OpenML
Supervised Classification on one-hundred-plants-shape

Supervised Classification on one-hundred-plants-shape

Task 9955 Supervised Classification one-hundred-plants-shape 13592 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7193, kappa: 0.7247, kb_relative_information_score: 1163.0485, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7325, predictive_accuracy: 0.7275, prior_entropy: 6.6439, recall: 0.7275, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, kappa: 0.3434, kb_relative_information_score: 557.7303, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.35, prior_entropy: 6.6439, recall: 0.35, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.114, root_relative_squared_error: 1.1459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7012, kappa: 0.7052, kb_relative_information_score: 1131.9808, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7167, predictive_accuracy: 0.7081, prior_entropy: 6.6439, recall: 0.7081, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.4672, kappa: 0.4798, kb_relative_information_score: 774.2017, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.497, predictive_accuracy: 0.485, prior_entropy: 6.6439, recall: 0.485, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1015, root_relative_squared_error: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, kappa: 0.2923, kb_relative_information_score: 476.5535, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2994, prior_entropy: 6.6439, recall: 0.2994, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1184, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, kappa: 0.2588, kb_relative_information_score: 423.4379, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2663, prior_entropy: 6.6439, recall: 0.2663, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1211, root_relative_squared_error: 1.2175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kappa: 0.0044, kb_relative_information_score: 19.5584, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0144, prior_entropy: 6.6439, recall: 0.0144, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, kappa: 0.3889, kb_relative_information_score: 629.8874, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.395, prior_entropy: 6.6439, recall: 0.395, relative_absolute_error: 0.6111, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.11, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, kappa: 0.1414, kb_relative_information_score: 237.0319, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.15, prior_entropy: 6.6439, recall: 0.15, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1304, root_relative_squared_error: 1.3104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kappa: -0.0025, kb_relative_information_score: 8.5343, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1409, root_relative_squared_error: 1.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.6793, kappa: 0.6824, kb_relative_information_score: 1095.9023, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6993, predictive_accuracy: 0.6856, prior_entropy: 6.6439, recall: 0.6856, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0032, kb_relative_information_score: 17.554, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0131, prior_entropy: 6.6439, recall: 0.0131, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kappa: -0.0013, kb_relative_information_score: 10.5387, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0088, prior_entropy: 6.6439, recall: 0.0088, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1408, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, kappa: 0.1547, kb_relative_information_score: 258.0778, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1631, prior_entropy: 6.6439, recall: 0.1631, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1294, root_relative_squared_error: 1.3003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kappa: -0.0063, kb_relative_information_score: 2.5213, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0038, prior_entropy: 6.6439, recall: 0.0038, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kappa: 0.0044, kb_relative_information_score: 19.5584, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0144, prior_entropy: 6.6439, recall: 0.0144, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7031, kappa: 0.7052, kb_relative_information_score: 1131.9808, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7187, predictive_accuracy: 0.7081, prior_entropy: 6.6439, recall: 0.7081, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, kappa: 0.1465, kb_relative_information_score: 245.0494, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.155, prior_entropy: 6.6439, recall: 0.155, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.3065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0032, kb_relative_information_score: 17.554, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0131, prior_entropy: 6.6439, recall: 0.0131, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, kappa: 0.1812, kb_relative_information_score: 300.1694, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1894, prior_entropy: 6.6439, recall: 0.1894, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1273, root_relative_squared_error: 1.2797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, kappa: 0.0183, kb_relative_information_score: 41.6064, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0281, prior_entropy: 6.6439, recall: 0.0281, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1394, root_relative_squared_error: 1.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.5077, kappa: 0.5271, kb_relative_information_score: 849.3654, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5309, predictive_accuracy: 0.5319, prior_entropy: 6.6439, recall: 0.5319, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, kappa: 0.1042, kb_relative_information_score: 177.9032, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1131, prior_entropy: 6.6439, recall: 0.1131, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1332, root_relative_squared_error: 1.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7099, kappa: 0.7128, kb_relative_information_score: 1144.007, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7243, predictive_accuracy: 0.7156, prior_entropy: 6.6439, recall: 0.7156, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, kappa: 0.4501, kb_relative_information_score: 727.0991, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4556, prior_entropy: 6.6439, recall: 0.4556, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1043, root_relative_squared_error: 1.0487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, kappa: 0.0082, kb_relative_information_score: 25.5714, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0181, prior_entropy: 6.6439, recall: 0.0181, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1401, root_relative_squared_error: 1.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7225, kappa: 0.7235, kb_relative_information_score: 1161.0441, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7316, predictive_accuracy: 0.7263, prior_entropy: 6.6439, recall: 0.7263, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7064, kappa: 0.7109, kb_relative_information_score: 1141.0005, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7222, predictive_accuracy: 0.7138, prior_entropy: 6.6439, recall: 0.7138, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.6841, kappa: 0.685, kb_relative_information_score: 1099.911, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7018, predictive_accuracy: 0.6881, prior_entropy: 6.6439, recall: 0.6881, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.079, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.69, kappa: 0.6919, kb_relative_information_score: 1110.935, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7067, predictive_accuracy: 0.695, prior_entropy: 6.6439, recall: 0.695, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, kappa: 0.0934, kb_relative_information_score: 160.8661, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1025, prior_entropy: 6.6439, recall: 0.1025, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.134, root_relative_squared_error: 1.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kappa: -0.0025, kb_relative_information_score: 8.5343, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1409, root_relative_squared_error: 1.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, kappa: 0.185, kb_relative_information_score: 306.1825, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1931, prior_entropy: 6.6439, recall: 0.1931, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.127, root_relative_squared_error: 1.2767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.5827, kappa: 0.5777, kb_relative_information_score: 929.54, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6177, predictive_accuracy: 0.5819, prior_entropy: 6.6439, recall: 0.5819, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, kappa: 0.315, kb_relative_information_score: 512.6321, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3219, prior_entropy: 6.6439, recall: 0.3219, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1165, root_relative_squared_error: 1.1704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kappa: 0.0044, kb_relative_information_score: 19.5584, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0144, prior_entropy: 6.6439, recall: 0.0144, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0032, kb_relative_information_score: 17.554, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0131, prior_entropy: 6.6439, recall: 0.0131, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.6684, kappa: 0.6723, kb_relative_information_score: 1079.8673, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6869, predictive_accuracy: 0.6756, prior_entropy: 6.6439, recall: 0.6756, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.8095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.6858, kappa: 0.6723, kb_relative_information_score: 1079.8673, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7174, predictive_accuracy: 0.6756, prior_entropy: 6.6439, recall: 0.6756, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.8095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7046, kappa: 0.7058, kb_relative_information_score: 1132.983, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7181, predictive_accuracy: 0.7088, prior_entropy: 6.6439, recall: 0.7088, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.7671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7196, kappa: 0.7222, kb_relative_information_score: 1159.0397, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7292, predictive_accuracy: 0.725, prior_entropy: 6.6439, recall: 0.725, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.7454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, kappa: 0.1503, kb_relative_information_score: 251.0625, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1588, prior_entropy: 6.6439, recall: 0.1588, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1297, root_relative_squared_error: 1.3036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.704, kappa: 0.7064, kb_relative_information_score: 1133.9852, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7181, predictive_accuracy: 0.7094, prior_entropy: 6.6439, recall: 0.7094, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.6546, kappa: 0.6572, kb_relative_information_score: 1055.815, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6794, predictive_accuracy: 0.6606, prior_entropy: 6.6439, recall: 0.6606, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7024, kappa: 0.6989, kb_relative_information_score: 1121.959, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7215, predictive_accuracy: 0.7019, prior_entropy: 6.6439, recall: 0.7019, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kappa: -0.0057, kb_relative_information_score: 3.5234, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0044, prior_entropy: 6.6439, recall: 0.0044, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1411, root_relative_squared_error: 1.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, kappa: 0.44, kb_relative_information_score: 711.0642, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4456, prior_entropy: 6.6439, recall: 0.4456, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1053, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, kappa: 0.5903, kb_relative_information_score: 949.5836, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5944, prior_entropy: 6.6439, recall: 0.5944, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, kappa: 0.286, kb_relative_information_score: 466.5317, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2931, prior_entropy: 6.6439, recall: 0.2931, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1189, root_relative_squared_error: 1.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7185, kappa: 0.7235, kb_relative_information_score: 1161.0441, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.733, predictive_accuracy: 0.7263, prior_entropy: 6.6439, recall: 0.7263, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0032, kb_relative_information_score: 17.554, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0131, prior_entropy: 6.6439, recall: 0.0131, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7219, kappa: 0.7266, kb_relative_information_score: 1166.055, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7356, predictive_accuracy: 0.7294, prior_entropy: 6.6439, recall: 0.7294, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, kappa: 0.1888, kb_relative_information_score: 312.1956, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1969, prior_entropy: 6.6439, recall: 0.1969, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1267, root_relative_squared_error: 1.2738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.493, kappa: 0.512, kb_relative_information_score: 825.313, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5204, predictive_accuracy: 0.5169, prior_entropy: 6.6439, recall: 0.5169, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 11.5409, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0094, prior_entropy: 6.6439, recall: 0.0094, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1408, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kappa: -0.0019, kb_relative_information_score: 9.5365, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0081, prior_entropy: 6.6439, recall: 0.0081, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1408, root_relative_squared_error: 1.4156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, kappa: 0.4703, kb_relative_information_score: 759.169, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4756, prior_entropy: 6.6439, recall: 0.4756, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1024, root_relative_squared_error: 1.0292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.655, kappa: 0.6218, kb_relative_information_score: 999.6927, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7157, predictive_accuracy: 0.6256, prior_entropy: 6.6439, recall: 0.6256, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7079, kappa: 0.7128, kb_relative_information_score: 1144.007, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7236, predictive_accuracy: 0.7156, prior_entropy: 6.6439, recall: 0.7156, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, kappa: 0.0322, kb_relative_information_score: 63.6544, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0419, prior_entropy: 6.6439, recall: 0.0419, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1384, root_relative_squared_error: 1.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, kappa: 0.1496, kb_relative_information_score: 250.0603, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1581, prior_entropy: 6.6439, recall: 0.1581, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1298, root_relative_squared_error: 1.3041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, kappa: 0.2311, kb_relative_information_score: 379.3418, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2388, prior_entropy: 6.6439, recall: 0.2388, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1234, root_relative_squared_error: 1.2401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, kappa: 0.1439, kb_relative_information_score: 241.0407, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1525, prior_entropy: 6.6439, recall: 0.1525, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1302, root_relative_squared_error: 1.3085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.6724, kappa: 0.6749, kb_relative_information_score: 1083.8761, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6886, predictive_accuracy: 0.6781, prior_entropy: 6.6439, recall: 0.6781, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.6799, kappa: 0.6824, kb_relative_information_score: 1095.9023, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6966, predictive_accuracy: 0.6856, prior_entropy: 6.6439, recall: 0.6856, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, kappa: 0.149, kb_relative_information_score: 249.0581, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1575, prior_entropy: 6.6439, recall: 0.1575, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1298, root_relative_squared_error: 1.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.6995, kappa: 0.702, kb_relative_information_score: 1126.9699, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7126, predictive_accuracy: 0.705, prior_entropy: 6.6439, recall: 0.705, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, kappa: 0.2039, kb_relative_information_score: 336.248, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2119, prior_entropy: 6.6439, recall: 0.2119, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1255, root_relative_squared_error: 1.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, kappa: 0.0909, kb_relative_information_score: 156.8573, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1, prior_entropy: 6.6439, recall: 0.1, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1342, root_relative_squared_error: 1.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7201, kappa: 0.7235, kb_relative_information_score: 1161.0441, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7337, predictive_accuracy: 0.7263, prior_entropy: 6.6439, recall: 0.7263, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, kappa: 0.3201, kb_relative_information_score: 520.6496, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3269, prior_entropy: 6.6439, recall: 0.3269, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.116, root_relative_squared_error: 1.1661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, kappa: 0.3074, kb_relative_information_score: 500.6059, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3144, prior_entropy: 6.6439, recall: 0.3144, relative_absolute_error: 0.6926, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1171, root_relative_squared_error: 1.1769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.6816, kappa: 0.6824, kb_relative_information_score: 1095.9023, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6986, predictive_accuracy: 0.6856, prior_entropy: 6.6439, recall: 0.6856, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, kappa: 0.161, kb_relative_information_score: 268.0996, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1694, prior_entropy: 6.6439, recall: 0.1694, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1289, root_relative_squared_error: 1.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, kappa: 0.3188, kb_relative_information_score: 518.6452, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3256, prior_entropy: 6.6439, recall: 0.3256, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1161, root_relative_squared_error: 1.1672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, kappa: 0.5347, kb_relative_information_score: 861.3916, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5394, prior_entropy: 6.6439, recall: 0.5394, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.096, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.554, kappa: 0.5663, kb_relative_information_score: 911.5007, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5856, predictive_accuracy: 0.5706, prior_entropy: 6.6439, recall: 0.5706, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.9314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7114, kappa: 0.7134, kb_relative_information_score: 1145.0092, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7267, predictive_accuracy: 0.7163, prior_entropy: 6.6439, recall: 0.7163, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.7571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.6656, kappa: 0.6667, kb_relative_information_score: 1070.8477, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6858, predictive_accuracy: 0.67, prior_entropy: 6.6439, recall: 0.67, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, kappa: 0.3895, kb_relative_information_score: 630.8896, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3956, prior_entropy: 6.6439, recall: 0.3956, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1099, root_relative_squared_error: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.6587, kappa: 0.6578, kb_relative_information_score: 1056.8171, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6804, predictive_accuracy: 0.6613, prior_entropy: 6.6439, recall: 0.6613, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7015, kappa: 0.7045, kb_relative_information_score: 1130.9786, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7147, predictive_accuracy: 0.7075, prior_entropy: 6.6439, recall: 0.7075, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7084, kappa: 0.7109, kb_relative_information_score: 1141.0005, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7248, predictive_accuracy: 0.7138, prior_entropy: 6.6439, recall: 0.7138, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, kappa: 0.4097, kb_relative_information_score: 662.9595, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4156, prior_entropy: 6.6439, recall: 0.4156, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1081, root_relative_squared_error: 1.0865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.6964, kappa: 0.6989, kb_relative_information_score: 1121.959, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7101, predictive_accuracy: 0.7019, prior_entropy: 6.6439, recall: 0.7019, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7031, kappa: 0.7039, kb_relative_information_score: 1129.9765, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7174, predictive_accuracy: 0.7069, prior_entropy: 6.6439, recall: 0.7069, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.7695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, kappa: 0.0379, kb_relative_information_score: 72.674, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0475, prior_entropy: 6.6439, recall: 0.0475, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.138, root_relative_squared_error: 1.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kappa: -0.0095, kb_relative_information_score: -2.4897, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0006, prior_entropy: 6.6439, recall: 0.0006, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.6683, kappa: 0.6705, kb_relative_information_score: 1076.8608, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6852, predictive_accuracy: 0.6738, prior_entropy: 6.6439, recall: 0.6738, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.8118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, kappa: 0.2412, kb_relative_information_score: 395.3768, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2488, prior_entropy: 6.6439, recall: 0.2488, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1226, root_relative_squared_error: 1.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, kappa: 0.1875, kb_relative_information_score: 310.1912, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1956, prior_entropy: 6.6439, recall: 0.1956, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1268, root_relative_squared_error: 1.2748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, kappa: 0.3699, kb_relative_information_score: 599.822, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3763, prior_entropy: 6.6439, recall: 0.3763, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1117, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.6526, kappa: 0.6187, kb_relative_information_score: 994.6818, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7153, predictive_accuracy: 0.6225, prior_entropy: 6.6439, recall: 0.6225, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.8733,

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