Task
Supervised Classification on ionosphere

Supervised Classification on ionosphere

Task 1937 Supervised Classification ionosphere 207 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8986, kappa: 0.7775, kb_relative_information_score: 2539.7495, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9002, predictive_accuracy: 0.9, prior_entropy: 0.9425, recall: 0.9, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6246, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9095, kappa: 0.8016, kb_relative_information_score: 2317.8741, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9107, predictive_accuracy: 0.9105, prior_entropy: 0.9425, recall: 0.9105, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.5729, scimark_benchmark: 972.587, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9278, kappa: 0.8408, kb_relative_information_score: 2950.1648, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9335, predictive_accuracy: 0.9293, prior_entropy: 0.9425, recall: 0.9293, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5541, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9278, kappa: 0.8408, kb_relative_information_score: 2950.1648, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9335, predictive_accuracy: 0.9293, prior_entropy: 0.9425, recall: 0.9293, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5541, scimark_benchmark: 941.3142, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9097, kappa: 0.8028, kb_relative_information_score: 2482.2224, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9098, predictive_accuracy: 0.9103, prior_entropy: 0.9425, recall: 0.9103, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5432, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9437, kappa: 0.8765, kb_relative_information_score: 2856.9628, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9459, predictive_accuracy: 0.9444, prior_entropy: 0.9425, recall: 0.9444, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4299, scimark_benchmark: 943.8235, usercpu_time_millis: 2660, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9341, kappa: 0.8556, kb_relative_information_score: 2622.828, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9352, predictive_accuracy: 0.9348, prior_entropy: 0.9425, recall: 0.9348, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4712, scimark_benchmark: 931.771, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9278, kappa: 0.8408, kb_relative_information_score: 2950.1648, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9335, predictive_accuracy: 0.9293, prior_entropy: 0.9425, recall: 0.9293, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5541, scimark_benchmark: 932.438, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8974, kappa: 0.776, kb_relative_information_score: 2622.0681, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.8974, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6319, scimark_benchmark: 947.1781, usercpu_time_millis: 1530, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9341, kappa: 0.8556, kb_relative_information_score: 2622.828, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9352, predictive_accuracy: 0.9348, prior_entropy: 0.9425, recall: 0.9348, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4712, scimark_benchmark: 943.1009, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8986, kappa: 0.7775, kb_relative_information_score: 2539.7495, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9002, predictive_accuracy: 0.9, prior_entropy: 0.9425, recall: 0.9, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6246, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9095, kappa: 0.8016, kb_relative_information_score: 2317.8741, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9107, predictive_accuracy: 0.9105, prior_entropy: 0.9425, recall: 0.9105, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.5729, scimark_benchmark: 935.2002, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8972, kappa: 0.7752, kb_relative_information_score: 2506.308, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.8975, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.5819, scimark_benchmark: 608.4057, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9278, kappa: 0.8408, kb_relative_information_score: 2950.1648, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9335, predictive_accuracy: 0.9293, prior_entropy: 0.9425, recall: 0.9293, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5541, scimark_benchmark: 730.6551, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9278, kappa: 0.8408, kb_relative_information_score: 2950.1648, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9335, predictive_accuracy: 0.9293, prior_entropy: 0.9425, recall: 0.9293, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5541, scimark_benchmark: 906.0979, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9097, kappa: 0.8028, kb_relative_information_score: 2482.2224, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9098, predictive_accuracy: 0.9103, prior_entropy: 0.9425, recall: 0.9103, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5432, scimark_benchmark: 933.3455, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9437, kappa: 0.8765, kb_relative_information_score: 2856.9628, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9459, predictive_accuracy: 0.9444, prior_entropy: 0.9425, recall: 0.9444, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4299, scimark_benchmark: 936.9595, usercpu_time_millis: 2410, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8974, kappa: 0.776, kb_relative_information_score: 2622.0681, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.8974, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6319, scimark_benchmark: 936.3213, usercpu_time_millis: 1530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9341, kappa: 0.8556, kb_relative_information_score: 2622.828, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9352, predictive_accuracy: 0.9348, prior_entropy: 0.9425, recall: 0.9348, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4712, scimark_benchmark: 901.4991, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9424, kappa: 0.8738, kb_relative_information_score: 2659.7391, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9438, predictive_accuracy: 0.943, prior_entropy: 0.9425, recall: 0.943, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4448, scimark_benchmark: 944.0133, usercpu_time_millis: 5900, usercpu_time_millis_testing: 2340, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9436, kappa: 0.8764, kb_relative_information_score: 2659.4726, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9449, predictive_accuracy: 0.9442, prior_entropy: 0.9425, recall: 0.9442, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4447, scimark_benchmark: 934.7923, usercpu_time_millis: 3110, usercpu_time_millis_testing: 1270, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9453, kappa: 0.8802, kb_relative_information_score: 2658.4477, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9466, predictive_accuracy: 0.9459, prior_entropy: 0.9425, recall: 0.9459, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4481, scimark_benchmark: 942.5233, usercpu_time_millis: 1240, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.941, kappa: 0.8706, kb_relative_information_score: 2650.101, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9424, predictive_accuracy: 0.9416, prior_entropy: 0.9425, recall: 0.9416, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.219, root_relative_squared_error: 0.4565, scimark_benchmark: 930.0025, usercpu_time_millis: 570, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9383, kappa: 0.865, kb_relative_information_score: 2650.6521, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9389, predictive_accuracy: 0.9387, prior_entropy: 0.9425, recall: 0.9387, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4695, scimark_benchmark: 941.9549, usercpu_time_millis: 320, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9193, kappa: 0.8232, kb_relative_information_score: 2816.9636, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9205, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5381, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9193, kappa: 0.8232, kb_relative_information_score: 2816.9636, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9205, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5381, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9196, kappa: 0.8238, kb_relative_information_score: 2817.0392, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9209, predictive_accuracy: 0.9205, prior_entropy: 0.9425, recall: 0.9205, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5378, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9204, kappa: 0.8256, kb_relative_information_score: 2748.7658, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9211, predictive_accuracy: 0.9211, prior_entropy: 0.9425, recall: 0.9211, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5338, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9097, kappa: 0.8028, kb_relative_information_score: 2482.2224, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9098, predictive_accuracy: 0.9103, prior_entropy: 0.9425, recall: 0.9103, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5432, scimark_benchmark: 1310.6554, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9097, kappa: 0.8028, kb_relative_information_score: 2482.2224, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9098, predictive_accuracy: 0.9103, prior_entropy: 0.9425, recall: 0.9103, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5432, scimark_benchmark: 1337.9552, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9437, kappa: 0.8765, kb_relative_information_score: 2856.9619, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9459, predictive_accuracy: 0.9444, prior_entropy: 0.9425, recall: 0.9444, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.43, scimark_benchmark: 1343.3311, usercpu_time_millis: 1880, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8986, kappa: 0.7775, kb_relative_information_score: 2539.7495, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9002, predictive_accuracy: 0.9, prior_entropy: 0.9425, recall: 0.9, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6246, scimark_benchmark: 1385.8862, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 1317.5857, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 1327.3335, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8974, kappa: 0.776, kb_relative_information_score: 2622.0681, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.8974, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6319, scimark_benchmark: 1320.8283, usercpu_time_millis: 1570, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9341, kappa: 0.8556, kb_relative_information_score: 2622.828, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9352, predictive_accuracy: 0.9348, prior_entropy: 0.9425, recall: 0.9348, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4712, scimark_benchmark: 1310.6554, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8816, kappa: 0.7386, kb_relative_information_score: 2599.5667, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.8887, predictive_accuracy: 0.8849, prior_entropy: 0.9425, recall: 0.8849, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.7072, scimark_benchmark: 1330.9181, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8972, kappa: 0.7752, kb_relative_information_score: 2506.308, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.8975, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.5819, scimark_benchmark: 1344.0499, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 1367.3264, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 1292.1745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9097, kappa: 0.8028, kb_relative_information_score: 2482.2224, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9098, predictive_accuracy: 0.9103, prior_entropy: 0.9425, recall: 0.9103, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5432, scimark_benchmark: 1313.5633, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 1333.1149, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9341, kappa: 0.8556, kb_relative_information_score: 2622.828, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9352, predictive_accuracy: 0.9348, prior_entropy: 0.9425, recall: 0.9348, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4712, scimark_benchmark: 1313.5633, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9095, kappa: 0.8016, kb_relative_information_score: 2317.8741, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9107, predictive_accuracy: 0.9105, prior_entropy: 0.9425, recall: 0.9105, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.5729, scimark_benchmark: 1323.4116, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.919, kappa: 0.8221, kb_relative_information_score: 2882.9193, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9214, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5621, scimark_benchmark: 1324.9809, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8974, kappa: 0.776, kb_relative_information_score: 2622.0681, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.8974, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6319, scimark_benchmark: 1348.2804, usercpu_time_millis: 1590, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9245, kappa: 0.8341, kb_relative_information_score: 2913.3913, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9271, predictive_accuracy: 0.9256, prior_entropy: 0.9425, recall: 0.9256, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5376, scimark_benchmark: 1318.2298, usercpu_time_millis: 260, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9278, kappa: 0.8408, kb_relative_information_score: 2950.1648, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9335, predictive_accuracy: 0.9293, prior_entropy: 0.9425, recall: 0.9293, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5541, scimark_benchmark: 1375.1578, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9341, kappa: 0.8556, kb_relative_information_score: 2622.828, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9352, predictive_accuracy: 0.9348, prior_entropy: 0.9425, recall: 0.9348, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4712, scimark_benchmark: 1260.1387, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9341, kappa: 0.8556, kb_relative_information_score: 2622.828, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.9352, predictive_accuracy: 0.9348, prior_entropy: 0.9425, recall: 0.9348, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4712, scimark_benchmark: 1281.7531, usercpu_time_millis: 140, usercpu_time_millis_training: 140,

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