6141700
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)
4175039
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
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
true
6948
threshold
0.0
6949
C
2.9034609435146868
6953
cache_size
200
6953
class_weight
null
6953
coef0
-0.2894898315122907
6953
decision_function_shape
null
6953
degree
3
6953
gamma
0.14774974465376842
6953
kernel
"sigmoid"
6953
max_iter
-1
6953
probability
true
6953
random_state
49526
6953
shrinking
true
6953
tol
0.0005671855540305857
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
13214291
description
https://api.openml.org/data/download/13214291/description.xml
-1
13214294
predictions
https://api.openml.org/data/download/13214294/predictions.arff
area_under_roc_curve
0.3357654671717172 [0.38735,0.321496,0.312618,0.301965,0.308594,0.311435,0.306463,0.314354,0.312382,0.64098,0.316012,0.318734,0.336332,0.373777,0.32848,0.396741,0.321733,0.347814,0.341659,0.363873,0.326468,0.35322,0.365254,0.3125,0.325205,0.328401,0.382655,0.34008,0.340593,0.316367,0.335543,0.302241,0.361585,0.238045,0.346354,0.052281,0.328598,0.342487,0.306187,0.302399,0.427083,0.347498,0.301136,0.320825,0.30599,0.388494,0.302912,0.332347,0.360361,0.329309,0.359612,0.315104,0.337437,0.352549,0.321181,0.329506,0.256353,0.317827,0.320036,0.341264,0.309935,0.351562,0.308554,0.336174,0.307371,0.352865,0.374803,0.303504,0.344736,0.424045,0.383957,0.302754,0.36194,0.343789,0.36044,0.328993,0.326981,0.410314,0.325994,0.32197,0.35393,0.312027,0.338187,0.314354,0.371804,0.320312,0.303149,0.331321,0.351168,0.3561,0.341027,0.303741,0.306266,0.35756,0.341461,0.325718,0.357047,0.318103,0.395873,0.360638]
average_cost
0
kappa
-0.007575757575757576
kb_relative_information_score
18.92659674664914
mean_absolute_error
0.019802790512657792
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
0.0025
prior_entropy
6.6438561897747395
recall
0.0025 [0,0,0,0,0,0,0,0,0,0.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
1.0001409349827148
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09953402381054616
root_relative_squared_error
1.0003545783450962
total_cost
0
area_under_roc_curve
0.060533844837194484 [0.283019,0.031646,0.003165,0,0,0,0.009494,0.006289,0.006329,1,0.031646,0.041139,0.075949,0.085443,0.015823,0.201258,0.053797,0.063291,0.107595,0.119497,0.100629,0.012579,0.106918,0.012579,0,0.025316,0.117089,0.066456,0.003165,0.012579,0.072785,0,0.113924,0.022152,0.041139,0.754717,0.031447,0.08805,0,0.003165,0.100629,0.018868,0,0.012658,0,0.164557,0.006289,0.025157,0.015823,0.037975,0.082278,0.015823,0.025157,0.129747,0.025157,0.025157,0,0,0.012579,0.075949,0.012579,0.031447,0.006329,0.009494,0.006289,0.025316,0.123418,0,0.006289,0.295597,0.155063,0,0.079114,0.047468,0,0.009494,0.006329,0.170886,0,0.031646,0.113924,0.012658,0.018868,0.031447,0.120253,0.031646,0.009494,0.006329,0.139241,0.106918,0.053797,0.006289,0.003165,0.110759,0.012658,0.018987,0.169811,0.047468,0.120253,0.050314]
area_under_roc_curve
0.05835970464135023 [0.238994,0.003165,0.003165,0,0,0.012579,0.006329,0,0.009494,1,0.025316,0.015823,0.031646,0.259494,0.003165,0.144654,0.053797,0.044304,0.053797,0.125786,0.044025,0.075472,0.176101,0.012579,0.025157,0.056962,0.151899,0.003165,0.022152,0,0.037975,0,0.088608,0.006329,0.025316,0.704403,0.037736,0.100629,0.006289,0,0.132075,0.006289,0,0.044304,0,0.117089,0,0.018868,0.009494,0.025316,0.056962,0.047468,0.012579,0.056962,0.018868,0,0,0,0.044025,0.107595,0.006289,0.119497,0.012658,0.031646,0,0.031646,0.136076,0,0.163522,0.106918,0.142405,0,0.079114,0.050633,0.012579,0.018987,0.018987,0.183544,0.006329,0,0.060127,0.028481,0.012579,0.044025,0.10443,0.012658,0.003165,0.009494,0.050633,0.050314,0.03481,0.006289,0.012658,0.174051,0.012658,0.031646,0.119497,0.037975,0.183544,0.08805]
area_under_roc_curve
0.04281481370909962 [0.107595,0.015823,0.003165,0,0.003165,0.009494,0.031447,0.050633,0.022152,0.003165,0.012658,0.015823,0.012579,0.031646,0.079114,0.129747,0.012658,0.110759,0.062893,0.047468,0.113208,0.050314,0.231013,0.012579,0.031447,0.041139,0.136076,0.056604,0.006329,0.022152,0.062893,0,0.113924,0.012658,0.044025,0.081761,0.050314,0.144654,0.006289,0.006329,0.167722,0.025157,0,0.006289,0.006329,0.132075,0,0.069182,0.018987,0.009494,0.047468,0,0.006289,0.006329,0.012579,0.031646,0,0.003165,0.075472,0.060127,0.006289,0.062893,0.003165,0.062893,0.006329,0.031646,0.126582,0,0.012579,0.063291,0.088608,0.006329,0.012579,0.025316,0.044025,0.009494,0.012658,0.050633,0.028481,0.044304,0.025157,0.025316,0.006329,0.031646,0.081761,0.031447,0,0.022152,0.098101,0.081761,0.082278,0,0,0.075949,0.041139,0.050314,0.050633,0.022152,0.081761,0.075949]
area_under_roc_curve
0.0577223151023008 [0.208861,0.025316,0,0,0.009494,0.031646,0.012579,0.015823,0.022152,0.822785,0.018987,0.022152,0.050314,0.098101,0.025316,0.123418,0.012658,0.082278,0.150943,0.091772,0.025157,0.012579,0.072785,0.006289,0.025157,0.047468,0.183544,0.062893,0.006329,0.015823,0.025157,0,0.094937,0.006329,0.031447,0.157233,0.044025,0.119497,0,0,0.098101,0,0,0.006289,0.003165,0.08805,0.006329,0.025157,0.003165,0.006329,0.025316,0.006289,0.012579,0.177215,0.012579,0.075949,0,0.003165,0.037736,0.031646,0.018868,0.031447,0.009494,0.025157,0.009494,0.025316,0.101266,0.012658,0,0.170886,0.155063,0.006329,0.132075,0.044304,0.044025,0.009494,0.006329,0.14557,0,0.053797,0.106918,0.03481,0.009494,0.015823,0.006289,0.025157,0,0.037975,0.047468,0.08805,0.107595,0,0.018868,0.075949,0.018987,0.062893,0.123418,0.025316,0.308176,0.012658]
area_under_roc_curve
0.06020644256030576 [0.136076,0.018868,0.012658,0,0.018868,0.003165,0,0.044304,0.025157,1,0.025316,0.015823,0.056604,0.201258,0.012579,0.205696,0.015823,0.063291,0.069182,0.132911,0.025316,0.079114,0,0.006329,0.085443,0.041139,0.174051,0,0.018868,0.031646,0.037736,0,0.164557,0.018987,0.062893,0,0.072785,0.098101,0,0,0.196203,0,0,0.018868,0,0.27044,0,0.018987,0,0.006329,0.031447,0.037736,0.006329,0.012579,0.009494,0.015823,0,0.025316,0.028481,0.044025,0,0.063291,0.012579,0,0.006329,0.022152,0.119497,0,0.041139,0.066456,0.120253,0,0.031447,0.018868,0.151899,0.018868,0.022152,0.129747,0.012658,0.056604,0.037736,0.012658,0.006329,0.037975,0.157233,0.031447,0.018868,0.031447,0.03481,0.056962,0.132075,0.009494,0,0.09434,0.06962,0.050314,0.041139,0,0.232704,0.161392]
area_under_roc_curve
0.06224325292572245 [0.297468,0,0.031646,0,0,0.028481,0.006289,0.012658,0,0.939873,0.018987,0.025316,0.056604,0.037736,0.025157,0.189873,0.031646,0.098101,0.08805,0.14557,0.031646,0.094937,0.009494,0.003165,0.066456,0.047468,0.189873,0.056604,0.006289,0.018987,0.025157,0,0.091772,0.009494,0.031447,0.003165,0.053797,0.082278,0.006329,0,0.212025,0.012658,0,0.025157,0.006289,0.144654,0,0.056962,0.018987,0.012658,0.018868,0.006289,0.047468,0.056604,0.047468,0.047468,0,0.003165,0.031646,0.031447,0.018987,0.088608,0.012579,0.006289,0,0.047468,0.132075,0,0.015823,0.063291,0.142405,0.006329,0.075472,0.037736,0.060127,0.037736,0.012658,0.253165,0.003165,0.069182,0.044025,0,0.003165,0.041139,0.106918,0.006289,0,0.012579,0.072785,0.056962,0.044025,0.006329,0.006289,0.044025,0.037975,0.012579,0.129747,0.018868,0.201258,0.155063]
area_under_roc_curve
0.04798309250855825 [0.098101,0.044025,0,0,0,0.003165,0.006329,0.031646,0.006289,0,0.012579,0,0.056962,0.012579,0,0.227848,0.037736,0.100629,0.047468,0.14557,0.022152,0.031646,0.041139,0.018987,0.022152,0.144654,0.081761,0.117089,0,0.009494,0.088608,0.006289,0.106918,0.031447,0.022152,0,0.044304,0.075949,0.003165,0,0.227848,0,0,0.012658,0.075472,0.06962,0.009494,0.079114,0.012579,0.012579,0.09434,0.012658,0.03481,0.075472,0.060127,0.060127,0,0.006329,0.03481,0.012579,0.025316,0.142405,0.012579,0,0.012658,0.08805,0.132075,0.006329,0.044304,0.03481,0.113208,0,0.075949,0.081761,0.044304,0.012579,0,0.257862,0.025157,0.025157,0.148734,0.018868,0.012658,0.015823,0.063291,0.012658,0,0.031447,0.050314,0.075949,0.044025,0,0.012658,0.144654,0.031447,0.018987,0.132911,0.050314,0.158228,0.085443]
area_under_roc_curve
0.04861699904466209 [0.060127,0.031447,0,0,0,0.006329,0.006329,0.015823,0.018868,0.240506,0.050314,0,0.053797,0.006289,0.056604,0.155063,0.025157,0.150943,0.06962,0.079114,0.028481,0.028481,0.158228,0.012658,0.025316,0.044025,0.132075,0.056962,0.125786,0.012658,0.06962,0,0.08805,0.012579,0.018987,0,0.056962,0.094937,0.003165,0,0.18038,0.003165,0,0.022152,0.018868,0.136076,0,0.050633,0.012579,0.037736,0.27673,0.037975,0.063291,0.044025,0.018987,0.047468,0,0,0.044304,0.062893,0.009494,0.123418,0.012579,0.006329,0.003165,0.075472,0.188679,0,0.037975,0.022152,0.119497,0,0.085443,0.018868,0.044304,0.012579,0,0.031447,0,0.037736,0.091772,0.018868,0.012658,0.022152,0.06962,0.03481,0,0.025157,0.075472,0.079114,0.037736,0,0.003165,0.044025,0.025157,0.028481,0.072785,0.044025,0.148734,0.155063]
area_under_roc_curve
0.049088199586020245 [0.037736,0.03481,0.012579,0,0,0.025157,0.012658,0,0.018987,1,0.025157,0.006289,0.015823,0.056962,0.018987,0.138365,0.006289,0.09434,0.060127,0.119497,0.015823,0.018987,0.119497,0.015823,0.047468,0.018868,0.132075,0.028481,0.003165,0.012579,0.063291,0,0.075472,0.012579,0.012658,0,0.047468,0.041139,0.006329,0,0.264151,0,0,0.031646,0.012658,0.224684,0,0.031646,0.025157,0.018868,0.075949,0.009494,0.009494,0.126582,0.050633,0.125786,0,0.044025,0.012658,0.028481,0.012658,0.094937,0.003165,0.009494,0.006289,0.018868,0.14557,0,0.018987,0.119497,0.050314,0.006289,0.158228,0.022152,0.031646,0.044304,0.006289,0.119497,0.018868,0.047468,0.110759,0.037736,0.012579,0.018868,0.028481,0.009494,0,0.022152,0.113208,0.088608,0.072785,0.009494,0.006329,0.091772,0.025157,0.085443,0.081761,0.006329,0.148734,0.100629]
area_under_roc_curve
0.048342836955656415 [0.106918,0.053797,0,0,0,0,0.006329,0,0.018987,1,0.025157,0.006289,0.031646,0.03481,0.022152,0.201258,0.025157,0.025157,0.06962,0.125786,0.075949,0.066456,0.006289,0.015823,0.050633,0.012579,0.125786,0.091772,0.015823,0.044025,0.031646,0,0.132075,0,0.037975,0.006329,0.03481,0.050633,0,0,0.100629,0.006329,0,0.015823,0.012658,0.041139,0,0.041139,0.012579,0.012579,0.050633,0.009494,0.031646,0.088608,0.015823,0.037736,0,0.018868,0.03481,0.060127,0.012658,0.050633,0.015823,0.012658,0.018868,0.037736,0.129747,0,0,0.056604,0.150943,0,0.044304,0.041139,0.120253,0.031646,0.012579,0.188679,0.006289,0.025316,0.072785,0.025157,0.037736,0.006289,0.056962,0.012658,0.003165,0.047468,0.031447,0.110759,0.088608,0,0.006329,0.123418,0,0.044304,0.169811,0.044304,0.202532,0.132075]
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
-0.006289308176100628
kappa
-0.006289308176100628
kappa
-0.012658227848101266
kappa
-0.012658227848101266
kappa
-0.012658227848101266
kappa
-0.012658227848101266
kappa
-0.012658227848101266
kappa
-0.012658227848101266
kappa
-0.006289308176100628
kappa
-0.006289308176100628
kb_relative_information_score
1.887573563002782
kb_relative_information_score
1.8997381334770236
kb_relative_information_score
1.8712732515764938
kb_relative_information_score
1.8994544126939374
kb_relative_information_score
1.9438944580584354
kb_relative_information_score
1.981349760604122
kb_relative_information_score
1.8312039071407733
kb_relative_information_score
1.8327283749933496
kb_relative_information_score
1.8901546602415016
kb_relative_information_score
1.8892262248607643
mean_absolute_error
0.01980241513331855
mean_absolute_error
0.01980212115214848
mean_absolute_error
0.019802779288304352
mean_absolute_error
0.019802474895398887
mean_absolute_error
0.019803080112478187
mean_absolute_error
0.019802704415822235
mean_absolute_error
0.019803727900330127
mean_absolute_error
0.019803407469050335
mean_absolute_error
0.01980257074373418
mean_absolute_error
0.019802624015992656
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
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0.00625
predictive_accuracy
0.00625
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
0.00625 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.00625 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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
0.00625 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.00625 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
1.0001219764302283
relative_absolute_error
1.0001071288963863
relative_absolute_error
1.0001403680961778
relative_absolute_error
1.0001249947171138
relative_absolute_error
1.0001555612362703
relative_absolute_error
1.0001365866576868
relative_absolute_error
1.0001882777944493
relative_absolute_error
1.00017209439648
relative_absolute_error
1.0001298355421286
relative_absolute_error
1.0001325260602334
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
0.09953006936475903
root_mean_squared_error
0.09952847710310028
root_mean_squared_error
0.09953427129924852
root_mean_squared_error
0.09953274573422041
root_mean_squared_error
0.09953838580239315
root_mean_squared_error
0.09953633658734715
root_mean_squared_error
0.09953908118678437
root_mean_squared_error
0.09953737785993894
root_mean_squared_error
0.09953159847831278
root_mean_squared_error
0.09953189408795922
root_relative_squared_error
1.0003148346695518
root_relative_squared_error
1.0002988318377635
root_relative_squared_error
1.0003570657001437
root_relative_squared_error
1.0003417331947149
root_relative_squared_error
1.000398418012657
root_relative_squared_error
1.000377822626529
root_relative_squared_error
1.0004054068887502
root_relative_squared_error
1.0003882878098365
root_relative_squared_error
1.0003302028390053
root_relative_squared_error
1.0003331738277377
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
2816.234295000072
usercpu_time_millis
2614.5456919999788
usercpu_time_millis
2623.4186110000337
usercpu_time_millis
2665.761677999967
usercpu_time_millis
2866.6798699999845
usercpu_time_millis
2630.9642339999755
usercpu_time_millis
2638.070233999997
usercpu_time_millis
2825.23221200006
usercpu_time_millis
3021.993885000029
usercpu_time_millis
2652.994341000067
usercpu_time_millis_testing
164.45106800006215
usercpu_time_millis_testing
158.89142699995773
usercpu_time_millis_testing
152.05867199995282
usercpu_time_millis_testing
154.2289770000025
usercpu_time_millis_testing
166.14695099997334
usercpu_time_millis_testing
161.42475599997397
usercpu_time_millis_testing
154.5667789999925
usercpu_time_millis_testing
206.99837000006482
usercpu_time_millis_testing
155.2081370000451
usercpu_time_millis_testing
156.46592600000986
usercpu_time_millis_training
2651.78322700001
usercpu_time_millis_training
2455.654265000021
usercpu_time_millis_training
2471.359939000081
usercpu_time_millis_training
2511.5327009999646
usercpu_time_millis_training
2700.532919000011
usercpu_time_millis_training
2469.5394780000015
usercpu_time_millis_training
2483.5034550000046
usercpu_time_millis_training
2618.233841999995
usercpu_time_millis_training
2866.785747999984
usercpu_time_millis_training
2496.528415000057