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: 0.75, build_cpu_time: 0.299, build_memory: 892319728, f_measure: 0.5893, kappa: 0.3215, kb_relative_information_score: 6.3467, mean_absolute_error: 0.1422, 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: 0.7436, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.1939, scimark_benchmark: 937.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, build_cpu_time: 0.822, build_memory: 340139256, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 8.1238, mean_absolute_error: 0.1198, 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: 0.6264, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.1328, scimark_benchmark: 939.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, build_cpu_time: 0.756, build_memory: 251320688, f_measure: 0.5893, kappa: 0.3215, kb_relative_information_score: 6.1808, mean_absolute_error: 0.1458, 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: 0.7627, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.3045, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, build_cpu_time: 1.427, build_memory: 1467996752, f_measure: 0.6312, kappa: 0.3631, kb_relative_information_score: 7.1601, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7194, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3613, root_relative_squared_error: 1.2378, scimark_benchmark: 899.2335,
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: 0.007, 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: 0.6108, 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: 0.01, 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: 0.7137, 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: 0.5652, 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: 0.011, 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: 0.5917, 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: 0.7239, f_measure: 0.5064, kappa: 0.193, kb_relative_information_score: 5.0264, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6145, predictive_accuracy: 0.4783, prior_entropy: 1.9094, recall: 0.4783, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.392, root_relative_squared_error: 1.3429, scimark_benchmark: 1356.3402, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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: 1327.9952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1283.2145, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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: 1310.9044, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.5377, kappa: 0.151, kb_relative_information_score: 4.2229, mean_absolute_error: 0.1594, 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: 0.8337, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3993, root_relative_squared_error: 1.3679, scimark_benchmark: 1419.2433, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 0.7091, 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: 1294.7826, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, 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: 0.5507, 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: 0.637, 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: 0.5555, 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: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 0.5427, 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: 1404.1865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5989, f_measure: 0.5668, kappa: 0.0961, kb_relative_information_score: 1.5628, mean_absolute_error: 0.1895, 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: 0.9912, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.0276, scimark_benchmark: 1313.9606, 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: 1386.5717,
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: 0.5678, 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: 0.547, 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: 0.5464, 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: 0.5, 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: 0.7325, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.5668, kappa: 0.1191, kb_relative_information_score: 2.0054, mean_absolute_error: 0.173, 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: 0.9049, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3409, root_relative_squared_error: 1.1678, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.5264, kappa: -0.1011, kb_relative_information_score: 0.8715, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4638, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.9994, scimark_benchmark: 1327.9952, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.5126, kappa: 0.1834, kb_relative_information_score: 4.9108, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6203, predictive_accuracy: 0.4783, prior_entropy: 1.9094, recall: 0.4783, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3658, root_relative_squared_error: 1.2532, scimark_benchmark: 1308.3503, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.5708, kb_relative_information_score: 0.726, mean_absolute_error: 0.1909, 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: 0.9982, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9987, scimark_benchmark: 1263.2205, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.5708, kb_relative_information_score: 0.3479, mean_absolute_error: 0.1927, 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: 1.0077, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2935, root_relative_squared_error: 1.0056, scimark_benchmark: 1300.0105, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 0.999, mean_absolute_error: 0.1875, 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: 0.9806, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.9882, scimark_benchmark: 934.1747, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
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: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.5797, kappa: 0.1321, kb_relative_information_score: 2.9819, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6087, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3015, root_relative_squared_error: 1.033, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4655, f_measure: 0.4608, kappa: -0.0136, kb_relative_information_score: 0.8109, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5033, predictive_accuracy: 0.4348, prior_entropy: 1.9094, recall: 0.4348, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4157, root_relative_squared_error: 1.4241, scimark_benchmark: 1413.089, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.5747, kappa: 0.0327, kb_relative_information_score: 0.3299, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5629, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 1.0456, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0392, scimark_benchmark: 1333.5799, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 0.4247, mean_absolute_error: 0.1945, 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: 1.0172, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2943, root_relative_squared_error: 1.0081, scimark_benchmark: 1334.8272, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.5928, kappa: 0.223, kb_relative_information_score: 5.6764, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6366, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.3046, scimark_benchmark: 1345.1228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.5126, kappa: 0.1834, kb_relative_information_score: 5.2183, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6203, predictive_accuracy: 0.4783, prior_entropy: 1.9094, recall: 0.4783, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.2627, scimark_benchmark: 1301.9956, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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: 1320.9387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1326.8946, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5668, kappa: 0.0961, kb_relative_information_score: 1.2913, mean_absolute_error: 0.1952, 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: 1.0208, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3126, root_relative_squared_error: 1.0709, scimark_benchmark: 1339.4412, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 1.9714, mean_absolute_error: 0.177, 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: 0.9257, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0469, scimark_benchmark: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.5565, kappa: 0.098, kb_relative_information_score: 1.8942, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3511, root_relative_squared_error: 1.2027, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.5285, kappa: 0.1575, kb_relative_information_score: -2.3113, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5319, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 1.2725, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.337, root_relative_squared_error: 1.1547, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.4591, kappa: 0.1006, kb_relative_information_score: -1.969, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.599, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.229, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3967, root_relative_squared_error: 1.359, scimark_benchmark: 876.0664,
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: 906.0979,
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: 943.1009, usercpu_time_millis: 60, usercpu_time_millis_training: 60,

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