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Supervised Classification on fri_c4_1000_50

Supervised Classification on fri_c4_1000_50

Task 3662 Supervised Classification fri_c4_1000_50 408 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: 0.8296, f_measure: 0.8327, kappa: 0.6599, kb_relative_information_score: 649.2233, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8327, predictive_accuracy: 0.833, prior_entropy: 0.9896, recall: 0.833, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8023, scimark_benchmark: 942.6192, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8698, kappa: 0.7354, kb_relative_information_score: 433.3901, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8698, predictive_accuracy: 0.87, prior_entropy: 0.9896, recall: 0.87, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7024, scimark_benchmark: 923.7471, usercpu_time_millis: 3710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7293, kappa: 0.4516, kb_relative_information_score: 218.7788, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7298, predictive_accuracy: 0.729, prior_entropy: 0.9896, recall: 0.729, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.882, scimark_benchmark: 933.0918, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8575, kappa: 0.7127, kb_relative_information_score: 621.4983, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8608, predictive_accuracy: 0.857, prior_entropy: 0.9896, recall: 0.857, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6778, scimark_benchmark: 907.1091, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.856, kappa: 0.7078, kb_relative_information_score: 480.0114, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9896, recall: 0.856, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6914, scimark_benchmark: 926.4745, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8421, kappa: 0.6799, kb_relative_information_score: 573.5487, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 0.9896, recall: 0.842, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.679, scimark_benchmark: 934.929, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6544, kappa: 0.2961, kb_relative_information_score: 301.5874, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6552, predictive_accuracy: 0.658, prior_entropy: 0.9896, recall: 0.658, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1781, scimark_benchmark: 946.8777, usercpu_time_millis: 2030, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8368, kappa: 0.6685, kb_relative_information_score: 599.4929, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6797, scimark_benchmark: 922.5036, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 938.838, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 935.627, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.878, kappa: 0.7523, kb_relative_information_score: 629.6363, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8779, predictive_accuracy: 0.878, prior_entropy: 0.9896, recall: 0.878, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5993, scimark_benchmark: 946.9304, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.6251, kappa: 0.2377, kb_relative_information_score: 195.7508, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6245, predictive_accuracy: 0.626, prior_entropy: 0.9896, recall: 0.626, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9915, scimark_benchmark: 952.4682, usercpu_time_millis: 16060, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 15620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 949.7766, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.837, kappa: 0.6693, kb_relative_information_score: 613.8489, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7214, scimark_benchmark: 946.6409, usercpu_time_millis: 1040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8522, kappa: 0.6993, kb_relative_information_score: 398.6281, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8534, predictive_accuracy: 0.853, prior_entropy: 0.9896, recall: 0.853, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7188, scimark_benchmark: 949.7766, usercpu_time_millis: 690, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8575, kappa: 0.7127, kb_relative_information_score: 621.4983, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8608, predictive_accuracy: 0.857, prior_entropy: 0.9896, recall: 0.857, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6778, scimark_benchmark: 901.8743, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6544, kappa: 0.2961, kb_relative_information_score: 301.5874, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6552, predictive_accuracy: 0.658, prior_entropy: 0.9896, recall: 0.658, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1781, scimark_benchmark: 1340.2467, usercpu_time_millis: 4100, usercpu_time_millis_testing: 2020, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8368, kappa: 0.6685, kb_relative_information_score: 599.4929, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6797, scimark_benchmark: 1346.2927, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6544, kappa: 0.2961, kb_relative_information_score: 301.5874, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6552, predictive_accuracy: 0.658, prior_entropy: 0.9896, recall: 0.658, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1781, scimark_benchmark: 1325.8468, usercpu_time_millis: 800, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 926.6704, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 926.6704, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 1342.8632, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 1353.0836, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.837, kappa: 0.6693, kb_relative_information_score: 613.8489, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7214, scimark_benchmark: 1340.9446, usercpu_time_millis: 1150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8522, kappa: 0.6993, kb_relative_information_score: 398.6281, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8534, predictive_accuracy: 0.853, prior_entropy: 0.9896, recall: 0.853, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7188, scimark_benchmark: 1342.8632, usercpu_time_millis: 600, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.856, kappa: 0.7078, kb_relative_information_score: 480.0114, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9896, recall: 0.856, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6914, scimark_benchmark: 1292.514, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8368, kappa: 0.6685, kb_relative_information_score: 599.4929, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6797, scimark_benchmark: 929.0363, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6544, kappa: 0.2961, kb_relative_information_score: 301.5874, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6552, predictive_accuracy: 0.658, prior_entropy: 0.9896, recall: 0.658, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1781, scimark_benchmark: 1340.5125, usercpu_time_millis: 900, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8368, kappa: 0.6685, kb_relative_information_score: 599.4929, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6797, scimark_benchmark: 1331.2559, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 908.2231, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.878, kappa: 0.7523, kb_relative_information_score: 629.6363, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8779, predictive_accuracy: 0.878, prior_entropy: 0.9896, recall: 0.878, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5993, scimark_benchmark: 1349.1517, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.856, kappa: 0.7078, kb_relative_information_score: 480.0114, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9896, recall: 0.856, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6914, scimark_benchmark: 1336.0954, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6544, kappa: 0.2961, kb_relative_information_score: 301.5874, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6552, predictive_accuracy: 0.658, prior_entropy: 0.9896, recall: 0.658, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1781, scimark_benchmark: 1324.8408, usercpu_time_millis: 950, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8368, kappa: 0.6685, kb_relative_information_score: 599.4929, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6797, scimark_benchmark: 1346.2927, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 930.5999, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.878, kappa: 0.7523, kb_relative_information_score: 629.6363, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8779, predictive_accuracy: 0.878, prior_entropy: 0.9896, recall: 0.878, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5993, scimark_benchmark: 1337.8124, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8522, kappa: 0.6993, kb_relative_information_score: 398.6281, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8534, predictive_accuracy: 0.853, prior_entropy: 0.9896, recall: 0.853, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7188, scimark_benchmark: 1278.6629, usercpu_time_millis: 680, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.856, kappa: 0.7078, kb_relative_information_score: 480.0114, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9896, recall: 0.856, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6914, scimark_benchmark: 1371.9645, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.6251, kappa: 0.2377, kb_relative_information_score: 195.7508, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6245, predictive_accuracy: 0.626, prior_entropy: 0.9896, recall: 0.626, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9915, scimark_benchmark: 1341.5795, usercpu_time_millis: 6140, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 5820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8368, kappa: 0.6685, kb_relative_information_score: 599.4929, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6797, scimark_benchmark: 918.0213, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 918.0213, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 918.0213, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 938.0414, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8522, kappa: 0.6993, kb_relative_information_score: 398.6281, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8534, predictive_accuracy: 0.853, prior_entropy: 0.9896, recall: 0.853, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7188, scimark_benchmark: 1260.1387, usercpu_time_millis: 580, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8368, kappa: 0.6685, kb_relative_information_score: 599.4929, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6797, scimark_benchmark: 1347.917, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8421, kappa: 0.6799, kb_relative_information_score: 573.5487, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 0.9896, recall: 0.842, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.679, scimark_benchmark: 1315.933, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 933.1165, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 933.1165, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 1322.7383, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 1322.7383, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.878, kappa: 0.7523, kb_relative_information_score: 629.6363, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8779, predictive_accuracy: 0.878, prior_entropy: 0.9896, recall: 0.878, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5993, scimark_benchmark: 1322.7383, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8368, kappa: 0.6685, kb_relative_information_score: 599.4929, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6797, scimark_benchmark: 933.1165, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8367, kappa: 0.668, kb_relative_information_score: 608.034, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8367, predictive_accuracy: 0.837, prior_entropy: 0.9896, recall: 0.837, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.666, scimark_benchmark: 1343.4596, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8575, kappa: 0.7127, kb_relative_information_score: 621.4983, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8608, predictive_accuracy: 0.857, prior_entropy: 0.9896, recall: 0.857, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6778, scimark_benchmark: 1334.6745, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.856, kappa: 0.7078, kb_relative_information_score: 480.0114, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9896, recall: 0.856, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6914, scimark_benchmark: 1345.3152, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8575, kappa: 0.7127, kb_relative_information_score: 621.4983, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8608, predictive_accuracy: 0.857, prior_entropy: 0.9896, recall: 0.857, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6778, scimark_benchmark: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.856, kappa: 0.7078, kb_relative_information_score: 480.0114, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9896, recall: 0.856, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6914, scimark_benchmark: 1345.842, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.878, kappa: 0.7523, kb_relative_information_score: 630.9424, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8779, predictive_accuracy: 0.878, prior_entropy: 0.9896, recall: 0.878, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.5879, scimark_benchmark: 1301.2156, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8421, kappa: 0.6799, kb_relative_information_score: 573.5487, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 0.9896, recall: 0.842, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.679, scimark_benchmark: 916.6405, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8575, kappa: 0.7127, kb_relative_information_score: 621.4983, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8608, predictive_accuracy: 0.857, prior_entropy: 0.9896, recall: 0.857, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6778, scimark_benchmark: 1249.4068, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8142, kappa: 0.6233, kb_relative_information_score: 610.8534, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8144, predictive_accuracy: 0.814, prior_entropy: 0.9896, recall: 0.814, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8219, scimark_benchmark: 912.7324, usercpu_time_millis: 280, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.853, kappa: 0.7016, kb_relative_information_score: 644.1147, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.853, predictive_accuracy: 0.853, prior_entropy: 0.9896, recall: 0.853, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7036, scimark_benchmark: 1064.8317, usercpu_time_millis: 1340, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8575, kappa: 0.7127, kb_relative_information_score: 621.4983, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8608, predictive_accuracy: 0.857, prior_entropy: 0.9896, recall: 0.857, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6778, scimark_benchmark: 1327.2954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.856, kappa: 0.7078, kb_relative_information_score: 480.0114, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9896, recall: 0.856, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6914, scimark_benchmark: 1337.6765, usercpu_time_millis: 300, usercpu_time_millis_training: 300,

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