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Supervised Classification on fri_c4_250_50

Supervised Classification on fri_c4_250_50

Task 3781 Supervised Classification fri_c4_250_50 600 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: 0.8501, f_measure: 0.7949, kappa: 0.5864, kb_relative_information_score: 138.7789, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7969, predictive_accuracy: 0.796, prior_entropy: 0.9955, recall: 0.796, relative_absolute_error: 0.4525, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8352, scimark_benchmark: 935.6052, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7915, kappa: 0.5797, kb_relative_information_score: 134.7986, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7919, predictive_accuracy: 0.792, prior_entropy: 0.9955, recall: 0.792, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8387, scimark_benchmark: 894.7131, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.776, kappa: 0.5491, kb_relative_information_score: 122.3797, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 0.9955, recall: 0.776, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.837, scimark_benchmark: 929.0296, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.7956, kappa: 0.588, kb_relative_information_score: 123.2566, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7958, predictive_accuracy: 0.796, prior_entropy: 0.9955, recall: 0.796, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7598, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.3787, kb_relative_information_score: -0.0764, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8155, kappa: 0.6282, kb_relative_information_score: 156.3219, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9955, recall: 0.816, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.798, scimark_benchmark: 936.1714, usercpu_time_millis: 730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8237, kappa: 0.6448, kb_relative_information_score: 152.8325, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9955, recall: 0.824, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8082, scimark_benchmark: 936.1714, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.7919, kappa: 0.5808, kb_relative_information_score: 146.0527, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7918, predictive_accuracy: 0.792, prior_entropy: 0.9955, recall: 0.792, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8121, scimark_benchmark: 936.1714, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7715, kappa: 0.5396, kb_relative_information_score: 126.9752, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7717, predictive_accuracy: 0.772, prior_entropy: 0.9955, recall: 0.772, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8693, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7358, kappa: 0.4679, kb_relative_information_score: 110.3821, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7357, predictive_accuracy: 0.736, prior_entropy: 0.9955, recall: 0.736, relative_absolute_error: 0.5645, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9205, scimark_benchmark: 935.6052, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7754, kappa: 0.5474, kb_relative_information_score: 136.3338, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7758, predictive_accuracy: 0.776, prior_entropy: 0.9955, recall: 0.776, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9262, scimark_benchmark: 942.6192, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.7912, kappa: 0.5792, kb_relative_information_score: 68.217, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7921, predictive_accuracy: 0.792, prior_entropy: 0.9955, recall: 0.792, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8173, scimark_benchmark: 923.7471, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.5992, kappa: 0.1965, kb_relative_information_score: 16.8758, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6062, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9751, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7835, kappa: 0.5635, kb_relative_information_score: 104.2526, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8064, scimark_benchmark: 926.4745, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.819, kappa: 0.6351, kb_relative_information_score: 137.361, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9955, recall: 0.82, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7599, scimark_benchmark: 934.929, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.6066, kappa: 0.2069, kb_relative_information_score: 52.1887, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6064, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2562, scimark_benchmark: 939.3886, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.808, kappa: 0.6135, kb_relative_information_score: 134.0872, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7735, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 945.0194, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 938.838, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7988, kappa: 0.5943, kb_relative_information_score: 103.9258, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 0.9955, recall: 0.8, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7628, scimark_benchmark: 922.5036, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.608, kappa: 0.211, kb_relative_information_score: 27.3145, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.608, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0514, scimark_benchmark: 922.5036, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 952.4682, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.8119, kappa: 0.6213, kb_relative_information_score: 135.163, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9955, recall: 0.812, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7977, scimark_benchmark: 928.8135, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8116, kappa: 0.6204, kb_relative_information_score: 68.145, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9955, recall: 0.812, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8166, scimark_benchmark: 949.7766, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 936.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.6066, kappa: 0.2069, kb_relative_information_score: 52.1887, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6064, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2562, scimark_benchmark: 1340.2044, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.6066, kappa: 0.2069, kb_relative_information_score: 52.1887, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6064, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2562, scimark_benchmark: 1322.0065, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7988, kappa: 0.5943, kb_relative_information_score: 103.9258, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 0.9955, recall: 0.8, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7628, scimark_benchmark: 1327.5842, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.808, kappa: 0.6135, kb_relative_information_score: 134.0872, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7735, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 926.6704, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.8119, kappa: 0.6213, kb_relative_information_score: 135.163, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9955, recall: 0.812, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7977, scimark_benchmark: 1318.6467, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7988, kappa: 0.5943, kb_relative_information_score: 103.9258, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 0.9955, recall: 0.8, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7628, scimark_benchmark: 1309.4998, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7835, kappa: 0.5635, kb_relative_information_score: 104.2526, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8064, scimark_benchmark: 1307.9497, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.819, kappa: 0.6351, kb_relative_information_score: 137.361, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9955, recall: 0.82, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7599, scimark_benchmark: 1307.9497, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.808, kappa: 0.6135, kb_relative_information_score: 134.0872, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7735, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1331.1314, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7988, kappa: 0.5943, kb_relative_information_score: 103.9258, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 0.9955, recall: 0.8, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7628, scimark_benchmark: 1339.4412, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.8119, kappa: 0.6213, kb_relative_information_score: 135.163, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9955, recall: 0.812, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7977, scimark_benchmark: 1338.5214, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8116, kappa: 0.6204, kb_relative_information_score: 68.145, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9955, recall: 0.812, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8166, scimark_benchmark: 1342.2845, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.819, kappa: 0.6351, kb_relative_information_score: 137.361, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9955, recall: 0.82, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7599, scimark_benchmark: 1339.3082, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8039, kappa: 0.6052, kb_relative_information_score: 118.2473, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8039, predictive_accuracy: 0.804, prior_entropy: 0.9955, recall: 0.804, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7804, scimark_benchmark: 1338.6772, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7988, kappa: 0.5943, kb_relative_information_score: 103.9258, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 0.9955, recall: 0.8, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7628, scimark_benchmark: 1322.2005, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 1362.1309, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.8119, kappa: 0.6213, kb_relative_information_score: 135.163, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9955, recall: 0.812, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7977, scimark_benchmark: 1336.5541, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.6066, kappa: 0.2069, kb_relative_information_score: 52.1887, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6064, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2562, scimark_benchmark: 1367.3112, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.808, kappa: 0.6135, kb_relative_information_score: 134.0872, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7735, scimark_benchmark: 1354.3488,

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

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From your own software

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

OpenML APIs