Task
Supervised Classification on fri_c2_250_10

Supervised Classification on fri_c2_250_10

Task 4400 Supervised Classification fri_c2_250_10 210 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8826, kappa: 0.7451, kb_relative_information_score: 1616.4106, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8825, predictive_accuracy: 0.8832, prior_entropy: 0.9468, recall: 0.8832, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6577, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.872, kappa: 0.7214, kb_relative_information_score: 1463.1145, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8724, predictive_accuracy: 0.8732, prior_entropy: 0.9468, recall: 0.8732, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6681, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8617, kappa: 0.7001, kb_relative_information_score: 1583.7942, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8624, prior_entropy: 0.9468, recall: 0.8624, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6737, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.83, kappa: 0.6337, kb_relative_information_score: 1548.7958, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8305, predictive_accuracy: 0.8296, prior_entropy: 0.9468, recall: 0.8296, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8579, scimark_benchmark: 904.6764, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8942, kappa: 0.7705, kb_relative_information_score: 1609.8329, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8942, predictive_accuracy: 0.8948, prior_entropy: 0.9468, recall: 0.8948, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.6133, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7955, kappa: 0.5559, kb_relative_information_score: 904.4081, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.7949, predictive_accuracy: 0.7968, prior_entropy: 0.9468, recall: 0.7968, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8186, scimark_benchmark: 916.0735, usercpu_time_millis: 380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8902, kappa: 0.761, kb_relative_information_score: 1689.2296, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8907, predictive_accuracy: 0.8912, prior_entropy: 0.9468, recall: 0.8912, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6391, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.83, kappa: 0.6337, kb_relative_information_score: 1548.7958, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8305, predictive_accuracy: 0.8296, prior_entropy: 0.9468, recall: 0.8296, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8579, scimark_benchmark: 944.1783, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.83, kappa: 0.6337, kb_relative_information_score: 1548.7958, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8305, predictive_accuracy: 0.8296, prior_entropy: 0.9468, recall: 0.8296, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8579, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.8979, kappa: 0.7778, kb_relative_information_score: 1576.2074, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8985, predictive_accuracy: 0.8988, prior_entropy: 0.9468, recall: 0.8988, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5857, scimark_benchmark: 943.1009, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8826, kappa: 0.7451, kb_relative_information_score: 1616.4106, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8825, predictive_accuracy: 0.8832, prior_entropy: 0.9468, recall: 0.8832, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6577, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.872, kappa: 0.7214, kb_relative_information_score: 1463.1145, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8724, predictive_accuracy: 0.8732, prior_entropy: 0.9468, recall: 0.8732, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6681, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8617, kappa: 0.7001, kb_relative_information_score: 1583.7942, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8624, prior_entropy: 0.9468, recall: 0.8624, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6737, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.83, kappa: 0.6337, kb_relative_information_score: 1548.7958, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8305, predictive_accuracy: 0.8296, prior_entropy: 0.9468, recall: 0.8296, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8579, scimark_benchmark: 927.2882, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8942, kappa: 0.7705, kb_relative_information_score: 1609.8329, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8942, predictive_accuracy: 0.8948, prior_entropy: 0.9468, recall: 0.8948, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.6133, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7955, kappa: 0.5559, kb_relative_information_score: 904.4081, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.7949, predictive_accuracy: 0.7968, prior_entropy: 0.9468, recall: 0.7968, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8186, scimark_benchmark: 919.2625, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8902, kappa: 0.761, kb_relative_information_score: 1689.2296, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8907, predictive_accuracy: 0.8912, prior_entropy: 0.9468, recall: 0.8912, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6391, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.8979, kappa: 0.7778, kb_relative_information_score: 1576.2074, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8985, predictive_accuracy: 0.8988, prior_entropy: 0.9468, recall: 0.8988, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5857, scimark_benchmark: 936.3213, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8938, kappa: 0.7704, kb_relative_information_score: 1338.0046, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8937, predictive_accuracy: 0.894, prior_entropy: 0.9468, recall: 0.894, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6402, scimark_benchmark: 940.1221, usercpu_time_millis: 1880, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8894, kappa: 0.7607, kb_relative_information_score: 1319.6089, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8893, predictive_accuracy: 0.8896, prior_entropy: 0.9468, recall: 0.8896, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6467, scimark_benchmark: 859.5223, usercpu_time_millis: 570, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8871, kappa: 0.7559, kb_relative_information_score: 1329.5148, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.887, predictive_accuracy: 0.8872, prior_entropy: 0.9468, recall: 0.8872, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6448, scimark_benchmark: 897.0978, usercpu_time_millis: 280, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8891, kappa: 0.7601, kb_relative_information_score: 1329.1257, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8889, predictive_accuracy: 0.8892, prior_entropy: 0.9468, recall: 0.8892, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6518, scimark_benchmark: 941.589, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8744, kappa: 0.7289, kb_relative_information_score: 1309.746, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8745, predictive_accuracy: 0.8744, prior_entropy: 0.9468, recall: 0.8744, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6698, scimark_benchmark: 920.3788, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8707, kappa: 0.7204, kb_relative_information_score: 1560.5931, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8705, predictive_accuracy: 0.8708, prior_entropy: 0.9468, recall: 0.8708, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6375, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8707, kappa: 0.7204, kb_relative_information_score: 1560.5931, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8705, predictive_accuracy: 0.8708, prior_entropy: 0.9468, recall: 0.8708, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6375, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8707, kappa: 0.7204, kb_relative_information_score: 1560.5931, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8705, predictive_accuracy: 0.8708, prior_entropy: 0.9468, recall: 0.8708, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6375, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8707, kappa: 0.7204, kb_relative_information_score: 1560.5931, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8705, predictive_accuracy: 0.8708, prior_entropy: 0.9468, recall: 0.8708, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6375, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8698, kappa: 0.7185, kb_relative_information_score: 1557.7864, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.9468, recall: 0.87, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6378, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.4945, kb_relative_information_score: -1.0102, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.4045, predictive_accuracy: 0.636, prior_entropy: 0.9468, recall: 0.636, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4812, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9011, kappa: 0.7855, kb_relative_information_score: 1938.6094, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.9011, predictive_accuracy: 0.9016, prior_entropy: 0.9468, recall: 0.9016, relative_absolute_error: 0.2176, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6361, scimark_benchmark: 941.9549, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8975, kappa: 0.7776, kb_relative_information_score: 1910.5998, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8975, predictive_accuracy: 0.898, prior_entropy: 0.9468, recall: 0.898, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.64, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8798, kappa: 0.7419, kb_relative_information_score: 1807.1492, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.881, predictive_accuracy: 0.8792, prior_entropy: 0.9468, recall: 0.8792, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.328, root_relative_squared_error: 0.6816, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8503, kappa: 0.6831, kb_relative_information_score: 1650.5743, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8577, predictive_accuracy: 0.8484, prior_entropy: 0.9468, recall: 0.8484, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7566, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8942, kappa: 0.7705, kb_relative_information_score: 1609.8329, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8942, predictive_accuracy: 0.8948, prior_entropy: 0.9468, recall: 0.8948, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.6133, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8902, kappa: 0.761, kb_relative_information_score: 1689.2296, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8907, predictive_accuracy: 0.8912, prior_entropy: 0.9468, recall: 0.8912, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6391, scimark_benchmark: 1375.1578, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7955, kappa: 0.5559, kb_relative_information_score: 904.4102, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.7949, predictive_accuracy: 0.7968, prior_entropy: 0.9468, recall: 0.7968, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8186, scimark_benchmark: 1313.11, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8663, kappa: 0.712, kb_relative_information_score: 1686.3795, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8668, predictive_accuracy: 0.866, prior_entropy: 0.9468, recall: 0.866, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.655, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8902, kappa: 0.761, kb_relative_information_score: 1689.2296, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8907, predictive_accuracy: 0.8912, prior_entropy: 0.9468, recall: 0.8912, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6391, scimark_benchmark: 1315.9287, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.8979, kappa: 0.7778, kb_relative_information_score: 1576.2074, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8985, predictive_accuracy: 0.8988, prior_entropy: 0.9468, recall: 0.8988, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5857, scimark_benchmark: 1317.5348, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7615, kappa: 0.4783, kb_relative_information_score: 793.3462, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.7616, predictive_accuracy: 0.766, prior_entropy: 0.9468, recall: 0.766, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8571, scimark_benchmark: 1320.2063, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8621, kappa: 0.7009, kb_relative_information_score: 1585.7114, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8619, predictive_accuracy: 0.8628, prior_entropy: 0.9468, recall: 0.8628, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6728, scimark_benchmark: 1339.6197, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8826, kappa: 0.7451, kb_relative_information_score: 1555.4757, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8825, predictive_accuracy: 0.8832, prior_entropy: 0.9468, recall: 0.8832, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6709, scimark_benchmark: 1337.1928, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.83, kappa: 0.6337, kb_relative_information_score: 1548.7958, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8305, predictive_accuracy: 0.8296, prior_entropy: 0.9468, recall: 0.8296, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8579, scimark_benchmark: 1325.3966, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8663, kappa: 0.712, kb_relative_information_score: 1686.3795, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8668, predictive_accuracy: 0.866, prior_entropy: 0.9468, recall: 0.866, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.655, scimark_benchmark: 1336.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.872, kappa: 0.7214, kb_relative_information_score: 1463.1145, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8724, predictive_accuracy: 0.8732, prior_entropy: 0.9468, recall: 0.8732, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6681, scimark_benchmark: 1346.6261, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8694, kappa: 0.7184, kb_relative_information_score: 1691.844, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4633, number_of_instances: 2500, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 0.9468, recall: 0.8692, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6408, scimark_benchmark: 1343.3311,

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