Task
Supervised Classification on fri_c1_250_25

Supervised Classification on fri_c1_250_25

Task 4317 Supervised Classification fri_c1_250_25 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8186, kappa: 0.6287, kb_relative_information_score: 1408.8748, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8187, predictive_accuracy: 0.8192, prior_entropy: 0.9852, recall: 0.8192, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7488, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8451, kappa: 0.6833, kb_relative_information_score: 1278.3032, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9852, recall: 0.8452, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7072, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8467, kappa: 0.6862, kb_relative_information_score: 1514.2531, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8468, predictive_accuracy: 0.8472, prior_entropy: 0.9852, recall: 0.8472, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6956, scimark_benchmark: 934.3687, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6017, kappa: 0.184, kb_relative_information_score: 509.2643, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6058, predictive_accuracy: 0.6136, prior_entropy: 0.9852, recall: 0.6136, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2563, scimark_benchmark: 904.6764, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6017, kappa: 0.184, kb_relative_information_score: 509.2643, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6058, predictive_accuracy: 0.6136, prior_entropy: 0.9852, recall: 0.6136, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2563, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8797, kappa: 0.7538, kb_relative_information_score: 1430.2392, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9852, recall: 0.88, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6291, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.5839, kappa: 0.1462, kb_relative_information_score: 249.3297, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5826, predictive_accuracy: 0.5876, prior_entropy: 0.9852, recall: 0.5876, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0533, scimark_benchmark: 944.1067, usercpu_time_millis: 380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.851, kappa: 0.6952, kb_relative_information_score: 1536.165, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8509, predictive_accuracy: 0.8512, prior_entropy: 0.9852, recall: 0.8512, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7084, scimark_benchmark: 927.2917, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6017, kappa: 0.184, kb_relative_information_score: 509.2643, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6058, predictive_accuracy: 0.6136, prior_entropy: 0.9852, recall: 0.6136, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2563, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6017, kappa: 0.184, kb_relative_information_score: 509.2643, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6058, predictive_accuracy: 0.6136, prior_entropy: 0.9852, recall: 0.6136, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2563, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8658, kappa: 0.7247, kb_relative_information_score: 995.7264, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8691, predictive_accuracy: 0.8672, prior_entropy: 0.9852, recall: 0.8672, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7174, scimark_benchmark: 937.5117, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8469, kappa: 0.6862, kb_relative_information_score: 1535.3732, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8474, predictive_accuracy: 0.8476, prior_entropy: 0.9852, recall: 0.8476, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6788, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8186, kappa: 0.6287, kb_relative_information_score: 1408.8748, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8187, predictive_accuracy: 0.8192, prior_entropy: 0.9852, recall: 0.8192, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7488, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8451, kappa: 0.6833, kb_relative_information_score: 1278.3032, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9852, recall: 0.8452, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7072, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8467, kappa: 0.6862, kb_relative_information_score: 1514.2531, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8468, predictive_accuracy: 0.8472, prior_entropy: 0.9852, recall: 0.8472, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6956, scimark_benchmark: 938.1282, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6017, kappa: 0.184, kb_relative_information_score: 509.2643, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6058, predictive_accuracy: 0.6136, prior_entropy: 0.9852, recall: 0.6136, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2563, scimark_benchmark: 937.5683, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6017, kappa: 0.184, kb_relative_information_score: 509.2643, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6058, predictive_accuracy: 0.6136, prior_entropy: 0.9852, recall: 0.6136, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2563, scimark_benchmark: 859.5223, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8797, kappa: 0.7538, kb_relative_information_score: 1430.2392, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9852, recall: 0.88, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6291, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.5839, kappa: 0.1462, kb_relative_information_score: 249.3297, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5826, predictive_accuracy: 0.5876, prior_entropy: 0.9852, recall: 0.5876, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0533, scimark_benchmark: 934.5964, usercpu_time_millis: 430, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.851, kappa: 0.6952, kb_relative_information_score: 1536.165, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8509, predictive_accuracy: 0.8512, prior_entropy: 0.9852, recall: 0.8512, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7084, scimark_benchmark: 945.6228, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8658, kappa: 0.7247, kb_relative_information_score: 995.7264, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8691, predictive_accuracy: 0.8672, prior_entropy: 0.9852, recall: 0.8672, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7174, scimark_benchmark: 938.988, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.786, kappa: 0.5608, kb_relative_information_score: 614.8304, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.7942, predictive_accuracy: 0.7904, prior_entropy: 0.9852, recall: 0.7904, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8356, scimark_benchmark: 904.5548, usercpu_time_millis: 3620, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7858, kappa: 0.5604, kb_relative_information_score: 608.3111, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.7933, predictive_accuracy: 0.79, prior_entropy: 0.9852, recall: 0.79, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8389, scimark_benchmark: 904.5548, usercpu_time_millis: 1700, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7692, kappa: 0.5262, kb_relative_information_score: 605.7241, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.7758, predictive_accuracy: 0.7736, prior_entropy: 0.9852, recall: 0.7736, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8431, scimark_benchmark: 897.0978, usercpu_time_millis: 670, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7548, kappa: 0.4967, kb_relative_information_score: 594.2715, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.7576, predictive_accuracy: 0.758, prior_entropy: 0.9852, recall: 0.758, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8519, scimark_benchmark: 939.682, usercpu_time_millis: 340, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7181, kappa: 0.4217, kb_relative_information_score: 568.8865, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.7185, predictive_accuracy: 0.7204, prior_entropy: 0.9852, recall: 0.7204, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8757, scimark_benchmark: 928.821, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8491, kappa: 0.691, kb_relative_information_score: 1682.0859, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8493, predictive_accuracy: 0.8496, prior_entropy: 0.9852, recall: 0.8496, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7053, scimark_benchmark: 936.1714, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.848, kappa: 0.689, kb_relative_information_score: 1685.7886, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.848, predictive_accuracy: 0.8484, prior_entropy: 0.9852, recall: 0.8484, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6969, scimark_benchmark: 938.3115, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8475, kappa: 0.6877, kb_relative_information_score: 1645.4916, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8477, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6842, scimark_benchmark: 929.0296, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8184, kappa: 0.6285, kb_relative_information_score: 1322.2628, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8183, predictive_accuracy: 0.8188, prior_entropy: 0.9852, recall: 0.8188, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7174, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4163, kb_relative_information_score: -0.9303, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0002, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8569, kappa: 0.7073, kb_relative_information_score: 1745.7444, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8569, predictive_accuracy: 0.8572, prior_entropy: 0.9852, recall: 0.8572, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.709, scimark_benchmark: 938.3115, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8392, kappa: 0.6708, kb_relative_information_score: 1657.4408, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8392, predictive_accuracy: 0.8396, prior_entropy: 0.9852, recall: 0.8396, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7309, scimark_benchmark: 941.9549, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.851, kappa: 0.6952, kb_relative_information_score: 1536.165, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8509, predictive_accuracy: 0.8512, prior_entropy: 0.9852, recall: 0.8512, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7084, scimark_benchmark: 1317.2327, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8797, kappa: 0.7538, kb_relative_information_score: 1430.2392, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9852, recall: 0.88, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6291, scimark_benchmark: 1342.8584, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.5839, kappa: 0.1462, kb_relative_information_score: 249.3297, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5826, predictive_accuracy: 0.5876, prior_entropy: 0.9852, recall: 0.5876, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0533, scimark_benchmark: 1324.8408, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.851, kappa: 0.6952, kb_relative_information_score: 1536.165, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8509, predictive_accuracy: 0.8512, prior_entropy: 0.9852, recall: 0.8512, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7084, scimark_benchmark: 1358.6198, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8658, kappa: 0.7247, kb_relative_information_score: 995.7264, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8691, predictive_accuracy: 0.8672, prior_entropy: 0.9852, recall: 0.8672, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7174, scimark_benchmark: 1313.5633, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7414, kappa: 0.4722, kb_relative_information_score: 1112.6147, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.7416, predictive_accuracy: 0.7412, prior_entropy: 0.9852, recall: 0.7412, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.476, root_relative_squared_error: 0.962, scimark_benchmark: 1346.0226, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8467, kappa: 0.6862, kb_relative_information_score: 1514.2531, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8468, predictive_accuracy: 0.8472, prior_entropy: 0.9852, recall: 0.8472, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6956, scimark_benchmark: 1339.6197, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8254, kappa: 0.6431, kb_relative_information_score: 1515.8528, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8253, predictive_accuracy: 0.8256, prior_entropy: 0.9852, recall: 0.8256, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7875, scimark_benchmark: 1324.5762, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6017, kappa: 0.184, kb_relative_information_score: 509.2643, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6058, predictive_accuracy: 0.6136, prior_entropy: 0.9852, recall: 0.6136, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2563, scimark_benchmark: 1325.3966, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8125, kappa: 0.6158, kb_relative_information_score: 1341.2271, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8131, predictive_accuracy: 0.8136, prior_entropy: 0.9852, recall: 0.8136, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.738, scimark_benchmark: 1320.1171, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8797, kappa: 0.7538, kb_relative_information_score: 1430.2392, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9852, recall: 0.88, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6291, scimark_benchmark: 1349.9109, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8658, kappa: 0.7247, kb_relative_information_score: 995.7264, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8691, predictive_accuracy: 0.8672, prior_entropy: 0.9852, recall: 0.8672, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7174, scimark_benchmark: 1303.9481, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8186, kappa: 0.6287, kb_relative_information_score: 1408.8748, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8187, predictive_accuracy: 0.8192, prior_entropy: 0.9852, recall: 0.8192, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7488, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8451, kappa: 0.6833, kb_relative_information_score: 1278.3032, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9852, recall: 0.8452, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7072, scimark_benchmark: 1335.5309, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6017, kappa: 0.184, kb_relative_information_score: 509.2643, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6058, predictive_accuracy: 0.6136, prior_entropy: 0.9852, recall: 0.6136, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2563, scimark_benchmark: 1343.3311, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8658, kappa: 0.7247, kb_relative_information_score: 995.7264, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8691, predictive_accuracy: 0.8672, prior_entropy: 0.9852, recall: 0.8672, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7174, scimark_benchmark: 1260.1387, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,

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