0.740506,1,0.443396,0.712025,0.984177,0.987421,0.713608,0.732595,0.443396,0.745253]
area_under_roc_curve
0.8462894823262479 [0.72943,0.984177,0.971519,0.993711,0.987342,0.743671,1,0.746835,0.737342,1,0.735759,0.72943,0.993711,0.721519,0.993671,0.962025,1,0.985759,0.959119,0.993671,1,0.993711,1,1,0.484277,0.960443,0.455696,0.943396,0.990506,0.996835,0.984277,0.484177,0.996835,0.943038,0.468553,0.996855,0.996855,0.462264,0.996855,0.993671,0.985759,0.993711,0.990566,1,0.734177,0.481132,0.740506,0.990566,0.996835,0.5,0.960443,0.968553,0.5,0.46519,0.993711,0.72943,1,0.740506,0.987421,0.700949,0.968553,0.5,0.981013,0.455975,0.984177,0.996835,0.718354,0.697785,0.968553,0.974684,0.43038,0.75,0.993711,0.984177,0.984277,0.726266,0.734177,0.702532,0.990506,0.990506,0.481132,0.981013,0.721519,0.990506,0.949686,0.927673,1,0.734177,0.936709,1,0.993671,0.990566,0.990566,0.966772,0.721519,0.477987,0.732595,0.976266,0.433962,0.738924]
area_under_roc_curve
0.8529013414537057 [0.72943,0.949686,1,0.993671,1,0.949367,0.968553,0.724684,0.477987,1,0.731013,0.713608,0.481132,0.45283,0.993711,0.5,1,0.993671,0.915094,0.957278,0.987342,0.966772,0.992089,0.746835,0.976266,0.458861,0.924051,0.977987,1,0.996835,0.971698,0.465409,0.993671,0.474684,0.984277,1,0.981013,0.737342,0.743671,1,0.742089,1,0.996855,0.465409,0.968553,0.990566,0.996835,0.995253,0.938291,0.996835,0.927673,0.487421,0.737342,0.946541,0.742089,0.707278,0.996855,0.96519,0.993671,0.471698,0.734177,0.993671,0.987421,0.996855,0.985759,0.996835,0.474843,0.935127,0.708861,0.955696,0.981013,0.996835,0.993711,0.996855,0.71519,0.937107,0.985759,0.71519,0.996835,0.993711,1,0.996835,0.462025,0.738924,0.484277,0.468553,1,1,0.993671,0.996835,0.996855,0.490506,0.484277,0.993711,0.471519,0.477987,0.969937,0.984277,0.993711,0.746835]
area_under_roc_curve
0.8669410775415969 [0.471519,0.962264,0.990506,1,0.993711,0.974684,0.990566,0.920886,0.993711,1,0.987342,0.734177,0.974843,0.984277,0.981132,1,0.987342,0.724684,0.984277,0.950949,0.988924,0.658228,0.984177,0.743671,0.990506,0.974684,0.677215,0.996855,0.493711,0.721519,0.981132,0.993711,0.737342,0.990506,0.493711,0.732595,0.702532,0.97943,0.474684,0.94462,0.993671,0.746835,0.493711,0.996855,0.987421,1,0.993671,0.746835,0.990506,0.737342,0.984277,0.974843,0.723101,0.990566,0.993671,0.72943,1,0.743671,0.984177,0.996855,0.981013,0.977848,0.993711,1,1,0.72943,0.462264,0.996835,0.667722,0.988924,0.704114,0.985759,0.993711,0.965409,0.737342,0.468553,0.996835,0.439873,0.996835,0.993711,0.993711,0.740506,0.718354,0.993671,0.918239,0.971698,0.993711,0.946541,0.490506,0.996835,0.996855,0.72943,0.443396,0.946541,0.987342,0.968553,0.996835,0.984277,0.940252,0.958861]
area_under_roc_curve
0.8755022987819439 [0.992089,0.965409,0.45283,0.742089,0.996855,0.996835,0.981013,0.737342,0.993711,1,1,0.996855,0.996835,0.990566,0.996855,0.446203,0.493711,0.996855,0.938291,0.712025,0.46519,0.639241,0.726266,0.996835,0.981013,0.449686,0.946541,0.973101,0.933962,0.996835,0.745253,0.487421,1,0.990566,0.996835,0.993671,0.996835,0.984177,1,0.481132,0.742089,0.72943,1,0.977848,0.990566,0.990506,0.481013,0.990506,1,0.996855,0.474843,0.966772,0.995253,0.984277,0.960443,0.958861,1,1,0.988924,0.993711,0.996835,1,1,0.713608,0.726266,0.990566,0.477987,0.962025,0.981013,0.71519,0.933962,1,0.710443,0.993711,0.998418,0.45283,0.990566,0.993711,0.990566,0.990566,0.726266,0.996855,0.72943,0.996835,0.990506,0.952532,1,0.496855,0.971698,0.996835,1,0.990506,0.468354,0.446541,0.971698,0.734177,0.996835,0.990566,0.689873,0.993671]
area_under_roc_curve
0.8490492645888066 [1,0.996855,0.996855,0.745253,0.481132,0.740506,0.990506,0.988924,0.996855,1,0.468553,1,0.996835,0.446541,0.490566,0.727848,1,0.465409,0.950949,0.946203,0.982595,0.462025,0.724684,0.996835,0.984177,0.886792,0.990566,0.990506,0.496855,0.732595,0.987342,0.993711,1,0.993711,0.738924,0.992089,0.471519,0.969937,0.738924,0.993711,0.724684,0.996835,0.993671,0.738924,1,0.996835,1,0.993671,0.484277,0.981132,0.971698,0.984177,0.984177,0.996855,0.984177,0.716772,1,0.996835,0.734177,0.459119,0.990506,0.993671,0.987421,0.738924,0.996835,0.481132,0.949686,0.981013,0.71519,0.721519,0.836478,0.996835,0.700949,0.987421,0.443038,0.993711,0.996855,0.440252,0.996855,0.996855,0.721519,0.477987,0.950949,0.996835,0.716772,0.732595,0.990506,0.937107,0.996855,0.724684,0.484277,0.993671,0.992089,0.465409,0.949686,0.731013,0.952532,0.465409,0.436709,0.984177]
area_under_roc_curve
0.8563636951675819 [0.974843,0.740506,0.990566,0.993671,0.484177,0.996855,0.732595,0.993711,0.731013,1,0.977987,1,0.993671,0.993671,0.982595,0.462264,1,0.993711,0.481013,0.996855,1,0.968354,0.965409,0.75,0.742089,0.465409,0.427673,0.992089,0.748418,0.996855,0.985759,1,0.955975,0.987421,0.987342,0.971519,0.974684,0.69462,0.727848,0.484277,1,0.738924,0.742089,0.955696,0.731013,0.746835,0.993711,0.990506,0.974843,0.990566,0.958861,0.737342,0.990506,0.72943,0.723101,0.933962,1,0.959119,0.996835,0.477848,0.481013,0.75,0.996835,0.724684,0.484277,0.996855,0.723101,0.930818,0.917722,0.990566,0.968553,0.974843,0.992089,0.484177,0.716772,0.977848,0.996855,0.930818,0.996855,0.738924,0.984177,0.993711,0.474843,0.987421,0.993671,0.947785,0.996835,0.735759,0.474843,1,0.984177,0.990506,0.996835,0.712025,0.946541,0.993671,0.984277,0.990506,0.922468,0.471698]
area_under_roc_curve
0.8733550274659656 [0.45283,0.984177,0.471698,0.745253,0.993671,0.993711,0.723101,0.481132,0.742089,1,0.993711,0.993711,0.984177,0.974684,0.742089,0.996855,0.996855,0.949686,0.969937,1,0.743671,0.974684,1,0.993671,0.990506,0.880503,0.471698,0.993671,0.984177,0.446541,0.996835,0.996835,0.996855,0.993711,0.981013,0.987342,0.740506,0.723101,0.474684,0.996855,0.490566,0.439873,0.746835,0.969937,0.993671,0.735759,0.984277,0.737342,0.962264,0.977987,0.94462,0.974684,0.734177,0.971519,0.987342,0.984277,0.996835,0.481132,0.988924,1,0.996835,0.996835,0.493671,0.955696,0.987421,0.981132,0.984177,0.943396,0.471519,0.955975,0.902516,0.996855,0.726266,0.734177,0.97943,0.990506,1,0.449686,0.993711,0.988924,0.925633,0.968553,0.987421,0.490566,0.993671,0.966772,0.496835,0.974684,0.996855,0.946203,0.987342,0.990506,0.94462,0.917722,1,1,0.437107,0.996835,0.705696,0.996855]
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
0.38123988792865315
kappa
0.39396330637206556
kappa
0.38755376662325874
kappa
0.35588270118798593
kappa
0.3872394188250158
kappa
0.3684376726928239
kappa
0.43782076589024865
kappa
0.3808245142947401
kappa
0.3435897435897436
kappa
0.37499999999999994
kb_relative_information_score
84.04738058438285
kb_relative_information_score
87.40314521977196
kb_relative_information_score
83.99886929903673
kb_relative_information_score
82.24482186013472
kb_relative_information_score
84.46501356946388
kb_relative_information_score
83.14348193505826
kb_relative_information_score
91.7548113117568
kb_relative_information_score
84.72900302942409
kb_relative_information_score
82.35608837401307
kb_relative_information_score
84.89843361572258
mean_absolute_error
0.014505541163438208
mean_absolute_error
0.014232248901481037
mean_absolute_error
0.014524010378371047
mean_absolute_error
0.014759695917820295
mean_absolute_error
0.014234368339256728
mean_absolute_error
0.014859524332113998
mean_absolute_error
0.0137657096894021
mean_absolute_error
0.01446960970412535
mean_absolute_error
0.014719154015438852
mean_absolute_error
0.014669551118522542
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
0.3875
predictive_accuracy
0.4
predictive_accuracy
0.39375
predictive_accuracy
0.3625
predictive_accuracy
0.39375
predictive_accuracy
0.375
predictive_accuracy
0.44375
predictive_accuracy
0.3875
predictive_accuracy
0.35
predictive_accuracy
0.38125
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
0.3875 [0,1,1,1,0,0,0.5,1,0,1,0,0.5,1,0,0.5,0,0.5,0,0,0,0,0,1,1,0,0,0,0.5,0.5,0,0.5,0.5,0,0,0.5,0,1,1,0,0.5,1,1,1,0,0,1,1,1,1,0.5,0,0,0,0,1,0,1,1,0,0,1,0,0,0.5,1,0,0,0,0,0,0.5,1,0,1,0,0,0.5,0,1,0,0,1,1,1,0.5,0,0.5,1,0,0,1,1,0,0,0,0.5,1,0,0,1]
recall
0.4 [0,1,0.5,1,1,0,1,1,1,1,0.5,0.5,0.5,0,0,1,0.5,0,0,1,1,0,0,1,1,0,0,0,1,1,0.5,1,0.5,0.5,0,0,0,0,0,1,1,1,1,0.5,0,0,1,1,0.5,1,1,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0.5,0.5,0,0,0,0,1,0,0.5,0,0,0.5,0,1,0,0,0.5,0,1,0,0,1,0.5,1,0,0.5,0,0,0,0.5,0,0,0,0,1]
recall
0.39375 [0,0.5,0.5,1,1,0,0,0.5,0.5,1,1,0.5,0,0.5,0.5,1,1,0,0,0,1,0,1,1,1,0,0,0,0,1,0,1,0,0.5,1,0,1,0,0,0,0.5,0,1,0,0,1,0.5,1,0.5,0.5,0.5,1,0,1,0,0,1,1,0,0.5,1,1,1,0,0,0.5,0.5,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0.5,0,0,0,0,1,0.5,0.5,1,0.5,1,0,0,0.5,1,0,0,0,0.5]
recall
0.3625 [0.5,1,0.5,0,0,0.5,1,0.5,0,1,0.5,0,1,0,0,0,1,0.5,0,1,1,0,1,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0,0,1,0.5,1,1,1,0.5,0,0.5,1,1,0,0,0,0,0,1,0.5,1,0.5,0,0,0,0,0,0,0,1,0,0,0,0,0,0.5,1,0,1,0,0,0,1,0,0,0.5,0,1,0,0,1,0.5,0,1,1,0,0,0,0.5,0,0,0,0,0.5]
recall
0.39375 [0.5,0,1,1,1,0,0,0,0,1,0.5,0,0,0,1,0,1,0.5,0,0,1,0.5,0.5,0.5,0.5,0,0,0,1,0.5,0,0,1,0,1,0.5,0.5,0,0.5,1,0.5,1,1,0,0,1,1,0.5,0,1,0,0,0.5,0,0,0,1,0,0,0,0,1,0,1,0.5,1,0,0,0,0,0,1,1,0,0,0,0.5,0,1,0,0,1,0,0.5,0,0,1,0,1,1,1,0,0,0,0,0,0,0,0,0.5]
recall
0.375 [0,0,0,1,1,0.5,1,0,1,1,0,0.5,0,0,0,1,1,0.5,0,0,0.5,0,1,0.5,0,0,0,1,0,0,0,1,0.5,1,0,0,0,0,0,0,1,0.5,0,1,0,1,0.5,0.5,1,0.5,0,0,0,1,0,0,1,0.5,0,0,1,0.5,1,1,1,0,0,0,0,0,0,0,1,0,0.5,0,1,0,1,0,0,0.5,0.5,1,0,0,1,0,0,1,1,0,0,0,0.5,0,1,0,0,0]
recall
0.44375 [0.5,0,0,0.5,1,0,0.5,0,1,1,1,1,0.5,0,0,0,0,1,0,0,0,0,0,1,0.5,0,0,0,0,1,0.5,0,1,1,1,1,1,0.5,0,0,0.5,0,1,0,0,1,0,1,1,1,0,0.5,0.5,0,0,0,1,1,0,1,1,1,1,0,0.5,1,0,0,1,0,0,1,0,0,0,0,1,0,1,0,0,1,0.5,1,1,0,1,0,0,1,1,0,0,0,0,0.5,1,0,0,1]
recall
0.3875 [1,1,1,0.5,0,0.5,0,0.5,0,1,0,1,1,0,0,0.5,1,0,0,0,0.5,0,0,1,1,0,0,0,0,0.5,0,1,1,1,0.5,0,0,0.5,0.5,0,0,1,1,0,1,1,1,1,0,0,0,0,1,0,0,0,1,0,0,0,0.5,1,0,0.5,1,0,0,0.5,0,0,0,1,0,0,0,0,1,0,1,0,0,0,0.5,1,0,0.5,1,0,1,0,0,0,0.5,0,0,0.5,0,0,0,0.5]
recall
0.35 [0,0.5,1,1,0,1,0.5,1,0,1,0,1,0,0,0,0,1,0,0,1,1,0,0,0.5,0.5,0,0,0,0.5,1,0.5,1,0,1,0,0,0.5,0,0,0,1,0.5,0.5,0,0,0.5,1,1,0,1,0.5,0.5,0,0.5,0,0,1,0,0,0,0,0.5,1,0.5,0,1,0,0,0,1,0,0,0.5,0,0,0,1,0,1,0,0,1,0,0,1,0,1,0.5,0,1,1,0,0,0,0,1,0,0,0,0]
recall
0.38125 [0,0.5,0,0.5,1,1,0.5,0,0,1,1,1,1,0,0.5,0,1,0,0,0,0.5,0,1,1,1,0,0,0.5,0.5,0,1,1,1,1,0.5,0,0.5,0,0,1,0,0,0,0,1,0.5,0,0.5,0,0,0.5,0.5,0,0.5,0.5,0,1,0,0,1,1,1,0,0,1,0,0.5,0,0,0,0,0,0,0,0.5,0,1,0,1,0,0,0,1,0,1,0.5,0,0,1,0,0.5,0,0,0,1,1,0,0,0,1]
relative_absolute_error
0.7326030890625345
relative_absolute_error
0.7188004495697481
relative_absolute_error
0.7335358776955061
relative_absolute_error
0.7454391877687006
relative_absolute_error
0.7189074918816517
relative_absolute_error
0.7504810268744432
relative_absolute_error
0.695237863101115
relative_absolute_error
0.7307883688952185
relative_absolute_error
0.7433916169413548
relative_absolute_error
0.7408864201273998
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
0.09150719038881029
root_mean_squared_error
0.0887964196050244
root_mean_squared_error
0.09048305835157681
root_mean_squared_error
0.0911880736081574
root_mean_squared_error
0.09022449841430288
root_mean_squared_error
0.0920893451331633
root_mean_squared_error
0.08634764419794277
root_mean_squared_error
0.08956963749867518
root_mean_squared_error
0.09216842992003431
root_mean_squared_error
0.09190664392232736
root_relative_squared_error
0.9196818670887861
root_relative_squared_error
0.8924375956267393
root_relative_squared_error
0.9093889528364051
root_relative_squared_error
0.9164746227683868
root_relative_squared_error
0.9067903276916917
root_relative_squared_error
0.9255327424128594
root_relative_squared_error
0.8678264767748014
root_relative_squared_error
0.9002087278522803
root_relative_squared_error
0.9263275744270301
root_relative_squared_error
0.9236965261550218
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
72.18280799997956
usercpu_time_millis
55.30175000001236
usercpu_time_millis
59.66055600003983
usercpu_time_millis
58.12971800003197
usercpu_time_millis
56.4552339999409
usercpu_time_millis
52.2237769999947
usercpu_time_millis
41.581414999996014
usercpu_time_millis
40.57835900005102
usercpu_time_millis
41.71767400009685
usercpu_time_millis
40.34842999999455
usercpu_time_millis_testing
1.9165769999744953
usercpu_time_millis_testing
1.7410420000487647
usercpu_time_millis_testing
1.7304000000422093
usercpu_time_millis_testing
1.7345320000003994
usercpu_time_millis_testing
1.7382209999823317
usercpu_time_millis_testing
1.3112579999869922
usercpu_time_millis_testing
1.255432999982986
usercpu_time_millis_testing
1.2721450000299228
usercpu_time_millis_testing
1.733720000061112
usercpu_time_millis_testing
1.2553230000094118
usercpu_time_millis_training
70.26623100000506
usercpu_time_millis_training
53.5607079999636
usercpu_time_millis_training
57.93015599999762
usercpu_time_millis_training
56.39518600003157
usercpu_time_millis_training
54.71701299995857
usercpu_time_millis_training
50.912519000007705
usercpu_time_millis_training
40.32598200001303
usercpu_time_millis_training
39.3062140000211
usercpu_time_millis_training
39.98395400003574
usercpu_time_millis_training
39.09310699998514