Task
Supervised Classification on prnn_viruses

Supervised Classification on prnn_viruses

Task 4274 Supervised Classification prnn_viruses 196 runs submitted
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1), predictive_accuracy(1, 1), root_mean_squared_error(1, 1), prior_entropy(1, 1), total_cost(1, 1), f_measure(1, 1), root_relative_squared_error(1, 1), area_under_roc_curve(1, 1), mean_prior_absolute_error(1, 1), precision(1, 1), average_cost(1, 1), number_of_instances(1, 1), recall(1, 1), kb_relative_information_score(1, 1), kappa(1, 1), root_mean_prior_squared_error(1, 1), relative_absolute_error(1, 1), mean_absolute_error(1, 2), predictive_accuracy(1, 2), root_mean_squared_error(1, 2), prior_entropy(1, 2), total_cost(1, 2), root_relative_squared_error(1, 2), area_under_roc_curve(1, 2), mean_prior_absolute_error(1, 2), average_cost(1, 2), number_of_instances(1, 2), recall(1, 2), kb_relative_information_score(1, 2), kappa(1, 2), root_mean_prior_squared_error(1, 2), relative_absolute_error(1, 2), mean_absolute_error(1, 3), predictive_accuracy(1, 3), root... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9479, kappa: 0.9193, kb_relative_information_score: 524.0326, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9548, predictive_accuracy: 0.9574, prior_entropy: 1.5019, recall: 0.9574, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3722, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9521, kappa: 0.9112, kb_relative_information_score: 522.5188, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9532, predictive_accuracy: 0.9525, prior_entropy: 1.5019, recall: 0.9525, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4056, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9498, kappa: 0.9057, kb_relative_information_score: 530.1747, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9621, predictive_accuracy: 0.9492, prior_entropy: 1.5019, recall: 0.9492, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3396, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9498, kappa: 0.9057, kb_relative_information_score: 530.1747, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9621, predictive_accuracy: 0.9492, prior_entropy: 1.5019, recall: 0.9492, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3396, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8266, kappa: 0.6703, kb_relative_information_score: 365.6256, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.8318, predictive_accuracy: 0.8328, prior_entropy: 1.5019, recall: 0.8328, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.6489, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9527, kappa: 0.9103, kb_relative_information_score: 505.3934, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9576, predictive_accuracy: 0.9525, prior_entropy: 1.5019, recall: 0.9525, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.4109, scimark_benchmark: 927.2917, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.96, kappa: 0.9254, kb_relative_information_score: 537.0731, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 1.5019, recall: 0.9607, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3837, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.96, kappa: 0.9254, kb_relative_information_score: 537.0731, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 1.5019, recall: 0.9607, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3837, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.936, kappa: 0.8796, kb_relative_information_score: 516.828, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9496, predictive_accuracy: 0.9344, prior_entropy: 1.5019, recall: 0.9344, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4496, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9498, kappa: 0.9057, kb_relative_information_score: 530.1747, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9621, predictive_accuracy: 0.9492, prior_entropy: 1.5019, recall: 0.9492, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3396, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9498, kappa: 0.9057, kb_relative_information_score: 530.1747, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9621, predictive_accuracy: 0.9492, prior_entropy: 1.5019, recall: 0.9492, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3396, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9439, kappa: 0.8944, kb_relative_information_score: 444.5767, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.948, predictive_accuracy: 0.9459, prior_entropy: 1.5019, recall: 0.9459, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4554, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9479, kappa: 0.9193, kb_relative_information_score: 524.0326, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9548, predictive_accuracy: 0.9574, prior_entropy: 1.5019, recall: 0.9574, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3722, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9521, kappa: 0.9112, kb_relative_information_score: 522.5188, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9532, predictive_accuracy: 0.9525, prior_entropy: 1.5019, recall: 0.9525, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4056, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.96, kappa: 0.9254, kb_relative_information_score: 537.0731, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 1.5019, recall: 0.9607, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3837, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.96, kappa: 0.9254, kb_relative_information_score: 537.0731, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 1.5019, recall: 0.9607, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3837, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9498, kappa: 0.9057, kb_relative_information_score: 530.1747, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9621, predictive_accuracy: 0.9492, prior_entropy: 1.5019, recall: 0.9492, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3396, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9498, kappa: 0.9057, kb_relative_information_score: 530.1747, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9621, predictive_accuracy: 0.9492, prior_entropy: 1.5019, recall: 0.9492, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3396, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9498, kappa: 0.9057, kb_relative_information_score: 530.1747, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9621, predictive_accuracy: 0.9492, prior_entropy: 1.5019, recall: 0.9492, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3396, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8266, kappa: 0.6703, kb_relative_information_score: 365.6256, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.8318, predictive_accuracy: 0.8328, prior_entropy: 1.5019, recall: 0.8328, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.6489, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9498, kappa: 0.9057, kb_relative_information_score: 530.1747, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9621, predictive_accuracy: 0.9492, prior_entropy: 1.5019, recall: 0.9492, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3396, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9439, kappa: 0.8944, kb_relative_information_score: 444.5767, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.948, predictive_accuracy: 0.9459, prior_entropy: 1.5019, recall: 0.9459, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4554, scimark_benchmark: 730.6551, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.971, kappa: 0.9477, kb_relative_information_score: 501.0448, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9737, predictive_accuracy: 0.9721, prior_entropy: 1.5019, recall: 0.9721, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.3226, scimark_benchmark: 938.1282, usercpu_time_millis: 830, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9764, kappa: 0.9569, kb_relative_information_score: 502.9845, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9781, predictive_accuracy: 0.977, prior_entropy: 1.5019, recall: 0.977, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.3161, scimark_benchmark: 934.695, usercpu_time_millis: 420, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.968, kappa: 0.9416, kb_relative_information_score: 501.2879, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9701, predictive_accuracy: 0.9689, prior_entropy: 1.5019, recall: 0.9689, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.3271, scimark_benchmark: 899.0468, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9735, kappa: 0.9509, kb_relative_information_score: 504.9005, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9745, predictive_accuracy: 0.9738, prior_entropy: 1.5019, recall: 0.9738, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3212, scimark_benchmark: 933.9, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.96, kappa: 0.926, kb_relative_information_score: 495.3813, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9601, predictive_accuracy: 0.9607, prior_entropy: 1.5019, recall: 0.9607, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.3633, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4067, f_measure: 0.4987, kb_relative_information_score: -3.1959, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.4088, predictive_accuracy: 0.6393, prior_entropy: 1.5019, recall: 0.6393, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.0043, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.7977, kappa: 0.7132, kb_relative_information_score: 291.0809, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.7653, predictive_accuracy: 0.8525, prior_entropy: 1.5019, recall: 0.8525, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.6584, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.7977, kappa: 0.7132, kb_relative_information_score: 291.0809, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.7653, predictive_accuracy: 0.8525, prior_entropy: 1.5019, recall: 0.8525, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.6584, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.7977, kappa: 0.7132, kb_relative_information_score: 291.0809, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.7653, predictive_accuracy: 0.8525, prior_entropy: 1.5019, recall: 0.8525, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.6584, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.7977, kappa: 0.7132, kb_relative_information_score: 318.5377, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.7653, predictive_accuracy: 0.8525, prior_entropy: 1.5019, recall: 0.8525, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.264, root_relative_squared_error: 0.7222, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.7977, kappa: 0.7132, kb_relative_information_score: 364.9919, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.7653, predictive_accuracy: 0.8525, prior_entropy: 1.5019, recall: 0.8525, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.7409, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4987, kb_relative_information_score: 143.1982, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.4088, predictive_accuracy: 0.6393, prior_entropy: 1.5019, recall: 0.6393, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.4247, root_relative_squared_error: 1.1616, scimark_benchmark: 922.8232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9838, kappa: 0.9694, kb_relative_information_score: 546.2979, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9854, predictive_accuracy: 0.9836, prior_entropy: 1.5019, recall: 0.9836, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.094, root_relative_squared_error: 0.2571, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9623, kappa: 0.9296, kb_relative_information_score: 421.372, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9657, predictive_accuracy: 0.9623, prior_entropy: 1.5019, recall: 0.9623, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.4492, scimark_benchmark: 906.0884, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.936, kappa: 0.8796, kb_relative_information_score: 516.828, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9496, predictive_accuracy: 0.9344, prior_entropy: 1.5019, recall: 0.9344, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4496, scimark_benchmark: 1345.6844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9527, kappa: 0.9103, kb_relative_information_score: 505.3934, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9576, predictive_accuracy: 0.9525, prior_entropy: 1.5019, recall: 0.9525, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.4109, scimark_benchmark: 1320.8283, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9439, kappa: 0.8944, kb_relative_information_score: 444.5767, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.948, predictive_accuracy: 0.9459, prior_entropy: 1.5019, recall: 0.9459, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4554, scimark_benchmark: 1330.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9479, kappa: 0.9193, kb_relative_information_score: 524.0326, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9548, predictive_accuracy: 0.9574, prior_entropy: 1.5019, recall: 0.9574, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3722, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9455, kappa: 0.8983, kb_relative_information_score: 477.8462, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9488, predictive_accuracy: 0.9459, prior_entropy: 1.5019, recall: 0.9459, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.16, root_relative_squared_error: 0.4378, scimark_benchmark: 1339.3082, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9521, kappa: 0.9112, kb_relative_information_score: 522.458, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9532, predictive_accuracy: 0.9525, prior_entropy: 1.5019, recall: 0.9525, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4081, scimark_benchmark: 1321.8132, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.954, kappa: 0.9145, kb_relative_information_score: 494.6354, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9545, predictive_accuracy: 0.9541, prior_entropy: 1.5019, recall: 0.9541, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3682, scimark_benchmark: 1310.3168, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.96, kappa: 0.9254, kb_relative_information_score: 537.0731, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 1.5019, recall: 0.9607, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3837, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.936, kappa: 0.8796, kb_relative_information_score: 516.828, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9496, predictive_accuracy: 0.9344, prior_entropy: 1.5019, recall: 0.9344, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4496, scimark_benchmark: 1365.0842,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8266, kappa: 0.6703, kb_relative_information_score: 365.6256, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.8318, predictive_accuracy: 0.8328, prior_entropy: 1.5019, recall: 0.8328, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.6489, scimark_benchmark: 1320.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9498, kappa: 0.9057, kb_relative_information_score: 530.1747, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2735, number_of_instances: 610, precision: 0.9621, predictive_accuracy: 0.9492, prior_entropy: 1.5019, recall: 0.9492, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3396, scimark_benchmark: 1337.4384,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs