6017882
1
Jan van Rijn
9954
Supervised Classification
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4052570
bootstrap
false
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.723447321274178
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
9
6902
min_samples_split
16
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
59269
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
12958889
description
https://api.openml.org/data/download/12958889/description.xml
-1
12958890
predictions
https://api.openml.org/data/download/12958890/predictions.arff
area_under_roc_curve
0.9903736584595961 [0.98185,0.998777,0.999882,0.999842,0.997238,0.989228,0.998185,0.994437,0.99566,0.999527,0.997988,0.997238,0.997041,0.977825,0.997514,0.993766,0.999882,0.97526,0.979167,0.96366,0.999132,0.998303,0.984099,1,0.996212,0.965002,0.983389,0.98694,0.99779,0.999092,0.999803,0.999921,0.993805,0.981179,0.995068,0.998461,0.977312,0.981455,0.99854,0.999487,0.991319,0.997317,0.999132,0.996646,0.995975,0.992582,0.998343,0.995107,0.978101,0.98836,0.986072,0.983941,0.993095,0.961648,0.992266,0.959517,1,0.99854,0.993529,0.979127,0.999724,0.996133,0.993411,0.995305,0.997277,0.993174,0.971907,0.999803,0.959399,0.960385,0.986111,0.997554,0.989781,0.997435,0.961924,0.991004,0.998619,0.968119,0.999527,0.998935,0.991556,0.99057,0.991556,0.992069,0.986111,0.990215,0.999369,0.98398,0.996686,0.999527,0.998856,0.999171,0.992069,0.983704,0.996054,0.99708,0.993805,0.989149,0.966659,0.994081]
average_cost
0
f_measure
0.6354893258798994 [0.516129,0.742857,0.9375,0.9375,0.787879,0.5,0.8,0.787879,0.628571,0.909091,0.8,0.774194,0.722222,0.482759,0.764706,0.733333,0.888889,0.451613,0.529412,0.25,0.857143,0.774194,0.540541,1,0.628571,0.095238,0.411765,0.564103,0.785714,0.857143,0.774194,0.909091,0.810811,0.375,0.777778,0.8,0.484848,0.378378,0.848485,0.8,0.580645,0.684211,0.8,0.727273,0.705882,0.62069,0.8,0.615385,0.692308,0.75,0.540541,0.4,0.578947,0.24,0.466667,0.1875,0.969697,0.769231,0.594595,0.428571,0.857143,0.588235,0.529412,0.666667,0.722222,0.555556,0.294118,0.888889,0.347826,0.434783,0.384615,0.742857,0.411765,0.742857,0.384615,0.727273,0.727273,0.1,0.903226,0.9375,0.666667,0.466667,0.606061,0.461538,0.631579,0.823529,0.827586,0.444444,0.5,0.848485,0.789474,0.756757,0.56,0.384615,0.62069,0.742857,0.645161,0.466667,0.1,0.689655]
kappa
0.6458333333333334
kb_relative_information_score
1126.4957356699204
mean_absolute_error
0.01313458914579102
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
0.641716797261756 [0.533333,0.684211,0.9375,0.9375,0.764706,0.583333,0.736842,0.764706,0.578947,0.882353,0.736842,0.8,0.65,0.538462,0.722222,0.785714,0.8,0.466667,0.5,0.375,0.789474,0.8,0.47619,1,0.578947,0.2,0.388889,0.478261,0.916667,0.789474,0.8,0.882353,0.714286,0.375,0.7,0.736842,0.470588,0.333333,0.823529,0.736842,0.6,0.590909,0.857143,0.705882,0.666667,0.692308,0.857143,0.8,0.9,0.75,0.47619,0.428571,0.5,0.333333,0.5,0.1875,0.941176,0.652174,0.52381,0.5,0.789474,0.555556,0.5,0.647059,0.65,0.5,0.277778,0.8,0.571429,0.714286,0.5,0.684211,0.388889,0.684211,0.5,0.705882,0.705882,0.25,0.933333,0.9375,0.714286,0.5,0.588235,0.6,0.545455,0.777778,0.923077,0.4,0.583333,0.823529,0.681818,0.666667,0.777778,0.5,0.692308,0.684211,0.666667,0.5,0.25,0.769231]
predictive_accuracy
0.649375
prior_entropy
6.6438561897747395
recall
0.649375 [0.5,0.8125,0.9375,0.9375,0.8125,0.4375,0.875,0.8125,0.6875,0.9375,0.875,0.75,0.8125,0.4375,0.8125,0.6875,1,0.4375,0.5625,0.1875,0.9375,0.75,0.625,1,0.6875,0.0625,0.4375,0.6875,0.6875,0.9375,0.75,0.9375,0.9375,0.375,0.875,0.875,0.5,0.4375,0.875,0.875,0.5625,0.8125,0.75,0.75,0.75,0.5625,0.75,0.5,0.5625,0.75,0.625,0.375,0.6875,0.1875,0.4375,0.1875,1,0.9375,0.6875,0.375,0.9375,0.625,0.5625,0.6875,0.8125,0.625,0.3125,1,0.25,0.3125,0.3125,0.8125,0.4375,0.8125,0.3125,0.75,0.75,0.0625,0.875,0.9375,0.625,0.4375,0.625,0.375,0.75,0.875,0.75,0.5,0.4375,0.875,0.9375,0.875,0.4375,0.3125,0.5625,0.8125,0.625,0.4375,0.0625,0.625]
relative_absolute_error
0.6633630881712623
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.07439762155612852
root_relative_squared_error
0.7477242302925299
total_cost
0
area_under_roc_curve
0.9911439674388983 [1,1,1,1,0.993671,1,1,1,0.993671,1,0.996835,0.987342,0.993671,0.974684,1,1,1,0.962025,0.962025,0.981132,1,1,1,1,1,0.981013,0.990506,0.996835,1,1,0.996835,1,1,0.987342,1,0.981132,1,0.993711,1,1,1,1,1,1,1,1,1,1,1,0.968354,0.93038,1,1,0.96519,1,1,1,1,0.987421,0.977848,1,1,0.996835,0.993671,1,1,0.990506,1,1,0.943396,0.96519,1,0.990506,0.996835,1,1,1,0.987342,1,1,1,0.990506,1,1,0.987342,0.949367,1,0.996835,1,0.993711,1,1,0.996835,0.984177,1,1,1,0.990506,0.876582,1]
area_under_roc_curve
0.9905613108032801 [0.993711,1,1,1,1,1,0.996835,1,1,1,0.996835,0.996835,1,0.939873,1,1,1,0.924051,0.996835,0.987421,1,0.987421,1,1,1,0.955696,0.987342,0.984177,1,1,1,1,1,0.990506,1,1,0.937107,1,0.993711,1,0.993711,1,1,1,1,0.990506,0.993711,1,0.987342,1,1,0.955696,1,0.990506,0.993711,0.937107,1,1,0.993711,0.93038,1,1,1,0.990506,1,0.996835,0.996835,1,0.836478,1,0.993671,1,0.996835,1,1,1,1,0.943038,1,1,0.987342,0.993671,0.968553,0.993711,0.993671,1,0.993671,0.993671,0.993671,1,0.996835,1,1,0.984177,0.996835,1,1,0.974684,0.990506,1]
area_under_roc_curve
0.9887357196879225 [0.984177,1,1,1,0.996835,0.974684,0.993711,1,0.984177,1,1,1,1,0.990506,0.984177,0.990506,1,0.990506,0.949686,0.917722,1,1,0.920886,1,0.974843,0.990506,1,1,1,1,1,1,1,0.952532,0.987421,1,0.993711,0.937107,1,1,0.987342,1,1,1,0.993671,1,0.996835,1,0.863924,0.996835,0.993671,1,1,0.977848,1,0.990506,1,0.996835,0.987421,0.962025,1,0.993711,1,1,0.996835,0.981013,0.987342,1,0.981132,0.917722,0.996835,1,0.981132,0.990506,1,1,1,0.971519,1,1,1,1,1,0.996835,1,1,1,0.996835,1,1,1,1,0.993711,0.971519,1,1,0.987342,0.987342,0.987421,1]
area_under_roc_curve
0.9903184957407849 [1,1,1,1,0.993671,0.981013,1,1,0.990506,1,1,1,1,1,1,1,1,0.993671,0.91195,0.990506,1,1,0.996835,1,0.987421,0.96519,0.968354,1,1,1,1,1,1,0.977848,1,0.987421,1,0.987421,1,1,0.996835,1,1,0.993711,1,1,1,1,0.996835,1,0.993671,1,0.987421,0.924051,1,0.987342,1,1,1,1,1,1,0.990506,1,0.993671,0.993671,0.939873,1,0.987421,0.920886,0.977848,0.987342,0.981132,1,1,0.971519,1,0.927215,1,1,0.968553,0.977848,1,0.981013,1,1,1,1,1,1,1,1,0.968553,0.987342,1,1,0.990506,0.993671,0.987421,0.962025]
area_under_roc_curve
0.9887016360162407 [0.987342,1,1,1,1,0.984177,0.993711,1,1,0.996835,0.996835,0.990506,1,0.880503,1,0.993671,1,1,0.993711,0.993671,0.987342,1,1,1,1,0.962025,0.987342,1,1,1,1,1,0.993671,0.952532,1,1,0.993671,0.943038,0.990506,1,1,1,0.981132,1,1,1,1,0.996835,1,0.993671,0.993711,0.968553,0.996835,0.968553,0.971519,0.949367,1,0.990506,0.996835,0.987421,1,1,0.993711,1,0.996835,1,0.918239,1,0.889241,0.952532,1,1,1,0.987421,0.911392,1,0.993671,0.939873,1,1,1,1,0.996835,0.993671,0.987421,1,1,1,1,1,1,0.996835,1,0.987421,0.977848,1,0.996835,0.993711,0.987421,0.990506]
area_under_roc_curve
0.988223469468991 [0.946203,1,1,1,1,0.990506,1,1,1,0.996835,1,1,1,1,1,1,1,1,1,0.920886,1,0.996835,0.977848,1,0.990506,0.984177,0.974684,0.993711,1,1,1,1,0.958861,0.993671,0.955975,1,0.93038,0.987342,1,1,1,0.987342,1,0.993711,1,1,1,1,0.984177,0.955696,0.993711,0.993711,1,1,0.987342,0.93038,1,1,1,1,1,0.996835,0.987421,1,1,0.993671,0.974843,1,0.977848,1,0.968354,0.990506,1,1,0.876582,1,0.996835,0.981013,1,1,1,0.984177,1,0.987342,0.937107,1,1,0.962264,0.981013,1,1,1,0.955975,1,0.993671,1,0.990506,0.981132,0.981132,0.990506]
area_under_roc_curve
0.992658327362471 [0.990506,1,1,1,1,1,1,1,0.993711,1,1,1,0.977848,1,1,0.990506,1,0.974843,0.981013,0.984177,1,1,1,1,0.993671,0.830189,0.993711,0.962025,1,1,1,1,1,1,1,1,0.993671,1,1,1,1,0.996835,1,1,1,1,0.996835,0.984177,1,1,1,0.990506,1,0.981132,0.996835,0.968354,1,1,0.993671,0.987421,1,0.996835,1,0.977848,0.996835,0.993711,0.974843,1,0.987342,0.96519,0.993711,1,0.993671,1,0.990506,1,1,1,1,1,0.990506,1,0.968354,0.996835,1,1,1,0.90566,1,1,1,1,0.990506,0.987421,0.987421,0.993671,1,0.993711,0.96519,1]
area_under_roc_curve
0.9921388623517231 [1,1,1,1,1,0.987342,1,1,1,1,0.993711,1,1,1,1,0.971519,1,0.962264,0.990506,0.949367,1,1,1,1,1,0.993711,0.981132,0.971519,1,0.996835,1,1,1,1,1,1,0.974684,1,1,1,1,1,1,0.993671,1,0.993671,1,1,0.993711,1,0.993711,0.981013,0.968354,1,0.993671,0.96519,1,1,0.990506,1,1,0.990506,0.993711,0.996835,1,0.974843,0.968553,1,0.977848,0.981013,0.993711,1,1,1,0.993671,1,1,0.968553,1,1,0.987342,1,0.968354,1,0.949367,0.987342,1,0.949686,1,1,1,1,1,0.962264,1,1,0.984177,1,0.968354,0.993671]
area_under_roc_curve
0.9944311758617939 [0.974843,1,1,1,1,1,0.996835,1,1,1,1,1,0.996835,0.996835,1,0.993711,1,1,1,1,1,1,1,1,1,1,0.987421,1,0.990506,1,1,1,1,0.993711,1,1,0.996835,0.971519,1,1,0.943396,0.993671,1,0.993671,0.987342,0.993671,1,0.996835,0.981132,1,1,0.996835,1,0.892405,0.990506,0.949686,1,1,0.996835,0.993671,1,1,0.996835,1,1,1,0.990506,1,0.977848,1,1,0.987421,0.981013,1,0.993671,0.981013,1,0.993711,1,0.993671,1,1,1,0.987421,0.993671,1,1,0.993671,0.993711,1,1,0.996835,1,0.993671,1,0.993671,0.993711,1,0.993671,1]
area_under_roc_curve
0.9944381418676855 [0.968553,0.996835,0.993711,1,1,1,1,0.918239,0.996835,1,1,1,0.996835,0.987342,0.996835,0.993711,1,1,0.990506,1,1,1,1,1,1,0.943396,1,0.996835,0.990506,1,1,1,1,0.981132,0.996835,0.996835,0.984177,1,1,1,0.993711,1,1,0.996835,1,0.981013,1,0.996835,0.993711,0.993711,0.996835,0.984177,1,0.974684,0.996835,0.962264,1,1,0.993671,0.996835,1,0.993671,0.977848,1,1,1,0.993671,1,1,0.962264,0.974843,1,0.981013,1,0.974684,0.996835,1,0.987421,0.993711,1,1,0.974843,1,0.968553,1,1,1,1,1,1,1,1,1,0.993671,1,0.996835,1,0.996835,1,1]
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
0.6462971735354492
kappa
0.6842437638143354
kappa
0.6084004421285332
kappa
0.6651926721415035
kappa
0.6210626036156943
kappa
0.6021000276319425
kappa
0.6462273463102618
kappa
0.6589698046181172
kappa
0.67156166114006
kappa
0.65254471512615
kb_relative_information_score
113.73953244154708
kb_relative_information_score
111.96759811262098
kb_relative_information_score
110.61633132519921
kb_relative_information_score
111.67433716794312
kb_relative_information_score
111.25952387717498
kb_relative_information_score
110.29177976615718
kb_relative_information_score
113.79929597096921
kb_relative_information_score
113.15752879516035
kb_relative_information_score
115.3439737103513
kb_relative_information_score
114.64583450279659
mean_absolute_error
0.01302161029054789
mean_absolute_error
0.01317761647074335
mean_absolute_error
0.013234688516242727
mean_absolute_error
0.013251841712719517
mean_absolute_error
0.013187743510778066
mean_absolute_error
0.013294985002028348
mean_absolute_error
0.013049527180540138
mean_absolute_error
0.013127384792699318
mean_absolute_error
0.012888840727797595
mean_absolute_error
0.01311165325381335
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
0.65
predictive_accuracy
0.6875
predictive_accuracy
0.6125
predictive_accuracy
0.66875
predictive_accuracy
0.625
predictive_accuracy
0.60625
predictive_accuracy
0.65
predictive_accuracy
0.6625
predictive_accuracy
0.675
predictive_accuracy
0.65625
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
0.65 [1,1,1,1,0.5,1,1,1,1,1,0.5,0.5,1,0,1,1,1,0,0.5,0,1,0,1,1,1,0,0.5,1,0.5,1,0.5,1,1,0,1,0,0,1,1,1,1,1,1,1,1,0.5,1,1,0.5,0.5,0.5,0.5,1,0,1,1,1,1,0,0.5,1,1,0,0,1,0.5,0,1,0,0,0,1,0.5,1,1,1,0.5,0.5,1,1,1,0.5,1,1,0.5,0.5,1,0.5,0,0,1,1,1,0.5,0.5,0.5,1,0,0,1]
recall
0.6875 [1,1,1,1,1,1,0.5,1,0.5,1,1,1,1,0.5,1,1,1,0,0.5,0,1,0,0,1,1,0.5,0.5,0,0.5,1,1,1,1,0.5,1,1,0,1,1,1,1,1,1,1,0.5,0.5,1,1,0,1,0.5,0,1,0.5,1,0,1,1,1,0.5,1,1,1,1,1,0.5,0.5,1,0,0,1,1,0.5,1,1,1,0.5,0,1,1,0.5,0.5,0,0,1,1,0.5,0.5,0,1,1,1,0.5,0,0.5,1,1,0,0,1]
recall
0.6125 [0,1,1,1,0.5,0,1,1,0,1,0.5,0.5,1,0.5,0.5,0.5,1,0.5,0,0,1,0,0.5,1,0,0,0.5,1,1,1,1,1,1,0.5,0,1,1,0,1,1,0,1,1,1,0.5,0,0.5,1,0.5,0.5,1,1,0,0,1,0,1,1,1,0,1,0,0.5,1,0.5,0.5,0.5,1,0,0,0.5,1,0,0.5,0,1,1,0,0.5,1,0,0.5,1,0.5,1,1,1,1,1,1,1,1,1,0.5,1,1,0.5,0.5,0,0.5]
recall
0.66875 [1,1,1,1,0.5,0,1,1,0.5,1,1,0.5,1,0.5,1,1,1,0.5,0,0,1,1,0.5,1,0,0,0.5,1,1,0.5,1,1,1,0.5,1,1,1,0,1,1,0.5,1,1,1,1,1,0.5,1,1,1,0.5,1,0,0,1,1,1,1,1,0.5,1,1,1,1,0.5,1,0,1,0,0.5,0,0.5,0,1,0,0.5,1,0,1,1,0,0,1,0,1,1,1,0.5,1,1,1,1,0,0,1,0,0.5,0.5,0,0]
recall
0.625 [0.5,1,1,1,1,0.5,0,0.5,1,1,1,0.5,1,0,1,0.5,1,1,1,0,0.5,1,1,1,0.5,0,0.5,1,1,1,1,1,1,0,1,1,0.5,0,0.5,1,1,1,0,1,1,1,1,0,0.5,0.5,0,0,0,0,0,0,1,0.5,1,0,1,1,1,1,0.5,0,0,1,0,0.5,0,0.5,1,0,0.5,1,0.5,0,1,1,1,1,0,0.5,1,1,1,1,1,1,1,0.5,0,1,0.5,1,0.5,1,0,0.5]
recall
0.60625 [0,1,1,0.5,1,0,1,0.5,1,0.5,1,1,1,1,1,1,1,0.5,1,0.5,1,0.5,0.5,1,0.5,0,0.5,1,1,1,0,1,0.5,0,0,0.5,0.5,0.5,1,1,1,0.5,1,1,1,1,1,0,0.5,0.5,1,1,1,0,0,0,1,1,0,1,0.5,0.5,0,1,1,1,1,1,0.5,0.5,0,1,1,1,0,0,0.5,0,1,1,1,0,1,0.5,0,1,0,0,0,1,1,1,0,1,0,1,0.5,0,0,0.5]
recall
0.65 [0.5,0,1,1,1,1,1,1,1,1,1,1,0.5,1,0,0.5,1,0,0.5,0.5,1,1,0.5,1,1,0,0,0.5,0,1,0.5,1,1,1,1,1,0.5,1,1,0,0,0.5,1,0.5,1,0.5,0,0.5,1,1,0,0.5,1,0,0.5,0,1,1,0.5,0,1,0.5,1,0,1,1,0,1,0.5,0,1,1,0,1,0.5,1,1,0,1,1,0.5,1,0.5,0.5,1,1,0.5,0,0,1,1,1,0.5,0,0,0.5,1,0,0,1]
recall
0.6625 [1,1,1,1,1,0.5,1,1,1,1,1,1,0.5,0,1,0.5,1,0,0.5,0,1,1,0.5,1,0.5,0,0,0.5,1,1,0.5,1,1,1,1,1,0.5,0,1,1,1,1,1,0.5,1,0.5,1,1,1,1,0,0,0.5,1,0.5,0,1,1,1,1,1,0.5,1,0.5,1,0,1,1,0,0.5,0,1,1,0,0,1,1,0,1,1,0,0,0,0.5,0.5,0.5,1,0,1,1,1,1,0,0,0,1,0.5,1,0,0.5]
recall
0.675 [0,1,1,1,1,1,1,1,0.5,1,1,1,1,0.5,1,0,1,1,1,0,1,1,1,1,1,0,0,1,0.5,1,1,1,1,1,1,1,1,0,1,0,0,0.5,0,0.5,0,0.5,1,0.5,0,1,1,0,1,0,0,0,1,1,0.5,0,1,1,0.5,1,1,1,0.5,1,0.5,1,1,0,0.5,1,0.5,0.5,1,0,1,0.5,1,1,1,0,0.5,1,1,0.5,0,1,1,0.5,0,0,1,1,0,1,0,1]
recall
0.65625 [0,0,0,1,1,0,1,0,1,1,1,1,0.5,0.5,0.5,1,1,1,0.5,1,1,1,1,1,1,0,1,0.5,0.5,1,1,0.5,1,0,1,1,0,1,0.5,1,0,1,0.5,0.5,1,0.5,1,0,1,1,1,0.5,1,0.5,0.5,0,1,1,1,0.5,1,0,0,1,1,1,0,1,0.5,0,0,1,0,1,0,0.5,1,0,0,1,1,0,1,0,1,1,0.5,0.5,0,0.5,0.5,1,1,0.5,1,1,1,0.5,0.5,1]
relative_absolute_error
0.6576570853812055
relative_absolute_error
0.6655361853910772
relative_absolute_error
0.6684186119314498
relative_absolute_error
0.6692849349858331
relative_absolute_error
0.6660476520594972
relative_absolute_error
0.6714638889913296
relative_absolute_error
0.6590670293202079
relative_absolute_error
0.66299923195451
relative_absolute_error
0.6509515519089684
relative_absolute_error
0.662204709788552
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
0.07336458000333439
root_mean_squared_error
0.07442371452740669
root_mean_squared_error
0.07538727843520751
root_mean_squared_error
0.07472808634598209
root_mean_squared_error
0.07521517426958554
root_mean_squared_error
0.07590099844555728
root_mean_squared_error
0.07411805439839879
root_mean_squared_error
0.07393242082592832
root_mean_squared_error
0.07280027413210766
root_mean_squared_error
0.07405152702027029
root_relative_squared_error
0.7373417720396083
root_relative_squared_error
0.7479864745210005
root_relative_squared_error
0.7576706561685882
root_relative_squared_error
0.7510455263966754
root_relative_squared_error
0.7559409442224511
root_relative_squared_error
0.762833736537157
root_relative_squared_error
0.744914474638301
root_relative_squared_error
0.7430487870371563
root_relative_squared_error
0.7316702846400517
root_relative_squared_error
0.7442458493306092
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
8531.266855003196
usercpu_time_millis
8549.303277002764
usercpu_time_millis
8335.22042199911
usercpu_time_millis
8340.901322997524
usercpu_time_millis
8346.681502007414
usercpu_time_millis
8311.684469008469
usercpu_time_millis
8339.118456002325
usercpu_time_millis
8367.880763995345
usercpu_time_millis
8425.219012002344
usercpu_time_millis
8484.928455014597
usercpu_time_millis_testing
36.924187996191904
usercpu_time_millis_testing
36.224794006557204
usercpu_time_millis_testing
36.05361099471338
usercpu_time_millis_testing
35.08604899980128
usercpu_time_millis_testing
36.10583700356074
usercpu_time_millis_testing
37.1246120048454
usercpu_time_millis_testing
35.25150199129712
usercpu_time_millis_testing
35.22906299622264
usercpu_time_millis_testing
38.90123100427445
usercpu_time_millis_testing
35.224336010287516
usercpu_time_millis_training
8494.342667007004
usercpu_time_millis_training
8513.078482996207
usercpu_time_millis_training
8299.166811004397
usercpu_time_millis_training
8305.815273997723
usercpu_time_millis_training
8310.575665003853
usercpu_time_millis_training
8274.559857003624
usercpu_time_millis_training
8303.866954011028
usercpu_time_millis_training
8332.651700999122
usercpu_time_millis_training
8386.31778099807
usercpu_time_millis_training
8449.70411900431