OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24107 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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24107 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8357, kappa: 0.8172, kb_relative_information_score: 1603.8806, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8369, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.7842, kappa: 0.7611, kb_relative_information_score: 1509.8948, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7866, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, kb_relative_information_score: 4.3947, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, kappa: 0.2817, kb_relative_information_score: 7.0845, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.3535, prior_entropy: 3.3219, recall: 0.3535, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8393, kappa: 0.8206, kb_relative_information_score: 41.6302, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.841, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, kappa: 0.4211, kb_relative_information_score: 57.836, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.479, prior_entropy: 3.3219, recall: 0.479, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.79, kappa: 0.7589, kb_relative_information_score: 1299.3785, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8113, predictive_accuracy: 0.783, prior_entropy: 3.3219, recall: 0.783, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8286, kappa: 0.81, kb_relative_information_score: 1580.698, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8295, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.5287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.5961, kappa: 0.5417, kb_relative_information_score: 630.6191, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6541, predictive_accuracy: 0.5875, prior_entropy: 3.3219, recall: 0.5875, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8274, kappa: 0.8089, kb_relative_information_score: 1650.0746, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8273, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.7997, kappa: 0.7778, kb_relative_information_score: 1488.0042, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8016, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, kappa: 0.0533, kb_relative_information_score: 54.672, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.148, prior_entropy: 3.3219, recall: 0.148, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.602, kappa: 0.565, kb_relative_information_score: 679.1037, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.715, predictive_accuracy: 0.6085, prior_entropy: 3.3219, recall: 0.6085, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8369, kappa: 0.8178, kb_relative_information_score: 32.3179, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8397, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.821, kappa: 0.8011, kb_relative_information_score: 1652.0206, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8216, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.2418, kappa: 0.1883, kb_relative_information_score: 393.5379, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3582, predictive_accuracy: 0.2695, prior_entropy: 3.3219, recall: 0.2695, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.9504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.7872, kappa: 0.7633, kb_relative_information_score: 1510.277, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7891, predictive_accuracy: 0.787, prior_entropy: 3.3219, recall: 0.787, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.7897, kappa: 0.7667, kb_relative_information_score: 1500.1948, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7917, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8291, kappa: 0.81, kb_relative_information_score: 1580.4797, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.7975, kappa: 0.7761, kb_relative_information_score: 1631.1675, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.797, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8454, kappa: 0.8289, kb_relative_information_score: 1682.482, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8453, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8142, kappa: 0.7939, kb_relative_information_score: 1603.8482, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.5306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7189, kappa: 0.6811, kb_relative_information_score: 1399.7352, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7652, predictive_accuracy: 0.713, prior_entropy: 3.3219, recall: 0.713, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0504, kappa: -0.0044, kb_relative_information_score: 8.9096, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.096, prior_entropy: 3.3219, recall: 0.096, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8029, kappa: 0.7817, kb_relative_information_score: 1519.6725, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8039, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8157, kappa: 0.7961, kb_relative_information_score: 1594.5549, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8142, kappa: 0.7939, kb_relative_information_score: 1551.7561, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8153, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8319, kappa: 0.8139, kb_relative_information_score: 1520.9457, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.5488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8369, kappa: 0.8183, kb_relative_information_score: 1626.7251, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8376, predictive_accuracy: 0.8365, prior_entropy: 3.3219, recall: 0.8365, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, kappa: 0.3211, kb_relative_information_score: 37.1177, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.389, prior_entropy: 3.3219, recall: 0.389, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8132, kappa: 0.7906, kb_relative_information_score: 1643.235, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8162, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.2131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8322, kappa: 0.8133, kb_relative_information_score: 1603.7093, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8332, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8026, kappa: 0.7806, kb_relative_information_score: 1562.0405, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.805, predictive_accuracy: 0.8025, prior_entropy: 3.3219, recall: 0.8025, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.5553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.514, kappa: 0.4517, kb_relative_information_score: 711.5949, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5643, predictive_accuracy: 0.5065, prior_entropy: 3.3219, recall: 0.5065, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.7907, kappa: 0.7672, kb_relative_information_score: 1547.1128, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7926, predictive_accuracy: 0.7905, prior_entropy: 3.3219, recall: 0.7905, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.5768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8296, kappa: 0.8106, kb_relative_information_score: 1558.6194, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.831, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.5326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.7126, kappa: 0.6744, kb_relative_information_score: 1334.9041, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7694, predictive_accuracy: 0.707, prior_entropy: 3.3219, recall: 0.707, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8247, kappa: 0.8067, kb_relative_information_score: 1462.9921, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8246, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, kappa: 0.16, kb_relative_information_score: 158.5543, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.244, prior_entropy: 3.3219, recall: 0.244, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.7902, kappa: 0.7667, kb_relative_information_score: 1510.6881, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7922, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.5156, kappa: 0.4894, kb_relative_information_score: 648.2085, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.569, predictive_accuracy: 0.5405, prior_entropy: 3.3219, recall: 0.5405, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.263, root_relative_squared_error: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.7758, kappa: 0.745, kb_relative_information_score: 1469.6105, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7865, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.8669, kappa: 0.8522, kb_relative_information_score: 1685.5055, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8672, predictive_accuracy: 0.867, prior_entropy: 3.3219, recall: 0.867, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8372, kappa: 0.82, kb_relative_information_score: 1565.8877, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8374, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.7992, kappa: 0.7778, kb_relative_information_score: 1531.3083, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8344, kappa: 0.8156, kb_relative_information_score: 58.2511, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8362, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8366, kappa: 0.8183, kb_relative_information_score: 1601.8888, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8379, predictive_accuracy: 0.8365, prior_entropy: 3.3219, recall: 0.8365, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.5163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8353, kappa: 0.8172, kb_relative_information_score: 1651.3873, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8356, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8314, kappa: 0.8122, kb_relative_information_score: 1603.3029, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8323, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.5199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8535, kappa: 0.8372, kb_relative_information_score: 1673.8344, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8543, predictive_accuracy: 0.8535, prior_entropy: 3.3219, recall: 0.8535, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.828, kappa: 0.8061, kb_relative_information_score: 1673.9233, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8317, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, kappa: 0.62, kb_relative_information_score: 168.8415, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.658, prior_entropy: 3.3219, recall: 0.658, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8404, kappa: 0.8228, kb_relative_information_score: 1656.7755, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8409, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8307, kappa: 0.8117, kb_relative_information_score: 1604.3376, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8315, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8529, kappa: 0.8367, kb_relative_information_score: 1666.8012, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8536, predictive_accuracy: 0.853, prior_entropy: 3.3219, recall: 0.853, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, kappa: 0.4683, kb_relative_information_score: 58.7359, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.5215, prior_entropy: 3.3219, recall: 0.5215, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8305, kappa: 0.8117, kb_relative_information_score: 1612.2961, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8311, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.155, root_relative_squared_error: 0.5166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8069, kappa: 0.785, kb_relative_information_score: 1575.626, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8091, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8333, kappa: 0.8156, kb_relative_information_score: 1602.366, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8334, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8439, kappa: 0.8272, kb_relative_information_score: 1677.6101, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8438, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.7753, kappa: 0.7561, kb_relative_information_score: 1507.7535, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7764, predictive_accuracy: 0.7805, prior_entropy: 3.3219, recall: 0.7805, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.173, root_relative_squared_error: 0.5765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8012, kappa: 0.7811, kb_relative_information_score: 12.0384, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8095, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8264, kappa: 0.8056, kb_relative_information_score: 1671.5864, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8288, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2223, kappa: 0.0022, kb_relative_information_score: 0.6644, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.102, prior_entropy: 3.3219, recall: 0.102, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.7889, kappa: 0.765, kb_relative_information_score: 37.8492, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7913, predictive_accuracy: 0.7885, prior_entropy: 3.3219, recall: 0.7885, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.5941, kappa: 0.545, kb_relative_information_score: 657.9021, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6047, predictive_accuracy: 0.5905, prior_entropy: 3.3219, recall: 0.5905, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8549, kappa: 0.8383, kb_relative_information_score: 1660.5947, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8558, predictive_accuracy: 0.8545, prior_entropy: 3.3219, recall: 0.8545, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kappa: 0.0006, kb_relative_information_score: 0.0014, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8054, kappa: 0.7833, kb_relative_information_score: 1558.2417, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8078, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8249, kappa: 0.8028, kb_relative_information_score: 1661.9849, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8289, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.169, root_relative_squared_error: 0.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8254, kappa: 0.8056, kb_relative_information_score: 1568.7771, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8278, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8181, kappa: 0.7989, kb_relative_information_score: 1451.7139, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8183, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8172, kappa: 0.7983, kb_relative_information_score: 1510.6415, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8176, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.8466, kappa: 0.8294, kb_relative_information_score: 1687.0966, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.847, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8415, kappa: 0.8239, kb_relative_information_score: 1641.2032, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.842, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8282, kappa: 0.81, kb_relative_information_score: 1588.385, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8283, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8149, kappa: 0.7906, kb_relative_information_score: 1641.2381, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8215, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7611, kappa: 0.7356, kb_relative_information_score: 1535.0183, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7613, predictive_accuracy: 0.762, prior_entropy: 3.3219, recall: 0.762, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8073, kappa: 0.7839, kb_relative_information_score: 1622.1954, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8444, kappa: 0.8267, kb_relative_information_score: 1628.4211, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8452, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, kb_relative_information_score: 12.2209, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.7916, kappa: 0.7672, kb_relative_information_score: 1565.6839, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7944, predictive_accuracy: 0.7905, prior_entropy: 3.3219, recall: 0.7905, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.5658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.5385, kappa: 0.5239, kb_relative_information_score: 470.3495, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6115, predictive_accuracy: 0.5715, prior_entropy: 3.3219, recall: 0.5715, relative_absolute_error: 0.9136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8064, kappa: 0.785, kb_relative_information_score: 1545.2592, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8081, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kb_relative_information_score: 15.8549, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.0143, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.7858, kappa: 0.7617, kb_relative_information_score: 1587.5127, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7867, predictive_accuracy: 0.7855, prior_entropy: 3.3219, recall: 0.7855, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.5759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8157, kappa: 0.7978, kb_relative_information_score: 1378.3601, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8159, predictive_accuracy: 0.818, prior_entropy: 3.3219, recall: 0.818, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.6083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.798, kappa: 0.7772, kb_relative_information_score: 1537.467, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.799, predictive_accuracy: 0.7995, prior_entropy: 3.3219, recall: 0.7995, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.7873, kappa: 0.7656, kb_relative_information_score: 1568.2454, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7871, predictive_accuracy: 0.789, prior_entropy: 3.3219, recall: 0.789, relative_absolute_error: 0.3223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8544, kappa: 0.8378, kb_relative_information_score: 1654.1352, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.855, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.7924, kappa: 0.7728, kb_relative_information_score: 1572.2852, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7975, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.7939, kappa: 0.7728, kb_relative_information_score: 1496.4479, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7943, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8403, kappa: 0.8222, kb_relative_information_score: 1630.1159, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8411, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8088, kappa: 0.7872, kb_relative_information_score: 1569.0099, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8111, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.5427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.7689, kappa: 0.7467, kb_relative_information_score: 1539.5556, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7677, predictive_accuracy: 0.772, prior_entropy: 3.3219, recall: 0.772, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.827, kappa: 0.8089, kb_relative_information_score: 1504.5519, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8268, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8374, kappa: 0.8189, kb_relative_information_score: 1616.8184, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8383, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.5115,

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