Task
Supervised Classification on meta_all.arff

Supervised Classification on meta_all.arff

Task 2352 Supervised Classification meta_all.arff 308 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, build_cpu_time: 0.008, build_memory: 339497000, f_measure: 0.6451, kappa: 0.2698, kb_relative_information_score: -3.008, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5735, predictive_accuracy: 0.7391, prior_entropy: 1.9094, recall: 0.7391, relative_absolute_error: 1.2203, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.0996, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, build_cpu_time: 0.005, build_memory: 702183920, f_measure: 0.6451, kappa: 0.2698, kb_relative_information_score: -3.008, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5735, predictive_accuracy: 0.7391, prior_entropy: 1.9094, recall: 0.7391, relative_absolute_error: 1.2203, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.0996, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, build_cpu_time: 0.007, build_memory: 727985288, f_measure: 0.6451, kappa: 0.2698, kb_relative_information_score: -3.008, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5735, predictive_accuracy: 0.7391, prior_entropy: 1.9094, recall: 0.7391, relative_absolute_error: 1.2203, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.0996, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, build_cpu_time: 0.048, build_memory: 2233846464, f_measure: 0.7559, kappa: 0.5772, kb_relative_information_score: 4.1886, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7507, predictive_accuracy: 0.7826, prior_entropy: 1.9094, recall: 0.7826, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9635, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, build_cpu_time: 0.046, build_memory: 1327417496, f_measure: 0.7559, kappa: 0.5772, kb_relative_information_score: 4.1886, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7507, predictive_accuracy: 0.7826, prior_entropy: 1.9094, recall: 0.7826, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9635, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, build_cpu_time: 0.027, build_memory: 1690623992, f_measure: 0.7559, kappa: 0.5772, kb_relative_information_score: 4.1886, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7507, predictive_accuracy: 0.7826, prior_entropy: 1.9094, recall: 0.7826, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9635, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, build_cpu_time: 0.042, build_memory: 2571767400, f_measure: 0.7559, kappa: 0.5772, kb_relative_information_score: 4.1886, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7507, predictive_accuracy: 0.7826, prior_entropy: 1.9094, recall: 0.7826, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9635, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, build_cpu_time: 0.04, build_memory: 1313645832, f_measure: 0.7559, kappa: 0.5772, kb_relative_information_score: 4.1886, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7507, predictive_accuracy: 0.7826, prior_entropy: 1.9094, recall: 0.7826, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9635, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.001, build_memory: 1186458688, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.001, build_memory: 703921720, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.002, build_memory: 297631592, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.004, build_memory: 252714032, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.004, build_memory: 718792760, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, build_cpu_time: 0.017, build_memory: 104006520, f_measure: 0.5855, kappa: 0.1521, kb_relative_information_score: -3.971, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5343, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.3099, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3392, root_relative_squared_error: 1.1621, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, build_cpu_time: 0.009, build_memory: 251842768, f_measure: 0.5855, kappa: 0.1521, kb_relative_information_score: -3.971, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5343, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.3099, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3392, root_relative_squared_error: 1.1621, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, build_cpu_time: 0.011, build_memory: 1379239032, f_measure: 0.5855, kappa: 0.1521, kb_relative_information_score: -3.971, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5343, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.3099, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3392, root_relative_squared_error: 1.1621, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, build_cpu_time: 0.01, build_memory: 1427318976, f_measure: 0.5855, kappa: 0.1521, kb_relative_information_score: -3.971, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5343, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.3099, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3392, root_relative_squared_error: 1.1621, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, build_cpu_time: 0.007, build_memory: 423583376, f_measure: 0.5855, kappa: 0.1521, kb_relative_information_score: -3.971, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5343, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.3099, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3392, root_relative_squared_error: 1.1621, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, build_cpu_time: 0.507, build_memory: 643509224, f_measure: 0.6917, kappa: 0.4615, kb_relative_information_score: 8.6331, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7291, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3075, root_relative_squared_error: 1.0536, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, build_cpu_time: 1.094, build_memory: 1733004480, f_measure: 0.6834, kappa: 0.4633, kb_relative_information_score: 9.2648, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7204, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3129, root_relative_squared_error: 1.072, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, build_cpu_time: 2.705, build_memory: 1017461816, f_measure: 0.6772, kappa: 0.4651, kb_relative_information_score: 8.864, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7146, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3176, root_relative_squared_error: 1.0882, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, build_cpu_time: 2.666, build_memory: 902742992, f_measure: 0.6435, kappa: 0.3566, kb_relative_information_score: 8.4957, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6615, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3205, root_relative_squared_error: 1.0981, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.575, kappa: 0.2359, kb_relative_information_score: 6.5921, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6112, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3422, root_relative_squared_error: 1.1724, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5708, kb_relative_information_score: -1.1747, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 1.0666, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2998, root_relative_squared_error: 1.0272, scimark_benchmark: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.5707, kappa: 0.215, kb_relative_information_score: 4.6954, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6112, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.3043, scimark_benchmark: 1345.5871, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 6.8112, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0912, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6381, kappa: 0.393, kb_relative_information_score: 7.398, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7514, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3612, root_relative_squared_error: 1.2374, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.5894, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.1912, number_of_instances: 23, prior_entropy: 1.9094, relative_absolute_error: 1.7431, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.978, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.561, kappa: 0.1, kb_relative_information_score: 4.6955, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3612, root_relative_squared_error: 1.2373, scimark_benchmark: 1291.6995, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.5377, kappa: 0.1481, kb_relative_information_score: 2.4684, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5786, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.2834, scimark_benchmark: 1346.9602, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.5913, kappa: 0.1598, kb_relative_information_score: 1.8521, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5416, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3107, root_relative_squared_error: 1.0644, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.527, kappa: 0.2561, kb_relative_information_score: 4.1686, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7211, predictive_accuracy: 0.4783, prior_entropy: 1.9094, recall: 0.4783, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.417, root_relative_squared_error: 1.4287, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 4.1899, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9835, scimark_benchmark: 1346.9602, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.5913, kappa: 0.193, kb_relative_information_score: 4.9472, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6418, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.1321, scimark_benchmark: 1304.9611, usercpu_time_millis: 1180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5708, kb_relative_information_score: 6.3365, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0912, scimark_benchmark: 1325.2092, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.5529, kappa: 0.2813, kb_relative_information_score: 5.1723, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6966, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3993, root_relative_squared_error: 1.3679, scimark_benchmark: 938.9967, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.6147, kappa: 0.367, kb_relative_information_score: 5.2831, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.702, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3363, root_relative_squared_error: 1.1522, scimark_benchmark: 1331.6907, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.5708, kb_relative_information_score: -2.8427, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 1.2379, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3329, root_relative_squared_error: 1.1403, scimark_benchmark: 1034.1273, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.6046, kappa: 0.3387, kb_relative_information_score: 7.6006, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.658, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.1327, scimark_benchmark: 1315.3709, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 891.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.5168, kappa: -0.0748, kb_relative_information_score: 2.1039, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.476, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2958, root_relative_squared_error: 1.0134, scimark_benchmark: 1059.8591, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.5411, kappa: -0.0299, kb_relative_information_score: 2.0274, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.487, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2924, root_relative_squared_error: 1.0018, scimark_benchmark: 1332.6143, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5411, kappa: -0.0299, kb_relative_information_score: 1.7446, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.487, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2941, root_relative_squared_error: 1.0077, scimark_benchmark: 1313.6093, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.5893, kappa: 0.3215, kb_relative_information_score: 6.8923, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7043, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.354, root_relative_squared_error: 1.2127, scimark_benchmark: 1341.4232, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5507, f_measure: 0.4209, kappa: 0.0826, kb_relative_information_score: 1.5778, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.529, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.0558, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4477, root_relative_squared_error: 1.5337, scimark_benchmark: 1275.9462, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.5913, kappa: 0.1481, kb_relative_information_score: 0.8779, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5416, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9929, scimark_benchmark: 885.7425, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.5855, kappa: 0.1521, kb_relative_information_score: 2.5145, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5343, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3014, root_relative_squared_error: 1.0325, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.6177, kappa: 0.249, kb_relative_information_score: 7.3965, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5899, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3405, root_relative_squared_error: 1.1666, scimark_benchmark: 1320.2717, usercpu_time_millis: 11800, usercpu_time_millis_training: 11800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.5377, kappa: 0.151, kb_relative_information_score: 3.4972, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5786, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3787, root_relative_squared_error: 1.2975, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.5668, kappa: 0.1191, kb_relative_information_score: 1.1401, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.181, scimark_benchmark: 1317.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6309, kappa: 0.3, kb_relative_information_score: 5.891, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5845, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2976, root_relative_squared_error: 1.0195, scimark_benchmark: 912.7324, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.5893, kappa: 0.3215, kb_relative_information_score: 5.3903, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7043, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.1604, scimark_benchmark: 1339.8573, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.5668, kappa: 0.1191, kb_relative_information_score: 1.1401, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.181, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.544, kappa: 0.1761, kb_relative_information_score: 3.6397, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.687, predictive_accuracy: 0.4783, prior_entropy: 1.9094, recall: 0.4783, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.417, root_relative_squared_error: 1.4287, scimark_benchmark: 1341.4232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.5668, kappa: 0.1191, kb_relative_information_score: 1.1401, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.181, scimark_benchmark: 1168.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6606, kappa: 0.3784, kb_relative_information_score: 6.8462, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7759, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.0926, scimark_benchmark: 1365.1392, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6606, kappa: 0.3784, kb_relative_information_score: 6.8462, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7759, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.0926, scimark_benchmark: 1227.9507, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.6147, kappa: 0.367, kb_relative_information_score: 5.2831, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.702, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3363, root_relative_squared_error: 1.1522, scimark_benchmark: 889.3151, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6606, kappa: 0.3784, kb_relative_information_score: 6.8462, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7759, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.0926, scimark_benchmark: 1327.2954, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.5377, kappa: 0.1595, kb_relative_information_score: 1.7464, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5786, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3755, root_relative_squared_error: 1.2863, scimark_benchmark: 1064.8317, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.5766, kappa: 0.2675, kb_relative_information_score: 5.0787, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6377, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.381, root_relative_squared_error: 1.3053, scimark_benchmark: 1323.4648, usercpu_time_millis: 440, usercpu_time_millis_testing: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 4.1899, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9835, scimark_benchmark: 1345.7204, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5427, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.461, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0733, scimark_benchmark: 1313.5052,

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