OpenML
Supervised Classification on fri_c1_250_50

Supervised Classification on fri_c1_250_50

Task 3635 Supervised Classification fri_c1_250_50 546 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8799, kappa: 0.7574, kb_relative_information_score: 184.3858, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9934, recall: 0.88, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6898, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.8879, kappa: 0.7736, kb_relative_information_score: 174.4714, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5496, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8477, kappa: 0.6922, kb_relative_information_score: 78.6855, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.78, scimark_benchmark: 1838.8826, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8642, kappa: 0.7267, kb_relative_information_score: 179.9083, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8655, predictive_accuracy: 0.864, prior_entropy: 0.9934, recall: 0.864, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7378, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.5811, kappa: 0.1524, kb_relative_information_score: 38.9562, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5808, predictive_accuracy: 0.584, prior_entropy: 0.9934, recall: 0.584, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6421, root_relative_squared_error: 1.2903, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.6749, kappa: 0.3424, kb_relative_information_score: 63.5455, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6748, predictive_accuracy: 0.676, prior_entropy: 0.9934, recall: 0.676, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9073, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.6664, kappa: 0.3251, kb_relative_information_score: 63.6003, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6665, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9251, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.388, kb_relative_information_score: -0.0676, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8278, kappa: 0.652, kb_relative_information_score: 162.8373, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8278, predictive_accuracy: 0.828, prior_entropy: 0.9934, recall: 0.828, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8333, usercpu_time_millis: 5.045, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 4.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.6767, kappa: 0.3525, kb_relative_information_score: 85.8332, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6811, predictive_accuracy: 0.676, prior_entropy: 0.9934, recall: 0.676, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1437, usercpu_time_millis: 1.415, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6657, kappa: 0.3253, kb_relative_information_score: 83.8068, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6723, predictive_accuracy: 0.672, prior_entropy: 0.9934, recall: 0.672, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1507, usercpu_time_millis: 0.853, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.6309, kappa: 0.2537, kb_relative_information_score: 63.5426, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6306, predictive_accuracy: 0.632, prior_entropy: 0.9934, recall: 0.632, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2189, usercpu_time_millis: 1.589, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.6714, kappa: 0.3358, kb_relative_information_score: 83.8068, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6712, predictive_accuracy: 0.672, prior_entropy: 0.9934, recall: 0.672, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1507, usercpu_time_millis: 0.453, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.5104, kappa: 0.0155, kb_relative_information_score: 8.8291, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5128, predictive_accuracy: 0.524, prior_entropy: 0.9934, recall: 0.524, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6899, root_relative_squared_error: 1.3863, usercpu_time_millis: 0.34, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6634, kappa: 0.3196, kb_relative_information_score: 79.754, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6631, predictive_accuracy: 0.664, prior_entropy: 0.9934, recall: 0.664, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1647, usercpu_time_millis: 24.431, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 24.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.6916, kappa: 0.3768, kb_relative_information_score: 93.9389, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6914, predictive_accuracy: 0.692, prior_entropy: 0.9934, recall: 0.692, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1151, usercpu_time_millis: 19.259, usercpu_time_millis_testing: 1.196, usercpu_time_millis_training: 18.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.8354, kappa: 0.6671, kb_relative_information_score: 166.8902, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8137, usercpu_time_millis: 0.357, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.867, kappa: 0.7308, kb_relative_information_score: 183.1016, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8708, predictive_accuracy: 0.868, prior_entropy: 0.9934, recall: 0.868, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.73, usercpu_time_millis: 195.568, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 195.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8425, kappa: 0.6814, kb_relative_information_score: 170.943, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8473, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7936, usercpu_time_millis: 21.493, usercpu_time_millis_testing: 2.681, usercpu_time_millis_training: 18.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8419, kappa: 0.6804, kb_relative_information_score: 170.943, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.85, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7936, usercpu_time_millis: 3.602, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 3.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8959, kappa: 0.7897, kb_relative_information_score: 197.2866, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9934, recall: 0.896, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.648, usercpu_time_millis: 380.353, usercpu_time_millis_testing: 11.113, usercpu_time_millis_training: 369.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.8428, kappa: 0.6819, kb_relative_information_score: 170.943, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8463, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7936, usercpu_time_millis: 5.324, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 4.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.504, kappa: 0.0092, kb_relative_information_score: 8.8291, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5097, predictive_accuracy: 0.524, prior_entropy: 0.9934, recall: 0.524, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6899, root_relative_squared_error: 1.3863, usercpu_time_millis: 0.471, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, f_measure: 0.6237, kappa: 0.2398, kb_relative_information_score: 59.4897, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6234, predictive_accuracy: 0.624, prior_entropy: 0.9934, recall: 0.624, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2321, usercpu_time_millis: 0.96, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.6508, kappa: 0.2937, kb_relative_information_score: 73.6747, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6506, predictive_accuracy: 0.652, prior_entropy: 0.9934, recall: 0.652, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1853, usercpu_time_millis: 0.229, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8358, kappa: 0.6682, kb_relative_information_score: 166.8902, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8358, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8137, usercpu_time_millis: 3.581, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 2.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.6393, kappa: 0.271, kb_relative_information_score: 67.5954, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.639, predictive_accuracy: 0.64, prior_entropy: 0.9934, recall: 0.64, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2056, usercpu_time_millis: 0.796, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5512, kappa: 0.1657, kb_relative_information_score: 53.4104, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6571, predictive_accuracy: 0.612, prior_entropy: 0.9934, recall: 0.612, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2516, usercpu_time_millis: 1.166, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7803, kappa: 0.5576, kb_relative_information_score: 138.5203, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7813, predictive_accuracy: 0.78, prior_entropy: 0.9934, recall: 0.78, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9424, usercpu_time_millis: 2.476, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 1.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.5007, kappa: 0.0017, kb_relative_information_score: 6.8027, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5055, predictive_accuracy: 0.52, prior_entropy: 0.9934, recall: 0.52, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3921, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.6287, kappa: 0.2531, kb_relative_information_score: 61.5161, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6304, predictive_accuracy: 0.628, prior_entropy: 0.9934, recall: 0.628, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2255, usercpu_time_millis: 4.769, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 4.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.6247, kappa: 0.2445, kb_relative_information_score: 59.4897, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.626, predictive_accuracy: 0.624, prior_entropy: 0.9934, recall: 0.624, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2321, usercpu_time_millis: 1.038, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.6286, kappa: 0.252, kb_relative_information_score: 61.5161, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6296, predictive_accuracy: 0.628, prior_entropy: 0.9934, recall: 0.628, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2255, usercpu_time_millis: 14.675, usercpu_time_millis_testing: 1.721, usercpu_time_millis_training: 12.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.6393, kappa: 0.271, kb_relative_information_score: 67.5954, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.639, predictive_accuracy: 0.64, prior_entropy: 0.9934, recall: 0.64, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2056, usercpu_time_millis: 0.529, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.6626, kappa: 0.3175, kb_relative_information_score: 79.754, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6626, predictive_accuracy: 0.664, prior_entropy: 0.9934, recall: 0.664, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1647, usercpu_time_millis: 1.078, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.6592, kappa: 0.311, kb_relative_information_score: 77.7275, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6589, predictive_accuracy: 0.66, prior_entropy: 0.9934, recall: 0.66, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1716, usercpu_time_millis: 1.185, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.6393, kappa: 0.271, kb_relative_information_score: 67.5954, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.639, predictive_accuracy: 0.64, prior_entropy: 0.9934, recall: 0.64, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2056, usercpu_time_millis: 0.731, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.6441, kappa: 0.2819, kb_relative_information_score: 69.6218, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6443, predictive_accuracy: 0.644, prior_entropy: 0.9934, recall: 0.644, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1989, usercpu_time_millis: 1.792, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 1.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.6435, kappa: 0.2797, kb_relative_information_score: 69.6218, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6433, predictive_accuracy: 0.644, prior_entropy: 0.9934, recall: 0.644, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1989, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.6309, kappa: 0.2537, kb_relative_information_score: 63.5426, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6306, predictive_accuracy: 0.632, prior_entropy: 0.9934, recall: 0.632, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2189, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, f_measure: 0.6439, kappa: 0.2808, kb_relative_information_score: 69.6218, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6437, predictive_accuracy: 0.644, prior_entropy: 0.9934, recall: 0.644, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1989, usercpu_time_millis: 0.139, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8235, kappa: 0.6431, kb_relative_information_score: 160.8109, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9934, recall: 0.824, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8429, usercpu_time_millis: 3.29, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 2.252,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.6604, kappa: 0.3155, kb_relative_information_score: 81.7804, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6691, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1577, usercpu_time_millis: 0.704, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.569,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.5811, kappa: 0.1524, kb_relative_information_score: 39.2255, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5808, predictive_accuracy: 0.584, prior_entropy: 0.9934, recall: 0.584, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.645, root_relative_squared_error: 1.2959, usercpu_time_millis: 2.786, usercpu_time_millis_testing: 1.077, usercpu_time_millis_training: 1.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8799, kappa: 0.7574, kb_relative_information_score: 189.1809, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9934, recall: 0.88, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.696, usercpu_time_millis: 3.261, usercpu_time_millis_testing: 1.234, usercpu_time_millis_training: 2.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.6616, kappa: 0.3154, kb_relative_information_score: 79.754, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6624, predictive_accuracy: 0.664, prior_entropy: 0.9934, recall: 0.664, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1647, usercpu_time_millis: 1.29, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.135,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8176, kappa: 0.6312, kb_relative_information_score: 158.7845, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8251, predictive_accuracy: 0.82, prior_entropy: 0.9934, recall: 0.82, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8525, usercpu_time_millis: 1.494, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7365, kappa: 0.4744, kb_relative_information_score: 116.2296, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7446, predictive_accuracy: 0.736, prior_entropy: 0.9934, recall: 0.736, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0324, usercpu_time_millis: 1.552, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.5084, kappa: 0.0068, kb_relative_information_score: 4.7763, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5081, predictive_accuracy: 0.516, prior_entropy: 0.9934, recall: 0.516, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6957, root_relative_squared_error: 1.3979, usercpu_time_millis: 0.392, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7837, kappa: 0.5636, kb_relative_information_score: 142.5731, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7962, predictive_accuracy: 0.788, prior_entropy: 0.9934, recall: 0.788, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9251, usercpu_time_millis: 14.526, usercpu_time_millis_testing: 1.184, usercpu_time_millis_training: 13.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7797, kappa: 0.5549, kb_relative_information_score: 138.5203, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7796, predictive_accuracy: 0.78, prior_entropy: 0.9934, recall: 0.78, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9424, usercpu_time_millis: 3.379, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 3.007,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.6923, kappa: 0.3797, kb_relative_information_score: 93.9389, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6928, predictive_accuracy: 0.692, prior_entropy: 0.9934, recall: 0.692, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1151, usercpu_time_millis: 1.596, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8395, kappa: 0.6755, kb_relative_information_score: 168.9166, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8037, usercpu_time_millis: 55.664, usercpu_time_millis_testing: 3.108, usercpu_time_millis_training: 52.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8878, kappa: 0.7732, kb_relative_information_score: 193.2337, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6724, usercpu_time_millis: 32.419, usercpu_time_millis_testing: 5.549, usercpu_time_millis_training: 26.87,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8344, kappa: 0.6651, kb_relative_information_score: 150.7263, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8391, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6769, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8344, kappa: 0.6651, kb_relative_information_score: 150.7263, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8391, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6769, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8281, kappa: 0.6531, kb_relative_information_score: 154.0237, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 0.9934, recall: 0.828, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7287, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8477, kappa: 0.6922, kb_relative_information_score: 78.6855, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.78, scimark_benchmark: 943.1009, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7998, kappa: 0.5957, kb_relative_information_score: 134.2184, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 0.9934, recall: 0.8, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8047, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8602, kappa: 0.7185, kb_relative_information_score: 148.0703, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8611, predictive_accuracy: 0.86, prior_entropy: 0.9934, recall: 0.86, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6402, scimark_benchmark: 901.6243, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8358, kappa: 0.6682, kb_relative_information_score: 149.9429, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8358, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7256, scimark_benchmark: 944.0133, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6665, kappa: 0.3264, kb_relative_information_score: 83.8068, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6718, predictive_accuracy: 0.672, prior_entropy: 0.9934, recall: 0.672, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1507, scimark_benchmark: 932.438, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8344, kappa: 0.6651, kb_relative_information_score: 149.8604, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8391, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.337, root_relative_squared_error: 0.677, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8344, kappa: 0.6651, kb_relative_information_score: 150.7263, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8391, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6769, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8344, kappa: 0.6651, kb_relative_information_score: 150.7263, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8391, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6769, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8344, kappa: 0.6651, kb_relative_information_score: 150.7263, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8391, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6769, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8801, kappa: 0.7581, kb_relative_information_score: 147.0819, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8803, predictive_accuracy: 0.88, prior_entropy: 0.9934, recall: 0.88, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6237, scimark_benchmark: 903.2737, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.6794, kappa: 0.352, kb_relative_information_score: 63.8449, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6792, predictive_accuracy: 0.68, prior_entropy: 0.9934, recall: 0.68, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9469, scimark_benchmark: 1051.249, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8344, kappa: 0.6651, kb_relative_information_score: 150.7263, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8391, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6769, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8477, kappa: 0.6922, kb_relative_information_score: 78.6855, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.78, scimark_benchmark: 936.3213, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.7641, kappa: 0.524, kb_relative_information_score: 66.4159, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7642, predictive_accuracy: 0.764, prior_entropy: 0.9934, recall: 0.764, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8254, scimark_benchmark: 926.5462, usercpu_time_millis: 6460, usercpu_time_millis_testing: 2410, usercpu_time_millis_training: 4050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7642, kappa: 0.5247, kb_relative_information_score: 64.6957, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7647, predictive_accuracy: 0.764, prior_entropy: 0.9934, recall: 0.764, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8336, scimark_benchmark: 939.8002, usercpu_time_millis: 3350, usercpu_time_millis_testing: 1270, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7223, kappa: 0.4381, kb_relative_information_score: 59.5845, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7234, predictive_accuracy: 0.724, prior_entropy: 0.9934, recall: 0.724, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8567, scimark_benchmark: 921.2615, usercpu_time_millis: 1530, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7394, kappa: 0.4731, kb_relative_information_score: 64.0869, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7394, predictive_accuracy: 0.74, prior_entropy: 0.9934, recall: 0.74, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8495, scimark_benchmark: 869.7667, usercpu_time_millis: 680, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.6759, kappa: 0.3455, kb_relative_information_score: 51.0967, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6758, predictive_accuracy: 0.676, prior_entropy: 0.9934, recall: 0.676, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9075, scimark_benchmark: 936.1714, usercpu_time_millis: 380, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8554, kappa: 0.7075, kb_relative_information_score: 172.7957, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8566, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.346, root_relative_squared_error: 0.6952, scimark_benchmark: 926.5859, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8477, kappa: 0.6922, kb_relative_information_score: 169.8426, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.6984, scimark_benchmark: 926.5859, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8477, kappa: 0.6922, kb_relative_information_score: 166.6772, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6917, scimark_benchmark: 894.7131, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8477, kappa: 0.6922, kb_relative_information_score: 166.6772, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6917, scimark_benchmark: 936.7184, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8557, kappa: 0.7084, kb_relative_information_score: 162.1945, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8559, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6658, scimark_benchmark: 926.5859, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8476, kappa: 0.6917, kb_relative_information_score: 153.2418, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6419, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.388, kb_relative_information_score: -0.0676, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8476, kappa: 0.6917, kb_relative_information_score: 172.6067, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.724, scimark_benchmark: 936.1714, usercpu_time_millis: 730, usercpu_time_millis_training: 730,

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