Task
Supervised Classification on jEdit_4.2_4.3

Supervised Classification on jEdit_4.2_4.3

Task 3901 Supervised Classification jEdit_4.2_4.3 568 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5919, kappa: 0.201, kb_relative_information_score: 51.3881, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6125, predictive_accuracy: 0.5935, prior_entropy: 0.992, recall: 0.5935, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0471, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6257, kappa: 0.2616, kb_relative_information_score: 46.9296, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6418, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9911, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6257, kappa: 0.2616, kb_relative_information_score: 46.9296, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6418, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9911, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6876, kappa: 0.3671, kb_relative_information_score: 87.9498, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6873, predictive_accuracy: 0.6883, prior_entropy: 0.992, recall: 0.6883, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9273, scimark_benchmark: 1352.1128, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6257, kappa: 0.2616, kb_relative_information_score: 46.9296, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6418, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9911, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6257, kappa: 0.2616, kb_relative_information_score: 46.9296, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6418, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9911, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5919, kappa: 0.201, kb_relative_information_score: 51.3881, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6125, predictive_accuracy: 0.5935, prior_entropy: 0.992, recall: 0.5935, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0471, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5919, kappa: 0.201, kb_relative_information_score: 51.3881, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6125, predictive_accuracy: 0.5935, prior_entropy: 0.992, recall: 0.5935, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0471, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6257, kappa: 0.2616, kb_relative_information_score: 46.9296, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6418, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9911, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6876, kappa: 0.3671, kb_relative_information_score: 87.9498, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6873, predictive_accuracy: 0.6883, prior_entropy: 0.992, recall: 0.6883, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9273, scimark_benchmark: 1354.7191, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.6416, kappa: 0.2739, kb_relative_information_score: 48.2037, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6412, predictive_accuracy: 0.6423, prior_entropy: 0.992, recall: 0.6423, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9621, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.6295, kappa: 0.253, kb_relative_information_score: 80.1891, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.631, predictive_accuracy: 0.6287, prior_entropy: 0.992, recall: 0.6287, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5322, root_relative_squared_error: 1.0704, scimark_benchmark: 1328.941, usercpu_time_millis: 610, usercpu_time_millis_testing: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.6325, kappa: 0.2639, kb_relative_information_score: 53.7063, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.638, predictive_accuracy: 0.6314, prior_entropy: 0.992, recall: 0.6314, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9422, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.6736, kappa: 0.3384, kb_relative_information_score: 55.5559, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6734, predictive_accuracy: 0.6748, prior_entropy: 0.992, recall: 0.6748, relative_absolute_error: 0.8742, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9215, scimark_benchmark: 1308.0332, usercpu_time_millis: 210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.6481, kappa: 0.2891, kb_relative_information_score: 67.2459, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6486, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9841, scimark_benchmark: 1311.9814, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.6899, kappa: 0.3715, kb_relative_information_score: 56.1857, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6898, predictive_accuracy: 0.6911, prior_entropy: 0.992, recall: 0.6911, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9201, scimark_benchmark: 1352.2099, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.4571, kappa: -0.0372, kb_relative_information_score: -31.3876, mean_absolute_error: 0.5339, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.4842, predictive_accuracy: 0.4661, prior_entropy: 0.992, recall: 0.4661, relative_absolute_error: 1.0797, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4696, scimark_benchmark: 1327.035, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.5622, kappa: 0.1232, kb_relative_information_score: 25.7456, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5674, predictive_accuracy: 0.561, prior_entropy: 0.992, recall: 0.561, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0133, scimark_benchmark: 1349.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.6403, kappa: 0.2748, kb_relative_information_score: 77.8074, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6418, predictive_accuracy: 0.6396, prior_entropy: 0.992, recall: 0.6396, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.983, scimark_benchmark: 1337.5749, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.6644, kappa: 0.3227, kb_relative_information_score: 78.9708, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6653, predictive_accuracy: 0.664, prior_entropy: 0.992, recall: 0.664, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9554, scimark_benchmark: 1327.3684, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.6325, kappa: 0.2639, kb_relative_information_score: 53.7063, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.638, predictive_accuracy: 0.6314, prior_entropy: 0.992, recall: 0.6314, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9422, scimark_benchmark: 1168.3268, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.5967, kappa: 0.1856, kb_relative_information_score: 66.1609, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5974, predictive_accuracy: 0.5962, prior_entropy: 0.992, recall: 0.5962, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6354, root_relative_squared_error: 1.2781, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.6963, kappa: 0.3854, kb_relative_information_score: 66.2272, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6961, predictive_accuracy: 0.6965, prior_entropy: 0.992, recall: 0.6965, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.949, scimark_benchmark: 1314.0383, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.6083, kappa: 0.2061, kb_relative_information_score: 60.2722, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6078, predictive_accuracy: 0.6098, prior_entropy: 0.992, recall: 0.6098, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1181, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.6416, kappa: 0.2739, kb_relative_information_score: 48.2037, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6412, predictive_accuracy: 0.6423, prior_entropy: 0.992, recall: 0.6423, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9621, scimark_benchmark: 1317.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6198, kappa: 0.2299, kb_relative_information_score: 42.0117, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6194, predictive_accuracy: 0.6206, prior_entropy: 0.992, recall: 0.6206, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9676, scimark_benchmark: 1351.788, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6402, kappa: 0.2739, kb_relative_information_score: 30.3312, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6412, predictive_accuracy: 0.6396, prior_entropy: 0.992, recall: 0.6396, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9704, scimark_benchmark: 1284.2094, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.6878, kappa: 0.3678, kb_relative_information_score: 135.2577, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6876, predictive_accuracy: 0.6883, prior_entropy: 0.992, recall: 0.6883, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5583, root_relative_squared_error: 1.1228, scimark_benchmark: 889.3151, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.4148, kappa: 0.0159, kb_relative_information_score: -3.3426, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6057, predictive_accuracy: 0.5583, prior_entropy: 0.992, recall: 0.5583, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0007, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6447, kappa: 0.2807, kb_relative_information_score: 49.6413, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6444, predictive_accuracy: 0.645, prior_entropy: 0.992, recall: 0.645, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9735, scimark_benchmark: 1268.9931, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.6325, kappa: 0.2639, kb_relative_information_score: 53.7063, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.638, predictive_accuracy: 0.6314, prior_entropy: 0.992, recall: 0.6314, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9422, scimark_benchmark: 1305.7138, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.6518, kappa: 0.2943, kb_relative_information_score: 112.494, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6515, predictive_accuracy: 0.6531, prior_entropy: 0.992, recall: 0.6531, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.556, root_relative_squared_error: 1.1183, scimark_benchmark: 1305.7138, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.6845, kappa: 0.3605, kb_relative_information_score: 55.7827, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6843, predictive_accuracy: 0.6856, prior_entropy: 0.992, recall: 0.6856, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9208, scimark_benchmark: 1328.8457, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.6858, kappa: 0.3649, kb_relative_information_score: 75.4079, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.686, predictive_accuracy: 0.6856, prior_entropy: 0.992, recall: 0.6856, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9427, scimark_benchmark: 1310.6407, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.6933, kappa: 0.3788, kb_relative_information_score: 75.4718, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.693, predictive_accuracy: 0.6938, prior_entropy: 0.992, recall: 0.6938, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.912, scimark_benchmark: 1307.3764, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.5622, kappa: 0.1232, kb_relative_information_score: 25.7456, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5674, predictive_accuracy: 0.561, prior_entropy: 0.992, recall: 0.561, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0133, scimark_benchmark: 1317.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.6416, kappa: 0.2739, kb_relative_information_score: 48.2037, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6412, predictive_accuracy: 0.6423, prior_entropy: 0.992, recall: 0.6423, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9621, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, f_measure: 0.4755, kappa: 0.1243, kb_relative_information_score: 21.9534, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6347, predictive_accuracy: 0.5312, prior_entropy: 0.992, recall: 0.5312, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6431, root_relative_squared_error: 1.2934, scimark_benchmark: 1339.944,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.6295, kappa: 0.253, kb_relative_information_score: 39.5822, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.631, predictive_accuracy: 0.6287, prior_entropy: 0.992, recall: 0.6287, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.957, scimark_benchmark: 1313.9606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6373, kappa: 0.2797, kb_relative_information_score: 45.584, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6487, predictive_accuracy: 0.6369, prior_entropy: 0.992, recall: 0.6369, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9767, scimark_benchmark: 934.0566, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6257, kappa: 0.2616, kb_relative_information_score: 46.9296, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6418, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9911, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.6618, kappa: 0.3176, kb_relative_information_score: 72.7946, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6628, predictive_accuracy: 0.6612, prior_entropy: 0.992, recall: 0.6612, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9825, scimark_benchmark: 874.0917, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6876, kappa: 0.3671, kb_relative_information_score: 87.9498, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6873, predictive_accuracy: 0.6883, prior_entropy: 0.992, recall: 0.6883, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9273, scimark_benchmark: 1066.7184, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.6015, kappa: 0.1938, kb_relative_information_score: 70.2254, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6014, predictive_accuracy: 0.6016, prior_entropy: 0.992, recall: 0.6016, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2694, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.6529, kappa: 0.2976, kb_relative_information_score: 65.1516, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6527, predictive_accuracy: 0.6531, prior_entropy: 0.992, recall: 0.6531, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9848, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6756, kappa: 0.3468, kb_relative_information_score: 76.1164, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6778, predictive_accuracy: 0.6748, prior_entropy: 0.992, recall: 0.6748, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9654, scimark_benchmark: 1355.7054, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.5884, kappa: 0.1839, kb_relative_information_score: 60.0641, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6, predictive_accuracy: 0.5881, prior_entropy: 0.992, recall: 0.5881, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6418, root_relative_squared_error: 1.2909, scimark_benchmark: 1341.5768, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.4652, kappa: 0.0373, kb_relative_information_score: 39.7415, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.556, predictive_accuracy: 0.561, prior_entropy: 0.992, recall: 0.561, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6626, root_relative_squared_error: 1.3326, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.6513, kappa: 0.299, kb_relative_information_score: 75.5831, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6544, predictive_accuracy: 0.6504, prior_entropy: 0.992, recall: 0.6504, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9618, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, f_measure: 0.5392, kappa: 0.0655, kb_relative_information_score: 25.5157, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5382, predictive_accuracy: 0.542, prior_entropy: 0.992, recall: 0.542, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6768, root_relative_squared_error: 1.3611, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.6449, kappa: 0.2815, kb_relative_information_score: 102.7416, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6448, predictive_accuracy: 0.645, prior_entropy: 0.992, recall: 0.645, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.1984, scimark_benchmark: 1464.9318, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.3936, kb_relative_information_score: -0.0596, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.3056, predictive_accuracy: 0.5528, prior_entropy: 0.992, recall: 0.5528, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0001, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6753, kappa: 0.3445, kb_relative_information_score: 77.0973, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6761, predictive_accuracy: 0.6748, prior_entropy: 0.992, recall: 0.6748, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9997, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 16.3532, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5709, root_relative_squared_error: 1.1481, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 14.8132, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.1476, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 14.8132, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.1476, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 14.8132, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.1476, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 14.8132, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.1476, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.669, kappa: 0.3286, kb_relative_information_score: 96.1701, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6703, predictive_accuracy: 0.6721, prior_entropy: 0.992, recall: 0.6721, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0065, scimark_benchmark: 936.7115, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6615, kappa: 0.316, kb_relative_information_score: 89.6249, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6619, predictive_accuracy: 0.6612, prior_entropy: 0.992, recall: 0.6612, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0149, scimark_benchmark: 876.8277, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.642, kappa: 0.274, kb_relative_information_score: 76.5357, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6426, predictive_accuracy: 0.645, prior_entropy: 0.992, recall: 0.645, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0077, scimark_benchmark: 936.6206, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.618, kappa: 0.2276, kb_relative_information_score: 65.4823, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6181, predictive_accuracy: 0.6179, prior_entropy: 0.992, recall: 0.6179, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0305, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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