Task
Supervised Classification on fri_c3_250_10

Supervised Classification on fri_c3_250_10

Task 3658 Supervised Classification fri_c3_250_10 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.0399, build_memory: 557702885.6, f_measure: 0.8958, kappa: 0.7901, kb_relative_information_score: 166.687, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8961, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.283, root_relative_squared_error: 0.5678, scimark_benchmark: 905.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8759, kappa: 0.7499, kb_relative_information_score: 166.5199, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 0.9955, recall: 0.876, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.5694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, build_cpu_time: 0.1997, build_memory: 322686264.8, f_measure: 0.8838, kappa: 0.7658, kb_relative_information_score: 166.9366, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8842, predictive_accuracy: 0.884, prior_entropy: 0.9955, recall: 0.884, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.283, root_relative_squared_error: 0.5678, scimark_benchmark: 937.8413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, build_cpu_time: 0.3007, build_memory: 597441019.2, f_measure: 0.8877, kappa: 0.7737, kb_relative_information_score: 167.0137, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8885, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 947.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, build_cpu_time: 1.129, build_memory: 1266170792, f_measure: 0.9077, kappa: 0.814, kb_relative_information_score: 166.4298, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5421, scimark_benchmark: 943.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, build_cpu_time: 0.6969, build_memory: 1801509333.6, f_measure: 0.8997, kappa: 0.7978, kb_relative_information_score: 166.0379, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9008, predictive_accuracy: 0.9, prior_entropy: 0.9955, recall: 0.9, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5443, scimark_benchmark: 937.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, build_cpu_time: 0.1193, build_memory: 47140341.6, f_measure: 0.8918, kappa: 0.7819, kb_relative_information_score: 197.2526, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8923, predictive_accuracy: 0.892, prior_entropy: 0.9955, recall: 0.892, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6271, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, build_cpu_time: 0.2674, build_memory: 96052672, f_measure: 0.9037, kappa: 0.8058, kb_relative_information_score: 200.8252, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9052, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6149, scimark_benchmark: 941.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, build_cpu_time: 0.5782, build_memory: 1560981857.6, f_measure: 0.9038, kappa: 0.806, kb_relative_information_score: 201.5636, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9046, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.613, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, build_cpu_time: 0.9574, build_memory: 1290271416.8, f_measure: 0.9157, kappa: 0.8302, kb_relative_information_score: 208.5022, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9169, predictive_accuracy: 0.916, prior_entropy: 0.9955, recall: 0.916, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.5683, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, build_cpu_time: 1.866, build_memory: 971430094.4, f_measure: 0.9159, kappa: 0.8306, kb_relative_information_score: 207.7979, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9161, predictive_accuracy: 0.916, prior_entropy: 0.9955, recall: 0.916, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.288, root_relative_squared_error: 0.5778, scimark_benchmark: 946.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, build_cpu_time: 18.2996, build_memory: 62421764.8, f_measure: 0.908, kappa: 0.8147, kb_relative_information_score: 168.7263, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5501, scimark_benchmark: 946.2126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, build_cpu_time: 8.8608, build_memory: 1807823388, f_measure: 0.9, kappa: 0.7988, kb_relative_information_score: 168.892, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9955, recall: 0.9, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.5523, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, build_cpu_time: 3.9205, build_memory: 1301786913.6, f_measure: 0.8921, kappa: 0.783, kb_relative_information_score: 167.9367, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9955, recall: 0.892, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5574, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, build_cpu_time: 2.874, build_memory: 833629896.8, f_measure: 0.9041, kappa: 0.807, kb_relative_information_score: 165.3471, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9042, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.5608, scimark_benchmark: 1035.3076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, build_cpu_time: 1.1718, build_memory: 108674385.6, f_measure: 0.8722, kappa: 0.7433, kb_relative_information_score: 162.5685, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8734, predictive_accuracy: 0.872, prior_entropy: 0.9955, recall: 0.872, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5822, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, build_cpu_time: 0.0023, build_memory: 1529683739.2, f_measure: 0.7518, kappa: 0.5002, kb_relative_information_score: 66.8795, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7517, predictive_accuracy: 0.752, prior_entropy: 0.9955, recall: 0.752, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8312, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, build_cpu_time: 0.0025, build_memory: 785191862.4, f_measure: 0.7681, kappa: 0.5336, kb_relative_information_score: 66.1656, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7684, predictive_accuracy: 0.768, prior_entropy: 0.9955, recall: 0.768, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8321, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, build_cpu_time: 0.3144, build_memory: 2166513425.6, f_measure: 0.6119, kappa: 0.2185, kb_relative_information_score: 43.5234, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6118, predictive_accuracy: 0.612, prior_entropy: 0.9955, recall: 0.612, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.0706, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, build_cpu_time: 0.0072, build_memory: 1226170721.6, f_measure: 0.7358, kappa: 0.4679, kb_relative_information_score: 65.7348, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7357, predictive_accuracy: 0.736, prior_entropy: 0.9955, recall: 0.736, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8404, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, build_cpu_time: 0.2082, build_memory: 65092204, f_measure: 0.6222, kappa: 0.2383, kb_relative_information_score: 35.9102, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6223, predictive_accuracy: 0.624, prior_entropy: 0.9955, recall: 0.624, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9967, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, build_cpu_time: 0.011, build_memory: 161800227.2, f_measure: 0.7356, kappa: 0.4672, kb_relative_information_score: 64.4221, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7356, predictive_accuracy: 0.736, prior_entropy: 0.9955, recall: 0.736, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8465, scimark_benchmark: 906.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, build_cpu_time: 0.0268, build_memory: 2066326544.8, f_measure: 0.7232, kappa: 0.4419, kb_relative_information_score: 64.3131, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7235, predictive_accuracy: 0.724, prior_entropy: 0.9955, recall: 0.724, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8483, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 69.9941, build_memory: 58302477.6, f_measure: 0.864, kappa: 0.7262, kb_relative_information_score: 151.1333, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9955, recall: 0.864, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.589, scimark_benchmark: 940.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, build_cpu_time: 25.9377, build_memory: 261655070.4, f_measure: 0.876, kappa: 0.7506, kb_relative_information_score: 151.2661, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9955, recall: 0.876, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.587, scimark_benchmark: 902.1678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, build_cpu_time: 0.0277, build_memory: 66557782.4, f_measure: 0.6523, kappa: 0.3009, kb_relative_information_score: 44.6392, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6528, predictive_accuracy: 0.652, prior_entropy: 0.9955, recall: 0.652, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9482, scimark_benchmark: 946.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, build_cpu_time: 0.0992, build_memory: 1157749091.2, f_measure: 0.6478, kappa: 0.2906, kb_relative_information_score: 39.6828, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6476, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9553, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, build_cpu_time: 0.1028, build_memory: 567135115.2, f_measure: 0.6478, kappa: 0.2906, kb_relative_information_score: 39.6828, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6476, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9553, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, build_cpu_time: 0.0571, build_memory: 214251357.6, f_measure: 0.864, kappa: 0.7262, kb_relative_information_score: 125.6189, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9955, recall: 0.864, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6661, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, build_cpu_time: 0.1081, build_memory: 86181503.2, f_measure: 0.8555, kappa: 0.7086, kb_relative_information_score: 154.8298, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9955, recall: 0.856, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.702, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, build_cpu_time: 0.1282, build_memory: 159120841.6, f_measure: 0.8555, kappa: 0.7086, kb_relative_information_score: 154.8298, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9955, recall: 0.856, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.702, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, build_cpu_time: 0.1097, build_memory: 441287905.6, f_measure: 0.884, kappa: 0.7664, kb_relative_information_score: 117.1729, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9955, recall: 0.884, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6787, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, build_cpu_time: 0.1482, build_memory: 457152538.4, f_measure: 0.884, kappa: 0.7664, kb_relative_information_score: 117.1729, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9955, recall: 0.884, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6787, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, build_cpu_time: 0.1364, build_memory: 278572188, f_measure: 0.884, kappa: 0.7664, kb_relative_information_score: 117.1729, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9955, recall: 0.884, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6787, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, build_cpu_time: 0.138, build_memory: 429061272, f_measure: 0.884, kappa: 0.7664, kb_relative_information_score: 117.1729, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9955, recall: 0.884, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6787, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, build_cpu_time: 0.2061, build_memory: 622025969.6, f_measure: 0.892, kappa: 0.7827, kb_relative_information_score: 117.1873, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9955, recall: 0.892, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6689, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, build_cpu_time: 0.0317, build_memory: 615008616, f_measure: 0.8596, kappa: 0.7169, kb_relative_information_score: 154.914, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8605, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7071, scimark_benchmark: 785.9104,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, build_cpu_time: 0.0204, build_memory: 960637408, f_measure: 0.6325, kappa: 0.2659, kb_relative_information_score: 64.2985, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.637, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2172, scimark_benchmark: 939.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, build_cpu_time: 0.0078, build_memory: 481303748, f_measure: 0.6237, kappa: 0.2422, kb_relative_information_score: 60.2619, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6235, predictive_accuracy: 0.624, prior_entropy: 0.9955, recall: 0.624, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2303, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0196, build_memory: 910866408.8, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, build_memory: 635519520, f_measure: 0.6311, kappa: 0.2564, kb_relative_information_score: 63.8762, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6309, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.604, root_relative_squared_error: 1.2118, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, build_cpu_time: 0.0122, build_memory: 521683194.4, f_measure: 0.8873, kappa: 0.7728, kb_relative_information_score: 177.9283, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8908, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6307, scimark_benchmark: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, build_cpu_time: 0.0549, build_memory: 220400544.8, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 946.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, build_cpu_time: 0.0016, build_memory: 171637459.2, f_measure: 0.8753, kappa: 0.7486, kb_relative_information_score: 166.0998, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8781, predictive_accuracy: 0.876, prior_entropy: 0.9955, recall: 0.876, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.5982, scimark_benchmark: 946.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, build_cpu_time: 0.1712, build_memory: 839229061.6, f_measure: 0.8919, kappa: 0.7822, kb_relative_information_score: 192.8359, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9955, recall: 0.892, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6464, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, build_cpu_time: 0.3322, build_memory: 128989240, f_measure: 0.5875, kappa: 0.1828, kb_relative_information_score: 37.6741, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5971, predictive_accuracy: 0.588, prior_entropy: 0.9955, recall: 0.588, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9631, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.1837, build_memory: 1217105562.4, f_measure: 0.9078, kappa: 0.8142, kb_relative_information_score: 199.9353, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9084, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.583, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, build_cpu_time: 0.29, build_memory: 1722154716.8, f_measure: 0.8959, kappa: 0.7904, kb_relative_information_score: 197.6719, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6333, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, build_cpu_time: 0.4965, build_memory: 1047743274.4, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 203.0094, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.299, root_relative_squared_error: 0.6, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, build_cpu_time: 0.8906, build_memory: 640839752.8, f_measure: 0.9118, kappa: 0.8222, kb_relative_information_score: 204.8352, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9126, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5935, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, build_cpu_time: 0.0095, build_memory: 268630662.4, f_measure: 0.6311, kappa: 0.2564, kb_relative_information_score: 63.8762, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6309, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.604, root_relative_squared_error: 1.2118, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, build_cpu_time: 0.017, build_memory: 545229178.4, f_measure: 0.6311, kappa: 0.2564, kb_relative_information_score: 63.8762, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6309, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.604, root_relative_squared_error: 1.2118, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, build_cpu_time: 0.7577, build_memory: 55427530.4, f_measure: 0.9238, kappa: 0.8465, kb_relative_information_score: 211.634, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9244, predictive_accuracy: 0.924, prior_entropy: 0.9955, recall: 0.924, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5531, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, build_cpu_time: 0.3729, build_memory: 1738403820.8, f_measure: 0.9277, kappa: 0.8543, kb_relative_information_score: 212.9541, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9294, predictive_accuracy: 0.928, prior_entropy: 0.9955, recall: 0.928, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.5405, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, build_cpu_time: 0.1865, build_memory: 280871904.8, f_measure: 0.9155, kappa: 0.8297, kb_relative_information_score: 206.7836, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9187, predictive_accuracy: 0.916, prior_entropy: 0.9955, recall: 0.916, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.5727, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, build_cpu_time: 0.1199, build_memory: 1963651607.2, f_measure: 0.9198, kappa: 0.8383, kb_relative_information_score: 208.5214, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9207, predictive_accuracy: 0.92, prior_entropy: 0.9955, recall: 0.92, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5643, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, build_cpu_time: 0.0447, build_memory: 1079135017.6, f_measure: 0.8956, kappa: 0.7896, kb_relative_information_score: 196.8741, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8971, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6221, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, build_cpu_time: 0.0977, build_memory: 1443083988, f_measure: 0.876, kappa: 0.7506, kb_relative_information_score: 187.7387, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9955, recall: 0.876, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6499, scimark_benchmark: 906.6607,

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