8858398
1
Jan van Rijn
9954
Supervised Classification
7778
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.linear_model.logistic.LogisticRegression)(1)
6833162
axis
0
7660
categorical_features
[]
7660
copy
true
7660
fill_empty
0
7660
missing_values
"NaN"
7660
strategy
"median"
7660
strategy_nominal
"most_frequent"
7660
verbose
0
7660
categorical_features
[]
7661
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7661
handle_unknown
"ignore"
7661
n_values
"auto"
7661
sparse
true
7661
threshold
0.0
7662
C
1.0
7779
class_weight
null
7779
dual
false
7779
fit_intercept
true
7779
intercept_scaling
1
7779
max_iter
100
7779
multi_class
"ovr"
7779
n_jobs
1
7779
penalty
"l2"
7779
random_state
1
7779
solver
"liblinear"
7779
tol
0.0001
7779
verbose
0
7779
warm_start
false
7779
openml-python
Sklearn_0.18.1.
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
18632641
description
https://api.openml.org/data/download/18632641/description.xml
-1
18632640
predictions
https://api.openml.org/data/download/18632640/predictions.arff
area_under_roc_curve
0.9374676452020201 [0.741675,0.954269,0.974787,0.99712,0.984493,0.975694,0.987295,0.958176,0.977943,0.999763,0.965199,0.958846,0.933318,0.890112,0.960227,0.828638,0.971828,0.913984,0.917614,0.8823,0.948785,0.922033,0.911064,0.983546,0.958412,0.943419,0.852391,0.92953,0.964528,0.986861,0.94401,0.99637,0.891414,0.981218,0.929135,0.996567,0.946693,0.914773,0.993056,0.997672,0.831163,0.970644,0.999645,0.95206,0.98256,0.793048,0.990294,0.944326,0.942985,0.965199,0.876263,0.965593,0.936632,0.843237,0.940578,0.944129,0.999763,0.97309,0.961293,0.899661,0.982284,0.914062,0.984888,0.96587,0.986585,0.947325,0.854759,0.99633,0.931266,0.827612,0.879853,0.997356,0.904711,0.919705,0.893545,0.964489,0.980784,0.855193,0.981495,0.960582,0.917732,0.979285,0.956045,0.97455,0.862176,0.955887,0.996212,0.908894,0.916154,0.897175,0.921046,0.994831,0.974392,0.878117,0.908854,0.944721,0.875039,0.958176,0.814946,0.906921]
average_cost
0
kappa
0.1900252525252525
kb_relative_information_score
79.53546662858929
mean_absolute_error
0.01974226863433543
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
0.198125
prior_entropy
6.6438561897747395
recall
0.198125 [0,0.25,0.25,0.875,0.5,0.3125,0.5,0.25,0.3125,1,0.0625,0.1875,0.0625,0,0.0625,0,0.25,0,0,0,0,0,0.0625,0.3125,0.0625,0,0,0.125,0.1875,0.1875,0.0625,0.8125,0,0.0625,0.125,1,0,0,0.5,0.875,0,0.1875,1,0,0.25,0,0.3125,0,0.125,0.25,0,0.0625,0.1875,0.0625,0.1875,0,1,0.25,0.125,0,0.25,0,0.1875,0.25,0.4375,0,0,0.625,0,0.1875,0,0.9375,0,0.0625,0.0625,0.1875,0.125,0,0.3125,0,0,0.0625,0.25,0,0,0.0625,0.875,0,0.1875,0,0,0.625,0.25,0,0.0625,0.25,0.0625,0.1875,0,0.0625]
relative_absolute_error
0.9970842744613836
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09921701146042788
root_relative_squared_error
0.9971684843473656
total_cost
0
area_under_roc_curve
0.9608241780113047 [0.786164,0.974684,1,1,1,1,0.993671,0.993711,0.993671,1,0.968354,0.971519,0.949367,0.901899,0.984177,0.805031,0.981013,0.946203,0.908228,0.886792,0.899371,0.993711,0.974843,0.987421,1,0.971519,0.882911,1,0.996835,1,0.958861,1,0.898734,0.981013,0.958861,0.987421,0.968553,0.918239,1,1,0.949686,0.987421,1,0.987342,1,0.857595,0.993711,0.981132,0.987342,0.949367,0.927215,0.987342,0.974843,0.901899,0.987421,0.974843,1,1,0.987421,0.936709,1,0.974843,0.993671,0.990506,0.993711,0.981013,0.886076,1,0.993711,0.704403,0.879747,1,0.96519,0.958861,1,0.990506,0.993671,0.860759,1,0.977848,0.971519,0.990506,0.987421,0.968553,0.911392,0.968354,0.990506,0.993671,0.93038,0.893082,0.955696,0.993711,0.996835,0.914557,0.990506,0.984177,0.830189,0.949367,0.901899,0.987421]
area_under_roc_curve
0.9619272948013691 [0.823899,0.996835,1,1,1,1,0.993671,1,0.993671,1,0.974684,0.984177,0.981013,0.781646,1,0.855346,0.971519,0.958861,0.952532,0.874214,0.955975,0.930818,0.937107,0.987421,0.981132,0.943038,0.85443,1,0.974684,1,0.987342,1,0.920886,0.993671,0.977848,0.987421,0.962264,0.899371,0.993711,1,0.968553,0.993711,1,0.955696,1,0.901899,1,0.987421,0.993671,0.974684,0.971519,0.96519,0.993711,0.958861,0.987421,0.993711,1,1,0.955975,0.911392,0.993711,0.893082,0.987342,0.974684,1,0.984177,0.863924,1,0.830189,0.937107,0.886076,1,0.946203,0.949367,0.987421,0.981013,0.990506,0.911392,0.996835,1,0.974684,0.977848,0.993711,0.955975,0.93038,0.987342,0.996835,0.993671,0.971519,0.962264,0.968354,1,0.987342,0.832278,0.990506,0.974684,0.886792,0.962025,0.822785,0.968553]
area_under_roc_curve
0.9662743312634341 [0.917722,0.981013,1,1,0.996835,0.990506,0.974843,0.955696,0.977848,1,0.987342,0.987342,0.987421,0.981013,0.949367,0.892405,0.996835,0.89557,0.943396,0.958861,0.886792,0.949686,0.838608,0.987421,0.968553,0.962025,0.863924,0.968553,0.996835,0.987342,0.949686,1,0.898734,0.984177,0.974843,1,0.949686,0.855346,1,0.990506,0.939873,0.974843,1,0.993711,0.993671,0.855346,1,0.937107,0.984177,0.990506,0.96519,1,0.993711,0.993671,0.993711,0.968354,1,0.996835,0.930818,0.968354,0.993711,0.943396,0.996835,0.937107,0.993671,0.968354,0.873418,1,0.993711,0.958861,0.939873,0.993671,0.987421,0.977848,0.968553,0.990506,0.987342,0.971519,0.977848,0.958861,0.981132,0.974684,0.990506,0.968354,0.937107,0.968553,1,0.990506,0.946203,0.924528,0.943038,1,1,0.927215,0.962025,0.955975,0.962025,0.977848,0.918239,0.987342]
area_under_roc_curve
0.960932151102619 [0.810127,0.974684,1,1,0.996835,0.96519,0.987421,0.984177,0.984177,1,0.981013,0.981013,0.968553,0.927215,0.987342,0.892405,0.993671,0.917722,0.855346,0.911392,0.974843,0.993711,0.984177,1,0.974843,0.952532,0.822785,0.987421,0.993671,0.996835,0.993711,1,0.917722,0.993671,0.993711,1,0.955975,0.880503,1,1,0.981013,1,1,0.993711,1,0.91195,0.993671,0.974843,1,0.993671,0.977848,0.993711,0.981132,0.85443,0.987421,0.927215,1,0.996835,0.955975,0.952532,0.987421,0.974843,0.990506,0.981132,0.993671,0.977848,0.905063,0.987342,1,0.857595,0.85443,0.993671,0.880503,0.962025,0.968553,0.996835,0.996835,0.867089,1,0.958861,0.955975,0.96519,0.990506,0.984177,0.993711,0.974843,1,0.968354,0.977848,0.918239,0.911392,1,0.981132,0.93038,0.990506,0.955975,0.879747,0.977848,0.698113,0.993671]
area_under_roc_curve
0.9613053299896501 [0.920886,0.981132,0.993671,1,0.993711,0.996835,1,0.962025,0.974843,1,0.977848,0.987342,0.943396,0.811321,0.993711,0.832278,0.987342,0.939873,0.930818,0.863924,0.977848,0.971519,1,1,0.936709,0.958861,0.835443,1,0.981132,0.981013,0.962264,1,0.841772,0.981013,0.943396,1,0.93038,0.908228,1,1,0.943038,1,1,0.981132,1,0.767296,1,0.981013,1,0.993671,0.981132,0.962264,0.993671,0.981132,0.990506,0.984177,1,0.971519,0.971519,0.968553,1,0.946203,0.987421,1,0.996835,0.981013,0.886792,1,0.968354,0.958861,0.920886,1,0.981132,0.981132,0.860759,0.981132,0.977848,0.898734,0.996835,0.949686,0.974843,0.987342,0.993671,0.962025,0.855346,0.968553,0.981132,0.987421,0.974684,0.949367,0.867925,0.990506,1,0.91195,0.949367,0.955975,0.958861,1,0.773585,0.917722]
area_under_roc_curve
0.9594267474723347 [0.794304,1,0.990506,1,1,0.968354,0.993711,0.990506,1,0.996835,0.981013,0.977848,0.949686,0.962264,0.981132,0.844937,0.977848,0.908228,0.924528,0.857595,0.968354,0.943038,0.990506,1,0.952532,0.955696,0.81962,0.974843,0.993711,0.993671,0.974843,1,0.911392,0.990506,0.974843,0.996835,0.955696,0.920886,0.993671,1,0.927215,0.990506,1,0.974843,0.993711,0.886792,1,0.949367,0.984177,0.987342,0.981132,0.993711,0.962025,0.943396,0.955696,0.955696,1,1,0.968354,0.987421,0.981013,0.920886,0.987421,1,1,0.952532,0.867925,1,0.984177,0.96519,0.886076,0.993671,0.930818,0.955975,0.958861,0.962264,0.990506,0.800633,1,0.930818,0.968553,1,1,0.958861,0.924528,0.993711,1,0.993711,0.955696,0.946203,0.962264,0.993671,0.993711,0.955975,0.974684,0.993711,0.876582,0.987421,0.792453,0.908228]
area_under_roc_curve
0.9635165392882735 [0.917722,0.968553,1,1,1,0.996835,0.993671,0.971519,0.993711,1,0.993711,1,0.955696,0.987421,1,0.791139,0.981132,0.899371,0.958861,0.85443,0.977848,0.987342,0.990506,0.987342,0.977848,0.855346,0.930818,0.962025,1,1,0.936709,0.993711,0.90566,0.968553,0.987342,1,0.958861,0.927215,0.996835,1,0.968354,0.987342,1,0.987342,0.924528,0.936709,0.990506,0.933544,0.987421,0.987421,0.918239,0.990506,0.968354,0.91195,0.949367,0.946203,1,0.993671,0.96519,0.987421,0.996835,0.879747,0.987421,1,0.987342,0.930818,0.867925,0.993671,0.958861,1,0.937107,1,0.955696,0.943396,0.977848,0.993711,1,0.779874,0.993711,0.974843,0.892405,0.981132,0.990506,0.987342,0.958861,0.987342,1,0.968553,0.962264,0.93038,0.968553,1,0.990506,0.893082,0.974843,0.984177,0.879747,0.949686,0.851266,0.981013]
area_under_roc_curve
0.9649027744606318 [0.949367,0.974843,1,1,1,0.993671,0.987342,0.984177,0.981132,1,0.949686,1,0.958861,0.993711,0.955975,0.879747,0.974843,0.855346,0.933544,0.936709,0.974684,0.977848,0.96519,0.987342,0.977848,0.962264,0.874214,0.987342,0.874214,0.996835,0.962025,1,0.924528,0.987421,0.984177,1,0.952532,0.905063,0.996835,1,0.905063,0.996835,1,0.977848,0.974843,0.876582,1,0.955696,0.987421,0.962264,0.735849,0.971519,0.949367,0.968553,0.987342,0.952532,1,1,0.955696,0.949686,0.996835,0.901899,0.987421,0.993671,0.996835,0.930818,0.811321,1,0.96519,0.993671,0.91195,1,0.946203,0.981132,0.962025,0.987421,1,0.981132,1,0.968553,0.958861,0.981132,0.981013,0.977848,0.955696,0.974684,1,0.974843,0.968553,0.93038,0.974843,1,0.996835,0.968553,0.981132,0.984177,0.933544,0.962264,0.867089,0.927215]
area_under_roc_curve
0.9645766161133666 [0.949686,0.971519,0.987421,1,1,0.981132,0.987342,1,0.987342,1,0.974843,0.993711,0.993671,0.943038,0.981013,0.867925,1,0.91195,0.939873,0.880503,0.987342,0.984177,0.949686,0.984177,0.962025,0.981132,0.874214,0.996835,1,1,0.968354,1,0.930818,0.987421,0.993671,1,0.955696,0.955696,0.993671,1,0.880503,1,1,0.974684,0.990506,0.765823,1,0.971519,0.974843,0.981132,0.920886,0.990506,0.987342,0.870253,0.968354,0.874214,1,0.968553,0.987342,0.977848,0.993671,0.917722,1,0.990506,0.993711,0.981132,0.860759,1,0.981013,0.90566,0.974843,0.993711,0.851266,0.981013,0.968354,0.955696,1,0.949686,0.981132,0.958861,0.971519,0.962264,0.993711,0.981132,0.974684,0.990506,1,0.981013,0.968553,0.920886,0.933544,0.993671,0.993671,0.920886,0.974843,0.933544,0.924528,0.993671,0.857595,0.968553]
area_under_roc_curve
0.9653254617466764 [0.893082,0.946203,1,1,1,1,0.996835,1,0.987342,1,0.981132,0.993711,0.974684,0.96519,0.977848,0.805031,0.993711,0.987421,0.93038,0.874214,0.933544,0.939873,1,0.984177,0.955696,0.987421,0.886792,0.984177,0.981013,0.981132,0.987342,1,0.886792,1,0.981013,0.990506,0.96519,0.952532,1,1,0.981132,0.993671,1,0.987342,0.987342,0.962025,1,0.958861,0.987421,0.987421,0.962025,0.990506,0.968354,0.911392,0.990506,0.962264,1,0.987421,0.968354,0.939873,0.990506,0.949367,0.984177,0.990506,0.981132,0.974843,0.873418,1,1,0.962264,0.880503,1,0.971519,0.958861,0.889241,0.968354,1,0.880503,1,0.981013,0.987342,0.974843,0.962264,0.993711,0.946203,0.993671,0.996835,0.962025,0.987421,0.908228,0.920886,1,0.996835,0.886076,0.993711,0.962025,0.836478,0.958861,0.810127,0.968553]
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
0.16296267159658578
kappa
0.18184321283876803
kappa
0.1752577319587629
kappa
0.19411324912446387
kappa
0.1428346332624281
kappa
0.15567282321899736
kappa
0.2754193904071828
kappa
0.23767522444479444
kappa
0.18778529828427515
kappa
0.2064554221609919
kb_relative_information_score
7.786580043299982
kb_relative_information_score
7.568070467880538
kb_relative_information_score
8.02515937143412
kb_relative_information_score
7.867784058734071
kb_relative_information_score
8.166123838660836
kb_relative_information_score
7.982075586498491
kb_relative_information_score
8.36248294665491
kb_relative_information_score
8.17721675121847
kb_relative_information_score
7.734720819891371
kb_relative_information_score
7.865252744316377
mean_absolute_error
0.019742902586608147
mean_absolute_error
0.019746147760902243
mean_absolute_error
0.019740900658649214
mean_absolute_error
0.01974282556877047
mean_absolute_error
0.019741695566280092
mean_absolute_error
0.019742085184016028
mean_absolute_error
0.019738551159423873
mean_absolute_error
0.019740323511634864
mean_absolute_error
0.019744789019262535
mean_absolute_error
0.019742465327807133
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
0.16875
predictive_accuracy
0.1875
predictive_accuracy
0.18125
predictive_accuracy
0.2
predictive_accuracy
0.15
predictive_accuracy
0.1625
predictive_accuracy
0.28125
predictive_accuracy
0.24375
predictive_accuracy
0.19375
predictive_accuracy
0.2125
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
0.16875 [0,0,0,1,0,1,0,1,0,1,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0,0,1,1,0,1,1,0,0,0,1,0,0,0,0,0,1,0,1,0,1,1,0,0,1,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,0,1,0,0,0,0,0,0,0,1]
recall
0.1875 [0,0,0,1,0.5,1,0,1,0,1,0,0,0,0,0,0,0.5,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0,1,0,0,1,0.5,0,1,1,0,0,0,1,0,0,0,0,0,1,0,1,0,1,1,0,0,1,0,0,0,1,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,0,1,0,0,0,0,0,0,0,0]
recall
0.18125 [0,0,0,1,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0.5,1,1,0,0,1,1,0,0,1,0.5,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0]
recall
0.2 [0,0,0,1,0,0.5,1,0,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0,1,1,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0.5,0,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0]
recall
0.15 [0,1,0,0.5,1,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0.5,1,0,0,1,0,0,0,0]
recall
0.1625 [0,1,0,1,1,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,0.5,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,1,0,1,0,0]
recall
0.28125 [0,1,1,1,1,0,1,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0.5,0,0,0,0,1,0,0,1,0,1,0,1,0,0,1,1,0,0,1,0,1,0,0.5,0,1,1,0,0,0,1,0,0,1,0,0,0,0,0,1,0,0.5,0,0,0.5,0,0,0,1,0,1,0,1,1,0,1,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0]
recall
0.24375 [0,1,1,1,1,0,1,0,1,1,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,1,1,0,0,1,0,1,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0.5,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0]
recall
0.19375 [0,0,1,1,0.5,1,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0,0,0,1,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,1,0,1,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0]
recall
0.2125 [0,0,1,0.5,1,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,1,0,1,0,1,0,0,0,0,1,0,1,0,0,0,1,0,0,0,1,0,1,0,0,0.5,0,0,1,0,1,0,0,0]
relative_absolute_error
0.9971162922529351
relative_absolute_error
0.9972801899445559
relative_absolute_error
0.9970151847802617
relative_absolute_error
0.9971124024631535
relative_absolute_error
0.9970553316303061
relative_absolute_error
0.997075009293737
relative_absolute_error
0.9968965232032242
relative_absolute_error
0.996986035941153
relative_absolute_error
0.9972115666294192
relative_absolute_error
0.997094208475106
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
0.0992206175025018
root_mean_squared_error
0.09923591417513655
root_mean_squared_error
0.09921017207858804
root_mean_squared_error
0.0992199033295315
root_mean_squared_error
0.09921421135290082
root_mean_squared_error
0.09921599298816362
root_mean_squared_error
0.09919868366159806
root_mean_squared_error
0.09920719316186503
root_mean_squared_error
0.09922943620059153
root_mean_squared_error
0.09921798500325942
root_relative_squared_error
0.9972047264338428
root_relative_squared_error
0.9973584637782986
root_relative_squared_error
0.9970997459735453
root_relative_squared_error
0.9971975487254251
root_relative_squared_error
0.997140342207851
root_relative_squared_error
0.9971582483159722
root_relative_squared_error
0.9969842830384215
root_relative_squared_error
0.9970698067339941
root_relative_squared_error
0.997293357684458
root_relative_squared_error
0.9971782688209704
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
451.80665999941994
usercpu_time_millis
459.7485959966434
usercpu_time_millis
442.71669799491065
usercpu_time_millis
450.62035700539127
usercpu_time_millis
447.3963450000156
usercpu_time_millis
449.21457099553663
usercpu_time_millis
448.3429809915833
usercpu_time_millis
457.0059920006315
usercpu_time_millis
440.20163099776255
usercpu_time_millis
450.1842740064603
usercpu_time_millis_testing
2.8436900029191747
usercpu_time_millis_testing
2.797353998175822
usercpu_time_millis_testing
2.6407389959786087
usercpu_time_millis_testing
2.614813005493488
usercpu_time_millis_testing
2.7582870025071315
usercpu_time_millis_testing
2.5875349965645
usercpu_time_millis_testing
2.7473879963508807
usercpu_time_millis_testing
3.2214640013989992
usercpu_time_millis_testing
2.590611999039538
usercpu_time_millis_testing
2.8060610056854784
usercpu_time_millis_training
448.96296999650076
usercpu_time_millis_training
456.9512419984676
usercpu_time_millis_training
440.07595899893204
usercpu_time_millis_training
448.0055439998978
usercpu_time_millis_training
444.63805799750844
usercpu_time_millis_training
446.62703599897213
usercpu_time_millis_training
445.59559299523244
usercpu_time_millis_training
453.7845279992325
usercpu_time_millis_training
437.611018998723
usercpu_time_millis_training
447.37821300077485