5995646
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)
4030379
bootstrap
false
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.7289554400367535
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
13
6902
min_samples_split
20
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
26519
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
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
12914438
description
https://api.openml.org/data/download/12914438/description.xml
-1
12914439
predictions
https://api.openml.org/data/download/12914439/predictions.arff
area_under_roc_curve
0.9876337594696968 [0.978535,0.997751,0.999882,0.999487,0.996607,0.98765,0.996725,0.994003,0.994871,0.998501,0.997238,0.997356,0.994476,0.975616,0.99708,0.990767,0.999684,0.970249,0.970368,0.959517,0.996725,0.996883,0.984848,1,0.988755,0.956163,0.967211,0.980824,0.99566,0.998303,0.999053,0.999882,0.991398,0.979956,0.993805,0.997711,0.97459,0.97605,0.996962,0.999448,0.982086,0.995344,0.998619,0.994318,0.99633,0.96512,0.997317,0.990728,0.966619,0.987334,0.985243,0.981652,0.991556,0.951152,0.988952,0.954545,1,0.997948,0.991951,0.973485,0.998658,0.994042,0.993016,0.994594,0.995896,0.990491,0.968632,0.999527,0.955295,0.96583,0.979206,0.997593,0.988715,0.995462,0.96003,0.987176,0.998146,0.965475,0.998264,0.99783,0.988321,0.988557,0.986466,0.991162,0.988005,0.978851,0.99854,0.985795,0.994673,0.998619,0.998777,0.99858,0.989031,0.98256,0.991201,0.995423,0.990885,0.988202,0.954624,0.990333]
average_cost
0
f_measure
0.5922285487015989 [0.551724,0.666667,1,0.866667,0.764706,0.4,0.866667,0.857143,0.580645,0.774194,0.666667,0.684211,0.590909,0.333333,0.702703,0.714286,0.8,0.342857,0.5,0.086957,0.742857,0.75,0.514286,1,0.571429,0.105263,0.352941,0.631579,0.727273,0.742857,0.689655,0.914286,0.705882,0.4,0.702703,0.736842,0.342857,0.411765,0.608696,0.761905,0.642857,0.666667,0.8,0.606061,0.6875,0.516129,0.717949,0.56,0.64,0.727273,0.580645,0.424242,0.578947,0.333333,0.413793,0.071429,0.941176,0.717949,0.457143,0.444444,0.702703,0.564103,0.6875,0.645161,0.702703,0.4375,0.363636,0.842105,0.173913,0.166667,0.24,0.702703,0.540541,0.722222,0.5,0.875,0.789474,0.095238,0.8125,0.875,0.642857,0.516129,0.611111,0.347826,0.5,0.717949,0.896552,0.484848,0.583333,0.787879,0.761905,0.769231,0.5,0.210526,0.4,0.666667,0.625,0.5,0,0.571429]
kappa
0.6092171717171717
kb_relative_information_score
1062.5117605924636
mean_absolute_error
0.014330190844722394
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
0.6054358322201572 [0.615385,0.565217,1,0.928571,0.722222,0.428571,0.928571,0.789474,0.6,0.8,0.714286,0.590909,0.464286,0.5,0.619048,0.833333,0.666667,0.315789,0.5,0.142857,0.684211,0.75,0.473684,1,0.526316,0.333333,0.333333,0.545455,0.705882,0.684211,0.769231,0.842105,0.666667,0.428571,0.619048,0.636364,0.315789,0.388889,1,0.615385,0.75,0.6,0.736842,0.588235,0.6875,0.533333,0.608696,0.777778,0.888889,0.705882,0.6,0.411765,0.5,0.5,0.461538,0.083333,0.888889,0.608696,0.421053,0.545455,0.619048,0.478261,0.6875,0.666667,0.619048,0.4375,0.352941,0.727273,0.285714,0.25,0.333333,0.619048,0.47619,0.65,0.75,0.875,0.681818,0.2,0.8125,0.875,0.75,0.533333,0.55,0.571429,0.45,0.608696,1,0.470588,0.875,0.764706,0.615385,0.652174,0.75,0.666667,0.555556,0.6,0.625,0.5,0,0.666667]
predictive_accuracy
0.613125
prior_entropy
6.6438561897747395
recall
0.613125 [0.5,0.8125,1,0.8125,0.8125,0.375,0.8125,0.9375,0.5625,0.75,0.625,0.8125,0.8125,0.25,0.8125,0.625,1,0.375,0.5,0.0625,0.8125,0.75,0.5625,1,0.625,0.0625,0.375,0.75,0.75,0.8125,0.625,1,0.75,0.375,0.8125,0.875,0.375,0.4375,0.4375,1,0.5625,0.75,0.875,0.625,0.6875,0.5,0.875,0.4375,0.5,0.75,0.5625,0.4375,0.6875,0.25,0.375,0.0625,1,0.875,0.5,0.375,0.8125,0.6875,0.6875,0.625,0.8125,0.4375,0.375,1,0.125,0.125,0.1875,0.8125,0.625,0.8125,0.375,0.875,0.9375,0.0625,0.8125,0.875,0.5625,0.5,0.6875,0.25,0.5625,0.875,0.8125,0.5,0.4375,0.8125,1,0.9375,0.375,0.125,0.3125,0.75,0.625,0.5,0,0.5]
relative_absolute_error
0.7237470123597156
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.07890211518917381
root_relative_squared_error
0.7929960946905787
total_cost
0
area_under_roc_curve
0.988732485470902 [1,1,1,1,0.993671,1,1,1,0.993671,1,0.993671,0.987342,0.990506,0.958861,1,1,1,0.943038,0.949367,0.974843,1,0.993711,1,1,0.993711,0.981013,0.987342,0.996835,0.987342,1,0.996835,1,0.990506,0.977848,1,0.987421,1,0.993711,1,1,1,1,1,1,1,0.987342,1,1,0.996835,0.971519,0.93038,1,0.993711,0.984177,1,0.993711,1,1,0.993711,0.977848,1,1,1,0.987342,1,1,0.993671,1,0.993711,0.937107,0.952532,1,0.987342,0.987342,1,1,1,0.984177,1,1,1,0.987342,1,1,0.990506,0.924051,1,0.993671,0.990506,0.987421,1,1,1,0.987342,0.996835,0.990506,1,0.996835,0.851266,1]
area_under_roc_curve
0.9882294403311838 [0.981132,1,1,1,0.996835,1,0.993671,1,1,1,1,1,0.993671,0.949367,1,1,1,0.933544,0.996835,0.987421,1,0.962264,0.993711,1,1,0.936709,0.981013,0.936709,1,1,1,1,1,0.987342,0.996835,1,0.91195,1,0.993711,1,0.993711,1,1,0.993671,1,0.981013,0.993711,0.993711,0.981013,1,1,0.949367,1,0.987342,1,0.930818,1,1,1,0.920886,1,1,1,0.990506,1,1,0.993671,1,0.867925,1,0.990506,1,0.984177,1,1,1,1,0.952532,1,0.996835,0.984177,0.993671,0.974843,0.981132,1,1,0.987342,0.993671,0.977848,1,0.996835,1,1,0.968354,0.993671,0.996835,0.993711,0.971519,0.990506,1]
area_under_roc_curve
0.9864866949287479 [0.981013,0.993671,1,1,0.987342,0.977848,0.993711,1,0.977848,1,0.993671,1,1,0.993671,0.981013,0.987342,1,0.987342,0.899371,0.917722,1,0.981132,0.93038,1,0.91195,0.996835,1,1,1,1,1,1,1,0.958861,0.987421,1,1,0.924528,1,1,0.96519,1,1,1,0.996835,0.993711,0.996835,1,0.797468,1,0.984177,1,1,0.974684,1,0.996835,1,0.996835,0.993711,0.946203,1,0.987421,0.993671,1,0.996835,0.974684,0.987342,1,0.987421,0.952532,0.996835,0.996835,0.981132,0.990506,1,1,1,0.971519,0.996835,1,1,1,1,0.996835,1,1,1,0.996835,1,1,1,1,0.993711,0.974684,0.996835,1,0.987342,0.984177,0.981132,0.996835]
area_under_roc_curve
0.9872405162805507 [1,1,1,1,0.993671,0.974684,1,1,0.993671,0.996835,1,0.996835,1,1,1,1,1,0.977848,0.823899,0.987342,1,1,0.996835,1,0.962264,0.96519,0.901899,1,1,0.996835,1,1,1,0.990506,1,0.981132,1,0.981132,1,1,0.984177,1,1,0.993711,1,1,1,1,0.993671,1,0.990506,1,0.962264,0.924051,1,0.993671,1,1,1,0.990506,1,1,1,1,0.990506,0.987342,0.949367,1,0.993711,0.914557,0.958861,0.993671,0.993711,1,0.993711,0.946203,0.996835,0.943038,1,0.993671,0.955975,0.974684,1,0.984177,1,1,1,1,1,1,1,1,0.949686,0.987342,1,0.993711,0.987342,0.996835,0.974843,0.946203]
area_under_roc_curve
0.9853888026431017 [0.971519,1,1,1,0.993711,0.984177,0.962264,1,1,1,1,0.984177,1,0.805031,1,0.984177,1,1,0.993711,0.990506,0.981013,0.993671,1,1,1,0.939873,0.977848,1,1,0.993671,1,1,0.981013,0.952532,1,1,0.984177,0.939873,0.990506,1,1,0.996835,0.987421,1,1,1,1,0.993671,1,0.993671,1,0.930818,0.990506,0.974843,0.96519,0.924051,1,0.981013,0.996835,0.987421,1,1,1,0.987421,0.996835,1,0.849057,1,0.898734,0.990506,1,1,1,0.974843,0.901899,1,0.996835,0.952532,1,1,1,1,0.987342,0.996835,0.974843,1,1,1,1,1,1,0.993671,0.968553,0.993711,0.958861,1,0.990506,1,0.987421,0.990506]
area_under_roc_curve
0.9864058395032244 [0.933544,1,1,1,1,0.987342,1,1,1,0.996835,1,1,1,0.987421,1,0.996835,1,1,1,0.924051,1,0.996835,0.977848,1,0.990506,0.984177,0.96519,0.993711,1,1,1,1,0.955696,0.993671,0.949686,1,0.924051,0.981013,1,1,1,0.984177,1,0.993711,1,1,1,0.996835,0.962025,0.971519,1,0.981132,1,1,0.974684,0.920886,1,1,1,1,1,0.987342,0.974843,1,1,1,0.968553,1,0.971519,1,0.962025,0.990506,1,1,0.85443,1,0.996835,0.974684,1,0.993711,1,0.987342,1,0.987342,0.993711,1,1,0.937107,0.984177,1,1,0.993671,0.968553,1,1,1,0.993671,0.949686,0.968553,0.981013]
area_under_roc_curve
0.9899724345195443 [0.987342,1,1,1,1,1,1,1,0.993711,1,1,1,0.971519,0.987421,0.993711,0.971519,0.993711,0.955975,0.984177,0.987342,0.987342,1,1,1,0.984177,0.849057,0.993711,0.96519,1,1,1,1,1,0.993711,1,0.996835,0.990506,0.996835,1,1,0.987342,0.990506,1,1,1,0.996835,0.987342,0.981013,1,1,0.987421,0.993671,0.996835,0.981132,0.993671,0.96519,1,1,0.993671,0.974843,0.993671,0.996835,1,0.990506,0.996835,0.987421,0.943396,1,0.968354,0.955696,0.993711,1,1,1,0.993671,1,1,0.981132,1,1,0.984177,1,0.955696,0.993671,1,1,1,0.943396,1,1,1,1,0.984177,0.974843,0.981132,0.990506,1,0.987421,0.936709,1]
area_under_roc_curve
0.9883861754637364 [1,1,1,1,1,0.990506,0.996835,1,0.993711,1,0.993711,1,0.993671,1,1,0.962025,1,0.943396,0.984177,0.933544,0.990506,1,1,1,0.996835,0.993711,0.899371,0.977848,1,0.996835,1,1,1,1,1,1,0.981013,0.968354,1,1,1,0.996835,1,0.990506,1,0.990506,1,1,0.987421,1,0.974843,0.977848,0.977848,1,1,0.96519,1,1,0.987342,1,0.996835,0.990506,0.993711,0.996835,1,0.968553,0.968553,1,0.958861,0.984177,0.987421,1,1,0.987421,0.984177,1,1,0.968553,1,0.993711,0.968354,1,0.955696,1,0.946203,0.917722,1,0.987421,1,1,1,1,1,0.955975,1,1,0.977848,1,0.952532,0.984177]
area_under_roc_curve
0.9903222275296553 [0.968553,1,1,1,1,1,0.996835,1,1,1,1,1,1,1,1,0.993711,1,1,1,1,1,1,1,1,1,1,0.974843,1,0.990506,1,1,1,1,0.981132,0.996835,1,0.993671,0.968354,1,1,0.918239,0.996835,1,0.984177,0.981013,0.908228,1,0.990506,0.949686,1,1,0.993671,1,0.800633,0.984177,0.937107,1,1,0.993671,0.987342,1,1,1,1,1,1,0.990506,1,0.971519,0.981132,1,0.993711,0.974684,1,0.990506,0.96519,1,0.993711,1,0.996835,1,1,1,0.993711,0.993671,1,1,0.981013,0.993711,1,1,1,1,0.990506,0.987421,0.987342,0.987421,0.993671,0.996835,1]
area_under_roc_curve
0.9922286740705356 [0.981132,0.993671,0.993711,1,1,0.993711,1,0.930818,0.993671,1,1,1,0.996835,0.987342,0.996835,1,1,0.993711,0.990506,0.993711,1,1,1,1,1,0.893082,1,0.996835,0.987342,1,1,1,1,0.981132,0.996835,0.996835,0.984177,1,1,1,0.987421,1,1,0.996835,1,0.882911,1,0.990506,1,0.993711,0.996835,0.990506,1,0.990506,0.993671,0.962264,1,1,0.981013,1,1,0.993671,0.981013,1,0.987421,1,0.993671,1,0.996835,0.949686,0.943396,1,0.974684,1,0.981013,0.996835,1,0.993711,0.974843,1,1,0.962264,1,0.943396,1,1,1,0.990506,1,1,1,1,1,0.996835,1,1,1,1,1,1]
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
0.6273193841294907
kappa
0.6526270082501086
kappa
0.602162844851403
kappa
0.621002763521516
kappa
0.5704697986577181
kappa
0.5831688639772638
kappa
0.5703849950641658
kappa
0.5958001105234073
kappa
0.6210775606867969
kappa
0.6462273463102618
kb_relative_information_score
107.42756517769111
kb_relative_information_score
105.66768558473464
kb_relative_information_score
104.94349262872547
kb_relative_information_score
104.98681241353088
kb_relative_information_score
104.94905664831703
kb_relative_information_score
104.4294940856667
kb_relative_information_score
105.9352994892934
kb_relative_information_score
105.69863816171782
kb_relative_information_score
109.51584555297873
kb_relative_information_score
108.95787084980716
mean_absolute_error
0.014211683557835756
mean_absolute_error
0.014366467417656886
mean_absolute_error
0.014381396304161001
mean_absolute_error
0.014434069773226565
mean_absolute_error
0.014380852413692241
mean_absolute_error
0.014408351706251668
mean_absolute_error
0.014492507862076143
mean_absolute_error
0.014374115516569651
mean_absolute_error
0.014068411007691493
mean_absolute_error
0.014184052888062348
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
0.63125
predictive_accuracy
0.65625
predictive_accuracy
0.60625
predictive_accuracy
0.625
predictive_accuracy
0.575
predictive_accuracy
0.5875
predictive_accuracy
0.575
predictive_accuracy
0.6
predictive_accuracy
0.625
predictive_accuracy
0.65
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
0.63125 [1,1,1,1,0.5,0,1,1,1,1,0.5,0.5,0.5,0,1,1,1,0,0,0,1,0,1,1,1,0,0,1,0.5,0,0.5,1,0.5,0,1,0,0,1,1,1,1,1,1,1,1,0.5,1,1,0.5,0.5,0.5,0.5,1,0,1,0,1,1,1,0.5,1,1,1,0,1,0.5,0.5,1,0,0,0,1,0.5,1,1,1,1,0.5,1,1,0.5,0.5,1,0,0.5,0.5,1,0.5,0,0,1,1,1,0.5,0.5,0.5,1,0.5,0,1]
recall
0.65625 [1,1,1,1,1,1,0.5,1,0.5,1,0.5,1,1,0.5,1,1,1,0,0.5,0,1,0,0,1,1,0,0.5,0.5,0.5,1,0.5,1,1,0.5,1,1,0,1,0,1,1,1,1,1,0.5,0.5,1,0,0,1,0.5,0.5,1,0.5,1,0,1,1,1,0.5,1,1,1,1,1,0.5,0.5,1,0,0,0.5,1,0.5,1,1,1,1,0,0.5,1,0.5,0.5,0,0,1,1,0.5,0.5,0.5,1,1,1,0,0,0,1,1,0,0,1]
recall
0.60625 [0,0.5,1,1,0.5,0,1,1,0,1,0,1,1,0.5,0,0.5,1,0.5,0,0,1,0,0,1,0,0.5,0.5,1,1,1,1,1,1,0,0,1,1,0,1,1,0,1,1,1,0.5,1,0.5,1,0.5,0.5,1,1,1,0.5,1,0,1,1,1,0,1,0,0.5,1,0.5,0.5,0,1,0,0,0.5,1,0,0.5,0,1,1,0,0.5,1,1,0.5,1,0.5,1,1,1,1,1,1,1,1,1,0.5,0.5,1,0.5,0.5,0,0.5]
recall
0.625 [1,1,1,1,0.5,0,1,1,0,0.5,1,0.5,1,0,1,1,1,0.5,0,0,0,1,0.5,1,0,0,0.5,1,1,0.5,1,1,1,0.5,1,0,1,0,1,1,0.5,1,1,1,1,1,1,1,1,1,0,1,0,0,0,0.5,1,1,1,0.5,1,1,1,1,0.5,0,0.5,1,0,0.5,0,0.5,1,1,0,0.5,1,0,1,1,0,0.5,1,0,1,1,1,1,0.5,1,1,1,0,0,0.5,0,0.5,0.5,0,0]
recall
0.575 [0.5,1,1,1,1,0.5,0,1,1,1,0.5,0.5,1,0,1,0.5,1,1,1,0,0.5,0.5,1,1,1,0,0.5,1,1,1,1,1,0,0,1,1,0.5,0,0,1,1,1,0,1,1,0,1,0,0.5,0.5,0,0,0,0,0,0,1,0.5,1,0,1,1,1,0,0.5,0,0,1,0,0,0,1,1,0,0,1,0.5,0,1,1,0,1,0.5,0,0,1,1,1,1,1,1,1,0,0,0.5,1,0.5,1,0,0.5]
recall
0.5875 [0,1,1,0.5,1,0.5,1,1,1,0.5,0.5,1,1,0,1,1,1,0.5,1,0,1,1,0.5,1,0.5,0,0.5,1,1,1,0,1,0.5,1,0,1,0.5,0.5,0,1,1,0.5,1,1,1,1,1,0,0.5,0.5,1,0,1,0,0,0,1,1,0,1,0.5,0.5,0,1,1,0.5,0,1,0,0.5,0,1,1,1,0,1,1,0,1,0,1,0,1,0.5,0,1,0,0,0,1,1,1,0,0,0,1,0.5,0,0,0.5]
recall
0.575 [0.5,1,1,0.5,1,1,1,1,0,0.5,1,1,0.5,0,0,0.5,1,0,0.5,0,1,1,0.5,1,0.5,0,0,0.5,0,1,0.5,1,1,0,1,1,0,1,0.5,1,0,0,1,0,0,0.5,0.5,0.5,1,1,0,0.5,0.5,0,0.5,0,1,0.5,0.5,0,0,0.5,1,0.5,1,1,0,1,0,0,1,1,1,1,1,1,1,0,1,1,0.5,1,0.5,0.5,1,1,0.5,0,0,0.5,1,1,0.5,0,0,0.5,1,0,0,0.5]
recall
0.6 [1,1,1,0.5,1,0,1,1,1,0.5,1,1,0.5,0,1,0.5,1,0,0.5,0,0.5,1,0.5,1,0.5,0,0,0.5,1,0.5,0,1,1,1,1,1,0.5,0,1,1,1,1,1,0,1,0.5,1,1,0,1,0,0.5,0.5,1,0.5,0,1,1,0.5,1,1,0.5,1,0.5,1,0,1,1,0,0,0,1,1,0,0,1,1,0,1,1,0,0,0,0.5,0,0.5,1,0,1,1,1,1,0,0,0,1,0.5,1,0,0.5]
recall
0.625 [0,1,1,1,1,1,1,1,0.5,1,1,1,1,0.5,1,0,1,1,1,0,1,1,1,1,1,0,0,1,1,1,1,1,1,1,0.5,1,0.5,0,0.5,1,0,0.5,1,0.5,0,0,1,0,0,1,1,0,1,0,0,0,1,1,0,0,1,1,0.5,0.5,1,1,0.5,1,0.5,0,0,0,0.5,1,0.5,0.5,1,0,1,0.5,1,1,1,0,0.5,1,1,0.5,0,1,1,0.5,0,0,0,0.5,0,0.5,0,1]
recall
0.65 [0,0,1,1,1,0,0.5,0,1,1,1,1,1,0.5,1,0,1,0,0.5,1,1,1,1,1,0.5,0,1,0.5,0.5,1,1,1,1,0,1,1,0,1,0,1,0,1,0.5,0.5,1,0.5,1,0.5,1,1,1,0.5,1,0.5,0.5,0,1,1,0,0.5,1,0.5,0,1,1,1,0.5,1,0.5,0,0,0,0,1,0.5,1,1,0,0,1,1,0,1,0,0.5,1,1,0,0,0.5,1,1,1,0,1,1,1,1,0,0]
relative_absolute_error
0.7177617958502895
relative_absolute_error
0.7255791625079223
relative_absolute_error
0.7263331466747968
relative_absolute_error
0.7289934228902294
relative_absolute_error
0.7263056774592029
relative_absolute_error
0.7276945306187699
relative_absolute_error
0.7319448415189959
relative_absolute_error
0.7259654301297792
relative_absolute_error
0.7105258084692662
relative_absolute_error
0.7163663074778952
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
0.07792283670661405
root_mean_squared_error
0.07865601033395633
root_mean_squared_error
0.07921052985996854
root_mean_squared_error
0.07928202557379886
root_mean_squared_error
0.07959924837253704
root_mean_squared_error
0.07987169211211748
root_mean_squared_error
0.0798195605303117
root_mean_squared_error
0.0791629974084321
root_mean_squared_error
0.07727671981478963
root_mean_squared_error
0.07817667415422094
root_relative_squared_error
0.7831539756241568
root_relative_squared_error
0.7905226478304543
root_relative_squared_error
0.7960957787598731
root_relative_squared_error
0.7968143377201574
root_relative_squared_error
0.8000025468060997
root_relative_squared_error
0.8027407094141894
root_relative_squared_error
0.8022167673033485
root_relative_squared_error
0.7956180596474123
root_relative_squared_error
0.7766602565305439
root_relative_squared_error
0.7857051379618948
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
7768.18901799993
usercpu_time_millis
7644.788379999909
usercpu_time_millis
7587.749871999904
usercpu_time_millis
7625.934673000074
usercpu_time_millis
7617.71815499992
usercpu_time_millis
7573.834026999975
usercpu_time_millis
7800.275536999834
usercpu_time_millis
7632.279012000026
usercpu_time_millis
7629.448329999832
usercpu_time_millis
7631.847273999824
usercpu_time_millis_testing
34.511930999997276
usercpu_time_millis_testing
34.347534999938034
usercpu_time_millis_testing
34.40701399995305
usercpu_time_millis_testing
34.444302999986576
usercpu_time_millis_testing
34.427364999942256
usercpu_time_millis_testing
34.70944399998643
usercpu_time_millis_testing
37.992213999928026
usercpu_time_millis_testing
34.96026499999516
usercpu_time_millis_testing
34.390406999932566
usercpu_time_millis_testing
34.581905999857554
usercpu_time_millis_training
7733.677086999933
usercpu_time_millis_training
7610.440844999971
usercpu_time_millis_training
7553.342857999951
usercpu_time_millis_training
7591.490370000088
usercpu_time_millis_training
7583.290789999978
usercpu_time_millis_training
7539.124582999989
usercpu_time_millis_training
7762.283322999906
usercpu_time_millis_training
7597.318747000031
usercpu_time_millis_training
7595.057922999899
usercpu_time_millis_training
7597.265367999967