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: 0.9716, build_cpu_time: 0.2368, build_memory: 733315353.3633, f_measure: 0.9506, kappa: 0.8564, kb_relative_information_score: 963.4393, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9505, predictive_accuracy: 0.9507, prior_entropy: 0.7637, recall: 0.9507, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.5211, scimark_benchmark: 941.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, build_cpu_time: 0.2675, build_memory: 581714932.7474, f_measure: 0.9506, kappa: 0.8564, kb_relative_information_score: 963.4393, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9505, predictive_accuracy: 0.9507, prior_entropy: 0.7637, recall: 0.9507, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.5211, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, build_cpu_time: 0.5107, build_memory: 913466318.7197, f_measure: 0.954, kappa: 0.8661, kb_relative_information_score: 977.3922, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9539, predictive_accuracy: 0.9542, prior_entropy: 0.7637, recall: 0.9542, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.5043, scimark_benchmark: 938.0657,
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: 0.9646, 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: 0.9846, 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: 0.946, 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: 0.0171, 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: 0.9561, 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: 0.946, 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: 0.022, 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: 0.9677, 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: 0.9586, 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: 0.9756, f_measure: 0.9366, kappa: 0.8156, kb_relative_information_score: 895.9647, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9365, predictive_accuracy: 0.9369, prior_entropy: 0.7637, recall: 0.9369, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.5218, scimark_benchmark: 901.0726, usercpu_time_millis: 4430, usercpu_time_millis_testing: 4420, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9196, kappa: 0.767, kb_relative_information_score: 730.2753, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9197, predictive_accuracy: 0.9196, prior_entropy: 0.7637, recall: 0.9196, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.5866, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9424, kappa: 0.8316, kb_relative_information_score: 496.3011, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9422, predictive_accuracy: 0.9429, prior_entropy: 0.7637, recall: 0.9429, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.271, root_relative_squared_error: 0.6527, scimark_benchmark: 947.9494, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
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: 929.0255,
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: 0.9845, 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: 0.9322, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9234, kappa: 0.7767, kb_relative_information_score: 813.75, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9231, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5493, scimark_benchmark: 911.0478, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9399, kappa: 0.8247, kb_relative_information_score: 841.2774, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9397, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.5021, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 0.9599, 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: 0.5, f_measure: 0.6816, kb_relative_information_score: 305.2982, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.6061, predictive_accuracy: 0.7785, prior_entropy: 0.7637, recall: 0.7785, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.1333, scimark_benchmark: 902.4773,
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: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9456, kappa: 0.8426, kb_relative_information_score: 944.6731, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9457, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.5622, scimark_benchmark: 889.9795, usercpu_time_millis: 320, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, build_cpu_time: 0.1261, build_memory: 912650398.9481, f_measure: 0.9388, kappa: 0.8209, kb_relative_information_score: 929.9061, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9386, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5572, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, build_cpu_time: 0.1217, build_memory: 500268731.5225, f_measure: 0.9388, kappa: 0.8209, kb_relative_information_score: 929.9061, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9386, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5572, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.8038, build_memory: 893026948.526, f_measure: 0.955, kappa: 0.8695, kb_relative_information_score: 981.6044, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 0.7637, recall: 0.955, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4968, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, build_cpu_time: 1.7938, build_memory: 1237832765.4325, f_measure: 0.9523, kappa: 0.8611, kb_relative_information_score: 972.4889, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9521, predictive_accuracy: 0.9524, prior_entropy: 0.7637, recall: 0.9524, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.5171, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 124.6979, build_memory: 55446732.7266, f_measure: 0.947, kappa: 0.8455, kb_relative_information_score: 918.6607, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9468, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4599, scimark_benchmark: 942.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 56.1509, build_memory: 49673097.308, f_measure: 0.9494, kappa: 0.852, kb_relative_information_score: 917.7715, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9492, predictive_accuracy: 0.9498, prior_entropy: 0.7637, recall: 0.9498, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4572, scimark_benchmark: 942.9616,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, build_cpu_time: 0.0004, build_memory: 883924403.1003, 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: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, build_cpu_time: 0.4148, build_memory: 773209308.3599, 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: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, build_cpu_time: 0.017, build_memory: 684981701.0657, 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: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, build_cpu_time: 0.1078, build_memory: 136663565.1903, 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: 919.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, build_cpu_time: 0.2636, build_memory: 998956810.3322, f_measure: 0.9408, kappa: 0.827, kb_relative_information_score: 827.1486, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9405, predictive_accuracy: 0.9412, prior_entropy: 0.7637, recall: 0.9412, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.5239, scimark_benchmark: 945.6149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, build_cpu_time: 0.1655, build_memory: 1298062596.3253, f_measure: 0.9415, kappa: 0.8288, kb_relative_information_score: 826.0053, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9413, predictive_accuracy: 0.942, prior_entropy: 0.7637, recall: 0.942, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.5255, scimark_benchmark: 936.1991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, build_cpu_time: 6.6308, build_memory: 264791641.7647, f_measure: 0.9409, kappa: 0.828, kb_relative_information_score: 847.801, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9407, predictive_accuracy: 0.9412, prior_entropy: 0.7637, recall: 0.9412, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.5141, scimark_benchmark: 789.6774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, build_cpu_time: 0.1394, build_memory: 697402193.6955, 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: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, build_cpu_time: 0.165, build_memory: 277293765.8824, 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: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, build_cpu_time: 9.7309, build_memory: 804758062.2284, f_measure: 0.914, kappa: 0.7449, kb_relative_information_score: 828.8652, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.914, predictive_accuracy: 0.9161, prior_entropy: 0.7637, recall: 0.9161, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.6076, scimark_benchmark: 921.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, build_cpu_time: 4.9367, build_memory: 765056208.3875, f_measure: 0.912, kappa: 0.7389, kb_relative_information_score: 828.0829, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9121, predictive_accuracy: 0.9144, prior_entropy: 0.7637, recall: 0.9144, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.254, root_relative_squared_error: 0.6118, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, build_cpu_time: 5.5652, build_memory: 244915667.3426, f_measure: 0.912, kappa: 0.7389, kb_relative_information_score: 828.0829, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9121, predictive_accuracy: 0.9144, prior_entropy: 0.7637, recall: 0.9144, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.254, root_relative_squared_error: 0.6118, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, build_cpu_time: 1.2378, build_memory: 784177571.564, f_measure: 0.9135, kappa: 0.7426, kb_relative_information_score: 824.4975, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.914, predictive_accuracy: 0.9161, prior_entropy: 0.7637, recall: 0.9161, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.255, root_relative_squared_error: 0.614, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, build_cpu_time: 1.7215, build_memory: 711111360.1522, f_measure: 0.9321, kappa: 0.7998, kb_relative_information_score: 860.5847, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9321, predictive_accuracy: 0.9334, prior_entropy: 0.7637, recall: 0.9334, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5637, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, build_cpu_time: 0.0894, build_memory: 1208065940.1038, f_measure: 0.95, kappa: 0.8531, kb_relative_information_score: 846.9845, mean_absolute_error: 0.094, 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: 0.2724, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4758, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, build_cpu_time: 0.0236, build_memory: 3312600370.8235, f_measure: 0.9544, kappa: 0.8662, kb_relative_information_score: 849.1265, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9545, predictive_accuracy: 0.955, prior_entropy: 0.7637, recall: 0.955, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4787, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, build_cpu_time: 0.0868, build_memory: 828023672.692, 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: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, build_cpu_time: 3.191, build_memory: 252263590.6644, f_measure: 0.9116, kappa: 0.7365, kb_relative_information_score: 826.0842, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9122, predictive_accuracy: 0.9144, prior_entropy: 0.7637, recall: 0.9144, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.6131, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, build_cpu_time: 0.316, build_memory: 699563736.872, f_measure: 0.9383, kappa: 0.8201, kb_relative_information_score: 822.7993, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9381, predictive_accuracy: 0.9386, prior_entropy: 0.7637, recall: 0.9386, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.5207, scimark_benchmark: 946.7087,
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: 943.6956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9373, kappa: 0.8196, kb_relative_information_score: 904.4214, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.938, predictive_accuracy: 0.9369, prior_entropy: 0.7637, recall: 0.9369, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4883, scimark_benchmark: 932.3943, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9486, kappa: 0.8501, kb_relative_information_score: 902.6432, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9485, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4651, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 239.7243, build_memory: 225991876.7889, f_measure: 0.9461, kappa: 0.8427, kb_relative_information_score: 917.9672, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9459, predictive_accuracy: 0.9464, prior_entropy: 0.7637, recall: 0.9464, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4603, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, 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: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, 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: 876.8277, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs