8958286
1935
Hilde Weerts
9954
Supervised Classification
8317
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1)
6893893
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
copy
true
7646
with_mean
false
7646
with_std
true
7646
C
1.4748151400207605
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.2780267065952804
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.0009796002202444975
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
0.0001294514222799584
7650
verbose
false
7650
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
memory
null
8317
openml-python
Sklearn_0.19.1.
study_98
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
18831840
description
https://api.openml.org/data/download/18831840/description.xml
-1
18831841
predictions
https://api.openml.org/data/download/18831841/predictions.arff
area_under_roc_curve
0.6900252525252525 [0.554293,0.651199,0.999684,1,0.748106,0.716225,0.874684,0.998737,0.685606,0.96875,0.779672,0.716856,0.619949,0.624369,0.96875,0.655303,0.65625,0.585543,0.612374,0.557134,0.560922,0.905934,0.589015,1,0.592803,0.528725,0.525253,0.684659,0.68529,0.778409,0.623422,0.999053,0.623106,0.619634,0.618056,0.714646,0.620896,0.586174,0.872159,0.874053,0.589015,0.684028,0.842803,0.715593,0.78125,0.621528,0.809975,0.62279,0.650253,0.587753,0.652462,0.590278,0.621843,0.62279,0.651515,0.525568,1,0.653725,0.651199,0.621528,0.651831,0.592172,0.618056,0.715909,0.621843,0.589015,0.584912,1,0.623106,0.589015,0.623422,0.654356,0.620265,0.71875,0.559659,0.685606,0.74779,0.589331,0.873737,0.873737,0.529672,0.623422,0.683396,0.653725,0.653725,0.621843,0.9375,0.556503,0.623737,0.589646,0.589962,0.967487,0.684975,0.619318,0.619949,0.654987,0.614583,0.71654,0.49779,0.559659]
average_cost
0
f_measure
0.39521540213535117 [0.090909,0.27027,0.969697,1,0.533333,0.451613,0.827586,0.888889,0.428571,0.967742,0.6,0.482759,0.222222,0.363636,0.967742,0.416667,0.47619,0.133333,0.133333,0.114286,0.173913,0.866667,0.176471,1,0.272727,0.08,0.055556,0.387097,0.413793,0.529412,0.32,0.914286,0.307692,0.216216,0.190476,0.388889,0.242424,0.139535,0.648649,0.774194,0.176471,0.363636,0.733333,0.424242,0.72,0.258065,0.588235,0.296296,0.25,0.157895,0.30303,0.2,0.266667,0.296296,0.277778,0.057143,1,0.344828,0.27027,0.258065,0.285714,0.25,0.190476,0.4375,0.266667,0.176471,0.12766,1,0.307692,0.176471,0.32,0.37037,0.228571,0.608696,0.148148,0.428571,0.516129,0.181818,0.75,0.75,0.090909,0.32,0.342857,0.344828,0.344828,0.266667,0.933333,0.108108,0.333333,0.1875,0.193548,0.857143,0.4,0.210526,0.222222,0.4,0.150943,0.466667,0,0.148148]
kappa
0.380050505050505
kb_relative_information_score
615.8568805474029
mean_absolute_error
0.012274999999999793
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
0.4284058444336376 [0.071429,0.238095,0.941176,1,0.571429,0.466667,0.923077,0.8,0.5,1,0.642857,0.538462,0.2,0.666667,1,0.625,1,0.103448,0.090909,0.105263,0.285714,0.928571,0.166667,1,0.5,0.111111,0.05,0.4,0.461538,0.5,0.444444,0.842105,0.4,0.190476,0.153846,0.35,0.235294,0.111111,0.571429,0.8,0.166667,0.352941,0.785714,0.411765,1,0.266667,0.555556,0.363636,0.208333,0.136364,0.294118,0.214286,0.285714,0.363636,0.25,0.052632,1,0.384615,0.238095,0.266667,0.263158,0.375,0.153846,0.4375,0.285714,0.166667,0.096774,1,0.4,0.166667,0.444444,0.454545,0.210526,1,0.181818,0.5,0.533333,0.176471,0.75,0.75,0.166667,0.444444,0.315789,0.384615,0.384615,0.285714,1,0.095238,0.5,0.1875,0.2,0.789474,0.428571,0.181818,0.2,0.555556,0.108108,0.5,0,0.181818]
predictive_accuracy
0.38625
prior_entropy
6.6438561897747395
recall
0.38625 [0.125,0.3125,1,1,0.5,0.4375,0.75,1,0.375,0.9375,0.5625,0.4375,0.25,0.25,0.9375,0.3125,0.3125,0.1875,0.25,0.125,0.125,0.8125,0.1875,1,0.1875,0.0625,0.0625,0.375,0.375,0.5625,0.25,1,0.25,0.25,0.25,0.4375,0.25,0.1875,0.75,0.75,0.1875,0.375,0.6875,0.4375,0.5625,0.25,0.625,0.25,0.3125,0.1875,0.3125,0.1875,0.25,0.25,0.3125,0.0625,1,0.3125,0.3125,0.25,0.3125,0.1875,0.25,0.4375,0.25,0.1875,0.1875,1,0.25,0.1875,0.25,0.3125,0.25,0.4375,0.125,0.375,0.5,0.1875,0.75,0.75,0.0625,0.25,0.375,0.3125,0.3125,0.25,0.875,0.125,0.25,0.1875,0.1875,0.9375,0.375,0.25,0.25,0.3125,0.25,0.4375,0,0.125]
relative_absolute_error
0.6199494949494834
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.11079259903080076
root_relative_squared_error
1.113507516768058
total_cost
0
area_under_roc_curve
0.6854947854470183 [0.471698,0.5,1,1,0.75,0.993711,1,0.996855,0.5,1,0.75,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.974843,0.496855,1,0.977987,1,0.496855,0.5,0.5,0.75,0.5,0.490566,0.5,1,0.5,0.5,0.5,0.987421,0.996855,0.987421,1,0.75,0.984277,0.990566,1,0.996835,0.75,0.5,0.996855,0.996855,0.75,0.5,0.75,0.5,0.993711,0.5,0.993711,0.484277,1,0.996855,0.996855,0.5,0.996855,0.990566,0.5,0.5,0.990566,0.5,0.5,1,0.990566,0.487421,0.5,0.993711,0.5,0.75,0.487421,0.5,0.5,0.5,1,1,0.5,0.5,0.993711,0.996855,0.5,0.5,0.75,0.5,0.5,0.987421,0.5,1,0.5,0.5,0.5,0.5,0.977987,0.746835,0.5,0.993711]
area_under_roc_curve
0.7011981530132947 [0.977987,0.5,1,1,0.75,0.993711,0.75,0.996855,0.5,1,0.5,0.75,0.5,0.5,1,0.996855,0.75,0.5,0.5,0.977987,1,0.5,0.987421,1,0.996855,0.5,0.5,0.75,1,0.993711,0.5,0.996835,0.5,0.5,0.5,0.990566,0.996855,0.984277,0.996855,0.75,0.984277,0.990566,1,0.5,0.75,0.5,0.996855,0.990566,0.5,0.5,1,0.496835,0.981132,0.5,0.996855,0.481132,1,0.981132,0.987421,0.5,0.990566,0.996855,0.5,0.75,0.993711,0.5,0.5,1,0.5,0.990566,0.5,1,0.5,0.75,0.496855,0.496835,0.5,0.5,1,1,0.5,0.5,0.993711,1,0.75,0.5,1,0.5,0.5,0.993711,0.5,1,0.5,0.5,0.5,0.5,0.984277,0.5,0.5,0.490566]
area_under_roc_curve
0.6917243850011939 [0.5,0.5,0.996835,1,0.5,1,1,1,1,1,0.75,0.5,0.981132,0.75,0.75,0.5,0.5,0.5,0.993711,0.5,0.996855,0.5,0.5,1,1,0.5,0.5,0.990566,0.5,0.75,1,1,0.5,0.5,0.984277,0.993711,0.974843,0.981132,0.990566,0.75,0.5,0.996855,1,0.984277,0.75,0.984277,0.5,0.993711,0.5,0.5,0.5,0.996855,1,0.5,0.977987,0.5,1,0.5,0.987421,0.5,0.990566,0.496855,0.5,0.487421,0.496835,0.5,0.5,1,0.993711,0.496835,0.5,0.996835,0.971698,0.75,0.993711,0.5,0.5,0.5,0.75,0.996835,0.496855,0.75,0.5,0.5,0.993711,0.987421,1,0.5,0.5,0.490566,0.5,1,0.996855,0.5,0.5,1,0.5,0.75,0.5,0.5]
area_under_roc_curve
0.6886195366610937 [0.5,0.5,1,1,0.75,0.5,1,1,0.743671,1,1,0.5,0.984277,0.5,1,0.5,0.5,0.5,0.987421,0.5,0.490566,0.996855,0.5,1,0.496855,0.5,0.5,0.990566,0.5,0.75,0.996855,0.996835,0.5,0.5,0.984277,0.987421,0.990566,0.471698,0.993711,0.75,0.5,0.987421,0.993711,0.993711,1,0.990566,0.5,0.996855,0.5,0.5,0.5,0.993711,0.993711,0.5,0.987421,0.5,1,0.5,0.977987,0.5,0.981132,1,0.5,0.996855,0.5,0.5,0.5,1,0.996855,0.5,0.5,0.75,0.990566,0.5,0.993711,0.5,0.5,0.5,1,1,0.996855,0.5,0.5,0.5,0.987421,0.993711,1,0.5,0.5,0.987421,0.5,1,0.996855,0.5,0.5,0.996855,0.5,0.5,0.493711,0.5]
area_under_roc_curve
0.6979937903033192 [0.5,0.990566,1,1,0.993711,0.5,1,0.996835,0.496855,1,0.75,1,0.993711,0.496855,1,0.5,0.5,0.5,0.943396,0.5,0.5,1,0.5,1,0.5,0.5,0.5,0.996855,0.996855,0.5,0.993711,1,0.5,0.5,0.990566,1,0.5,0.5,1,0.996835,0.5,0.5,1,0.996855,1,0.996855,1,0.5,0.5,0.5,0.496855,0.490566,0.5,0.996855,0.75,0.5,1,0.5,0.5,0.993711,0.75,0.5,0.977987,0.996855,0.5,0.5,0.468553,1,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,1,0.993671,0.5,0.5,0.993711,0.493711,0.5,0.5,0.75,0.996855,0.990566,1,0.984277,0.75,0.5,0.993711,0.746835,0.987421,0.996855,0.496835,0.993711,0.5,0.993711,0.493711,0.5]
area_under_roc_curve
0.70121805588727 [0.5,0.996855,1,1,0.993711,0.5,1,1,1,0.75,0.5,0.5,0.990566,0.996855,1,0.5,0.5,0.5,0.949686,0.5,0.5,0.75,0.5,1,0.5,0.5,0.5,0.993711,0.996855,0.75,0.993711,1,0.5,0.5,0.971698,0.75,0.5,0.5,1,1,0.5,0.5,1,0.996855,1,0.993711,1,0.5,0.5,0.5,1,0.987421,0.5,0.993711,0.496835,0.5,1,0.75,0.5,0.996855,0.5,0.5,0.977987,0.990566,0.5,0.5,0.968553,1,0.5,0.5,0.5,0.5,1,1,0.5,1,1,0.5,0.75,0.996855,0.496855,0.5,0.5,0.75,0.996855,0.996855,1,0.990566,0.5,0.5,0.981132,0.996835,0.996855,0.984277,0.5,0.996855,0.5,0.990566,0.490566,0.5]
area_under_roc_curve
0.6948292333412943 [0.5,0.981132,1,1,0.996855,0.5,0.5,1,0.993711,1,0.996855,0.993711,0.5,1,1,1,1,0.974843,0.5,0.5,0.5,1,0.5,1,0.5,0.496855,0.481132,0.5,0.993711,1,0.5,1,0.996855,0.981132,0.5,0.5,0.5,0.5,0.990506,0.996855,0.5,0.75,1,0.5,0.5,0.5,0.5,0.5,0.987421,0.993711,0.484277,0.5,0.5,0.993711,0.5,0.5,1,0.5,0.5,0.987421,0.496835,0.5,0.987421,0.5,0.5,0.990566,0.990566,1,0.5,0.5,0.996855,0.5,0.5,1,0.5,0.993711,0.993711,0.990566,1,1,0.5,0.996855,0.996835,0.496835,0.5,0.5,1,0.484277,0.496855,0.5,0.990566,1,0.496835,0.984277,0.990566,0.5,0.5,1,0.5,0.5]
area_under_roc_curve
0.682330228484993 [0.5,0.981132,1,1,0.996855,0.75,0.75,1,0.996855,1,1,0.996855,0.5,0.5,1,0.5,1,0.977987,0.5,0.5,0.5,1,0.5,1,0.5,0.990566,0.484277,0.5,0.490566,0.75,0.5,1,0.996855,0.987421,0.5,0.5,0.5,0.5,1,0.996855,0.5,0.5,0.496835,0.5,0.5,0.5,0.996835,0.5,0.990566,0.481132,0.481132,0.5,0.5,0.993711,0.5,0.5,1,0.5,0.75,0.987421,0.5,0.5,0.987421,0.75,0.5,0.474843,0.984277,1,0.5,0.5,1,0.5,0.5,0.5,0.5,0.993711,0.996855,0.481132,1,1,0.5,0.996855,0.5,0.5,0.5,0.5,1,0.481132,1,0.5,0.496855,0.996835,1,0.977987,0.990566,0.75,0.5,1,0.5,0.5]
area_under_roc_curve
0.6886394395350685 [0.468553,0.75,1,1,0.5,0.993711,0.996835,1,0.5,1,0.993711,0.990566,0.5,0.75,1,1,1,0.987421,0.5,0.496855,0.5,1,0.493711,1,0.75,0.490566,0.984277,0.5,0.75,0.996855,0.5,1,0.990566,0.987421,0.5,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,1,0.5,0.996855,0.5,0.977987,0.974843,0.5,0.5,0.5,0.5,0.5,0.493711,1,0.996855,0.5,0.5,0.5,0.5,0.5,0.75,1,0.993711,0.5,1,0.75,0.993711,0.993711,0.493711,0.5,0.75,0.5,0.75,1,0.990566,0.993711,0.5,0.5,1,0.990566,0.990566,0.5,0.5,1,0.5,0.993711,0.5,0.5,1,0.5,0.5,0.977987,0.5,0.971698,0.746835,0.5,0.496855]
area_under_roc_curve
0.6791855743969426 [1,0.5,1,1,0.75,0.993711,1,0.996855,0.5,1,0.993711,1,0.5,0.5,1,0.993711,1,0.477987,0.5,0.496855,0.5,1,0.993711,1,0.5,0.496855,0.490566,0.5,0.5,0.990566,0.5,0.996835,0.996855,0.990566,0.5,0.5,0.5,0.5,0.5,1,0.984277,0.75,0.75,0.75,0.5,0.5,0.987421,0.5,0.984277,0.990566,0.75,0.5,0.5,0.5,0.5,0.984277,1,1,0.5,0.5,0.5,0.5,0.5,0.75,0.987421,0.993711,0.5,1,0.5,0.984277,0.993711,0.496855,0.5,0.75,0.5,0.746835,0.993711,0.993711,0.993711,0.5,0.5,0.490566,0.984277,0.490566,0.5,0.5,0.75,0.5,0.996855,0.5,0.5,0.996835,0.5,0.5,0.993711,0.5,0.962264,0.5,0.5,0.990566]
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
0.37032664305391577
kappa
0.40173967804148464
kappa
0.38284724682174204
kappa
0.37667243821816465
kappa
0.39532320289740963
kappa
0.4018338514816418
kappa
0.3890725869941742
kappa
0.36395481560199944
kappa
0.37659884292967055
kappa
0.3577837242247757
kb_relative_information_score
59.78175972987758
kb_relative_information_score
64.79267174338369
kb_relative_information_score
61.78612453528003
kb_relative_information_score
60.783942132578815
kb_relative_information_score
63.79048934068249
kb_relative_information_score
64.79267174338369
kb_relative_information_score
62.78830693798123
kb_relative_information_score
58.77957732717637
kb_relative_information_score
60.78394213257882
kb_relative_information_score
57.77739492447517
mean_absolute_error
0.012500000000000008
mean_absolute_error
0.011875000000000007
mean_absolute_error
0.012250000000000007
mean_absolute_error
0.012375000000000008
mean_absolute_error
0.012000000000000007
mean_absolute_error
0.011875000000000007
mean_absolute_error
0.012125000000000007
mean_absolute_error
0.012625000000000008
mean_absolute_error
0.012375000000000008
mean_absolute_error
0.012750000000000008
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
0.375
predictive_accuracy
0.40625
predictive_accuracy
0.3875
predictive_accuracy
0.38125
predictive_accuracy
0.4
predictive_accuracy
0.40625
predictive_accuracy
0.39375
predictive_accuracy
0.36875
predictive_accuracy
0.38125
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
0.375 [0,0,1,1,0.5,1,1,1,0,1,0.5,0,0,0,1,0,0,0,0,1,0,1,1,1,0,0,0,0.5,0,0,0,1,0,0,0,1,1,1,1,0.5,1,1,1,1,0.5,0,1,1,0.5,0,0.5,0,1,0,1,0,1,1,1,0,1,1,0,0,1,0,0,1,1,0,0,1,0,0.5,0,0,0,0,1,1,0,0,1,1,0,0,0.5,0,0,1,0,1,0,0,0,0,1,0.5,0,1]
recall
0.40625 [1,0,1,1,0.5,1,0.5,1,0,1,0,0.5,0,0,1,1,0.5,0,0,1,1,0,1,1,1,0,0,0.5,1,1,0,1,0,0,0,1,1,1,1,0.5,1,1,1,0,0.5,0,1,1,0,0,1,0,1,0,1,0,1,1,1,0,1,1,0,0.5,1,0,0,1,0,1,0,1,0,0.5,0,0,0,0,1,1,0,0,1,1,0.5,0,1,0,0,1,0,1,0,0,0,0,1,0,0,0]
recall
0.3875 [0,0,1,1,0,1,1,1,1,1,0.5,0,1,0.5,0.5,0,0,0,1,0,1,0,0,1,1,0,0,1,0,0.5,1,1,0,0,1,1,1,1,1,0.5,0,1,1,1,0.5,1,0,1,0,0,0,1,1,0,1,0,1,0,1,0,1,0,0,0,0,0,0,1,1,0,0,1,1,0.5,1,0,0,0,0.5,1,0,0.5,0,0,1,1,1,0,0,0,0,1,1,0,0,1,0,0.5,0,0]
recall
0.38125 [0,0,1,1,0.5,0,1,1,0.5,1,1,0,1,0,1,0,0,0,1,0,0,1,0,1,0,0,0,1,0,0.5,1,1,0,0,1,1,1,0,1,0.5,0,1,1,1,1,1,0,1,0,0,0,1,1,0,1,0,1,0,1,0,1,1,0,1,0,0,0,1,1,0,0,0.5,1,0,1,0,0,0,1,1,1,0,0,0,1,1,1,0,0,1,0,1,1,0,0,1,0,0,0,0]
recall
0.4 [0,1,1,1,1,0,1,1,0,1,0.5,1,1,0,1,0,0,0,1,0,0,1,0,1,0,0,0,1,1,0,1,1,0,0,1,1,0,0,1,1,0,0,1,1,1,1,1,0,0,0,0,0,0,1,0.5,0,1,0,0,1,0.5,0,1,1,0,0,0,1,0,0,0,0,1,0,0,1,1,0,0,1,0,0,0,0.5,1,1,1,1,0.5,0,1,0.5,1,1,0,1,0,1,0,0]
recall
0.40625 [0,1,1,1,1,0,1,1,1,0.5,0,0,1,1,1,0,0,0,1,0,0,0.5,0,1,0,0,0,1,1,0.5,1,1,0,0,1,0.5,0,0,1,1,0,0,1,1,1,1,1,0,0,0,1,1,0,1,0,0,1,0.5,0,1,0,0,1,1,0,0,1,1,0,0,0,0,1,1,0,1,1,0,0.5,1,0,0,0,0.5,1,1,1,1,0,0,1,1,1,1,0,1,0,1,0,0]
recall
0.39375 [0,1,1,1,1,0,0,1,1,1,1,1,0,1,1,1,1,1,0,0,0,1,0,1,0,0,0,0,1,1,0,1,1,1,0,0,0,0,1,1,0,0.5,1,0,0,0,0,0,1,1,0,0,0,1,0,0,1,0,0,1,0,0,1,0,0,1,1,1,0,0,1,0,0,1,0,1,1,1,1,1,0,1,1,0,0,0,1,0,0,0,1,1,0,1,1,0,0,1,0,0]
recall
0.36875 [0,1,1,1,1,0.5,0.5,1,1,1,1,1,0,0,1,0,1,1,0,0,0,1,0,1,0,1,0,0,0,0.5,0,1,1,1,0,0,0,0,1,1,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,1,0,0.5,1,0,0,1,0.5,0,0,1,1,0,0,1,0,0,0,0,1,1,0,1,1,0,1,0,0,0,0,1,0,1,0,0,1,1,1,1,0.5,0,1,0,0]
recall
0.38125 [0,0.5,1,1,0,1,1,1,0,1,1,1,0,0.5,1,1,1,1,0,0,0,1,0,1,0.5,0,1,0,0.5,1,0,1,1,1,0,0,0,0,0,1,0,0,0,0,1,0,1,0,1,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0.5,1,1,0,1,0.5,1,1,0,0,0.5,0,0.5,1,1,1,0,0,1,1,1,0,0,1,0,1,0,0,1,0,0,1,0,1,0.5,0,0]
recall
0.3625 [1,0,1,1,0.5,1,1,1,0,1,1,1,0,0,1,1,1,0,0,0,0,1,1,1,0,0,0,0,0,1,0,1,1,1,0,0,0,0,0,1,1,0.5,0.5,0.5,0,0,1,0,1,1,0.5,0,0,0,0,1,1,1,0,0,0,0,0,0.5,1,1,0,1,0,1,1,0,0,0.5,0,0.5,1,1,1,0,0,0,1,0,0,0,0.5,0,1,0,0,1,0,0,1,0,1,0,0,1]
relative_absolute_error
0.6313131313131306
relative_absolute_error
0.5997474747474741
relative_absolute_error
0.6186868686868681
relative_absolute_error
0.6249999999999993
relative_absolute_error
0.6060606060606054
relative_absolute_error
0.5997474747474741
relative_absolute_error
0.6123737373737367
relative_absolute_error
0.637626262626262
relative_absolute_error
0.6249999999999993
relative_absolute_error
0.6439393939393934
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
0.11180339887498952
root_mean_squared_error
0.10897247358851687
root_mean_squared_error
0.1106797181058933
root_mean_squared_error
0.11124297730643498
root_mean_squared_error
0.10954451150103325
root_mean_squared_error
0.10897247358851687
root_mean_squared_error
0.11011357772772623
root_mean_squared_error
0.11236102527122119
root_mean_squared_error
0.11124297730643498
root_mean_squared_error
0.11291589790636218
root_relative_squared_error
1.1236664374387366
root_relative_squared_error
1.0952145677879512
root_relative_squared_error
1.1123730207865241
root_relative_squared_error
1.1180339887498945
root_relative_squared_error
1.1009637651263602
root_relative_squared_error
1.0952145677879512
root_relative_squared_error
1.1066830958984932
root_relative_squared_error
1.1292707935887318
root_relative_squared_error
1.1180339887498945
root_relative_squared_error
1.1348474733984242
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
562.9320860000462
usercpu_time_millis
566.3684270000431
usercpu_time_millis
547.3009209999873
usercpu_time_millis
544.1168229999676
usercpu_time_millis
538.1429800000888
usercpu_time_millis
545.2989430000343
usercpu_time_millis
578.5534479999797
usercpu_time_millis
536.7996530000028
usercpu_time_millis
555.7079780001004
usercpu_time_millis
538.2634999999709
usercpu_time_millis_testing
54.9021269999912
usercpu_time_millis_testing
54.18412899996383
usercpu_time_millis_testing
54.88668899999993
usercpu_time_millis_testing
51.33668899998156
usercpu_time_millis_testing
54.24116100004994
usercpu_time_millis_testing
53.68098600001758
usercpu_time_millis_testing
56.83312899998327
usercpu_time_millis_testing
50.733239000010144
usercpu_time_millis_testing
53.64914800009046
usercpu_time_millis_testing
51.13504099995225
usercpu_time_millis_training
508.029959000055
usercpu_time_millis_training
512.1842980000793
usercpu_time_millis_training
492.41423199998735
usercpu_time_millis_training
492.780133999986
usercpu_time_millis_training
483.9018190000388
usercpu_time_millis_training
491.61795700001676
usercpu_time_millis_training
521.7203189999964
usercpu_time_millis_training
486.0664139999926
usercpu_time_millis_training
502.05883000000995
usercpu_time_millis_training
487.12845900001867