Task
Supervised Classification on fri_c0_500_50

Supervised Classification on fri_c0_500_50

Task 3751 Supervised Classification fri_c0_500_50 569 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: 0.8915, build_cpu_time: 0.4792, build_memory: 1615948626.4, f_measure: 0.8292, kappa: 0.6589, kb_relative_information_score: 250.0828, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.834, predictive_accuracy: 0.83, prior_entropy: 0.9996, recall: 0.83, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7137, scimark_benchmark: 944.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, build_cpu_time: 1.1112, build_memory: 2124128533.6, f_measure: 0.8353, kappa: 0.6709, kb_relative_information_score: 249.9163, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8398, predictive_accuracy: 0.836, prior_entropy: 0.9996, recall: 0.836, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7048, scimark_benchmark: 943.1323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, build_cpu_time: 1.8157, build_memory: 1645383790.4, f_measure: 0.8334, kappa: 0.667, kb_relative_information_score: 247.5244, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.837, predictive_accuracy: 0.834, prior_entropy: 0.9996, recall: 0.834, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.705, scimark_benchmark: 929.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 3.5689, build_memory: 507814720, f_measure: 0.8333, kappa: 0.6669, kb_relative_information_score: 247.5414, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8375, predictive_accuracy: 0.834, prior_entropy: 0.9996, recall: 0.834, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7013, scimark_benchmark: 945.7701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 3.5217, build_memory: 1531780304.8, f_measure: 0.8333, kappa: 0.6669, kb_relative_information_score: 247.5414, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8375, predictive_accuracy: 0.834, prior_entropy: 0.9996, recall: 0.834, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7013, scimark_benchmark: 906.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, build_cpu_time: 16.8378, build_memory: 1179904833.6, f_measure: 0.8428, kappa: 0.6867, kb_relative_information_score: 246.1524, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8516, predictive_accuracy: 0.844, prior_entropy: 0.9996, recall: 0.844, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.681, scimark_benchmark: 934.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, build_cpu_time: 10.1919, build_memory: 288972704.8, f_measure: 0.8489, kappa: 0.6988, kb_relative_information_score: 245.6359, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8574, predictive_accuracy: 0.85, prior_entropy: 0.9996, recall: 0.85, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6842, scimark_benchmark: 827.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, build_cpu_time: 1.4464, build_memory: 1140913400, f_measure: 0.862, kappa: 0.7238, kb_relative_information_score: 363.5267, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 0.9996, recall: 0.862, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6953, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, build_cpu_time: 2.95, build_memory: 280582448, f_measure: 0.8519, kappa: 0.7037, kb_relative_information_score: 351.6767, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8521, predictive_accuracy: 0.852, prior_entropy: 0.9996, recall: 0.852, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7459, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, build_cpu_time: 6.3028, build_memory: 554339377.6, f_measure: 0.8578, kappa: 0.7155, kb_relative_information_score: 354.58, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8588, predictive_accuracy: 0.858, prior_entropy: 0.9996, recall: 0.858, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7439, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, build_cpu_time: 11.4957, build_memory: 920211942.4, f_measure: 0.8397, kappa: 0.6793, kb_relative_information_score: 338.2228, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8415, predictive_accuracy: 0.84, prior_entropy: 0.9996, recall: 0.84, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7943, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, build_cpu_time: 20.8154, build_memory: 759756260, f_measure: 0.8397, kappa: 0.6793, kb_relative_information_score: 341.6229, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9996, recall: 0.84, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7851, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, build_cpu_time: 26.2364, build_memory: 1194129794.4, f_measure: 0.8397, kappa: 0.6793, kb_relative_information_score: 341.6229, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9996, recall: 0.84, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7851, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, build_cpu_time: 99.3891, build_memory: 706135398.4, f_measure: 0.8318, kappa: 0.6634, kb_relative_information_score: 278.5495, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8326, predictive_accuracy: 0.832, prior_entropy: 0.9996, recall: 0.832, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6883, scimark_benchmark: 943.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, build_cpu_time: 46.0601, build_memory: 1170429264.8, f_measure: 0.8298, kappa: 0.6594, kb_relative_information_score: 277.7445, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8305, predictive_accuracy: 0.83, prior_entropy: 0.9996, recall: 0.83, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6915, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, build_cpu_time: 25.1438, build_memory: 2017005388.8, f_measure: 0.8278, kappa: 0.6555, kb_relative_information_score: 277.9343, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8284, predictive_accuracy: 0.828, prior_entropy: 0.9996, recall: 0.828, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.694, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 12.878, build_memory: 856571340.8, f_measure: 0.8197, kappa: 0.6393, kb_relative_information_score: 274.6204, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8208, predictive_accuracy: 0.82, prior_entropy: 0.9996, recall: 0.82, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7014, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, build_cpu_time: 5.3394, build_memory: 1121365270.4, f_measure: 0.8198, kappa: 0.6394, kb_relative_information_score: 275.752, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 0.9996, recall: 0.82, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7082, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, build_cpu_time: 0.0021, build_memory: 465173982.4, f_measure: 0.7119, kappa: 0.4353, kb_relative_information_score: 121.5645, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7339, predictive_accuracy: 0.716, prior_entropy: 0.9996, recall: 0.716, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8755, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, build_cpu_time: 0.004, build_memory: 1028949624, f_measure: 0.7081, kappa: 0.4272, kb_relative_information_score: 120.1621, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7286, predictive_accuracy: 0.712, prior_entropy: 0.9996, recall: 0.712, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8752, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, build_cpu_time: 0.0077, build_memory: 773541381.6, f_measure: 0.7181, kappa: 0.4471, kb_relative_information_score: 123.2622, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7397, predictive_accuracy: 0.722, prior_entropy: 0.9996, recall: 0.722, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8719, scimark_benchmark: 949.7836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, build_cpu_time: 0.0139, build_memory: 645119760, f_measure: 0.7243, kappa: 0.459, kb_relative_information_score: 123.0896, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7456, predictive_accuracy: 0.728, prior_entropy: 0.9996, recall: 0.728, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8682, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, build_cpu_time: 0.0257, build_memory: 534136456.8, f_measure: 0.7203, kappa: 0.4511, kb_relative_information_score: 123.2837, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7413, predictive_accuracy: 0.724, prior_entropy: 0.9996, recall: 0.724, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8687, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, build_cpu_time: 1773.0954, build_memory: 73258881.6, f_measure: 0.798, kappa: 0.5957, kb_relative_information_score: 270.5799, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 0.9996, recall: 0.798, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7575, scimark_benchmark: 926.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, build_cpu_time: 766.9991, build_memory: 697383207.2, f_measure: 0.814, kappa: 0.6277, kb_relative_information_score: 270.4195, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 0.9996, recall: 0.814, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7581, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, build_cpu_time: 0.6959, build_memory: 989703914.4, f_measure: 0.7957, kappa: 0.5912, kb_relative_information_score: 227.8523, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7967, predictive_accuracy: 0.796, prior_entropy: 0.9996, recall: 0.796, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7269, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, build_cpu_time: 1.0163, build_memory: 306706780.8, f_measure: 0.8058, kappa: 0.6114, kb_relative_information_score: 193.799, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8064, predictive_accuracy: 0.806, prior_entropy: 0.9996, recall: 0.806, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7576, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, build_cpu_time: 0.4534, build_memory: 266002835.2, f_measure: 0.69, kappa: 0.3802, kb_relative_information_score: 126.2057, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6905, predictive_accuracy: 0.69, prior_entropy: 0.9996, recall: 0.69, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9089, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, build_cpu_time: 0.531, build_memory: 1052714591.2, f_measure: 0.69, kappa: 0.3802, kb_relative_information_score: 126.2057, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6905, predictive_accuracy: 0.69, prior_entropy: 0.9996, recall: 0.69, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9089, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, build_cpu_time: 0.6287, build_memory: 918535930.4, f_measure: 0.69, kappa: 0.3802, kb_relative_information_score: 126.2057, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6905, predictive_accuracy: 0.69, prior_entropy: 0.9996, recall: 0.69, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9089, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, build_cpu_time: 0.5841, build_memory: 862992673.6, f_measure: 0.69, kappa: 0.3802, kb_relative_information_score: 126.2057, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6905, predictive_accuracy: 0.69, prior_entropy: 0.9996, recall: 0.69, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9089, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, build_cpu_time: 0.4636, build_memory: 824184802.4, f_measure: 0.69, kappa: 0.3802, kb_relative_information_score: 126.2057, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6905, predictive_accuracy: 0.69, prior_entropy: 0.9996, recall: 0.69, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9089, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, build_cpu_time: 0.3426, build_memory: 842141952.8, f_measure: 0.686, kappa: 0.3717, kb_relative_information_score: 130.8041, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.686, predictive_accuracy: 0.686, prior_entropy: 0.9996, recall: 0.686, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9114, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, build_cpu_time: 0.3636, build_memory: 800818648.8, f_measure: 0.686, kappa: 0.3717, kb_relative_information_score: 130.8041, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.686, predictive_accuracy: 0.686, prior_entropy: 0.9996, recall: 0.686, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9114, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, build_cpu_time: 0.1698, build_memory: 417508734.4, f_measure: 0.674, kappa: 0.3477, kb_relative_information_score: 130.9753, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.674, predictive_accuracy: 0.674, prior_entropy: 0.9996, recall: 0.674, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9185, scimark_benchmark: 941.6532,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, build_cpu_time: 0.0559, build_memory: 390909682.4, f_measure: 0.6674, kappa: 0.3346, kb_relative_information_score: 128.5113, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6682, predictive_accuracy: 0.668, prior_entropy: 0.9996, recall: 0.668, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.933, scimark_benchmark: 926.9727,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 1.5809, build_memory: 680812992, f_measure: 0.8438, kappa: 0.6874, kb_relative_information_score: 344.7122, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8449, predictive_accuracy: 0.844, prior_entropy: 0.9996, recall: 0.844, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.712, scimark_benchmark: 935.37,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, build_cpu_time: 1.3614, build_memory: 2428040808.8, f_measure: 0.8098, kappa: 0.6193, kb_relative_information_score: 301.3509, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8106, predictive_accuracy: 0.81, prior_entropy: 0.9996, recall: 0.81, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8071, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, build_cpu_time: 2.6447, build_memory: 869692558.4, f_measure: 0.818, kappa: 0.6357, kb_relative_information_score: 315.3577, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.818, predictive_accuracy: 0.818, prior_entropy: 0.9996, recall: 0.818, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8105, scimark_benchmark: 916.0736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, build_cpu_time: 4.9728, build_memory: 664272065.6, f_measure: 0.8337, kappa: 0.6673, kb_relative_information_score: 336.7338, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.835, predictive_accuracy: 0.834, prior_entropy: 0.9996, recall: 0.834, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7792, scimark_benchmark: 946.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, build_cpu_time: 10.0815, build_memory: 1204105425.6, f_measure: 0.8477, kappa: 0.6954, kb_relative_information_score: 348.1795, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8492, predictive_accuracy: 0.848, prior_entropy: 0.9996, recall: 0.848, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7647, scimark_benchmark: 937.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, build_cpu_time: 1.3488, build_memory: 20222336, f_measure: 0.852, kappa: 0.7039, kb_relative_information_score: 342.2693, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8521, predictive_accuracy: 0.852, prior_entropy: 0.9996, recall: 0.852, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.658, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, build_cpu_time: 0.1797, build_memory: 185436253.6, f_measure: 0.62, kappa: 0.2404, kb_relative_information_score: 119.3014, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6207, predictive_accuracy: 0.62, prior_entropy: 0.9996, recall: 0.62, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6151, root_relative_squared_error: 1.2305, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, build_cpu_time: 0.0925, build_memory: 97297254.4, f_measure: 0.62, kappa: 0.2404, kb_relative_information_score: 119.3014, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6207, predictive_accuracy: 0.62, prior_entropy: 0.9996, recall: 0.62, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6151, root_relative_squared_error: 1.2305, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, build_cpu_time: 0.1032, build_memory: 921321346.4, f_measure: 0.62, kappa: 0.2404, kb_relative_information_score: 119.3014, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6207, predictive_accuracy: 0.62, prior_entropy: 0.9996, recall: 0.62, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6151, root_relative_squared_error: 1.2305, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, build_cpu_time: 9.2364, build_memory: 964596544, f_measure: 0.8617, kappa: 0.7233, kb_relative_information_score: 360.5423, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8639, predictive_accuracy: 0.862, prior_entropy: 0.9996, recall: 0.862, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7416, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, build_cpu_time: 4.7399, build_memory: 871985709.6, f_measure: 0.8538, kappa: 0.7074, kb_relative_information_score: 353.3704, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8551, predictive_accuracy: 0.854, prior_entropy: 0.9996, recall: 0.854, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7619, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, build_cpu_time: 2.1542, build_memory: 77154864.8, f_measure: 0.862, kappa: 0.7237, kb_relative_information_score: 360.5695, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9996, recall: 0.862, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7316, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, build_cpu_time: 1.137, build_memory: 534687511.2, f_measure: 0.8518, kappa: 0.7035, kb_relative_information_score: 356.8685, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8526, predictive_accuracy: 0.852, prior_entropy: 0.9996, recall: 0.852, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7201, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, build_cpu_time: 0.5293, build_memory: 633849316.8, f_measure: 0.8359, kappa: 0.6716, kb_relative_information_score: 334.4968, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 0.9996, recall: 0.836, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.78, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, build_cpu_time: 0.889, build_memory: 890335100.8, f_measure: 0.8096, kappa: 0.6192, kb_relative_information_score: 300.5247, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8111, predictive_accuracy: 0.81, prior_entropy: 0.9996, recall: 0.81, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8202, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, build_cpu_time: 1.6232, build_memory: 1076215664, f_measure: 0.7955, kappa: 0.591, kb_relative_information_score: 298.776, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7975, predictive_accuracy: 0.796, prior_entropy: 0.9996, recall: 0.796, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8423, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, build_cpu_time: 3.1093, build_memory: 741052948, f_measure: 0.8378, kappa: 0.6755, kb_relative_information_score: 339.3686, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8385, predictive_accuracy: 0.838, prior_entropy: 0.9996, recall: 0.838, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7688, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, build_cpu_time: 5.4324, build_memory: 933751913.6, f_measure: 0.8339, kappa: 0.6676, kb_relative_information_score: 332.9836, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8342, predictive_accuracy: 0.834, prior_entropy: 0.9996, recall: 0.834, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.7944, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, build_cpu_time: 7.7049, build_memory: 332154104, f_measure: 0.8419, kappa: 0.6836, kb_relative_information_score: 338.8996, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8422, predictive_accuracy: 0.842, prior_entropy: 0.9996, recall: 0.842, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7841, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, build_cpu_time: 35.2466, build_memory: 233139452, f_measure: 0.8719, kappa: 0.7436, kb_relative_information_score: 370.1517, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8727, predictive_accuracy: 0.872, prior_entropy: 0.9996, recall: 0.872, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7117, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, build_cpu_time: 17.7506, build_memory: 1033921268.8, f_measure: 0.8758, kappa: 0.7515, kb_relative_information_score: 375.3676, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8774, predictive_accuracy: 0.876, prior_entropy: 0.9996, recall: 0.876, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6904, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, build_cpu_time: 2.4271, build_memory: 957313181.6, f_measure: 0.8397, kappa: 0.6793, kb_relative_information_score: 322.3057, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9996, recall: 0.84, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7524, scimark_benchmark: 923.3659,

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