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Supervised Classification on analcatdata_germangss

Supervised Classification on analcatdata_germangss

Task 4269 Supervised Classification analcatdata_germangss 188 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.347, kappa: 0.1527, kb_relative_information_score: 886.8636, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3409, predictive_accuracy: 0.3645, prior_entropy: 2, recall: 0.3645, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9856, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.4158, kappa: 0.22, kb_relative_information_score: 956.0375, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.4168, predictive_accuracy: 0.415, prior_entropy: 2, recall: 0.415, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.9426, scimark_benchmark: 934.3687, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.3018, kappa: 0.0797, kb_relative_information_score: 777.4599, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2964, predictive_accuracy: 0.3098, prior_entropy: 2, recall: 0.3098, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9835, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.3373, kappa: 0.1363, kb_relative_information_score: 871.3189, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3437, predictive_accuracy: 0.3523, prior_entropy: 2, recall: 0.3523, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.3143, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.3373, kappa: 0.1363, kb_relative_information_score: 871.3189, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3437, predictive_accuracy: 0.3523, prior_entropy: 2, recall: 0.3523, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.3143, scimark_benchmark: 941.3847, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.2002, kappa: -0.0647, kb_relative_information_score: 335.6348, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.199, predictive_accuracy: 0.2015, prior_entropy: 2, recall: 0.2015, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.1479, scimark_benchmark: 937.5117, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.347, kappa: 0.1527, kb_relative_information_score: 886.8636, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3409, predictive_accuracy: 0.3645, prior_entropy: 2, recall: 0.3645, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9856, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.4158, kappa: 0.22, kb_relative_information_score: 956.0375, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.4168, predictive_accuracy: 0.415, prior_entropy: 2, recall: 0.415, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.9426, scimark_benchmark: 938.1282, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.3373, kappa: 0.1363, kb_relative_information_score: 871.3189, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3437, predictive_accuracy: 0.3523, prior_entropy: 2, recall: 0.3523, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.3143, scimark_benchmark: 927.2882, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.3373, kappa: 0.1363, kb_relative_information_score: 871.3189, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3437, predictive_accuracy: 0.3523, prior_entropy: 2, recall: 0.3523, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.3143, 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: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.3018, kappa: 0.0797, kb_relative_information_score: 777.4599, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2964, predictive_accuracy: 0.3098, prior_entropy: 2, recall: 0.3098, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9835, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.2002, kappa: -0.0647, kb_relative_information_score: 335.6348, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.199, predictive_accuracy: 0.2015, prior_entropy: 2, recall: 0.2015, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.1479, scimark_benchmark: 917.5013, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.2671, kappa: 0.0313, kb_relative_information_score: 793.2619, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2618, predictive_accuracy: 0.2735, prior_entropy: 2, recall: 0.2735, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9904, scimark_benchmark: 938.988, usercpu_time_millis: 3020, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 2090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.2625, kappa: 0.0233, kb_relative_information_score: 786.382, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2582, predictive_accuracy: 0.2675, prior_entropy: 2, recall: 0.2675, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9922, scimark_benchmark: 938.1282, usercpu_time_millis: 1200, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.2697, kappa: 0.034, kb_relative_information_score: 790.2934, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.265, predictive_accuracy: 0.2755, prior_entropy: 2, recall: 0.2755, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9932, scimark_benchmark: 939.7241, usercpu_time_millis: 630, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.2729, kappa: 0.0373, kb_relative_information_score: 809.6835, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2687, predictive_accuracy: 0.278, prior_entropy: 2, recall: 0.278, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9955, scimark_benchmark: 921.2615, usercpu_time_millis: 300, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.2785, kappa: 0.0453, kb_relative_information_score: 807.2417, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2739, predictive_accuracy: 0.284, prior_entropy: 2, recall: 0.284, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4343, root_relative_squared_error: 1.0029, scimark_benchmark: 935.6052, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.0625, predictive_accuracy: 0.25, prior_entropy: 2, recall: 0.25, relative_absolute_error: 1, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.433, root_relative_squared_error: 1, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.2617, kappa: 0.1703, kb_relative_information_score: 656.9225, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2919, predictive_accuracy: 0.3778, prior_entropy: 2, recall: 0.3778, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.9597, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.2617, kappa: 0.1703, kb_relative_information_score: 656.9225, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2919, predictive_accuracy: 0.3778, prior_entropy: 2, recall: 0.3778, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.9597, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.2617, kappa: 0.1703, kb_relative_information_score: 656.9225, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2919, predictive_accuracy: 0.3778, prior_entropy: 2, recall: 0.3778, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.9597, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.2617, kappa: 0.1703, kb_relative_information_score: 656.9225, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2919, predictive_accuracy: 0.3778, prior_entropy: 2, recall: 0.3778, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.9597, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.2617, kappa: 0.1703, kb_relative_information_score: 656.9225, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2919, predictive_accuracy: 0.3778, prior_entropy: 2, recall: 0.3778, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.9597, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1, kb_relative_information_score: 377.4438, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.0625, predictive_accuracy: 0.25, prior_entropy: 2, recall: 0.25, relative_absolute_error: 1, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.4142, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.4019, kappa: 0.2, kb_relative_information_score: 864.9167, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.405, predictive_accuracy: 0.4, prior_entropy: 2, recall: 0.4, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.9414, scimark_benchmark: 942.6192, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.2784, kappa: 0.0423, kb_relative_information_score: 460.0415, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2763, predictive_accuracy: 0.2818, prior_entropy: 2, recall: 0.2818, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4368, root_relative_squared_error: 1.0087, scimark_benchmark: 906.0884, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.3512, kappa: 0.18, kb_relative_information_score: 674.3116, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3641, predictive_accuracy: 0.385, prior_entropy: 2, recall: 0.385, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.412, root_relative_squared_error: 0.9514, scimark_benchmark: 943.4741, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.347, kappa: 0.1527, kb_relative_information_score: 886.8636, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3409, predictive_accuracy: 0.3645, prior_entropy: 2, recall: 0.3645, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9856, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.4158, kappa: 0.22, kb_relative_information_score: 956.0375, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.4168, predictive_accuracy: 0.415, prior_entropy: 2, recall: 0.415, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.9426, scimark_benchmark: 845.538, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.3373, kappa: 0.1363, kb_relative_information_score: 871.3189, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3437, predictive_accuracy: 0.3523, prior_entropy: 2, recall: 0.3523, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.3143, scimark_benchmark: 945.988, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.3018, kappa: 0.0797, kb_relative_information_score: 777.4599, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2964, predictive_accuracy: 0.3098, prior_entropy: 2, recall: 0.3098, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9835, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.3044, kappa: 0.0703, kb_relative_information_score: 737.7676, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3071, predictive_accuracy: 0.3028, prior_entropy: 2, recall: 0.3028, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9838, scimark_benchmark: 1320.8283, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.2002, kappa: -0.0647, kb_relative_information_score: 335.6348, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.199, predictive_accuracy: 0.2015, prior_entropy: 2, recall: 0.2015, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.1479, scimark_benchmark: 1313.5633, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.3812, kappa: 0.1743, kb_relative_information_score: 1132.3849, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3819, predictive_accuracy: 0.3808, prior_entropy: 2, recall: 0.3808, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4684, root_relative_squared_error: 1.0817, scimark_benchmark: 1256.2802, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.4158, kappa: 0.22, kb_relative_information_score: 956.0375, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.4168, predictive_accuracy: 0.415, prior_entropy: 2, recall: 0.415, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.9426, scimark_benchmark: 1321.8132, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.3373, kappa: 0.1363, kb_relative_information_score: 871.3189, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3437, predictive_accuracy: 0.3523, prior_entropy: 2, recall: 0.3523, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.3143, scimark_benchmark: 1348.2804, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.3018, kappa: 0.0797, kb_relative_information_score: 777.4599, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2964, predictive_accuracy: 0.3098, prior_entropy: 2, recall: 0.3098, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9835, scimark_benchmark: 1347.7267, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 1333.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.2002, kappa: -0.0647, kb_relative_information_score: 335.6348, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.199, predictive_accuracy: 0.2015, prior_entropy: 2, recall: 0.2015, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.1479, scimark_benchmark: 1299.5896, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.3373, kappa: 0.1363, kb_relative_information_score: 871.3189, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3437, predictive_accuracy: 0.3523, prior_entropy: 2, recall: 0.3523, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.3143, scimark_benchmark: 1286.0816, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.2002, kappa: -0.0647, kb_relative_information_score: 335.6348, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.199, predictive_accuracy: 0.2015, prior_entropy: 2, recall: 0.2015, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.1479, scimark_benchmark: 1325.1482, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.3373, kappa: 0.1363, kb_relative_information_score: 871.3189, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3437, predictive_accuracy: 0.3523, prior_entropy: 2, recall: 0.3523, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.3143, scimark_benchmark: 1273.6928, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.3044, kappa: 0.0703, kb_relative_information_score: 737.7676, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.3071, predictive_accuracy: 0.3028, prior_entropy: 2, recall: 0.3028, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9838, scimark_benchmark: 940.3347, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.2002, kappa: -0.0647, kb_relative_information_score: 335.6348, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.199, predictive_accuracy: 0.2015, prior_entropy: 2, recall: 0.2015, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.1479, scimark_benchmark: 1322.7257, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.4047, kappa: 0.2087, kb_relative_information_score: 1146.9738, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.4047, predictive_accuracy: 0.4065, prior_entropy: 2, recall: 0.4065, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.9532, scimark_benchmark: 1337.7947, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2468, kappa: -0.0037, kb_relative_information_score: 548.1254, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.375, number_of_instances: 4000, precision: 0.2466, predictive_accuracy: 0.2473, prior_entropy: 2, recall: 0.2473, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9941, scimark_benchmark: 1341.5795,

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