Task
Supervised Classification on rmftsa_ctoarrivals

Supervised Classification on rmftsa_ctoarrivals

Task 4381 Supervised Classification rmftsa_ctoarrivals 218 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9404, kappa: 0.8729, kb_relative_information_score: 2173.455, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9419, predictive_accuracy: 0.9409, prior_entropy: 0.9604, recall: 0.9409, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4535, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9377, kappa: 0.8678, kb_relative_information_score: 1806.4863, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9378, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.5018, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9369, kappa: 0.866, kb_relative_information_score: 2085.0642, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.937, predictive_accuracy: 0.9371, prior_entropy: 0.9604, recall: 0.9371, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4628, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8814, kappa: 0.7523, kb_relative_information_score: 1953.7968, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.8863, predictive_accuracy: 0.8803, prior_entropy: 0.9604, recall: 0.8803, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7119, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8814, kappa: 0.7523, kb_relative_information_score: 1953.7968, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.8863, predictive_accuracy: 0.8803, prior_entropy: 0.9604, recall: 0.8803, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7119, scimark_benchmark: 904.0772, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9304, kappa: 0.8522, kb_relative_information_score: 1809.5192, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9306, predictive_accuracy: 0.9307, prior_entropy: 0.9604, recall: 0.9307, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4997, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9367, kappa: 0.866, kb_relative_information_score: 2068.6667, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.9604, recall: 0.9367, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4479, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9387, kappa: 0.8696, kb_relative_information_score: 2038.0647, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9392, predictive_accuracy: 0.939, prior_entropy: 0.9604, recall: 0.939, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4346, scimark_benchmark: 938.191, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9293, kappa: 0.8494, kb_relative_information_score: 1973.2258, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9306, predictive_accuracy: 0.9299, prior_entropy: 0.9604, recall: 0.9299, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5213, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8814, kappa: 0.7523, kb_relative_information_score: 1953.7968, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.8863, predictive_accuracy: 0.8803, prior_entropy: 0.9604, recall: 0.8803, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7119, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8814, kappa: 0.7523, kb_relative_information_score: 1953.7968, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.8863, predictive_accuracy: 0.8803, prior_entropy: 0.9604, recall: 0.8803, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7119, scimark_benchmark: 936.3373, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9288, kappa: 0.8502, kb_relative_information_score: 2214.3172, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9302, predictive_accuracy: 0.9284, prior_entropy: 0.9604, recall: 0.9284, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.455, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9404, kappa: 0.8729, kb_relative_information_score: 2173.455, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9419, predictive_accuracy: 0.9409, prior_entropy: 0.9604, recall: 0.9409, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4535, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9377, kappa: 0.8678, kb_relative_information_score: 1806.4863, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9378, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.5018, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9369, kappa: 0.866, kb_relative_information_score: 2085.0642, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.937, predictive_accuracy: 0.9371, prior_entropy: 0.9604, recall: 0.9371, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4628, scimark_benchmark: 940.1541, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8814, kappa: 0.7523, kb_relative_information_score: 1953.7968, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.8863, predictive_accuracy: 0.8803, prior_entropy: 0.9604, recall: 0.8803, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7119, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8814, kappa: 0.7523, kb_relative_information_score: 1953.7968, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.8863, predictive_accuracy: 0.8803, prior_entropy: 0.9604, recall: 0.8803, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7119, scimark_benchmark: 943.6618, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9367, kappa: 0.866, kb_relative_information_score: 2068.6667, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.9604, recall: 0.9367, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4479, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9387, kappa: 0.8696, kb_relative_information_score: 2038.0647, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9392, predictive_accuracy: 0.939, prior_entropy: 0.9604, recall: 0.939, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4346, scimark_benchmark: 919.3788, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9293, kappa: 0.8494, kb_relative_information_score: 1973.2258, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9306, predictive_accuracy: 0.9299, prior_entropy: 0.9604, recall: 0.9299, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5213, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9288, kappa: 0.8502, kb_relative_information_score: 2214.3172, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9302, predictive_accuracy: 0.9284, prior_entropy: 0.9604, recall: 0.9284, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.455, scimark_benchmark: 938.988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9442, kappa: 0.8816, kb_relative_information_score: 2163.2996, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9442, predictive_accuracy: 0.9443, prior_entropy: 0.9604, recall: 0.9443, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4282, scimark_benchmark: 936.2574, usercpu_time_millis: 650, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9437, kappa: 0.8806, kb_relative_information_score: 2167.5804, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 0.9604, recall: 0.9439, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4273, scimark_benchmark: 943.6618, usercpu_time_millis: 350, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9427, kappa: 0.8784, kb_relative_information_score: 2168.0423, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9427, predictive_accuracy: 0.9428, prior_entropy: 0.9604, recall: 0.9428, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4271, scimark_benchmark: 933.9243, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9397, kappa: 0.8721, kb_relative_information_score: 2165.0177, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9397, predictive_accuracy: 0.9398, prior_entropy: 0.9604, recall: 0.9398, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.429, scimark_benchmark: 901.5805, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9412, kappa: 0.8755, kb_relative_information_score: 2167.7619, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9412, predictive_accuracy: 0.9413, prior_entropy: 0.9604, recall: 0.9413, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4351, scimark_benchmark: 939.7883, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9396, kappa: 0.8726, kb_relative_information_score: 2062.6869, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9401, predictive_accuracy: 0.9394, prior_entropy: 0.9604, recall: 0.9394, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4821, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9396, kappa: 0.8726, kb_relative_information_score: 2062.6869, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9401, predictive_accuracy: 0.9394, prior_entropy: 0.9604, recall: 0.9394, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4821, scimark_benchmark: 930.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9396, kappa: 0.8726, kb_relative_information_score: 2062.6869, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9401, predictive_accuracy: 0.9394, prior_entropy: 0.9604, recall: 0.9394, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4821, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9396, kappa: 0.8726, kb_relative_information_score: 2062.6869, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9401, predictive_accuracy: 0.9394, prior_entropy: 0.9604, recall: 0.9394, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4821, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9396, kappa: 0.8726, kb_relative_information_score: 2062.6869, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9401, predictive_accuracy: 0.9394, prior_entropy: 0.9604, recall: 0.9394, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4821, scimark_benchmark: 936.1714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9304, kappa: 0.8522, kb_relative_information_score: 1809.5192, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9306, predictive_accuracy: 0.9307, prior_entropy: 0.9604, recall: 0.9307, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4997, scimark_benchmark: 1324.6442,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9304, kappa: 0.8522, kb_relative_information_score: 1809.5192, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9306, predictive_accuracy: 0.9307, prior_entropy: 0.9604, recall: 0.9307, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4997, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9367, kappa: 0.866, kb_relative_information_score: 2068.6667, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.9604, recall: 0.9367, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4479, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9387, kappa: 0.8696, kb_relative_information_score: 2038.0647, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9392, predictive_accuracy: 0.939, prior_entropy: 0.9604, recall: 0.939, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4346, scimark_benchmark: 1332.1612, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9369, kappa: 0.866, kb_relative_information_score: 2085.0642, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.937, predictive_accuracy: 0.9371, prior_entropy: 0.9604, recall: 0.9371, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4628, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9304, kappa: 0.8522, kb_relative_information_score: 1809.5192, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9306, predictive_accuracy: 0.9307, prior_entropy: 0.9604, recall: 0.9307, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4997, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9374, kappa: 0.8666, kb_relative_information_score: 2125.9958, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9604, recall: 0.9379, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4397, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9293, kappa: 0.8494, kb_relative_information_score: 1973.2258, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9306, predictive_accuracy: 0.9299, prior_entropy: 0.9604, recall: 0.9299, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5213, scimark_benchmark: 1358.6198, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9288, kappa: 0.8502, kb_relative_information_score: 2214.3172, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9302, predictive_accuracy: 0.9284, prior_entropy: 0.9604, recall: 0.9284, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.455, scimark_benchmark: 1320.8283, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9404, kappa: 0.8729, kb_relative_information_score: 2173.455, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.9419, predictive_accuracy: 0.9409, prior_entropy: 0.9604, recall: 0.9409, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4535, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9369, kappa: 0.866, kb_relative_information_score: 2085.0642, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4726, number_of_instances: 2640, precision: 0.937, predictive_accuracy: 0.9371, prior_entropy: 0.9604, recall: 0.9371, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4628, scimark_benchmark: 1319.5773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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