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Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 246 Supervised Classification mfeat-karhunen 315 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8243, kappa: 0.8028, kb_relative_information_score: 527.9645, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8303, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 1343.3311, usercpu_time_millis: 121860, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 120360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9744, kappa: 0.9714, kb_relative_information_score: 526.5566, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4484, scimark_benchmark: 1348.1311, usercpu_time_millis: 1610, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 1333.6736, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, build_cpu_time: 0.004, build_memory: 1856727672, f_measure: 0.6602, kappa: 0.6722, kb_relative_information_score: 243.2541, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.801, predictive_accuracy: 0.7061, prior_entropy: 3.3219, recall: 0.7061, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.8729, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 0.007, build_memory: 1891189048, f_measure: 0.6488, kappa: 0.6602, kb_relative_information_score: 241.4055, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8025, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.8752, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 1366.479, build_memory: 1337296528, f_measure: 0.9698, kappa: 0.9663, kb_relative_information_score: 632.3531, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9706, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.2316, scimark_benchmark: 937.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 759.934, build_memory: 489896200, f_measure: 0.9683, kappa: 0.9646, kb_relative_information_score: 632.4341, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9691, predictive_accuracy: 0.9682, prior_entropy: 3.3219, recall: 0.9682, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.2322, scimark_benchmark: 885.2271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 762.093, build_memory: 643891920, f_measure: 0.9683, kappa: 0.9646, kb_relative_information_score: 632.4341, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9691, predictive_accuracy: 0.9682, prior_entropy: 3.3219, recall: 0.9682, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.2322, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 371.554, build_memory: 79919568, f_measure: 0.9698, kappa: 0.9663, kb_relative_information_score: 632.8728, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9705, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2321, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 153.898, build_memory: 3006051512, f_measure: 0.9714, kappa: 0.968, kb_relative_information_score: 633.6674, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9721, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, build_cpu_time: 1802.573, build_memory: 62039536, f_measure: 0.8903, kappa: 0.8771, kb_relative_information_score: 544.4956, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8966, predictive_accuracy: 0.8894, prior_entropy: 3.3219, recall: 0.8894, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.4405, scimark_benchmark: 933.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, build_cpu_time: 0.032, build_memory: 1511130288, f_measure: 0.2886, kappa: 0.2062, kb_relative_information_score: 167.4482, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3051, predictive_accuracy: 0.2864, prior_entropy: 3.3219, recall: 0.2864, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.2593, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 1.305, build_memory: 2762214304, f_measure: 0.9728, kappa: 0.9697, kb_relative_information_score: 526.9825, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 3.3219, recall: 0.9727, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.4473, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 1.582, build_memory: 1767396960, f_measure: 0.9728, kappa: 0.9697, kb_relative_information_score: 526.9825, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 3.3219, recall: 0.9727, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.4473, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 1.385, build_memory: 1560040456, f_measure: 0.9728, kappa: 0.9697, kb_relative_information_score: 526.9825, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 3.3219, recall: 0.9727, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.4473, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, build_cpu_time: 0.026, build_memory: 2339345024, f_measure: 0.6902, kappa: 0.6564, kb_relative_information_score: 446.6655, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6916, predictive_accuracy: 0.6909, prior_entropy: 3.3219, recall: 0.6909, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.8288, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, build_cpu_time: 0.058, build_memory: 814484896, f_measure: 0.2886, kappa: 0.2062, kb_relative_information_score: 167.4482, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3051, predictive_accuracy: 0.2864, prior_entropy: 3.3219, recall: 0.2864, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.2593, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, build_cpu_time: 0.051, build_memory: 815407240, f_measure: 0.2886, kappa: 0.2062, kb_relative_information_score: 167.4482, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3051, predictive_accuracy: 0.2864, prior_entropy: 3.3219, recall: 0.2864, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.2593, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 1.48, build_memory: 1255304704, f_measure: 0.9728, kappa: 0.9697, kb_relative_information_score: 526.9825, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 3.3219, recall: 0.9727, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.4473, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 1.517, build_memory: 1765179600, f_measure: 0.9728, kappa: 0.9697, kb_relative_information_score: 526.9825, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 3.3219, recall: 0.9727, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.4473, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, build_cpu_time: 0.04, build_memory: 812191872, f_measure: 0.6902, kappa: 0.6564, kb_relative_information_score: 446.6655, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6916, predictive_accuracy: 0.6909, prior_entropy: 3.3219, recall: 0.6909, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.8288, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, build_cpu_time: 0.04, build_memory: 1274426304, f_measure: 0.6902, kappa: 0.6564, kb_relative_information_score: 446.6655, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6916, predictive_accuracy: 0.6909, prior_entropy: 3.3219, recall: 0.6909, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.8288, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 1442.7264, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 942.9518, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 932.0242, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 918.6005, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8409, kappa: 0.8231, kb_relative_information_score: 550.1955, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8474, predictive_accuracy: 0.8409, prior_entropy: 3.3219, recall: 0.8409, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.5946, scimark_benchmark: 1028.5889, usercpu_time_millis: 42130, usercpu_time_millis_training: 42130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8277, kappa: 0.8079, kb_relative_information_score: 538.93, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8324, predictive_accuracy: 0.8273, prior_entropy: 3.3219, recall: 0.8273, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.6061, scimark_benchmark: 1341.2341, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8243, kappa: 0.8028, kb_relative_information_score: 527.9645, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8303, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 1319.5177, usercpu_time_millis: 115940, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 114490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9697, kappa: 0.9663, kb_relative_information_score: 195.9915, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9702, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9082, scimark_benchmark: 1287.514, usercpu_time_millis: 630, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9336, kappa: 0.9259, kb_relative_information_score: 614.995, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.349, scimark_benchmark: 1363.434, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9593, kappa: 0.9545, kb_relative_information_score: 631.5615, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9601, predictive_accuracy: 0.9591, prior_entropy: 3.3219, recall: 0.9591, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.2559, scimark_benchmark: 938.202, usercpu_time_millis: 5150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9442, kappa: 0.9377, kb_relative_information_score: 621.307, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9461, predictive_accuracy: 0.9439, prior_entropy: 3.3219, recall: 0.9439, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.353, scimark_benchmark: 1304.9611, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8139, kappa: 0.7928, kb_relative_information_score: 514.2624, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8174, predictive_accuracy: 0.8136, prior_entropy: 3.3219, recall: 0.8136, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5903, scimark_benchmark: 1341.5768, usercpu_time_millis: 2580, usercpu_time_millis_training: 2580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9079, kappa: 0.8972, kb_relative_information_score: 580.2376, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9094, predictive_accuracy: 0.9076, prior_entropy: 3.3219, recall: 0.9076, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.3959, scimark_benchmark: 1404.1865, usercpu_time_millis: 2720, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9443, kappa: 0.9377, kb_relative_information_score: 624.6171, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9461, predictive_accuracy: 0.9439, prior_entropy: 3.3219, recall: 0.9439, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.2917, scimark_benchmark: 938.9967, usercpu_time_millis: 11860, usercpu_time_millis_training: 11860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.922, kappa: 0.9124, kb_relative_information_score: 193.1217, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9263, predictive_accuracy: 0.9212, prior_entropy: 3.3219, recall: 0.9212, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9114, scimark_benchmark: 930.5999, usercpu_time_millis: 18100, usercpu_time_millis_testing: 14170, usercpu_time_millis_training: 3930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9696, kappa: 0.9663, kb_relative_information_score: 637.2721, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9707, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.2377, scimark_benchmark: 882.7843, usercpu_time_millis: 3820, usercpu_time_millis_testing: 3820,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, build_cpu_time: 1808.068, build_memory: 43162440, f_measure: 0.8903, kappa: 0.8771, kb_relative_information_score: 544.4956, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8966, predictive_accuracy: 0.8894, prior_entropy: 3.3219, recall: 0.8894, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.4405, scimark_benchmark: 944.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, build_cpu_time: 1761.08, build_memory: 782399576, f_measure: 0.8903, kappa: 0.8771, kb_relative_information_score: 544.4956, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8966, predictive_accuracy: 0.8894, prior_entropy: 3.3219, recall: 0.8894, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.4405, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, build_cpu_time: 300.325, build_memory: 416418784, f_measure: 0.9458, kappa: 0.9394, kb_relative_information_score: 622.5387, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9478, predictive_accuracy: 0.9455, prior_entropy: 3.3219, recall: 0.9455, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.342, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, build_cpu_time: 4657.559, build_memory: 589564120, f_measure: 0.9638, kappa: 0.9596, kb_relative_information_score: 634.6954, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9644, predictive_accuracy: 0.9636, prior_entropy: 3.3219, recall: 0.9636, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.285, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, build_cpu_time: 0.975, build_memory: 1503358952, f_measure: 0.885, kappa: 0.872, kb_relative_information_score: 536.7137, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8891, predictive_accuracy: 0.8848, prior_entropy: 3.3219, recall: 0.8848, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4712, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, build_cpu_time: 0.929, build_memory: 466556496, f_measure: 0.885, kappa: 0.872, kb_relative_information_score: 536.7137, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8891, predictive_accuracy: 0.8848, prior_entropy: 3.3219, recall: 0.8848, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4712, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 3.024, build_memory: 2725930672, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 528.2789, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.976, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.4429, scimark_benchmark: 941.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 2.632, build_memory: 1632746688, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 528.2789, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.976, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.4429, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 3, build_memory: 2642859792, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 528.2789, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.976, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.4429, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 2.779, build_memory: 2629286616, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 528.2789, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.976, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.4429, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 2.886, build_memory: 1058112448, f_measure: 0.9167, kappa: 0.9073, kb_relative_information_score: 541.0019, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9175, predictive_accuracy: 0.9167, prior_entropy: 3.3219, recall: 0.9167, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.4496, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 21.325, build_memory: 1106188664, f_measure: 0.9607, kappa: 0.9562, kb_relative_information_score: 631.5987, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9613, predictive_accuracy: 0.9606, prior_entropy: 3.3219, recall: 0.9606, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.2838, scimark_benchmark: 943.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, build_cpu_time: 578.244, build_memory: 2590981168, f_measure: 0.9592, kappa: 0.9545, kb_relative_information_score: 633.6685, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9599, predictive_accuracy: 0.9591, prior_entropy: 3.3219, recall: 0.9591, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.286, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, build_cpu_time: 1231.128, build_memory: 29562896, f_measure: 0.9593, kappa: 0.9545, kb_relative_information_score: 632.2854, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9605, predictive_accuracy: 0.9591, prior_entropy: 3.3219, recall: 0.9591, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.2973, scimark_benchmark: 886.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 10.062, build_memory: 396253240, f_measure: 0.9609, kappa: 0.9562, kb_relative_information_score: 634.2255, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9618, predictive_accuracy: 0.9606, prior_entropy: 3.3219, recall: 0.9606, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.2671, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 12.661, build_memory: 1809881920, f_measure: 0.927, kappa: 0.9191, kb_relative_information_score: 569.5188, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9283, predictive_accuracy: 0.9273, prior_entropy: 3.3219, recall: 0.9273, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.3917, scimark_benchmark: 945.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 13.759, build_memory: 2618478336, f_measure: 0.9336, kappa: 0.9259, kb_relative_information_score: 556.0378, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9352, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.4222, scimark_benchmark: 942.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.082, build_memory: 1615273160, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 2.734, build_memory: 2545497768, f_measure: 0.9803, kappa: 0.9781, kb_relative_information_score: 645.9135, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9806, predictive_accuracy: 0.9803, prior_entropy: 3.3219, recall: 0.9803, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1899, scimark_benchmark: 941.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, build_cpu_time: 72.154, build_memory: 2820226560, f_measure: 0.9727, kappa: 0.9697, kb_relative_information_score: 195.4681, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 3.3219, recall: 0.9727, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.272, root_relative_squared_error: 0.9066, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 1.806, build_memory: 139875784, f_measure: 0.9744, kappa: 0.9714, kb_relative_information_score: 526.5566, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4484, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 1.673, build_memory: 779646664, f_measure: 0.922, kappa: 0.9124, kb_relative_information_score: 193.1217, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9263, predictive_accuracy: 0.9212, prior_entropy: 3.3219, recall: 0.9212, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9114, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, build_cpu_time: 0.503, build_memory: 530100232, f_measure: 0.9697, kappa: 0.9663, kb_relative_information_score: 195.9915, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9702, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9082, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, build_cpu_time: 1.645, build_memory: 984001736, f_measure: 0.8404, kappa: 0.8183, kb_relative_information_score: 533.2705, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8591, predictive_accuracy: 0.8364, prior_entropy: 3.3219, recall: 0.8364, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5675, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 0.001, build_memory: 1312896240, f_measure: 0.9711, kappa: 0.968, kb_relative_information_score: 638.2745, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9727, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.2521, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 3.513, build_memory: 807385856, f_measure: 0.947, kappa: 0.941, kb_relative_information_score: 624.3407, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9479, predictive_accuracy: 0.947, prior_entropy: 3.3219, recall: 0.947, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.3219, scimark_benchmark: 908.8705,

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