OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24077 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8257, kappa: 0.8083, kb_relative_information_score: 1479.5252, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8252, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8391, kappa: 0.8206, kb_relative_information_score: 1628.8449, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8473, kappa: 0.8294, kb_relative_information_score: 37.2785, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8493, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8302, kappa: 0.81, kb_relative_information_score: 27.5166, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, kappa: 0.0133, kb_relative_information_score: 6.5055, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.112, prior_entropy: 3.3219, recall: 0.112, relative_absolute_error: 0.9999, 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: 0.986, f_measure: 0.8647, kappa: 0.8494, kb_relative_information_score: 1678.357, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8652, predictive_accuracy: 0.8645, prior_entropy: 3.3219, recall: 0.8645, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.141, root_relative_squared_error: 0.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.7658, kappa: 0.7389, kb_relative_information_score: 1495.0099, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7703, predictive_accuracy: 0.765, prior_entropy: 3.3219, recall: 0.765, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8142, kappa: 0.795, kb_relative_information_score: 1444.5317, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8143, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.4506, 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: 0.9811, f_measure: 0.8359, kappa: 0.8172, kb_relative_information_score: 1624.2958, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8365, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.152, root_relative_squared_error: 0.5065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8389, kappa: 0.8206, kb_relative_information_score: 1622.4278, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8395, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.7917, kappa: 0.7689, kb_relative_information_score: 1502.3161, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7934, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8366, kappa: 0.8178, kb_relative_information_score: 1626.4603, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8377, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8433, kappa: 0.8261, kb_relative_information_score: 54.5456, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8443, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.7956, kappa: 0.775, kb_relative_information_score: 1540.2738, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7954, predictive_accuracy: 0.7975, prior_entropy: 3.3219, recall: 0.7975, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.5663, kappa: 0.5689, kb_relative_information_score: 685.6715, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6638, predictive_accuracy: 0.612, prior_entropy: 3.3219, recall: 0.612, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.2223, kappa: 0.1833, kb_relative_information_score: 317.1695, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.387, predictive_accuracy: 0.265, prior_entropy: 3.3219, recall: 0.265, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.291, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.7811, kappa: 0.7583, kb_relative_information_score: 1613.308, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7807, predictive_accuracy: 0.7825, prior_entropy: 3.3219, recall: 0.7825, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.5976, kappa: 0.6106, kb_relative_information_score: 263.2217, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7274, predictive_accuracy: 0.6495, prior_entropy: 3.3219, recall: 0.6495, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8114, kappa: 0.79, kb_relative_information_score: 1546.5195, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8132, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.792, kappa: 0.7628, kb_relative_information_score: 1585.5863, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8042, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8186, kappa: 0.7989, kb_relative_information_score: 1603.8862, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8193, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, kappa: 0.0878, kb_relative_information_score: 0.4225, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.179, prior_entropy: 3.3219, recall: 0.179, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.7814, kappa: 0.7594, kb_relative_information_score: 1537.4902, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.782, predictive_accuracy: 0.7835, prior_entropy: 3.3219, recall: 0.7835, relative_absolute_error: 0.3548, 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: 0.4935, kb_relative_information_score: 0.0369, 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: 0.9788, f_measure: 0.8192, kappa: 0.7967, kb_relative_information_score: 1651.0272, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8226, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8125, kappa: 0.7911, kb_relative_information_score: 1558.417, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0746, kappa: -0.1072, kb_relative_information_score: -0.1988, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0035, prior_entropy: 3.3219, recall: 0.0035, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8197, kappa: 0.8011, kb_relative_information_score: 1508.9107, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8202, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.7737, kappa: 0.7528, kb_relative_information_score: 1567.7473, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7782, predictive_accuracy: 0.7775, prior_entropy: 3.3219, recall: 0.7775, relative_absolute_error: 0.3351, 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: 0.9811, f_measure: 0.819, kappa: 0.8, kb_relative_information_score: 1591.3658, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8187, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8292, kappa: 0.8111, kb_relative_information_score: 1528.4608, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.5448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.7829, kappa: 0.7583, kb_relative_information_score: 1555.2222, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7844, predictive_accuracy: 0.7825, prior_entropy: 3.3219, recall: 0.7825, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7921, kappa: 0.7706, kb_relative_information_score: 1510.7286, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7923, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.854, kappa: 0.8378, kb_relative_information_score: 1692.1166, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8546, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8397, kappa: 0.8222, kb_relative_information_score: 28.7493, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8432, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.6904, kappa: 0.6628, kb_relative_information_score: 1145.7533, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7235, predictive_accuracy: 0.6965, prior_entropy: 3.3219, recall: 0.6965, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.7335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8409, kappa: 0.8233, kb_relative_information_score: 1641.7227, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8413, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.1512, 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: 0.9763, f_measure: 0.8158, kappa: 0.7928, kb_relative_information_score: 1630.0077, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8196, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8032, kappa: 0.7817, kb_relative_information_score: 1497.9382, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8048, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, kappa: 0.3194, kb_relative_information_score: 5.6978, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.3875, prior_entropy: 3.3219, recall: 0.3875, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8334, kappa: 0.8144, kb_relative_information_score: 1625.4254, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.834, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8209, kappa: 0.8022, kb_relative_information_score: 1527.6697, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8211, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.7935, kappa: 0.7739, kb_relative_information_score: 9.7829, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.799, predictive_accuracy: 0.7965, prior_entropy: 3.3219, recall: 0.7965, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.813, kappa: 0.7906, kb_relative_information_score: 1617.2088, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.815, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.6186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8217, kappa: 0.8028, kb_relative_information_score: 1638.925, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8214, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.7919, kappa: 0.7683, kb_relative_information_score: 1577.8605, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.793, predictive_accuracy: 0.7915, prior_entropy: 3.3219, recall: 0.7915, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8192, kappa: 0.8, kb_relative_information_score: 1468.9814, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8197, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.7927, kappa: 0.77, kb_relative_information_score: 1485.1671, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7946, predictive_accuracy: 0.793, prior_entropy: 3.3219, recall: 0.793, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.7077, kappa: 0.7061, kb_relative_information_score: 924.955, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7585, predictive_accuracy: 0.7355, prior_entropy: 3.3219, recall: 0.7355, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.7662, kappa: 0.7478, kb_relative_information_score: 1548.7133, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7695, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.3502, 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: 0.9863, f_measure: 0.8651, kappa: 0.85, kb_relative_information_score: 1679.5839, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8656, predictive_accuracy: 0.865, prior_entropy: 3.3219, recall: 0.865, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8566, kappa: 0.8406, kb_relative_information_score: 1672.8871, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8575, predictive_accuracy: 0.8565, prior_entropy: 3.3219, recall: 0.8565, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.8532, kappa: 0.8372, kb_relative_information_score: 1728.5067, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8535, predictive_accuracy: 0.8535, prior_entropy: 3.3219, recall: 0.8535, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0711, kb_relative_information_score: 6.1512, 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: 0.9825, f_measure: 0.8307, kappa: 0.8122, kb_relative_information_score: 1621.0436, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8312, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8302, kappa: 0.8111, kb_relative_information_score: 1601.8651, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8442, kappa: 0.8267, kb_relative_information_score: 1673.7237, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8448, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, kappa: 0.1011, kb_relative_information_score: 7.7448, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, recall: 0.191, 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: 0.9835, f_measure: 0.8415, kappa: 0.8239, kb_relative_information_score: 1604.5972, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8421, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.7998, 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: 0.9781, f_measure: 0.8029, kappa: 0.7817, kb_relative_information_score: 1631.6514, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.793, kappa: 0.7689, kb_relative_information_score: 1572.3938, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7956, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.3096, 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: 0.9702, f_measure: 0.7774, kappa: 0.7522, kb_relative_information_score: 1504.9434, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7805, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8453, kappa: 0.8278, kb_relative_information_score: 1669.6352, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.846, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.7768, kappa: 0.7572, kb_relative_information_score: 1563.6661, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7757, predictive_accuracy: 0.7815, prior_entropy: 3.3219, recall: 0.7815, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.5512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8363, kappa: 0.8189, kb_relative_information_score: 1668.0036, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8363, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8476, kappa: 0.83, kb_relative_information_score: 1641.1924, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8488, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8358, kappa: 0.8189, kb_relative_information_score: 1510.578, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.836, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, kappa: 0.7306, kb_relative_information_score: 1064.8693, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.7575, prior_entropy: 3.3219, recall: 0.7575, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.7844, kappa: 0.7644, kb_relative_information_score: 1601.1017, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.787, predictive_accuracy: 0.788, prior_entropy: 3.3219, recall: 0.788, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.5372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, kappa: 0.2822, kb_relative_information_score: 86.277, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.354, prior_entropy: 3.3219, recall: 0.354, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.1508, 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: 0.9826, f_measure: 0.8459, kappa: 0.8289, kb_relative_information_score: 1648.7368, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8464, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8275, kappa: 0.8083, kb_relative_information_score: 46.3144, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8299, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.7501, kappa: 0.7161, kb_relative_information_score: 1452.8883, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7628, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.6173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.838, kappa: 0.8206, kb_relative_information_score: 1568.4618, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8386, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8203, kappa: 0.8011, kb_relative_information_score: 1560.3415, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8189, kappa: 0.7989, kb_relative_information_score: 1597.8087, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8203, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.5279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, kappa: 0.6139, kb_relative_information_score: 300.3819, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.6525, prior_entropy: 3.3219, recall: 0.6525, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8617, kappa: 0.8461, kb_relative_information_score: 1674.4108, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8624, predictive_accuracy: 0.8615, prior_entropy: 3.3219, recall: 0.8615, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.7897, kappa: 0.7683, kb_relative_information_score: 1545.2382, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7898, predictive_accuracy: 0.7915, prior_entropy: 3.3219, recall: 0.7915, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.5586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8397, kappa: 0.8217, kb_relative_information_score: 44.2711, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8265, kappa: 0.805, kb_relative_information_score: 1658.6511, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8068, kappa: 0.7861, kb_relative_information_score: 1484.3589, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8083, predictive_accuracy: 0.8075, prior_entropy: 3.3219, recall: 0.8075, relative_absolute_error: 0.4036, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8314, kappa: 0.8133, kb_relative_information_score: 1665.3961, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8316, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.3047, kappa: 0.2589, kb_relative_information_score: 379.7932, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3263, predictive_accuracy: 0.333, prior_entropy: 3.3219, recall: 0.333, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0499, kb_relative_information_score: 14.7559, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, kappa: 0.1094, kb_relative_information_score: 1.989, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.9998, 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: 0.9838, f_measure: 0.8411, kappa: 0.8233, kb_relative_information_score: 54.0839, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8424, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8289, kappa: 0.8106, kb_relative_information_score: 1651.6803, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8291, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.2813, 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: 0.9768, f_measure: 0.8161, kappa: 0.7939, kb_relative_information_score: 1648.7463, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8189, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.5728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7489, kappa: 0.7206, kb_relative_information_score: 1473.984, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7495, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.837, kappa: 0.8194, kb_relative_information_score: 1569.996, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8371, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.3577, 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: 0.9852, f_measure: 0.8545, kappa: 0.8389, kb_relative_information_score: 1696.3855, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8545, predictive_accuracy: 0.855, prior_entropy: 3.3219, recall: 0.855, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8334, kappa: 0.815, kb_relative_information_score: 1604.1018, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8347, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.3264, 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: 0.9838, f_measure: 0.8467, kappa: 0.8289, kb_relative_information_score: 48.782, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8486, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8222, kappa: 0.8033, kb_relative_information_score: 1521.4191, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8227, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.834, kappa: 0.8156, kb_relative_information_score: 1603.8646, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8346, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.5199,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs