Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 41 Supervised Classification soybean 16132 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 under100k under1m
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16132 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9194, kappa: 0.9132, kb_relative_information_score: 610.9334, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9242, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, kappa: 0.8759, kb_relative_information_score: 553.9009, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8873, prior_entropy: 3.8572, recall: 0.8873, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.5082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, kappa: 0.8174, kb_relative_information_score: 456.2245, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8346, prior_entropy: 3.8572, recall: 0.8346, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.6638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.8887, kappa: 0.8889, kb_relative_information_score: 569.7524, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9102, predictive_accuracy: 0.899, prior_entropy: 3.8572, recall: 0.899, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, kappa: 0.844, kb_relative_information_score: 497.772, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.858, prior_entropy: 3.8572, recall: 0.858, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.6082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, kappa: 0.8401, kb_relative_information_score: 502.739, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8551, prior_entropy: 3.8572, recall: 0.8551, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.5851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.8809, kappa: 0.8807, kb_relative_information_score: 545.0003, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8925, predictive_accuracy: 0.8917, prior_entropy: 3.8572, recall: 0.8917, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.5144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, kappa: 0.8893, kb_relative_information_score: 622.1464, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.899, prior_entropy: 3.8572, recall: 0.899, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, kappa: 0.8942, kb_relative_information_score: 589.7333, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9034, prior_entropy: 3.8572, recall: 0.9034, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9253, kappa: 0.9181, kb_relative_information_score: 627.5893, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9293, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.3569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, kappa: 0.7535, kb_relative_information_score: 485.3344, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.776, prior_entropy: 3.8572, recall: 0.776, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.6513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9109, kappa: 0.9037, kb_relative_information_score: 587.5703, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9203, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.4218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, kappa: 0.8711, kb_relative_information_score: 541.3461, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8829, prior_entropy: 3.8572, recall: 0.8829, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.5332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, kappa: 0.8702, kb_relative_information_score: 583.423, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8814, prior_entropy: 3.8572, recall: 0.8814, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.4525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, kappa: 0.8515, kb_relative_information_score: 512.6314, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8653, prior_entropy: 3.8572, recall: 0.8653, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.5639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9193, kappa: 0.9148, kb_relative_information_score: 613.3921, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9288, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, kappa: 0.8653, kb_relative_information_score: 534.5994, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.877, prior_entropy: 3.8572, recall: 0.877, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.5437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, kappa: 0.8085, kb_relative_information_score: 362.485, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8272, prior_entropy: 3.8572, recall: 0.8272, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.7711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, kappa: 0.9054, kb_relative_information_score: 608.4757, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9136, prior_entropy: 3.8572, recall: 0.9136, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.931, kappa: 0.9246, kb_relative_information_score: 631.178, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9328, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.8978, kappa: 0.8938, kb_relative_information_score: 564.7584, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.914, predictive_accuracy: 0.9034, prior_entropy: 3.8572, recall: 0.9034, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1017, root_relative_squared_error: 0.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, kappa: 0.881, kb_relative_information_score: 559.567, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8917, prior_entropy: 3.8572, recall: 0.8917, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.4824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, kappa: 0.8564, kb_relative_information_score: 529.6259, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8697, prior_entropy: 3.8572, recall: 0.8697, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.5406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, kappa: 0.8304, kb_relative_information_score: 491.9254, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8463, prior_entropy: 3.8572, recall: 0.8463, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, kappa: 0.8384, kb_relative_information_score: 497.1636, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8536, prior_entropy: 3.8572, recall: 0.8536, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.13, root_relative_squared_error: 0.5933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, kappa: 0.9034, kb_relative_information_score: 612.123, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, kappa: 0.8792, kb_relative_information_score: 540.3933, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8902, prior_entropy: 3.8572, recall: 0.8902, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9348, kappa: 0.9293, kb_relative_information_score: 626.7766, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9392, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, kappa: 0.8925, kb_relative_information_score: 572.0804, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9216, kappa: 0.918, kb_relative_information_score: 618.9902, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9302, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, kappa: 0.8533, kb_relative_information_score: 486.6456, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8668, prior_entropy: 3.8572, recall: 0.8668, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.134, root_relative_squared_error: 0.6114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9285, kappa: 0.9229, kb_relative_information_score: 622.8034, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.933, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, kappa: 0.8873, kb_relative_information_score: 565.2255, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8963, kappa: 0.8875, kb_relative_information_score: 629.8782, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8965, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, kappa: 0.8486, kb_relative_information_score: 499.1392, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8624, prior_entropy: 3.8572, recall: 0.8624, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9216, kappa: 0.915, kb_relative_information_score: 607.7884, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.929, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9133, kappa: 0.9068, kb_relative_information_score: 593.5651, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9217, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, kappa: 0.827, kb_relative_information_score: 488.507, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8433, prior_entropy: 3.8572, recall: 0.8433, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.6062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, kappa: 0.8824, kb_relative_information_score: 538.7886, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8931, prior_entropy: 3.8572, recall: 0.8931, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, kappa: 0.8482, kb_relative_information_score: 507.0388, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8624, prior_entropy: 3.8572, recall: 0.8624, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.5759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, kappa: 0.8878, kb_relative_information_score: 597.6843, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9247, kappa: 0.9181, kb_relative_information_score: 631.3278, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.929, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.3384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9243, kappa: 0.9181, kb_relative_information_score: 613.158, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9313, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9351, kappa: 0.9293, kb_relative_information_score: 636.9141, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9368, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.3265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9297, kappa: 0.9244, kb_relative_information_score: 603.1489, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9385, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.3759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9108, kappa: 0.9037, kb_relative_information_score: 587.9706, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9199, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.4226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, kappa: 0.8759, kb_relative_information_score: 553.9009, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8873, prior_entropy: 3.8572, recall: 0.8873, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.5082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9113, kappa: 0.9067, kb_relative_information_score: 554.826, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9314, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9377, kappa: 0.9326, kb_relative_information_score: 607.2638, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9464, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, kappa: 0.8857, kb_relative_information_score: 545.119, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.896, prior_entropy: 3.8572, recall: 0.896, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, kappa: 0.8714, kb_relative_information_score: 538.6923, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8829, prior_entropy: 3.8572, recall: 0.8829, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.5283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9363, kappa: 0.931, kb_relative_information_score: 624.7066, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9401, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.3314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9355, kappa: 0.9294, kb_relative_information_score: 635.8752, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9375, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.3161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.924, kappa: 0.9181, kb_relative_information_score: 608.9722, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9327, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, kappa: 0.7625, kb_relative_information_score: 476.6421, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7848, prior_entropy: 3.8572, recall: 0.7848, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, kappa: 0.8872, kb_relative_information_score: 567.726, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.103, root_relative_squared_error: 0.4699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.882, kappa: 0.8824, kb_relative_information_score: 562.0096, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8953, predictive_accuracy: 0.8931, prior_entropy: 3.8572, recall: 0.8931, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.4767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9322, kappa: 0.9261, kb_relative_information_score: 633.5024, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9351, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.3211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, kappa: 0.8879, kb_relative_information_score: 602.0706, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, kappa: 0.8592, kb_relative_information_score: 599.9316, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8712, prior_entropy: 3.8572, recall: 0.8712, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, kappa: 0.8889, kb_relative_information_score: 551.7586, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.899, prior_entropy: 3.8572, recall: 0.899, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.5001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, kappa: 0.8857, kb_relative_information_score: 542.3099, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.896, prior_entropy: 3.8572, recall: 0.896, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9335, kappa: 0.9277, kb_relative_information_score: 634.8262, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.937, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, kappa: 0.8924, kb_relative_information_score: 574.9181, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.4502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9233, kappa: 0.918, kb_relative_information_score: 597.4509, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9336, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, kappa: 0.8794, kb_relative_information_score: 564.1364, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8902, prior_entropy: 3.8572, recall: 0.8902, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.8661, kappa: 0.8694, kb_relative_information_score: 537.1289, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8746, predictive_accuracy: 0.8814, prior_entropy: 3.8572, recall: 0.8814, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.5255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9103, kappa: 0.9067, kb_relative_information_score: 575.0863, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9295, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.4389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, kappa: 0.871, kb_relative_information_score: 517.2885, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8829, prior_entropy: 3.8572, recall: 0.8829, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.5519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, kappa: 0.8535, kb_relative_information_score: 510.7851, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8668, prior_entropy: 3.8572, recall: 0.8668, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.5744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9238, kappa: 0.918, kb_relative_information_score: 555.4083, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9389, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.4684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9218, kappa: 0.9164, kb_relative_information_score: 535.9721, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9394, predictive_accuracy: 0.9239, prior_entropy: 3.8572, recall: 0.9239, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.5074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, kappa: 0.7621, kb_relative_information_score: 388.7731, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7862, prior_entropy: 3.8572, recall: 0.7862, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.162, root_relative_squared_error: 0.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, kb_relative_information_score: 69.5872, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1684, prior_entropy: 3.8572, recall: 0.1684, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, kb_relative_information_score: 69.5872, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1684, prior_entropy: 3.8572, recall: 0.1684, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9369, kappa: 0.931, kb_relative_information_score: 640.99, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9384, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, kb_relative_information_score: 69.5872, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1684, prior_entropy: 3.8572, recall: 0.1684, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9364, kappa: 0.931, kb_relative_information_score: 640.9831, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9416, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.647, kappa: 0.2965, kb_relative_information_score: 202.6045, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.388, prior_entropy: 3.8572, recall: 0.388, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2538, root_relative_squared_error: 1.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, kb_relative_information_score: 69.5872, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1684, prior_entropy: 3.8572, recall: 0.1684, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9323, kappa: 0.9277, kb_relative_information_score: 636.7978, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9437, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9369, kappa: 0.931, kb_relative_information_score: 640.99, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9384, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8579, kappa: 0.8498, kb_relative_information_score: 579.0776, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.886, predictive_accuracy: 0.8638, prior_entropy: 3.8572, recall: 0.8638, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, kappa: 0.8644, kb_relative_information_score: 589.839, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.877, prior_entropy: 3.8572, recall: 0.877, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.5193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, kappa: 0.5927, kb_relative_information_score: 389.3443, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6398, prior_entropy: 3.8572, recall: 0.6398, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, kb_relative_information_score: 69.5872, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1684, prior_entropy: 3.8572, recall: 0.1684, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9369, kappa: 0.931, kb_relative_information_score: 641.4945, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9388, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, kappa: 0.2881, kb_relative_information_score: 198.5344, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3807, prior_entropy: 3.8572, recall: 0.3807, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2553, root_relative_squared_error: 1.1653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9339, kappa: 0.9293, kb_relative_information_score: 638.1217, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9428, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, kappa: 0.3794, kb_relative_information_score: 250.5184, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4583, prior_entropy: 3.8572, recall: 0.4583, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2388, root_relative_squared_error: 1.0899,

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