OpenML
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: 0.9782, 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: 0.9261, 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: 0.9027, 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: 0.8236, 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: 0.8823, 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: 0.9049, 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: 0.9349, 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: 0.7802, 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: 0.9334, f_measure: 0.955, kappa: 0.8692, kb_relative_information_score: 982.151, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9549, predictive_accuracy: 0.955, prior_entropy: 0.7637, recall: 0.955, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9248, kappa: 0.7755, kb_relative_information_score: 843.9713, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9263, predictive_accuracy: 0.9273, prior_entropy: 0.7637, recall: 0.9273, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.246, root_relative_squared_error: 0.5925, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
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: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9248, kappa: 0.7755, kb_relative_information_score: 843.9713, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9263, predictive_accuracy: 0.9273, prior_entropy: 0.7637, recall: 0.9273, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.246, root_relative_squared_error: 0.5925, scimark_benchmark: 1887.4343,
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: 0.8954, 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: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8942, kappa: 0.6922, kb_relative_information_score: 730.6585, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8939, predictive_accuracy: 0.8945, prior_entropy: 0.7637, recall: 0.8945, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.6825, scimark_benchmark: 1806.5905, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 78.0005,
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: 1806.5905, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8928, kappa: 0.6866, kb_relative_information_score: 726.0538, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8921, predictive_accuracy: 0.8936, prior_entropy: 0.7637, recall: 0.8936, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.766, scimark_benchmark: 1806.5905, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 15.6001,
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: 1806.5905, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9248, kappa: 0.7755, kb_relative_information_score: 843.9713, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9263, predictive_accuracy: 0.9273, prior_entropy: 0.7637, recall: 0.9273, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.246, root_relative_squared_error: 0.5925, scimark_benchmark: 1877.5305,
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: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.6816, kb_relative_information_score: -0.878, mean_absolute_error: 0.3451, 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: 1.0001, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.9513, kappa: 0.8579, kb_relative_information_score: 968.8794, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9511, predictive_accuracy: 0.9516, prior_entropy: 0.7637, recall: 0.9516, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.5301, usercpu_time_millis: 874.308, usercpu_time_millis_testing: 8.482, usercpu_time_millis_training: 865.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.9172, kappa: 0.758, kb_relative_information_score: 839.481, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9167, predictive_accuracy: 0.9178, prior_entropy: 0.7637, recall: 0.9178, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6904, usercpu_time_millis: 13.313, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 12.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.9213, kappa: 0.7616, kb_relative_information_score: 869.3422, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9275, 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, usercpu_time_millis: 1.306, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9393, kappa: 0.8234, kb_relative_information_score: 922.4287, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9391, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5926, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.9149, kappa: 0.7442, kb_relative_information_score: 842.799, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9179, predictive_accuracy: 0.9187, prior_entropy: 0.7637, recall: 0.9187, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.6868, usercpu_time_millis: 28.788, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 28.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9303, kappa: 0.7965, kb_relative_information_score: 889.2496, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.93, predictive_accuracy: 0.9308, prior_entropy: 0.7637, recall: 0.9308, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.6336, usercpu_time_millis: 5.755, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 5.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.9512, kappa: 0.8575, kb_relative_information_score: 968.8794, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9511, predictive_accuracy: 0.9516, prior_entropy: 0.7637, recall: 0.9516, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.5301, usercpu_time_millis: 405.29, usercpu_time_millis_testing: 9.407, usercpu_time_millis_training: 395.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9469, kappa: 0.845, kb_relative_information_score: 952.2898, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9467, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.5532, usercpu_time_millis: 190.508, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 190.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9477, kappa: 0.8473, kb_relative_information_score: 955.6077, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9476, 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, usercpu_time_millis: 3.317, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 3.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.9525, kappa: 0.8622, kb_relative_information_score: 972.1973, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9525, 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, usercpu_time_millis: 6.247, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 6.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.9503, kappa: 0.8548, kb_relative_information_score: 965.5615, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9502, predictive_accuracy: 0.9507, prior_entropy: 0.7637, recall: 0.9507, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.5348, usercpu_time_millis: 1.699, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8922, kappa: 0.7003, kb_relative_information_score: 726.6723, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.901, predictive_accuracy: 0.8884, prior_entropy: 0.7637, recall: 0.8884, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.8045, usercpu_time_millis: 0.765, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9256, kappa: 0.7868, kb_relative_information_score: 866.0243, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.927, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.6607, usercpu_time_millis: 3.755, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 2.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.945, kappa: 0.839, kb_relative_information_score: 945.654, mean_absolute_error: 0.0545, 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: 0.1579, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.5622, usercpu_time_millis: 186.118, usercpu_time_millis_testing: 10.229, usercpu_time_millis_training: 175.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.9149, kappa: 0.75, kb_relative_information_score: 832.8452, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9144, predictive_accuracy: 0.9161, prior_entropy: 0.7637, recall: 0.9161, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6976, usercpu_time_millis: 2.614, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 1.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9388, kappa: 0.8231, kb_relative_information_score: 919.1108, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9391, predictive_accuracy: 0.9386, prior_entropy: 0.7637, recall: 0.9386, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.5969, usercpu_time_millis: 1.809, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 1.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9469, kappa: 0.845, kb_relative_information_score: 952.2898, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9467, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.5532, usercpu_time_millis: 0.726, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.9218, kappa: 0.7657, kb_relative_information_score: 866.0243, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9239, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.6607, usercpu_time_millis: 0.695, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.9058, kappa: 0.7149, kb_relative_information_score: 812.9378, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9105, predictive_accuracy: 0.9109, prior_entropy: 0.7637, recall: 0.9109, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.7189, usercpu_time_millis: 8.056, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 7.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9477, kappa: 0.8473, kb_relative_information_score: 955.6077, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9476, 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, usercpu_time_millis: 1.254, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 1.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.9268, kappa: 0.7799, kb_relative_information_score: 885.9317, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9302, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.6375, usercpu_time_millis: 0.758, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9434, kappa: 0.8349, kb_relative_information_score: 939.0182, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9432, predictive_accuracy: 0.9438, prior_entropy: 0.7637, recall: 0.9438, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.5711, usercpu_time_millis: 0.729, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9305, kappa: 0.8004, kb_relative_information_score: 885.9317, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9315, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.6375, usercpu_time_millis: 3.594, usercpu_time_millis_testing: 1.073, usercpu_time_millis_training: 2.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.9351, kappa: 0.8074, kb_relative_information_score: 912.475, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.936, predictive_accuracy: 0.9369, prior_entropy: 0.7637, recall: 0.9369, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.6052, usercpu_time_millis: 1.37, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.9318, kappa: 0.7962, kb_relative_information_score: 902.5213, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.934, predictive_accuracy: 0.9343, prior_entropy: 0.7637, recall: 0.9343, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.6175, usercpu_time_millis: 2.73, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 2.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9348, kappa: 0.81, kb_relative_information_score: 905.8392, mean_absolute_error: 0.0649, 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: 0.188, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.6134, usercpu_time_millis: 4.096, usercpu_time_millis_testing: 1.257, usercpu_time_millis_training: 2.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9372, kappa: 0.8163, kb_relative_information_score: 915.7929, mean_absolute_error: 0.0623, 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: 0.1805, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.601, usercpu_time_millis: 3.385, usercpu_time_millis_testing: 1.336, usercpu_time_millis_training: 2.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.9128, kappa: 0.7354, kb_relative_information_score: 839.481, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9191, predictive_accuracy: 0.9178, prior_entropy: 0.7637, recall: 0.9178, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6904, usercpu_time_millis: 3.279, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 3.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.9521, kappa: 0.8603, 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, usercpu_time_millis: 17.199, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 16.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9303, kappa: 0.7965, kb_relative_information_score: 889.2496, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.93, predictive_accuracy: 0.9308, prior_entropy: 0.7637, recall: 0.9308, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.6336, usercpu_time_millis: 1.96, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.779,
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, usercpu_time_millis: 0.688, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9477, kappa: 0.8473, kb_relative_information_score: 955.6077, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9476, 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, usercpu_time_millis: 1.707, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 1.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.9511, kappa: 0.8571, kb_relative_information_score: 968.8794, mean_absolute_error: 0.0484, 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: 0.1404, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.5301, usercpu_time_millis: 24.299, usercpu_time_millis_testing: 3.155, usercpu_time_millis_training: 21.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9534, kappa: 0.8649, kb_relative_information_score: 975.5152, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 0.7637, recall: 0.9533, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.5205, usercpu_time_millis: 9.563, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 9.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9332, kappa: 0.8033, kb_relative_information_score: 823.4496, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9331, predictive_accuracy: 0.9343, prior_entropy: 0.7637, recall: 0.9343, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5716, scimark_benchmark: 906.0979,
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: 0.9796, 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: 0.877, 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: 931.771, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
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: 931.771, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
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: 938.191,
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,
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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: 0.877, 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: 0.9741, 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,
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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_training: 10,
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: 939.8002,
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: 0.934, f_measure: 0.9332, kappa: 0.8033, kb_relative_information_score: 823.4496, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9331, predictive_accuracy: 0.9343, prior_entropy: 0.7637, recall: 0.9343, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5716, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 0.877, 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: 0.877, 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: 0.9793, 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: 0.9697, 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: 0.981, 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: 0.9793, 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: 0.9608, 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: 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: 0.9895, 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: 0.9878, 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: 0.9858, 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: 0.9869, 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: 0.9766, 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: 0.9766, 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: 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: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 0.4953, 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: 0.9776, 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: 0.9744, 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: 0.9704, f_measure: 0.9261, kappa: 0.7872, kb_relative_information_score: 866.6202, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9268, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.6448, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.923, kappa: 0.7792, kb_relative_information_score: 857.5516, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9243, predictive_accuracy: 0.9221, prior_entropy: 0.7637, recall: 0.9221, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.6561, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, 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,

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