Task
Supervised Classification on socmob

Supervised Classification on socmob

Task 3797 Supervised Classification socmob 1666 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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1666 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9263, kappa: 0.7859, kb_relative_information_score: 774.311, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9262, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.6053, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9449, kappa: 0.8386, kb_relative_information_score: 838.3851, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9448, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.482, scimark_benchmark: 943.1009, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9229, kappa: 0.7735, kb_relative_information_score: 862.7064, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9225, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6645, scimark_benchmark: 932.438, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9451, kappa: 0.8395, kb_relative_information_score: 898.7121, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9449, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.5261, scimark_benchmark: 931.771, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9355, kappa: 0.8117, kb_relative_information_score: 810.0585, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9353, predictive_accuracy: 0.936, prior_entropy: 0.7637, recall: 0.936, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5437, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9346, kappa: 0.8089, kb_relative_information_score: 833.3857, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9343, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5149, scimark_benchmark: 851.2074, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9185, kappa: 0.7629, kb_relative_information_score: 729.657, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9183, predictive_accuracy: 0.9187, prior_entropy: 0.7637, recall: 0.9187, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5516, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.8795, kappa: 0.6498, kb_relative_information_score: 693.4932, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8793, predictive_accuracy: 0.8798, prior_entropy: 0.7637, recall: 0.8798, relative_absolute_error: 0.3484, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.8351, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9183, kappa: 0.7622, kb_relative_information_score: 778.4608, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9181, predictive_accuracy: 0.9187, prior_entropy: 0.7637, recall: 0.9187, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5978, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.9268, kappa: 0.7863, kb_relative_information_score: 782.1128, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9265, predictive_accuracy: 0.9273, prior_entropy: 0.7637, recall: 0.9273, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.5974, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9217, kappa: 0.7638, kb_relative_information_score: 854.0566, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9264, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5008, scimark_benchmark: 1873.1108, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.9295, kappa: 0.7966, kb_relative_information_score: 882.6138, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.93, predictive_accuracy: 0.9291, prior_entropy: 0.7637, recall: 0.9291, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.6414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9431, kappa: 0.833, kb_relative_information_score: 882.2231, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.943, predictive_accuracy: 0.9438, prior_entropy: 0.7637, recall: 0.9438, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4915, scimark_benchmark: 1873.1108, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9252, kappa: 0.7818, kb_relative_information_score: 798.8388, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9249, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.5868, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7259, kappa: 0.4002, kb_relative_information_score: -64.7734, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8545, predictive_accuracy: 0.7007, prior_entropy: 0.7637, recall: 0.7007, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.2887, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.9248, kappa: 0.7799, kb_relative_information_score: 869.3422, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9245, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.6569, scimark_benchmark: 1870.7932, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7307, kappa: 0.4072, kb_relative_information_score: -54.1809, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8557, predictive_accuracy: 0.7059, prior_entropy: 0.7637, recall: 0.7059, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.2821, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.9522, kappa: 0.8607, kb_relative_information_score: 972.1973, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.952, predictive_accuracy: 0.9524, prior_entropy: 0.7637, recall: 0.9524, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.5253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9297, kappa: 0.7954, kb_relative_information_score: 837.2535, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9295, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5509, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9273, kappa: 0.7917, kb_relative_information_score: 801.8927, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9287, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5908, scimark_benchmark: 934.1486, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8862, kappa: 0.66, kb_relative_information_score: 719.4534, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8861, predictive_accuracy: 0.8901, prior_entropy: 0.7637, recall: 0.8901, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6993, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9486, kappa: 0.8497, kb_relative_information_score: 931.3858, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9484, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4743, scimark_benchmark: 1070.5969, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.927, kappa: 0.7849, kb_relative_information_score: 787.8481, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9268, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.5686, scimark_benchmark: 1447.2612, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.9078, kappa: 0.7269, kb_relative_information_score: 809.6199, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9076, predictive_accuracy: 0.91, prior_entropy: 0.7637, recall: 0.91, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.7224, scimark_benchmark: 1574.7611, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9449, kappa: 0.8386, kb_relative_information_score: 838.3851, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9448, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.482, scimark_benchmark: 917.5013, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.95, kappa: 0.8531, kb_relative_information_score: 872.2857, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9501, predictive_accuracy: 0.9507, prior_entropy: 0.7637, recall: 0.9507, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4506, scimark_benchmark: 935.5664, usercpu_time_millis: 15340, usercpu_time_millis_testing: 3300, usercpu_time_millis_training: 12040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9451, kappa: 0.8395, kb_relative_information_score: 898.7121, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9449, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.5261, scimark_benchmark: 934.695, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9449, kappa: 0.8386, kb_relative_information_score: 838.3851, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9448, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.482, scimark_benchmark: 879.4299, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9239, kappa: 0.7819, kb_relative_information_score: 858.6101, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9253, predictive_accuracy: 0.923, prior_entropy: 0.7637, recall: 0.923, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.6566, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6816, kb_relative_information_score: 305.2982, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.6061, predictive_accuracy: 0.7785, prior_entropy: 0.7637, recall: 0.7785, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.1333, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.9372, kappa: 0.8163, kb_relative_information_score: 825.9043, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9369, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5758, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.95, kappa: 0.8531, kb_relative_information_score: 861.8462, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9501, predictive_accuracy: 0.9507, prior_entropy: 0.7637, recall: 0.9507, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4602, scimark_benchmark: 941.589, usercpu_time_millis: 3330, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9511, kappa: 0.8567, kb_relative_information_score: 866.2609, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.951, predictive_accuracy: 0.9516, prior_entropy: 0.7637, recall: 0.9516, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4702, scimark_benchmark: 938.3115, usercpu_time_millis: 870, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9518, kappa: 0.8583, kb_relative_information_score: 866.9686, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9518, predictive_accuracy: 0.9524, prior_entropy: 0.7637, recall: 0.9524, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4533, scimark_benchmark: 939.8002, usercpu_time_millis: 7010, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 5780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.6816, kb_relative_information_score: -2.6206, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.6061, predictive_accuracy: 0.7785, prior_entropy: 0.7637, recall: 0.7785, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9325, kappa: 0.8043, kb_relative_information_score: 877.186, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9325, predictive_accuracy: 0.9325, prior_entropy: 0.7637, recall: 0.9325, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.223, root_relative_squared_error: 0.5371, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9325, kappa: 0.8043, kb_relative_information_score: 877.186, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9325, predictive_accuracy: 0.9325, prior_entropy: 0.7637, recall: 0.9325, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.223, root_relative_squared_error: 0.5371, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9475, kappa: 0.846, kb_relative_information_score: 854.9163, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9474, predictive_accuracy: 0.9481, prior_entropy: 0.7637, recall: 0.9481, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4731, scimark_benchmark: 931.6751, usercpu_time_millis: 1710, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9229, kappa: 0.7735, kb_relative_information_score: 862.7064, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9225, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6645, scimark_benchmark: 934.5964, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9229, kappa: 0.7735, kb_relative_information_score: 862.7064, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9225, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6645, scimark_benchmark: 932.438, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9185, kappa: 0.7629, kb_relative_information_score: 729.657, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9183, predictive_accuracy: 0.9187, prior_entropy: 0.7637, recall: 0.9187, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5516, scimark_benchmark: 901.6243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9346, kappa: 0.8089, kb_relative_information_score: 833.3857, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9343, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5149, scimark_benchmark: 819.5729, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9325, kappa: 0.8043, kb_relative_information_score: 895.7384, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9325, predictive_accuracy: 0.9325, prior_entropy: 0.7637, recall: 0.9325, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.25, root_relative_squared_error: 0.602, scimark_benchmark: 936.1714, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9325, kappa: 0.8043, kb_relative_information_score: 877.186, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9325, predictive_accuracy: 0.9325, prior_entropy: 0.7637, recall: 0.9325, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.223, root_relative_squared_error: 0.5371, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9325, kappa: 0.8043, kb_relative_information_score: 877.186, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9325, predictive_accuracy: 0.9325, prior_entropy: 0.7637, recall: 0.9325, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.223, root_relative_squared_error: 0.5371, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9318, kappa: 0.8026, kb_relative_information_score: 860.6731, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.932, predictive_accuracy: 0.9317, prior_entropy: 0.7637, recall: 0.9317, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.5474, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9267, kappa: 0.7882, kb_relative_information_score: 876.5508, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.927, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.6231, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9356, kappa: 0.8097, kb_relative_information_score: 832.501, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9358, predictive_accuracy: 0.9369, prior_entropy: 0.7637, recall: 0.9369, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.5107, scimark_benchmark: 936.3213, usercpu_time_millis: 120540, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 120130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9355, kappa: 0.8117, kb_relative_information_score: 810.0585, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9353, predictive_accuracy: 0.936, prior_entropy: 0.7637, recall: 0.936, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5437, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.929, kappa: 0.7872, kb_relative_information_score: 883.9906, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9314, predictive_accuracy: 0.9317, prior_entropy: 0.7637, recall: 0.9317, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.5287, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9404, kappa: 0.8271, kb_relative_information_score: 896.3999, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4921, scimark_benchmark: 1007.2169, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9343, kappa: 0.8073, kb_relative_information_score: 892.6483, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9341, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5797, scimark_benchmark: 1060.9535, usercpu_time_millis: 937.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9316, kappa: 0.7993, kb_relative_information_score: 877.3532, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9314, predictive_accuracy: 0.9325, prior_entropy: 0.7637, recall: 0.9325, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.5802, scimark_benchmark: 1615.7511, usercpu_time_millis: 7460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9348, kappa: 0.81, kb_relative_information_score: 898.5835, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6139, scimark_benchmark: 1348.8051, usercpu_time_millis: 150, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.9252, kappa: 0.7818, kb_relative_information_score: 797.4943, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9249, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.261, root_relative_squared_error: 0.6287, scimark_benchmark: 1159.5163, usercpu_time_millis: 890, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9256, kappa: 0.7778, kb_relative_information_score: 864.0145, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9273, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.5826, scimark_benchmark: 1430.0111, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.9372, kappa: 0.8163, kb_relative_information_score: 825.9043, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9369, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5758, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9273, kappa: 0.7917, kb_relative_information_score: 801.8927, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9287, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5908, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7307, kappa: 0.4072, kb_relative_information_score: -54.1809, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8557, predictive_accuracy: 0.7059, prior_entropy: 0.7637, recall: 0.7059, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.2821, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.925, kappa: 0.7806, kb_relative_information_score: 804.1323, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9246, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.6209, scimark_benchmark: 1834.908, usercpu_time_millis: 562.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9486, kappa: 0.8497, kb_relative_information_score: 931.3858, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9484, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4743, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.9248, kappa: 0.7799, kb_relative_information_score: 869.3422, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9245, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.6569, scimark_benchmark: 1618.1738, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.9078, kappa: 0.7269, kb_relative_information_score: 809.6199, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9076, predictive_accuracy: 0.91, prior_entropy: 0.7637, recall: 0.91, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.7224, scimark_benchmark: 1618.1738, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9486, kappa: 0.8497, kb_relative_information_score: 931.3858, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9484, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4743, scimark_benchmark: 1222.7947, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9312, kappa: 0.8042, kb_relative_information_score: 808.2173, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9337, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.577, scimark_benchmark: 551.0993, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.926, kappa: 0.784, kb_relative_information_score: 802.5177, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9257, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5836, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.9267, kappa: 0.7836, kb_relative_information_score: 724.8308, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9267, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.5979, scimark_benchmark: 1788.6668, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8664, kappa: 0.6091, kb_relative_information_score: 647.0425, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8654, predictive_accuracy: 0.8676, prior_entropy: 0.7637, recall: 0.8676, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.8762, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9404, kappa: 0.8271, kb_relative_information_score: 896.3999, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4921, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9275, kappa: 0.7879, kb_relative_information_score: 802.0406, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9272, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5775, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9508, kappa: 0.8555, kb_relative_information_score: 857.2811, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.951, predictive_accuracy: 0.9516, prior_entropy: 0.7637, recall: 0.9516, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4686, scimark_benchmark: 1892.0925, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9234, kappa: 0.7722, kb_relative_information_score: 781.108, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9242, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.5693, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.9239, kappa: 0.7792, kb_relative_information_score: 757.261, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9239, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.6225, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9404, kappa: 0.8271, kb_relative_information_score: 896.3999, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4921, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3787, f_measure: 0.5726, kappa: -0.2447, kb_relative_information_score: -477.7275, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.5708, predictive_accuracy: 0.5744, prior_entropy: 0.7637, recall: 0.5744, relative_absolute_error: 1.2333, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.6524, root_relative_squared_error: 1.5712, scimark_benchmark: 1661.3092, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9229, kappa: 0.7735, kb_relative_information_score: 862.7064, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9225, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6645, scimark_benchmark: 1356.7568, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9457, kappa: 0.8404, kb_relative_information_score: 948.9719, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9456, predictive_accuracy: 0.9464, prior_entropy: 0.7637, recall: 0.9464, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5577, scimark_benchmark: 1598.2498, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9325, kappa: 0.8016, kb_relative_information_score: 905.1484, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9322, predictive_accuracy: 0.9334, prior_entropy: 0.7637, recall: 0.9334, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.5849, scimark_benchmark: 1671.2677, usercpu_time_millis: 7656.25, usercpu_time_millis_training: 7656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9468, kappa: 0.8424, kb_relative_information_score: 955.6077, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9477, predictive_accuracy: 0.9481, prior_entropy: 0.7637, recall: 0.9481, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5487, scimark_benchmark: 1341.3649, usercpu_time_millis: 850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7307, kappa: 0.4072, kb_relative_information_score: -54.1809, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8557, predictive_accuracy: 0.7059, prior_entropy: 0.7637, recall: 0.7059, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.2821, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9348, kappa: 0.81, kb_relative_information_score: 898.5835, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6139, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9256, kappa: 0.7778, kb_relative_information_score: 864.0145, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9273, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.5826, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9312, kappa: 0.8042, kb_relative_information_score: 808.2173, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9337, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.577, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9486, kappa: 0.8497, kb_relative_information_score: 931.3858, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9484, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4743, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.9248, kappa: 0.7799, kb_relative_information_score: 869.3422, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9245, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.6569, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.9078, kappa: 0.7269, kb_relative_information_score: 809.6199, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9076, predictive_accuracy: 0.91, prior_entropy: 0.7637, recall: 0.91, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.7224, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.9372, kappa: 0.8163, kb_relative_information_score: 825.9043, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9369, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5758, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.926, kappa: 0.784, kb_relative_information_score: 802.5177, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9257, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5836, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9404, kappa: 0.8271, kb_relative_information_score: 896.3999, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4921, scimark_benchmark: 1892.0925, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9508, kappa: 0.8555, kb_relative_information_score: 857.2811, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.951, predictive_accuracy: 0.9516, prior_entropy: 0.7637, recall: 0.9516, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4686, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.9252, kappa: 0.7818, kb_relative_information_score: 797.4943, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9249, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.261, root_relative_squared_error: 0.6287, scimark_benchmark: 1925.3565, usercpu_time_millis: 640.625, usercpu_time_millis_training: 640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9319, kappa: 0.801, kb_relative_information_score: 826.2927, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9316, predictive_accuracy: 0.9325, prior_entropy: 0.7637, recall: 0.9325, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5991, scimark_benchmark: 1574.7462, usercpu_time_millis: 6970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6960,

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