191416
2
Joaquin Vanschoren
2065
Supervised Classification
predictive_accuracy
1112
weka.LibLINEAR(1)
2017
weka.classifiers.functions.LibLINEAR -- -S 1 -C 1.0 -E 0.001 -B 1.0
S
1
1112
C
1.0
1112
E
0.001
1112
B
1.0
1112
study_1
weka
weka_3.7.12
171
primary-tumor
https://www.openml.org/data/download/3594/dataset_113_primary-tumor.arff
-1
632812
description
https://api.openml.org/data/download/632812/weka_generated_run6603334187432607935.xml
-1
632815
model_readable
https://api.openml.org/data/download/632815/WekaModel_weka.classifiers.functions.LibLINEAR6908459181261700157.model
-1
632814
model_serialized
https://api.openml.org/data/download/632814/WekaSerialized_weka.classifiers.functions.LibLINEAR6782618790624686500.model
-1
632813
predictions
https://api.openml.org/data/download/632813/weka_generated_predictions6109751456257366646.arff
area_under_roc_curve
0.70287 [0.792717,0.990596,0.498485,0.669341,0.575897,0.498521,0.495385,0.495495,0.0,0.497033,0.597669,0.693982,0.5,0.60119,0.497033,0.5,0.692401,0.840601,0.496997,0.495549,0.5,0.87996]
average_cost
0
f_measure
0.4328 [0.663212,0.869565,0,0.4,0.253968,0,0,0,0,0,0.269231,0.358974,0,0.266667,0,0,0.421053,0.586667,0,0,0,0.716981]
kappa
0.402331
kb_relative_information_score
131.464025
mean_absolute_error
0.047466
mean_prior_absolute_error
0.081209
number_of_instances
339 [84,20,9,14,39,1,14,6,0,2,28,16,7,24,2,1,10,29,6,2,1,24]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.407082 [0.587156,0.769231,0,0.454545,0.333333,0,0,0,0,0,0.291667,0.304348,0,0.285714,0,0,0.444444,0.478261,0,0,0,0.655172]
predictive_accuracy
0.477876
prior_entropy
3.754223
recall
0.477876 [0.761905,1,0,0.357143,0.205128,0,0,0,0,0,0.25,0.4375,0,0.25,0,0,0.4,0.758621,0,0,0,0.791667]
relative_absolute_error
0.58449
root_mean_prior_squared_error
0.201084
root_mean_squared_error
0.217866
root_relative_squared_error
1.083459
scimark_benchmark
916.93558 [487.21806624910295, 1011.7904963405887, 488.5085213342302, 898.9849449421491, 1698.1758713219672]
total_cost
0
usercpu_time_millis
110
usercpu_time_millis_testing
10
usercpu_time_millis_training
100
area_under_roc_curve
0.696057 [0.716346,1,0.5,0.484375,0.591667,0.0,0.469697,0.0,0.0,0.5,0.784946,0.5,0.5,0.484375,0.0,0.0,0.5,0.983871,0.0,0.0,0.0,0.951613]
area_under_roc_curve
0.714398 [0.822115,1,0.484848,0.75,0.625,0.0,0.5,0.0,0.0,0.5,0.451613,0.969697,0.5,0.5,0.0,0.0,1,0.634409,0.0,0.5,0.0,1]
area_under_roc_curve
0.670112 [0.653846,0.953125,0.5,0.484375,0.716667,0.0,0.484848,0.5,0.0,0.0,0.5,0.969697,0.5,0.484375,0.0,0.5,0.984848,0.650538,0.0,0.5,0.0,0.983871]
area_under_roc_curve
0.705213 [0.860577,0.96875,0.5,0.734375,0.5,0.5,0.5,0.484848,0.0,0.0,0.71875,0.469697,0.5,0.453125,0.5,0.0,0.484848,0.801075,0.0,0.0,0.0,1]
area_under_roc_curve
0.724525 [0.793333,0.984375,0.5,0.984848,0.5,0.0,0.5,0.5,0.0,0.0,0.467742,0.984848,0.5,0.9375,0.484848,0.0,1,0.951613,0.5,0.0,0.0,0.71875]
area_under_roc_curve
0.68595 [0.86,1,0.5,0.469697,0.716667,0.0,0.5,0.5,0.0,0.0,0.467742,0.453125,0.0,0.5,0.0,0.0,0.484848,0.817204,0.5,0.0,0.0,0.75]
area_under_roc_curve
0.69465 [0.733333,1,0.5,0.5,0.467742,0.0,0.5,0.484848,0.0,0.0,0.650538,0.734375,0.0,0.650538,0.0,0.0,1,0.919355,0.5,0.0,0.0,0.75]
area_under_roc_curve
0.706227 [0.848889,1,0.0,1,0.591667,0.0,0.5,0.5,0.0,0.0,0.483871,0.6875,0.0,0.61828,0.0,0.0,0.5,0.784946,0.5,0.0,0.0,0.734375]
area_under_roc_curve
0.716139 [0.798077,1,0.5,1,0.558333,0.0,0.5,0.0,0.0,0.0,0.650538,0.75,0.5,0.801075,0.0,0.0,0.469697,0.96875,0.5,0.0,0.5,0.734375]
area_under_roc_curve
0.71713 [0.8375,1,0.5,0.5,0.465517,0.0,0.5,0.0,0.0,0.0,0.8,0.733871,0.5,0.5,0.0,0.0,0.5,0.933333,0.5,0.0,0.0,0.967742]
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
0.401727 [0.555556,1,0,0,0.285714,0,0,0,0,0,0.5,0,0,0,0,0,0,0.857143,0,0,0,0.666667]
f_measure
0.463725 [0.666667,1,0,0.666667,0.4,0,0,0,0,0,0,0.5,0,0,0,0,1,0.333333,0,0,0,1]
f_measure
0.348402 [0.470588,0.571429,0,0,0.5,0,0,0,0,0,0,0.5,0,0,0,0,0.666667,0.4,0,0,0,0.857143]
f_measure
0.404187 [0.736842,0.666667,0,0.5,0,0,0,0,0,0,0.4,0,0,0,0,0,0,0.571429,0,0,0,1]
f_measure
0.414302 [0.705882,0.8,0,0.666667,0,0,0,0,0,0,0,0.666667,0,0.5,0,0,1,0.666667,0,0,0,0.4]
f_measure
0.406275 [0.72,1,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0.666667]
f_measure
0.434403 [0.6,1,0,0,0,0,0,0,0,0,0.4,0.5,0,0.4,0,0,1,0.545455,0,0,0,0.666667]
f_measure
0.443277 [0.777778,1,0,1,0.285714,0,0,0,0,0,0,0.285714,0,0.285714,0,0,0,0.5,0,0,0,0.5]
f_measure
0.464799 [0.666667,1,0,1,0.222222,0,0,0,0,0,0.4,0.666667,0,0.571429,0,0,0,0.666667,0,0,0,0.5]
f_measure
0.407504 [0.7,1,0,0,0,0,0,0,0,0,0.571429,0.5,0,0,0,0,0,0.6,0,0,0,0.666667]
kappa
0.393459
kappa
0.427723
kappa
0.339806
kappa
0.399411
kappa
0.438835
kappa
0.36646
kappa
0.389831
kappa
0.39645
kappa
0.431662
kappa
0.435897
kb_relative_information_score
13.041687
kb_relative_information_score
14.178737
kb_relative_information_score
11.879557
kb_relative_information_score
12.758206
kb_relative_information_score
14.536758
kb_relative_information_score
11.39022
kb_relative_information_score
13.240192
kb_relative_information_score
12.65007
kb_relative_information_score
14.168442
kb_relative_information_score
13.620156
mean_absolute_error
0.048128
mean_absolute_error
0.045455
mean_absolute_error
0.053476
mean_absolute_error
0.048128
mean_absolute_error
0.045455
mean_absolute_error
0.048128
mean_absolute_error
0.048128
mean_absolute_error
0.048128
mean_absolute_error
0.045455
mean_absolute_error
0.044077
mean_prior_absolute_error
0.081317
mean_prior_absolute_error
0.081421
mean_prior_absolute_error
0.081592
mean_prior_absolute_error
0.081592
mean_prior_absolute_error
0.081006
mean_prior_absolute_error
0.080851
mean_prior_absolute_error
0.080962
mean_prior_absolute_error
0.08074
mean_prior_absolute_error
0.081495
mean_prior_absolute_error
0.081111
number_of_instances
34 [8,2,1,2,4,0,1,0,0,1,3,2,1,2,0,0,1,3,0,0,0,3]
number_of_instances
34 [8,2,1,2,4,0,1,0,0,1,3,1,1,2,0,0,1,3,0,1,0,3]
number_of_instances
34 [8,2,1,2,4,0,1,1,0,0,2,1,1,2,0,1,1,3,0,1,0,3]
number_of_instances
34 [8,2,1,2,4,1,1,1,0,0,2,1,1,2,1,0,1,3,0,0,0,3]
number_of_instances
34 [9,2,1,1,4,0,1,1,0,0,3,1,1,2,1,0,1,3,1,0,0,2]
number_of_instances
34 [9,2,1,1,4,0,2,1,0,0,3,2,0,2,0,0,1,3,1,0,0,2]
number_of_instances
34 [9,2,1,1,3,0,2,1,0,0,3,2,0,3,0,0,1,3,1,0,0,2]
number_of_instances
34 [9,2,0,1,4,0,2,1,0,0,3,2,0,3,0,0,1,3,1,0,0,2]
number_of_instances
34 [8,2,1,1,4,0,2,0,0,0,3,2,1,3,0,0,1,2,1,0,1,2]
number_of_instances
33 [8,2,1,1,4,0,1,0,0,0,3,2,1,3,0,0,1,3,1,0,0,2]
precision
0.361275 [0.5,1,0,0,0.333333,0,0,0,0,0,0.4,0,0,0,0,0,0,0.75,0,0,0,0.5]
precision
0.518854 [0.538462,1,0,1,1,0,0,0,0,0,0,0.333333,0,0,0,0,1,0.333333,0,0,0,1]
precision
0.321732 [0.444444,0.4,0,0,0.5,0,0,0,0,0,0,0.333333,0,0,0,0,0.5,0.5,0,0,0,0.75]
precision
0.360517 [0.636364,0.5,0,0.5,0,0,0,0,0,0,0.333333,0,0,0,0,0,0,0.5,0,0,0,1]
precision
0.379902 [0.75,0.666667,0,0.5,0,0,0,0,0,0,0,0.5,0,0.333333,0,0,1,0.5,0,0,0,0.333333]
precision
0.384191 [0.5625,1,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,1]
precision
0.442179 [0.545455,1,0,0,0,0,0,0,0,0,0.5,0.5,0,0.5,0,0,1,0.375,0,0,0,1]
precision
0.431863 [0.777778,1,0,1,0.333333,0,0,0,0,0,0,0.2,0,0.25,0,0,0,0.4,0,0,0,0.5]
precision
0.458824 [0.6,1,0,1,0.2,0,0,0,0,0,0.5,1,0,0.5,0,0,0,0.5,0,0,0,0.5]
precision
0.347042 [0.583333,1,0,0,0,0,0,0,0,0,0.5,0.5,0,0,0,0,0,0.428571,0,0,0,0.5]
predictive_accuracy
0.470588
predictive_accuracy
0.5
predictive_accuracy
0.411765
predictive_accuracy
0.470588
predictive_accuracy
0.5
predictive_accuracy
0.470588
predictive_accuracy
0.470588
predictive_accuracy
0.470588
predictive_accuracy
0.5
predictive_accuracy
0.515152
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
recall
0.470588 [0.625,1,0,0,0.25,0,0,0,0,0,0.666667,0,0,0,0,0,0,1,0,0,0,1]
recall
0.5 [0.875,1,0,0.5,0.25,0,0,0,0,0,0,1,0,0,0,0,1,0.333333,0,0,0,1]
recall
0.411765 [0.5,1,0,0,0.5,0,0,0,0,0,0,1,0,0,0,0,1,0.333333,0,0,0,1]
recall
0.470588 [0.875,1,0,0.5,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0.666667,0,0,0,1]
recall
0.5 [0.666667,1,0,1,0,0,0,0,0,0,0,1,0,1,0,0,1,1,0,0,0,0.5]
recall
0.470588 [1,1,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0.5]
recall
0.470588 [0.666667,1,0,0,0,0,0,0,0,0,0.333333,0.5,0,0.333333,0,0,1,1,0,0,0,0.5]
recall
0.470588 [0.777778,1,0,1,0.25,0,0,0,0,0,0,0.5,0,0.333333,0,0,0,0.666667,0,0,0,0.5]
recall
0.5 [0.75,1,0,1,0.25,0,0,0,0,0,0.333333,0.5,0,0.666667,0,0,0,1,0,0,0,0.5]
recall
0.515152 [0.875,1,0,0,0,0,0,0,0,0,0.666667,0.5,0,0,0,0,0,1,0,0,0,1]
relative_absolute_error
0.591857
relative_absolute_error
0.558264
relative_absolute_error
0.65541
relative_absolute_error
0.589869
relative_absolute_error
0.561123
relative_absolute_error
0.595273
relative_absolute_error
0.594456
relative_absolute_error
0.596092
relative_absolute_error
0.557757
relative_absolute_error
0.543419
root_mean_prior_squared_error
0.201354
root_mean_prior_squared_error
0.201611
root_mean_prior_squared_error
0.202033
root_mean_prior_squared_error
0.202033
root_mean_prior_squared_error
0.20058
root_mean_prior_squared_error
0.200192
root_mean_prior_squared_error
0.200469
root_mean_prior_squared_error
0.199914
root_mean_prior_squared_error
0.201795
root_mean_prior_squared_error
0.20084
root_mean_squared_error
0.219382
root_mean_squared_error
0.213201
root_mean_squared_error
0.231249
root_mean_squared_error
0.219382
root_mean_squared_error
0.213201
root_mean_squared_error
0.219382
root_mean_squared_error
0.219382
root_mean_squared_error
0.219382
root_mean_squared_error
0.213201
root_mean_squared_error
0.209946
root_relative_squared_error
1.089534
root_relative_squared_error
1.057485
root_relative_squared_error
1.144607
root_relative_squared_error
1.08587
root_relative_squared_error
1.062922
root_relative_squared_error
1.095858
root_relative_squared_error
1.094342
root_relative_squared_error
1.09738
root_relative_squared_error
1.056523
root_relative_squared_error
1.045338
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
90
usercpu_time_millis
90
usercpu_time_millis
90
usercpu_time_millis
90
usercpu_time_millis
90
usercpu_time_millis
90
usercpu_time_millis
100
usercpu_time_millis
90
usercpu_time_millis
90
usercpu_time_millis
100
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
100
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
100