OpenML
Supervised Classification on sonar

Supervised Classification on sonar

Task 39 Supervised Classification sonar 915 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8743, kappa: 0.7472, kb_relative_information_score: 105.3268, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8777, predictive_accuracy: 0.875, prior_entropy: 0.9968, recall: 0.875, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6512, scimark_benchmark: 763.3895, usercpu_time_millis: 7820, usercpu_time_millis_testing: 3200, usercpu_time_millis_training: 4620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8646, kappa: 0.7278, kb_relative_information_score: 104.341, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.868, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6597, scimark_benchmark: 903.2737, usercpu_time_millis: 3510, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.841, kappa: 0.6802, kb_relative_information_score: 105.8922, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8416, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6514, scimark_benchmark: 944.235, usercpu_time_millis: 1810, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8309, kappa: 0.6599, kb_relative_information_score: 101.0381, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8333, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.69, scimark_benchmark: 911.2316, usercpu_time_millis: 1100, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8123, kappa: 0.6226, kb_relative_information_score: 96.5124, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8124, predictive_accuracy: 0.8125, prior_entropy: 0.9968, recall: 0.8125, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7175, scimark_benchmark: 936.7184, usercpu_time_millis: 350, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.7661, kappa: 0.5309, kb_relative_information_score: 115.1581, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7749, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8161, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.7661, kappa: 0.5309, kb_relative_information_score: 115.1581, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7749, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8161, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.7712, kappa: 0.5409, kb_relative_information_score: 116.4318, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7791, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.805, scimark_benchmark: 894.7131, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.742, kappa: 0.4823, kb_relative_information_score: 107.2588, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7492, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8406, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7493, kappa: 0.4958, kb_relative_information_score: 97.2554, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7499, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8474, scimark_benchmark: 929.0296, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8024, kappa: 0.6027, kb_relative_information_score: 127.0365, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8029, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8389, scimark_benchmark: 936.1714, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.7876, kappa: 0.5728, kb_relative_information_score: 122.3565, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7891, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8517, scimark_benchmark: 936.1714, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.7826, kappa: 0.5628, kb_relative_information_score: 119.4467, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7845, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8475, scimark_benchmark: 940.0055, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7329, kappa: 0.4635, kb_relative_information_score: 96.3548, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.738, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9548, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7128, kappa: 0.4237, kb_relative_information_score: 93.9859, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7192, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9662, 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: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8206, kappa: 0.6396, kb_relative_information_score: 92.5496, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8258, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7082, scimark_benchmark: 943.4741, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7094, kappa: 0.4159, kb_relative_information_score: 52.6384, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7121, predictive_accuracy: 0.7115, prior_entropy: 0.9968, recall: 0.7115, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8551, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7733, kappa: 0.5439, kb_relative_information_score: 93.2193, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7743, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7769, scimark_benchmark: 934.1885, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7493, kappa: 0.4958, kb_relative_information_score: 86.1999, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7499, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8857, scimark_benchmark: 898.5878, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.6159, kappa: 0.2773, kb_relative_information_score: 63.0594, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.711, predictive_accuracy: 0.6538, prior_entropy: 0.9968, recall: 0.6538, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.1794, scimark_benchmark: 928.8135, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.6159, kappa: 0.2773, kb_relative_information_score: 63.0594, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.711, predictive_accuracy: 0.6538, prior_entropy: 0.9968, recall: 0.6538, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.1794, scimark_benchmark: 922.5036, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 78.898, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7806, scimark_benchmark: 946.9304, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8648, kappa: 0.7281, kb_relative_information_score: 130.9809, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8669, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6097, scimark_benchmark: 879.4299, usercpu_time_millis: 460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 942.3809, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7589, kappa: 0.5152, kb_relative_information_score: 100.0833, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7595, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9298, scimark_benchmark: 928.8135, usercpu_time_millis: 1210, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 87.4946, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159, scimark_benchmark: 942.3809, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.4383, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9107, scimark_benchmark: 1327.5842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8648, kappa: 0.7281, kb_relative_information_score: 130.9809, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8669, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6097, scimark_benchmark: 1292.514, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 87.4946, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159, scimark_benchmark: 1323.2573, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.7958, kappa: 0.5901, kb_relative_information_score: 79.8383, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8033, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7603, scimark_benchmark: 1322.5413, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 1342.8632, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.4383, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9107, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 78.898, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7806, scimark_benchmark: 918.0213, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8648, kappa: 0.7281, kb_relative_information_score: 130.9809, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8669, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6097, scimark_benchmark: 1352.2099, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 87.4946, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159, scimark_benchmark: 1318.5627, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7443, kappa: 0.4857, kb_relative_information_score: 101.0323, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7451, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9899, scimark_benchmark: 1345.7204, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7362, kappa: 0.4715, kb_relative_information_score: 64.0983, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7463, predictive_accuracy: 0.7404, prior_entropy: 0.9968, recall: 0.7404, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8683, scimark_benchmark: 1308.3124, usercpu_time_millis: 910, usercpu_time_millis_testing: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7733, kappa: 0.5439, kb_relative_information_score: 93.2193, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7743, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7769, scimark_benchmark: 1328.941, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.6956, kappa: 0.3879, kb_relative_information_score: 81.1754, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6968, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5504, root_relative_squared_error: 1.1032, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.826, kappa: 0.65, kb_relative_information_score: 135.8276, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8289, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3457, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7648, scimark_benchmark: 917.9672, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.7022, kappa: 0.4027, kb_relative_information_score: 76.5428, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.703, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0202, scimark_benchmark: 1320.9026, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.7574, kappa: 0.5126, kb_relative_information_score: 71.5715, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7622, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7774, scimark_benchmark: 1347.5461, usercpu_time_millis: 430, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.7666, kappa: 0.5315, kb_relative_information_score: 71.63, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7734, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7785, scimark_benchmark: 1311.9814, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.7675, kappa: 0.5327, kb_relative_information_score: 72.4091, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7711, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7806, scimark_benchmark: 1347.5461, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7493, kappa: 0.4958, kb_relative_information_score: 86.1999, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7499, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8857, scimark_benchmark: 929.0363, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.7671, kappa: 0.5321, kb_relative_information_score: 71.9798, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7721, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7857, scimark_benchmark: 1319.6817, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.6968, kappa: 0.3903, kb_relative_information_score: 79.5386, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6967, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.0809, scimark_benchmark: 1314.9535, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7288, kappa: 0.4548, kb_relative_information_score: 102.2741, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7318, predictive_accuracy: 0.7308, prior_entropy: 0.9968, recall: 0.7308, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8622, scimark_benchmark: 854.5188, usercpu_time_millis: 510, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.7016, kappa: 0.4026, kb_relative_information_score: 50.7535, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7115, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9222, scimark_benchmark: 1168.3268, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7207, kappa: 0.4383, kb_relative_information_score: 75.8966, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7208, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9488, scimark_benchmark: 1337.0272, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7615, kappa: 0.5214, kb_relative_information_score: 77.229, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7691, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7716, scimark_benchmark: 1325.2932, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7404, kappa: 0.4784, kb_relative_information_score: 96.6279, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7404, predictive_accuracy: 0.7404, prior_entropy: 0.9968, recall: 0.7404, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9966, scimark_benchmark: 1353.2625, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 115.3944, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9427, scimark_benchmark: 1330.6247,

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