5962112
1
Jan van Rijn
9954
Supervised Classification
6970
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)
3996852
class_weight
null
6941
criterion
"gini"
6941
max_depth
1
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
2872
6941
splitter
"best"
6941
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
algorithm
"SAMME.R"
6971
learning_rate
1.2292876888832796
6971
n_estimators
225
6971
random_state
56290
6971
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
12847633
description
https://api.openml.org/data/download/12847633/description.xml
-1
12847634
predictions
https://api.openml.org/data/download/12847634/predictions.arff
area_under_roc_curve
0.5627462121212125 [0.517933,0.592961,0.515625,0.541785,0.522964,0.564236,0.511521,0.494831,0.592961,0.995245,0.588048,0.519709,0.575363,0.525943,0.529474,0.49276,0.541746,0.541746,0.530619,0.517933,0.535413,0.510456,0.517933,0.580118,0.535413,0.541746,0.541746,0.530619,0.548217,0.517775,0.530619,0.511304,0.541746,0.541746,0.530619,0.535413,0.535413,0.535413,0.599432,0.539062,0.517933,0.535413,0.532453,0.530619,0.528587,0.530619,0.58432,0.516434,0.541746,0.541746,0.548217,0.534604,0.537247,0.548217,0.535413,0.517933,0.999822,0.461648,0.873954,0.548217,0.535413,0.535413,0.928326,0.530619,0.517933,0.541746,0.548217,0.575363,0.535413,0.517933,0.541746,0.987808,0.501756,0.522964,0.513139,0.548217,0.541746,0.541746,0.541746,0.504419,0.530303,0.936001,0.517933,0.924657,0.530619,0.508345,0.474294,0.548217,0.541746,0.516434,0.548217,0.516276,0.530619,0.529119,0.516493,0.51164,0.504202,0.590554,0.530619,0.517933]
average_cost
0
kappa
0.02588383838383838
kb_relative_information_score
29.930693588633194
mean_absolute_error
0.019781312737516855
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]
predictive_accuracy
0.035625
prior_entropy
6.6438561897747395
recall
0.035625 [0.25,0.25,0,0.1875,0,0,0,0,0,0.5625,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0625,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0625,0.125,0,0,0,0.125,0,0,0,0,0.8125,0,0.625,0,0,0,0.375,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9990561988644859
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09945901592387531
root_relative_squared_error
0.9996007207196272
total_cost
0
area_under_roc_curve
0.5591310654008445 [0.534591,0.53481,0.53481,0.534591,0.53481,0.534591,0.53481,0.534591,0.53481,0.996855,0.53481,0.53481,0.53481,0.53481,0.53481,0.534591,0.53481,0.53481,0.53481,0.534591,0.534591,0.534591,0.534591,0.534591,0.534591,0.53481,0.53481,0.53481,0.53481,0.534591,0.53481,0.522152,0.53481,0.53481,0.53481,0.534591,0.534591,0.534591,0.534591,0.53481,0.534591,0.534591,0.53481,0.53481,0.53481,0.53481,0.534591,0.534591,0.53481,0.53481,0.53481,0.53481,0.534591,0.53481,0.534591,0.534591,1,0.534591,0.987421,0.53481,0.534591,0.534591,0.984177,0.53481,0.534591,0.53481,0.53481,0.490566,0.534591,0.534591,0.53481,1,0.295886,0.53481,0.534591,0.53481,0.53481,0.53481,0.53481,0.490506,0.53481,0.974684,0.534591,0.981132,0.53481,0.53481,0.53481,0.53481,0.53481,0.534591,0.53481,0.534591,0.53481,0.53481,0.53481,0.53481,0.534591,0.53481,0.53481,0.534591]
area_under_roc_curve
0.5704820476076745 [0.537736,0.537975,0.537975,0.537736,0.537975,0.537736,0.537975,0.537736,0.537975,1,0.537975,0.537975,0.537975,0.537975,0.537975,0.537736,0.537975,0.537975,0.537975,0.537736,0.537736,0.537736,0.537736,0.537736,0.537736,0.537975,0.537975,0.537975,0.537975,0.537736,0.537975,0.525316,0.537975,0.537975,0.537975,0.537736,0.537736,0.537736,0.537736,0.537975,0.537736,0.537736,0.537975,0.537975,0.537975,0.537975,0.537736,0.537736,0.537975,0.537975,0.537975,0.537975,0.537736,0.537975,0.537736,0.537736,1,0.537736,0.987421,0.537975,0.537736,0.537736,0.990506,0.537975,0.537736,0.537975,0.537975,0.481132,0.537736,0.537736,0.537975,0.987421,0.531646,0.537975,0.537736,0.537975,0.537975,0.537975,0.537975,0.974684,0.537975,0.958861,0.537736,0.937107,0.537975,0.537975,0.537975,0.537975,0.537975,0.537736,0.537975,0.537736,0.537975,0.537975,0.537975,0.537975,0.537736,0.537975,0.537975,0.537736]
area_under_roc_curve
0.5700196789666425 [0.537975,0.537975,0.537975,0.537736,0.537975,0.537975,0.537736,0.537975,0.537975,1,0.537975,0.537975,0.537736,0.537975,0.537975,0.537975,0.537975,0.537975,0.537736,0.537975,0.537736,0.537736,0.537975,0.537736,0.537736,0.537975,0.537975,0.537736,0.537975,0.537975,0.537736,0.531646,0.537975,0.537975,0.537736,0.537736,0.537736,0.537736,0.537736,0.537975,0.537975,0.537736,0.537736,0.537736,0.537975,0.537736,0.537975,0.537736,0.537975,0.537975,0.537975,0.537736,0.537736,0.537975,0.537736,0.537975,1,0.537975,0.481132,0.537975,0.537736,0.537736,0.976266,0.537736,0.537975,0.537975,0.537975,0.742089,0.537736,0.537975,0.537975,0.993671,0.525157,0.537975,0.537736,0.537975,0.537975,0.537975,0.537975,0.481013,0.537736,0.971519,0.537975,0.97943,0.537736,0.537736,0.537736,0.537975,0.537975,0.537736,0.537975,0.537736,0.537736,0.537975,0.537975,0.537736,0.537975,0.537975,0.537736,0.537975]
area_under_roc_curve
0.5698415482445662 [0.537975,0.537975,0.537975,0.537736,0.537975,0.537975,0.537736,0.537975,0.537975,1,0.537975,0.537975,0.537736,0.537975,0.537975,0.537975,0.537975,0.537975,0.537736,0.537975,0.537736,0.537736,0.537975,0.537736,0.537736,0.537975,0.537975,0.537736,0.537975,0.537975,0.537736,0.531646,0.537975,0.537975,0.537736,0.537736,0.537736,0.537736,0.537736,0.537975,0.537975,0.537736,0.537736,0.537736,0.537975,0.537736,0.537975,0.537736,0.537975,0.537975,0.537975,0.537736,0.537736,0.537975,0.537736,0.537975,1,0.537975,0.984277,0.537975,0.537736,0.537736,0.982595,0.537736,0.537975,0.537975,0.537975,0.481013,0.537736,0.537975,0.537975,0.982595,0.525157,0.537975,0.537736,0.537975,0.537975,0.537975,0.537975,0.481013,0.537736,0.968354,0.537975,0.982595,0.537736,0.537736,0.537736,0.537975,0.537975,0.537736,0.537975,0.537736,0.537736,0.537975,0.537975,0.537736,0.537975,0.537975,0.537736,0.537975]
area_under_roc_curve
0.5823093304673193 [0.547468,0.54717,0.547468,0.547468,0.54717,0.547468,0.54717,0.547468,0.54717,1,0.547468,0.547468,0.54717,0.54717,0.54717,0.547468,0.547468,0.547468,0.54717,0.547468,0.547468,0.547468,0.547468,0.547468,0.547468,0.547468,0.547468,0.54717,0.54717,0.547468,0.54717,0.084906,0.547468,0.547468,0.54717,0.547468,0.547468,0.547468,0.547468,0.547468,0.547468,0.547468,0.54717,0.54717,0.54717,0.54717,0.547468,0.547468,0.547468,0.547468,0.54717,0.54717,0.547468,0.54717,0.547468,0.547468,0.996855,0.547468,0.977848,0.54717,0.547468,0.547468,0.974843,0.54717,0.547468,0.547468,0.54717,1,0.547468,0.547468,0.547468,0.977848,0.534591,0.54717,0.547468,0.54717,0.547468,0.547468,0.547468,0.477987,0.54717,0.977848,0.547468,0.977848,0.54717,0.54717,0.54717,0.54717,0.547468,0.547468,0.54717,0.547468,0.54717,0.54717,0.547468,0.54717,0.547468,0.54717,0.54717,0.547468]
area_under_roc_curve
0.5691480574795003 [0.541139,0.540881,0.541139,0.541139,0.540881,0.541139,0.540881,0.541139,0.540881,0.734177,0.541139,0.541139,0.540881,0.540881,0.540881,0.541139,0.541139,0.541139,0.540881,0.541139,0.541139,0.515823,0.541139,0.541139,0.541139,0.541139,0.541139,0.540881,0.540881,0.541139,0.540881,1,0.541139,0.541139,0.540881,0.541139,0.541139,0.541139,0.541139,0.515823,0.541139,0.541139,0.540881,0.540881,0.540881,0.540881,0.541139,0.541139,0.541139,0.541139,0.540881,0.540881,0.541139,0.540881,0.541139,0.541139,1,0.541139,0.987342,0.540881,0.541139,0.541139,0.987421,0.540881,0.541139,0.541139,0.540881,0.237342,0.541139,0.541139,0.541139,0.982595,0.540881,0.540881,0.541139,0.540881,0.541139,0.541139,0.541139,0.477987,0.540881,0.982595,0.541139,0.968354,0.540881,0.540881,0.540881,0.540881,0.541139,0.541139,0.540881,0.541139,0.540881,0.540881,0.541139,0.540881,0.541139,0.540881,0.540881,0.541139]
area_under_roc_curve
0.5707159063768805 [0.537975,0.537736,0.537736,0.537975,0.537736,0.537975,0.537975,0.537975,0.537736,1,0.537736,0.537736,0.537975,0.537736,0.537736,0.537975,0.537736,0.537736,0.537975,0.537975,0.537975,0.537975,0.537975,0.537975,0.537975,0.537736,0.537736,0.537975,0.537736,0.537975,0.537975,0.525157,0.537736,0.537736,0.537975,0.537975,0.537975,0.537975,0.537975,0.537736,0.537975,0.537975,0.537975,0.537975,0.537736,0.537975,0.537975,0.537975,0.537736,0.537736,0.537736,0.537975,0.537975,0.537736,0.537975,0.537975,1,0.537975,0.993671,0.537736,0.537975,0.537975,0.965409,0.537975,0.537975,0.537736,0.537736,0.487342,0.537975,0.537975,0.537736,0.993671,0.525316,0.537736,0.537975,0.537736,0.537736,0.537736,0.537736,0.487421,0.537975,0.965409,0.537975,0.993671,0.537975,0.537975,0.537975,0.537736,0.537736,0.537975,0.537736,0.537975,0.537975,0.537736,0.537736,0.537975,0.537975,0.537736,0.537975,0.537975]
area_under_roc_curve
0.5706355485232064 [0.537975,0.537736,0.537736,0.537975,0.537736,0.537975,0.537975,0.537975,0.537736,1,0.537736,0.537736,0.537975,0.537736,0.537736,0.537975,0.537736,0.537736,0.537975,0.537975,0.537975,0.537975,0.537975,0.537975,0.537975,0.537736,0.537736,0.537975,0.537736,0.537975,0.537975,0.525157,0.537736,0.537736,0.537975,0.537975,0.537975,0.537975,0.537975,0.537736,0.537975,0.537975,0.537975,0.537975,0.537736,0.537975,0.537975,0.537975,0.537736,0.537736,0.537736,0.537975,0.537975,0.537736,0.537975,0.537975,1,0.537975,0.724684,0.537736,0.537975,0.537975,0.990566,0.537975,0.537975,0.537736,0.537736,0.743671,0.537975,0.537975,0.537736,0.993671,0.525316,0.537736,0.537975,0.537736,0.537736,0.537736,0.537736,0.487421,0.537975,0.971698,0.537975,0.984177,0.537975,0.537975,0.537975,0.537736,0.537736,0.537975,0.537736,0.537975,0.537975,0.537736,0.537736,0.537975,0.537975,0.537736,0.537975,0.537975]
area_under_roc_curve
0.5531079581641587 [0.528302,0.528481,0.528302,0.528481,0.528481,0.528302,0.528481,0.528302,0.528481,1,0.528302,0.528302,0.528481,0.528481,0.528481,0.528302,0.528302,0.528302,0.528481,0.528302,0.528481,0.528481,0.528302,0.528481,0.528481,0.528302,0.528302,0.528481,0.528481,0.528302,0.528481,0.515823,0.528302,0.528302,0.528481,0.528481,0.528481,0.528481,0.528481,0.528302,0.528302,0.528481,0.528481,0.528481,0.528481,0.528481,0.528302,0.528481,0.528302,0.528302,0.528481,0.528481,0.528481,0.528481,0.528481,0.528302,1,0.528302,0.988924,0.528481,0.528481,0.528481,0.977848,0.528481,0.528302,0.528302,0.528481,0.490566,0.528481,0.528302,0.528302,0.996855,0.522152,0.528481,0.528481,0.528481,0.528302,0.528302,0.528302,0.490506,0.528481,0.471698,0.528302,0.981132,0.528481,0.528481,0.528481,0.528481,0.528302,0.528481,0.528481,0.528481,0.528481,0.528481,0.528302,0.528481,0.528302,0.528481,0.528481,0.528302]
area_under_roc_curve
0.728136817331423 [0.672956,0.898734,0.402516,0.925633,0.420886,0.896226,0.898734,0.871069,0.898734,1,0.896226,0.896226,0.898734,0.65981,0.993671,0.421384,0.672956,0.672956,0.674051,0.672956,0.674051,0.647152,0.672956,0.898734,0.674051,0.672956,0.672956,0.674051,0.674051,0.647799,0.674051,0.661392,0.672956,0.672956,0.674051,0.674051,0.674051,0.674051,0.992089,0.672956,0.672956,0.674051,0.821203,0.674051,0.922468,0.674051,0.996855,0.898734,0.672956,0.672956,0.674051,0.993671,0.821203,0.674051,0.674051,0.672956,1,0.147799,0.987342,0.674051,0.674051,0.674051,0.675633,0.674051,0.672956,0.672956,0.674051,0.628931,0.674051,0.672956,0.672956,0.984277,0.667722,0.420886,0.65981,0.674051,0.672956,0.672956,0.672956,0.670886,0.648734,0.977987,0.672956,0.984277,0.674051,0.65981,0.40981,0.674051,0.672956,0.898734,0.674051,0.898734,0.674051,0.898734,0.421384,0.898734,0.377358,0.879747,0.674051,0.672956]
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
0.025042261272948854
kappa
0.024812237033541743
kappa
0.018597884638068652
kappa
0.02492726271919478
kappa
0.02500393143576034
kappa
0.031065670467951237
kappa
0.018597884638068652
kappa
0.024850581944007553
kappa
0.018559295375904377
kappa
0.07995273729814886
kb_relative_information_score
2.658325726961798
kb_relative_information_score
2.8834795037016114
kb_relative_information_score
2.8825928208823366
kb_relative_information_score
2.946818125673998
kb_relative_information_score
3.0071870312686686
kb_relative_information_score
3.018517097188534
kb_relative_information_score
2.782565328044001
kb_relative_information_score
2.791129154902196
kb_relative_information_score
2.5508676359861737
kb_relative_information_score
4.409211164023914
mean_absolute_error
0.01978279370254841
mean_absolute_error
0.01978215771127364
mean_absolute_error
0.019780998652174992
mean_absolute_error
0.019780593578278112
mean_absolute_error
0.019780073107264297
mean_absolute_error
0.01978315616318201
mean_absolute_error
0.019783035604638923
mean_absolute_error
0.01978176649134552
mean_absolute_error
0.0197844152954489
mean_absolute_error
0.019774137069015596
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
0.03125
predictive_accuracy
0.03125
predictive_accuracy
0.025
predictive_accuracy
0.03125
predictive_accuracy
0.03125
predictive_accuracy
0.0375
predictive_accuracy
0.025
predictive_accuracy
0.03125
predictive_accuracy
0.025
predictive_accuracy
0.0875
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
0.03125 [1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.03125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.025 [0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.03125 [0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.03125 [0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0375 [0,1,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.025 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.03125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.025 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0875 [1,0,0,0.5,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9991309950782009
relative_absolute_error
0.9990988743067477
relative_absolute_error
0.9990403359684323
relative_absolute_error
0.999019877690812
relative_absolute_error
0.998993591275973
relative_absolute_error
0.9991493011708069
relative_absolute_error
0.9991432123554995
relative_absolute_error
0.9990791157245195
relative_absolute_error
0.9992128937095387
relative_absolute_error
0.9986937913644224
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
0.09943453214697043
root_mean_squared_error
0.09943646203598967
root_mean_squared_error
0.09942558193539672
root_mean_squared_error
0.09942579099105028
root_mean_squared_error
0.09942096858731977
root_mean_squared_error
0.09973688628502202
root_mean_squared_error
0.09943587417233793
root_mean_squared_error
0.0994294138682898
root_mean_squared_error
0.09944275669608901
root_mean_squared_error
0.09940145526071884
root_relative_squared_error
0.9993546495031298
root_relative_squared_error
0.9993740456175659
root_relative_squared_error
0.9992646964922683
root_relative_squared_error
0.9992667975806416
root_relative_squared_error
0.9992183305995455
root_relative_squared_error
1.0023934229265494
root_relative_squared_error
0.9993681373655636
root_relative_squared_error
0.9993032088668992
root_relative_squared_error
0.9994373093319062
root_relative_squared_error
0.9990222142881912
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
2070.5030449999995
usercpu_time_millis
2081.1438540000004
usercpu_time_millis
2072.8673739999995
usercpu_time_millis
2078.6030349999987
usercpu_time_millis
2087.798728999999
usercpu_time_millis
2091.4766899999986
usercpu_time_millis
2082.881685000004
usercpu_time_millis
2090.4187259999994
usercpu_time_millis
2100.1237070000016
usercpu_time_millis
2099.8689919999974
usercpu_time_millis_testing
218.20539099999968
usercpu_time_millis_testing
218.53903600000012
usercpu_time_millis_testing
219.83492199999864
usercpu_time_millis_testing
219.2232969999992
usercpu_time_millis_testing
219.91888699999862
usercpu_time_millis_testing
219.66646999999995
usercpu_time_millis_testing
220.8739520000016
usercpu_time_millis_testing
219.4446009999993
usercpu_time_millis_testing
221.19069100000033
usercpu_time_millis_testing
220.82318799999712
usercpu_time_millis_training
1852.297654
usercpu_time_millis_training
1862.6048180000003
usercpu_time_millis_training
1853.0324520000008
usercpu_time_millis_training
1859.3797379999994
usercpu_time_millis_training
1867.8798420000007
usercpu_time_millis_training
1871.8102199999987
usercpu_time_millis_training
1862.0077330000022
usercpu_time_millis_training
1870.974125
usercpu_time_millis_training
1878.9330160000013
usercpu_time_millis_training
1879.0458040000003