Task
Supervised Classification on rabe_266

Supervised Classification on rabe_266

Task 4352 Supervised Classification rabe_266 238 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9484, kappa: 0.8966, kb_relative_information_score: 0.8808, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4988, weighted_recall: 0.9483, number_of_instances: 1200, precision: 0.9488, predictive_accuracy: 0.9483, prior_entropy: 0.9982, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3629, scimark_benchmark: 931.1106, unweighted_recall: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9425, kappa: 0.8847, kb_relative_information_score: 0.8676, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4988, weighted_recall: 0.9425, number_of_instances: 1200, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.9982, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4015, scimark_benchmark: 979.7764, unweighted_recall: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8721, kappa: 0.7466, kb_relative_information_score: 772.3277, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.8857, predictive_accuracy: 0.8725, prior_entropy: 0.9983, recall: 0.8725, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6572, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.94, kappa: 0.8799, kb_relative_information_score: 957.9344, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9405, predictive_accuracy: 0.94, prior_entropy: 0.9983, recall: 0.94, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4445, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.945, kappa: 0.8899, kb_relative_information_score: 1026.2077, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9453, predictive_accuracy: 0.945, prior_entropy: 0.9983, recall: 0.945, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4296, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3615, kb_relative_information_score: 55.9419, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9983, recall: 0.525, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.3801, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3615, kb_relative_information_score: 55.9419, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9983, recall: 0.525, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.3801, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8721, kappa: 0.7466, kb_relative_information_score: 763.9853, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.8857, predictive_accuracy: 0.8725, prior_entropy: 0.9983, recall: 0.8725, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6563, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8721, kappa: 0.7466, kb_relative_information_score: 763.9853, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.8857, predictive_accuracy: 0.8725, prior_entropy: 0.9983, recall: 0.8725, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6563, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.93, kappa: 0.8602, kb_relative_information_score: 931.6477, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9328, predictive_accuracy: 0.93, prior_entropy: 0.9983, recall: 0.93, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.4637, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9558, kappa: 0.9115, kb_relative_information_score: 922.1415, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9559, predictive_accuracy: 0.9558, prior_entropy: 0.9983, recall: 0.9558, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4192, scimark_benchmark: 938.9588, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8784, kappa: 0.7563, kb_relative_information_score: 803.3467, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.8787, predictive_accuracy: 0.8783, prior_entropy: 0.9983, recall: 0.8783, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6514, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3615, kb_relative_information_score: 55.9419, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9983, recall: 0.525, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.3801, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3615, kb_relative_information_score: 55.9419, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9983, recall: 0.525, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.3801, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8721, kappa: 0.7466, kb_relative_information_score: 760.9468, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.8857, predictive_accuracy: 0.8725, prior_entropy: 0.9983, recall: 0.8725, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6559, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9484, kappa: 0.8966, kb_relative_information_score: 1056.9041, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9488, predictive_accuracy: 0.9483, prior_entropy: 0.9983, recall: 0.9483, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3629, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8721, kappa: 0.7466, kb_relative_information_score: 772.3277, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.8857, predictive_accuracy: 0.8725, prior_entropy: 0.9983, recall: 0.8725, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6572, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.94, kappa: 0.8799, kb_relative_information_score: 957.9344, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9405, predictive_accuracy: 0.94, prior_entropy: 0.9983, recall: 0.94, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4445, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.945, kappa: 0.8899, kb_relative_information_score: 1026.2077, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9453, predictive_accuracy: 0.945, prior_entropy: 0.9983, recall: 0.945, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4296, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3615, kb_relative_information_score: 55.9419, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9983, recall: 0.525, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.3801, scimark_benchmark: 927.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3615, kb_relative_information_score: 55.9419, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9983, recall: 0.525, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.3801, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8721, kappa: 0.7466, kb_relative_information_score: 763.9853, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.8857, predictive_accuracy: 0.8725, prior_entropy: 0.9983, recall: 0.8725, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6563, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8721, kappa: 0.7466, kb_relative_information_score: 763.9853, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.8857, predictive_accuracy: 0.8725, prior_entropy: 0.9983, recall: 0.8725, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6563, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8721, kappa: 0.7466, kb_relative_information_score: 763.9853, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.8857, predictive_accuracy: 0.8725, prior_entropy: 0.9983, recall: 0.8725, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6563, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.93, kappa: 0.8602, kb_relative_information_score: 931.6477, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9328, predictive_accuracy: 0.93, prior_entropy: 0.9983, recall: 0.93, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.4637, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9558, kappa: 0.9115, kb_relative_information_score: 922.1415, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9559, predictive_accuracy: 0.9558, prior_entropy: 0.9983, recall: 0.9558, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4192, scimark_benchmark: 905.2959, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8721, kappa: 0.7466, kb_relative_information_score: 763.9853, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.8857, predictive_accuracy: 0.8725, prior_entropy: 0.9983, recall: 0.8725, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6563, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8784, kappa: 0.7563, kb_relative_information_score: 803.3467, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.8787, predictive_accuracy: 0.8783, prior_entropy: 0.9983, recall: 0.8783, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6514, scimark_benchmark: 730.6551, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9484, kappa: 0.8966, kb_relative_information_score: 1056.9041, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9488, predictive_accuracy: 0.9483, prior_entropy: 0.9983, recall: 0.9483, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3629, scimark_benchmark: 901.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9208, kappa: 0.8413, kb_relative_information_score: 1000.3405, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9208, predictive_accuracy: 0.9208, prior_entropy: 0.9983, recall: 0.9208, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4594, scimark_benchmark: 936.2574, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9208, kappa: 0.8413, kb_relative_information_score: 1000.0085, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9208, predictive_accuracy: 0.9208, prior_entropy: 0.9983, recall: 0.9208, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.4609, scimark_benchmark: 906.5979, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9208, kappa: 0.8412, kb_relative_information_score: 999.7038, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9208, predictive_accuracy: 0.9208, prior_entropy: 0.9983, recall: 0.9208, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.4607, scimark_benchmark: 929.7512, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9191, kappa: 0.8378, kb_relative_information_score: 996.8795, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9192, predictive_accuracy: 0.9192, prior_entropy: 0.9983, recall: 0.9192, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4653, scimark_benchmark: 901.5805, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9225, kappa: 0.8446, kb_relative_information_score: 1003.2385, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9225, predictive_accuracy: 0.9225, prior_entropy: 0.9983, recall: 0.9225, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.4637, scimark_benchmark: 896.2181, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9542, kappa: 0.9083, kb_relative_information_score: 1083.4802, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9555, predictive_accuracy: 0.9542, prior_entropy: 0.9983, recall: 0.9542, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4271, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9542, kappa: 0.9083, kb_relative_information_score: 1083.8099, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9555, predictive_accuracy: 0.9542, prior_entropy: 0.9983, recall: 0.9542, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4258, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9525, kappa: 0.905, kb_relative_information_score: 1081.5936, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9537, predictive_accuracy: 0.9525, prior_entropy: 0.9983, recall: 0.9525, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4261, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9517, kappa: 0.9033, kb_relative_information_score: 1073.0421, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9528, predictive_accuracy: 0.9517, prior_entropy: 0.9983, recall: 0.9517, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4172, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9492, kappa: 0.8983, kb_relative_information_score: 1048.6443, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9505, predictive_accuracy: 0.9492, prior_entropy: 0.9983, recall: 0.9492, relative_absolute_error: 0.1316, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4189, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9534, kappa: 0.9067, kb_relative_information_score: 1087.3742, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9546, predictive_accuracy: 0.9533, prior_entropy: 0.9983, recall: 0.9533, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.424, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9484, kappa: 0.8966, kb_relative_information_score: 1056.9041, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9488, predictive_accuracy: 0.9483, prior_entropy: 0.9983, recall: 0.9483, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3629, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.93, kappa: 0.8602, kb_relative_information_score: 931.6477, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9328, predictive_accuracy: 0.93, prior_entropy: 0.9983, recall: 0.93, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.4637, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9558, kappa: 0.9115, kb_relative_information_score: 922.1415, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.9559, predictive_accuracy: 0.9558, prior_entropy: 0.9983, recall: 0.9558, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4192, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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