5958200
1
Jan van Rijn
9954
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)
3992941
axis
0
6947
categorical_features
[]
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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
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C
0.6112366557777182
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.5660557112976163
6953
decision_function_shape
null
6953
degree
3
6953
gamma
0.5213939455788551
6953
kernel
"sigmoid"
6953
max_iter
-1
6953
probability
true
6953
random_state
23305
6953
shrinking
false
6953
tol
2.7466401228253012e-05
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
12839829
description
https://api.openml.org/data/download/12839829/description.xml
-1
12839830
predictions
https://api.openml.org/data/download/12839830/predictions.arff
area_under_roc_curve
0.3290250157828283 [0.385219,0.316998,0.306108,0.30161,0.302951,0.308673,0.306187,0.313447,0.30958,0.301294,0.315262,0.31321,0.334044,0.346078,0.316446,0.390428,0.320431,0.344026,0.339765,0.365609,0.325402,0.334004,0.354088,0.308396,0.324732,0.327296,0.384549,0.323311,0.314986,0.311711,0.3314,0.30236,0.360953,0.30883,0.323706,0.302044,0.329664,0.3445,0.303346,0.301807,0.379972,0.308239,0.301136,0.316288,0.307607,0.394137,0.302557,0.328007,0.314039,0.312539,0.35389,0.315183,0.319997,0.369003,0.320194,0.329822,0.301176,0.307844,0.320155,0.329822,0.30741,0.351918,0.306779,0.321733,0.306897,0.320944,0.374132,0.302794,0.331795,0.373974,0.374763,0.302517,0.34959,0.33136,0.347854,0.313486,0.308909,0.385811,0.308673,0.32122,0.344934,0.311435,0.309462,0.315183,0.348998,0.316446,0.303267,0.330571,0.341698,0.347301,0.340199,0.303819,0.306621,0.36194,0.332663,0.327809,0.355548,0.319287,0.395991,0.360717]
average_cost
0
kappa
-0.010101010101010102
kb_relative_information_score
59.793755398376696
mean_absolute_error
0.01978584031159856
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
prior_entropy
6.6438561897747395
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]
relative_absolute_error
0.9992848642221476
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09951139973659717
root_relative_squared_error
1.0001271978465567
total_cost
0
area_under_roc_curve
0.05106455497173794 [0.251572,0.031646,0.003165,0,0,0,0.009494,0.006289,0.006329,0,0.031646,0.03481,0.06962,0.094937,0.015823,0.207547,0.060127,0.063291,0.110759,0.125786,0.09434,0.012579,0.157233,0.018868,0,0.025316,0.117089,0.03481,0.006329,0.012579,0.06962,0,0.110759,0.022152,0.047468,0.012579,0.031447,0.08805,0,0.003165,0.056604,0.018868,0,0.025316,0,0.205696,0.006289,0.025157,0.015823,0.053797,0.094937,0.018987,0.025157,0.129747,0.025157,0.018868,0,0,0.012579,0.06962,0.012579,0.031447,0.006329,0.012658,0.012579,0.022152,0.123418,0,0.006289,0.377358,0.14557,0,0.072785,0.047468,0,0.009494,0.006329,0.167722,0.009494,0.031646,0.091772,0.012658,0.018868,0.031447,0.129747,0.031646,0.009494,0.006329,0.139241,0.113208,0.053797,0.006289,0.003165,0.120253,0.022152,0.018987,0.169811,0.047468,0.117089,0.100629]
area_under_roc_curve
0.04845727848101268 [0.226415,0.003165,0.003165,0,0,0.006289,0.006329,0,0.009494,0,0.025316,0.015823,0.028481,0.262658,0.003165,0.144654,0.053797,0.044304,0.053797,0.132075,0.044025,0.09434,0.18239,0.012579,0.031447,0.056962,0.151899,0,0.025316,0,0.031646,0,0.085443,0.006329,0.025316,0.012579,0.037736,0.100629,0.006289,0,0.113208,0.006289,0,0.050633,0,0.158228,0,0.018868,0.015823,0.025316,0.053797,0.047468,0.012579,0.066456,0.018868,0,0,0,0.044025,0.101266,0.006289,0.119497,0.012658,0.037975,0,0.031646,0.136076,0,0.169811,0.100629,0.132911,0,0.075949,0.056962,0.012579,0.015823,0.03481,0.170886,0.006329,0,0.047468,0.025316,0.012579,0.044025,0.10443,0.015823,0.003165,0.009494,0.047468,0.050314,0.03481,0,0.012658,0.18038,0.018987,0.031646,0.125786,0.037975,0.183544,0.113208]
area_under_roc_curve
0.04316659700660778 [0.110759,0.012658,0,0,0.003165,0.009494,0.044025,0.050633,0.022152,0,0.012658,0.015823,0.012579,0.028481,0.066456,0.123418,0.012658,0.110759,0.056604,0.047468,0.113208,0.081761,0.240506,0.012579,0.044025,0.041139,0.139241,0.050314,0.012658,0.022152,0.075472,0,0.113924,0.012658,0.037736,0,0.050314,0.144654,0.006289,0.009494,0.120253,0.025157,0,0.006289,0.006329,0.188679,0,0.069182,0.031646,0.009494,0.047468,0,0.012579,0.009494,0.006289,0.028481,0,0.006329,0.069182,0.050633,0.012579,0.062893,0.003165,0.069182,0.009494,0.044304,0.132911,0,0.012579,0.079114,0.075949,0.006329,0.025157,0.025316,0.062893,0.009494,0.012658,0.037975,0.041139,0.044304,0.025157,0.025316,0.012658,0.031646,0.113208,0.031447,0,0.022152,0.094937,0.08805,0.082278,0,0,0.075949,0.041139,0.056604,0.050633,0.022152,0.081761,0.06962]
area_under_roc_curve
0.04621696122920152 [0.202532,0.025316,0,0,0.009494,0.031646,0.012579,0.015823,0.022152,0,0.018987,0.022152,0.044025,0.088608,0.022152,0.117089,0.012658,0.082278,0.150943,0.088608,0.025157,0.012579,0.072785,0.006289,0.025157,0.047468,0.183544,0.044025,0.006329,0.015823,0.025157,0,0.091772,0.006329,0.012579,0,0.044025,0.119497,0,0,0.056962,0,0,0.006289,0.003165,0.132075,0.006329,0.018868,0.003165,0.006329,0.03481,0.006289,0.037736,0.164557,0.012579,0.075949,0,0.003165,0.044025,0.050633,0.012579,0.031447,0.009494,0.018868,0.009494,0.025316,0.101266,0.015823,0,0.186709,0.161392,0.006329,0.138365,0.047468,0.050314,0.009494,0.006329,0.142405,0,0.050633,0.100629,0.03481,0.009494,0.015823,0.006289,0.018868,0,0.044304,0.047468,0.081761,0.110759,0,0.018868,0.075949,0.018987,0.069182,0.123418,0.025316,0.308176,0.012658]
area_under_roc_curve
0.047183992118461936 [0.110759,0.018868,0.012658,0,0.018868,0.003165,0,0.044304,0.025157,0,0.025316,0.012658,0.062893,0.232704,0.031447,0.186709,0.022152,0.063291,0.069182,0.136076,0.028481,0.066456,0,0.006329,0.085443,0.041139,0.177215,0,0.018868,0.031646,0.037736,0,0.164557,0.018987,0.062893,0,0.072785,0.098101,0,0,0.10443,0.003165,0,0.056604,0,0.327044,0,0.018987,0,0.012658,0.037736,0.025157,0.006329,0.044025,0.009494,0.015823,0,0.031646,0.028481,0.050314,0,0.063291,0.012579,0,0.006329,0.015823,0.113208,0,0.044304,0.079114,0.10443,0,0.031447,0.018868,0.148734,0.018868,0.022152,0.117089,0.015823,0.056604,0.025157,0.012658,0.003165,0.037975,0.188679,0.050314,0.018868,0.037736,0.031646,0.056962,0.132075,0.009494,0,0.08805,0.06962,0.050314,0.044304,0,0.226415,0.158228]
area_under_roc_curve
0.048787417403073026 [0.262658,0,0.028481,0,0,0.028481,0.006289,0.012658,0,0.003165,0.018987,0.025316,0.044025,0.044025,0.031447,0.18038,0.041139,0.098101,0.075472,0.148734,0.03481,0.066456,0.009494,0.003165,0.066456,0.047468,0.189873,0.012579,0.012579,0.018987,0.025157,0,0.091772,0.009494,0.006289,0.003165,0.053797,0.082278,0.006329,0,0.098101,0.012658,0,0.037736,0.006289,0.144654,0,0.053797,0.018987,0.015823,0.08805,0.012579,0.044304,0.075472,0.063291,0.047468,0,0.003165,0.031646,0.031447,0.018987,0.088608,0.012579,0.006289,0,0.053797,0.132075,0,0.015823,0.063291,0.123418,0.006329,0.075472,0.062893,0.050633,0.044025,0.012658,0.237342,0.003165,0.069182,0.050314,0,0,0.041139,0.150943,0.012579,0.006289,0.031447,0.060127,0.056962,0.044025,0.006329,0.012579,0.044025,0.037975,0.018868,0.129747,0.012579,0.213836,0.148734]
area_under_roc_curve
0.04746636414298226 [0.101266,0.037736,0,0,0,0.003165,0.006329,0.028481,0.006289,0,0.006289,0,0.053797,0.012579,0,0.231013,0.044025,0.106918,0.047468,0.14557,0.022152,0.025316,0.03481,0.015823,0.022152,0.144654,0.075472,0.110759,0,0.003165,0.088608,0.006289,0.106918,0.031447,0.022152,0,0.041139,0.075949,0.003165,0,0.155063,0.012658,0,0.012658,0.075472,0.088608,0.009494,0.079114,0.012579,0.012579,0.106918,0.015823,0.041139,0.119497,0.063291,0.060127,0,0.006329,0.03481,0.012579,0.022152,0.139241,0.012579,0,0.012658,0.075472,0.132075,0.009494,0.044304,0.044304,0.113208,0,0.075949,0.100629,0.044304,0.006289,0,0.257862,0.031447,0.025157,0.142405,0.018868,0.009494,0.012658,0.060127,0.012658,0,0.044025,0.050314,0.075949,0.037736,0,0.009494,0.138365,0.037736,0.018987,0.132911,0.050314,0.158228,0.085443]
area_under_roc_curve
0.04513424488496142 [0.060127,0.031447,0,0,0,0.006329,0.006329,0.015823,0.018868,0,0.050314,0,0.047468,0.006289,0.056604,0.151899,0.025157,0.150943,0.06962,0.079114,0.028481,0.028481,0.148734,0.012658,0.025316,0.037736,0.132075,0.031646,0.119497,0.009494,0.066456,0,0.09434,0.012579,0.022152,0,0.056962,0.094937,0.003165,0,0.136076,0.003165,0,0.031646,0.037736,0.158228,0,0.047468,0.012579,0.050314,0.295597,0.044304,0.063291,0.075472,0.022152,0.047468,0,0,0.044304,0.056604,0.003165,0.120253,0.012579,0.006329,0.003165,0.062893,0.188679,0,0.041139,0.025316,0.119497,0,0.085443,0.018868,0.050633,0.012579,0,0.018868,0,0.031447,0.075949,0.018868,0.018987,0.022152,0.079114,0.028481,0,0.037736,0.075472,0.079114,0.037736,0,0.003165,0.044025,0.025157,0.028481,0.072785,0.037736,0.148734,0.151899]
area_under_roc_curve
0.04492974285486826 [0.044025,0.03481,0.012579,0,0,0.018868,0.012658,0,0.018987,0,0.025157,0.006289,0.009494,0.056962,0.018987,0.144654,0.018868,0.09434,0.060127,0.119497,0.015823,0.018987,0.138365,0.015823,0.047468,0.025157,0.132075,0.012658,0,0.018868,0.050633,0,0.075472,0.012579,0.006329,0,0.047468,0.041139,0.006329,0,0.27673,0,0,0.025316,0.012658,0.28481,0,0.03481,0.025157,0.018868,0.085443,0.015823,0.018987,0.151899,0.056962,0.119497,0,0.056604,0.015823,0.025316,0.009494,0.091772,0.003165,0.009494,0.006289,0.018868,0.14557,0,0.022152,0.119497,0.062893,0.006289,0.158228,0.022152,0.041139,0.047468,0.006289,0.125786,0.018868,0.047468,0.094937,0.037736,0.012579,0.018868,0.044304,0.015823,0,0.037975,0.138365,0.094937,0.072785,0.006329,0.006329,0.088608,0.025157,0.088608,0.08805,0.006329,0.148734,0.106918]
area_under_roc_curve
0.04213040363028423 [0.100629,0.053797,0,0,0,0,0.006329,0,0.015823,0,0.025157,0,0.03481,0.03481,0.022152,0.194969,0.037736,0.025157,0.06962,0.132075,0.06962,0.066456,0.012579,0.015823,0.050633,0.012579,0.132075,0.072785,0.018987,0.044025,0.031646,0,0.138365,0,0.028481,0.006329,0.03481,0.050633,0,0,0.100629,0.006329,0,0.012658,0.012658,0.053797,0,0.041139,0.012579,0.012579,0.053797,0.009494,0.041139,0.091772,0.012658,0.037736,0,0.031447,0.03481,0.056962,0.012658,0.050633,0.015823,0.009494,0.018868,0.037736,0.129747,0,0,0.056604,0.150943,0,0.044304,0.041139,0.132911,0.03481,0.012579,0.194969,0.012579,0.022152,0.050633,0.025157,0.037736,0.006289,0.056962,0.006329,0.003165,0.050633,0.037736,0.113924,0.088608,0,0.003165,0.126582,0,0.047468,0.163522,0.044304,0.202532,0.138365]
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
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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
-0.012658227848101266
kappa
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kappa
-0.012658227848101266
kappa
-0.012658227848101266
kb_relative_information_score
5.885573289700786
kb_relative_information_score
5.8865261195621645
kb_relative_information_score
6.056496009824616
kb_relative_information_score
6.094310323733746
kb_relative_information_score
6.141005343585423
kb_relative_information_score
6.179605964608197
kb_relative_information_score
5.915651329839409
kb_relative_information_score
5.938420309575617
kb_relative_information_score
5.838599824286473
kb_relative_information_score
5.857566883660212
mean_absolute_error
0.01978614440916361
mean_absolute_error
0.019785978953451532
mean_absolute_error
0.019785517014846345
mean_absolute_error
0.019785294662280222
mean_absolute_error
0.019785367342413415
mean_absolute_error
0.019785084496257835
mean_absolute_error
0.01978630843555603
mean_absolute_error
0.01978608488570181
mean_absolute_error
0.019786309062364418
mean_absolute_error
0.0197863138539503
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
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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]
relative_absolute_error
0.9993002226850293
relative_absolute_error
0.9992918663359344
relative_absolute_error
0.9992685361033492
relative_absolute_error
0.9992573061757671
relative_absolute_error
0.9992609768895647
relative_absolute_error
0.999246691730192
relative_absolute_error
0.9993085068462625
relative_absolute_error
0.9992972164495846
relative_absolute_error
0.9993085385032517
relative_absolute_error
0.9993087805025387
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
0.09950858012235447
root_mean_squared_error
0.0995074887269202
root_mean_squared_error
0.09951258887249563
root_mean_squared_error
0.09951148088446664
root_mean_squared_error
0.09951480060135974
root_mean_squared_error
0.09951345192247296
root_mean_squared_error
0.09951412967361156
root_mean_squared_error
0.09951292622703226
root_mean_squared_error
0.09950920557117086
root_mean_squared_error
0.099509344466305
root_relative_squared_error
1.0000988596571734
root_relative_squared_error
1.0000878907203448
root_relative_squared_error
1.0001391491120113
root_relative_squared_error
1.0001280134133312
root_relative_squared_error
1.0001613778234666
root_relative_squared_error
1.000147823090648
root_relative_squared_error
1.0001546347458843
root_relative_squared_error
1.0001425396526757
root_relative_squared_error
1.000105145654293
root_relative_squared_error
1.000106541602915
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
2422.1506059999997
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
146.80184799999995
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
145.77279599999926
usercpu_time_millis_testing
146.07359299999877
usercpu_time_millis_testing
143.34089799999816
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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