Task
Supervised Classification on ar1

Supervised Classification on ar1

Task 4614 Supervised Classification ar1 198 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.886, kappa: 0.0321, kb_relative_information_score: -230.6462, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8685, predictive_accuracy: 0.9083, prior_entropy: 0.4067, recall: 0.9083, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2633, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.886, kappa: 0.0321, kb_relative_information_score: -230.6462, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8685, predictive_accuracy: 0.9083, prior_entropy: 0.4067, recall: 0.9083, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2633, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, build_cpu_time: 0.0881, build_memory: 94227457.2826, f_measure: 0.8862, kappa: 0.022, kb_relative_information_score: -181.7324, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.867, predictive_accuracy: 0.9107, prior_entropy: 0.4067, recall: 0.9107, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.9861, scimark_benchmark: 935.5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, build_cpu_time: 0.1035, build_memory: 698645305.5537, f_measure: 0.888, kappa: 0.0283, kb_relative_information_score: -133.3097, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8691, predictive_accuracy: 0.9141, prior_entropy: 0.4067, recall: 0.9141, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.9815, scimark_benchmark: 936.6762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, build_cpu_time: 0.1178, build_memory: 128894102.9157, f_measure: 0.888, kappa: 0.0283, kb_relative_information_score: -133.3097, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8691, predictive_accuracy: 0.9141, prior_entropy: 0.4067, recall: 0.9141, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.9815, scimark_benchmark: 937.8146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, build_cpu_time: 0.2196, build_memory: 49942120.681, f_measure: 0.888, kappa: 0.0283, kb_relative_information_score: -133.0364, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8691, predictive_accuracy: 0.9141, prior_entropy: 0.4067, recall: 0.9141, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.9813, scimark_benchmark: 946.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, build_cpu_time: 0.5858, build_memory: 189501034.7967, f_measure: 0.8903, kappa: 0.0367, kb_relative_information_score: -203.9389, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8731, predictive_accuracy: 0.9182, prior_entropy: 0.4067, recall: 0.9182, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.9914, scimark_benchmark: 928.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, build_cpu_time: 0.218, build_memory: 1926529271.9471, f_measure: 0.8885, kappa: 0.0188, kb_relative_information_score: -189.9882, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8681, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.9902, scimark_benchmark: 942.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, build_cpu_time: 0.1743, build_memory: 1054885247.524, f_measure: 0.8861, kappa: 0.0431, kb_relative_information_score: 86.3657, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.87, predictive_accuracy: 0.9066, prior_entropy: 0.4067, recall: 0.9066, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.1426, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, build_cpu_time: 0.6373, build_memory: 948054929.1174, f_measure: 0.8857, kappa: 0.0416, kb_relative_information_score: 75.9494, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8697, predictive_accuracy: 0.9058, prior_entropy: 0.4067, recall: 0.9058, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3024, root_relative_squared_error: 1.152, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, build_cpu_time: 1.2314, build_memory: 2157078359.7488, f_measure: 0.8892, kappa: 0.0734, kb_relative_information_score: 94.7212, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8751, predictive_accuracy: 0.9083, prior_entropy: 0.4067, recall: 0.9083, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2982, root_relative_squared_error: 1.136, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 29.6778, build_memory: 73811620.8793, f_measure: 0.8928, kappa: 0.0676, kb_relative_information_score: -2312.1481, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8791, predictive_accuracy: 0.9182, prior_entropy: 0.4067, recall: 0.9182, relative_absolute_error: 1.4961, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2789, root_relative_squared_error: 1.0624, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.8897, kappa: 0.1499, kb_relative_information_score: -140.3999, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8835, predictive_accuracy: 0.8967, prior_entropy: 0.4067, recall: 0.8967, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3014, root_relative_squared_error: 1.1482, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: -45.4875, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2628, root_relative_squared_error: 1.0011, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.8807, kappa: -0.0301, kb_relative_information_score: 107.3429, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8555, predictive_accuracy: 0.9074, prior_entropy: 0.4067, recall: 0.9074, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.1591, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5171, f_measure: 0.888, kappa: 0.0496, kb_relative_information_score: 134.9493, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8718, predictive_accuracy: 0.9099, prior_entropy: 0.4067, recall: 0.9099, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.1435, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.8898, kappa: 0.1976, kb_relative_information_score: -132.7201, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8895, predictive_accuracy: 0.8901, prior_entropy: 0.4067, recall: 0.8901, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3074, root_relative_squared_error: 1.171, scimark_benchmark: 1337.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: 245.3745, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.0787, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.8802, kappa: -0.019, kb_relative_information_score: 70.5345, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8586, predictive_accuracy: 0.9041, prior_entropy: 0.4067, recall: 0.9041, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.1796, scimark_benchmark: 1341.5768, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.8878, kappa: -0.0079, kb_relative_information_score: -18.8224, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8565, predictive_accuracy: 0.9215, prior_entropy: 0.4067, recall: 0.9215, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2687, root_relative_squared_error: 1.0236, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.446, f_measure: 0.8878, kappa: -0.0079, kb_relative_information_score: -21.2253, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8565, predictive_accuracy: 0.9215, prior_entropy: 0.4067, recall: 0.9215, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2687, root_relative_squared_error: 1.0237, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, f_measure: 0.8773, kappa: 0.0718, kb_relative_information_score: -202.4381, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8723, predictive_accuracy: 0.8826, prior_entropy: 0.4067, recall: 0.8826, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3441, root_relative_squared_error: 1.3109, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8848, kappa: 0.0176, kb_relative_information_score: -456.4863, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8658, predictive_accuracy: 0.9083, prior_entropy: 0.4067, recall: 0.9083, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2733, root_relative_squared_error: 1.0414, scimark_benchmark: 1368.9272, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.879, kappa: -0.0345, kb_relative_information_score: -227.6428, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8553, predictive_accuracy: 0.9041, prior_entropy: 0.4067, recall: 0.9041, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.276, root_relative_squared_error: 1.0515, scimark_benchmark: 1304.6687, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.7892, kappa: 0.0038, kb_relative_information_score: -1825.0996, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8631, predictive_accuracy: 0.7339, prior_entropy: 0.4067, recall: 0.7339, relative_absolute_error: 1.8533, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.9653, scimark_benchmark: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.8874, kappa: -0.0094, kb_relative_information_score: -6127.1744, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9207, prior_entropy: 0.4067, recall: 0.9207, relative_absolute_error: 3.2767, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.4866, root_relative_squared_error: 1.8538, scimark_benchmark: 1333.5799, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: 245.3745, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.0787, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 309.7893, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 937.6212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.8831, kappa: 0.2053, kb_relative_information_score: -242.3371, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8911, predictive_accuracy: 0.876, prior_entropy: 0.4067, recall: 0.876, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3521, root_relative_squared_error: 1.3414, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8799, kappa: -0.0323, kb_relative_information_score: -327.6327, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8554, predictive_accuracy: 0.9058, prior_entropy: 0.4067, recall: 0.9058, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.9962, scimark_benchmark: 924.3698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.8895, kappa: -0.0016, kb_relative_information_score: -301.2851, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8567, predictive_accuracy: 0.9248, prior_entropy: 0.4067, recall: 0.9248, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.9613, scimark_benchmark: 933.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.8844, kappa: 0.0161, kb_relative_information_score: -205.4026, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8655, predictive_accuracy: 0.9074, prior_entropy: 0.4067, recall: 0.9074, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2775, root_relative_squared_error: 1.0573, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.8871, kappa: 0.0463, kb_relative_information_score: -55.1559, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8709, predictive_accuracy: 0.9083, prior_entropy: 0.4067, recall: 0.9083, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2797, root_relative_squared_error: 1.0655, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.8877, kappa: 0.0584, kb_relative_information_score: 1.545, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8726, predictive_accuracy: 0.9074, prior_entropy: 0.4067, recall: 0.9074, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2892, root_relative_squared_error: 1.1018, scimark_benchmark: 942.9518, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.8803, kappa: 0.0041, kb_relative_information_score: -62.0467, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.863, predictive_accuracy: 0.9, prior_entropy: 0.4067, recall: 0.9, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3035, root_relative_squared_error: 1.1564, scimark_benchmark: 916.6405, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.878, kappa: -0.002, kb_relative_information_score: -101.3338, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.862, predictive_accuracy: 0.8959, prior_entropy: 0.4067, recall: 0.8959, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.194, scimark_benchmark: 1321.9426, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4576, f_measure: 0.8798, kappa: -0.0202, kb_relative_information_score: -158.8337, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8584, predictive_accuracy: 0.9033, prior_entropy: 0.4067, recall: 0.9033, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2871, root_relative_squared_error: 1.0938, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.889, kappa: -0.0032, kb_relative_information_score: -237.3471, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8567, predictive_accuracy: 0.924, prior_entropy: 0.4067, recall: 0.924, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.9853, scimark_benchmark: 924.1296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.8748, kappa: -0.0444, kb_relative_information_score: -407.677, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8547, predictive_accuracy: 0.8959, prior_entropy: 0.4067, recall: 0.8959, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1264, scimark_benchmark: 1335.5424, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.8899, kb_relative_information_score: -25.4187, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2632, root_relative_squared_error: 1.0029, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.8899, kb_relative_information_score: -31.2442, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.263, root_relative_squared_error: 1.0018, scimark_benchmark: 1342.2985, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.8803, kappa: 0.0965, kb_relative_information_score: -168.0883, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8757, predictive_accuracy: 0.8851, prior_entropy: 0.4067, recall: 0.8851, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3402, root_relative_squared_error: 1.2959, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4772, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: -128.4895, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2863, root_relative_squared_error: 1.0909, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8842, kappa: 0.0749, kb_relative_information_score: -249.6549, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8734, predictive_accuracy: 0.8967, prior_entropy: 0.4067, recall: 0.8967, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.273, root_relative_squared_error: 1.0399, scimark_benchmark: 1349.7981, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.8773, kappa: 0.0878, kb_relative_information_score: -224.8881, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8744, predictive_accuracy: 0.8802, prior_entropy: 0.4067, recall: 0.8802, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3419, root_relative_squared_error: 1.3025, scimark_benchmark: 1384.4422, usercpu_time_millis: 280, usercpu_time_millis_testing: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.7892, kappa: 0.0038, kb_relative_information_score: -1825.0996, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8631, predictive_accuracy: 0.7339, prior_entropy: 0.4067, recall: 0.7339, relative_absolute_error: 1.8533, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.9653, scimark_benchmark: 1301.1661, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.8781, kappa: 0.009, kb_relative_information_score: -183.8655, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8637, predictive_accuracy: 0.8942, prior_entropy: 0.4067, recall: 0.8942, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3142, root_relative_squared_error: 1.1972, scimark_benchmark: 1318.5627, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -283.7005, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.0672, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8842, kappa: 0.0749, kb_relative_information_score: -249.6549, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8734, predictive_accuracy: 0.8967, prior_entropy: 0.4067, recall: 0.8967, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.273, root_relative_squared_error: 1.0399, scimark_benchmark: 1278.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4468, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -32.7705, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2701, root_relative_squared_error: 1.0289, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.8698, kappa: -0.0105, kb_relative_information_score: -294.7998, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8608, predictive_accuracy: 0.8793, prior_entropy: 0.4067, recall: 0.8793, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3341, root_relative_squared_error: 1.2728, scimark_benchmark: 1326.8946, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.8748, kappa: -0.0444, kb_relative_information_score: -407.677, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8547, predictive_accuracy: 0.8959, prior_entropy: 0.4067, recall: 0.8959, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1264, scimark_benchmark: 1281.7531, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: 245.3745, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.0787, scimark_benchmark: 1350.007, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.8748, kappa: -0.0444, kb_relative_information_score: -407.677, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8547, predictive_accuracy: 0.8959, prior_entropy: 0.4067, recall: 0.8959, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1264, scimark_benchmark: 1338.0691, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8842, kappa: 0.0749, kb_relative_information_score: -249.6549, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8734, predictive_accuracy: 0.8967, prior_entropy: 0.4067, recall: 0.8967, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.273, root_relative_squared_error: 1.0399, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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