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: 0.5732, 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: 0.8292, f_measure: 0.6591, kappa: 0.6585, kb_relative_information_score: 1057.8193, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6792, predictive_accuracy: 0.6619, prior_entropy: 6.6439, recall: 0.6619, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, kappa: 0.101, kb_relative_information_score: 172.8923, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.11, prior_entropy: 6.6439, recall: 0.11, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1334, root_relative_squared_error: 1.3409,
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: 0.8564, 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: 0.8052, f_measure: 0.6499, kappa: 0.6105, kb_relative_information_score: 981.6535, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7218, predictive_accuracy: 0.6144, prior_entropy: 6.6439, recall: 0.6144, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7117, kappa: 0.7146, kb_relative_information_score: 1147.0136, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7272, predictive_accuracy: 0.7175, prior_entropy: 6.6439, recall: 0.7175, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7555,
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: 0.7289, kappa: 0.4577, kb_relative_information_score: 739.1253, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4631, prior_entropy: 6.6439, recall: 0.4631, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1036, root_relative_squared_error: 1.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kappa: 0.0025, kb_relative_information_score: 16.5518, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, kappa: 0.1458, kb_relative_information_score: 244.0472, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1544, prior_entropy: 6.6439, recall: 0.1544, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7028, 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: 0.7187, 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: 0.4997, 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: 0.5625, kappa: 0.125, kb_relative_information_score: 210.9752, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1338, prior_entropy: 6.6439, recall: 0.1338, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1316, root_relative_squared_error: 1.3229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, kappa: 0.1749, kb_relative_information_score: 290.1476, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1831, prior_entropy: 6.6439, recall: 0.1831, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1278, root_relative_squared_error: 1.2846,
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: 0.7311, kappa: 0.4621, kb_relative_information_score: 746.1406, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4675, prior_entropy: 6.6439, recall: 0.4675, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1032, root_relative_squared_error: 1.0372,
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: 0.5009, kappa: 0.0019, kb_relative_information_score: 15.5496, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.6524, kappa: 0.6553, kb_relative_information_score: 1052.8084, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6786, predictive_accuracy: 0.6588, prior_entropy: 6.6439, recall: 0.6588, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0019, kb_relative_information_score: 15.5496, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, kappa: 0.4804, kb_relative_information_score: 775.2039, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4856, prior_entropy: 6.6439, recall: 0.4856, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1014, root_relative_squared_error: 1.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, kappa: 0.2077, kb_relative_information_score: 342.2611, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2156, prior_entropy: 6.6439, recall: 0.2156, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1252, root_relative_squared_error: 1.2588,
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: 0.8633, f_measure: 0.7212, 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: 0.7341, 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: 0.8605, f_measure: 0.7189, kappa: 0.721, kb_relative_information_score: 1157.0354, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7294, predictive_accuracy: 0.7238, prior_entropy: 6.6439, recall: 0.7238, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, kappa: 0.1187, kb_relative_information_score: 200.9534, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1275, prior_entropy: 6.6439, recall: 0.1275, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1321, root_relative_squared_error: 1.3276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7094, 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: 0.7249, 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: 0.5638, kappa: 0.1275, kb_relative_information_score: 214.9839, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1363, prior_entropy: 6.6439, recall: 0.1363, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1314, root_relative_squared_error: 1.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7023, kappa: 0.6995, kb_relative_information_score: 1122.9612, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7202, predictive_accuracy: 0.7025, prior_entropy: 6.6439, recall: 0.7025, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.7752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.722, 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: 0.7344, 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: 0.5603, kappa: 0.1206, kb_relative_information_score: 203.9599, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1294, prior_entropy: 6.6439, recall: 0.1294, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.132, root_relative_squared_error: 1.3262,
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: 0.6386, kappa: 0.2771, kb_relative_information_score: 452.5011, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2844, prior_entropy: 6.6439, recall: 0.2844, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1196, root_relative_squared_error: 1.2024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.6639, kappa: 0.6686, kb_relative_information_score: 1073.8542, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6783, predictive_accuracy: 0.6719, prior_entropy: 6.6439, recall: 0.6719, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.081, root_relative_squared_error: 0.8142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kappa: -0.0076, kb_relative_information_score: 0.5169, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4196,
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: 0.8564, 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: 0.5871, f_measure: 0.2099, kappa: 0.1742, kb_relative_information_score: 289.1454, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3384, predictive_accuracy: 0.1825, prior_entropy: 6.6439, recall: 0.1825, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1279, root_relative_squared_error: 1.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, kappa: 0.2405, kb_relative_information_score: 394.3746, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2481, prior_entropy: 6.6439, recall: 0.2481, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1226, root_relative_squared_error: 1.2325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7217, kappa: 0.7254, kb_relative_information_score: 1164.0507, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7359, predictive_accuracy: 0.7281, prior_entropy: 6.6439, recall: 0.7281, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.7411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.689, kappa: 0.6774, kb_relative_information_score: 1087.8848, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7178, predictive_accuracy: 0.6806, prior_entropy: 6.6439, recall: 0.6806, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, kappa: 0.0436, kb_relative_information_score: 81.6937, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0531, prior_entropy: 6.6439, recall: 0.0531, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1376, root_relative_squared_error: 1.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, kappa: 0.1534, kb_relative_information_score: 256.0734, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1619, prior_entropy: 6.6439, recall: 0.1619, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1295, root_relative_squared_error: 1.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, kappa: -0.0082, kb_relative_information_score: -0.4853, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0019, prior_entropy: 6.6439, recall: 0.0019, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1413, root_relative_squared_error: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, kappa: 0.4015, kb_relative_information_score: 649.9311, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4075, prior_entropy: 6.6439, recall: 0.4075, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1089, root_relative_squared_error: 1.0941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7018, 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: 0.7188, 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: 0.8235, f_measure: 0.644, kappa: 0.6471, kb_relative_information_score: 1039.78, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6707, predictive_accuracy: 0.6506, prior_entropy: 6.6439, recall: 0.6506, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7086, kappa: 0.7115, kb_relative_information_score: 1142.0026, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7241, predictive_accuracy: 0.7144, prior_entropy: 6.6439, recall: 0.7144, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, kappa: 0.2759, kb_relative_information_score: 450.4968, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2831, prior_entropy: 6.6439, recall: 0.2831, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1197, root_relative_squared_error: 1.2034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7085, 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: 0.7238, 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: 0.7143, kappa: 0.4287, kb_relative_information_score: 693.0249, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4344, prior_entropy: 6.6439, recall: 0.4344, relative_absolute_error: 0.5713, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1064, root_relative_squared_error: 1.069,
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: 0.7689, f_measure: 0.5463, kappa: 0.5379, kb_relative_information_score: 866.4025, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5842, predictive_accuracy: 0.5425, prior_entropy: 6.6439, recall: 0.5425, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.6995, kappa: 0.7014, kb_relative_information_score: 1125.9677, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7144, predictive_accuracy: 0.7044, prior_entropy: 6.6439, recall: 0.7044, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.7728,
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: 0.8346, f_measure: 0.67, kappa: 0.6692, kb_relative_information_score: 1074.8564, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6873, predictive_accuracy: 0.6725, prior_entropy: 6.6439, recall: 0.6725, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kappa: 0.0025, kb_relative_information_score: 16.5518, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0019, kb_relative_information_score: 15.5496, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4129,
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: 0.7696, f_measure: 0.5259, kappa: 0.5391, kb_relative_information_score: 868.4068, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5586, predictive_accuracy: 0.5438, prior_entropy: 6.6439, recall: 0.5438, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, kappa: 0.5581, kb_relative_information_score: 898.4723, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5625, prior_entropy: 6.6439, recall: 0.5625, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, kappa: 0.1869, kb_relative_information_score: 309.1891, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.195, prior_entropy: 6.6439, recall: 0.195, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1269, root_relative_squared_error: 1.2753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.6619, kappa: 0.6635, kb_relative_information_score: 1065.8368, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6833, predictive_accuracy: 0.6669, prior_entropy: 6.6439, recall: 0.6669, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.8204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, kappa: 0.4716, kb_relative_information_score: 761.1733, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4769, prior_entropy: 6.6439, recall: 0.4769, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1023, root_relative_squared_error: 1.028,
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: 0.8535, f_measure: 0.7053, kappa: 0.7071, kb_relative_information_score: 1134.9874, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7236, predictive_accuracy: 0.71, prior_entropy: 6.6439, recall: 0.71, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7169, kappa: 0.721, kb_relative_information_score: 1157.0354, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7279, predictive_accuracy: 0.7238, prior_entropy: 6.6439, recall: 0.7238, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.6287, kappa: 0.6244, kb_relative_information_score: 1003.7015, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6587, predictive_accuracy: 0.6281, prior_entropy: 6.6439, recall: 0.6281, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.6928, kappa: 0.6957, kb_relative_information_score: 1116.9481, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7049, predictive_accuracy: 0.6988, prior_entropy: 6.6439, recall: 0.6988, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0019, kb_relative_information_score: 15.5496, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.6926, kappa: 0.6951, kb_relative_information_score: 1115.9459, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7101, predictive_accuracy: 0.6981, prior_entropy: 6.6439, recall: 0.6981, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, kappa: 0.3441, kb_relative_information_score: 558.7325, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3506, prior_entropy: 6.6439, recall: 0.3506, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.114, root_relative_squared_error: 1.1454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.6599, kappa: 0.6604, kb_relative_information_score: 1060.8259, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6767, predictive_accuracy: 0.6638, prior_entropy: 6.6439, recall: 0.6638, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.082, root_relative_squared_error: 0.8242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, kappa: 0.0442, kb_relative_information_score: 82.6958, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0538, prior_entropy: 6.6439, recall: 0.0538, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1376, root_relative_squared_error: 1.3826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, kappa: 0.2064, kb_relative_information_score: 340.2567, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2144, prior_entropy: 6.6439, recall: 0.2144, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1253, root_relative_squared_error: 1.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.4465, kappa: 0.4129, kb_relative_information_score: 667.9704, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5514, predictive_accuracy: 0.4188, prior_entropy: 6.6439, recall: 0.4188, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1078, root_relative_squared_error: 1.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.5122, kappa: 0.529, kb_relative_information_score: 852.3719, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5422, predictive_accuracy: 0.5338, prior_entropy: 6.6439, recall: 0.5338, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7198, 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: 0.7335, 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: 0.827, kappa: 0.654, kb_relative_information_score: 1050.804, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6575, prior_entropy: 6.6439, recall: 0.6575, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.6756, kappa: 0.6534, kb_relative_information_score: 1049.8019, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7179, predictive_accuracy: 0.6569, prior_entropy: 6.6439, recall: 0.6569, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7136, kappa: 0.7159, kb_relative_information_score: 1149.0179, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7286, predictive_accuracy: 0.7188, prior_entropy: 6.6439, recall: 0.7188, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.7538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5688, kappa: 0.1376, kb_relative_information_score: 231.0188, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1463, prior_entropy: 6.6439, recall: 0.1463, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1307, root_relative_squared_error: 1.3133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7177, kappa: 0.7216, kb_relative_information_score: 1158.0376, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7289, predictive_accuracy: 0.7244, prior_entropy: 6.6439, recall: 0.7244, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, kappa: 0.1452, kb_relative_information_score: 243.045, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1538, prior_entropy: 6.6439, recall: 0.1538, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.6908, 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: 0.7108, 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: 0.8441, f_measure: 0.6867, kappa: 0.6881, kb_relative_information_score: 1104.9219, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7015, predictive_accuracy: 0.6913, prior_entropy: 6.6439, recall: 0.6913, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.7898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, kappa: 0.1471, kb_relative_information_score: 246.0516, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1556, prior_entropy: 6.6439, recall: 0.1556, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.6906, kappa: 0.6926, kb_relative_information_score: 1111.9372, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7075, predictive_accuracy: 0.6956, prior_entropy: 6.6439, recall: 0.6956, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.078, root_relative_squared_error: 0.7842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, kappa: 0.0461, kb_relative_information_score: 85.7024, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0556, prior_entropy: 6.6439, recall: 0.0556, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1374, root_relative_squared_error: 1.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.665, kappa: 0.666, kb_relative_information_score: 1069.8455, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6837, predictive_accuracy: 0.6694, prior_entropy: 6.6439, recall: 0.6694, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.6325, kappa: 0.6288, kb_relative_information_score: 1010.7167, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6598, predictive_accuracy: 0.6325, prior_entropy: 6.6439, recall: 0.6325, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.6869, kappa: 0.6692, kb_relative_information_score: 1074.8564, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7226, predictive_accuracy: 0.6725, prior_entropy: 6.6439, recall: 0.6725, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7118, kappa: 0.7159, kb_relative_information_score: 1149.0179, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7265, predictive_accuracy: 0.7188, prior_entropy: 6.6439, recall: 0.7188, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.7538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.6119, kappa: 0.6086, kb_relative_information_score: 978.6469, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6577, predictive_accuracy: 0.6125, prior_entropy: 6.6439, recall: 0.6125, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.088, root_relative_squared_error: 0.8848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, kappa: 0.053, kb_relative_information_score: 96.7264, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0625, prior_entropy: 6.6439, recall: 0.0625, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1369, root_relative_squared_error: 1.3762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7175, kappa: 0.721, kb_relative_information_score: 1157.0354, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7334, predictive_accuracy: 0.7238, prior_entropy: 6.6439, recall: 0.7238, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7117, kappa: 0.7159, kb_relative_information_score: 1149.0179, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7272, predictive_accuracy: 0.7188, prior_entropy: 6.6439, recall: 0.7188, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.7538,
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: 0.8592, f_measure: 0.7139, kappa: 0.7184, kb_relative_information_score: 1153.0266, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7275, predictive_accuracy: 0.7213, prior_entropy: 6.6439, recall: 0.7213, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7504,

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