Task
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 20196 runs submitted
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  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 study_98 study_99 under100k under1m
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20196 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.6831, kappa: 0.5959, kb_relative_information_score: 0.6232, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6851, predictive_accuracy: 0.6861, prior_entropy: 2.2621, recall: 0.6861, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.4557, kappa: 0.3022, kb_relative_information_score: 169.7578, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5268, predictive_accuracy: 0.4783, prior_entropy: 2.2629, recall: 0.4783, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, kappa: 0.0608, kb_relative_information_score: 16.0209, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3315, prior_entropy: 2.2629, recall: 0.3315, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.3253, kappa: 0.1692, kb_relative_information_score: 86.3722, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5225, predictive_accuracy: 0.4008, prior_entropy: 2.2629, recall: 0.4008, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.5827, kappa: 0.4693, kb_relative_information_score: 0.5072, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5818, predictive_accuracy: 0.5842, prior_entropy: 2.2621, recall: 0.5842, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4078, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, kappa: 0.0487, kb_relative_information_score: 0.052, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3084, prior_entropy: 2.2621, recall: 0.3084, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.5658, kappa: 0.4555, kb_relative_information_score: 0.4472, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5852, predictive_accuracy: 0.5652, prior_entropy: 2.2621, recall: 0.5652, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.8224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, kappa: 0.0487, kb_relative_information_score: 0.052, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3084, prior_entropy: 2.2621, recall: 0.3084, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.4062, kappa: 0.2785, kb_relative_information_score: 0.2489, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4826, predictive_accuracy: 0.4171, prior_entropy: 2.2621, recall: 0.4171, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.5757, kappa: 0.4637, kb_relative_information_score: 0.4448, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5989, predictive_accuracy: 0.572, prior_entropy: 2.2621, recall: 0.572, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.8274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.5922, kappa: 0.4801, kb_relative_information_score: 0.5177, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5925, predictive_accuracy: 0.5924, prior_entropy: 2.2621, recall: 0.5924, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.6326, kappa: 0.5326, kb_relative_information_score: 0.4564, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6362, predictive_accuracy: 0.6386, prior_entropy: 2.2621, recall: 0.6386, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.6699, kappa: 0.5775, kb_relative_information_score: 0.5996, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.671, predictive_accuracy: 0.6712, prior_entropy: 2.2621, recall: 0.6712, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.6673, kappa: 0.5738, kb_relative_information_score: 0.578, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6689, predictive_accuracy: 0.6685, prior_entropy: 2.2621, recall: 0.6685, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.315, root_relative_squared_error: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.6619, kappa: 0.567, kb_relative_information_score: 0.5928, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6638, predictive_accuracy: 0.663, prior_entropy: 2.2621, recall: 0.663, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.7805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.6569, kappa: 0.5622, kb_relative_information_score: 0.5948, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.657, predictive_accuracy: 0.659, prior_entropy: 2.2621, recall: 0.659, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.6592, kappa: 0.5643, kb_relative_information_score: 0.5315, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6668, predictive_accuracy: 0.663, prior_entropy: 2.2621, recall: 0.663, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.6732, kappa: 0.5843, kb_relative_information_score: 0.5194, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.679, predictive_accuracy: 0.678, prior_entropy: 2.2621, recall: 0.678, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.7536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.6713, kappa: 0.579, kb_relative_information_score: 0.6078, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6735, predictive_accuracy: 0.6726, prior_entropy: 2.2621, recall: 0.6726, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.7535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.6757, kappa: 0.5862, kb_relative_information_score: 0.5571, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6826, predictive_accuracy: 0.6793, prior_entropy: 2.2621, recall: 0.6793, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.6791, kappa: 0.5903, kb_relative_information_score: 0.6087, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6788, predictive_accuracy: 0.6807, prior_entropy: 2.2621, recall: 0.6807, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.6749, kappa: 0.5851, kb_relative_information_score: 0.5887, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6772, predictive_accuracy: 0.678, prior_entropy: 2.2621, recall: 0.678, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.7514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.6681, kappa: 0.5759, kb_relative_information_score: 0.6079, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6683, predictive_accuracy: 0.6698, prior_entropy: 2.2621, recall: 0.6698, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.6727, kappa: 0.5819, kb_relative_information_score: 0.549, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6813, predictive_accuracy: 0.6766, prior_entropy: 2.2621, recall: 0.6766, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.7412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.6567, kappa: 0.5602, kb_relative_information_score: 0.6041, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6582, predictive_accuracy: 0.6576, prior_entropy: 2.2621, recall: 0.6576, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.7873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, kb_relative_information_score: 35.6319, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1766, prior_entropy: 2.2629, recall: 0.1766, relative_absolute_error: 1.0237, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4011, root_relative_squared_error: 1.0135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 34.9437, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1766, prior_entropy: 2.2629, recall: 0.1766, relative_absolute_error: 1.0233, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.401, root_relative_squared_error: 1.0135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3609, kappa: -0.0645, kb_relative_information_score: 7.3861, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1087, prior_entropy: 2.2629, recall: 0.1087, relative_absolute_error: 1.0571, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.0654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 35.0455, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1766, prior_entropy: 2.2629, recall: 0.1766, relative_absolute_error: 1.0235, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 35.8674, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1766, prior_entropy: 2.2629, recall: 0.1766, relative_absolute_error: 1.024, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4012, root_relative_squared_error: 1.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: 46.5139, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1427, prior_entropy: 2.2629, recall: 0.1427, relative_absolute_error: 1.0395, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: 0.0015, kb_relative_information_score: 34.3009, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1644, prior_entropy: 2.2629, recall: 0.1644, relative_absolute_error: 1.0239, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.401, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 36.7845, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1766, prior_entropy: 2.2629, recall: 0.1766, relative_absolute_error: 1.0237, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4012, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3338, kappa: 0.0005, kb_relative_information_score: 33.2458, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1766, prior_entropy: 2.2629, recall: 0.1766, relative_absolute_error: 1.0247, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.0143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 35.1887, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1766, prior_entropy: 2.2629, recall: 0.1766, relative_absolute_error: 1.0236, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.401, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3294, kappa: -0.1033, kb_relative_information_score: 1.5837, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.0883, prior_entropy: 2.2629, recall: 0.0883, relative_absolute_error: 1.0577, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.0577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 45.4057, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1766, prior_entropy: 2.2629, recall: 0.1766, relative_absolute_error: 1.0336, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4084, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 35.3284, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1766, prior_entropy: 2.2629, recall: 0.1766, relative_absolute_error: 1.0236, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4011, root_relative_squared_error: 1.0135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 36.2003, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1427, prior_entropy: 2.2629, recall: 0.1427, relative_absolute_error: 1.0262, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4022, root_relative_squared_error: 1.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3983, kb_relative_information_score: 32.6784, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1427, prior_entropy: 2.2629, recall: 0.1427, relative_absolute_error: 1.0228, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.0123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3149, kappa: -0.0024, kb_relative_information_score: 32.0674, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1685, prior_entropy: 2.2629, recall: 0.1685, relative_absolute_error: 1.026, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4019, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: 37.4696, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.1766, prior_entropy: 2.2629, recall: 0.1766, relative_absolute_error: 1.026, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4031, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.6404, kappa: 0.5428, kb_relative_information_score: 0.5772, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6405, predictive_accuracy: 0.6413, prior_entropy: 2.2621, recall: 0.6413, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6621, kappa: 0.5739, kb_relative_information_score: 0.5989, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6677, predictive_accuracy: 0.6712, prior_entropy: 2.2621, recall: 0.6712, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.6404, kappa: 0.5428, kb_relative_information_score: 0.5772, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6405, predictive_accuracy: 0.6413, prior_entropy: 2.2621, recall: 0.6413, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.6468, kappa: 0.5518, kb_relative_information_score: 313.9975, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6492, predictive_accuracy: 0.6522, prior_entropy: 2.2629, recall: 0.6522, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8104, scimark_benchmark: 930.1856,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.5715, kappa: 0.4514, kb_relative_information_score: 375.9798, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5731, predictive_accuracy: 0.5707, prior_entropy: 2.2629, recall: 0.5707, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.9558, scimark_benchmark: 923.0631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.6818, kappa: 0.5934, kb_relative_information_score: 450.5969, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6864, predictive_accuracy: 0.6848, prior_entropy: 2.2629, recall: 0.6848, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.7951, scimark_benchmark: 944.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.5925, kappa: 0.4717, kb_relative_information_score: 376.7284, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6265, predictive_accuracy: 0.5856, prior_entropy: 2.2629, recall: 0.5856, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9673, scimark_benchmark: 896.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.5156, kappa: 0.3773, kb_relative_information_score: 312.1376, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5232, predictive_accuracy: 0.5109, prior_entropy: 2.2629, recall: 0.5109, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.1136, scimark_benchmark: 895.8406,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.5322, kappa: 0.4029, kb_relative_information_score: 309.7802, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5511, predictive_accuracy: 0.5421, prior_entropy: 2.2629, recall: 0.5421, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.841, scimark_benchmark: 925.6482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.6608, kappa: 0.5657, kb_relative_information_score: 442.4417, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6616, predictive_accuracy: 0.6603, prior_entropy: 2.2629, recall: 0.6603, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9119, scimark_benchmark: 915.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.5902, kappa: 0.4754, kb_relative_information_score: 355.0856, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6151, predictive_accuracy: 0.5965, prior_entropy: 2.2629, recall: 0.5965, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.8129, scimark_benchmark: 938.0413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.4437, kappa: 0.2914, kb_relative_information_score: 198.0424, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4448, predictive_accuracy: 0.4552, prior_entropy: 2.2629, recall: 0.4552, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9915, scimark_benchmark: 941.4827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.6081, kappa: 0.5006, kb_relative_information_score: 345.9435, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6255, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.8129, scimark_benchmark: 906.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.6568, kappa: 0.561, kb_relative_information_score: 435.3971, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6585, predictive_accuracy: 0.659, prior_entropy: 2.2629, recall: 0.659, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9291, scimark_benchmark: 942.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.6748, kappa: 0.5833, kb_relative_information_score: 453.1869, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6761, predictive_accuracy: 0.6753, prior_entropy: 2.2629, recall: 0.6753, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.9055, scimark_benchmark: 945.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.5024, kappa: 0.3683, kb_relative_information_score: 311.4357, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5003, predictive_accuracy: 0.5054, prior_entropy: 2.2629, recall: 0.5054, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4324, root_relative_squared_error: 1.0927, scimark_benchmark: 942.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.6673, kappa: 0.5743, kb_relative_information_score: 452.0165, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.668, predictive_accuracy: 0.6671, prior_entropy: 2.2629, recall: 0.6671, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.8812, scimark_benchmark: 946.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.4615, kappa: 0.3167, kb_relative_information_score: 272.671, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4704, predictive_accuracy: 0.4769, prior_entropy: 2.2629, recall: 0.4769, relative_absolute_error: 0.7281, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9252, scimark_benchmark: 944.5242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.6601, kappa: 0.5655, kb_relative_information_score: 412.3659, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6635, predictive_accuracy: 0.663, prior_entropy: 2.2629, recall: 0.663, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.7512, scimark_benchmark: 936.0274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.644, kappa: 0.5426, kb_relative_information_score: 249.0621, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6569, predictive_accuracy: 0.6467, prior_entropy: 2.2629, recall: 0.6467, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.329, root_relative_squared_error: 0.8313, scimark_benchmark: 926.5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, f_measure: 0.2734, kappa: 0.1267, kb_relative_information_score: 79.5112, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.621, predictive_accuracy: 0.3764, prior_entropy: 2.2629, recall: 0.3764, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3993, root_relative_squared_error: 1.0089, scimark_benchmark: 941.8646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.6542, kappa: 0.5605, kb_relative_information_score: 403.9454, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.655, predictive_accuracy: 0.659, prior_entropy: 2.2629, recall: 0.659, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.7752, scimark_benchmark: 895.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.4423, kappa: 0.2901, kb_relative_information_score: 258.2808, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4408, predictive_accuracy: 0.4524, prior_entropy: 2.2629, recall: 0.4524, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9345, scimark_benchmark: 592.4927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.5996, kappa: 0.4871, kb_relative_information_score: 332.9391, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6152, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.325, root_relative_squared_error: 0.8213, scimark_benchmark: 588.9682,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.5946, kappa: 0.4804, kb_relative_information_score: 153.001, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6578, predictive_accuracy: 0.5951, prior_entropy: 2.2629, recall: 0.5951, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9143, scimark_benchmark: 946.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.6071, kappa: 0.4916, kb_relative_information_score: 359.748, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6422, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.8034, scimark_benchmark: 923.0525,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.4771, kappa: 0.3309, kb_relative_information_score: 280.3295, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4808, predictive_accuracy: 0.4742, prior_entropy: 2.2629, recall: 0.4742, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1483, scimark_benchmark: 942.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.3737, kappa: 0.2663, kb_relative_information_score: 146.1933, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3742, predictive_accuracy: 0.4633, prior_entropy: 2.2629, recall: 0.4633, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.378, root_relative_squared_error: 0.9552, scimark_benchmark: 946.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.6022, kappa: 0.4911, kb_relative_information_score: 390.9148, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6027, predictive_accuracy: 0.6019, prior_entropy: 2.2629, recall: 0.6019, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9387, scimark_benchmark: 926.1154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.3421, kappa: 0.2907, kb_relative_information_score: 228.187, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2678, predictive_accuracy: 0.4851, prior_entropy: 2.2629, recall: 0.4851, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8943, scimark_benchmark: 942.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.6022, kappa: 0.4911, kb_relative_information_score: 390.9148, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6027, predictive_accuracy: 0.6019, prior_entropy: 2.2629, recall: 0.6019, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9387, scimark_benchmark: 937.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.5502, kappa: 0.4267, kb_relative_information_score: 319.6221, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5622, predictive_accuracy: 0.5584, prior_entropy: 2.2629, recall: 0.5584, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.838, scimark_benchmark: 944.0557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.588, kappa: 0.472, kb_relative_information_score: 349.4185, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6083, predictive_accuracy: 0.5897, prior_entropy: 2.2629, recall: 0.5897, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.823, scimark_benchmark: 933.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.6468, kappa: 0.5518, kb_relative_information_score: 313.9975, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6492, predictive_accuracy: 0.6522, prior_entropy: 2.2629, recall: 0.6522, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8104, scimark_benchmark: 886.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.4504, kappa: 0.3024, kb_relative_information_score: 263.065, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4479, predictive_accuracy: 0.462, prior_entropy: 2.2629, recall: 0.462, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9364, scimark_benchmark: 942.6892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.634, kappa: 0.5337, kb_relative_information_score: 393.7361, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6389, predictive_accuracy: 0.6386, prior_entropy: 2.2629, recall: 0.6386, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.7689, scimark_benchmark: 911.0856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.6818, kappa: 0.5934, kb_relative_information_score: 450.5969, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6864, predictive_accuracy: 0.6848, prior_entropy: 2.2629, recall: 0.6848, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.7951, scimark_benchmark: 936.6534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5212, kappa: 0.3977, kb_relative_information_score: 344.1196, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5443, predictive_accuracy: 0.5313, prior_entropy: 2.2629, recall: 0.5313, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.9642, scimark_benchmark: 915.4288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.5773, kappa: 0.4557, kb_relative_information_score: 367.2529, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5843, predictive_accuracy: 0.5747, prior_entropy: 2.2629, recall: 0.5747, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4113, root_relative_squared_error: 1.0394, scimark_benchmark: 902.9776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.5877, kappa: 0.4655, kb_relative_information_score: 116.0299, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6211, predictive_accuracy: 0.5788, prior_entropy: 2.2629, recall: 0.5788, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.6694, kappa: 0.5778, kb_relative_information_score: 449.1974, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6703, predictive_accuracy: 0.6712, prior_entropy: 2.2629, recall: 0.6712, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9058, scimark_benchmark: 947.2563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.5897, kappa: 0.4724, kb_relative_information_score: 377.2386, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5942, predictive_accuracy: 0.5883, prior_entropy: 2.2629, recall: 0.5883, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4048, root_relative_squared_error: 1.023, scimark_benchmark: 931.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.6796, kappa: 0.5899, kb_relative_information_score: 441.9002, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6805, predictive_accuracy: 0.6807, prior_entropy: 2.2629, recall: 0.6807, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.7443, scimark_benchmark: 945.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5128, f_measure: 0.131, kb_relative_information_score: 64.7981, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.0845, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.0212, scimark_benchmark: 918.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.6291, kappa: 0.5338, kb_relative_information_score: 387.1415, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6663, predictive_accuracy: 0.6427, prior_entropy: 2.2629, recall: 0.6427, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.8118, scimark_benchmark: 859.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.4771, kappa: 0.3309, kb_relative_information_score: 280.3295, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4808, predictive_accuracy: 0.4742, prior_entropy: 2.2629, recall: 0.4742, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1483, scimark_benchmark: 595.3933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.5926, kappa: 0.4871, kb_relative_information_score: 76.5213, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5913, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.9663, scimark_benchmark: 600.1642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.6359, kappa: 0.5358, kb_relative_information_score: 237.8875, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6387, predictive_accuracy: 0.6359, prior_entropy: 2.2629, recall: 0.6359, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.8721, scimark_benchmark: 598.7488,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.5572, kappa: 0.4282, kb_relative_information_score: 351.7632, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6339, predictive_accuracy: 0.553, prior_entropy: 2.2629, recall: 0.553, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9446, scimark_benchmark: 861.1072,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.5156, kappa: 0.3773, kb_relative_information_score: 312.1376, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5232, predictive_accuracy: 0.5109, prior_entropy: 2.2629, recall: 0.5109, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.1136, scimark_benchmark: 937.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.6796, kappa: 0.59, kb_relative_information_score: 458.1269, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6805, predictive_accuracy: 0.6807, prior_entropy: 2.2629, recall: 0.6807, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.354, root_relative_squared_error: 0.8947, scimark_benchmark: 936.4962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.5156, kappa: 0.3773, kb_relative_information_score: 312.1376, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5232, predictive_accuracy: 0.5109, prior_entropy: 2.2629, recall: 0.5109, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.1136, scimark_benchmark: 922.7304,

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

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From your own software

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

OpenML APIs