Task
Supervised Classification on fri_c0_250_50

Supervised Classification on fri_c0_250_50

Task 3598 Supervised Classification fri_c0_250_50 543 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: 0.8517, build_cpu_time: 2.334, build_memory: 1294284558.4, f_measure: 0.8118, kappa: 0.6219, kb_relative_information_score: 152.7197, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9971, recall: 0.812, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8605, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, build_cpu_time: 2.4255, build_memory: 80617764.8, f_measure: 0.8118, kappa: 0.6219, kb_relative_information_score: 152.7197, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9971, recall: 0.812, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8605, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, build_cpu_time: 2.4596, build_memory: 1065051867.2, f_measure: 0.8118, kappa: 0.6219, kb_relative_information_score: 152.7197, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9971, recall: 0.812, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8605, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6043, build_cpu_time: 0.0556, build_memory: 1428524449.6, f_measure: 0.5799, kappa: 0.1561, kb_relative_information_score: 34.2015, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5798, predictive_accuracy: 0.58, prior_entropy: 0.9971, recall: 0.58, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2024, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, build_cpu_time: 0.1113, build_memory: 962970688.8, f_measure: 0.7664, kappa: 0.5307, kb_relative_information_score: 55.6252, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8485, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, build_cpu_time: 0.1145, build_memory: 1997368904.8, f_measure: 0.7664, kappa: 0.5307, kb_relative_information_score: 55.6252, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8485, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, build_cpu_time: 0.5728, build_memory: 2865700232.8, f_measure: 0.7802, kappa: 0.5598, kb_relative_information_score: 139.27, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9087, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, build_cpu_time: 0.5533, build_memory: 681448648.8, f_measure: 0.7802, kappa: 0.5598, kb_relative_information_score: 139.3961, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9083, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, build_cpu_time: 0.3896, build_memory: 598745218.4, f_measure: 0.7762, kappa: 0.552, kb_relative_information_score: 137.574, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.778, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.4488, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9148, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, build_cpu_time: 0.2288, build_memory: 1295682849.6, f_measure: 0.7722, kappa: 0.5442, kb_relative_information_score: 135.5073, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7745, predictive_accuracy: 0.772, prior_entropy: 0.9971, recall: 0.772, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9084, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, build_cpu_time: 0.0282, build_memory: 357258348.8, f_measure: 0.5843, kappa: 0.1663, kb_relative_information_score: 38.3795, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5849, predictive_accuracy: 0.584, prior_entropy: 0.9971, recall: 0.584, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1227, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, build_cpu_time: 0.1149, build_memory: 609939710.4, f_measure: 0.7641, kappa: 0.5268, kb_relative_information_score: 132.9592, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7645, predictive_accuracy: 0.764, prior_entropy: 0.9971, recall: 0.764, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8903, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, build_cpu_time: 0.1386, build_memory: 662757759.2, f_measure: 0.586, kappa: 0.1679, kb_relative_information_score: 38.4142, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5863, predictive_accuracy: 0.588, prior_entropy: 0.9971, recall: 0.588, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6069, root_relative_squared_error: 1.2163, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, build_cpu_time: 0.241, build_memory: 830381504.8, f_measure: 0.6418, kappa: 0.2803, kb_relative_information_score: 72.0255, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6432, predictive_accuracy: 0.644, prior_entropy: 0.9971, recall: 0.644, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5708, root_relative_squared_error: 1.1439, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, build_cpu_time: 0.4641, build_memory: 591909528.8, f_measure: 0.6821, kappa: 0.3611, kb_relative_information_score: 88.8058, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6839, predictive_accuracy: 0.684, prior_entropy: 0.9971, recall: 0.684, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1106, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.8082, kappa: 0.6156, kb_relative_information_score: 153.5658, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8093, predictive_accuracy: 0.808, prior_entropy: 0.9971, recall: 0.808, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8692, scimark_benchmark: 904.3001, usercpu_time_millis: 2210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7083, kappa: 0.4157, kb_relative_information_score: 42.6454, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7097, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.887, scimark_benchmark: 943.2817, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7802, kappa: 0.5593, kb_relative_information_score: 136.6324, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9184, scimark_benchmark: 904.3001, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7388, kappa: 0.4749, kb_relative_information_score: 119.229, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7404, predictive_accuracy: 0.74, prior_entropy: 0.9971, recall: 0.74, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0219, scimark_benchmark: 947.4269, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.5894, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 904.3001, usercpu_time_millis: 300, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7203, kappa: 0.44, kb_relative_information_score: 102.9917, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.722, predictive_accuracy: 0.72, prior_entropy: 0.9971, recall: 0.72, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0002, scimark_benchmark: 947.0793, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.8161, kappa: 0.6312, kb_relative_information_score: 156.3006, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8167, predictive_accuracy: 0.816, prior_entropy: 0.9971, recall: 0.816, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8544, scimark_benchmark: 942.6953, usercpu_time_millis: 4350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.784, kappa: 0.5662, kb_relative_information_score: 112.1234, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9971, recall: 0.784, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7678, scimark_benchmark: 911.0478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.6772, kappa: 0.3558, kb_relative_information_score: 60.4199, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6897, predictive_accuracy: 0.684, prior_entropy: 0.9971, recall: 0.684, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8873, scimark_benchmark: 902.4773, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8159, kappa: 0.6301, kb_relative_information_score: 131.3771, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8159, predictive_accuracy: 0.816, prior_entropy: 0.9971, recall: 0.816, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7387, scimark_benchmark: 943.6956, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, build_cpu_time: 1.2491, build_memory: 475141485.6, f_measure: 0.7479, kappa: 0.4937, kb_relative_information_score: 124.1148, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7479, predictive_accuracy: 0.748, prior_entropy: 0.9971, recall: 0.748, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9578, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.3784, kappa: 0.0091, kb_relative_information_score: 16.6333, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7522, predictive_accuracy: 0.536, prior_entropy: 0.9971, recall: 0.536, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6812, root_relative_squared_error: 1.3651, scimark_benchmark: 914.6385, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8118, kappa: 0.6219, kb_relative_information_score: 149.8737, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9971, recall: 0.812, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8533, scimark_benchmark: 945.6434, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.7116, kappa: 0.4204, kb_relative_information_score: 90.5271, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7116, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9775, scimark_benchmark: 947.0793, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3695, kb_relative_information_score: 14.6216, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.283, predictive_accuracy: 0.532, prior_entropy: 0.9971, recall: 0.532, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6841, root_relative_squared_error: 1.371, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.3695, kb_relative_information_score: -0.0616, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.283, predictive_accuracy: 0.532, prior_entropy: 0.9971, recall: 0.532, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.68, kappa: 0.3585, kb_relative_information_score: 40.7412, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6859, predictive_accuracy: 0.684, prior_entropy: 0.9971, recall: 0.684, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9118, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, build_cpu_time: 1.2005, build_memory: 991204227.2, f_measure: 0.8001, kappa: 0.5988, kb_relative_information_score: 147.3435, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9971, recall: 0.8, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8859, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, build_cpu_time: 1.5315, build_memory: 204725082.4, f_measure: 0.8001, kappa: 0.5988, kb_relative_information_score: 147.3435, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9971, recall: 0.8, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8859, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, build_cpu_time: 5.424, build_memory: 1249543229.6, f_measure: 0.8001, kappa: 0.5988, kb_relative_information_score: 150.5185, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9971, recall: 0.8, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8784, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, build_cpu_time: 9.0794, build_memory: 2260763712, f_measure: 0.824, kappa: 0.6466, kb_relative_information_score: 161.3594, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 0.9971, recall: 0.824, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8408, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, build_cpu_time: 15.9002, build_memory: 70404327.2, f_measure: 0.7799, kappa: 0.558, kb_relative_information_score: 116.3123, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7515, scimark_benchmark: 938.4414,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, build_cpu_time: 0.0163, build_memory: 114279343.2, f_measure: 0.7515, kappa: 0.5004, kb_relative_information_score: 126.1755, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7518, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8757, scimark_benchmark: 943.1817,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, build_cpu_time: 0.0004, build_memory: 691266193.6, f_measure: 0.5684, kappa: 0.136, kb_relative_information_score: 32.5095, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.57, predictive_accuracy: 0.568, prior_entropy: 0.9971, recall: 0.568, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6544, root_relative_squared_error: 1.3114, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, build_cpu_time: 0.0031, build_memory: 612096093.6, f_measure: 0.7599, kappa: 0.5175, kb_relative_information_score: 99.3251, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7863, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, build_cpu_time: 0.7246, build_memory: 1871499769.6, f_measure: 0.7116, kappa: 0.4204, kb_relative_information_score: 90.5271, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7116, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9775, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, build_cpu_time: 2.1575, build_memory: 541653124.8, f_measure: 0.7802, kappa: 0.5593, kb_relative_information_score: 135.5778, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9254, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, build_cpu_time: 0.0315, build_memory: 119233956.8, f_measure: 0.736, kappa: 0.4742, kb_relative_information_score: 88.6399, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7421, predictive_accuracy: 0.736, prior_entropy: 0.9971, recall: 0.736, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9146, scimark_benchmark: 937.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, build_cpu_time: 4.8621, build_memory: 1169807616.8, f_measure: 0.7864, kappa: 0.5709, kb_relative_information_score: 91.3762, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7906, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7762, scimark_benchmark: 944.7388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, build_cpu_time: 0.7662, build_memory: 722287406.4, f_measure: 0.7602, kappa: 0.5195, kb_relative_information_score: 94.977, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7613, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.771, scimark_benchmark: 938.6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, build_cpu_time: 2.4881, build_memory: 1947299768.8, f_measure: 0.7945, kappa: 0.5871, kb_relative_information_score: 92.73, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7988, predictive_accuracy: 0.796, prior_entropy: 0.9971, recall: 0.796, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7722, scimark_benchmark: 946.2164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, build_cpu_time: 1.4696, build_memory: 156816934.4, f_measure: 0.7682, kappa: 0.5355, kb_relative_information_score: 97.0736, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7693, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7608, scimark_benchmark: 945.5241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, build_cpu_time: 0.6948, build_memory: 78503028, f_measure: 0.7636, kappa: 0.5248, kb_relative_information_score: 91.1134, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7638, predictive_accuracy: 0.764, prior_entropy: 0.9971, recall: 0.764, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7715, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, build_cpu_time: 4.3154, build_memory: 2855156396.8, f_measure: 0.7679, kappa: 0.5336, kb_relative_information_score: 115.2516, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7678, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8005, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, build_cpu_time: 4.4672, build_memory: 611331759.2, f_measure: 0.7679, kappa: 0.5336, kb_relative_information_score: 115.2516, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7678, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8005, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, build_cpu_time: 2.6322, build_memory: 1739423753.6, f_measure: 0.7641, kappa: 0.5263, kb_relative_information_score: 113.5526, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7641, predictive_accuracy: 0.764, prior_entropy: 0.9971, recall: 0.764, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8113, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, build_cpu_time: 1.2092, build_memory: 828220485.6, f_measure: 0.7599, kappa: 0.5175, kb_relative_information_score: 113.0297, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8153, scimark_benchmark: 942.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, build_cpu_time: 0.54, build_memory: 876567129.6, f_measure: 0.7794, kappa: 0.5566, kb_relative_information_score: 114.7861, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7801, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8166, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, build_cpu_time: 0.6635, build_memory: 653190600.8, f_measure: 0.7794, kappa: 0.5566, kb_relative_information_score: 114.7861, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7801, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8166, scimark_benchmark: 941.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, build_cpu_time: 0.4768, build_memory: 287757126.4, f_measure: 0.7342, kappa: 0.466, kb_relative_information_score: 109.827, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7371, predictive_accuracy: 0.736, prior_entropy: 0.9971, recall: 0.736, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8341, scimark_benchmark: 941.7372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, build_cpu_time: 0.5195, build_memory: 276526258.4, f_measure: 0.7342, kappa: 0.466, kb_relative_information_score: 109.827, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7371, predictive_accuracy: 0.736, prior_entropy: 0.9971, recall: 0.736, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8341, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, build_cpu_time: 0.4826, build_memory: 394374153.6, f_measure: 0.7342, kappa: 0.466, kb_relative_information_score: 109.827, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7371, predictive_accuracy: 0.736, prior_entropy: 0.9971, recall: 0.736, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8341, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, build_cpu_time: 0.0004, build_memory: 264539152.8, f_measure: 0.3695, kb_relative_information_score: -0.0616, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.283, predictive_accuracy: 0.532, prior_entropy: 0.9971, recall: 0.532, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0002, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, build_cpu_time: 0.1459, build_memory: 2259694592, f_measure: 0.7499, kappa: 0.4978, kb_relative_information_score: 53.7919, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7542, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8551, scimark_benchmark: 874.7213,

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