6044333
1
Jan van Rijn
9956
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
4078991
axis
0
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categorical_features
[]
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copy
true
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fill_empty
0
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missing_values
"NaN"
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strategy
"mean"
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strategy_nominal
"most_frequent"
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verbose
0
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categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
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n_values
"auto"
6948
sparse
true
6948
threshold
0.0
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C
6.045222032868876
6953
cache_size
200
6953
class_weight
null
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coef0
-0.784541386531721
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decision_function_shape
null
6953
degree
3
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gamma
0.0001746100303858316
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kernel
"poly"
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max_iter
-1
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probability
true
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random_state
10525
6953
shrinking
true
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tol
0.008164254720177452
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verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
13011801
description
https://api.openml.org/data/download/13011801/description.xml
-1
13011802
predictions
https://api.openml.org/data/download/13011802/predictions.arff
area_under_roc_curve
0.4990425541719395 [0.40021,0.449187,0.486931,0.482194,0.493999,0.504225,0.466756,0.501777,0.49084,0.501579,0.515319,0.487642,0.486063,0.479548,0.521557,0.482983,0.487247,0.517609,0.481917,0.503514,0.51445,0.536797,0.508173,0.532494,0.542877,0.527322,0.508962,0.526019,0.480298,0.495657,0.528506,0.512634,0.544575,0.522702,0.525782,0.533757,0.518557,0.510384,0.524518,0.51678,0.507975,0.443225,0.512081,0.51832,0.532533,0.517254,0.520768,0.529927,0.508647,0.513384,0.502448,0.508726,0.516819,0.492301,0.513108,0.421905,0.45582,0.501461,0.483378,0.471968,0.512595,0.519267,0.50766,0.503751,0.521399,0.504225,0.487484,0.503988,0.498263,0.503316,0.485984,0.490998,0.501935,0.490761,0.484839,0.50766,0.510621,0.508923,0.511371,0.504659,0.516938,0.511134,0.492183,0.508923,0.499882,0.514253,0.523255,0.511608,0.507028,0.433196,0.45811,0.504106,0.50533,0.39253,0.477732,0.50304,0.51141,0.482549,0.444212,0.416575]
average_cost
0
kappa
0.0015789783401928181
kb_relative_information_score
11.346376027987379
mean_absolute_error
0.01979668487376686
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]
predictive_accuracy
0.01125703564727955
prior_entropy
6.6438309601245775
recall
0.01125703564727955 [0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5]
relative_absolute_error
0.999832937414194
root_mean_prior_squared_error
0.09949872432040595
root_mean_squared_error
0.09948409475906166
root_relative_squared_error
0.9998529673476297
total_cost
0
area_under_roc_curve
0.03846703088926044 [0.037975,0.062893,0.220126,0,0.018987,0.170886,0.117089,0.062893,0.009494,0.101266,0,0.06962,0.018987,0,0.25,0,0.031646,0.075472,0,0,0.031447,0.212025,0.018987,0.075949,0.088608,0.006289,0.012579,0.03481,0,0.044025,0.06962,0.003165,0.251572,0.006289,0.056604,0.037975,0.018868,0.006289,0.012658,0.06962,0,0.006289,0.006289,0.018987,0.220126,0,0.110759,0.025157,0.056962,0.053797,0,0,0.031447,0.025316,0.037736,0,0,0.050314,0,0,0,0.018987,0,0,0.031646,0.003165,0.025316,0.031447,0.044025,0.025316,0.03481,0.006329,0.018868,0.031447,0,0.003165,0.015823,0.006329,0.037736,0,0.100629,0.006329,0.009494,0.012658,0.025157,0.003165,0.148734,0.022152,0.06962,0.003165,0.009494,0.072785,0.012579,0,0.018987,0.031646,0.018868,0,0.006329,0]
area_under_roc_curve
0.037794811320754726 [0.063291,0.207547,0.018868,0,0.018987,0.037975,0.044304,0,0.018987,0.082278,0.018868,0.025316,0,0,0.110759,0.003165,0.025316,0.050314,0,0.047468,0.047468,0.06962,0.031646,0.03481,0.161392,0.063291,0.18239,0.012658,0,0,0.06962,0.009494,0.119497,0,0.08805,0.091772,0.044025,0.037736,0.028481,0.063291,0.006329,0.012579,0.037736,0.132911,0.081761,0.006289,0.094937,0.025157,0.012658,0.025316,0,0,0.006289,0.025316,0.006289,0,0.018868,0.09434,0.012579,0,0,0.018987,0,0.012579,0.085443,0.066456,0.031646,0.031447,0.006289,0.075949,0.015823,0.012658,0.018868,0.025157,0.003165,0,0.006329,0.028481,0.018868,0.018868,0.025157,0.091772,0.295597,0.003165,0.006289,0,0.050633,0.063291,0.022152,0,0.044304,0.012658,0.006289,0,0.053797,0.072785,0.006289,0.006289,0.031646,0]
area_under_roc_curve
0.038956890374970174 [0.066456,0.056604,0.022152,0,0.031646,0.069182,0.044304,0.006289,0.025157,0.025316,0.009494,0.08805,0.025316,0,0.060127,0,0.025316,0.053797,0.003165,0,0.028481,0.382911,0.060127,0.062893,0.113208,0.022152,0.006289,0.120253,0,0,0.117089,0,0.060127,0.015823,0.053797,0.069182,0,0.025316,0.037736,0.012579,0.012658,0.006289,0.012579,0.047468,0.088608,0.012658,0.041139,0.006329,0.018987,0.037736,0,0.031646,0.028481,0,0.138365,0.003165,0,0.125786,0.006289,0.018868,0,0,0.006289,0.006289,0.041139,0.003165,0.018987,0.056604,0,0.136076,0,0.094937,0.022152,0.006289,0.003165,0.003165,0.003165,0.012579,0.03481,0.060127,0.037736,0.196203,0,0,0.006289,0.018987,0.151899,0.069182,0.050633,0.012579,0.006289,0.101266,0.009494,0,0.018987,0.025157,0.018868,0.006329,0.012658,0.012579]
area_under_roc_curve
0.048257254597563914 [0.028481,0.119497,0.003165,0,0.025316,0.100629,0.044304,0.075949,0.012579,0.053797,0.022152,0.006289,0.012658,0,0.21519,0.003165,0.031646,0.050633,0,0,0.018987,0.297468,0.028481,0.163522,0.09434,0.009494,0,0.262658,0.003165,0,0.177215,0.006289,0.370253,0,0.009494,0.27673,0.069182,0.03481,0.654088,0.006289,0.003165,0.006289,0.226415,0.072785,0.031646,0.031646,0.018987,0.018987,0,0.018868,0,0.003165,0.003165,0.037975,0.031646,0.003165,0,0.025157,0,0,0,0.044025,0,0.006289,0.053797,0,0.028481,0.031447,0,0.037975,0.018987,0.091772,0.012658,0.006289,0,0.003165,0.053797,0.025157,0.082278,0.009494,0.031447,0.025316,0.025157,0.003165,0.006289,0.015823,0,0.006289,0.041139,0,0,0.075949,0.107595,0,0.050314,0.037736,0.10443,0.006329,0.025316,0]
area_under_roc_curve
0.04133752288830508 [0.044304,0.06962,0.139241,0,0.018868,0.056604,0.018868,0.183544,0.050314,0.207547,0.003165,0.08805,0.062893,0,0.238994,0,0.03481,0.06962,0,0,0.012658,0,0.041139,0.169811,0.232704,0.031646,0.009494,0.025157,0.012658,0,0.081761,0.006289,0.110759,0.006329,0.037975,0,0.044304,0.012658,0.069182,0.213836,0.009494,0,0.075949,0.101266,0.177215,0.075949,0.072785,0.050633,0.012579,0.062893,0.012658,0.006329,0,0.018868,0.066456,0.012658,0,0.025316,0.006329,0,0,0.006289,0,0,0.081761,0.031447,0.009494,0.047468,0.012658,0.056962,0.050314,0.012579,0.006329,0.037975,0.018987,0,0.012579,0,0.009494,0.006329,0.06962,0.018987,0,0.006289,0.006329,0.003165,0.060127,0.081761,0.044304,0,0.025157,0.129747,0.025316,0,0,0.044025,0.129747,0,0.056962,0.006329]
area_under_roc_curve
0.04753851206114164 [0.069182,0.066456,0.117089,0.006289,0.037736,0.138365,0.018868,0.031646,0,0.106918,0.006329,0.012579,0,0.003165,0.106918,0,0.015823,0.075949,0.009494,0,0.03481,0.289308,0.072785,0.09434,0.025157,0.047468,0.012658,0.402516,0,0,0.477987,0,0.234177,0.006329,0.06962,0,0.028481,0.018987,0.044025,0,0,0.006329,0.056962,0.03481,0.205696,0.037975,0.018987,0.139241,0.012579,0.037736,0,0,0.098101,0.018868,0.053797,0.006329,0,0.161392,0,0,0,0,0.006329,0,0.050314,0.006289,0.012658,0.06962,0.047468,0.091772,0.006289,0.031447,0.006329,0.031646,0.003165,0,0.037736,0,0.003165,0.044304,0.46519,0.025157,0.028481,0.012579,0.025316,0,0.018987,0.056604,0.025316,0.006289,0.025157,0.031646,0.031646,0,0.012579,0.056604,0.053797,0.006329,0.006329,0.009494]
area_under_roc_curve
0.04246029376641991 [0.119497,0.079114,0.025316,0,0.018868,0.098101,0.025157,0.012658,0.037975,0.09434,0.139241,0.126582,0.025157,0,0.025157,0,0,0.050633,0,0.003165,0.050633,0.36478,0.201258,0.044304,0.155063,0,0.044304,0.044025,0,0,0.012579,0.003165,0.041139,0,0.022152,0.082278,0.063291,0.031646,0.053797,0.003165,0,0,0.012658,0.081761,0.28481,0.037975,0.018868,0.110759,0.006289,0.037975,0,0,0.015823,0.050314,0.03481,0.012579,0.012658,0.123418,0.006329,0,0,0.009494,0,0.028481,0.069182,0.006289,0.006289,0.06962,0.075949,0.062893,0.037736,0,0.022152,0.117089,0.012579,0,0.012579,0.018987,0.072785,0.009494,0.03481,0,0.158228,0.006289,0.015823,0,0.006289,0.022152,0.069182,0,0.03481,0.169811,0.003165,0,0.031447,0.044304,0,0,0.012579,0.012658]
area_under_roc_curve
0.05516255672319085 [0.226415,0.053797,0.132911,0,0.09434,0.129747,0.09434,0.009494,0.044304,0.163522,0.155063,0.003165,0,0.006289,0.069182,0,0.119497,0.139241,0,0.06962,0.050314,0.477987,0.031447,0.018987,0.240506,0.056604,0.015823,0.251572,0,0,0.006289,0,0.493671,0,0.041139,0.183544,0.037975,0.022152,0.177215,0,0.018868,0.018987,0.056962,0.069182,0.107595,0.022152,0,0.006329,0.031646,0.047468,0,0,0.072785,0.018868,0.022152,0.012579,0.003165,0.060127,0.003165,0,0,0.003165,0,0.003165,0.012579,0.047468,0.006289,0.082278,0.006329,0.213836,0.012579,0,0.022152,0.037975,0,0.006289,0.012579,0.003165,0.259494,0.025316,0.009494,0,0.028481,0.025157,0.037975,0.006289,0.314465,0.028481,0,0.009494,0.018987,0.113208,0.03481,0,0.053797,0.009494,0.012658,0,0,0.012658]
area_under_roc_curve
0.04051727569461032 [0.025157,0.094937,0.012579,0.018987,0.082278,0.066456,0.015823,0.098101,0,0.072785,0.006289,0.003165,0.006329,0.006289,0.186709,0.006329,0.031447,0.069182,0.018868,0,0.062893,0.139241,0.031447,0.053797,0.088608,0,0,0.123418,0,0,0.037975,0.012658,0.025157,0.006289,0.025157,0.018987,0.056962,0.031447,0.012658,0,0.012579,0.003165,0,0.144654,0.08805,0.050314,0.018868,0.132075,0.189873,0.060127,0,0.012579,0,0.031646,0.022152,0.006289,0,0.085443,0,0,0,0,0.003165,0,0.132911,0.003165,0.018868,0.028481,0.009494,0.477987,0.012658,0.031646,0.050314,0.037975,0.012579,0,0.015823,0,0.012579,0.006289,0.246835,0.056604,0.129747,0.003165,0.018987,0,0.006289,0.022152,0.031447,0.003165,0.003165,0.113208,0.044025,0,0.044304,0.022152,0.006329,0.069182,0.006289,0.015823]
area_under_roc_curve
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
1.1009959984173927
kb_relative_information_score
1.0357041427767557
kb_relative_information_score
1.0567327290708415
kb_relative_information_score
1.0359365834273724
kb_relative_information_score
1.1724767513676642
kb_relative_information_score
1.23558251828525
kb_relative_information_score
1.1709312292340173
kb_relative_information_score
1.226435694786044
kb_relative_information_score
1.1447969544000358
kb_relative_information_score
1.166783426222011
mean_absolute_error
0.01979676956651186
mean_absolute_error
0.019796961923138713
mean_absolute_error
0.019796901609479306
mean_absolute_error
0.01979696356990957
mean_absolute_error
0.019796553998454324
mean_absolute_error
0.019796405372814803
mean_absolute_error
0.019796597562447543
mean_absolute_error
0.01979642711472852
mean_absolute_error
0.01979667804836944
mean_absolute_error
0.019796589374947327
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
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.012578616352201257
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
0.0125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
recall
0.012578616352201259 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
relative_absolute_error
0.9998353607212688
relative_absolute_error
0.9998450756879835
relative_absolute_error
0.9998420295480966
relative_absolute_error
0.9998451588581054
relative_absolute_error
0.9998244734618181
relative_absolute_error
0.9998206822481301
relative_absolute_error
0.9998303888168788
relative_absolute_error
0.9998217803270287
relative_absolute_error
0.9998344537714913
relative_absolute_error
0.9998299519400027
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
0.0994847431636782
root_mean_squared_error
0.099485547921592
root_mean_squared_error
0.09948529138012797
root_mean_squared_error
0.09948555122702493
root_mean_squared_error
0.09948385226225111
root_mean_squared_error
0.09948266055171845
root_mean_squared_error
0.09948343565424514
root_mean_squared_error
0.09948273802401869
root_mean_squared_error
0.09948375940377617
root_mean_squared_error
0.09948336337514513
root_relative_squared_error
0.9998576299150466
root_relative_squared_error
0.9998657180229792
root_relative_squared_error
0.9998631396885328
root_relative_squared_error
0.9998657512437749
root_relative_squared_error
0.9998486760336669
root_relative_squared_error
0.9998404141060401
root_relative_squared_error
0.9998482041955589
root_relative_squared_error
0.9998411927335552
root_relative_squared_error
0.9998514580074631
root_relative_squared_error
0.9998474543954831
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
2171.4391739999996
usercpu_time_millis
1984.577154
usercpu_time_millis
2036.3643279999994
usercpu_time_millis
2044.6696610000004
usercpu_time_millis
2039.5203090000002
usercpu_time_millis
2041.610970999999
usercpu_time_millis
2052.444351000002
usercpu_time_millis
2051.666191999999
usercpu_time_millis
2054.0413189999995
usercpu_time_millis
2046.4683329999998
usercpu_time_millis_testing
133.62966600000004
usercpu_time_millis_testing
125.95542600000087
usercpu_time_millis_testing
133.18337900000012
usercpu_time_millis_testing
134.921996000001
usercpu_time_millis_testing
133.50273300000026
usercpu_time_millis_testing
133.76421099999902
usercpu_time_millis_testing
134.35150600000156
usercpu_time_millis_testing
134.4114249999997
usercpu_time_millis_testing
133.66977900000165
usercpu_time_millis_testing
133.32422699999924
usercpu_time_millis_training
2037.8095079999996
usercpu_time_millis_training
1858.6217279999992
usercpu_time_millis_training
1903.1809489999994
usercpu_time_millis_training
1909.7476649999994
usercpu_time_millis_training
1906.017576
usercpu_time_millis_training
1907.84676
usercpu_time_millis_training
1918.0928450000004
usercpu_time_millis_training
1917.2547669999992
usercpu_time_millis_training
1920.3715399999978
usercpu_time_millis_training
1913.1441060000006