OpenML
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: 0.7738, build_cpu_time: 0.0064, build_memory: 822949749.6, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3948, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, build_cpu_time: 0.0065, build_memory: 261373511.2, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3948, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, build_cpu_time: 0.0065, build_memory: 108400984.8, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3948, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733, scimark_benchmark: 947.3376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, build_cpu_time: 0.0067, build_memory: 236346008, f_measure: 0.7928, kappa: 0.5739, kb_relative_information_score: 196.3948, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.7945, predictive_accuracy: 0.792, prior_entropy: 0.9767, recall: 0.792, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8733, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, build_cpu_time: 1.449, build_memory: 497153635.2, f_measure: 0.6686, kappa: 0.3272, kb_relative_information_score: 133.9189, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6777, predictive_accuracy: 0.666, prior_entropy: 0.9767, recall: 0.666, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9947, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, build_cpu_time: 1.0454, build_memory: 277473700.8, f_measure: 0.6686, kappa: 0.3272, kb_relative_information_score: 133.9189, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6777, predictive_accuracy: 0.666, prior_entropy: 0.9767, recall: 0.666, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9947, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, build_cpu_time: 1.02, build_memory: 728720076.8, f_measure: 0.6765, kappa: 0.3323, kb_relative_information_score: 139.9498, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.677, predictive_accuracy: 0.676, prior_entropy: 0.9767, recall: 0.676, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0076, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, build_cpu_time: 1.9562, build_memory: 87696932, f_measure: 0.6828, kappa: 0.3461, kb_relative_information_score: 144.183, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6838, predictive_accuracy: 0.682, prior_entropy: 0.9767, recall: 0.682, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9874, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, build_cpu_time: 3.9996, build_memory: 445834994.4, f_measure: 0.6903, kappa: 0.3607, kb_relative_information_score: 149.8883, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6907, predictive_accuracy: 0.69, prior_entropy: 0.9767, recall: 0.69, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9781, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, build_cpu_time: 6.958, build_memory: 1049628719.2, f_measure: 0.6962, kappa: 0.3726, kb_relative_information_score: 152.8975, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6965, predictive_accuracy: 0.696, prior_entropy: 0.9767, recall: 0.696, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9701, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, build_cpu_time: 14.2981, build_memory: 3260193888.8, f_measure: 0.6918, kappa: 0.3624, kb_relative_information_score: 153.1688, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.6916, predictive_accuracy: 0.692, prior_entropy: 0.9767, recall: 0.692, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9709, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 1.4559, build_memory: 1212831117.6, f_measure: 0.8889, kappa: 0.769, kb_relative_information_score: 326.9027, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8912, predictive_accuracy: 0.89, prior_entropy: 0.9767, recall: 0.89, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5781, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 1.2667, build_memory: 648426632, f_measure: 0.8889, kappa: 0.769, kb_relative_information_score: 326.9027, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8912, predictive_accuracy: 0.89, prior_entropy: 0.9767, recall: 0.89, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5781, scimark_benchmark: 933.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, build_cpu_time: 0.6739, build_memory: 558098056.8, f_measure: 0.8848, kappa: 0.7603, kb_relative_information_score: 325.5441, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8875, predictive_accuracy: 0.886, prior_entropy: 0.9767, recall: 0.886, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.5814, scimark_benchmark: 944.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, build_cpu_time: 0.4053, build_memory: 1034793600, f_measure: 0.8949, kappa: 0.7815, kb_relative_information_score: 326.6103, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4839, number_of_instances: 500, precision: 0.8975, predictive_accuracy: 0.896, prior_entropy: 0.9767, recall: 0.896, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.5791, scimark_benchmark: 919.2952,
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,
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: 0.9005, 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: 0.9329, 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: 0.9354, 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: 0.9358, 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: 0.9341, 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: 0.895, 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: 0.901, 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: 0.901, 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: 0.7787, 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: 0.7934, 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: 0.7932, 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: 0.8381, 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: 0.8354, 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: 0.7044, 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: 0.8368, 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: 0.8342, 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: 0.8259, 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: 0.9452, 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: 0.948, 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: 0.9541, 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: 0.9545, 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,
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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: 0.9235, 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: 0.9305, 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: 0.9426, 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: 0.9479, 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: 0.9443, 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: 0.9604, 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: 0.9514, 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: 0.9504, 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: 0.9468, 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: 0.9434, 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,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs