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: 0.9847, build_cpu_time: 0.0553, build_memory: 2328937890.5714, f_measure: 0.9494, kappa: 0.8966, kb_relative_information_score: 288.4072, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9495, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.3936, scimark_benchmark: 899.0817,
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: 0.9805, 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: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1322.0065, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 1344.0499,
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: 0.9855, 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: 0.979, 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: 0.9574, 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: 0.9899, 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: 1322.3407, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
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: 1337.3324,
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: 1332.9478,
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: 1350.7721,
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: 1319.4538,
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: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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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: 1316.5396, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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: 944.4621, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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: 1303.5632, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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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: 1296.8947, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9584, kappa: 0.9151, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9587, 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, usercpu_time_millis: 1.569, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 1.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 313.2244, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.3659, usercpu_time_millis: 0.757, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9524, kappa: 0.9028, kb_relative_information_score: 302.9013, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4414, usercpu_time_millis: 1.796, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 1.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9673, kappa: 0.9331, kb_relative_information_score: 313.2244, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.3659, usercpu_time_millis: 62.168, usercpu_time_millis_testing: 3.935, usercpu_time_millis_training: 58.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9135, kappa: 0.8227, kb_relative_information_score: 276.0611, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9137, predictive_accuracy: 0.9137, prior_entropy: 0.9842, recall: 0.9137, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.5942, usercpu_time_millis: 0.756, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9643, kappa: 0.927, kb_relative_information_score: 311.1598, mean_absolute_error: 0.0357, 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: 0.073, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3822, usercpu_time_millis: 12.804, usercpu_time_millis_testing: 1.662, usercpu_time_millis_training: 11.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9643, kappa: 0.9271, kb_relative_information_score: 311.1598, mean_absolute_error: 0.0357, 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: 0.073, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3822, usercpu_time_millis: 0.926, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9405, kappa: 0.8785, kb_relative_information_score: 294.6427, mean_absolute_error: 0.0595, 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: 0.1217, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4934, usercpu_time_millis: 2.018, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 1.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9464, kappa: 0.8904, kb_relative_information_score: 298.772, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9464, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4681, usercpu_time_millis: 1.636, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9405, kappa: 0.8785, kb_relative_information_score: 294.6427, mean_absolute_error: 0.0595, 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: 0.1217, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4934, usercpu_time_millis: 10.598, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 9.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9613, kappa: 0.9207, kb_relative_information_score: 309.0952, mean_absolute_error: 0.0387, 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: 0.0791, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.3978, usercpu_time_millis: 0.12, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9643, kappa: 0.9271, kb_relative_information_score: 311.1598, mean_absolute_error: 0.0357, 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: 0.073, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3822, usercpu_time_millis: 1.603, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9673, kappa: 0.9333, kb_relative_information_score: 313.2244, mean_absolute_error: 0.0327, 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: 0.067, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.3659, usercpu_time_millis: 0.153, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 313.2244, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.9842, recall: 0.9673, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.3659, usercpu_time_millis: 0.228, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.186,
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, usercpu_time_millis: 8.72, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 7.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5028, kappa: 0.0009, kb_relative_information_score: -10.9227, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.5115, predictive_accuracy: 0.5, prior_entropy: 0.9842, recall: 0.5, relative_absolute_error: 1.0225, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4301, usercpu_time_millis: 0.211, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9465, kappa: 0.8906, kb_relative_information_score: 298.772, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9466, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4681, usercpu_time_millis: 0.466, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4191, kb_relative_information_score: 40.693, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.3299, predictive_accuracy: 0.5744, prior_entropy: 0.9842, recall: 0.5744, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.6524, root_relative_squared_error: 1.3194, usercpu_time_millis: 0.289, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9583, kappa: 0.9146, 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, usercpu_time_millis: 0.389, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9703, kappa: 0.9392, kb_relative_information_score: 315.2891, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9704, 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, usercpu_time_millis: 0.377, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9462, kappa: 0.8896, kb_relative_information_score: 298.772, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9471, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4681, usercpu_time_millis: 0.043, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.031,

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