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Supervised Classification on fri_c4_100_25

Supervised Classification on fri_c4_100_25

Task 4437 Supervised Classification fri_c4_100_25 230 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.6918, kappa: 0.3794, kb_relative_information_score: 293.0207, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6917, predictive_accuracy: 0.692, prior_entropy: 0.9956, recall: 0.692, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.956, scimark_benchmark: 1337.1928, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1352.3373, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7846, kappa: 0.5657, kb_relative_information_score: 329.0806, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.786, prior_entropy: 0.9956, recall: 0.786, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7861, scimark_benchmark: 1292.514, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7246, kappa: 0.4447, kb_relative_information_score: 387.8732, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.726, prior_entropy: 0.9956, recall: 0.726, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9544, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.683, kappa: 0.362, kb_relative_information_score: 207.8383, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6831, predictive_accuracy: 0.683, prior_entropy: 0.9956, recall: 0.683, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.912, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7495, kappa: 0.4952, kb_relative_information_score: 445.6825, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8953, scimark_benchmark: 1404.0159, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7424, kappa: 0.4807, kb_relative_information_score: 437.5481, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.744, prior_entropy: 0.9956, recall: 0.744, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8702, scimark_benchmark: 1397.3209, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6984, kappa: 0.392, kb_relative_information_score: 394.4618, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.099, scimark_benchmark: 1358.5804, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7334, kappa: 0.4625, kb_relative_information_score: 433.9336, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7351, predictive_accuracy: 0.735, prior_entropy: 0.9956, recall: 0.735, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8814, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7495, kappa: 0.4952, kb_relative_information_score: 445.6825, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8953, scimark_benchmark: 1297.2338, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7621, kappa: 0.5205, kb_relative_information_score: 331.2234, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7654, predictive_accuracy: 0.764, prior_entropy: 0.9956, recall: 0.764, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8058, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6482, kappa: 0.2921, kb_relative_information_score: 257.946, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6484, predictive_accuracy: 0.648, prior_entropy: 0.9956, recall: 0.648, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0385, scimark_benchmark: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7495, kappa: 0.4952, kb_relative_information_score: 445.6825, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8953, scimark_benchmark: 938.0414, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7495, kappa: 0.4952, kb_relative_information_score: 445.6825, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8953, scimark_benchmark: 1328.1545, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7619, kappa: 0.5207, kb_relative_information_score: 272.843, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7692, predictive_accuracy: 0.765, prior_entropy: 0.9956, recall: 0.765, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.824, scimark_benchmark: 1329.4762, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7284, kappa: 0.4527, kb_relative_information_score: 401.8887, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7285, predictive_accuracy: 0.729, prior_entropy: 0.9956, recall: 0.729, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8544, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7246, kappa: 0.4447, kb_relative_information_score: 387.8732, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.726, prior_entropy: 0.9956, recall: 0.726, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9544, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7846, kappa: 0.5657, kb_relative_information_score: 329.0806, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.786, prior_entropy: 0.9956, recall: 0.786, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7861, scimark_benchmark: 1345.7204, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.629, kappa: 0.2523, kb_relative_information_score: 258.3659, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6303, predictive_accuracy: 0.632, prior_entropy: 0.9956, recall: 0.632, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5872, root_relative_squared_error: 1.1782, scimark_benchmark: 1288.1375, usercpu_time_millis: 520, usercpu_time_millis_testing: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.6514, kappa: 0.2975, kb_relative_information_score: 292.7894, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6512, predictive_accuracy: 0.652, prior_entropy: 0.9956, recall: 0.652, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5836, root_relative_squared_error: 1.1709, scimark_benchmark: 1341.1616, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7284, kappa: 0.4527, kb_relative_information_score: 401.8887, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7285, predictive_accuracy: 0.729, prior_entropy: 0.9956, recall: 0.729, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8544, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7284, kappa: 0.4527, kb_relative_information_score: 401.8887, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7285, predictive_accuracy: 0.729, prior_entropy: 0.9956, recall: 0.729, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8544, scimark_benchmark: 1345.842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7232, kappa: 0.4434, kb_relative_information_score: 425.1334, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7236, predictive_accuracy: 0.723, prior_entropy: 0.9956, recall: 0.723, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9767, scimark_benchmark: 916.6405, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.7812, kappa: 0.559, kb_relative_information_score: 329.6127, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.785, predictive_accuracy: 0.783, prior_entropy: 0.9956, recall: 0.783, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7857, scimark_benchmark: 1371.9645, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, f_measure: 0.639, kappa: 0.2735, kb_relative_information_score: 271.372, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6391, predictive_accuracy: 0.639, prior_entropy: 0.9956, recall: 0.639, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6008, root_relative_squared_error: 1.2055, scimark_benchmark: 925.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.6951, kappa: 0.3866, kb_relative_information_score: 347.9567, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6953, predictive_accuracy: 0.695, prior_entropy: 0.9956, recall: 0.695, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.93, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.7022, kappa: 0.4009, kb_relative_information_score: 405.8992, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7024, predictive_accuracy: 0.702, prior_entropy: 0.9956, recall: 0.702, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.511, root_relative_squared_error: 1.0252, scimark_benchmark: 887.6719, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.7823, kappa: 0.5613, kb_relative_information_score: 328.1595, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7857, predictive_accuracy: 0.784, prior_entropy: 0.9956, recall: 0.784, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7906, scimark_benchmark: 887.6719, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7693, kappa: 0.5349, kb_relative_information_score: 329.0195, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7723, predictive_accuracy: 0.771, prior_entropy: 0.9956, recall: 0.771, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.796, scimark_benchmark: 912.7324, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7621, kappa: 0.5205, kb_relative_information_score: 331.2234, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7654, predictive_accuracy: 0.764, prior_entropy: 0.9956, recall: 0.764, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8058, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7314, kappa: 0.4586, kb_relative_information_score: 419.2591, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7315, predictive_accuracy: 0.732, prior_entropy: 0.9956, recall: 0.732, relative_absolute_error: 0.5898, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9944, scimark_benchmark: 924.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7239, kappa: 0.4439, kb_relative_information_score: 437.2505, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7238, predictive_accuracy: 0.724, prior_entropy: 0.9956, recall: 0.724, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0124, scimark_benchmark: 938.9967, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.7259, kappa: 0.4479, kb_relative_information_score: 446.9182, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7258, predictive_accuracy: 0.726, prior_entropy: 0.9956, recall: 0.726, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9708, scimark_benchmark: 1318.1432, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.747, kappa: 0.4908, kb_relative_information_score: 461.1336, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.747, predictive_accuracy: 0.747, prior_entropy: 0.9956, recall: 0.747, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9176, scimark_benchmark: 1372.2145, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7588, kappa: 0.514, kb_relative_information_score: 474.6218, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7587, predictive_accuracy: 0.759, prior_entropy: 0.9956, recall: 0.759, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8518, scimark_benchmark: 943.1756, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7612, kappa: 0.5186, kb_relative_information_score: 441.7474, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7618, predictive_accuracy: 0.762, prior_entropy: 0.9956, recall: 0.762, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8338, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6115, kappa: 0.2177, kb_relative_information_score: 173.8418, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6139, predictive_accuracy: 0.616, prior_entropy: 0.9956, recall: 0.616, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9692, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.6036, kappa: 0.2009, kb_relative_information_score: 176.493, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6034, predictive_accuracy: 0.605, prior_entropy: 0.9956, recall: 0.605, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.0305, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.6383, kappa: 0.2709, kb_relative_information_score: 275.4077, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6395, predictive_accuracy: 0.641, prior_entropy: 0.9956, recall: 0.641, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5992, root_relative_squared_error: 1.2022, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.3867, kappa: 0.0054, kb_relative_information_score: 75.639, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.5989, predictive_accuracy: 0.542, prior_entropy: 0.9956, recall: 0.542, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6768, root_relative_squared_error: 1.3579, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6722, kappa: 0.3406, kb_relative_information_score: 337.9615, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6725, predictive_accuracy: 0.672, prior_entropy: 0.9956, recall: 0.672, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1491, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.6738, kappa: 0.3432, kb_relative_information_score: 240.8007, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6737, predictive_accuracy: 0.674, prior_entropy: 0.9956, recall: 0.674, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9419, scimark_benchmark: 915.6729, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.6602, kappa: 0.3163, kb_relative_information_score: 313.7471, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6604, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6776, kappa: 0.35, kb_relative_information_score: 267.3356, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6781, predictive_accuracy: 0.679, prior_entropy: 0.9956, recall: 0.679, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9694, scimark_benchmark: 932.0242, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7846, kappa: 0.5657, kb_relative_information_score: 329.0806, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.786, prior_entropy: 0.9956, recall: 0.786, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7861, scimark_benchmark: 1304.6687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs