6016419
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)
4051108
bootstrap
true
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.5229662449100313
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
19
6902
min_samples_split
15
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
59753
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
"median"
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
12955967
description
https://api.openml.org/data/download/12955967/description.xml
-1
12955968
predictions
https://api.openml.org/data/download/12955968/predictions.arff
area_under_roc_curve
0.991198311237374 [0.970368,0.998816,0.999448,0.999566,0.995778,0.988952,0.99854,0.997672,0.993174,0.998698,0.995265,0.999014,0.997001,0.976286,0.996725,0.995147,0.999684,0.974116,0.982008,0.962634,0.996686,0.996567,0.989702,1,0.994713,0.958886,0.987768,0.992661,0.993411,0.999329,0.999921,0.999487,0.995739,0.987019,0.996252,0.996173,0.987137,0.987176,0.996725,0.999408,0.992385,0.996765,0.999724,0.992188,0.993529,0.999053,0.997317,0.99053,0.994003,0.996646,0.991477,0.990412,0.994673,0.971907,0.984612,0.968158,1,0.999645,0.993726,0.978338,0.999369,0.99708,0.991004,0.996409,0.99566,0.989623,0.971236,0.999961,0.983665,0.973603,0.99345,0.995936,0.989268,0.994871,0.951547,0.993371,0.998106,0.970644,0.999448,0.996922,0.984414,0.992661,0.989307,0.991398,0.994397,0.986979,0.999605,0.991122,0.995541,0.999803,0.999527,0.998895,0.992503,0.986348,0.994831,0.999369,0.995699,0.992069,0.962318,0.993134]
average_cost
0
f_measure
0.6527319809164722 [0.538462,0.769231,0.914286,0.875,0.769231,0.514286,0.823529,0.75,0.416667,0.875,0.518519,0.857143,0.65,0.434783,0.83871,0.692308,0.780488,0.454545,0.571429,0,0.756757,0.896552,0.347826,0.969697,0.727273,0.117647,0.368421,0.702703,0.787879,0.744186,0.848485,0.941176,0.903226,0.347826,0.777778,0.581818,0.487805,0.5,0.827586,0.761905,0.551724,0.8,0.761905,0.56,0.733333,0.875,0.777778,0.714286,0.785714,0.83871,0.705882,0.625,0.666667,0.434783,0.538462,0,0.969697,0.914286,0.615385,0.416667,0.833333,0.756757,0.538462,0.742857,0.75,0.588235,0.285714,0.888889,0.434783,0.380952,0.6,0.697674,0.478261,0.777778,0.285714,0.8125,0.761905,0.210526,0.842105,0.814815,0.315789,0.615385,0.6875,0.615385,0.740741,0.848485,0.969697,0.622222,0.733333,0.969697,0.780488,0.697674,0.740741,0.190476,0.583333,0.8,0.733333,0.555556,0.2,0.666667]
kappa
0.6755050505050505
kb_relative_information_score
902.1483614910417
mean_absolute_error
0.01701045613539483
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
0.694704005833794 [0.7,0.652174,0.842105,0.875,0.652174,0.473684,0.777778,0.625,0.625,0.875,0.636364,0.789474,0.541667,0.714286,0.866667,0.9,0.64,0.833333,0.526316,0,0.666667,1,0.571429,0.941176,0.705882,1,0.318182,0.619048,0.764706,0.592593,0.823529,0.888889,0.933333,0.571429,0.7,0.410256,0.4,0.416667,0.923077,0.615385,0.615385,0.736842,0.615385,0.777778,0.785714,0.875,0.7,0.833333,0.916667,0.866667,0.666667,0.625,0.6,0.714286,0.7,0,0.941176,0.842105,0.521739,0.625,0.75,0.666667,0.7,0.684211,0.625,0.555556,0.333333,0.8,0.714286,0.8,0.642857,0.555556,0.366667,0.7,0.6,0.8125,0.615385,0.666667,0.727273,1,1,0.8,0.6875,0.8,0.909091,0.823529,0.941176,0.482759,0.785714,0.941176,0.64,0.555556,0.909091,0.4,0.875,0.736842,0.785714,0.5,0.5,0.714286]
predictive_accuracy
0.67875
prior_entropy
6.6438561897747395
recall
0.67875 [0.4375,0.9375,1,0.875,0.9375,0.5625,0.875,0.9375,0.3125,0.875,0.4375,0.9375,0.8125,0.3125,0.8125,0.5625,1,0.3125,0.625,0,0.875,0.8125,0.25,1,0.75,0.0625,0.4375,0.8125,0.8125,1,0.875,1,0.875,0.25,0.875,1,0.625,0.625,0.75,1,0.5,0.875,1,0.4375,0.6875,0.875,0.875,0.625,0.6875,0.8125,0.75,0.625,0.75,0.3125,0.4375,0,1,1,0.75,0.3125,0.9375,0.875,0.4375,0.8125,0.9375,0.625,0.25,1,0.3125,0.25,0.5625,0.9375,0.6875,0.875,0.1875,0.8125,1,0.125,1,0.6875,0.1875,0.5,0.6875,0.5,0.625,0.875,1,0.875,0.6875,1,1,0.9375,0.625,0.125,0.4375,0.875,0.6875,0.625,0.125,0.625]
relative_absolute_error
0.8591139462320606
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.0879461201224136
root_relative_squared_error
0.883891764283547
total_cost
0
area_under_roc_curve
0.990512051190192 [1,1,1,1,0.996835,1,1,1,0.993671,1,0.974684,0.996835,0.996835,0.984177,1,1,1,0.933544,0.977848,0.974843,1,1,1,1,1,0.974684,0.984177,1,0.977848,0.993711,1,1,0.996835,0.990506,1,0.993711,1,0.993711,1,0.996835,1,1,1,0.996835,1,1,1,1,1,0.984177,0.962025,1,0.987421,0.996835,0.993711,1,1,1,0.987421,0.968354,1,1,0.987342,1,1,0.996835,0.990506,1,1,0.943396,0.990506,0.993711,1,0.996835,1,1,1,0.968354,0.996835,0.996835,0.993671,0.993671,0.993711,1,0.993671,0.911392,1,0.996835,0.990506,1,1,1,0.993671,0.990506,1,1,1,0.993671,0.848101,1]
area_under_roc_curve
0.9918609684738477 [0.987421,1,1,1,1,0.993711,0.996835,1,1,1,0.996835,1,0.990506,0.939873,1,1,1,0.96519,1,0.987421,1,0.987421,1,1,1,0.949367,0.987342,0.962025,0.993671,1,1,1,1,0.987342,0.996835,0.987421,0.974843,1,0.981132,1,1,1,1,0.996835,1,1,1,1,0.990506,1,1,0.939873,1,0.990506,1,0.974843,1,1,1,0.939873,1,1,0.993671,0.993671,1,0.984177,1,1,0.943396,1,1,1,0.996835,1,1,1,1,0.971519,1,0.987342,0.996835,0.990506,0.962264,0.981132,1,1,0.996835,1,0.996835,1,1,1,1,0.977848,0.993671,1,0.993711,0.968354,1,1]
area_under_roc_curve
0.9907929304991644 [0.984177,0.996835,1,1,0.971519,0.987342,1,1,0.984177,1,1,1,1,0.993671,0.987342,1,1,0.990506,0.949686,0.89557,0.993711,0.993711,0.939873,1,0.981132,0.981013,1,1,0.993671,1,1,1,1,0.974684,0.993711,1,0.993711,0.968553,1,1,0.993671,1,1,1,0.990506,1,0.996835,1,0.977848,1,0.984177,1,1,0.987342,1,0.990506,1,1,0.987421,0.974684,1,0.987421,1,1,1,0.981013,0.974684,1,0.981132,0.952532,1,0.987342,0.993711,0.990506,1,1,1,0.974684,1,1,1,0.996835,0.996835,0.993671,1,1,1,1,0.996835,1,1,1,0.974843,0.990506,0.993671,1,0.993671,0.987342,0.955975,1]
area_under_roc_curve
0.9899288969827245 [0.990506,0.987342,0.996835,1,0.996835,0.977848,1,1,0.996835,1,0.990506,1,1,0.990506,1,1,1,0.981013,0.899371,0.987342,1,1,0.996835,1,0.987421,0.962025,0.974684,1,1,1,1,1,1,0.993671,1,0.981132,1,0.993711,1,1,0.993671,1,1,1,1,1,1,1,1,1,0.987342,1,0.987421,0.917722,0.993711,0.974684,1,1,1,0.990506,1,1,0.993671,1,0.984177,0.993671,0.949367,1,1,0.952532,0.987342,0.993671,0.962264,1,0.987421,0.96519,1,0.962025,1,0.996835,0.943396,0.981013,1,0.974684,0.993711,1,1,1,1,1,1,1,0.90566,0.993671,1,0.993711,0.993671,0.993671,0.968553,0.993671]
area_under_roc_curve
0.987482584985272 [1,1,1,1,1,0.993671,0.993711,1,1,0.996835,0.993671,0.993671,1,0.842767,1,0.993671,1,1,1,0.993671,0.974684,1,1,1,0.993671,0.946203,0.993671,1,1,1,1,1,0.984177,0.971519,1,1,0.987342,0.981013,1,1,1,1,1,1,0.987421,1,1,0.996835,1,1,0.993711,0.974843,0.987342,0.974843,0.920886,0.968354,1,0.996835,0.993671,0.968553,1,1,0.987421,1,1,1,0.830189,1,0.955696,0.943038,1,1,0.987421,1,0.791139,1,0.993671,0.977848,1,1,1,1,0.993671,0.993671,0.974843,1,1,1,1,1,1,1,0.993711,0.987421,0.990506,1,0.996835,1,0.943396,0.981013]
area_under_roc_curve
0.9911051568346465 [0.917722,1,1,1,1,0.96519,1,1,1,0.996835,0.996835,1,1,1,1,0.993671,1,0.990506,1,0.924051,1,0.990506,0.984177,1,0.993671,0.981013,0.981013,0.993711,1,1,1,1,0.981013,0.993671,0.974843,0.996835,0.96519,0.987342,1,1,1,0.990506,1,1,0.987421,1,1,0.996835,0.990506,0.996835,1,1,1,1,0.981013,0.962025,1,1,1,1,1,0.993671,0.987421,1,1,0.990506,0.981132,1,0.993671,1,0.981013,0.990506,1,1,0.933544,1,1,0.974684,1,0.993711,0.987421,0.996835,1,0.987342,1,1,1,0.987421,0.987342,1,1,1,1,1,1,1,1,0.981132,0.987421,0.971519]
area_under_roc_curve
0.992224942281665 [0.996835,1,1,1,1,1,1,1,0.993711,1,1,1,0.987342,0.987421,0.981132,0.990506,1,0.993711,0.987342,0.936709,0.996835,0.993671,0.996835,1,0.990506,0.861635,0.987421,0.993671,1,1,1,1,1,0.981132,1,1,0.996835,1,1,1,0.993671,0.996835,1,0.993671,0.987421,0.996835,0.996835,0.977848,0.993711,1,1,1,1,1,0.996835,0.977848,1,1,0.990506,0.993711,0.996835,1,1,0.968354,0.996835,0.981132,0.968553,1,0.996835,0.990506,1,0.993671,0.996835,1,0.987342,1,1,0.955975,1,1,0.974684,1,0.949367,0.993671,1,1,1,0.924528,1,1,1,1,0.993671,0.974843,0.987421,1,1,1,0.974684,1]
area_under_roc_curve
0.9933681136056046 [1,1,1,1,1,0.993671,1,1,0.993711,1,0.993711,1,1,1,1,0.993671,1,0.981132,0.974684,0.974684,0.996835,1,1,1,0.996835,0.949686,0.993711,0.990506,0.993711,0.996835,1,1,1,0.987421,1,1,0.971519,0.981013,1,1,1,1,1,0.987342,0.993711,1,1,0.987342,1,1,0.987421,1,0.981013,1,0.996835,0.955696,1,1,0.993671,1,1,0.996835,0.993711,0.996835,1,0.968553,0.962264,1,0.981013,0.981013,1,1,0.996835,0.930818,0.993671,1,1,0.981132,1,0.993711,0.987342,1,0.990506,0.996835,0.990506,0.990506,1,1,0.993711,1,1,1,1,0.968553,0.993711,1,0.977848,0.993711,0.990506,1]
area_under_roc_curve
0.9943560425125385 [0.974843,1,1,1,1,1,1,1,0.993671,1,0.993711,1,1,1,1,0.993711,1,1,1,1,1,1,0.987421,1,1,0.981132,0.987421,0.996835,0.990506,1,1,1,1,0.987421,1,1,0.993671,0.984177,1,1,0.949686,1,0.996835,0.987342,0.984177,1,1,0.984177,0.987421,1,0.996835,0.996835,1,0.920886,0.993671,0.930818,1,1,0.996835,0.993671,0.996835,1,1,1,1,1,1,1,0.996835,0.993711,1,0.993711,0.981013,1,0.993671,0.987342,0.993711,0.993711,1,0.993671,0.984177,0.981132,1,0.993711,0.993671,1,1,0.996835,0.993711,1,1,0.993671,1,1,0.974843,1,0.987421,1,0.981013,1]
area_under_roc_curve
0.9951494208263674 [0.830189,0.996835,1,1,1,1,1,0.949686,0.993671,1,1,1,0.996835,0.993671,1,1,1,0.981132,0.990506,0.981132,1,1,1,1,1,0.974843,1,1,0.993671,1,1,1,1,0.981132,0.993671,0.996835,0.993671,1,0.990506,1,1,1,1,0.981013,1,1,1,0.987342,1,1,1,0.990506,0.996835,0.987342,0.996835,0.987421,1,1,0.993671,0.990506,1,1,0.984177,1,1,0.993711,1,1,1,1,0.974843,1,0.984177,1,0.987342,0.996835,1,1,0.993711,1,1,0.993711,1,0.987421,1,1,0.996835,0.987342,1,1,1,1,1,1,1,1,0.993711,1,1,1]
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
0.677941350593993
kappa
0.6905711015510912
kappa
0.6652851786066706
kappa
0.633722766024629
kappa
0.6968022108172127
kappa
0.6526681401957689
kappa
0.6841814377640045
kappa
0.6525721504994275
kappa
0.6904733704449445
kappa
0.7094010344691436
kb_relative_information_score
89.58349445667656
kb_relative_information_score
90.04221964032578
kb_relative_information_score
89.62326123338144
kb_relative_information_score
89.17552060716436
kb_relative_information_score
89.27773634248666
kb_relative_information_score
89.80551446895029
kb_relative_information_score
91.39243374762056
kb_relative_information_score
90.37470512565403
kb_relative_information_score
91.3857412307429
kb_relative_information_score
91.4877346380395
mean_absolute_error
0.017040651647671833
mean_absolute_error
0.01701600081811017
mean_absolute_error
0.01703270495389214
mean_absolute_error
0.017073684169365742
mean_absolute_error
0.017031100562353914
mean_absolute_error
0.01703742745675301
mean_absolute_error
0.016907027364685422
mean_absolute_error
0.017007363443824634
mean_absolute_error
0.01697444087889922
mean_absolute_error
0.016984160058392282
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
0.68125
predictive_accuracy
0.69375
predictive_accuracy
0.66875
predictive_accuracy
0.6375
predictive_accuracy
0.7
predictive_accuracy
0.65625
predictive_accuracy
0.6875
predictive_accuracy
0.65625
predictive_accuracy
0.69375
predictive_accuracy
0.7125
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
0.68125 [1,1,1,1,1,1,1,1,0,1,0.5,1,1,0,1,1,1,0,0.5,0,1,1,0,1,1,0,0,1,0.5,1,1,1,1,0,1,1,0,1,1,1,1,1,1,0.5,1,1,1,1,1,0.5,0.5,0.5,1,0.5,1,0,1,1,1,0.5,1,1,0,1,1,0.5,0.5,1,0,0,0.5,1,1,0.5,0,1,1,0,1,1,0,1,0,0,0.5,0.5,1,1,0,1,1,1,1,0,0.5,0,1,1,0,1]
recall
0.69375 [0,1,1,1,1,1,0.5,1,0,1,0.5,1,0.5,0.5,1,1,1,0,0.5,0,1,0,1,1,1,0,0,0.5,0.5,1,1,1,1,0.5,1,1,0,1,1,1,1,1,1,0.5,0.5,1,1,1,0.5,1,1,0.5,1,1,1,0,1,1,1,0.5,1,1,0.5,1,1,0.5,0,1,0,0,1,1,1,1,0,1,1,0.5,1,0,0,0.5,1,0,1,1,1,1,1,1,1,1,0.5,0,0,1,1,0,0,1]
recall
0.66875 [0.5,1,1,1,0.5,0.5,1,1,0,1,0.5,1,1,0.5,0.5,0.5,1,1,0,0,0,0,0.5,1,0,0.5,0.5,1,1,1,1,1,1,0,1,1,1,0,1,1,0,1,1,1,0.5,1,0.5,1,0.5,1,1,1,1,0,1,0,1,1,1,0,1,1,0,1,1,0.5,0.5,1,0,0.5,0.5,1,0,1,0,1,1,0.5,1,1,1,0.5,1,0.5,1,1,1,1,1,1,1,1,0,0,0.5,1,0,0.5,0,0.5]
recall
0.6375 [1,1,1,1,1,0,1,1,0.5,0.5,0,1,1,0,0.5,1,1,0,0,0,1,1,0.5,1,0,0,0.5,1,1,1,1,1,1,0,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,0,1,1,0,0,0,1,1,1,0,1,1,1,1,0.5,0.5,0,1,0,0,0,0.5,0,1,0,0.5,1,0,1,1,0,0.5,1,0.5,1,1,1,1,0.5,1,1,1,0,0,1,1,1,0.5,0,0]
recall
0.7 [0.5,1,1,1,1,0.5,0,1,1,1,1,0.5,1,0,1,0.5,1,0.5,1,0,0.5,1,0,1,0.5,0,0.5,1,1,1,1,1,0.5,0,1,1,1,0.5,0.5,1,1,1,1,0,1,1,1,0.5,0.5,0.5,1,0,0.5,0,0,0,1,1,1,0,1,1,1,1,1,1,0,1,0.5,0.5,1,1,0,1,0,1,1,0,1,1,1,1,0.5,0,1,1,1,1,1,1,1,1,1,1,0.5,1,0.5,1,0,0.5]
recall
0.65625 [0,1,1,0.5,1,0.5,1,1,0,0.5,0,1,1,1,1,0.5,1,0,1,0,1,1,0,1,1,0,1,1,1,1,1,1,0.5,1,0,1,0.5,0.5,1,1,1,0.5,1,1,1,1,0.5,0,0.5,0.5,1,0,1,0,0,0,1,1,0.5,1,1,0.5,0,1,1,0.5,0,1,0.5,0.5,0.5,1,1,1,0.5,1,1,0,1,0,1,0,1,0.5,0,1,1,0,1,1,1,1,1,1,0,1,1,0,0,0.5]
recall
0.6875 [0.5,1,1,1,1,1,1,1,1,1,1,1,0.5,0,1,0.5,1,0,0.5,0,1,1,0.5,1,0.5,0,0,0.5,1,1,0.5,1,1,0,1,1,1,1,0.5,1,0,0.5,1,0.5,1,1,1,0.5,1,1,1,1,1,0,0.5,0,1,1,0,1,0.5,0.5,1,0,1,1,0,1,0.5,0,1,1,1,1,0,1,1,0,1,1,0,0,0.5,0.5,0.5,1,1,0,0,1,1,1,0.5,0,1,1,1,1,0,1]
recall
0.65625 [0.5,1,1,0.5,1,0,1,1,1,1,0,1,0.5,0,1,0.5,1,1,1,0,1,0.5,0,1,1,0,0,0.5,0,1,0.5,1,1,0,1,1,0.5,0.5,1,1,0.5,1,1,0,0,1,1,1,1,1,1,0.5,0,1,0.5,0,1,1,1,1,1,1,1,0.5,1,0,0,1,0,0.5,0,1,1,0,0.5,1,1,0,1,1,0,0,0,1,0.5,0.5,1,1,1,1,1,1,1,0,0,1,0.5,0,0,0.5]
recall
0.69375 [0,1,1,1,1,1,1,1,0,1,0,1,1,0.5,1,0,1,1,1,0,1,1,0,1,1,0,1,1,1,1,1,1,1,1,0.5,1,0.5,0,0.5,1,0,1,1,0.5,0.5,0.5,1,0,0,1,1,0.5,1,0.5,0,0,1,1,0.5,0,1,1,0.5,1,1,1,1,1,0.5,0,1,1,0.5,1,0.5,0.5,1,0,1,0.5,0,1,1,1,0.5,1,1,1,0,1,1,0.5,0,0,0,1,0,1,0.5,1]
recall
0.7125 [0,0.5,1,1,1,1,1,0,0.5,1,1,1,1,0.5,0.5,0,1,0,0.5,0,1,1,0,1,1,0,1,1,1,1,1,1,1,0,1,1,0.5,1,0.5,1,1,1,1,0,0.5,0.5,1,1,1,1,0.5,1,0.5,0,1,0,1,1,1,0,1,1,0,1,1,1,0,1,0.5,0,0,1,0.5,1,0,0.5,1,0,1,0.5,0,0,1,1,0.5,1,1,1,1,1,1,1,1,0,1,1,1,1,0.5,1]
relative_absolute_error
0.8606389721046367
relative_absolute_error
0.8593939807126334
relative_absolute_error
0.8602376239339451
relative_absolute_error
0.8623072812810966
relative_absolute_error
0.860156594058277
relative_absolute_error
0.8604761341794436
relative_absolute_error
0.8538902709437067
relative_absolute_error
0.8589577496881113
relative_absolute_error
0.8572949938837976
relative_absolute_error
0.8577858615349624
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
0.08806460505366373
root_mean_squared_error
0.08796030587487177
root_mean_squared_error
0.0881194823672603
root_mean_squared_error
0.08832620563345946
root_mean_squared_error
0.08810315689007871
root_mean_squared_error
0.08810289337604478
root_mean_squared_error
0.08744432067476883
root_mean_squared_error
0.087907029619707
root_mean_squared_error
0.08772036540727984
root_mean_squared_error
0.08770943473467373
root_relative_squared_error
0.8850825826479949
root_relative_squared_error
0.8840343364601311
root_relative_squared_error
0.8856341204016389
root_relative_squared_error
0.8877117673998796
root_relative_squared_error
0.8854700431824425
root_relative_squared_error
0.885467394766753
root_relative_squared_error
0.8788484900779555
root_relative_squared_error
0.8834988899491711
root_relative_squared_error
0.8816228440267224
root_relative_squared_error
0.8815129866335688
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
3374.2096969999693
usercpu_time_millis
3199.0996440000004
usercpu_time_millis
3190.280360000088
usercpu_time_millis
3198.8200849999657
usercpu_time_millis
3187.400706999995
usercpu_time_millis
3181.964746999995
usercpu_time_millis
3182.5207120000414
usercpu_time_millis
3198.1968409999695
usercpu_time_millis
3195.4347340000027
usercpu_time_millis
3199.5047640000394
usercpu_time_millis_testing
40.34441900000729
usercpu_time_millis_testing
34.221584000022176
usercpu_time_millis_testing
31.58050200005391
usercpu_time_millis_testing
31.263797999997678
usercpu_time_millis_testing
30.928149999965626
usercpu_time_millis_testing
30.74814699999706
usercpu_time_millis_testing
30.854827000041496
usercpu_time_millis_testing
30.92679600001702
usercpu_time_millis_testing
31.066447999990032
usercpu_time_millis_testing
30.886801999997715
usercpu_time_millis_training
3333.865277999962
usercpu_time_millis_training
3164.878059999978
usercpu_time_millis_training
3158.699858000034
usercpu_time_millis_training
3167.556286999968
usercpu_time_millis_training
3156.472557000029
usercpu_time_millis_training
3151.216599999998
usercpu_time_millis_training
3151.665885
usercpu_time_millis_training
3167.2700449999525
usercpu_time_millis_training
3164.3682860000126
usercpu_time_millis_training
3168.6179620000416