Task
Supervised Classification on primary-tumor

Supervised Classification on primary-tumor

Task 2111 Supervised Classification primary-tumor 305 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.3224, kappa: 0.2859, kb_relative_information_score: 33.4474, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2993, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.198, root_relative_squared_error: 0.9852, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.4511, kappa: 0.4207, kb_relative_information_score: 38.7029, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4419, predictive_accuracy: 0.4955, prior_entropy: 3.7542, recall: 0.4955, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.178, root_relative_squared_error: 0.8859, scimark_benchmark: 851.2074, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.3016, kappa: 0.2919, kb_relative_information_score: 31.1352, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2831, predictive_accuracy: 0.3964, prior_entropy: 3.7542, recall: 0.3964, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.9298, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.4276, kappa: 0.39, kb_relative_information_score: 37.1724, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4319, predictive_accuracy: 0.4685, prior_entropy: 3.7542, recall: 0.4685, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.9149, scimark_benchmark: 931.771, usercpu_time_millis: 350, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.249, kappa: 0.2123, kb_relative_information_score: 27.6887, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2352, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2377, root_relative_squared_error: 1.1831, scimark_benchmark: 941.3847, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.4391, kappa: 0.4247, kb_relative_information_score: 43.542, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4151, predictive_accuracy: 0.4955, prior_entropy: 3.7542, recall: 0.4955, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.8775, scimark_benchmark: 936.3373, usercpu_time_millis: 310, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.4276, kappa: 0.39, kb_relative_information_score: 37.1724, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4319, predictive_accuracy: 0.4685, prior_entropy: 3.7542, recall: 0.4685, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.9149, scimark_benchmark: 943.1009, usercpu_time_millis: 340, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.3224, kappa: 0.2859, kb_relative_information_score: 33.4474, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2993, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.198, root_relative_squared_error: 0.9852, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.4511, kappa: 0.4207, kb_relative_information_score: 38.7029, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4419, predictive_accuracy: 0.4955, prior_entropy: 3.7542, recall: 0.4955, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.178, root_relative_squared_error: 0.8859, scimark_benchmark: 944.0133, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.249, kappa: 0.2123, kb_relative_information_score: 27.6887, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2352, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2377, root_relative_squared_error: 1.1831, scimark_benchmark: 927.2882, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.249, kappa: 0.2123, kb_relative_information_score: 27.6887, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2352, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2377, root_relative_squared_error: 1.1831, scimark_benchmark: 934.5964, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.4396, kappa: 0.4169, kb_relative_information_score: 41.4413, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4266, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.9029, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.3016, kappa: 0.2919, kb_relative_information_score: 31.1352, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2831, predictive_accuracy: 0.3964, prior_entropy: 3.7542, recall: 0.3964, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.9298, scimark_benchmark: 941.4991, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.4391, kappa: 0.4247, kb_relative_information_score: 43.542, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4151, predictive_accuracy: 0.4955, prior_entropy: 3.7542, recall: 0.4955, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.8775, scimark_benchmark: 936.3213, usercpu_time_millis: 300, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.4276, kappa: 0.39, kb_relative_information_score: 37.1724, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4319, predictive_accuracy: 0.4685, prior_entropy: 3.7542, recall: 0.4685, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.9149, scimark_benchmark: 945.6228, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.419, kappa: 0.3903, kb_relative_information_score: 36.4293, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4027, predictive_accuracy: 0.4775, prior_entropy: 3.7542, recall: 0.4775, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.8947, scimark_benchmark: 927.2882, usercpu_time_millis: 4510, usercpu_time_millis_testing: 1890, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.3994, kappa: 0.3637, kb_relative_information_score: 36.4421, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3851, predictive_accuracy: 0.4505, prior_entropy: 3.7542, recall: 0.4505, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.8964, scimark_benchmark: 901.4991, usercpu_time_millis: 1990, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.3985, kappa: 0.3663, kb_relative_information_score: 36.5389, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3781, predictive_accuracy: 0.4595, prior_entropy: 3.7542, recall: 0.4595, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.18, root_relative_squared_error: 0.896, scimark_benchmark: 891.6381, usercpu_time_millis: 920, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.379, kappa: 0.3579, kb_relative_information_score: 36.4371, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3508, predictive_accuracy: 0.4505, prior_entropy: 3.7542, recall: 0.4505, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.181, root_relative_squared_error: 0.9009, scimark_benchmark: 935.0213, usercpu_time_millis: 410, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.3721, kappa: 0.329, kb_relative_information_score: 37.4353, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3585, predictive_accuracy: 0.4144, prior_entropy: 3.7542, recall: 0.4144, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.9012, scimark_benchmark: 894.7131, usercpu_time_millis: 370, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1016, kb_relative_information_score: 0.4942, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.0636, predictive_accuracy: 0.2523, prior_entropy: 3.7542, recall: 0.2523, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2016, root_relative_squared_error: 1.0034, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.2227, kappa: 0.2127, kb_relative_information_score: 18.4455, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.1735, predictive_accuracy: 0.3514, prior_entropy: 3.7542, recall: 0.3514, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.947, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.2227, kappa: 0.2127, kb_relative_information_score: 18.4455, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.1735, predictive_accuracy: 0.3514, prior_entropy: 3.7542, recall: 0.3514, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.947, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.2227, kappa: 0.2127, kb_relative_information_score: 18.4455, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.1735, predictive_accuracy: 0.3514, prior_entropy: 3.7542, recall: 0.3514, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.947, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.2227, kappa: 0.2127, kb_relative_information_score: 18.4455, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.1735, predictive_accuracy: 0.3514, prior_entropy: 3.7542, recall: 0.3514, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.947, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.2227, kappa: 0.2127, kb_relative_information_score: 18.4455, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.1735, predictive_accuracy: 0.3514, prior_entropy: 3.7542, recall: 0.3514, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.947, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1016, kb_relative_information_score: 13.4281, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.0636, predictive_accuracy: 0.2523, prior_entropy: 3.7542, recall: 0.2523, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2607, root_relative_squared_error: 1.2976, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.3875, kappa: 0.3935, kb_relative_information_score: 34.0715, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3408, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.879, scimark_benchmark: 906.0884, usercpu_time_millis: 310, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.4544, kappa: 0.4302, kb_relative_information_score: 28.4939, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4411, predictive_accuracy: 0.5045, prior_entropy: 3.7542, recall: 0.5045, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.9113, scimark_benchmark: 845.538, usercpu_time_millis: 1850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.1972, kappa: 0.1672, kb_relative_information_score: 11.8488, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.1561, predictive_accuracy: 0.2883, prior_entropy: 3.7542, recall: 0.2883, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.972, scimark_benchmark: 931.7994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.4232, kappa: 0.4109, kb_relative_information_score: 39.1003, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4146, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.8886, scimark_benchmark: 1306.5596, usercpu_time_millis: 1110, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.249, kappa: 0.2123, kb_relative_information_score: 27.6887, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2352, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2377, root_relative_squared_error: 1.1831, scimark_benchmark: 1340.5125, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 1337.7902,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 1338.6409, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.3016, kappa: 0.2919, kb_relative_information_score: 31.1352, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2831, predictive_accuracy: 0.3964, prior_entropy: 3.7542, recall: 0.3964, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.9298, scimark_benchmark: 1306.468, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.4276, kappa: 0.39, kb_relative_information_score: 37.1724, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4319, predictive_accuracy: 0.4685, prior_entropy: 3.7542, recall: 0.4685, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.9149, scimark_benchmark: 1331.2559, usercpu_time_millis: 240, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.3224, kappa: 0.2859, kb_relative_information_score: 33.4474, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2993, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.198, root_relative_squared_error: 0.9852, scimark_benchmark: 1308.6872, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.4251, kappa: 0.4123, kb_relative_information_score: 43.4516, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4282, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2161, root_relative_squared_error: 1.0753, scimark_benchmark: 1347.7267, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.4251, kappa: 0.4123, kb_relative_information_score: 43.4516, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4282, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2161, root_relative_squared_error: 1.0753, scimark_benchmark: 1351.81, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.249, kappa: 0.2123, kb_relative_information_score: 27.6887, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2352, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2377, root_relative_squared_error: 1.1831, scimark_benchmark: 1347.1763, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.4396, kappa: 0.4169, kb_relative_information_score: 41.4413, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4266, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.9029, scimark_benchmark: 1356.4396, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 1343.3311, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 1351.1238, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.4116, kappa: 0.389, kb_relative_information_score: 44.3425, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3854, predictive_accuracy: 0.4685, prior_entropy: 3.7542, recall: 0.4685, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.8712, scimark_benchmark: 1363.1824, usercpu_time_millis: 110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.249, kappa: 0.2123, kb_relative_information_score: 27.6887, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2352, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2377, root_relative_squared_error: 1.1831, scimark_benchmark: 1347.4442, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.4276, kappa: 0.39, kb_relative_information_score: 37.1724, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4319, predictive_accuracy: 0.4685, prior_entropy: 3.7542, recall: 0.4685, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.9149, scimark_benchmark: 1347.993, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.4396, kappa: 0.4169, kb_relative_information_score: 41.4413, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4266, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.9029, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.4276, kappa: 0.39, kb_relative_information_score: 37.1724, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4319, predictive_accuracy: 0.4685, prior_entropy: 3.7542, recall: 0.4685, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.9149, scimark_benchmark: 1326.8946, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 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

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From your own software

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

OpenML APIs