2040463
2742
Wouter Nuijten
145682
Supervised Classification
area_under_roc_curve
5978
weka.AttributeSelectedClassifier_J48(2)
181183
weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.InfoGainAttributeEval " -S "weka.attributeSelection.Ranker -T -1.7976931348623157E308 -N -1" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
5886
M
2
5886
E
weka.attributeSelection.InfoGainAttributeEval
5978
S
weka.attributeSelection.Ranker -T -1.7976931348623157E308 -N -1
5978
W
weka.classifiers.trees.J48
5978
weka
weka_3.8.1
313
spectrometer
https://www.openml.org/data/download/52217/phpHNcI2h
-1
5030818
description
https://api.openml.org/data/download/5030818/weka_generated_run6742824426954666593.xml
-1
5030820
model_readable
https://api.openml.org/data/download/5030820/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier751657160724172158.model
-1
5030819
model_serialized
https://api.openml.org/data/download/5030819/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier51479989785486926.model
-1
5030821
predictions
https://api.openml.org/data/download/5030821/weka_generated_predictions4318946964029507067.arff
area_under_roc_curve
0.759887 [0.658144,0.498113,0.622274,0.499057,0.744802,0.498106,0.690595,0.862508,0.799599,0.779223,0.976733,0.558915,0.739087,0.730968,0.724095,0.659539,0.77352,0.710974,0.766068,0.907544,0.654534,0.693186,0.620493,0.619307,0.661932,0.499057,0.49717,0.830808,0.661616,0.532744,0.813557,0.759442,0.848495,0.994867,0.49717,0.494329,0.499057,0.496226,0.5,0.499053,0.496212,0.491493,0.499057,0.499057,0.661616,0.498113,0.495283,0.499057]
average_cost
0
f_measure
0.467088 [0,0,0.190476,0,0,0,0.222222,0.692308,0.592593,0.608696,0.925926,0,0.444444,0.42623,0.45,0.125,0.457143,0.38806,0.457831,0.819048,0.210526,0.333333,0.2,0.2,0.25,0,0,0.571429,0,0,0.637363,0.486486,0.529412,0.615385,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0]
kappa
0.444588
kb_relative_information_score
233.817317
mean_absolute_error
0.022469
mean_prior_absolute_error
0.039641
number_of_instances
531 [3,1,7,1,2,3,10,24,13,12,26,15,27,31,19,19,30,35,42,55,9,10,4,4,3,1,1,3,3,8,45,20,18,5,1,2,1,1,1,3,3,2,1,1,3,1,1,1]
precision
0.466771 [0,0,0.142857,0,0,0,0.25,0.642857,0.571429,0.636364,0.892857,0,0.444444,0.433333,0.428571,0.153846,0.4,0.40625,0.463415,0.86,0.2,0.375,0.166667,0.166667,0.2,0,0,0.5,0,0,0.630435,0.529412,0.5625,0.5,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0]
predictive_accuracy
0.472693
prior_entropy
4.846691
recall
0.472693 [0,0,0.285714,0,0,0,0.2,0.75,0.615385,0.583333,0.961538,0,0.444444,0.419355,0.473684,0.105263,0.533333,0.371429,0.452381,0.781818,0.222222,0.3,0.25,0.25,0.333333,0,0,0.666667,0,0,0.644444,0.45,0.5,0.8,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0]
relative_absolute_error
0.56681
root_mean_prior_squared_error
0.140616
root_mean_squared_error
0.139914
root_relative_squared_error
0.995014
total_cost
0
area_under_roc_curve
0.771671 [0.0,0.0,0.490566,0.0,0.0,0.5,0.5,0.971154,0.490566,0.471698,1,0.461538,0.816993,0.647059,0.461538,0.725962,0.986928,0.74,0.85,0.889796,0.5,0.990566,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.971698,0.989796,0.951923,1,0.0,0.5,0.0,0.0,0.0,0.5,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5]
area_under_roc_curve
0.716229 [0.0,0.0,0.490385,0.5,0.990385,0.5,0.490385,0.980392,0.5,1,1,0.676471,0.82,0.61,0.730392,0.735294,0.796667,0.581633,0.744898,0.885417,0.490385,0.5,0.0,0.5,0.0,0.5,0.0,0.0,0.0,0.461538,0.727041,0.490196,0.745098,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]
area_under_roc_curve
0.773973 [0.0,0.0,0.442308,0.0,0.5,0.0,0.961538,0.990196,0.990385,0.461538,0.99,0.470588,0.83,0.986667,0.745098,0.735294,0.826667,0.813333,0.696429,0.904255,0.480769,0.5,0.0,0.5,0.0,0.0,0.0,0.5,0.0,0.451923,0.714286,0.730392,0.995098,0.990385,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0]
area_under_roc_curve
0.804468 [0.0,0.0,0.990385,0.0,0.0,0.0,0.5,0.98,1,0.990385,0.833333,0.45098,0.983333,0.646667,1,0.735294,0.796667,0.806667,0.591837,0.984043,0.480769,1,0.5,0.990385,0.0,0.0,0.0,1,0.0,0.490385,0.739796,0.980392,0.490385,1,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0]
area_under_roc_curve
0.804575 [0.0,0.5,0.490385,0.0,0.0,0.0,0.5,0.656667,0.691176,1,1,0.696078,0.970588,0.986667,0.490196,0.971154,0.62,0.803333,0.739796,0.989362,0.490385,0.490385,1,0.0,0.0,0.0,0.0,1,0.0,0.5,0.979592,1,1,1,0.0,0.0,0.0,0.0,0.0,0.0,0.490385,0.0,0.0,0.0,0.5,0.0,0.0,0.0]
area_under_roc_curve
0.735104 [0.0,0.0,0.490385,0.0,0.0,0.0,0.980769,0.833333,1,0.471154,1,0.5,0.480392,0.813333,0.470588,0.470588,0.823333,0.793333,0.834184,0.822695,0.961538,0.490385,0.5,0.0,0.0,0.0,0.0,0.0,0.5,0.490385,0.704082,0.490196,0.95098,0.980769,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.490385,0.0,0.0,0.0]
area_under_roc_curve
0.754415 [0.0,0.0,0.971154,0.0,0.0,0.0,0.5,0.99,0.745098,1,1,0.490385,0.470588,0.47,1,0.696078,0.786667,0.49,0.696429,0.902482,0.0,0.490385,0.490385,0.0,0.0,0.0,0.0,0.0,1,0.0,0.777083,0.75,0.72549,0.971154,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,1,0.0,0.0,0.0]
area_under_roc_curve
0.759375 [0.5,0.0,0.0,0.0,0.0,0.0,1,0.740196,0.5,0.490385,0.990196,0.971154,0.63,0.716837,0.75,0.715686,0.61,0.530612,0.858333,0.897917,1,0.5,0.0,0.0,0.990385,0.0,0.0,0.0,0.5,0.0,1,0.965686,0.740196,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.0,0.0,0.0,0.5,0.0]
area_under_roc_curve
0.763189 [0.971154,0.0,0.0,0.0,0.0,0.0,0.980769,0.75,1,0.75,0.990196,0.461538,0.66,0.656667,0.990385,0.490196,0.823333,0.854592,0.883333,0.895833,0.490385,0.990385,0.0,0.0,0.490385,0.0,0.0,0.0,0.0,0.480769,0.6875,0.740196,0.990196,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.0,0.0,0.0,0.5,0.0,0.5,0.0,0.0]
area_under_roc_curve
0.716896 [0.5,0.0,0.0,0.0,0.0,0.5,0.490385,0.740196,1,0.990196,1,0.461538,0.656667,0.806667,0.735294,0.470588,0.643333,0.714286,0.693878,0.8875,0.980769,0.980769,0.0,0.0,0.5,0.0,0.5,0.0,0.0,0.432692,0.78125,0.5,0.740196,0.0,0.0,0.0,0.0,0.5,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]
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
average_cost
0
f_measure
0.43895 [0,0,0,0,0,0,0,0.666667,0,0,1,0,0.666667,0.333333,0,0,0.857143,0.571429,0.5,0.8,0,0.666667,0,0,0,0,0,0,0,0,0.769231,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.373046 [0,0,0,0,0,0,0,0.666667,0,1,1,0,0.4,0.222222,0.333333,0.5,0.333333,0,0.571429,0.8,0,0,0,0,0,0,0,0,0,0,0.571429,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.462477 [0,0,0,0,0,0,0,0.8,0.5,0,0.857143,0,0.666667,0.666667,0.5,0,0.571429,0.666667,0.285714,0.727273,0,0,0,0,0,0,0,0,0,0,0.571429,0.666667,0.666667,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.564158 [0,0,0.666667,0,0,0,0,0.857143,1,0.666667,0.8,0,0.857143,0.5,1,0,0.4,0.5,0.333333,0.923077,0,0.666667,0,0.666667,0,0,0,1,0,0,0.571429,0.666667,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.571975 [0,0,0,0,0,0,0,0.4,0.333333,1,1,0,0.571429,0.8,0,0.5,0.333333,0.666667,0.666667,0.923077,0,0,1,0,0,0,0,1,0,0,0.8,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.363465 [0,0,0,0,0,0,0.5,0.8,1,0,1,0,0,0.5,0,0,0.666667,0,0.5,0.727273,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.437597 [0,0,0.5,0,0,0,0,0.857143,0.666667,1,1,0,0,0,1,0,0.444444,0,0.363636,0.666667,0,0,0,0,0,0,0,0,0,0,0.6,0.666667,0.333333,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0]
f_measure
0.386467 [0,0,0,0,0,0,1,0.5,0,0,0.8,0,0,0.5,0.666667,0,0.166667,0,0.25,0.888889,1,0,0,0,0.666667,0,0,0,0,0,0.909091,0.571429,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.506556 [0,0,0,0,0,0,0,0.666667,1,0.666667,0.8,0,0.4,0.4,0.666667,0,0.666667,0.666667,0.727273,0.888889,0,0.666667,0,0,0,0,0,0,0,0,0.5,0.5,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.407308 [0,0,0,0,0,0,0,0.5,1,0.8,1,0,0.4,0.4,0.5,0,0.333333,0.444444,0.285714,0.8,0.666667,0,0,0,0,0,0,0,0,0,0.6,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
kappa
0.452571
kappa
0.346413
kappa
0.445648
kappa
0.581893
kappa
0.58205
kappa
0.362646
kappa
0.422398
kappa
0.379063
kappa
0.484281
kappa
0.384875
kb_relative_information_score
22.931731
kb_relative_information_score
19.550527
kb_relative_information_score
22.917289
kb_relative_information_score
29.998372
kb_relative_information_score
28.06937
kb_relative_information_score
20.207508
kb_relative_information_score
23.418089
kb_relative_information_score
21.828285
kb_relative_information_score
25.011788
kb_relative_information_score
19.884357
mean_absolute_error
0.02201
mean_absolute_error
0.025494
mean_absolute_error
0.022478
mean_absolute_error
0.017693
mean_absolute_error
0.018582
mean_absolute_error
0.025131
mean_absolute_error
0.023255
mean_absolute_error
0.024613
mean_absolute_error
0.020534
mean_absolute_error
0.02491
mean_prior_absolute_error
0.039681
mean_prior_absolute_error
0.039673
mean_prior_absolute_error
0.039638
mean_prior_absolute_error
0.039627
mean_prior_absolute_error
0.039672
mean_prior_absolute_error
0.039645
mean_prior_absolute_error
0.039604
mean_prior_absolute_error
0.039587
mean_prior_absolute_error
0.039629
mean_prior_absolute_error
0.039657
number_of_instances
54 [0,0,1,0,0,1,1,2,1,1,2,2,3,3,2,2,3,4,4,5,1,1,0,1,0,0,0,0,0,1,5,2,2,0,1,0,0,0,1,1,0,0,0,0,0,0,0,1]
number_of_instances
53 [0,0,1,1,1,1,1,2,1,1,3,2,3,3,2,2,3,4,4,5,1,1,0,1,0,1,0,0,0,1,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
number_of_instances
53 [0,0,1,0,1,0,1,2,1,1,3,2,3,3,2,2,3,3,4,6,1,1,0,1,0,0,0,1,0,1,4,2,2,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
number_of_instances
53 [0,0,1,0,0,0,1,3,1,1,3,2,3,3,2,2,3,3,4,6,1,1,1,1,0,0,0,1,0,1,4,2,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
number_of_instances
53 [0,1,1,0,0,0,1,3,2,1,3,2,2,3,2,1,3,3,4,6,1,1,1,0,0,0,0,1,0,1,4,2,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0]
number_of_instances
53 [0,0,1,0,0,0,1,3,2,1,3,1,2,3,2,2,3,3,4,6,1,1,1,0,0,0,0,0,1,1,4,2,2,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0]
number_of_instances
53 [0,0,1,0,0,0,1,3,2,1,3,1,2,3,2,2,3,3,4,6,0,1,1,0,0,0,0,0,1,0,5,2,2,1,0,1,0,0,0,0,0,1,0,0,1,0,0,0]
number_of_instances
53 [1,0,0,0,0,0,1,2,1,1,2,1,3,4,2,2,3,4,5,5,1,1,0,0,1,0,0,0,1,0,5,2,2,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0]
number_of_instances
53 [1,0,0,0,0,0,1,2,1,2,2,1,3,3,1,2,3,4,5,5,1,1,0,0,1,0,0,0,0,1,5,2,2,0,0,0,1,0,0,1,0,0,0,1,0,1,0,0]
number_of_instances
53 [1,0,0,0,0,1,1,2,1,2,2,1,3,3,2,2,3,4,4,5,1,1,0,0,1,0,1,0,0,1,5,2,2,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0]
precision
0.417438 [0,0,0,0,0,0,0,0.5,0,0,1,0,0.666667,0.333333,0,0,0.75,0.666667,0.5,0.8,0,0.5,0,0,0,0,0,0,0,0,0.625,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.393082 [0,0,0,0,0,0,0,0.5,0,1,1,0,0.5,0.166667,0.25,0.5,0.333333,0,0.666667,0.8,0,0,0,0,0,0,0,0,0,0,0.666667,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.48522 [0,0,0,0,0,0,0,0.666667,0.333333,0,0.75,0,0.666667,0.666667,0.5,0,0.5,0.666667,0.333333,0.8,0,0,0,0,0,0,0,0,0,0,0.666667,1,1,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.585085 [0,0,0.5,0,0,0,0,0.75,1,0.5,1,0,0.75,1,1,0,0.5,0.4,0.5,0.857143,0,0.5,0,0.5,0,0,0,1,0,0,0.666667,0.5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.583827 [0,0,0,0,0,0,0,0.5,0.25,1,1,0,0.4,1,0,0.333333,0.333333,0.666667,1,0.857143,0,0,1,0,0,0,0,1,0,0,0.666667,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.361635 [0,0,0,0,0,0,0.333333,1,1,0,1,0,0,0.4,0,0,0.666667,0,0.375,0.8,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0.333333,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.475966 [0,0,0.333333,0,0,0,0,0.75,1,1,1,0,0,0,1,0,0.333333,0,0.285714,1,0,0,0,0,0,0,0,0,0,0,0.6,1,0.25,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0]
precision
0.392453 [0,0,0,0,0,0,1,0.5,0,0,0.666667,0,0,0.5,1,0,0.111111,0,0.333333,1,1,0,0,0,0.5,0,0,0,0,0,0.833333,0.4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.542138 [0,0,0,0,0,0,0,1,1,1,0.666667,0,0.5,0.5,0.5,0,0.666667,0.6,0.666667,1,0,0.5,0,0,0,0,0,0,0,0,0.666667,0.5,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.410692 [0,0,0,0,0,0,0,0.5,1,0.666667,1,0,0.5,0.5,0.5,0,0.333333,0.4,0.333333,0.8,0.5,0,0,0,0,0,0,0,0,0,0.6,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
predictive_accuracy
0.481481
predictive_accuracy
0.377358
predictive_accuracy
0.471698
predictive_accuracy
0.603774
predictive_accuracy
0.603774
predictive_accuracy
0.396226
predictive_accuracy
0.45283
predictive_accuracy
0.415094
predictive_accuracy
0.509434
predictive_accuracy
0.415094
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
prior_entropy
4.846691
recall
0.481481 [0,0,0,0,0,0,0,1,0,0,1,0,0.666667,0.333333,0,0,1,0.5,0.5,0.8,0,1,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.377358 [0,0,0,0,0,0,0,1,0,1,1,0,0.333333,0.333333,0.5,0.5,0.333333,0,0.5,0.8,0,0,0,0,0,0,0,0,0,0,0.5,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.471698 [0,0,0,0,0,0,0,1,1,0,1,0,0.666667,0.666667,0.5,0,0.666667,0.666667,0.25,0.666667,0,0,0,0,0,0,0,0,0,0,0.5,0.5,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.603774 [0,0,1,0,0,0,0,1,1,1,0.666667,0,1,0.333333,1,0,0.333333,0.666667,0.25,1,0,1,0,1,0,0,0,1,0,0,0.5,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.603774 [0,0,0,0,0,0,0,0.333333,0.5,1,1,0,1,0.666667,0,1,0.333333,0.666667,0.5,1,0,0,1,0,0,0,0,1,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.396226 [0,0,0,0,0,0,1,0.666667,1,0,1,0,0,0.666667,0,0,0.666667,0,0.75,0.666667,0,0,0,0,0,0,0,0,0,0,0.25,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.45283 [0,0,1,0,0,0,0,1,0.5,1,1,0,0,0,1,0,0.666667,0,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0.6,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0]
recall
0.415094 [0,0,0,0,0,0,1,0.5,0,0,1,0,0,0.5,0.5,0,0.333333,0,0.2,0.8,1,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.509434 [0,0,0,0,0,0,0,0.5,1,0.5,1,0,0.333333,0.333333,1,0,0.666667,0.75,0.8,0.8,0,1,0,0,0,0,0,0,0,0,0.4,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.415094 [0,0,0,0,0,0,0,0.5,1,1,1,0,0.333333,0.333333,0.5,0,0.333333,0.5,0.25,0.8,1,0,0,0,0,0,0,0,0,0,0.6,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.554664
relative_absolute_error
0.642598
relative_absolute_error
0.567092
relative_absolute_error
0.446495
relative_absolute_error
0.468396
relative_absolute_error
0.633894
relative_absolute_error
0.587183
relative_absolute_error
0.62175
relative_absolute_error
0.518159
relative_absolute_error
0.628128
root_mean_prior_squared_error
0.140756
root_mean_prior_squared_error
0.140729
root_mean_prior_squared_error
0.140604
root_mean_prior_squared_error
0.140565
root_mean_prior_squared_error
0.140725
root_mean_prior_squared_error
0.140628
root_mean_prior_squared_error
0.140483
root_mean_prior_squared_error
0.14042
root_mean_prior_squared_error
0.14057
root_mean_prior_squared_error
0.140671
root_mean_squared_error
0.139061
root_mean_squared_error
0.150455
root_mean_squared_error
0.137294
root_mean_squared_error
0.124182
root_mean_squared_error
0.121936
root_mean_squared_error
0.150587
root_mean_squared_error
0.144965
root_mean_squared_error
0.144115
root_mean_squared_error
0.134164
root_mean_squared_error
0.148966
root_relative_squared_error
0.987955
root_relative_squared_error
1.069107
root_relative_squared_error
0.976459
root_relative_squared_error
0.883449
root_relative_squared_error
0.866488
root_relative_squared_error
1.070814
root_relative_squared_error
1.031904
root_relative_squared_error
1.026313
root_relative_squared_error
0.954425
root_relative_squared_error
1.058967
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