5806170
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)
3840921
axis
0
6947
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
"median"
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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"
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sparse
false
6948
threshold
0.0
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C
0.03481012366683752
6953
cache_size
200
6953
class_weight
null
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coef0
0.5461836607171549
6953
decision_function_shape
null
6953
degree
3
6953
gamma
7.0919089480943835
6953
kernel
"sigmoid"
6953
max_iter
-1
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probability
true
6953
random_state
17226
6953
shrinking
true
6953
tol
0.04759089867811488
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
12536519
description
https://api.openml.org/data/download/12536519/description.xml
-1
12536518
predictions
https://api.openml.org/data/download/12536518/predictions.arff
area_under_roc_curve
0.3544341856060607 [0.393939,0.320352,0.311198,0.301491,0.308436,0.312934,0.306384,0.319366,0.313526,0.301215,0.319444,0.330966,0.343277,0.40625,0.352036,0.436395,0.330611,0.354246,0.347775,0.373224,0.329703,0.374211,0.391927,0.316998,0.333688,0.335306,0.391375,0.369121,0.410788,0.331479,0.341856,0.307528,0.367345,0.312618,0.387784,0.304688,0.334517,0.349195,0.316801,0.30883,0.468395,0.411182,0.301531,0.350458,0.307252,0.421283,0.304175,0.343119,0.414457,0.398082,0.402936,0.323035,0.382694,0.363045,0.338778,0.332544,0.301136,0.35389,0.319839,0.379104,0.319681,0.35464,0.311435,0.390941,0.332347,0.399858,0.377604,0.308239,0.377052,0.453046,0.437618,0.305319,0.388573,0.405066,0.390664,0.370265,0.390743,0.4564,0.400608,0.327612,0.366872,0.312658,0.405658,0.317156,0.406171,0.358112,0.306147,0.355666,0.378512,0.373698,0.341777,0.30666,0.312342,0.361427,0.346275,0.335701,0.362926,0.317787,0.397491,0.366911]
average_cost
0
kappa
-0.010101010101010102
kb_relative_information_score
28.089162207724982
mean_absolute_error
0.019794978408325226
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
0.9997463842588479
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.0994941671511901
root_relative_squared_error
0.9999540038466688
total_cost
0
area_under_roc_curve
0.055330984794204285 [0.257862,0.031646,0.003165,0,0.003165,0,0.009494,0.006289,0.006329,0,0.031646,0.044304,0.088608,0.091772,0.018987,0.226415,0.053797,0.063291,0.107595,0.125786,0.09434,0.025157,0.150943,0.018868,0,0.025316,0.117089,0.085443,0.003165,0.018868,0.06962,0.003165,0.113924,0.022152,0.041139,0.012579,0.031447,0.08805,0,0,0.125786,0.018868,0,0.025316,0,0.183544,0.006289,0.025157,0.018987,0.041139,0.085443,0.022152,0.031447,0.155063,0.031447,0.025157,0,0,0.018868,0.075949,0.012579,0.031447,0.006329,0.015823,0.012579,0.028481,0.123418,0,0.006289,0.383648,0.161392,0,0.088608,0.050633,0,0.009494,0.006329,0.186709,0.009494,0.031646,0.14557,0.012658,0.018868,0.031447,0.132911,0.031646,0.009494,0.015823,0.18038,0.106918,0.053797,0.006289,0.003165,0.129747,0.028481,0.03481,0.176101,0.047468,0.123418,0.106918]
area_under_roc_curve
0.05181340060504739 [0.251572,0.006329,0.003165,0,0,0.006289,0.006329,0,0.009494,0,0.025316,0.015823,0.037975,0.278481,0.006329,0.163522,0.044304,0.044304,0.053797,0.132075,0.044025,0.09434,0.18239,0.012579,0.031447,0.056962,0.148734,0.003165,0.025316,0,0.044304,0,0.098101,0.006329,0.028481,0.012579,0.031447,0.100629,0.006289,0,0.138365,0.006289,0,0.050633,0,0.129747,0,0.031447,0.015823,0.028481,0.056962,0.050633,0.012579,0.06962,0.018868,0.006289,0,0,0.044025,0.110759,0.006289,0.132075,0.012658,0.037975,0,0.03481,0.142405,0,0.194969,0.113208,0.155063,0,0.091772,0.053797,0.018868,0.015823,0.031646,0.186709,0.006329,0,0.082278,0.028481,0.006289,0.044025,0.113924,0.015823,0.003165,0.009494,0.075949,0.056604,0.037975,0.006289,0.009494,0.18038,0.018987,0.041139,0.138365,0.041139,0.183544,0.113208]
area_under_roc_curve
0.047236734734495696 [0.120253,0.012658,0,0,0.006329,0.009494,0.044025,0.056962,0.022152,0,0.012658,0.025316,0.012579,0.037975,0.094937,0.136076,0.012658,0.110759,0.056604,0.050633,0.119497,0.075472,0.237342,0.012579,0.044025,0.041139,0.136076,0.075472,0.012658,0.022152,0.08805,0,0.120253,0.012658,0.044025,0,0.050314,0.144654,0.012579,0.009494,0.189873,0.025157,0,0.006289,0.006329,0.201258,0,0.069182,0.025316,0.012658,0.050633,0,0.012579,0.018987,0.006289,0.031646,0,0,0.075472,0.079114,0.018868,0.062893,0.003165,0.075472,0.012658,0.031646,0.132911,0,0.012579,0.072785,0.091772,0.006329,0.025157,0.025316,0.062893,0.009494,0.012658,0.063291,0.031646,0.044304,0.025157,0.025316,0.009494,0.031646,0.113208,0.044025,0,0.028481,0.107595,0.081761,0.082278,0.006289,0,0.075949,0.053797,0.069182,0.056962,0.025316,0.081761,0.101266]
area_under_roc_curve
0.0511556106201736 [0.234177,0.028481,0,0,0.009494,0.037975,0.012579,0.018987,0.022152,0,0.022152,0.031646,0.056604,0.117089,0.031646,0.132911,0.012658,0.082278,0.150943,0.088608,0.025157,0.012579,0.085443,0.006289,0.025157,0.047468,0.183544,0.062893,0.006329,0.018987,0.025157,0,0.094937,0.006329,0.031447,0,0.044025,0.119497,0.006289,0,0.161392,0,0,0.006289,0.003165,0.157233,0.006329,0.025157,0.006329,0.006329,0.025316,0.006289,0.050314,0.183544,0.018868,0.079114,0,0,0.050314,0.031646,0.018868,0.037736,0.006329,0.018868,0.009494,0.025316,0.107595,0.015823,0,0.18038,0.170886,0.003165,0.138365,0.053797,0.050314,0.009494,0.006329,0.167722,0.003165,0.047468,0.113208,0.03481,0.012658,0.015823,0.006289,0.025157,0,0.044304,0.06962,0.081761,0.113924,0,0.018868,0.085443,0.025316,0.075472,0.126582,0.028481,0.308176,0.018987]
area_under_roc_curve
0.05181066395987584 [0.142405,0.018868,0.022152,0,0.018868,0.003165,0,0.044304,0.031447,0,0.025316,0.018987,0.069182,0.245283,0.037736,0.212025,0.015823,0.066456,0.069182,0.142405,0.025316,0.085443,0,0.006329,0.088608,0.041139,0.174051,0,0.018868,0.044304,0.044025,0,0.177215,0.022152,0.062893,0,0.072785,0.094937,0,0,0.224684,0,0,0.044025,0,0.283019,0,0.018987,0,0.006329,0.037736,0.031447,0.012658,0.044025,0.009494,0.015823,0,0.028481,0.028481,0.037736,0,0.075949,0.012579,0,0.009494,0.025316,0.119497,0,0.041139,0.072785,0.132911,0,0.050314,0.018868,0.155063,0.018868,0.022152,0.139241,0.015823,0.056604,0.037736,0.012658,0.006329,0.037975,0.188679,0.044025,0.018868,0.037736,0.044304,0.060127,0.144654,0.009494,0,0.09434,0.079114,0.056604,0.050633,0,0.232704,0.170886]
area_under_roc_curve
0.054873218692779266 [0.322785,0,0.03481,0,0,0.03481,0.006289,0.018987,0,0.003165,0.018987,0.037975,0.081761,0.044025,0.031447,0.202532,0.031646,0.098101,0.075472,0.14557,0.031646,0.101266,0.015823,0.003165,0.066456,0.050633,0.189873,0.062893,0.012579,0.018987,0.037736,0,0.094937,0.009494,0.031447,0.003165,0.053797,0.082278,0.006329,0,0.237342,0.012658,0,0.037736,0.006289,0.157233,0,0.060127,0.025316,0.015823,0.075472,0.012579,0.050633,0.069182,0.044304,0.047468,0,0,0.031646,0.025157,0.022152,0.088608,0.012579,0.006289,0,0.047468,0.144654,0,0.015823,0.072785,0.151899,0.006329,0.08805,0.056604,0.063291,0.044025,0.012658,0.262658,0.006329,0.069182,0.062893,0,0.006329,0.041139,0.157233,0.012579,0,0.025157,0.082278,0.063291,0.050314,0.006329,0.012579,0.044025,0.037975,0.018868,0.136076,0.018868,0.213836,0.161392]
area_under_roc_curve
0.052839642544383426 [0.113924,0.044025,0,0,0,0.003165,0.009494,0.041139,0.006289,0,0.012579,0.018868,0.063291,0.012579,0,0.240506,0.044025,0.106918,0.044304,0.142405,0.022152,0.050633,0.075949,0.022152,0.022152,0.144654,0.081761,0.129747,0,0.015823,0.088608,0.006289,0.113208,0.031447,0.022152,0,0.044304,0.075949,0.003165,0,0.237342,0.006329,0,0.012658,0.075472,0.088608,0.009494,0.079114,0.018868,0.012579,0.106918,0.018987,0.050633,0.125786,0.056962,0.060127,0,0.006329,0.037975,0.012579,0.031646,0.148734,0.012579,0,0.015823,0.09434,0.132075,0.006329,0.044304,0.044304,0.132075,0,0.088608,0.09434,0.044304,0.006289,0,0.264151,0.031447,0.025157,0.158228,0.018868,0.012658,0.015823,0.06962,0.012658,0,0.069182,0.069182,0.082278,0.044025,0,0.015823,0.138365,0.056604,0.022152,0.136076,0.050314,0.155063,0.120253]
area_under_roc_curve
0.05007214791815939 [0.06962,0.031447,0,0,0,0.006329,0.006329,0.018987,0.018868,0,0.050314,0,0.060127,0.006289,0.056604,0.161392,0.025157,0.150943,0.06962,0.075949,0.025316,0.03481,0.164557,0.015823,0.025316,0.037736,0.132075,0.066456,0.144654,0.012658,0.072785,0,0.100629,0.012579,0.022152,0,0.053797,0.094937,0.003165,0,0.202532,0.003165,0,0.025316,0.037736,0.158228,0,0.053797,0.012579,0.050314,0.308176,0.050633,0.066456,0.081761,0.018987,0.047468,0,0,0.044304,0.069182,0.009494,0.136076,0.012579,0.006329,0.006329,0.075472,0.188679,0,0.037975,0.025316,0.132075,0,0.091772,0.025157,0.06962,0.018868,0,0.031447,0,0.031447,0.10443,0.018868,0.015823,0.025316,0.091772,0.03481,0.003165,0.062893,0.100629,0.082278,0.031447,0,0.003165,0.050314,0.031447,0.041139,0.079114,0.037736,0.148734,0.174051]
area_under_roc_curve
0.04721882214791817 [0.069182,0.03481,0.012579,0,0,0.025157,0.012658,0,0.022152,0,0.025157,0.006289,0.022152,0.060127,0.018987,0.176101,0.012579,0.09434,0.060127,0.119497,0.015823,0.028481,0.157233,0.018987,0.047468,0.018868,0.132075,0.044304,0,0.018868,0.063291,0,0.081761,0.012579,0.015823,0,0.047468,0.044304,0.006329,0,0.27044,0,0,0.028481,0.012658,0.227848,0,0.044304,0.025157,0.018868,0.10443,0.018987,0.015823,0.142405,0.050633,0.119497,0,0.050314,0.015823,0.028481,0.022152,0.101266,0.003165,0.009494,0.006289,0.018868,0.148734,0,0.022152,0.125786,0.069182,0.012579,0.164557,0.022152,0.044304,0.047468,0.006289,0.138365,0.025157,0.047468,0.126582,0.037736,0.012579,0.025157,0.03481,0.009494,0,0.037975,0.138365,0.094937,0.072785,0.009494,0.006329,0.091772,0.031447,0.094937,0.106918,0.006329,0.151899,0.106918]
area_under_roc_curve
0.04623761046095058 [0.169811,0.053797,0,0,0,0,0.003165,0.006289,0.018987,0,0.025157,0.006289,0.037975,0.041139,0.028481,0.220126,0.031447,0.025157,0.06962,0.132075,0.072785,0.088608,0.018868,0.018987,0.050633,0.012579,0.138365,0.10443,0.022152,0.044025,0.031646,0,0.157233,0,0.044304,0.009494,0.03481,0.053797,0,0,0.113208,0.006329,0,0.015823,0.015823,0.041139,0,0.044304,0.018868,0.012579,0.053797,0.015823,0.03481,0.101266,0.012658,0.037736,0,0.018868,0.03481,0.063291,0.018987,0.053797,0.015823,0.009494,0.018868,0.037736,0.132911,0,0,0.050314,0.163522,0,0.066456,0.041139,0.132911,0.03481,0.006289,0.194969,0.012579,0.025316,0.101266,0.025157,0.044025,0.006289,0.056962,0.009494,0.003165,0.053797,0.037736,0.120253,0.094937,0,0.006329,0.139241,0.025157,0.053797,0.169811,0.044304,0.202532,0.132075]
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
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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
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kappa
-0.012658227848101266
kb_relative_information_score
2.796680240882781
kb_relative_information_score
2.801504170560614
kb_relative_information_score
2.834673328737947
kb_relative_information_score
2.8442076300927486
kb_relative_information_score
2.8307564745501073
kb_relative_information_score
2.8494087931415795
kb_relative_information_score
2.7873163105113066
kb_relative_information_score
2.78838178994189
kb_relative_information_score
2.7757998435374396
kb_relative_information_score
2.7804336257685316
mean_absolute_error
0.019794928326847688
mean_absolute_error
0.019794825137258054
mean_absolute_error
0.019794904125277984
mean_absolute_error
0.019794813331323463
mean_absolute_error
0.019794998652013403
mean_absolute_error
0.019794842452315654
mean_absolute_error
0.019795251183689362
mean_absolute_error
0.01979515030012257
mean_absolute_error
0.019795019793081615
mean_absolute_error
0.019795050781322286
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
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number_of_instances
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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
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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
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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
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recall
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recall
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relative_absolute_error
0.9997438548912957
relative_absolute_error
0.9997386432958596
relative_absolute_error
0.9997426325897955
relative_absolute_error
0.999738047036537
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.9997601607923903
relative_absolute_error
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relative_absolute_error
0.9997484743980597
relative_absolute_error
0.9997500394607198
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
0.09949306759194186
root_mean_squared_error
0.09949251808846231
root_mean_squared_error
0.09949392439858737
root_mean_squared_error
0.09949345603944636
root_mean_squared_error
0.0994953354581802
root_mean_squared_error
0.09949452715729129
root_mean_squared_error
0.09949575202425208
root_mean_squared_error
0.09949522220551339
root_mean_squared_error
0.09949384361229346
root_mean_squared_error
0.09949402488699831
root_relative_squared_error
0.999942952860423
root_relative_squared_error
0.9999374301426573
root_relative_squared_error
0.9999515640912141
root_relative_squared_error
0.9999468569047356
root_relative_squared_error
0.9999657457737179
root_relative_squared_error
0.9999576220441232
root_relative_squared_error
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root_relative_squared_error
0.9999646075415896
root_relative_squared_error
0.9999507521584108
root_relative_squared_error
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total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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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
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usercpu_time_millis
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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_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_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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