5988095
1
Jan van Rijn
9956
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)
4022828
bootstrap
false
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.6436106348401507
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
5
6902
min_samples_split
11
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
26640
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
"most_frequent"
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
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
12899477
description
https://api.openml.org/data/download/12899477/description.xml
-1
12899478
predictions
https://api.openml.org/data/download/12899478/predictions.arff
area_under_roc_curve
0.9846936256154634 [0.98367,0.999763,0.98172,0.985629,0.975975,0.992143,0.981819,0.995973,0.997394,0.998223,0.983812,0.972599,0.999368,0.997552,0.958722,0.999368,0.978285,0.99621,0.999368,0.974534,1,0.987879,0.996565,0.998579,0.913653,0.967269,0.955642,0.943245,0.999368,0.999605,0.989063,0.999368,0.991669,0.994334,0.991196,0.965058,0.997355,0.998895,0.98626,0.959472,0.994986,0.994117,0.968414,0.972402,0.959728,0.996091,0.99009,0.999763,0.982253,0.996526,0.954991,0.988708,0.996249,0.991156,0.989182,0.99771,0.999684,0.986616,0.998342,0.99617,0.998895,0.997671,0.998144,0.998934,0.996762,0.987563,0.997986,0.965828,0.99317,0.924333,0.982865,0.957399,0.999487,0.99463,0.999605,0.997868,0.996565,0.999052,0.99925,0.986931,0.997197,0.982667,0.928241,0.988392,0.988866,0.997789,0.961525,0.995933,0.995045,0.998539,0.923681,0.89865,0.99925,0.961209,0.990287,0.99463,0.998105,0.964506,0.995104,0.99696]
average_cost
0
f_measure
0.6839482424557106 [0.666667,0.882353,0.518519,0.580645,0.5625,0.625,0.666667,0.717949,0.75,0.764706,0.823529,0.827586,0.833333,0.903226,0.592593,0.909091,0.5,0.764706,0.875,0.764706,0.914286,0.6,0.764706,0.742857,0.08,0.516129,0.647059,0.16,0.882353,0.810811,0.538462,0.777778,0.642857,0.787879,0.571429,0.296296,0.789474,0.823529,0.466667,0.727273,0.848485,0.62069,0.413793,0.384615,0.689655,0.727273,0.580645,0.941176,0.529412,0.684211,0.578947,0.742857,0.634146,0.709677,0.5,0.666667,0.909091,0.625,0.8125,0.83871,0.882353,0.787879,0.83871,0.848485,0.774194,0.6875,0.83871,0.5,0.774194,0.333333,0.705882,0.538462,0.848485,0.634146,0.83871,0.666667,0.75,0.866667,0.896552,0.363636,0.684211,0.6,0.48,0.375,0.625,0.685714,0.466667,0.545455,0.8,0.756757,0.787879,0.210526,0.9375,0.823529,0.764706,0.722222,0.8125,0.882353,0.714286,0.83871]
kappa
0.6910943261158908
kb_relative_information_score
1176.80052598295
mean_absolute_error
0.010880288473947031
mean_prior_absolute_error
0.019799992711748222
number_of_instances
1599 [15,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16]
precision
0.6918641216254191 [0.75,0.833333,0.636364,0.6,0.5625,0.625,0.714286,0.608696,0.75,0.722222,0.777778,0.923077,0.75,0.933333,0.727273,0.882353,0.45,0.722222,0.875,0.722222,0.842105,0.642857,0.722222,0.684211,0.111111,0.533333,0.611111,0.222222,0.833333,0.714286,0.7,0.7,0.75,0.764706,0.526316,0.363636,0.681818,0.777778,0.5,0.705882,0.823529,0.692308,0.461538,0.5,0.769231,0.705882,0.6,0.888889,0.5,0.590909,0.5,0.684211,0.52,0.733333,0.75,0.6,0.882353,0.625,0.8125,0.866667,0.833333,0.764706,0.866667,0.823529,0.8,0.6875,0.866667,0.583333,0.8,0.5,0.666667,0.7,0.823529,0.52,0.866667,0.647059,0.75,0.928571,1,0.352941,0.590909,0.642857,0.666667,0.375,0.625,0.631579,0.5,0.529412,0.857143,0.666667,0.764706,0.666667,0.9375,0.777778,0.722222,0.65,0.8125,0.833333,0.833333,0.866667]
predictive_accuracy
0.6941838649155723
prior_entropy
6.6438309601245775
recall
0.6941838649155723 [0.6,0.9375,0.4375,0.5625,0.5625,0.625,0.625,0.875,0.75,0.8125,0.875,0.75,0.9375,0.875,0.5,0.9375,0.5625,0.8125,0.875,0.8125,1,0.5625,0.8125,0.8125,0.0625,0.5,0.6875,0.125,0.9375,0.9375,0.4375,0.875,0.5625,0.8125,0.625,0.25,0.9375,0.875,0.4375,0.75,0.875,0.5625,0.375,0.3125,0.625,0.75,0.5625,1,0.5625,0.8125,0.6875,0.8125,0.8125,0.6875,0.375,0.75,0.9375,0.625,0.8125,0.8125,0.9375,0.8125,0.8125,0.875,0.75,0.6875,0.8125,0.4375,0.75,0.25,0.75,0.4375,0.875,0.8125,0.8125,0.6875,0.75,0.8125,0.8125,0.375,0.8125,0.5625,0.375,0.375,0.625,0.75,0.4375,0.5625,0.75,0.875,0.8125,0.125,0.9375,0.875,0.8125,0.8125,0.8125,0.9375,0.625,0.8125]
relative_absolute_error
0.5495097211571836
root_mean_prior_squared_error
0.09949872432040595
root_mean_squared_error
0.06873569261801483
root_relative_squared_error
0.6908198380179433
total_cost
0
area_under_roc_curve
0.9889868690788948 [1,1,0.987421,1,0.977848,0.974684,0.987342,1,1,1,1,0.996835,1,1,0.962025,1,0.993671,1,1,1,1,0.974684,1,0.993671,0.971519,1,1,0.968354,1,1,1,1,1,1,0.955975,0.933544,1,1,1,0.996835,1,1,0.993711,0.993671,1,1,0.996835,1,0.987342,1,1,1,1,0.993671,0.993711,1,1,1,1,1,1,1,1,1,0.984177,1,1,1,1,0.981013,0.93038,1,0.993711,1,1,1,1,1,1,0.993711,1,1,0.993671,0.996835,0.993711,1,0.971519,0.993671,1,0.996835,0.72943,0.914557,1,1,0.971519,0.996835,1,1,1,1]
area_under_roc_curve
0.9858976942520501 [1,0.993711,1,0.990506,0.993671,0.971519,1,1,1,0.996835,1,1,1,1,0.990506,1,0.958861,1,1,0.950949,1,0.984177,1,1,0.977848,0.974684,0.949686,0.987342,1,0.993671,0.977848,1,1,1,0.987421,0.96519,1,1,0.987342,1,1,1,0.943396,0.911392,1,1,0.984177,1,0.990506,1,1,0.990506,0.993711,1,1,1,1,0.993711,1,1,1,0.996835,1,0.993711,1,0.955696,1,0.735849,1,0.962025,1,0.996835,1,1,1,1,0.993671,0.981013,1,0.993711,1,0.977848,0.955975,0.990506,1,1,0.974684,1,0.990506,1,1,0.981013,1,0.484277,1,0.996835,0.981132,1,0.993671,1]
area_under_roc_curve
0.9891260648037574 [0.996835,1,1,0.971519,0.993671,1,1,1,1,1,1,1,1,1,1,1,1,0.996835,1,1,1,0.993671,0.996835,1,0.974843,0.868671,1,0.949367,1,1,0.996835,1,1,1,1,1,1,1,1,1,1,1,1,0.993671,0.96519,1,0.974684,1,1,0.987421,1,0.943038,1,1,1,0.996835,1,0.968553,1,1,1,0.993711,0.987421,1,1,0.993671,0.996835,1,1,0.974684,1,0.96519,0.993671,1,1,0.996835,1,1,1,0.971519,1,0.962025,1,0.987342,0.993711,0.996835,0.898734,1,1,0.993711,1,0.808544,1,0.993711,1,1,1,1,1,1]
area_under_roc_curve
0.9854169154525915 [0.993671,1,0.984177,1,1,1,0.984177,1,1,0.993671,1,1,1,0.987342,0.825949,1,0.981013,1,1,1,1,1,1,1,0.937107,0.993671,1,0.857595,1,1,0.993671,1,1,1,0.993671,1,1,1,0.893082,1,1,0.993711,0.930818,0.990506,0.85443,0.996835,1,1,1,1,1,1,0.996835,0.993671,0.971519,0.996835,1,1,1,1,1,1,1,1,1,0.943396,1,0.987421,1,0.946203,1,0.841772,1,0.987421,0.996835,0.993671,0.990506,1,0.996835,1,1,0.996835,0.993711,0.993671,1,1,1,1,0.96519,1,1,0.892405,1,1,1,1,1,1,1,0.993711]
area_under_roc_curve
0.9757313062256188 [0.996835,1,0.974684,1,0.993711,1,1,0.990506,1,1,1,0.968553,1,1,0.993711,1,0.949367,0.996835,1,1,1,0.981132,1,1,0.981132,0.920886,0.996835,0.993711,1,1,1,1,1,1,0.993671,1,1,0.996835,0.993711,0.408805,1,1,0.89557,0.943038,0.993671,1,1,1,1,1,0.669304,0.981013,1,0.924528,0.981013,1,1,1,1,1,1,1,1,0.996835,1,0.993711,1,0.996835,1,0.981013,1,1,1,1,0.990506,1,0.993711,1,1,0.993671,0.981013,0.952532,0.377358,0.993711,1,1,0.901899,1,1,1,0.427673,1,1,0.993711,1,0.993711,0.993671,1,0.984177,1]
area_under_roc_curve
0.9909904665233658 [1,1,0.993671,1,1,1,1,1,1,1,1,1,1,1,1,1,0.990506,1,1,0.993711,1,0.993711,1,1,0.993711,1,0.702532,0.899371,1,1,0.962264,1,0.987342,1,0.996835,1,0.993671,1,1,1,1,0.996835,0.993671,1,0.946203,1,0.993671,1,1,1,0.993671,0.993711,1,1,0.996835,0.996835,1,0.958861,1,1,1,0.968553,0.996835,1,1,1,1,0.936709,0.996835,0.996835,1,1,1,1,1,1,1,1,1,0.987342,0.993671,0.987421,1,0.974843,0.981013,1,0.990506,0.993711,1,1,1,0.987342,0.996835,0.993671,1,1,1,1,1,1]
area_under_roc_curve
0.983092632951198 [1,0.996835,0.996835,0.91195,1,0.996835,0.987421,1,1,1,0.927215,0.871835,1,1,1,1,1,1,1,1,1,1,0.974843,0.996835,0.901899,1,1,1,1,1,0.974843,1,1,1,1,0.89557,0.996835,0.996835,0.996835,1,1,1,0.984177,1,0.920886,0.996835,0.993711,1,0.993711,1,1,1,1,1,1,0.987421,1,0.981013,1,1,0.996835,1,1,1,0.987421,1,1,1,0.962025,0.867925,1,1,1,0.96519,1,0.993711,1,1,1,1,1,1,0.816456,0.993711,1,1,1,0.993671,1,1,1,0.27044,0.996835,1,0.981132,1,1,1,1,1]
area_under_roc_curve
0.9912580357853675 [0.842767,1,0.936709,1,1,1,0.993711,0.996835,0.990506,1,0.977848,1,1,1,1,1,0.993711,0.987342,1,0.957278,1,0.993711,1,1,0.89557,0.993711,0.996835,0.987421,1,1,0.993711,1,0.946203,0.984177,1,0.993671,1,1,0.993671,1,1,1,1,1,1,1,1,1,1,1,0.996835,1,1,1,1,1,1,1,1,1,1,1,0.993671,1,1,1,1,1,1,1,1,0.861635,0.996835,1,1,1,1,0.996835,0.996835,0.968354,1,1,0.996835,0.930818,0.974684,0.993711,0.949686,0.993671,1,1,1,0.962264,1,1,1,0.981013,1,1,1,1]
area_under_roc_curve
0.9813495143698747 [0.943396,1,1,0.977848,0.990506,1,1,0.996835,0.993671,1,1,1,1,1,0.958861,0.996835,1,1,0.993711,1,1,1,0.993711,1,0.642405,0.993711,1,0.958861,1,1,0.996835,0.996835,0.993711,1,0.968553,0.993671,0.990506,1,1,1,0.91195,1,0.981013,0.962264,1,1,1,1,0.924051,0.990506,1,1,0.993711,0.990506,1,1,0.993671,0.996835,0.996835,1,1,0.996835,1,1,1,1,1,1,1,0.273585,0.996835,0.977848,1,0.996835,1,1,1,1,1,0.981132,1,0.987421,0.946203,1,1,1,1,1,1,1,1,0.987421,1,1,1,0.990506,1,0.5,1,0.993671]
area_under_roc_curve
0.99128127349997 [1,1,0.93038,0.993631,0.894904,0.996815,0.926752,0.987342,0.993631,0.993631,1,0.964968,0.996815,1,1,1,0.987342,0.993671,1,1,1,0.993631,0.993671,0.996815,0.977707,1,1,0.933121,1,1,1,0.996815,1,0.987342,1,0.996815,1,1,0.993631,1,1,0.980892,0.993631,0.955696,1,0.962025,0.943038,1,0.974522,1,1,1,0.974684,1,0.974684,1,1,1,0.996815,0.984076,1,1,1,1,1,0.987261,1,1,0.996815,0.993671,0.996815,0.996815,1,1,1,1,0.987261,1,1,1,1,0.990446,1,0.984076,1,1,1,1,1,0.996815,1,0.981013,1,1,0.968153,1,1,1,0.981013,1]
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
0.7095157279867388
kappa
0.621137377165634
kappa
0.7094125078963993
kappa
0.6463390566410104
kappa
0.72203577210092
kappa
0.7031305514981644
kappa
0.7220247966516623
kappa
0.7030484915495183
kappa
0.6652983896431954
kappa
0.70749850029994
kb_relative_information_score
119.17902239876224
kb_relative_information_score
114.35107359557192
kb_relative_information_score
119.39416024529821
kb_relative_information_score
114.912440732304
kb_relative_information_score
116.90314586356192
kb_relative_information_score
120.59255667727217
kb_relative_information_score
118.6512279689924
kb_relative_information_score
117.2433282934195
kb_relative_information_score
117.67174515956317
kb_relative_information_score
117.90182504820221
mean_absolute_error
0.010508022321428268
mean_absolute_error
0.011249626984127434
mean_absolute_error
0.010949568452380593
mean_absolute_error
0.011187417658730044
mean_absolute_error
0.010954486111111647
mean_absolute_error
0.010363448908729795
mean_absolute_error
0.010616369047619178
mean_absolute_error
0.011103811011904517
mean_absolute_error
0.011196247519841553
mean_absolute_error
0.010672588599380986
mean_prior_absolute_error
0.01980002942907592
mean_prior_absolute_error
0.01980002942907592
mean_prior_absolute_error
0.019800029429075917
mean_prior_absolute_error
0.019800029429075917
mean_prior_absolute_error
0.01980002942907591
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.019799955856386102
mean_prior_absolute_error
0.01979995631910742
number_of_instances
160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,1,2,2,2,2,1,1,2,2,1,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,2,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1]
number_of_instances
160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,1,2,2,2,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,1,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,1,2,1,2,2,2,2,2,2,2,1,1,2,2,1,1,2,1]
number_of_instances
160 [2,1,2,2,2,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,1,1,2,2,2,1,2,1,1,1,1,2,1,1,1,2,2,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,2,1,1,2,2,1]
number_of_instances
160 [2,1,2,2,2,1,2,2,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,1,1,1,2,2,2,2,2,1,1,1,1,2,1,1,1,2,1,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,1,1,2,2,2,1]
number_of_instances
160 [2,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,2,2,1,2,2,1,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,2,1,1,2,2,2,1,2,1,1,2,2,1,1,1,2,2,2,2]
number_of_instances
160 [1,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,1,2,1,2,2,2,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,1,2,1,2,2,2,1,2,1,1,2,2,2,1,1,2,2,2,2]
number_of_instances
160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,1,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,1,2,2,2,1,2]
number_of_instances
160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,1,1,1,2,2,1,2,1,1,1,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,2,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,2,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,2,2,2,2,1,2]
number_of_instances
160 [1,2,1,2,2,2,2,2,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,1,1,2,2,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,1,2,2,2,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2]
number_of_instances
159 [1,2,1,2,2,2,2,1,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,2,1,2,1,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,2,1,1,1,2]
predictive_accuracy
0.7125
predictive_accuracy
0.625
predictive_accuracy
0.7125
predictive_accuracy
0.65
predictive_accuracy
0.725
predictive_accuracy
0.70625
predictive_accuracy
0.725
predictive_accuracy
0.70625
predictive_accuracy
0.66875
predictive_accuracy
0.7106918238993711
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
prior_entropy
6.6438309601245775
recall
0.7125 [1,1,0,1,0.5,0.5,0.5,1,1,1,1,0.5,1,1,0,1,1,1,1,1,1,0.5,1,0.5,0,1,1,0,0.5,1,1,1,0,1,0,0,1,1,0,0.5,1,1,1,0,1,1,1,1,0.5,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,0.5,1,1,1,1,0,0,0.5,1,1,1,1,1,1,1,1,1,1,0,0.5,0,1,0,0,0,1,0.5,0,1,1,0.5,0.5,1,1,1,1]
recall
0.625 [1,1,1,0,1,0,0.5,1,1,0.5,1,1,1,1,0.5,1,0.5,0,1,0.5,1,0.5,1,1,0,0,0,0,1,1,0,1,1,1,1,0,1,1,0,0.5,1,1,0,0.5,1,1,0,1,0,1,1,0.5,1,0.5,1,1,1,1,1,1,1,0.5,1,0,1,0,0,0,1,0,1,0.5,1,1,0.5,0.5,0.5,0.5,1,0,1,0.5,0,0.5,1,1,0,0.5,1,1,1,0,1,0,1,1,0,1,0,1]
recall
0.7125 [1,1,0,0.5,0.5,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,0.5,1,0,0.5,1,0,1,0.5,0,1,0.5,0.5,1,1,1,1,1,1,0.5,1,0,0.5,0.5,1,0.5,1,0.5,0,1,0.5,1,1,1,0.5,0,0,1,0,1,1,0,1,0.5,0.5,0.5,0,1,0.5,1,0.5,0.5,1,1,0.5,1,1,1,0.5,1,0.5,1,0,0,0.5,0,1,1,1,1,0,1,1,1,1,1,1,1,1]
recall
0.65 [0,1,0.5,1,0.5,0,0.5,1,1,0.5,1,1,1,0.5,0,1,0,1,0.5,1,1,0.5,1,1,0,0,1,0,1,1,0.5,1,1,1,0.5,0,1,1,0,1,1,0,0,0.5,0.5,0.5,0.5,1,1,1,1,1,0.5,0,0,0.5,1,1,1,1,1,1,1,1,0.5,0,1,0,1,0.5,1,0,1,0,0.5,0.5,0.5,1,0.5,1,1,1,0,0.5,1,0,1,1,0,1,1,0,1,1,1,1,1,1,0.5,0]
recall
0.725 [0.5,1,0.5,1,1,1,1,0.5,0,1,1,0,1,1,0,1,0,1,1,1,1,0,1,0,0,0.5,1,1,1,1,1,1,1,1,0.5,0,1,1,1,0,1,1,0.5,0,0.5,1,1,1,1,1,0,0.5,0.5,0,0,1,1,0.5,1,1,1,1,1,1,1,1,1,1,0.5,0,1,1,1,1,0.5,1,1,1,1,0,0.5,0,0,1,1,1,0.5,1,1,0,0,1,1,1,1,1,0,1,0,1]
recall
0.70625 [1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,0.5,0,1,1,1,1,0,0.5,0,0,1,1,0,1,0,1,0.5,1,1,1,1,1,1,0.5,0.5,0.5,0.5,0.5,0,1,1,1,1,1,1,1,0.5,0.5,1,0,0.5,1,1,0,0.5,1,1,1,1,0,0.5,0.5,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,1,0.5,0,1,1,1,0,0.5,0.5,1,1,1,1,1,1]
recall
0.725 [1,0.5,0.5,0,1,1,0,1,1,1,0.5,0.5,1,1,1,1,1,1,1,1,1,1,0,0.5,0,1,1,1,1,1,0,1,0.5,1,0.5,0,1,1,1,1,1,0,0,0,0.5,0.5,1,1,0,0.5,1,1,1,1,0.5,1,1,0.5,1,1,0.5,1,1,1,1,1,1,0,0.5,0,1,1,1,0,1,0,0,0.5,0.5,1,1,1,0,0,0.5,1,1,0.5,1,1,1,0,1,1,0,1,1,1,1,1]
recall
0.70625 [0,1,0.5,0,1,0.5,1,1,0,1,0.5,1,1,1,1,1,1,0.5,1,0.5,1,1,1,1,0,0,0.5,0,1,1,0,1,0.5,0,1,0,1,0,0.5,1,1,0.5,1,1,1,1,1,1,1,1,0.5,1,1,1,0,1,1,1,0.5,0.5,1,1,0.5,1,1,1,1,1,1,0,0,0,0.5,1,1,1,1,0.5,0.5,0,1,1,1,0,0.5,0,0,0,1,0.5,1,0,1,1,1,0.5,1,1,1,1]
recall
0.66875 [0,1,1,0.5,0,1,0.5,1,1,1,1,1,1,1,0,0.5,1,1,1,1,1,0,1,1,0,1,0.5,0,1,1,0.5,0.5,0,1,0,0.5,0.5,1,0,1,0,0.5,0,0,0,1,1,1,0.5,0.5,1,1,1,0.5,0.5,1,1,0.5,0.5,1,1,0.5,1,0.5,0.5,1,1,0.5,0.5,0,1,0,1,1,1,1,1,1,1,0,1,0,0.5,0.5,1,1,1,1,1,1,0.5,0,1,1,1,0.5,1,0,1,0]
recall
0.710691823899371 [0,1,0,0.5,0,0.5,0.5,0,0.5,0.5,1,0.5,0.5,1,1,1,0,0,1,1,1,0.5,0,1,0.5,1,1,0,1,1,1,0.5,1,1,1,0.5,1,1,0.5,0.5,1,0.5,0.5,0,1,0,0,1,0.5,1,0,1,0,1,0,1,1,1,1,0.5,1,1,1,1,1,0.5,1,0.5,1,1,0.5,0.5,1,1,1,0.5,0.5,1,1,0,1,0.5,1,0.5,1,1,1,1,1,1,1,0,1,1,0.5,1,1,1,0,1]
relative_absolute_error
0.5307074092525066
relative_absolute_error
0.5681621345273152
relative_absolute_error
0.5530076857512841
relative_absolute_error
0.5650202540760653
relative_absolute_error
0.553256051984712
relative_absolute_error
0.5234076774664761
relative_absolute_error
0.5361814503336418
relative_absolute_error
0.5607997862441293
relative_absolute_error
0.5654683071543524
relative_absolute_error
0.5390208153682484
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.0994985414402977
root_mean_squared_error
0.06699080600777148
root_mean_squared_error
0.07241094728238698
root_mean_squared_error
0.0685745827396241
root_mean_squared_error
0.07066878814101073
root_mean_squared_error
0.06899633727884508
root_mean_squared_error
0.06707509314047544
root_mean_squared_error
0.0671290287827178
root_mean_squared_error
0.06818256046599945
root_mean_squared_error
0.06936148951264534
root_mean_squared_error
0.0677621762143767
root_relative_squared_error
0.67328181579388
root_relative_squared_error
0.7277561948423892
root_relative_squared_error
0.6891993444426641
root_relative_squared_error
0.7102468657268142
root_relative_squared_error
0.6934381300150165
root_relative_squared_error
0.674131436873958
root_relative_squared_error
0.6746735115890452
root_relative_squared_error
0.6852619251743306
root_relative_squared_error
0.6971106322722602
root_relative_squared_error
0.6810368798726177
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
6308.159239000133
usercpu_time_millis
6272.260943000219
usercpu_time_millis
6255.742684000097
usercpu_time_millis
6224.857186000008
usercpu_time_millis
6360.281068999939
usercpu_time_millis
6039.45799600001
usercpu_time_millis
6246.619948999978
usercpu_time_millis
6253.300066000065
usercpu_time_millis
6328.287901000067
usercpu_time_millis
6016.537476999929
usercpu_time_millis_testing
35.63068300013583
usercpu_time_millis_testing
35.832351000181006
usercpu_time_millis_testing
36.478535000014745
usercpu_time_millis_testing
35.96720999985337
usercpu_time_millis_testing
36.12344599991957
usercpu_time_millis_testing
36.479193999866766
usercpu_time_millis_testing
35.79546799983291
usercpu_time_millis_testing
38.171013000010134
usercpu_time_millis_testing
36.277438000070106
usercpu_time_millis_testing
36.55045899995457
usercpu_time_millis_training
6272.5285559999975
usercpu_time_millis_training
6236.428592000038
usercpu_time_millis_training
6219.264149000082
usercpu_time_millis_training
6188.889976000155
usercpu_time_millis_training
6324.157623000019
usercpu_time_millis_training
6002.978802000143
usercpu_time_millis_training
6210.824481000145
usercpu_time_millis_training
6215.129053000055
usercpu_time_millis_training
6292.010462999997
usercpu_time_millis_training
5979.987017999974