Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24098 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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24098 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.6121, kappa: 0.6033, kb_relative_information_score: 16.4476, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6406, predictive_accuracy: 0.643, prior_entropy: 3.3219, recall: 0.643, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.826, kappa: 0.8033, kb_relative_information_score: 1658.3874, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8166, kappa: 0.7928, kb_relative_information_score: 1633.4218, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8218, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.7868, kappa: 0.7567, kb_relative_information_score: 1469.7661, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8019, predictive_accuracy: 0.781, prior_entropy: 3.3219, recall: 0.781, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.7408, kappa: 0.7039, kb_relative_information_score: 1455.2296, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7849, predictive_accuracy: 0.7335, prior_entropy: 3.3219, recall: 0.7335, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6437,
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: 0.9754, f_measure: 0.8135, kappa: 0.7883, kb_relative_information_score: 1633.0389, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8191, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.7701, kappa: 0.735, kb_relative_information_score: 1506.2469, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.798, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8048, kappa: 0.7844, kb_relative_information_score: 12.0554, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8084, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8415, kappa: 0.8244, kb_relative_information_score: 54.8793, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8421, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8354, kappa: 0.8161, kb_relative_information_score: 38.6582, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8374, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8263, kappa: 0.8061, kb_relative_information_score: 55.7221, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8283, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.9926, 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: 0.956, f_measure: 0.5884, kappa: 0.5583, kb_relative_information_score: 1007.7037, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6916, predictive_accuracy: 0.6025, prior_entropy: 3.3219, recall: 0.6025, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.7523, kappa: 0.7167, kb_relative_information_score: 1465.37, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7883, predictive_accuracy: 0.745, prior_entropy: 3.3219, recall: 0.745, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.7932, kappa: 0.7639, kb_relative_information_score: 1489.8935, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.808, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.5991, kappa: 0.555, kb_relative_information_score: 714.3395, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6028, predictive_accuracy: 0.5995, prior_entropy: 3.3219, recall: 0.5995, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8327, kappa: 0.8133, kb_relative_information_score: 48.5088, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, 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: 0.8407, kappa: 0.8233, kb_relative_information_score: 49.0495, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8419, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8123, kappa: 0.7889, kb_relative_information_score: 1628.0401, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8161, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.8169, kappa: 0.7956, kb_relative_information_score: 56.1766, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8191, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.9925, 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: 0.9769, f_measure: 0.8184, kappa: 0.7956, kb_relative_information_score: 1650.7942, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8224, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.4573, kappa: 0.4589, kb_relative_information_score: 6.357, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5288, predictive_accuracy: 0.513, prior_entropy: 3.3219, recall: 0.513, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.826, kappa: 0.8072, kb_relative_information_score: 59.0859, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8263, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.5547, kappa: 0.5144, kb_relative_information_score: 704.8323, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5659, predictive_accuracy: 0.563, prior_entropy: 3.3219, recall: 0.563, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, kappa: 0.4339, kb_relative_information_score: 642.1685, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.4905, prior_entropy: 3.3219, recall: 0.4905, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.9041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.6657, kappa: 0.6394, kb_relative_information_score: 3.813, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6885, predictive_accuracy: 0.6755, prior_entropy: 3.3219, recall: 0.6755, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.5175, kappa: 0.4983, kb_relative_information_score: 589.294, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6599, predictive_accuracy: 0.5485, prior_entropy: 3.3219, recall: 0.5485, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.824, kappa: 0.8044, kb_relative_information_score: 17.2554, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.826, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.8129, kappa: 0.79, kb_relative_information_score: 1629.8596, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8161, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8393, kappa: 0.8211, kb_relative_information_score: 55.9993, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8407, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.9926, 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: 0.9629, f_measure: 0.7586, kappa: 0.7428, kb_relative_information_score: 6.7929, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7727, predictive_accuracy: 0.7685, prior_entropy: 3.3219, recall: 0.7685, 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: 0.9808, 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: 0.959, f_measure: 0.5907, kappa: 0.5483, kb_relative_information_score: 1217.3421, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7001, predictive_accuracy: 0.5935, prior_entropy: 3.3219, recall: 0.5935, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8208, kappa: 0.7967, kb_relative_information_score: 1642.5875, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8287, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.5539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8383, kappa: 0.8194, kb_relative_information_score: 36.359, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8406, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.9952, 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: 0.691, f_measure: 0.3239, kappa: 0.2617, kb_relative_information_score: 296.7132, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3451, predictive_accuracy: 0.3355, prior_entropy: 3.3219, recall: 0.3355, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8165, kappa: 0.7939, kb_relative_information_score: 1633.2204, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8195, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8326, kappa: 0.8133, kb_relative_information_score: 45.6359, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8344, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.7285, kappa: 0.6872, kb_relative_information_score: 1436.9799, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7737, predictive_accuracy: 0.7185, prior_entropy: 3.3219, recall: 0.7185, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.6365, kappa: 0.6128, kb_relative_information_score: 5.4768, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6635, predictive_accuracy: 0.6515, prior_entropy: 3.3219, recall: 0.6515, 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: 0.9566, f_measure: 0.5845, kappa: 0.5617, kb_relative_information_score: 1032.3747, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7034, predictive_accuracy: 0.6055, prior_entropy: 3.3219, recall: 0.6055, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.24, root_relative_squared_error: 0.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.5796, kappa: 0.5317, kb_relative_information_score: 1129.2085, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5896, predictive_accuracy: 0.5785, prior_entropy: 3.3219, recall: 0.5785, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.7526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8314, kappa: 0.8128, kb_relative_information_score: 56.4681, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8327, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.829, kappa: 0.8089, kb_relative_information_score: 19.7929, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8307, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.4968, kappa: 0.4739, kb_relative_information_score: 535.5429, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.633, predictive_accuracy: 0.5265, prior_entropy: 3.3219, recall: 0.5265, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8251, kappa: 0.8044, kb_relative_information_score: 23.3422, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8269, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.7412, kappa: 0.7061, kb_relative_information_score: 1463.6299, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.777, predictive_accuracy: 0.7355, prior_entropy: 3.3219, recall: 0.7355, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.6426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.7672, kappa: 0.7467, kb_relative_information_score: 6.6137, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7748, predictive_accuracy: 0.772, prior_entropy: 3.3219, recall: 0.772, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8261, kappa: 0.8061, kb_relative_information_score: 23.3043, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8276, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8412, kappa: 0.8228, kb_relative_information_score: 37.1643, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8431, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, 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: 0.9643, f_measure: 0.7122, kappa: 0.6761, kb_relative_information_score: 1346.8913, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7498, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8166, kappa: 0.7933, kb_relative_information_score: 1639.1905, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8224, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.7462, kappa: 0.7222, kb_relative_information_score: 42.6827, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7522, predictive_accuracy: 0.75, prior_entropy: 3.3219, recall: 0.75, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9944,
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: 0.9834, f_measure: 0.8357, kappa: 0.8178, kb_relative_information_score: 56.1319, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8369, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.9925, 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: 0.9847, 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: 0.9796, f_measure: 0.8308, kappa: 0.8106, kb_relative_information_score: 21.8791, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8328, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.5921, kappa: 0.5628, kb_relative_information_score: 1021.6861, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7104, predictive_accuracy: 0.6065, prior_entropy: 3.3219, recall: 0.6065, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8458, kappa: 0.8283, kb_relative_information_score: 46.6604, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8469, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.9938, 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: 0.9679, f_measure: 0.7997, kappa: 0.7778, kb_relative_information_score: 12.0405, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.809, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, 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: 0.9572, f_measure: 0.7209, kappa: 0.6794, kb_relative_information_score: 1299.8076, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7398, predictive_accuracy: 0.7115, prior_entropy: 3.3219, recall: 0.7115, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.6813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8413, kappa: 0.8228, kb_relative_information_score: 33.8371, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8432, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8054, kappa: 0.7783, kb_relative_information_score: 1622.1593, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8174, predictive_accuracy: 0.8005, prior_entropy: 3.3219, recall: 0.8005, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.7667, kappa: 0.7406, kb_relative_information_score: 7.9752, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7797, predictive_accuracy: 0.7665, prior_entropy: 3.3219, recall: 0.7665, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8416, kappa: 0.8239, kb_relative_information_score: 54.8348, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8429, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8454, kappa: 0.8278, kb_relative_information_score: 51.3804, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8466, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.6445, kappa: 0.6039, kb_relative_information_score: 1273.8914, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7113, predictive_accuracy: 0.6435, prior_entropy: 3.3219, recall: 0.6435, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.219, root_relative_squared_error: 0.7299,
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: 0.9537, f_measure: 0.5787, kappa: 0.545, kb_relative_information_score: 1045.4333, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7016, predictive_accuracy: 0.5905, prior_entropy: 3.3219, recall: 0.5905, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.799, kappa: 0.78, kb_relative_information_score: 12.7588, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8104, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8083, kappa: 0.7811, kb_relative_information_score: 1618.8601, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8208, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8267, kappa: 0.8078, kb_relative_information_score: 16.5057, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.8315, kappa: 0.8156, kb_relative_information_score: 18.7602, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8359, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.7686, kappa: 0.7344, kb_relative_information_score: 1497.0023, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7981, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8094, kappa: 0.785, kb_relative_information_score: 1628.4438, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8135, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.173, root_relative_squared_error: 0.5766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, kappa: 0.1078, kb_relative_information_score: 98.3559, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8092, kappa: 0.7839, kb_relative_information_score: 1633.6127, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8164, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8079, kappa: 0.7817, kb_relative_information_score: 1618.8852, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8178, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5794,
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: 0.9829, f_measure: 0.8451, kappa: 0.8278, kb_relative_information_score: 51.8028, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8468, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8448, kappa: 0.8267, kb_relative_information_score: 35.052, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8471, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.84, kappa: 0.8217, kb_relative_information_score: 45.6237, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8424, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.5428, kappa: 0.52, kb_relative_information_score: 603.2404, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.665, predictive_accuracy: 0.568, prior_entropy: 3.3219, recall: 0.568, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.408, kappa: 0.4244, kb_relative_information_score: 6.5117, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5053, predictive_accuracy: 0.482, prior_entropy: 3.3219, recall: 0.482, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.7998, kappa: 0.7711, kb_relative_information_score: 1607.1264, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8149, predictive_accuracy: 0.794, prior_entropy: 3.3219, recall: 0.794, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.7777, kappa: 0.7533, kb_relative_information_score: 20.8805, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.781, predictive_accuracy: 0.778, prior_entropy: 3.3219, recall: 0.778, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8378, kappa: 0.8189, kb_relative_information_score: 40.3568, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8397, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8165, kappa: 0.7917, kb_relative_information_score: 1642.6213, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.822, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.171, root_relative_squared_error: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.5753, kappa: 0.54, kb_relative_information_score: 1042.1411, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7034, predictive_accuracy: 0.586, prior_entropy: 3.3219, recall: 0.586, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.7942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8434, kappa: 0.8256, kb_relative_information_score: 45.1189, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.845, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9941,
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: 0.9761, f_measure: 0.7701, kappa: 0.7372, kb_relative_information_score: 1449.4377, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7862, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.4446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.6157, kappa: 0.5778, kb_relative_information_score: 1065.6355, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6958, predictive_accuracy: 0.62, prior_entropy: 3.3219, recall: 0.62, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8304, kappa: 0.8117, kb_relative_information_score: 21.4965, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8322, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.5563, kappa: 0.5261, kb_relative_information_score: 1046.945, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6812, predictive_accuracy: 0.5735, prior_entropy: 3.3219, recall: 0.5735, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.8031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8327, kappa: 0.8133, kb_relative_information_score: 39.8691, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8353, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8433, kappa: 0.8256, kb_relative_information_score: 43.9, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8454, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, 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: 0.9604, f_measure: 0.7538, kappa: 0.7233, kb_relative_information_score: 7.2096, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7692, predictive_accuracy: 0.751, prior_entropy: 3.3219, recall: 0.751, 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: 0.9739, f_measure: 0.7362, kappa: 0.6967, kb_relative_information_score: 1318.3196, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7699, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.6686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.6202, kappa: 0.5878, kb_relative_information_score: 1024.5723, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.709, predictive_accuracy: 0.629, prior_entropy: 3.3219, recall: 0.629, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.7922,

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