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: 0.5723, 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: 0.5063, kappa: 0.0126, kb_relative_information_score: 32.5867, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0225, prior_entropy: 6.6439, recall: 0.0225, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1398, root_relative_squared_error: 1.4053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7202, kappa: 0.726, kb_relative_information_score: 1165.0528, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7323, predictive_accuracy: 0.7288, prior_entropy: 6.6439, recall: 0.7288, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.7403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7127, kappa: 0.7165, kb_relative_information_score: 1150.0201, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7306, predictive_accuracy: 0.7194, prior_entropy: 6.6439, recall: 0.7194, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.7529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.6577, kappa: 0.6559, kb_relative_information_score: 1053.8106, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6757, predictive_accuracy: 0.6594, prior_entropy: 6.6439, recall: 0.6594, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.6888, 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: 0.7229, 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: 0.5723, 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: 0.7813, f_measure: 0.5472, kappa: 0.5625, kb_relative_information_score: 905.4876, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5793, predictive_accuracy: 0.5669, prior_entropy: 6.6439, recall: 0.5669, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.9354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.5831, kappa: 0.5783, kb_relative_information_score: 930.5422, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6068, predictive_accuracy: 0.5825, prior_entropy: 6.6439, recall: 0.5825, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.6757, kappa: 0.6755, kb_relative_information_score: 1084.8782, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6935, predictive_accuracy: 0.6788, prior_entropy: 6.6439, recall: 0.6788, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, kappa: 0.3952, kb_relative_information_score: 639.9093, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4013, prior_entropy: 6.6439, recall: 0.4013, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1094, root_relative_squared_error: 1.0998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.5965, kappa: 0.5979, kb_relative_information_score: 961.6098, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6196, predictive_accuracy: 0.6019, prior_entropy: 6.6439, recall: 0.6019, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.627, kappa: 0.6338, kb_relative_information_score: 1018.7342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.646, predictive_accuracy: 0.6375, prior_entropy: 6.6439, recall: 0.6375, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.8558,
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: 0.5, kb_relative_information_score: 12.5431, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7076, kappa: 0.7121, kb_relative_information_score: 1143.0048, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7244, predictive_accuracy: 0.715, prior_entropy: 6.6439, recall: 0.715, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7183, kappa: 0.7203, kb_relative_information_score: 1156.0332, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.728, predictive_accuracy: 0.7231, prior_entropy: 6.6439, recall: 0.7231, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7197, 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: 0.7291, 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: 0.5704, 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: 0.8119, f_measure: 0.6565, kappa: 0.6237, kb_relative_information_score: 1002.6993, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7169, predictive_accuracy: 0.6275, prior_entropy: 6.6439, recall: 0.6275, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.5372, kappa: 0.5492, kb_relative_information_score: 884.4418, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5733, predictive_accuracy: 0.5538, prior_entropy: 6.6439, recall: 0.5538, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6121, kappa: 0.2241, kb_relative_information_score: 368.3178, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2319, prior_entropy: 6.6439, recall: 0.2319, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1239, root_relative_squared_error: 1.2457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.652, kappa: 0.6484, kb_relative_information_score: 1041.7844, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6734, predictive_accuracy: 0.6519, prior_entropy: 6.6439, recall: 0.6519, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.8386,
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: 0.666, kappa: 0.3321, kb_relative_information_score: 539.691, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3388, prior_entropy: 6.6439, recall: 0.3388, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.115, root_relative_squared_error: 1.1558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7122, kappa: 0.7172, kb_relative_information_score: 1151.0223, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7245, predictive_accuracy: 0.72, prior_entropy: 6.6439, recall: 0.72, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.6779, 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: 0.6972, 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: 0.6831, kappa: 0.3662, kb_relative_information_score: 593.8089, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3725, prior_entropy: 6.6439, recall: 0.3725, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.112, root_relative_squared_error: 1.1259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, kappa: 0.3832, kb_relative_information_score: 620.8678, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3894, prior_entropy: 6.6439, recall: 0.3894, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1105, root_relative_squared_error: 1.1107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, kappa: 0.1124, kb_relative_information_score: 190.9315, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1213, prior_entropy: 6.6439, recall: 0.1213, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1326, root_relative_squared_error: 1.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7035, 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: 0.7152, 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: 0.8542, f_measure: 0.7045, kappa: 0.7083, kb_relative_information_score: 1136.9917, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7189, predictive_accuracy: 0.7113, prior_entropy: 6.6439, recall: 0.7113, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.076, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.6565, kappa: 0.6591, kb_relative_information_score: 1058.8215, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6743, predictive_accuracy: 0.6625, prior_entropy: 6.6439, recall: 0.6625, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8257,
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: 0.4981, 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: 0.5653, kappa: 0.1307, kb_relative_information_score: 219.9948, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1394, prior_entropy: 6.6439, recall: 0.1394, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1312, root_relative_squared_error: 1.3186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 13.5453, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0106, prior_entropy: 6.6439, recall: 0.0106, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.6854, kappa: 0.6862, kb_relative_information_score: 1101.9153, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7026, predictive_accuracy: 0.6894, prior_entropy: 6.6439, recall: 0.6894, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, kappa: 0.1837, kb_relative_information_score: 304.1782, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1919, prior_entropy: 6.6439, recall: 0.1919, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1271, root_relative_squared_error: 1.2777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.5431, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
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: 0.8608, f_measure: 0.7183, 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: 0.7279, 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: 0.5893, kappa: 0.1787, kb_relative_information_score: 296.1607, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1869, prior_entropy: 6.6439, recall: 0.1869, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1275, root_relative_squared_error: 1.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.1947, kappa: 0.1572, kb_relative_information_score: 262.0865, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3391, predictive_accuracy: 0.1656, prior_entropy: 6.6439, recall: 0.1656, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1292, root_relative_squared_error: 1.2983,
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: 0.5, kb_relative_information_score: 12.5431, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
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: 0.8611, f_measure: 0.7192, 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: 0.5739, 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: 0.4962, 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: 0.5723, 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: 0.8299, f_measure: 0.6534, kappa: 0.6597, kb_relative_information_score: 1059.8237, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6651, predictive_accuracy: 0.6631, prior_entropy: 6.6439, recall: 0.6631, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.825,
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: 0.5944, 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: 0.7282, kappa: 0.4564, kb_relative_information_score: 737.121, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4619, prior_entropy: 6.6439, recall: 0.4619, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1037, root_relative_squared_error: 1.0427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, kappa: 0.1856, kb_relative_information_score: 307.1847, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1938, prior_entropy: 6.6439, recall: 0.1938, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.127, root_relative_squared_error: 1.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7072, 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: 0.7231, 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: 0.8286, f_measure: 0.6537, 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: 0.6753, 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: 0.5723, 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: 0.5963, kappa: 0.1926, kb_relative_information_score: 318.2087, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2006, prior_entropy: 6.6439, recall: 0.2006, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1264, root_relative_squared_error: 1.2708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, kappa: 0.4931, kb_relative_information_score: 795.2475, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4981, prior_entropy: 6.6439, recall: 0.4981, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1002, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kappa: 0.0088, kb_relative_information_score: 26.5736, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0188, prior_entropy: 6.6439, recall: 0.0188, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1401, root_relative_squared_error: 1.408,
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: 0.8239, f_measure: 0.6473, kappa: 0.6477, kb_relative_information_score: 1040.7822, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.666, predictive_accuracy: 0.6513, prior_entropy: 6.6439, recall: 0.6513, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8394,
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: 0.8346, f_measure: 0.6689, 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: 0.6923, 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: 0.5802, 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: 0.8387, f_measure: 0.6777, 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: 0.6952, 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: 0.5723, 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: 0.8456, f_measure: 0.6898, kappa: 0.6913, kb_relative_information_score: 1109.9328, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7033, predictive_accuracy: 0.6944, prior_entropy: 6.6439, recall: 0.6944, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7858,
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: 0.4987, 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: 0.8273, f_measure: 0.6515, kappa: 0.6547, kb_relative_information_score: 1051.8062, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6698, predictive_accuracy: 0.6581, prior_entropy: 6.6439, recall: 0.6581, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, kappa: 0.4514, kb_relative_information_score: 729.1035, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4569, prior_entropy: 6.6439, recall: 0.4569, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1042, root_relative_squared_error: 1.0475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, kappa: 0.1174, kb_relative_information_score: 198.949, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1263, prior_entropy: 6.6439, recall: 0.1263, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1322, root_relative_squared_error: 1.3286,
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: 0.6853, kappa: 0.3706, kb_relative_information_score: 600.8241, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3769, prior_entropy: 6.6439, recall: 0.3769, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1116, root_relative_squared_error: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, kappa: 0.4236, kb_relative_information_score: 685.0075, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4294, prior_entropy: 6.6439, recall: 0.4294, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1068, root_relative_squared_error: 1.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7075, 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: 0.7232, 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: 0.8608, f_measure: 0.7209, 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: 0.7324, 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: 0.5025, 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: 0.5735, 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: 0.6831, kappa: 0.3662, kb_relative_information_score: 593.8089, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3725, prior_entropy: 6.6439, recall: 0.3725, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.112, root_relative_squared_error: 1.1259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, kappa: 0.5025, kb_relative_information_score: 810.2803, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5075, prior_entropy: 6.6439, recall: 0.5075, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.686, kappa: 0.6711, kb_relative_information_score: 1077.863, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7189, predictive_accuracy: 0.6744, prior_entropy: 6.6439, recall: 0.6744, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7052, kappa: 0.7077, kb_relative_information_score: 1135.9895, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7177, predictive_accuracy: 0.7106, prior_entropy: 6.6439, recall: 0.7106, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.7646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7194, 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: 0.7314, 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: 0.6717, 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: 0.5653, kappa: 0.1307, kb_relative_information_score: 219.9948, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1394, prior_entropy: 6.6439, recall: 0.1394, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1312, root_relative_squared_error: 1.3186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, kappa: 0.012, kb_relative_information_score: 31.5845, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0219, prior_entropy: 6.6439, recall: 0.0219, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1399, root_relative_squared_error: 1.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, kappa: 0.4691, kb_relative_information_score: 757.1646, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4744, prior_entropy: 6.6439, recall: 0.4744, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1025, root_relative_squared_error: 1.0305,
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: 0.7996, f_measure: 0.6413, kappa: 0.5991, kb_relative_information_score: 963.6142, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7193, predictive_accuracy: 0.6031, prior_entropy: 6.6439, recall: 0.6031, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.8954,
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: 0.8321, f_measure: 0.6594, kappa: 0.6641, kb_relative_information_score: 1066.839, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6775, predictive_accuracy: 0.6675, prior_entropy: 6.6439, recall: 0.6675, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.8196,
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: 0.4981, 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,

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