Task
Supervised Classification on fri_c2_500_50

Supervised Classification on fri_c2_500_50

Task 3783 Supervised Classification fri_c2_500_50 552 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: 0.9434, build_cpu_time: 0.3796, build_memory: 93681464.8, f_measure: 0.8914, kappa: 0.7748, kb_relative_information_score: 338.3039, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9767, recall: 0.892, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5919, scimark_benchmark: 947.6317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, build_cpu_time: 0.8695, build_memory: 585261968, f_measure: 0.9015, kappa: 0.7955, kb_relative_information_score: 341.2567, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9022, predictive_accuracy: 0.902, prior_entropy: 0.9767, recall: 0.902, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.5788, scimark_benchmark: 943.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, build_cpu_time: 1.541, build_memory: 2953459071.2, f_measure: 0.8954, kappa: 0.7828, kb_relative_information_score: 340.2009, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8962, predictive_accuracy: 0.896, prior_entropy: 0.9767, recall: 0.896, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.5779, scimark_benchmark: 946.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, build_cpu_time: 3.0668, build_memory: 859836276, f_measure: 0.9033, kappa: 0.7992, kb_relative_information_score: 341.7213, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9046, predictive_accuracy: 0.904, prior_entropy: 0.9767, recall: 0.904, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.5703, scimark_benchmark: 941.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, build_cpu_time: 12.3016, build_memory: 559909498.4, f_measure: 0.9031, kappa: 0.7986, kb_relative_information_score: 329.2029, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9053, predictive_accuracy: 0.904, prior_entropy: 0.9767, recall: 0.904, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5637, scimark_benchmark: 940.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, build_cpu_time: 1.223, build_memory: 2189049359.2, f_measure: 0.8976, kappa: 0.7877, kb_relative_information_score: 391.849, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8978, predictive_accuracy: 0.898, prior_entropy: 0.9767, recall: 0.898, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6276, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 2.3915, build_memory: 673982944, f_measure: 0.9097, kappa: 0.813, kb_relative_information_score: 402.9776, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9099, predictive_accuracy: 0.91, prior_entropy: 0.9767, recall: 0.91, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.5973, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, build_cpu_time: 5.5637, build_memory: 1769229870.4, f_measure: 0.9118, kappa: 0.8173, kb_relative_information_score: 409.6614, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 0.9767, recall: 0.912, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5836, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, build_cpu_time: 9.3875, build_memory: 814361381.6, f_measure: 0.9078, kappa: 0.809, kb_relative_information_score: 404.4935, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9078, predictive_accuracy: 0.908, prior_entropy: 0.9767, recall: 0.908, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.603, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, build_cpu_time: 23.8044, build_memory: 1746376570.4, f_measure: 0.9077, kappa: 0.8087, kb_relative_information_score: 402.9154, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9767, recall: 0.908, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6127, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, build_cpu_time: 60.5281, build_memory: 156589726.4, f_measure: 0.9013, kappa: 0.7948, kb_relative_information_score: 332.5497, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9027, predictive_accuracy: 0.902, prior_entropy: 0.9767, recall: 0.902, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5672, scimark_benchmark: 942.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, build_cpu_time: 30.0695, build_memory: 1448246206.4, f_measure: 0.8973, kappa: 0.7868, kb_relative_information_score: 331.0979, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8984, predictive_accuracy: 0.898, prior_entropy: 0.9767, recall: 0.898, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5746, scimark_benchmark: 944.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, build_cpu_time: 30.5012, build_memory: 78354978.4, f_measure: 0.8973, kappa: 0.7868, kb_relative_information_score: 331.0979, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8984, predictive_accuracy: 0.898, prior_entropy: 0.9767, recall: 0.898, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5746, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, build_cpu_time: 15.9378, build_memory: 100903505.6, f_measure: 0.8991, kappa: 0.7902, kb_relative_information_score: 331.8203, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9012, predictive_accuracy: 0.9, prior_entropy: 0.9767, recall: 0.9, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.574, scimark_benchmark: 944.8884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, build_cpu_time: 7.7224, build_memory: 721473187.2, f_measure: 0.9053, kappa: 0.8032, kb_relative_information_score: 331.6322, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9068, predictive_accuracy: 0.906, prior_entropy: 0.9767, recall: 0.906, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.5788, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, build_cpu_time: 4.3756, build_memory: 3253580595.2, f_measure: 0.9014, kappa: 0.7952, kb_relative_information_score: 328.3118, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9024, predictive_accuracy: 0.902, prior_entropy: 0.9767, recall: 0.902, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.5927, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, build_cpu_time: 0.0021, build_memory: 1042295090.4, f_measure: 0.8033, kappa: 0.5982, kb_relative_information_score: 197.0693, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8086, predictive_accuracy: 0.802, prior_entropy: 0.9767, recall: 0.802, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7942, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, build_cpu_time: 0.0034, build_memory: 826861017.6, f_measure: 0.8014, kappa: 0.595, kb_relative_information_score: 200.321, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8078, predictive_accuracy: 0.8, prior_entropy: 0.9767, recall: 0.8, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7923, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, build_cpu_time: 0.0162, build_memory: 1439422980.8, f_measure: 0.8014, kappa: 0.595, kb_relative_information_score: 199.6417, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8078, predictive_accuracy: 0.8, prior_entropy: 0.9767, recall: 0.8, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7901, scimark_benchmark: 1225.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, build_cpu_time: 1.981, build_memory: 433894889.6, f_measure: 0.6561, kappa: 0.2845, kb_relative_information_score: 125.3397, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6552, predictive_accuracy: 0.66, prior_entropy: 0.9767, recall: 0.66, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0245, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, build_cpu_time: 0.0132, build_memory: 2405068074.4, f_measure: 0.8035, kappa: 0.6, kb_relative_information_score: 203.2894, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8111, predictive_accuracy: 0.802, prior_entropy: 0.9767, recall: 0.802, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7898, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, build_cpu_time: 0.026, build_memory: 608979520, f_measure: 0.8035, kappa: 0.6, kb_relative_information_score: 204.1804, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8111, predictive_accuracy: 0.802, prior_entropy: 0.9767, recall: 0.802, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7891, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, build_cpu_time: 1842.2535, build_memory: 680300029.6, f_measure: 0.736, kappa: 0.4543, kb_relative_information_score: 172.7618, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.736, predictive_accuracy: 0.736, prior_entropy: 0.9767, recall: 0.736, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.891, scimark_benchmark: 906.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, build_cpu_time: 831.9524, build_memory: 103510489.6, f_measure: 0.7339, kappa: 0.4498, kb_relative_information_score: 173.7821, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7338, predictive_accuracy: 0.734, prior_entropy: 0.9767, recall: 0.734, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8901, scimark_benchmark: 876.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, build_cpu_time: 0.6815, build_memory: 1945272908.8, f_measure: 0.7907, kappa: 0.5695, kb_relative_information_score: 188.9355, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7923, predictive_accuracy: 0.79, prior_entropy: 0.9767, recall: 0.79, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8673, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, build_cpu_time: 0.6644, build_memory: 1427735764, f_measure: 0.7907, kappa: 0.5695, kb_relative_information_score: 188.9355, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7923, predictive_accuracy: 0.79, prior_entropy: 0.9767, recall: 0.79, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8673, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, build_cpu_time: 0.3019, build_memory: 613021965.6, f_measure: 0.8356, kappa: 0.6595, kb_relative_information_score: 288.4429, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8355, predictive_accuracy: 0.836, prior_entropy: 0.9767, recall: 0.836, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7084, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, build_cpu_time: 0.2893, build_memory: 532932512.8, f_measure: 0.8356, kappa: 0.6595, kb_relative_information_score: 288.4429, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8355, predictive_accuracy: 0.836, prior_entropy: 0.9767, recall: 0.836, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7084, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, build_cpu_time: 0.0526, build_memory: 341535972.8, f_measure: 0.8301, kappa: 0.6489, kb_relative_information_score: 285.5173, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 0.9767, recall: 0.83, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7213, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, build_cpu_time: 2.049, build_memory: 1449596727.2, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 196.4205, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9767, recall: 0.876, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7254, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, build_cpu_time: 8.2289, build_memory: 1886591420.8, f_measure: 0.8736, kappa: 0.7382, kb_relative_information_score: 198.4786, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8736, predictive_accuracy: 0.874, prior_entropy: 0.9767, recall: 0.874, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7206, scimark_benchmark: 846.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, build_cpu_time: 29.8036, build_memory: 875416916, f_measure: 0.8658, kappa: 0.7224, kb_relative_information_score: 198.8542, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8658, predictive_accuracy: 0.866, prior_entropy: 0.9767, recall: 0.866, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7208, scimark_benchmark: 942.3388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, build_cpu_time: 0.2734, build_memory: 397323912, f_measure: 0.848, kappa: 0.6858, kb_relative_information_score: 215.1072, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9767, recall: 0.848, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7023, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, build_cpu_time: 0.2856, build_memory: 734852724.8, f_measure: 0.848, kappa: 0.6858, kb_relative_information_score: 215.1072, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9767, recall: 0.848, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7023, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, build_cpu_time: 0.08, build_memory: 3562995755.2, f_measure: 0.8361, kappa: 0.6615, kb_relative_information_score: 203.8711, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9767, recall: 0.836, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7394, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, build_cpu_time: 0.2239, build_memory: 1765893302.4, f_measure: 0.8888, kappa: 0.7687, kb_relative_information_score: 325.9883, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8916, predictive_accuracy: 0.89, prior_entropy: 0.9767, recall: 0.89, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.5832, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, build_cpu_time: 0.2075, build_memory: 1666978182.4, f_measure: 0.8888, kappa: 0.7687, kb_relative_information_score: 325.9883, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8916, predictive_accuracy: 0.89, prior_entropy: 0.9767, recall: 0.89, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.5832, scimark_benchmark: 947.4258,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, build_cpu_time: 2.5857, build_memory: 68475603.2, f_measure: 0.8976, kappa: 0.7877, kb_relative_information_score: 388.3202, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8978, predictive_accuracy: 0.898, prior_entropy: 0.9767, recall: 0.898, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6199, scimark_benchmark: 919.5971,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, build_cpu_time: 35.5914, build_memory: 723740177.6, f_measure: 0.9197, kappa: 0.8334, kb_relative_information_score: 416.5439, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.9201, predictive_accuracy: 0.92, prior_entropy: 0.9767, recall: 0.92, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.5626, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, build_cpu_time: 8.296, build_memory: 578470621.6, f_measure: 0.9015, kappa: 0.7958, kb_relative_information_score: 396.093, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.902, predictive_accuracy: 0.902, prior_entropy: 0.9767, recall: 0.902, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6161, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, build_cpu_time: 2.2174, build_memory: 161298799.2, f_measure: 0.868, kappa: 0.7272, kb_relative_information_score: 355.5141, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9767, recall: 0.868, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6931, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, build_cpu_time: 10.4356, build_memory: 1480493666.4, f_measure: 0.848, kappa: 0.6858, kb_relative_information_score: 339.2062, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9767, recall: 0.848, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7473, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, build_cpu_time: 21.4984, build_memory: 119204887.2, f_measure: 0.8697, kappa: 0.7303, kb_relative_information_score: 363.4502, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.9767, recall: 0.87, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7096, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, build_cpu_time: 44.954, build_memory: 105064502.4, f_measure: 0.8736, kappa: 0.7382, kb_relative_information_score: 366.5381, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8736, predictive_accuracy: 0.874, prior_entropy: 0.9767, recall: 0.874, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7182, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, build_cpu_time: 92.1767, build_memory: 210368756, f_measure: 0.8818, kappa: 0.7552, kb_relative_information_score: 376.0034, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8817, predictive_accuracy: 0.882, prior_entropy: 0.9767, recall: 0.882, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6914, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, build_cpu_time: 191.2086, build_memory: 379966666.4, f_measure: 0.8958, kappa: 0.7844, kb_relative_information_score: 390.4442, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8958, predictive_accuracy: 0.896, prior_entropy: 0.9767, recall: 0.896, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6539, scimark_benchmark: 943.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 1220.1516, build_memory: 280920124, f_measure: 0.8794, kappa: 0.7497, kb_relative_information_score: 375.7689, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9767, recall: 0.88, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6863, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, build_cpu_time: 645.1186, build_memory: 28026288, f_measure: 0.8777, kappa: 0.7465, kb_relative_information_score: 376.2822, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8777, predictive_accuracy: 0.878, prior_entropy: 0.9767, recall: 0.878, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6737, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, build_cpu_time: 316.4047, build_memory: 24740896, f_measure: 0.87, kappa: 0.7311, kb_relative_information_score: 364.7084, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9767, recall: 0.87, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6908, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, build_cpu_time: 149.7622, build_memory: 1286893085.6, f_measure: 0.8681, kappa: 0.7276, kb_relative_information_score: 354.7395, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 0.9767, recall: 0.868, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6949, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, build_cpu_time: 79.2783, build_memory: 16414311.2, f_measure: 0.8525, kappa: 0.6963, kb_relative_information_score: 329.3161, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8537, predictive_accuracy: 0.852, prior_entropy: 0.9767, recall: 0.852, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6989, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, build_cpu_time: 0.236, build_memory: 3057196964.8, f_measure: 0.7188, kappa: 0.4169, kb_relative_information_score: 187.8206, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7183, predictive_accuracy: 0.72, prior_entropy: 0.9767, recall: 0.72, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9088, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, build_cpu_time: 0.2973, build_memory: 843282924.8, f_measure: 0.7188, kappa: 0.4169, kb_relative_information_score: 187.8206, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7183, predictive_accuracy: 0.72, prior_entropy: 0.9767, recall: 0.72, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9088, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, build_cpu_time: 0.2172, build_memory: 896664713.6, f_measure: 0.7188, kappa: 0.4169, kb_relative_information_score: 187.8206, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7183, predictive_accuracy: 0.72, prior_entropy: 0.9767, recall: 0.72, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9088, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, build_cpu_time: 0.233, build_memory: 1450550839.2, f_measure: 0.7188, kappa: 0.4169, kb_relative_information_score: 187.8206, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7183, predictive_accuracy: 0.72, prior_entropy: 0.9767, recall: 0.72, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9088, scimark_benchmark: 937.9119,

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