8830280
1
Jan van Rijn
9954
Supervised Classification
7707
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
6805330
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
"median"
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strategy_nominal
"most_frequent"
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verbose
0
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categorical_features
[]
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
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threshold
0.0
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copy
true
7663
with_mean
false
7663
with_std
true
7663
C
0.0496980758296174
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cache_size
200
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class_weight
null
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coef0
-0.8210848551430439
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decision_function_shape
null
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degree
3
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gamma
3.101225885690763e-05
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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
21027
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shrinking
false
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tol
0.0005566482770725655
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verbose
false
7708
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
18576344
description
https://api.openml.org/data/download/18576344/description.xml
-1
18576345
predictions
https://api.openml.org/data/download/18576345/predictions.arff
area_under_roc_curve
0.41519570707070697 [0.373422,0.328677,0.322404,0.302399,0.332781,0.322996,0.320628,0.324771,0.331203,0.306384,0.384233,0.408065,0.408973,0.482599,0.328401,0.484493,0.403646,0.433594,0.435922,0.493134,0.426926,0.458294,0.469105,0.399582,0.458886,0.43967,0.44693,0.406408,0.478378,0.458333,0.371488,0.438447,0.477312,0.395557,0.461569,0.430832,0.445904,0.45857,0.392164,0.404632,0.495147,0.476681,0.397096,0.431463,0.307726,0.44839,0.314631,0.396267,0.476365,0.47163,0.483665,0.37575,0.450126,0.347893,0.405342,0.434186,0.303741,0.452296,0.450481,0.476562,0.395241,0.4811,0.405224,0.428504,0.427123,0.448982,0.449653,0.395399,0.447877,0.481692,0.492345,0.387547,0.482402,0.424874,0.461293,0.464291,0.47676,0.504616,0.470013,0.429332,0.432173,0.401397,0.452809,0.454901,0.437895,0.43095,0.357836,0.422664,0.473248,0.425545,0.377407,0.308041,0.351168,0.395833,0.419665,0.362176,0.371133,0.318932,0.407749,0.320628]
average_cost
0
kappa
-0.007575757575757576
kb_relative_information_score
11.477697850532497
mean_absolute_error
0.019796750853368607
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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.25]
relative_absolute_error
0.9998359016852814
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09948416569205097
root_relative_squared_error
0.9998534854002428
total_cost
0
area_under_roc_curve
0.033799309370273097 [0.245283,0.031646,0,0,0.003165,0,0.003165,0.012579,0.006329,0,0.028481,0.044304,0.088608,0.053797,0,0.232704,0,0.025316,0.050633,0.144654,0.075472,0.006289,0.012579,0.006289,0.012579,0.028481,0.060127,0,0.003165,0.018868,0,0,0.098101,0.012658,0.028481,0.006289,0,0.044025,0,0,0.113208,0.012579,0,0.012658,0,0.132911,0.018868,0.006289,0.009494,0.041139,0.056962,0.006329,0.012579,0.028481,0.012579,0.012579,0,0,0.031447,0.053797,0.006289,0.031447,0.015823,0.012658,0.006289,0.025316,0.091772,0,0,0.144654,0.120253,0,0.012658,0.025316,0.006289,0.003165,0.003165,0.189873,0,0.009494,0.006329,0.003165,0.012579,0.031447,0.06962,0.025316,0.003165,0.003165,0.120253,0.081761,0.037975,0,0,0.06962,0.025316,0.025316,0.157233,0.025316,0.094937,0.037736]
area_under_roc_curve
0.033565699386991506 [0.226415,0.006329,0,0,0,0,0,0.012579,0.003165,0,0.022152,0.012658,0.044304,0.177215,0,0.144654,0,0.031646,0.022152,0.100629,0.006289,0.081761,0.056604,0,0.006289,0.047468,0.110759,0,0.015823,0,0,0,0.094937,0.003165,0.063291,0.006289,0.031447,0.069182,0.006289,0,0.169811,0.012579,0,0.031646,0,0.060127,0,0.006289,0.009494,0.018987,0.03481,0.037975,0.006289,0.018987,0,0.018868,0,0,0.044025,0.085443,0.006289,0.106918,0.006329,0.009494,0,0.018987,0.094937,0,0.050314,0.037736,0.075949,0,0.022152,0.018987,0.025157,0.003165,0.006329,0.167722,0.006329,0,0.028481,0.018987,0.006289,0.044025,0.047468,0.006329,0,0.006329,0.060127,0.025157,0.037975,0,0.006329,0.14557,0.022152,0.028481,0.132075,0.031646,0.132911,0.018868]
area_under_roc_curve
0.02859197118063851 [0.066456,0.006329,0.006329,0.006289,0.006329,0.006329,0.056604,0.047468,0.012658,0,0.012658,0.022152,0.037736,0.006329,0.018987,0.101266,0,0.094937,0.018868,0.037975,0.050314,0.138365,0.06962,0.006289,0.006289,0.031646,0.091772,0.025157,0.006329,0.003165,0,0,0.110759,0.018987,0.037736,0,0.044025,0.062893,0.018868,0.003165,0.088608,0.025157,0,0.006289,0.009494,0.069182,0,0.050314,0.009494,0.006329,0.018987,0,0.006289,0.015823,0,0.018987,0,0.003165,0.075472,0.050633,0.012579,0.050314,0.003165,0.037736,0.006329,0.031646,0.060127,0,0.031447,0.03481,0.053797,0.006329,0,0.003165,0.056604,0.009494,0.012658,0.050633,0.012658,0.009494,0.025157,0.015823,0.012658,0.031646,0.018868,0.012579,0,0.009494,0.063291,0.08805,0.066456,0,0,0.056962,0.056962,0.037736,0.047468,0.006329,0.081761,0.025316]
area_under_roc_curve
0.03234888742934481 [0.186709,0.031646,0.012658,0.006289,0,0.037975,0.025157,0.022152,0.022152,0,0.012658,0.03481,0.081761,0.060127,0.006329,0.107595,0,0.056962,0.138365,0.098101,0,0.012579,0.012658,0,0.018868,0.053797,0.03481,0.006289,0,0,0,0.003165,0.091772,0.009494,0.012579,0,0.037736,0.056604,0.012579,0,0.037975,0,0,0.006289,0,0.075472,0.009494,0.006289,0,0.003165,0.006329,0.006289,0.012579,0.075949,0.006289,0.053797,0,0,0.050314,0.025316,0.012579,0.050314,0.006329,0.012579,0.003165,0.015823,0.107595,0,0,0.094937,0.107595,0.003165,0.119497,0.009494,0.062893,0,0.003165,0.170886,0,0,0.025157,0.018987,0.031646,0.015823,0.006289,0,0,0.003165,0.009494,0.050314,0.031646,0,0.031447,0.044304,0.015823,0.044025,0.136076,0.031646,0.232704,0.009494]
area_under_roc_curve
0.032741471618501744 [0.03481,0.006289,0.012658,0.006329,0,0.006329,0.006289,0.025316,0.031447,0,0.028481,0.018987,0.08805,0.100629,0.018868,0.167722,0,0.015823,0.08805,0.10443,0,0.047468,0.006329,0.006329,0.012658,0.047468,0.085443,0,0.012579,0.006329,0,0,0.155063,0.022152,0.037736,0,0.050633,0.098101,0.006329,0,0.10443,0.003165,0,0.018868,0,0.113208,0,0.006329,0,0.022152,0.025157,0.056604,0.006329,0.006289,0.003165,0.025316,0,0.018987,0.037975,0.012579,0.018987,0.098101,0.018868,0,0.006329,0.003165,0,0,0.022152,0.018987,0.082278,0,0.006289,0.012579,0.164557,0.012579,0.018987,0.123418,0,0,0.025157,0,0.003165,0.037975,0.075472,0.050314,0,0.012579,0.031646,0.031646,0.069182,0.003165,0,0.119497,0.06962,0.050314,0.037975,0,0.220126,0.006329]
area_under_roc_curve
0.03757911392405065 [0.202532,0,0.025316,0,0,0.063291,0.018868,0.03481,0,0,0.015823,0.031646,0.100629,0.018868,0.018868,0.123418,0,0.053797,0,0.126582,0.018987,0.101266,0.022152,0,0.015823,0.056962,0.041139,0.031447,0.006289,0.003165,0,0,0.075949,0.006329,0.106918,0.006329,0.022152,0.091772,0.012658,0,0.14557,0.015823,0,0.025157,0.006289,0.050314,0,0.047468,0.018987,0.006329,0.018868,0.012579,0.025316,0.031447,0.028481,0.053797,0,0.003165,0.031646,0.012579,0.022152,0.120253,0.018868,0,0,0.028481,0.037736,0,0.012658,0.044304,0.117089,0.006329,0.018868,0,0.066456,0.012579,0.003165,0.21519,0.006329,0.037736,0.037736,0,0.018987,0.044304,0.044025,0,0,0.006289,0.053797,0.03481,0.031447,0,0.025157,0.018868,0.03481,0.025157,0.094937,0.006289,0.220126,0.053797]
area_under_roc_curve
0.03250139320117827 [0.079114,0.018868,0,0,0,0,0.012658,0.031646,0.006289,0,0,0.006289,0.063291,0.012579,0,0.199367,0,0.119497,0.015823,0.139241,0.003165,0.031646,0.03481,0.006329,0.012658,0.119497,0.056604,0.041139,0,0.012658,0.012658,0.006289,0.125786,0.012579,0.009494,0,0.037975,0.066456,0.003165,0,0.079114,0.009494,0,0.012658,0.044025,0.018987,0.009494,0.060127,0,0.012579,0.069182,0.006329,0.012658,0.037736,0.03481,0.041139,0,0.006329,0.037975,0.006289,0,0.196203,0,0.009494,0.003165,0.044025,0.08805,0.003165,0.015823,0.006329,0.031447,0,0.015823,0,0.041139,0,0,0.295597,0.006289,0.018868,0.101266,0,0.025316,0.018987,0.03481,0.012658,0,0,0.056604,0.056962,0.025157,0,0.009494,0.081761,0.025157,0.015823,0.107595,0.037736,0.085443,0.015823]
area_under_roc_curve
0.033674667622004634 [0.063291,0.037736,0,0,0,0.003165,0.018987,0.025316,0.025157,0,0.044025,0.012579,0.066456,0.006289,0.006289,0.142405,0,0.150943,0.031646,0.025316,0,0.03481,0.018987,0.012658,0.018987,0.031447,0.075472,0.009494,0.113208,0.012658,0,0,0.100629,0.012579,0.037975,0,0.056962,0.072785,0.006329,0,0.132911,0.006329,0,0.012658,0.018868,0.107595,0,0.025316,0.012579,0.050314,0.213836,0.03481,0.031646,0.012579,0.009494,0.060127,0,0,0.037975,0.125786,0.009494,0.151899,0.006289,0,0,0.069182,0.220126,0,0.009494,0.009494,0.08805,0,0.015823,0.025157,0.085443,0.006289,0,0.031447,0,0.006289,0.037975,0.006289,0.025316,0.025316,0.041139,0.022152,0,0,0.075472,0.037975,0.037736,0,0,0.037736,0.031447,0.022152,0.053797,0.012579,0.098101,0.079114]
area_under_roc_curve
0.02779585622163843 [0.037736,0.044304,0.006289,0.003165,0,0.006289,0.009494,0.006289,0.031646,0,0.025157,0.025157,0.03481,0.025316,0,0.144654,0,0.075472,0.012658,0.119497,0,0.015823,0.056604,0.015823,0.003165,0.025157,0.100629,0,0,0,0,0,0.08805,0.012579,0.025316,0,0.028481,0.060127,0.006329,0,0.100629,0,0,0.022152,0.006329,0.101266,0,0.022152,0.018868,0.031447,0.053797,0.003165,0.009494,0.047468,0.031646,0.09434,0,0.006289,0.018987,0.018987,0.012658,0.101266,0,0.006329,0,0.018868,0.113924,0.006289,0.015823,0.025157,0.044025,0.012579,0.10443,0.006329,0.053797,0.022152,0,0.044025,0.006289,0.009494,0.028481,0.006289,0.006289,0.025157,0.018987,0.015823,0,0.006329,0.018868,0.063291,0.050633,0,0.009494,0.079114,0.044025,0.082278,0.056604,0,0.110759,0.025157]
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
1.1962640966694216
kb_relative_information_score
1.1962486305774551
kb_relative_information_score
1.119795143956195
kb_relative_information_score
1.1208492384637727
kb_relative_information_score
1.0789550410827824
kb_relative_information_score
1.0788808890349053
kb_relative_information_score
1.152299181571606
kb_relative_information_score
1.152988311684595
kb_relative_information_score
1.190095731275309
kb_relative_information_score
1.1913215862164463
mean_absolute_error
0.019796602415520722
mean_absolute_error
0.019796600546941753
mean_absolute_error
0.019796832402981645
mean_absolute_error
0.019796827241229494
mean_absolute_error
0.019796957586245698
mean_absolute_error
0.019796959121688926
mean_absolute_error
0.01979674258017141
mean_absolute_error
0.01979673644681533
mean_absolute_error
0.01979662676624454
mean_absolute_error
0.019796623425846396
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
0.0125
predictive_accuracy
0.0125
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
0.0125 [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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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
0.9998284048242772
relative_absolute_error
0.9998283104516021
relative_absolute_error
0.9998400203526068
relative_absolute_error
0.9998397596580536
relative_absolute_error
0.9998463427396801
relative_absolute_error
0.9998464202873178
relative_absolute_error
0.9998354838470392
relative_absolute_error
0.9998351740815806
relative_absolute_error
0.9998296346588136
relative_absolute_error
0.9998294659518365
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
0.09948354903164731
root_mean_squared_error
0.09948353963597945
root_mean_squared_error
0.09948448988775097
root_mean_squared_error
0.09948446432102985
root_mean_squared_error
0.09948501254851275
root_mean_squared_error
0.09948502050582493
root_mean_squared_error
0.09948414360985883
root_mean_squared_error
0.09948411263341295
root_mean_squared_error
0.09948367075581634
root_mean_squared_error
0.09948365397597789
root_relative_squared_error
0.9998472877299944
root_relative_squared_error
0.9998471932999796
root_relative_squared_error
0.9998567436896235
root_relative_squared_error
0.9998564867344081
root_relative_squared_error
0.9998619966279249
root_relative_squared_error
0.9998620766019214
root_relative_squared_error
0.9998532634658617
root_relative_squared_error
0.9998529521408668
root_relative_squared_error
0.9998485111039237
root_relative_squared_error
0.9998483424602017
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
2242.830204000029
usercpu_time_millis
1859.8115219999727
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
1831.299478999881
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
133.24190899993482
usercpu_time_millis_testing
134.54875299999003
usercpu_time_millis_testing
129.51895000014702
usercpu_time_millis_testing
124.29545700001654
usercpu_time_millis_testing
123.5620940001354
usercpu_time_millis_testing
123.34101600004033
usercpu_time_millis_testing
133.00034799999594
usercpu_time_millis_testing
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usercpu_time_millis_testing
124.52397399988513
usercpu_time_millis_testing
124.12539599995398
usercpu_time_millis_training
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usercpu_time_millis_training
1725.2627689999827
usercpu_time_millis_training
1716.9434259999434
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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