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: 0.9763, build_cpu_time: 60.7779, build_memory: 1075292557.737, f_measure: 0.9459, kappa: 0.8418, kb_relative_information_score: 950.2637, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9457, 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: 0.22, root_relative_squared_error: 0.5298, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, build_cpu_time: 31.6628, build_memory: 40229624.8512, f_measure: 0.9427, kappa: 0.833, kb_relative_information_score: 926.3545, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9425, predictive_accuracy: 0.9429, prior_entropy: 0.7637, recall: 0.9429, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.5364, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, build_cpu_time: 15.4393, build_memory: 45602740, f_measure: 0.9353, kappa: 0.8132, kb_relative_information_score: 892.5367, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9356, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.5542, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, build_cpu_time: 0.0194, build_memory: 620535420.0138, f_measure: 0.9248, kappa: 0.7738, kb_relative_information_score: 836.3162, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9286, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5839, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, build_cpu_time: 0.018, build_memory: 285454384.8374, f_measure: 0.9248, kappa: 0.7738, kb_relative_information_score: 836.3162, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9286, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5839, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, build_cpu_time: 0.0175, build_memory: 1647642265.0104, f_measure: 0.9248, kappa: 0.7738, kb_relative_information_score: 836.3162, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9286, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5839, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, build_cpu_time: 0.0171, build_memory: 1407481448.7474, f_measure: 0.9248, kappa: 0.7738, kb_relative_information_score: 836.3162, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9286, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5839, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, build_cpu_time: 0.022, build_memory: 509321110.8097, f_measure: 0.9248, kappa: 0.7738, kb_relative_information_score: 836.3162, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9286, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5839, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, build_cpu_time: 0.0109, build_memory: 1061393682.8512, f_measure: 0.9134, kappa: 0.7463, kb_relative_information_score: 801.7331, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9129, predictive_accuracy: 0.9144, prior_entropy: 0.7637, recall: 0.9144, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.651, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, build_cpu_time: 0.0248, build_memory: 1274730199.8616, f_measure: 0.9157, kappa: 0.7543, kb_relative_information_score: 823.8083, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9153, predictive_accuracy: 0.9161, prior_entropy: 0.7637, recall: 0.9161, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.6492, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, build_cpu_time: 0.0757, build_memory: 967562237.5571, f_measure: 0.9126, kappa: 0.7463, kb_relative_information_score: 823.3993, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9125, predictive_accuracy: 0.9126, prior_entropy: 0.7637, recall: 0.9126, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6658, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, build_cpu_time: 0.0958, build_memory: 1582707639.9516, f_measure: 0.9194, kappa: 0.7657, kb_relative_information_score: 850.3642, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9192, predictive_accuracy: 0.9196, prior_entropy: 0.7637, recall: 0.9196, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.6465, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, build_cpu_time: 0.1828, build_memory: 686319327.4256, f_measure: 0.923, kappa: 0.7764, kb_relative_information_score: 862.4696, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9229, predictive_accuracy: 0.923, prior_entropy: 0.7637, recall: 0.923, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.6451, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, build_cpu_time: 0.1071, build_memory: 889961690.5952, f_measure: 0.944, kappa: 0.8358, kb_relative_information_score: 839.2783, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9439, predictive_accuracy: 0.9446, prior_entropy: 0.7637, recall: 0.9446, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4805, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, build_cpu_time: 0.11, build_memory: 1046923082.7751, f_measure: 0.944, kappa: 0.8358, kb_relative_information_score: 839.2783, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9439, predictive_accuracy: 0.9446, prior_entropy: 0.7637, recall: 0.9446, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4805, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, build_cpu_time: 0.1406, build_memory: 921749975.2872, f_measure: 0.944, kappa: 0.8358, kb_relative_information_score: 839.2783, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9439, predictive_accuracy: 0.9446, prior_entropy: 0.7637, recall: 0.9446, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4805, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, build_cpu_time: 0.1096, build_memory: 969940259.7232, f_measure: 0.944, kappa: 0.8358, kb_relative_information_score: 839.2783, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9439, predictive_accuracy: 0.9446, prior_entropy: 0.7637, recall: 0.9446, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4805, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, build_cpu_time: 0.1009, build_memory: 736018456.5329, f_measure: 0.944, kappa: 0.8358, kb_relative_information_score: 839.2783, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9439, predictive_accuracy: 0.9446, prior_entropy: 0.7637, recall: 0.9446, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4805, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, build_cpu_time: 0.0031, build_memory: 61178988.5675, f_measure: 0.9246, kappa: 0.7808, kb_relative_information_score: 822.3418, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9244, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.6292, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, build_cpu_time: 0.0035, build_memory: 2559336702.09, f_measure: 0.9246, kappa: 0.7808, kb_relative_information_score: 822.3418, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9244, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.6292, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, build_cpu_time: 0.004, build_memory: 2172608102.1177, f_measure: 0.9246, kappa: 0.7808, kb_relative_information_score: 822.3418, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9244, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.6292, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, build_cpu_time: 0.005, build_memory: 85940760.7751, f_measure: 0.9246, kappa: 0.7808, kb_relative_information_score: 822.3418, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9244, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.6292, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, build_cpu_time: 0.0077, build_memory: 927053589.6332, f_measure: 0.9246, kappa: 0.7808, kb_relative_information_score: 822.3418, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9244, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.6292, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, build_cpu_time: 0.061, build_memory: 65228843.564, f_measure: 0.9403, kappa: 0.8245, kb_relative_information_score: 920.473, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9402, predictive_accuracy: 0.9412, prior_entropy: 0.7637, recall: 0.9412, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.5407, scimark_benchmark: 944.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, build_cpu_time: 0.0614, build_memory: 916594786.519, f_measure: 0.9403, kappa: 0.8245, kb_relative_information_score: 920.473, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9402, predictive_accuracy: 0.9412, prior_entropy: 0.7637, recall: 0.9412, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.5407, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, build_cpu_time: 0.0625, build_memory: 1465093212.3391, f_measure: 0.9403, kappa: 0.8245, kb_relative_information_score: 920.473, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9402, predictive_accuracy: 0.9412, prior_entropy: 0.7637, recall: 0.9412, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.5407, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, build_cpu_time: 0.0464, build_memory: 452046136.4567, f_measure: 0.9405, kappa: 0.8255, kb_relative_information_score: 918.5532, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9403, predictive_accuracy: 0.9412, prior_entropy: 0.7637, recall: 0.9412, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.223, root_relative_squared_error: 0.5372, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, build_cpu_time: 0.0368, build_memory: 1022744591.308, f_measure: 0.9307, kappa: 0.7964, kb_relative_information_score: 883.0283, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9305, predictive_accuracy: 0.9317, prior_entropy: 0.7637, recall: 0.9317, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5701, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, build_cpu_time: 1.8619, build_memory: 726636174.0692, f_measure: 0.9149, kappa: 0.7521, kb_relative_information_score: 785.1117, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9146, predictive_accuracy: 0.9152, prior_entropy: 0.7637, recall: 0.9152, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.6179, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, build_cpu_time: 3.5191, build_memory: 1367004009.2457, f_measure: 0.9176, kappa: 0.7607, kb_relative_information_score: 805.732, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9175, predictive_accuracy: 0.9178, prior_entropy: 0.7637, recall: 0.9178, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.6023, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, build_cpu_time: 9.2761, build_memory: 1411162005.1211, f_measure: 0.9207, kappa: 0.7681, kb_relative_information_score: 817.9111, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9203, predictive_accuracy: 0.9213, prior_entropy: 0.7637, recall: 0.9213, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.5966, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, build_cpu_time: 10.9949, build_memory: 1084453150.5121, f_measure: 0.9207, kappa: 0.7681, kb_relative_information_score: 826.4231, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9203, predictive_accuracy: 0.9213, prior_entropy: 0.7637, recall: 0.9213, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.5913, scimark_benchmark: 945.1987,
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: 947.4269, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.8203, kappa: 0.4337, kb_relative_information_score: 577.3665, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8643, predictive_accuracy: 0.8495, prior_entropy: 0.7637, recall: 0.8495, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9344, scimark_benchmark: 934.6252, usercpu_time_millis: 1040, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9343, kappa: 0.8073, kb_relative_information_score: 837.3753, mean_absolute_error: 0.091, 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: 0.2636, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.5361, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9461, kappa: 0.8431, kb_relative_information_score: 944.3108, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.946, predictive_accuracy: 0.9464, prior_entropy: 0.7637, recall: 0.9464, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.486, scimark_benchmark: 945.6434, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9547, kappa: 0.8677, kb_relative_information_score: 976.6917, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9546, predictive_accuracy: 0.955, prior_entropy: 0.7637, recall: 0.955, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4983, scimark_benchmark: 942.6953, usercpu_time_millis: 3140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.9473, kappa: 0.8476, kb_relative_information_score: 951.3714, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9475, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.5535, scimark_benchmark: 945.9253, usercpu_time_millis: 580, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 530,
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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: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8982, kappa: 0.7056, kb_relative_information_score: 763.9409, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8985, predictive_accuracy: 0.8979, prior_entropy: 0.7637, recall: 0.8979, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.7085, scimark_benchmark: 1321.527,
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: 1319.5177, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, 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: 1350.9691, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9343, kappa: 0.8073, kb_relative_information_score: 837.3753, mean_absolute_error: 0.091, 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: 0.2636, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.5361, scimark_benchmark: 1363.434,
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: 1028.5889,
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: 1337.7959, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, 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: 934.4732, usercpu_time_millis: 132390, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 131930,
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, scimark_benchmark: 939.449, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9472, kappa: 0.8443, kb_relative_information_score: 906.7954, mean_absolute_error: 0.0721, 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: 0.2089, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4725, scimark_benchmark: 930.5999, usercpu_time_millis: 830, usercpu_time_millis_training: 830,
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: 1250.8301, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.769, kappa: 0.268, kb_relative_information_score: 461.2398, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8421, predictive_accuracy: 0.8192, prior_entropy: 0.7637, recall: 0.8192, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.024, scimark_benchmark: 1333.5799, usercpu_time_millis: 750, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.9278, kappa: 0.7897, kb_relative_information_score: 879.2959, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9276, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.268, root_relative_squared_error: 0.6453, scimark_benchmark: 1442.7264, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9435, kappa: 0.8353, kb_relative_information_score: 875.883, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9433, predictive_accuracy: 0.9438, prior_entropy: 0.7637, recall: 0.9438, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.5044, scimark_benchmark: 1363.454, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
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: 1287.514, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9238, kappa: 0.7813, kb_relative_information_score: 815.6596, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.925, predictive_accuracy: 0.923, prior_entropy: 0.7637, recall: 0.923, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.6001, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9279, kappa: 0.7927, kb_relative_information_score: 836.4089, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9288, predictive_accuracy: 0.9273, prior_entropy: 0.7637, recall: 0.9273, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.234, root_relative_squared_error: 0.5636, scimark_benchmark: 1404.1865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9309, kappa: 0.7999, kb_relative_information_score: 859.9246, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.931, predictive_accuracy: 0.9308, prior_entropy: 0.7637, recall: 0.9308, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.539, scimark_benchmark: 1330.0694, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9386, kappa: 0.8221, kb_relative_information_score: 890.7967, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9387, predictive_accuracy: 0.9386, prior_entropy: 0.7637, recall: 0.9386, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4994, scimark_benchmark: 932.0242, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9426, kappa: 0.8326, kb_relative_information_score: 910.1915, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9424, predictive_accuracy: 0.9429, prior_entropy: 0.7637, recall: 0.9429, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4824, scimark_benchmark: 1304.6687, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
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: 901.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9364, kappa: 0.8145, kb_relative_information_score: 818.8861, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9362, predictive_accuracy: 0.9369, prior_entropy: 0.7637, recall: 0.9369, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.5265, scimark_benchmark: 924.1296, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9374, kappa: 0.8173, kb_relative_information_score: 820.0038, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9371, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.5254, scimark_benchmark: 1339.3974, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9355, kappa: 0.8117, kb_relative_information_score: 856.6193, mean_absolute_error: 0.0863, 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: 0.2501, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.5089, scimark_benchmark: 939.449, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9342, kappa: 0.8067, kb_relative_information_score: 664.6398, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.934, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5738, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9366, kappa: 0.8131, kb_relative_information_score: 677.4666, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9366, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.4552, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.5619, scimark_benchmark: 1321.527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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