OpenML
Supervised Classification on fri_c1_250_25

Supervised Classification on fri_c1_250_25

Task 3612 Supervised Classification fri_c1_250_25 558 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4163, kb_relative_information_score: -0.093, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8556, kappa: 0.7045, kb_relative_information_score: 175.7773, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8557, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7045, scimark_benchmark: 936.1714, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8441, kappa: 0.6818, kb_relative_information_score: 171.7618, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7055, scimark_benchmark: 935.6052, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8119, kappa: 0.6156, kb_relative_information_score: 150.5235, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8118, predictive_accuracy: 0.812, prior_entropy: 0.9852, recall: 0.812, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7725, scimark_benchmark: 940.0055, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7644, kappa: 0.5197, kb_relative_information_score: 110.4495, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.765, predictive_accuracy: 0.764, prior_entropy: 0.9852, recall: 0.764, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.9, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7126, kappa: 0.4146, kb_relative_information_score: 91.7756, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9852, recall: 0.712, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9738, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4163, kb_relative_information_score: 29.5006, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8593, kappa: 0.7117, kb_relative_information_score: 174.0454, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7238, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8632, kappa: 0.7196, kb_relative_information_score: 67.4359, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8642, predictive_accuracy: 0.864, prior_entropy: 0.9852, recall: 0.864, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.807, scimark_benchmark: 923.7471, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.6123, kappa: 0.2042, kb_relative_information_score: 19.3604, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6136, predictive_accuracy: 0.62, prior_entropy: 0.9852, recall: 0.62, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9633, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8439, kappa: 0.681, kb_relative_information_score: 150.1078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7213, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8517, kappa: 0.6967, kb_relative_information_score: 132.9376, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7064, scimark_benchmark: 926.4745, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.84, kappa: 0.6732, kb_relative_information_score: 148.7058, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9852, recall: 0.84, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7152, scimark_benchmark: 906.0884, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.6099, kappa: 0.202, kb_relative_information_score: 56.2829, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6172, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2393, scimark_benchmark: 928.8135, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 144.8221, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6312, scimark_benchmark: 946.9304, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.5881, kappa: 0.1548, kb_relative_information_score: 31.6943, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5869, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0287, scimark_benchmark: 942.3809, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8478, kappa: 0.6888, kb_relative_information_score: 157.0707, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8477, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6899, scimark_benchmark: 928.8135, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 100.799, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7113, scimark_benchmark: 946.9304, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8439, kappa: 0.681, kb_relative_information_score: 150.1078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7213, scimark_benchmark: 901.8743, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.6099, kappa: 0.202, kb_relative_information_score: 56.2829, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6172, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2393, scimark_benchmark: 1354.1768, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 134.6709, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7411, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8478, kappa: 0.6888, kb_relative_information_score: 157.0707, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8477, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6899, scimark_benchmark: 1327.5842, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8478, kappa: 0.6888, kb_relative_information_score: 157.0707, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8477, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6899, scimark_benchmark: 1318.6467, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 100.799, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7113, scimark_benchmark: 1322.5413, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8439, kappa: 0.681, kb_relative_information_score: 150.1078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7213, scimark_benchmark: 1340.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 144.8221, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6312, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 134.6709, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7411, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 134.6709, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7411, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 144.8221, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6312, scimark_benchmark: 1349.1517, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8439, kappa: 0.681, kb_relative_information_score: 150.1078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7213, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8517, kappa: 0.6967, kb_relative_information_score: 132.9376, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7064, scimark_benchmark: 1336.0954, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8439, kappa: 0.681, kb_relative_information_score: 150.1078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7213, scimark_benchmark: 1296.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 134.6709, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7411, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 144.8221, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6312, scimark_benchmark: 1324.6442, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8439, kappa: 0.681, kb_relative_information_score: 150.1078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7213, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 134.6709, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7411, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.5881, kappa: 0.1548, kb_relative_information_score: 31.6943, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5869, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0287, scimark_benchmark: 1343.3311, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8439, kappa: 0.681, kb_relative_information_score: 150.1078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7213, scimark_benchmark: 1385.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.84, kappa: 0.6732, kb_relative_information_score: 148.7058, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9852, recall: 0.84, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7152, scimark_benchmark: 1358.6198, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 134.6709, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7411, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.84, kappa: 0.6732, kb_relative_information_score: 148.7058, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9852, recall: 0.84, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7152, scimark_benchmark: 1337.4384, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8244, kappa: 0.6422, kb_relative_information_score: 157.196, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8252, predictive_accuracy: 0.824, prior_entropy: 0.9852, recall: 0.824, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7845, scimark_benchmark: 1346.2927, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.6099, kappa: 0.202, kb_relative_information_score: 56.2829, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6172, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2393, scimark_benchmark: 1325.6322, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 134.6709, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7411, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1335.2021, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 144.8221, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6312, scimark_benchmark: 1299.6719, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8478, kappa: 0.6888, kb_relative_information_score: 157.0707, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8477, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6899, scimark_benchmark: 1321.4561, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 100.799, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7113, scimark_benchmark: 1313.8988, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8439, kappa: 0.681, kb_relative_information_score: 150.1078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7213, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7651, kappa: 0.5253, kb_relative_information_score: 119.6008, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7704, predictive_accuracy: 0.764, prior_entropy: 0.9852, recall: 0.764, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9279, scimark_benchmark: 1360.0477, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.6099, kappa: 0.202, kb_relative_information_score: 56.2829, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6172, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2393, scimark_benchmark: 1325.6322, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8478, kappa: 0.6888, kb_relative_information_score: 157.0707, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8477, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6899, scimark_benchmark: 1341.3551, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 100.799, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7113, scimark_benchmark: 1360.6367, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 100.799, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7113, scimark_benchmark: 1281.7531, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8439, kappa: 0.681, kb_relative_information_score: 150.1078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7213, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.5881, kappa: 0.1548, kb_relative_information_score: 31.6943, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5869, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0287, scimark_benchmark: 1347.5461, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 134.6709, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7411, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 918.0213,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8439, kappa: 0.681, kb_relative_information_score: 150.1078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7213, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.6099, kappa: 0.202, kb_relative_information_score: 56.2829, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6172, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2393, scimark_benchmark: 926.6704, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 144.8221, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6312, scimark_benchmark: 1322.7383, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 134.6709, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7411, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 1343.2125,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs