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: 0.8954, 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: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.9215, kappa: 0.7643, kb_relative_information_score: 870.6708, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9243, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.6442, scimark_benchmark: 931.2336, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.924, kappa: 0.7714, kb_relative_information_score: 850.8765, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9275, predictive_accuracy: 0.9273, prior_entropy: 0.7637, recall: 0.9273, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.6024, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, 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,
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: 923.7642, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, 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: 0.9776, 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: 936.7115, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, 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: 938.2848, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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: 936.6206, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 933.8635, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9528, kappa: 0.8618, kb_relative_information_score: 933.5416, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9527, predictive_accuracy: 0.9533, prior_entropy: 0.7637, recall: 0.9533, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4607, scimark_benchmark: 936.6206, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9537, kappa: 0.8642, kb_relative_information_score: 928.5174, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9536, predictive_accuracy: 0.9542, prior_entropy: 0.7637, recall: 0.9542, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.4524, scimark_benchmark: 924.6116, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 0.9822, 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: 932.3943, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9227, kappa: 0.7752, kb_relative_information_score: 815.6891, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9225, predictive_accuracy: 0.923, prior_entropy: 0.7637, recall: 0.923, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.5503, scimark_benchmark: 929.566,
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: 943.2817,
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: 0.9728, 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: 0.9791, 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: 0.4953, 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: 0.9747, 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: 0.5, 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: 0.8954, 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: 0.965, 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: 0.9466, 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: 0.9756, 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: 0.9334, 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: 0.9322, 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: 0.9599, 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: 0.9845, 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: 0.975, 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: 0.6671, 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: 0.8823, 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: 0.9721, 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: 0.9697, 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: 0.9683, 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: 0.9657, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, build_cpu_time: 0.1905, build_memory: 1582813498.1038, f_measure: 0.9503, kappa: 0.8548, kb_relative_information_score: 963.9404, mean_absolute_error: 0.0499, 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: 0.1447, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.5308, scimark_benchmark: 890.3066,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, build_cpu_time: 0.5005, build_memory: 1356052338.5882, 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: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, build_cpu_time: 0.0662, build_memory: 101992182.6713, 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: 925.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, build_cpu_time: 6.1859, build_memory: 1431577770.1038, f_measure: 0.9502, kappa: 0.8544, kb_relative_information_score: 961.9105, mean_absolute_error: 0.0503, 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: 0.1457, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.5333, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, build_cpu_time: 2.8663, build_memory: 2392327911.7093, 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: 892.0716,
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: 0.975, build_cpu_time: 0.0024, build_memory: 2191095835.6817, 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: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, build_cpu_time: 0.0715, build_memory: 1320143632.0208, 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: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, build_cpu_time: 0.0327, build_memory: 220316258.8097, f_measure: 0.9273, kappa: 0.7917, kb_relative_information_score: 801.8927, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9287, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5908, scimark_benchmark: 937.1859,
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: 0.8472, build_cpu_time: 0.124, build_memory: 224673389.1419, 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: 943.1817,

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