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OpenML
Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 24478 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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24478 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.967, kappa: 0.9633, kb_relative_information_score: 1923.1623, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9679, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.2504, scimark_benchmark: 825.5282, usercpu_time_millis: 2560, usercpu_time_millis_testing: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.927, kappa: 0.9189, kb_relative_information_score: 585.612, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9283, predictive_accuracy: 0.927, prior_entropy: 3.3219, recall: 0.927, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9113, scimark_benchmark: 1363.434, usercpu_time_millis: 13080, usercpu_time_millis_testing: 10660, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9636, kappa: 0.9594, kb_relative_information_score: 592.8675, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.964, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9084, scimark_benchmark: 894.7222, usercpu_time_millis: 680, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9545, kappa: 0.9494, kb_relative_information_score: 1891.8705, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9547, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2785, scimark_benchmark: 1280.6952, usercpu_time_millis: 4140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9395, kappa: 0.9328, kb_relative_information_score: 1873.4633, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9396, predictive_accuracy: 0.9395, prior_entropy: 3.3219, recall: 0.9395, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.11, root_relative_squared_error: 0.3667, scimark_benchmark: 1304.9611, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9498, kappa: 0.9417, kb_relative_information_score: 1890.1955, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9577, predictive_accuracy: 0.9475, prior_entropy: 3.3219, recall: 0.9475, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.3416, scimark_benchmark: 1310.3951, usercpu_time_millis: 9070, usercpu_time_millis_testing: 5620, usercpu_time_millis_training: 3450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8352, kappa: 0.8161, kb_relative_information_score: 1622.3704, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.838, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5262, scimark_benchmark: 1313.5726, usercpu_time_millis: 121090, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 119580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.7395, kappa: 0.7111, kb_relative_information_score: 1456.2061, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7394, predictive_accuracy: 0.74, prior_entropy: 3.3219, recall: 0.74, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.228, root_relative_squared_error: 0.7601, scimark_benchmark: 1280.6952, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.7716, kappa: 0.7478, kb_relative_information_score: 1476.0539, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6368, scimark_benchmark: 1319.6463, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8234, kappa: 0.8033, kb_relative_information_score: 1610.9807, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8251, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.5882, scimark_benchmark: 1361.1055, usercpu_time_millis: 2250, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8912, kappa: 0.8789, kb_relative_information_score: 1772.0249, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8989, predictive_accuracy: 0.891, prior_entropy: 3.3219, recall: 0.891, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4922, scimark_benchmark: 1353.6735, usercpu_time_millis: 1670, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.0301, kappa: 0.0067, kb_relative_information_score: 130.1856, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5101, predictive_accuracy: 0.106, prior_entropy: 3.3219, recall: 0.106, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.4095, scimark_benchmark: 1384.4418, usercpu_time_millis: 2840, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8451, kappa: 0.8283, kb_relative_information_score: 1670.2515, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8451, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.576, scimark_benchmark: 1465.2979, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.2904, kappa: 0.2228, kb_relative_information_score: 536.9853, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2978, predictive_accuracy: 0.3005, prior_entropy: 3.3219, recall: 0.3005, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.374, root_relative_squared_error: 1.2468, scimark_benchmark: 1465.2979, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8053, kappa: 0.7839, kb_relative_information_score: 1593.2003, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8065, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.6574, scimark_benchmark: 1054.3694, usercpu_time_millis: 55910, usercpu_time_millis_training: 55910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8086, kappa: 0.7883, kb_relative_information_score: 1607.0042, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8088, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.6186, scimark_benchmark: 977.6382, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9397, kappa: 0.9328, kb_relative_information_score: 1879.6501, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.941, predictive_accuracy: 0.9395, prior_entropy: 3.3219, recall: 0.9395, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3507, scimark_benchmark: 945.6434, usercpu_time_millis: 7080, usercpu_time_millis_testing: 2500, usercpu_time_millis_training: 4580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9545, kappa: 0.9494, kb_relative_information_score: 1906.439, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9548, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3093, scimark_benchmark: 911.3823, usercpu_time_millis: 14960, usercpu_time_millis_testing: 5180, usercpu_time_millis_training: 9780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9476, kappa: 0.9417, kb_relative_information_score: 1892.426, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.948, predictive_accuracy: 0.9475, prior_entropy: 3.3219, recall: 0.9475, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.3329, scimark_benchmark: 945.6434, usercpu_time_millis: 30020, usercpu_time_millis_testing: 10200, usercpu_time_millis_training: 19820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9422, kappa: 0.9356, kb_relative_information_score: 1880.3636, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9426, predictive_accuracy: 0.942, prior_entropy: 3.3219, recall: 0.942, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.3551, scimark_benchmark: 940.2922, usercpu_time_millis: 61040, usercpu_time_millis_testing: 20480, usercpu_time_millis_training: 40560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9314, kappa: 0.9233, kb_relative_information_score: 1855.3445, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9323, predictive_accuracy: 0.931, prior_entropy: 3.3219, recall: 0.931, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.3906, scimark_benchmark: 926.6717, usercpu_time_millis: 116830, usercpu_time_millis_testing: 39800, usercpu_time_millis_training: 77030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.0889, kappa: 0.105, kb_relative_information_score: 410.4581, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0609, predictive_accuracy: 0.1945, prior_entropy: 3.3219, recall: 0.1945, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9656, scimark_benchmark: 942.1229, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.0889, kappa: 0.105, kb_relative_information_score: 410.4581, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0609, predictive_accuracy: 0.1945, prior_entropy: 3.3219, recall: 0.1945, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9656, scimark_benchmark: 938.4278, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.0889, kappa: 0.105, kb_relative_information_score: 410.4581, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0609, predictive_accuracy: 0.1945, prior_entropy: 3.3219, recall: 0.1945, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9656, scimark_benchmark: 934.5243, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.0889, kappa: 0.105, kb_relative_information_score: 410.4581, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0609, predictive_accuracy: 0.1945, prior_entropy: 3.3219, recall: 0.1945, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9656, scimark_benchmark: 939.7623, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.0889, kappa: 0.105, kb_relative_information_score: 410.4581, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0609, predictive_accuracy: 0.1945, prior_entropy: 3.3219, recall: 0.1945, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9656, scimark_benchmark: 933.8635, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9445, kappa: 0.9383, kb_relative_information_score: 1879.1237, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9449, predictive_accuracy: 0.9445, prior_entropy: 3.3219, recall: 0.9445, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3124, scimark_benchmark: 910.8389, usercpu_time_millis: 12750, usercpu_time_millis_training: 12750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9245, kappa: 0.9161, kb_relative_information_score: 1823.7039, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9247, predictive_accuracy: 0.9245, prior_entropy: 3.3219, recall: 0.9245, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.3569, scimark_benchmark: 933.8635, usercpu_time_millis: 8110, usercpu_time_millis_training: 8110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.8869, kappa: 0.8744, kb_relative_information_score: 1723.7706, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8871, predictive_accuracy: 0.887, prior_entropy: 3.3219, recall: 0.887, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.4276, scimark_benchmark: 938.9865, usercpu_time_millis: 2960, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9272, kappa: 0.9194, kb_relative_information_score: 1643.8251, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9281, predictive_accuracy: 0.9275, prior_entropy: 3.3219, recall: 0.9275, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.4541, scimark_benchmark: 902.4773, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, build_cpu_time: 2626.2514, build_memory: 898470784, f_measure: 0.833, kappa: 0.8122, kb_relative_information_score: 1372.4379, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8445, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5894, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, build_cpu_time: 3382.9026, build_memory: 980837853.6, f_measure: 0.843, kappa: 0.8233, kb_relative_information_score: 1406.0561, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.854, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.5775, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, build_cpu_time: 4429.1954, build_memory: 863882827.2, f_measure: 0.843, kappa: 0.8233, kb_relative_information_score: 1407.9243, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8539, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5785, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, build_cpu_time: 4501.5462, build_memory: 17083429.6, f_measure: 0.843, kappa: 0.8233, kb_relative_information_score: 1407.9243, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8539, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5785, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, build_cpu_time: 4448.7995, build_memory: 29941601.6, f_measure: 0.843, kappa: 0.8233, kb_relative_information_score: 1407.9243, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8539, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5785, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, build_cpu_time: 8202.163, build_memory: 116074773.6, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 1909.0354, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9567, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3108, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, build_cpu_time: 3751.5792, build_memory: 156068496.8, f_measure: 0.9575, kappa: 0.9528, kb_relative_information_score: 1910.9149, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9576, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3074, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, build_cpu_time: 1783.2839, build_memory: 942843061.6, f_measure: 0.9545, kappa: 0.9494, kb_relative_information_score: 1904.6502, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9547, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.318, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, build_cpu_time: 884.0213, build_memory: 428493647.2, f_measure: 0.955, kappa: 0.95, kb_relative_information_score: 1908.1568, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9551, predictive_accuracy: 0.955, prior_entropy: 3.3219, recall: 0.955, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3106, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, build_cpu_time: 460.864, build_memory: 1495258305.6, f_measure: 0.9505, kappa: 0.945, kb_relative_information_score: 1901.0981, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9505, predictive_accuracy: 0.9505, prior_entropy: 3.3219, recall: 0.9505, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3209, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 52.0126, build_memory: 136269321.6, f_measure: 0.8729, kappa: 0.8589, kb_relative_information_score: 1529.019, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8733, predictive_accuracy: 0.873, prior_entropy: 3.3219, recall: 0.873, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.499, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, build_cpu_time: 87.7611, build_memory: 159525012.8, f_measure: 0.8834, kappa: 0.8706, kb_relative_information_score: 1599.2783, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8838, predictive_accuracy: 0.8835, prior_entropy: 3.3219, recall: 0.8835, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.464, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, build_cpu_time: 89.7279, build_memory: 867724650.4, f_measure: 0.8834, kappa: 0.8706, kb_relative_information_score: 1603.52, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8839, predictive_accuracy: 0.8835, prior_entropy: 3.3219, recall: 0.8835, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.4621, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, build_cpu_time: 91.3409, build_memory: 107142024, f_measure: 0.8834, kappa: 0.8706, kb_relative_information_score: 1603.52, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8839, predictive_accuracy: 0.8835, prior_entropy: 3.3219, recall: 0.8835, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.4621, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 448.8502, build_memory: 722828079.2, f_measure: 0.9631, kappa: 0.9589, kb_relative_information_score: 1923.1367, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9637, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2845, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, build_cpu_time: 89.982, build_memory: 399976194.4, f_measure: 0.8834, kappa: 0.8706, kb_relative_information_score: 1603.52, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8839, predictive_accuracy: 0.8835, prior_entropy: 3.3219, recall: 0.8835, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.4621, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, build_cpu_time: 186.1809, build_memory: 2328263204, f_measure: 0.9607, kappa: 0.9561, kb_relative_information_score: 1917.9385, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9612, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2927, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, build_cpu_time: 97.8694, build_memory: 491724656.8, f_measure: 0.9547, kappa: 0.9494, kb_relative_information_score: 1906.1115, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9555, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3108, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 46.5895, build_memory: 819585836, f_measure: 0.9508, kappa: 0.945, kb_relative_information_score: 1898.6077, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9518, predictive_accuracy: 0.9505, prior_entropy: 3.3219, recall: 0.9505, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3201, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, build_cpu_time: 28.5834, build_memory: 1062660276, f_measure: 0.929, kappa: 0.9206, kb_relative_information_score: 1859.701, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9303, predictive_accuracy: 0.9285, prior_entropy: 3.3219, recall: 0.9285, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.366, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, build_cpu_time: 7.9791, build_memory: 941333705.6, f_measure: 0.9288, kappa: 0.9211, kb_relative_information_score: 1860.0982, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9288, predictive_accuracy: 0.929, prior_entropy: 3.3219, recall: 0.929, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3699, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, build_cpu_time: 15.2013, build_memory: 873219092, f_measure: 0.9405, kappa: 0.9339, kb_relative_information_score: 1882.1961, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 3.3219, recall: 0.9405, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.3455, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, build_cpu_time: 30.926, build_memory: 65493064, f_measure: 0.9575, kappa: 0.9528, kb_relative_information_score: 1913.1281, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9578, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.3004, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, build_cpu_time: 61.3159, build_memory: 363622399.2, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 1922.918, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9627, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2853, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, build_cpu_time: 122.3889, build_memory: 351324661.6, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 1930.3621, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.2715, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, build_cpu_time: 1.0036, build_memory: 83885349.6, f_measure: 0.9639, kappa: 0.96, kb_relative_information_score: 1920.5568, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9644, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.0453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2821, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, build_cpu_time: 0.0666, build_memory: 187547080, f_measure: 0.0889, kappa: 0.105, kb_relative_information_score: 410.4581, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0609, predictive_accuracy: 0.1945, prior_entropy: 3.3219, recall: 0.1945, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9656, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, build_cpu_time: 0.0556, build_memory: 824776401.6, f_measure: 0.0889, kappa: 0.105, kb_relative_information_score: 410.4581, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0609, predictive_accuracy: 0.1945, prior_entropy: 3.3219, recall: 0.1945, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9656, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, build_cpu_time: 55.6363, build_memory: 2286456485.6, f_measure: 0.9596, kappa: 0.955, kb_relative_information_score: 1916.7579, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9598, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.294, scimark_benchmark: 919.5281,

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