10410467
1
Jan van Rijn
9956
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8248231
C
371.3001894388366
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.05314139766507453
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.01713812037635565
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
63641
16360
shrinking
false
16360
tol
0.00015336462326840584
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
21742727
description
https://api.openml.org/data/download/21742727/description.xml
-1
21742728
predictions
https://api.openml.org/data/download/21742728/predictions.arff
area_under_roc_curve
0.7924836249417745 [0.731755,0.809657,0.686868,0.874684,0.650249,0.872473,0.527144,0.623421,0.749684,0.6875,0.873421,0.498421,0.936868,0.936868,0.622789,0.998737,0.713065,0.68371,0.905618,0.937184,0.999052,0.499368,0.842487,0.872473,0.529039,0.776512,0.747473,0.530618,0.905618,0.966539,0.593118,0.998421,0.526828,0.967487,0.718118,0.624052,0.93371,0.87121,0.779039,0.843118,0.96875,0.842171,0.560289,0.622789,0.499684,0.716223,0.681815,0.779987,0.71496,0.809973,0.901828,0.838696,0.715907,0.776512,0.865524,0.777776,0.998737,0.683394,0.745894,1,1,0.935605,0.96875,0.780618,0.779355,0.843434,0.904987,0.747473,0.84375,0.530302,0.714644,0.749052,0.968118,0.77588,0.874684,0.874368,0.840276,0.966223,0.749052,0.748421,0.624368,0.748421,0.652776,0.778723,0.904671,0.9375,0.622789,0.83996,0.872789,0.966223,0.84375,0.624368,0.874052,0.967802,0.903723,0.744315,0.682762,0.968118,0.904355,0.842802]
average_cost
0
f_measure
0.5752317265662614 [0.518519,0.571429,0.5,0.827586,0.25,0.666667,0.066667,0.32,0.64,0.545455,0.727273,0,0.875,0.875,0.296296,0.888889,0.341463,0.352941,0.83871,0.903226,0.914286,0,0.709677,0.666667,0.083333,0.45,0.5,0.105263,0.83871,0.789474,0.285714,0.864865,0.064516,0.857143,0.56,0.347826,0.666667,0.6,0.5625,0.758621,0.967742,0.6875,0.16,0.296296,0,0.451613,0.3,0.62069,0.4,0.588235,0.604651,0.511628,0.4375,0.45,0.413793,0.5,0.888889,0.342857,0.432432,1,1,0.777778,0.967742,0.666667,0.580645,0.785714,0.787879,0.5,0.814815,0.1,0.388889,0.592593,0.909091,0.428571,0.827586,0.8,0.578947,0.769231,0.592593,0.551724,0.363636,0.551724,0.3125,0.545455,0.764706,0.933333,0.296296,0.564103,0.685714,0.769231,0.814815,0.363636,0.774194,0.882353,0.702703,0.380952,0.324324,0.909091,0.742857,0.733333]
kappa
0.5849672234317795
kb_relative_information_score
0.5882064786477262
mean_absolute_error
0.008217636022513951
mean_prior_absolute_error
0.019799992711748222
number_of_instances
1599 [15,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16]
precision
0.5960820057907027 [0.583333,0.526316,0.75,0.923077,0.208333,0.6,0.071429,0.444444,0.888889,1,0.705882,0,0.875,0.875,0.363636,0.8,0.28,0.333333,0.866667,0.933333,0.842105,0,0.733333,0.6,0.125,0.375,0.5,0.333333,0.866667,0.681818,0.6,0.761905,0.066667,0.789474,0.777778,0.571429,0.538462,0.5,0.5625,0.846154,1,0.6875,0.222222,0.363636,0,0.466667,0.25,0.692308,0.368421,0.555556,0.481481,0.407407,0.4375,0.375,0.285714,0.45,0.8,0.315789,0.380952,1,1,0.7,1,0.818182,0.6,0.916667,0.764706,0.5,1,0.25,0.35,0.727273,0.882353,0.346154,0.923077,0.857143,0.5,0.652174,0.727273,0.615385,0.666667,0.615385,0.3125,0.529412,0.722222,1,0.363636,0.478261,0.631579,0.652174,1,0.666667,0.8,0.833333,0.619048,0.307692,0.285714,0.882353,0.684211,0.785714]
predictive_accuracy
0.5891181988742964
prior_entropy
6.643827772868604
recall
0.5891181988742964 [0.466667,0.625,0.375,0.75,0.3125,0.75,0.0625,0.25,0.5,0.375,0.75,0,0.875,0.875,0.25,1,0.4375,0.375,0.8125,0.875,1,0,0.6875,0.75,0.0625,0.5625,0.5,0.0625,0.8125,0.9375,0.1875,1,0.0625,0.9375,0.4375,0.25,0.875,0.75,0.5625,0.6875,0.9375,0.6875,0.125,0.25,0,0.4375,0.375,0.5625,0.4375,0.625,0.8125,0.6875,0.4375,0.5625,0.75,0.5625,1,0.375,0.5,1,1,0.875,0.9375,0.5625,0.5625,0.6875,0.8125,0.5,0.6875,0.0625,0.4375,0.5,0.9375,0.5625,0.75,0.75,0.6875,0.9375,0.5,0.5,0.25,0.5,0.3125,0.5625,0.8125,0.875,0.25,0.6875,0.75,0.9375,0.6875,0.25,0.75,0.9375,0.8125,0.5,0.375,0.9375,0.8125,0.6875]
relative_absolute_error
0.4150322751198822
root_mean_prior_squared_error
0.09949872432040595
root_mean_squared_error
0.09065117772270778
root_relative_squared_error
0.9110787936415418
total_cost
0
area_under_roc_curve
0.8236207308335322 [1,0.996855,0.5,1,0.5,0.746835,0.5,0.5,1,0.5,0.996855,0.5,0.996835,1,0.5,1,0.987342,0.993711,1,1,1,0.5,1,0.746835,0.5,0.993711,0.993711,0.5,1,0.5,0.5,1,0.481132,1,1,0.75,0.996855,0.996855,0.75,0.75,1,0.993711,0.493711,0.5,0.5,0.993711,0.75,0.996855,0.75,0.75,0.990566,1,1,0.493671,0.981132,0.75,1,0.993711,0.996855,1,1,0.996835,1,1,0.746835,1,0.5,0.996855,1,0.5,0.5,0.75,0.996855,0.996855,1,1,1,1,1,0.996855,0.996855,1,0.75,0.75,1,1,0.5,0.746835,0.5,0.993671,0.75,0.75,1,1,0.75,0.75,0.993711,1,1,1]
area_under_roc_curve
0.7730276251890769 [0.746835,0.496855,0.5,1,0.5,0.5,0.5,0.496855,0.75,0.75,0.996855,0.5,1,1,0.496835,0.996835,0.743671,0.996855,1,0.75,1,0.5,0.993671,0.746835,0.5,0.496835,0.493711,0.5,0.75,0.996835,0.5,1,0.990566,0.993711,0.496855,0.75,1,0.996855,0.75,0.75,1,1,0.5,0.496835,0.496855,0.996855,0.496835,0.996855,0.496835,0.996835,0.996855,0.996835,0.996855,0.746835,0.981132,0.996835,0.996855,0.493711,0.993711,1,1,0.746835,1,0.496855,1,0.75,0.75,0.5,1,0.5,0.5,1,1,0.990566,1,0.75,0.743671,0.993671,0.5,0.993711,1,0.996835,0.496855,0.5,0.996855,1,0.5,0.993671,0.75,0.996835,0.75,0.5,0.996855,0.996855,0.75,0.746835,0.487421,0.996855,0.496835,0.5]
area_under_roc_curve
0.7731470424329271 [0.746835,0.990566,0.75,1,0.5,0.996855,0.5,1,0.5,0.5,0.993671,0.493711,1,0.75,0.5,1,0.993671,0.5,1,1,1,0.5,0.75,0.996855,0.496855,0.746835,1,0.5,1,1,0.5,1,0.5,0.75,0.746835,0.493711,0.993711,1,0.993711,0.5,0.75,0.996855,0.996855,0.5,0.5,0.5,0.490506,0.75,0.75,0.487421,0.996855,0.496835,0.746835,0.993671,0.981132,0.5,1,0.496855,0.984277,1,1,0.996855,1,1,0.75,0.75,1,0.496855,1,0.496835,0.5,0.746835,1,0.996855,1,0.75,1,1,0.5,0.5,0.5,0.5,0.493711,0.746835,0.990566,0.75,0.5,0.5,0.996835,1,1,0.5,1,1,0.996835,0.990566,0.984277,0.996835,0.993671,0.996855]
area_under_roc_curve
0.8013693177294797 [0.75,0.996855,1,0.996835,0.996835,0.496855,0.5,0.5,1,0.75,1,0.5,0.75,0.75,0.746835,0.996835,0.746835,0.743671,1,1,1,0.5,1,0.5,0.496855,0.740506,0.993711,0.5,0.75,0.993671,0.75,0.996855,0.5,1,0.75,0.5,0.987421,0.496835,0.496855,1,1,0.996855,0.5,1,0.5,0.5,0.996835,1,0.984277,0.996855,1,0.996835,0.746835,0.75,0.743671,0.746835,1,1,0.987421,1,1,0.5,1,0.5,0.75,0.496855,0.993671,0.996855,1,0.75,0.496835,0.496835,1,1,0.5,0.75,0.75,0.993711,0.5,1,0.996855,0.5,0.496855,0.75,1,0.75,0.75,0.993711,0.746835,1,1,0.75,0.75,1,0.993711,0.987421,0.746835,1,0.996835,0.996855]
area_under_roc_curve
0.7792771276172277 [0.75,0.746835,0.746835,1,0.987421,0.996855,0.496855,0.496835,0.5,0.5,0.746835,0.5,0.496855,1,0.496855,0.996855,0.5,0.75,0.75,1,1,0.5,0.75,1,0.490566,0.746835,0.743671,1,0.743671,1,0.496855,1,0.496835,0.996835,0.5,1,0.996835,1,0.490566,0.496855,1,0.996835,0.493671,0.5,0.5,0.5,0.493671,0.75,0.990566,0.993711,0.746835,0.75,0.75,0.496855,0.993671,0.75,1,0.75,0.5,1,1,1,1,0.996835,0.493711,1,1,0.746835,1,0.496835,0.987421,1,1,0.737342,0.746835,1,0.993711,1,1,0.75,0.5,0.5,0.496855,0.996855,1,1,0.496835,0.493711,1,0.996855,0.5,0.75,0.75,0.5,1,0.987421,0.5,1,0.75,0.996835]
area_under_roc_curve
0.7855863386673034 [1,0.996835,0.75,0.5,0.981132,1,0.496855,0.5,1,1,1,0.5,1,1,0.993711,0.996855,0.496835,0.5,0.75,1,1,0.5,0.746835,0.993711,0.493711,0.740506,0.5,0.5,1,0.996835,0.5,1,0.496835,1,0.5,0.996855,0.996835,0.996835,1,0.996855,1,0.75,0.5,0.75,0.5,0.5,0.740506,0.5,0.993711,1,0.984177,0.493711,0.496835,0.996855,0.746835,0.990506,1,0.740506,0.5,1,1,1,0.75,0.75,0.996855,1,1,0.75,0.75,0.5,0.993711,0.496855,1,0.5,0.75,1,0.990566,0.996855,0.75,0.75,0.5,0.496855,0.496835,0.990566,0.5,1,0.5,0.993711,0.996835,0.996855,0.5,0.5,0.75,1,1,0.990566,0.496835,1,1,1]
area_under_roc_curve
0.8045736804394552 [0.493711,1,0.5,1,0.993711,1,0.984277,0.75,0.996835,1,0.75,0.496835,1,1,1,1,0.496855,0.5,1,1,0.996835,0.5,0.5,0.746835,0.5,0.743671,0.5,0.5,1,0.996835,0.5,0.996835,0.5,1,0.75,0.5,0.746835,0.993671,0.75,1,1,1,0.496835,0.990566,0.5,0.75,0.990566,0.746835,0.996855,1,0.996835,0.996855,0.5,0.487421,1,0.5,1,0.746835,0.5,1,1,1,1,0.75,0.496855,1,1,0.75,0.5,0.5,0.987421,1,1,0.490506,1,0.996855,0.993711,0.743671,1,0.5,0.75,0.5,0.5,0.993711,1,1,0.993711,0.996835,0.996855,0.996835,0.75,0.496855,1,0.996835,0.993711,0.5,0.5,1,0.996855,0.75]
area_under_roc_curve
0.7635936629249261 [0.496855,0.746835,0.496835,1,0.484277,0.993671,0.481132,1,0.5,0.5,0.75,0.493671,1,0.996855,0.993711,1,0.490566,0.496835,0.496855,0.75,0.996855,0.493711,0.996855,1,0.5,1,0.75,0.493711,1,1,0.5,0.993671,0.5,1,1,0.5,0.996835,0.493671,0.5,1,1,0.5,0.5,0.493711,0.5,1,0.496855,1,0.75,0.5,0.75,0.977987,0.493671,0.996855,0.993671,0.493711,1,0.75,0.5,1,1,0.993671,1,1,0.496855,1,0.996855,0.743671,0.75,0.496855,0.993711,0.5,0.75,0.493671,1,0.5,0.993711,1,0.5,0.5,0.5,1,0.743671,0.996855,0.746835,1,0.496855,0.5,1,0.75,1,1,0.746835,1,0.993671,0.5,0.75,1,1,0.75]
area_under_roc_curve
0.8014489292253799 [0.5,0.75,1,0.5,0.496835,0.996835,0.5,0.490506,0.5,1,1,0.5,1,0.996855,0.5,1,0.493711,0.987421,0.996855,1,0.996855,0.5,1,0.996835,0.5,1,1,0.5,1,0.996855,0.746835,0.996835,0.496855,0.996855,1,0.5,0.746835,0.993711,0.996835,1,1,0.75,0.5,0.496855,0.5,0.990566,0.993711,0.496855,0.5,0.75,1,0.990566,0.993711,0.743671,0.5,0.990566,0.993671,0.496835,1,1,1,1,1,0.5,0.75,1,0.996855,0.75,0.75,0.5,0.75,0.5,0.996855,0.990506,1,0.996835,0.75,1,0.996855,0.993711,0.5,0.990566,0.743671,0.5,1,1,0.993711,1,0.996855,1,1,0.5,0.996855,1,0.75,0.746835,0.75,0.5,1,0.75]
area_under_roc_curve
0.8222808997823109 [0.5,0.5,0.5,0.75,0.5,0.996815,0.5,0.5,0.75,0.5,0.5,0.5,1,1,0.5,1,0.993671,0.993671,1,0.996815,1,0.5,0.5,0.996815,0.75,0.993671,0.75,0.5,1,0.996835,0.75,1,0.493671,1,0.5,0.5,1,0.993671,1,0.75,1,0.75,0.746815,0.5,0.5,0.993671,0.493671,0.5,0.5,0.75,0.743631,0.75,0.996835,0.996815,0.984177,0.996835,0.996815,0.490446,0.996815,1,1,0.996815,1,0.75,1,0.5,1,0.743631,1,0.5,1,1,1,1,1,1,0.5,0.996815,0.993671,1,0.5,1,0.996815,1,1,1,0.996835,0.993631,0.993671,0.993631,1,0.496835,1,0.996815,0.996815,0.743631,0.993671,1,0.996835,0.75]
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
0.64663196087711
kappa
0.5455621301775149
kappa
0.5457234118064593
kappa
0.6023041111023435
kappa
0.5580633705559721
kappa
0.570774814581032
kappa
0.6086321852684736
kappa
0.5266272189349113
kappa
0.602398232881035
kappa
0.6441531452321957
kb_relative_information_score
0.6492933277518683
kb_relative_information_score
0.5490099530976379
kb_relative_information_score
0.5490099530976379
kb_relative_information_score
0.6053735254232304
kb_relative_information_score
0.561535191392214
kb_relative_information_score
0.5741068576657099
kb_relative_information_score
0.6116041893412953
kb_relative_information_score
0.5301834415420926
kb_relative_information_score
0.6053410548952027
kb_relative_information_score
0.6469767824540775
mean_absolute_error
0.007000000000000004
mean_absolute_error
0.009000000000000005
mean_absolute_error
0.009000000000000005
mean_absolute_error
0.007875000000000004
mean_absolute_error
0.008750000000000004
mean_absolute_error
0.008500000000000004
mean_absolute_error
0.007750000000000004
mean_absolute_error
0.009375000000000005
mean_absolute_error
0.007875000000000004
mean_absolute_error
0.0070440251572327075
mean_prior_absolute_error
0.01980002942907592
mean_prior_absolute_error
0.01980002942907592
mean_prior_absolute_error
0.019800029429075917
mean_prior_absolute_error
0.019800029429075917
mean_prior_absolute_error
0.01980002942907591
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.019799955856386102
mean_prior_absolute_error
0.01979995631910742
number_of_instances
160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,1,2,2,2,2,1,1,2,2,1,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,2,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1]
number_of_instances
160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,1,2,2,2,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,1,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,1,2,1,2,2,2,2,2,2,2,1,1,2,2,1,1,2,1]
number_of_instances
160 [2,1,2,2,2,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,1,1,2,2,2,1,2,1,1,1,1,2,1,1,1,2,2,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,2,1,1,2,2,1]
number_of_instances
160 [2,1,2,2,2,1,2,2,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,1,1,1,2,2,2,2,2,1,1,1,1,2,1,1,1,2,1,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,1,1,2,2,2,1]
number_of_instances
160 [2,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,2,2,1,2,2,1,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,2,1,1,2,2,2,1,2,1,1,2,2,1,1,1,2,2,2,2]
number_of_instances
160 [1,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,1,2,1,2,2,2,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,1,2,1,2,2,2,1,2,1,1,2,2,2,1,1,2,2,2,2]
number_of_instances
160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,1,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,1,2,2,2,1,2]
number_of_instances
160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,1,1,1,2,2,1,2,1,1,1,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,2,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,2,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,2,2,2,2,1,2]
number_of_instances
160 [1,2,1,2,2,2,2,2,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,1,1,2,2,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,1,2,2,2,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2]
number_of_instances
159 [1,2,1,2,2,2,2,1,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,2,1,2,1,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,2,1,1,1,2]
predictive_accuracy
0.65
predictive_accuracy
0.55
predictive_accuracy
0.55
predictive_accuracy
0.60625
predictive_accuracy
0.5625
predictive_accuracy
0.575
predictive_accuracy
0.6125
predictive_accuracy
0.53125
predictive_accuracy
0.60625
predictive_accuracy
0.6477987421383647
prior_entropy
6.644100581449517
prior_entropy
6.644100581449517
prior_entropy
6.644100581449517
prior_entropy
6.644100581449517
prior_entropy
6.644100581449517
prior_entropy
6.643553938691703
prior_entropy
6.643553938691703
prior_entropy
6.643553938691703
prior_entropy
6.643553938691703
prior_entropy
6.64355737669647
recall
0.65 [1,1,0,1,0,0.5,0,0,1,0,1,0,1,1,0,1,1,1,1,1,1,0,1,0.5,0,1,1,0,1,0,0,1,0,1,1,0.5,1,1,0.5,0.5,1,1,0,0,0,1,0.5,1,0.5,0.5,1,1,1,0,1,0.5,1,1,1,1,1,1,1,1,0.5,1,0,1,1,0,0,0.5,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,1,0,0.5,0,1,0.5,0.5,1,1,0.5,0.5,1,1,1,1]
recall
0.55 [0.5,0,0,1,0,0,0,0,0.5,0.5,1,0,1,1,0,1,0.5,1,1,0.5,1,0,1,0.5,0,0,0,0,0.5,1,0,1,1,1,0,0.5,1,1,0.5,0.5,1,1,0,0,0,1,0,1,0,1,1,1,1,0.5,1,1,1,0,1,1,1,0.5,1,0,1,0.5,0.5,0,1,0,0,1,1,1,1,0.5,0.5,1,0,1,1,1,0,0,1,1,0,1,0.5,1,0.5,0,1,1,0.5,0.5,0,1,0,0]
recall
0.55 [0.5,1,0.5,1,0,1,0,1,0,0,1,0,1,0.5,0,1,1,0,1,1,1,0,0.5,1,0,0.5,1,0,1,1,0,1,0,0.5,0.5,0,1,1,1,0,0.5,1,1,0,0,0,0,0.5,0.5,0,1,0,0.5,1,1,0,1,0,1,1,1,1,1,1,0.5,0.5,1,0,1,0,0,0.5,1,1,1,0.5,1,1,0,0,0,0,0,0.5,1,0.5,0,0,1,1,1,0,1,1,1,1,1,1,1,1]
recall
0.60625 [0.5,1,1,1,1,0,0,0,1,0.5,1,0,0.5,0.5,0.5,1,0.5,0.5,1,1,1,0,1,0,0,0.5,1,0,0.5,1,0.5,1,0,1,0.5,0,1,0,0,1,1,1,0,1,0,0,1,1,1,1,1,1,0.5,0.5,0.5,0.5,1,1,1,1,1,0,1,0,0.5,0,1,1,1,0.5,0,0,1,1,0,0.5,0.5,1,0,1,1,0,0,0.5,1,0.5,0.5,1,0.5,1,1,0.5,0.5,1,1,1,0.5,1,1,1]
recall
0.5625 [0.5,0.5,0.5,1,1,1,0,0,0,0,0.5,0,0,1,0,1,0,0.5,0.5,1,1,0,0.5,1,0,0.5,0.5,1,0.5,1,0,1,0,1,0,1,1,1,0,0,1,1,0,0,0,0,0,0.5,1,1,0.5,0.5,0.5,0,1,0.5,1,0.5,0,1,1,1,1,1,0,1,1,0.5,1,0,1,1,1,0.5,0.5,1,1,1,1,0.5,0,0,0,1,1,1,0,0,1,1,0,0.5,0.5,0,1,1,0,1,0.5,1]
recall
0.575 [1,1,0.5,0,1,1,0,0,1,1,1,0,1,1,1,1,0,0,0.5,1,1,0,0.5,1,0,0.5,0,0,1,1,0,1,0,1,0,1,1,1,1,1,1,0.5,0,0.5,0,0,0.5,0,1,1,1,0,0,1,0.5,1,1,0.5,0,1,1,1,0.5,0.5,1,1,1,0.5,0.5,0,1,0,1,0,0.5,1,1,1,0.5,0.5,0,0,0,1,0,1,0,1,1,1,0,0,0.5,1,1,1,0,1,1,1]
recall
0.6125 [0,1,0,1,1,1,1,0.5,1,1,0.5,0,1,1,1,1,0,0,1,1,1,0,0,0.5,0,0.5,0,0,1,1,0,1,0,1,0.5,0,0.5,1,0.5,1,1,1,0,1,0,0.5,1,0.5,1,1,1,1,0,0,1,0,1,0.5,0,1,1,1,1,0.5,0,1,1,0.5,0,0,1,1,1,0,1,1,1,0.5,1,0,0.5,0,0,1,1,1,1,1,1,1,0.5,0,1,1,1,0,0,1,1,0.5]
recall
0.53125 [0,0.5,0,1,0,1,0,1,0,0,0.5,0,1,1,1,1,0,0,0,0.5,1,0,1,1,0,1,0.5,0,1,1,0,1,0,1,1,0,1,0,0,1,1,0,0,0,0,1,0,1,0.5,0,0.5,1,0,1,1,0,1,0.5,0,1,1,1,1,1,0,1,1,0.5,0.5,0,1,0,0.5,0,1,0,1,1,0,0,0,1,0.5,1,0.5,1,0,0,1,0.5,1,1,0.5,1,1,0,0.5,1,1,0.5]
recall
0.60625 [0,0.5,1,0,0,1,0,0,0,1,1,0,1,1,0,1,0,1,1,1,1,0,1,1,0,1,1,0,1,1,0.5,1,0,1,1,0,0.5,1,1,1,1,0.5,0,0,0,1,1,0,0,0.5,1,1,1,0.5,0,1,1,0,1,1,1,1,1,0,0.5,1,1,0.5,0.5,0,0.5,0,1,1,1,1,0.5,1,1,1,0,1,0.5,0,1,1,1,1,1,1,1,0,1,1,0.5,0.5,0.5,0,1,0.5]
recall
0.6477987421383647 [0,0,0,0.5,0,1,0,0,0.5,0,0,0,1,1,0,1,1,1,1,1,1,0,0,1,0.5,1,0.5,0,1,1,0.5,1,0,1,0,0,1,1,1,0.5,1,0.5,0.5,0,0,1,0,0,0,0.5,0.5,0.5,1,1,1,1,1,0,1,1,1,1,1,0.5,1,0,1,0.5,1,0,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0.5,1,1,1,0.5]
relative_absolute_error
0.35353482807054076
relative_absolute_error
0.4545447789478381
relative_absolute_error
0.45454477894783823
relative_absolute_error
0.3977266815793584
relative_absolute_error
0.44191853508817625
relative_absolute_error
0.42929388639311
relative_absolute_error
0.39141501406430623
relative_absolute_error
0.47348590411004776
relative_absolute_error
0.3977281594524399
relative_absolute_error
0.3557596311682293
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.0994985414402977
root_mean_squared_error
0.08366600265340758
root_mean_squared_error
0.0948683298050514
root_mean_squared_error
0.0948683298050514
root_mean_squared_error
0.08874119674649426
root_mean_squared_error
0.09354143466934856
root_mean_squared_error
0.0921954445729289
root_mean_squared_error
0.08803408430829507
root_mean_squared_error
0.09682458365518545
root_mean_squared_error
0.08874119674649426
root_mean_squared_error
0.08392869090622532
root_relative_squared_error
0.840873569727867
root_relative_squared_error
0.9534610069487428
root_relative_squared_error
0.9534610069487428
root_relative_squared_error
0.8918811049126709
root_relative_squared_error
0.9401252311972099
root_relative_squared_error
0.9266009872400361
root_relative_squared_error
0.8847776569515093
root_relative_squared_error
0.973125681204686
root_relative_squared_error
0.8918844189651877
root_relative_squared_error
0.8435167962395228
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
472.3925559999316
usercpu_time_millis
470.78144499982955
usercpu_time_millis
471.0623429998577
usercpu_time_millis
469.17244600012964
usercpu_time_millis
477.0796790000986
usercpu_time_millis
471.79024400020353
usercpu_time_millis
471.73960100008117
usercpu_time_millis
473.12337099992874
usercpu_time_millis
473.9897260001271
usercpu_time_millis
484.24367000006896
usercpu_time_millis_testing
63.515842000015255
usercpu_time_millis_testing
62.70022399985464
usercpu_time_millis_testing
62.82786399992801
usercpu_time_millis_testing
62.577776000125596
usercpu_time_millis_testing
62.77166100016984
usercpu_time_millis_testing
62.59332300010101
usercpu_time_millis_testing
62.927151000167214
usercpu_time_millis_testing
62.39116400001876
usercpu_time_millis_testing
62.577931000078024
usercpu_time_millis_testing
63.53005899995878
usercpu_time_millis_training
408.8767139999163
usercpu_time_millis_training
408.0812209999749
usercpu_time_millis_training
408.2344789999297
usercpu_time_millis_training
406.59467000000404
usercpu_time_millis_training
414.3080179999288
usercpu_time_millis_training
409.1969210001025
usercpu_time_millis_training
408.81244999991395
usercpu_time_millis_training
410.73220699991
usercpu_time_millis_training
411.4117950000491
usercpu_time_millis_training
420.7136110001102
wall_clock_time_millis
472.4135398864746
wall_clock_time_millis
470.7932472229004
wall_clock_time_millis
471.07410430908203
wall_clock_time_millis
469.1815376281738
wall_clock_time_millis
477.1134853363037
wall_clock_time_millis
471.8024730682373
wall_clock_time_millis
471.77839279174805
wall_clock_time_millis
473.1478691101074
wall_clock_time_millis
474.00403022766113
wall_clock_time_millis
484.27748680114746
wall_clock_time_millis_testing
63.52400779724121
wall_clock_time_millis_testing
62.70885467529297
wall_clock_time_millis_testing
62.83688545227051
wall_clock_time_millis_testing
62.586307525634766
wall_clock_time_millis_testing
62.783002853393555
wall_clock_time_millis_testing
62.602996826171875
wall_clock_time_millis_testing
62.93606758117676
wall_clock_time_millis_testing
62.39962577819824
wall_clock_time_millis_testing
62.58845329284668
wall_clock_time_millis_testing
63.54165077209473
wall_clock_time_millis_training
408.8895320892334
wall_clock_time_millis_training
408.0843925476074
wall_clock_time_millis_training
408.2372188568115
wall_clock_time_millis_training
406.59523010253906
wall_clock_time_millis_training
414.33048248291016
wall_clock_time_millis_training
409.19947624206543
wall_clock_time_millis_training
408.8423252105713
wall_clock_time_millis_training
410.7482433319092
wall_clock_time_millis_training
411.41557693481445
wall_clock_time_millis_training
420.73583602905273