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
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14 study_50 study_7
Issue #Downvotes for this reason By


Metric:

13592 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7233, kappa: 0.7241, kb_relative_information_score: 1162.0463, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7323, predictive_accuracy: 0.7269, prior_entropy: 6.6439, recall: 0.7269, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.6996, kappa: 0.7027, kb_relative_information_score: 1127.9721, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7158, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.7712,
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: 0.5508, kappa: 0.1016, kb_relative_information_score: 173.8944, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1106, prior_entropy: 6.6439, recall: 0.1106, relative_absolute_error: 0.8984, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1334, root_relative_squared_error: 1.3404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.5197, kappa: 0.5366, kb_relative_information_score: 864.3981, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5511, predictive_accuracy: 0.5413, prior_entropy: 6.6439, recall: 0.5413, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, kappa: 0.2424, kb_relative_information_score: 397.3811, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.25, prior_entropy: 6.6439, recall: 0.25, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1225, root_relative_squared_error: 1.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5713, kappa: 0.1427, kb_relative_information_score: 239.0363, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1513, prior_entropy: 6.6439, recall: 0.1513, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1303, root_relative_squared_error: 1.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.6921, 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: 0.7066, 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: 0.6032, 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: 0.833, f_measure: 0.661, 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: 0.6787, 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: 0.5732, 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: 0.8482, f_measure: 0.7008, kappa: 0.6963, kb_relative_information_score: 1117.9503, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7205, predictive_accuracy: 0.6994, prior_entropy: 6.6439, recall: 0.6994, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.6974, kappa: 0.7001, kb_relative_information_score: 1123.9634, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7096, predictive_accuracy: 0.7031, prior_entropy: 6.6439, recall: 0.7031, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.7744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7033, 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: 0.7182, 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: 0.5123, kappa: 0.0246, kb_relative_information_score: 51.6282, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0344, prior_entropy: 6.6439, recall: 0.0344, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.139, root_relative_squared_error: 1.3967,
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: 0.5748, 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: 0.7831, f_measure: 0.6148, 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: 0.7135, 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: 0.4981, kappa: -0.0038, kb_relative_information_score: 6.53, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.141, root_relative_squared_error: 1.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, kappa: 0.2146, kb_relative_information_score: 353.2851, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2225, prior_entropy: 6.6439, recall: 0.2225, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1247, root_relative_squared_error: 1.2533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.6758, kappa: 0.6787, kb_relative_information_score: 1089.8892, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6909, predictive_accuracy: 0.6819, prior_entropy: 6.6439, recall: 0.6819, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, kappa: 0.2045, kb_relative_information_score: 337.2502, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2125, prior_entropy: 6.6439, recall: 0.2125, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1255, root_relative_squared_error: 1.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.6601, 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: 0.6842, 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: 0.5095, kappa: 0.0189, kb_relative_information_score: 42.6085, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0288, prior_entropy: 6.6439, recall: 0.0288, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1394, root_relative_squared_error: 1.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7197, kappa: 0.7241, kb_relative_information_score: 1162.0463, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7288, predictive_accuracy: 0.7269, prior_entropy: 6.6439, recall: 0.7269, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, kappa: 0.1843, kb_relative_information_score: 305.1803, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1925, prior_entropy: 6.6439, recall: 0.1925, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1271, root_relative_squared_error: 1.2772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kappa: -0.0032, kb_relative_information_score: 7.5322, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0069, prior_entropy: 6.6439, recall: 0.0069, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1409, root_relative_squared_error: 1.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.715, kappa: 0.7191, kb_relative_information_score: 1154.0288, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.73, predictive_accuracy: 0.7219, prior_entropy: 6.6439, recall: 0.7219, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, kappa: 0.4419, kb_relative_information_score: 714.0708, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1051, root_relative_squared_error: 1.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, kappa: 0.1604, kb_relative_information_score: 267.0974, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1688, prior_entropy: 6.6439, recall: 0.1688, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1289, root_relative_squared_error: 1.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7282, kappa: 0.7311, kb_relative_information_score: 1173.0703, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7385, predictive_accuracy: 0.7338, prior_entropy: 6.6439, recall: 0.7338, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7334,
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: 0.572, 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: 0.572, 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: 0.5603, 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: 0.5025, kappa: 0.0051, kb_relative_information_score: 20.5605, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.015, prior_entropy: 6.6439, recall: 0.015, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7147, kappa: 0.7191, kb_relative_information_score: 1154.0288, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7246, predictive_accuracy: 0.7219, prior_entropy: 6.6439, recall: 0.7219, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.7496,
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: 0.8491, f_measure: 0.6966, kappa: 0.6982, kb_relative_information_score: 1120.9568, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.711, predictive_accuracy: 0.7013, prior_entropy: 6.6439, recall: 0.7013, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.7769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.6628, 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: 0.6847, 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: 0.6622, kappa: 0.3245, kb_relative_information_score: 527.6648, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3313, prior_entropy: 6.6439, recall: 0.3313, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1157, root_relative_squared_error: 1.1623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, kappa: 0.1566, kb_relative_information_score: 261.0843, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.165, prior_entropy: 6.6439, recall: 0.165, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1292, root_relative_squared_error: 1.2988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
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: 0.4984, kappa: -0.0032, kb_relative_information_score: 7.5322, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0069, prior_entropy: 6.6439, recall: 0.0069, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1409, root_relative_squared_error: 1.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.5337, kappa: 0.5455, kb_relative_information_score: 878.4287, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5672, predictive_accuracy: 0.55, prior_entropy: 6.6439, recall: 0.55, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.6898, 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: 0.7058, 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: 0.6761, kappa: 0.3523, kb_relative_information_score: 571.7609, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3588, prior_entropy: 6.6439, recall: 0.3588, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1132, root_relative_squared_error: 1.1382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.6867, kappa: 0.6888, kb_relative_information_score: 1105.9241, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7015, predictive_accuracy: 0.6919, prior_entropy: 6.6439, recall: 0.6919, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, kappa: 0.5543, kb_relative_information_score: 892.4592, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5588, prior_entropy: 6.6439, recall: 0.5588, relative_absolute_error: 0.4457, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7195, 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: 0.7319, 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: 0.8403, f_measure: 0.6777, kappa: 0.6806, kb_relative_information_score: 1092.8957, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6927, predictive_accuracy: 0.6838, prior_entropy: 6.6439, recall: 0.6838, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7188, 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: 0.7312, 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: 0.6515, kappa: 0.303, kb_relative_information_score: 493.5906, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.31, prior_entropy: 6.6439, recall: 0.31, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1175, root_relative_squared_error: 1.1807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, kappa: 0.2797, kb_relative_information_score: 456.5099, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2869, prior_entropy: 6.6439, recall: 0.2869, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1194, root_relative_squared_error: 1.2003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, kappa: 0.1477, kb_relative_information_score: 247.0538, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1563, prior_entropy: 6.6439, recall: 0.1563, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1299, root_relative_squared_error: 1.3056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7091, 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: 0.7237, 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: 0.5006, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, kappa: 0.3466, kb_relative_information_score: 562.7412, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3531, prior_entropy: 6.6439, recall: 0.3531, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1137, root_relative_squared_error: 1.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.6526, 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: 0.6754, 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: 0.7342, kappa: 0.4684, kb_relative_information_score: 756.1624, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4738, prior_entropy: 6.6439, recall: 0.4738, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1026, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, kappa: 0.1155, kb_relative_information_score: 195.9425, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1244, prior_entropy: 6.6439, recall: 0.1244, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1323, root_relative_squared_error: 1.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kappa: -0.0044, kb_relative_information_score: 5.5278, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.141, root_relative_squared_error: 1.4173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7078, 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: 0.7234, 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: 0.5735, 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: 0.5723, 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: 0.5723, 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: 0.4949, 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: 0.5622, kappa: 0.1244, kb_relative_information_score: 209.973, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1331, prior_entropy: 6.6439, recall: 0.1331, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1317, root_relative_squared_error: 1.3234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, kappa: 0.1528, kb_relative_information_score: 255.0712, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1613, prior_entropy: 6.6439, recall: 0.1613, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1295, root_relative_squared_error: 1.3017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.6173, 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: 0.6385, 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: 0.8557, f_measure: 0.7087, 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: 0.7236, 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: 0.8198, f_measure: 0.6357, kappa: 0.6395, kb_relative_information_score: 1027.7538, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6536, predictive_accuracy: 0.6431, prior_entropy: 6.6439, recall: 0.6431, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.8491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, kappa: 0.1509, kb_relative_information_score: 252.0647, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1594, prior_entropy: 6.6439, recall: 0.1594, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1297, root_relative_squared_error: 1.3032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.662, 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: 0.6844, 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: 0.8621, f_measure: 0.72, kappa: 0.7241, kb_relative_information_score: 1162.0463, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7344, predictive_accuracy: 0.7269, prior_entropy: 6.6439, recall: 0.7269, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, kappa: 0.1597, kb_relative_information_score: 266.0952, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1681, prior_entropy: 6.6439, recall: 0.1681, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.129, root_relative_squared_error: 1.2964,
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: 0.7535, kappa: 0.5069, kb_relative_information_score: 817.2955, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5119, prior_entropy: 6.6439, recall: 0.5119, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, kappa: 0.2904, kb_relative_information_score: 473.547, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2975, prior_entropy: 6.6439, recall: 0.2975, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1185, root_relative_squared_error: 1.1913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7097, 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: 0.7245, 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: 0.8403, f_measure: 0.6913, kappa: 0.6806, kb_relative_information_score: 1092.8957, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7196, predictive_accuracy: 0.6838, prior_entropy: 6.6439, recall: 0.6838, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, kappa: 0.0208, kb_relative_information_score: 45.6151, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0306, prior_entropy: 6.6439, recall: 0.0306, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1392, root_relative_squared_error: 1.3994,
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: 0.5754, f_measure: 0.2025, kappa: 0.1509, kb_relative_information_score: 252.0647, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4236, predictive_accuracy: 0.1594, prior_entropy: 6.6439, recall: 0.1594, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1297, root_relative_squared_error: 1.3032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, kappa: 0.541, kb_relative_information_score: 871.4134, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5456, prior_entropy: 6.6439, recall: 0.5456, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.9581,
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: 0.5682, kappa: 0.1364, kb_relative_information_score: 229.0145, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.145, prior_entropy: 6.6439, recall: 0.145, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1308, root_relative_squared_error: 1.3143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, kappa: 0.4192, kb_relative_information_score: 677.9922, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.425, prior_entropy: 6.6439, recall: 0.425, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1072, root_relative_squared_error: 1.0778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6812, kappa: 0.6843, kb_relative_information_score: 1098.9088, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6999, predictive_accuracy: 0.6875, prior_entropy: 6.6439, recall: 0.6875, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.7946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.6172, 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: 0.649, 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: 0.5704, kappa: 0.1408, kb_relative_information_score: 236.0297, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1494, prior_entropy: 6.6439, recall: 0.1494, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1304, root_relative_squared_error: 1.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.5158, kappa: 0.5013, kb_relative_information_score: 808.2759, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5631, predictive_accuracy: 0.5063, prior_entropy: 6.6439, recall: 0.5063, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5694, kappa: 0.1389, kb_relative_information_score: 233.0232, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1475, prior_entropy: 6.6439, recall: 0.1475, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1306, root_relative_squared_error: 1.3123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, kappa: 0.339, kb_relative_information_score: 550.715, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3456, prior_entropy: 6.6439, recall: 0.3456, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1144, root_relative_squared_error: 1.1498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, kappa: 0.3409, kb_relative_information_score: 553.7216, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3475, prior_entropy: 6.6439, recall: 0.3475, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1142, root_relative_squared_error: 1.1481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.5856, kappa: 0.5789, kb_relative_information_score: 931.5443, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.638, predictive_accuracy: 0.5831, prior_entropy: 6.6439, recall: 0.5831, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, kappa: 0.3378, kb_relative_information_score: 548.7107, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3444, prior_entropy: 6.6439, recall: 0.3444, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1145, root_relative_squared_error: 1.1509,
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: 0.8349, f_measure: 0.6657, kappa: 0.6698, kb_relative_information_score: 1075.8586, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6811, predictive_accuracy: 0.6731, prior_entropy: 6.6439, recall: 0.6731, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8126,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs