4058790
1
Jan van Rijn
9954
Supervised Classification
6840
sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,classifier=sklearn.tree.tree.DecisionTreeClassifier)(1)
2095430
axis
0
6758
copy
true
6758
missing_values
"NaN"
6758
strategy
"most_frequent"
6758
verbose
0
6758
class_weight
null
6841
criterion
"gini"
6841
max_depth
1.9417678817269615
6841
max_features
1.0
6841
max_leaf_nodes
null
6841
min_impurity_split
1e-07
6841
min_samples_leaf
16
6841
min_samples_split
4
6841
min_weight_fraction_leaf
0.0
6841
presort
false
6841
random_state
7206
6841
splitter
"best"
6841
openml-pimp
openml-python
Sklearn_0.18.1.
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
9089294
description
https://api.openml.org/data/download/9089294/description.xml
-1
9089299
predictions
https://api.openml.org/data/download/9089299/predictions.arff
area_under_roc_curve
0.452417 [0.434659,0.437145,0.436869,0.434659,0.437145,0.434659,0.434265,0.434659,0.437145,0.781566,0.436869,0.436869,0.434265,0.437145,0.437145,0.434659,0.436869,0.436869,0.434265,0.434659,0.434659,0.434659,0.434659,0.434659,0.434659,0.436869,0.436869,0.434265,0.437145,0.434659,0.434265,0.400588,0.436869,0.436869,0.434265,0.434659,0.434659,0.434659,0.434659,0.436869,0.434659,0.434659,0.434265,0.434265,0.437145,0.434265,0.434659,0.434659,0.436869,0.436869,0.437145,0.434265,0.434659,0.437145,0.434659,0.434659,0.782276,0.434659,0.586293,0.437145,0.434659,0.434659,0.607599,0.434265,0.434659,0.436869,0.437145,0.5189,0.434659,0.434659,0.436869,0.645833,0.410215,0.437145,0.434659,0.437145,0.436869,0.436869,0.436869,0.494831,0.434265,0.607323,0.434659,0.645833,0.434265,0.434265,0.434265,0.437145,0.436869,0.434659,0.437145,0.433278,0.434265,0.437145,0.436869,0.434265,0.434659,0.437145,0.434265,0.434659]
average_cost
0
f_measure
0.009064 [0.012308,0.012559,0,0.011976,0,0,0,0,0,0.363636,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.380952,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
kappa
0.002525
kb_relative_information_score
24.258101
mean_absolute_error
0.019673
mean_prior_absolute_error
0.0198
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
0.016107 [0.006309,0.006441,0,0.006289,0,0,0,0,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
predictive_accuracy
0.0125
prior_entropy
6.643856
recall
0.0125 [0.25,0.25,0,0.125,0,0,0,0,0,0.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.993583
root_mean_prior_squared_error
0.099499
root_mean_squared_error
0.099252
root_relative_squared_error
0.997521
total_cost
0
area_under_roc_curve
0.512368 [0.509434,0.509494,0.509494,0.509434,0.509494,0.509434,0.509494,0.509434,0.509494,0.993711,0.509494,0.509494,0.509494,0.509494,0.509494,0.509434,0.509494,0.509494,0.509494,0.509434,0.509434,0.509434,0.509434,0.509434,0.509434,0.509494,0.509494,0.509494,0.509494,0.509434,0.509494,0.509494,0.509494,0.509494,0.509494,0.509434,0.509434,0.509434,0.509434,0.509494,0.509434,0.509434,0.509494,0.509494,0.509494,0.509494,0.509434,0.509434,0.509494,0.509494,0.509494,0.509494,0.509434,0.509494,0.509434,0.509434,0.509494,0.509434,0.509434,0.509494,0.509434,0.509434,0.509494,0.509494,0.509434,0.509494,0.509494,0.993711,0.509434,0.509434,0.509494,0.509434,0.256329,0.509494,0.509434,0.509494,0.509494,0.509494,0.509494,0.509494,0.509494,0.509494,0.509434,0.509434,0.509494,0.509494,0.509494,0.509494,0.509494,0.509434,0.509494,0.509434,0.509494,0.509494,0.509494,0.509494,0.509434,0.509494,0.509494,0.509434]
area_under_roc_curve
0.506186 [0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503145,0.503165,1,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503145,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503145,0.496835,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145]
area_under_roc_curve
0.506186 [0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.496835,0.503165,0.503165,0.503145,0.503145,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,1,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165]
area_under_roc_curve
0.506186 [0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.496835,0.503165,0.503165,0.503145,0.503145,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,1,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165]
area_under_roc_curve
0.506082 [0.506329,0.506289,0.506329,0.506329,0.506289,0.506329,0.506289,0.506329,0.506289,0.506329,0.506329,0.506329,0.506289,0.506289,0.506289,0.506329,0.506329,0.506329,0.506289,0.506329,0.506329,0.506329,0.506329,0.506329,0.506329,0.506329,0.506329,0.506289,0.506289,0.506329,0.506289,0.003145,0.506329,0.506329,0.506289,0.506329,0.506329,0.506329,0.506329,0.506329,0.506329,0.506329,0.506289,0.506289,0.506289,0.506289,0.506329,0.506329,0.506329,0.506329,0.506289,0.506289,0.506329,0.506289,0.506329,0.506329,0.996855,0.506329,0.506329,0.506289,0.506329,0.506329,0.506289,0.506289,0.506329,0.506329,0.506289,0.506329,0.506329,0.506329,0.506329,0.506329,0.506289,0.506289,0.506329,0.506289,0.506329,0.506329,0.506329,0.506289,0.506289,0.506329,0.506329,0.506329,0.506289,0.506289,0.506289,0.506289,0.506329,0.506329,0.506289,0.493671,0.506289,0.506289,0.506329,0.506289,0.506329,0.506289,0.506289,0.506329]
area_under_roc_curve
0.506226 [0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.496855,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503165,1,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165]
area_under_roc_curve
0.547078 [0.525316,0.525157,0.525157,0.525316,0.525157,0.525316,0.525316,0.525316,0.525157,0.525316,0.525157,0.525157,0.525316,0.525157,0.525157,0.525316,0.525157,0.525157,0.525316,0.525316,0.525316,0.525316,0.525316,0.525316,0.525316,0.525157,0.525157,0.525316,0.525157,0.525316,0.525316,0.525157,0.525157,0.525157,0.525316,0.525316,0.525316,0.525316,0.525316,0.525157,0.525316,0.525316,0.525316,0.525316,0.525157,0.525316,0.525316,0.525316,0.525157,0.525157,0.525157,0.525316,0.525316,0.525157,0.525316,0.525316,0.525316,0.525316,0.981013,0.525157,0.525316,0.525316,0.977987,0.525316,0.525316,0.525157,0.525157,0.474684,0.525316,0.525316,0.525157,0.981013,0.525316,0.525157,0.525316,0.525157,0.525157,0.525157,0.525157,0.474843,0.525316,0.977987,0.525316,0.981013,0.525316,0.525316,0.525316,0.525157,0.525157,0.525316,0.525157,0.525316,0.525316,0.525157,0.525157,0.525316,0.525316,0.525157,0.525316,0.525316]
area_under_roc_curve
0.547078 [0.525316,0.525157,0.525157,0.525316,0.525157,0.525316,0.525316,0.525316,0.525157,0.525316,0.525157,0.525157,0.525316,0.525157,0.525157,0.525316,0.525157,0.525157,0.525316,0.525316,0.525316,0.525316,0.525316,0.525316,0.525316,0.525157,0.525157,0.525316,0.525157,0.525316,0.525316,0.525157,0.525157,0.525157,0.525316,0.525316,0.525316,0.525316,0.525316,0.525157,0.525316,0.525316,0.525316,0.525316,0.525157,0.525316,0.525316,0.525316,0.525157,0.525157,0.525157,0.525316,0.525316,0.525157,0.525316,0.525316,0.525316,0.525316,0.727848,0.525157,0.525316,0.525316,0.977987,0.525316,0.525316,0.525157,0.525157,0.727848,0.525316,0.525316,0.525157,0.981013,0.525316,0.525157,0.525316,0.525157,0.525157,0.525157,0.525157,0.474843,0.525316,0.977987,0.525316,0.981013,0.525316,0.525316,0.525316,0.525157,0.525157,0.525316,0.525157,0.525316,0.525316,0.525157,0.525157,0.525316,0.525316,0.525157,0.525316,0.525316]
area_under_roc_curve
0.506186 [0.503145,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,1,0.503145,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503145,0.503145,0.503145,0.496835,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503145]
area_under_roc_curve
0.506186 [0.503145,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,1,0.503145,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503145,0.503145,0.503145,0.496835,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503145]
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
f_measure
0.003204 [0.012658,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.006328 [0.0125,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.006328 [0,0,0,0.0125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
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f_measure
0.004245 [0,0.012579,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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kappa
0.006289
kappa
0.006289
kappa
0.006289
kappa
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kappa
0.006289
kappa
0.006289
kappa
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kappa
0.006289
kappa
0.006289
kappa
0.006289
kb_relative_information_score
1.806389
kb_relative_information_score
1.421577
kb_relative_information_score
1.421577
kb_relative_information_score
1.421577
kb_relative_information_score
1.408104
kb_relative_information_score
1.410557
kb_relative_information_score
6.405048
kb_relative_information_score
6.120121
kb_relative_information_score
1.421577
kb_relative_information_score
1.421577
mean_absolute_error
0.019679
mean_absolute_error
0.019684
mean_absolute_error
0.019684
mean_absolute_error
0.019684
mean_absolute_error
0.019685
mean_absolute_error
0.019684
mean_absolute_error
0.019623
mean_absolute_error
0.019637
mean_absolute_error
0.019684
mean_absolute_error
0.019684
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
mean_prior_absolute_error
0.0198
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]
precision
0.002123 [0.006369,0,0,0,0,0,0,0,0,0.333333,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.006289 [0.006289,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.006289 [0,0,0,0.006289,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.006289 [0,0,0,0.006289,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.003165 [0,0.006329,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.006289 [0,0.006289,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.000822 [0,0.006579,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.000822 [0,0.006579,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.006289 [0.006289,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.006289 [0.006289,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
prior_entropy
6.643856
recall
0.0125 [1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.993875
relative_absolute_error
0.99415
relative_absolute_error
0.99415
relative_absolute_error
0.99415
relative_absolute_error
0.994216
relative_absolute_error
0.994145
relative_absolute_error
0.991072
relative_absolute_error
0.991774
relative_absolute_error
0.99415
relative_absolute_error
0.99415
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_prior_squared_error
0.099499
root_mean_squared_error
0.099717
root_mean_squared_error
0.099196
root_mean_squared_error
0.099196
root_mean_squared_error
0.099196
root_mean_squared_error
0.099477
root_mean_squared_error
0.099195
root_mean_squared_error
0.099036
root_mean_squared_error
0.099114
root_mean_squared_error
0.099196
root_mean_squared_error
0.099196
root_relative_squared_error
1.002193
root_relative_squared_error
0.996957
root_relative_squared_error
0.996957
root_relative_squared_error
0.996957
root_relative_squared_error
0.999783
root_relative_squared_error
0.996952
root_relative_squared_error
0.995346
root_relative_squared_error
0.996134
root_relative_squared_error
0.996957
root_relative_squared_error
0.996957
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
131.0501930000001
usercpu_time_millis
133.88365500000177
usercpu_time_millis
129.29306799999907
usercpu_time_millis
134.25050399999705
usercpu_time_millis
130.4812040000023
usercpu_time_millis
130.98929399999548
usercpu_time_millis
131.0328940000005
usercpu_time_millis
147.03608700000004
usercpu_time_millis
139.63409899999846
usercpu_time_millis
132.12842500000122
usercpu_time_millis_testing
0.881468999999413
usercpu_time_millis_testing
0.8714800000007017
usercpu_time_millis_testing
0.8691519999999286
usercpu_time_millis_testing
0.8724299999975926
usercpu_time_millis_testing
0.8595430000006843
usercpu_time_millis_testing
0.9044119999970235
usercpu_time_millis_testing
0.9275809999991225
usercpu_time_millis_testing
0.9694140000000573
usercpu_time_millis_testing
0.8812009999985548
usercpu_time_millis_testing
0.8883960000005686
usercpu_time_millis_training
130.16872400000068
usercpu_time_millis_training
133.01217500000106
usercpu_time_millis_training
128.42391599999914
usercpu_time_millis_training
133.37807399999946
usercpu_time_millis_training
129.6216610000016
usercpu_time_millis_training
130.08488199999846
usercpu_time_millis_training
130.1053130000014
usercpu_time_millis_training
146.06667299999998
usercpu_time_millis_training
138.7528979999999
usercpu_time_millis_training
131.24002900000065