Task
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 3874 Supervised Classification ecoli 605 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9495, kappa: 0.8968, kb_relative_information_score: 271.837, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4337, scimark_benchmark: 1323.4116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9554, kappa: 0.9088, kb_relative_information_score: 298.682, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3807, scimark_benchmark: 1339.5666, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 1286.0816, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 300.5327, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 1323.4116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 300.5327, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 1360.8502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9673, kappa: 0.9333, kb_relative_information_score: 302.4832, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9678, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3606, scimark_benchmark: 1315.7081, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 1360.6367, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 1341.3551, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9643, kappa: 0.9271, kb_relative_information_score: 299.5149, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 300.5327, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9495, kappa: 0.8968, kb_relative_information_score: 271.837, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4337, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 286.7527, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3868, scimark_benchmark: 1326.8946, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9643, kappa: 0.927, kb_relative_information_score: 290.1847, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3462, scimark_benchmark: 1341.5795, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 300.5327, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 300.5327, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9495, kappa: 0.8968, kb_relative_information_score: 281.9677, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3981, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 300.5327, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9465, kappa: 0.8908, kb_relative_information_score: 283.5972, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9469, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4484, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9495, kappa: 0.8968, kb_relative_information_score: 271.837, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4337, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 300.5327, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 300.5327, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 300.5327, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 300.5327, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 286.7527, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3868, scimark_benchmark: 1354.7191, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9465, kappa: 0.8908, kb_relative_information_score: 283.5972, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9469, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4484, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9495, kappa: 0.8968, kb_relative_information_score: 271.837, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4337, scimark_benchmark: 1337.5749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9465, kappa: 0.8908, kb_relative_information_score: 283.5972, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9469, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4484, scimark_benchmark: 1301.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9495, kappa: 0.8968, kb_relative_information_score: 271.837, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4337, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9375, kappa: 0.8721, kb_relative_information_score: 282.9811, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9375, predictive_accuracy: 0.9375, prior_entropy: 0.9842, recall: 0.9375, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4343, scimark_benchmark: 1342.1678, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9495, kappa: 0.8968, kb_relative_information_score: 271.837, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4337, scimark_benchmark: 1342.4239, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9524, kappa: 0.9026, kb_relative_information_score: 293.6273, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4401, scimark_benchmark: 1318.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9375, kappa: 0.8721, kb_relative_information_score: 282.9811, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9375, predictive_accuracy: 0.9375, prior_entropy: 0.9842, recall: 0.9375, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4343, scimark_benchmark: 833.3193, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9495, kappa: 0.8968, kb_relative_information_score: 301.1039, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.41, scimark_benchmark: 932.0242, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9142, kappa: 0.828, kb_relative_information_score: 271.1372, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9282, predictive_accuracy: 0.9137, prior_entropy: 0.9842, recall: 0.9137, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5483, scimark_benchmark: 1331.5882,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 294.1823, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3514, scimark_benchmark: 885.0921, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9554, kappa: 0.9091, kb_relative_information_score: 255.2326, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.956, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4155, scimark_benchmark: 932.0242, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 244.2602, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.452, scimark_benchmark: 1320.2556, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9524, kappa: 0.9026, kb_relative_information_score: 302.7514, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4067, scimark_benchmark: 887.6719, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9583, kappa: 0.9145, kb_relative_information_score: 297.0593, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9584, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4002, scimark_benchmark: 1384.4418, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9583, kappa: 0.9145, kb_relative_information_score: 294.9733, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9584, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3917, scimark_benchmark: 939.449, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9553, kappa: 0.9086, kb_relative_information_score: 289.8446, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4002, scimark_benchmark: 925.4974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9554, kappa: 0.9089, kb_relative_information_score: 281.4216, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.3922, scimark_benchmark: 1313.5726, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9465, kappa: 0.8908, kb_relative_information_score: 282.1291, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9469, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.191, root_relative_squared_error: 0.3863, scimark_benchmark: 924.1296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9495, kappa: 0.8968, kb_relative_information_score: 281.1087, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.195, root_relative_squared_error: 0.3944, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9495, kappa: 0.8968, kb_relative_information_score: 281.9677, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9497, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3981, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9405, kappa: 0.8785, kb_relative_information_score: 285.1651, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 0.9842, recall: 0.9405, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.241, root_relative_squared_error: 0.4874, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9583, kappa: 0.9145, kb_relative_information_score: 301.7139, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9584, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4016, scimark_benchmark: 1333.5799, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 298.8384, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4033, scimark_benchmark: 825.5282, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9553, kappa: 0.9086, kb_relative_information_score: 297.2716, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.3941, scimark_benchmark: 935.5075, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9524, kappa: 0.9026, kb_relative_information_score: 293.227, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4083, scimark_benchmark: 939.5088, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9435, kappa: 0.8847, kb_relative_information_score: 286.7428, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9437, predictive_accuracy: 0.9435, prior_entropy: 0.9842, recall: 0.9435, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4188, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9703, kappa: 0.9393, kb_relative_information_score: 297.9785, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9706, predictive_accuracy: 0.9702, prior_entropy: 0.9842, recall: 0.9702, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3626, scimark_benchmark: 915.9324, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9643, kappa: 0.9272, kb_relative_information_score: 298.7851, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9647, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.3677, scimark_benchmark: 940.3347, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 315.2891, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.9842, recall: 0.9702, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3489, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.4519, kappa: 0.04, kb_relative_information_score: 51.0162, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.7605, predictive_accuracy: 0.5893, prior_entropy: 0.9842, recall: 0.5893, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.6409, root_relative_squared_error: 1.2962, scimark_benchmark: 1336.3256, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9584, kappa: 0.9149, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 294.1823, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3514, scimark_benchmark: 1335.643, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 939.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9643, kappa: 0.927, kb_relative_information_score: 290.1847, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3462, scimark_benchmark: 918.0213, usercpu_time_millis: 770, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 750,

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