Task
Supervised Classification on climate-model-simulation-crashes

Supervised Classification on climate-model-simulation-crashes

Task 9980 Supervised Classification climate-model-simulation-crashes 97949 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: 0.6852, f_measure: 0.8765, kappa: 0.2117, kb_relative_information_score: -120.764, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8771, predictive_accuracy: 0.8759, prior_entropy: 0.4254, recall: 0.8759, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3047, root_relative_squared_error: 1.0914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.884, kappa: 0.1466, kb_relative_information_score: -111.1718, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8731, predictive_accuracy: 0.9037, prior_entropy: 0.4254, recall: 0.9037, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.8904, kappa: 0.2505, kb_relative_information_score: -128.9046, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8844, predictive_accuracy: 0.8981, prior_entropy: 0.4254, recall: 0.8981, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2829, root_relative_squared_error: 1.0135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.8828, kappa: 0.1419, kb_relative_information_score: -112.952, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8715, predictive_accuracy: 0.9019, prior_entropy: 0.4254, recall: 0.9019, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8728, kappa: 0.0734, kb_relative_information_score: -109.1752, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.858, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6165, f_measure: 0.8738, kappa: 0.2251, kb_relative_information_score: -94.0887, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8796, predictive_accuracy: 0.8685, prior_entropy: 0.4254, recall: 0.8685, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3311, root_relative_squared_error: 1.1861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.879, kappa: 0.22, kb_relative_information_score: -108.4644, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8784, predictive_accuracy: 0.8796, prior_entropy: 0.4254, recall: 0.8796, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2974, root_relative_squared_error: 1.0652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.8778, kappa: 0.2158, kb_relative_information_score: -179.0177, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8778, predictive_accuracy: 0.8778, prior_entropy: 0.4254, recall: 0.8778, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.309, root_relative_squared_error: 1.1068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.8757, kappa: 0.116, kb_relative_information_score: -126.9286, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8642, predictive_accuracy: 0.8907, prior_entropy: 0.4254, recall: 0.8907, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.884, kappa: 0.2485, kb_relative_information_score: -117.9615, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8829, predictive_accuracy: 0.8852, prior_entropy: 0.4254, recall: 0.8852, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2924, root_relative_squared_error: 1.0474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.8802, kappa: 0.2352, kb_relative_information_score: -160.4274, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8808, predictive_accuracy: 0.8796, prior_entropy: 0.4254, recall: 0.8796, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.1422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.884, kappa: 0.1466, kb_relative_information_score: -110.4671, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8731, predictive_accuracy: 0.9037, prior_entropy: 0.4254, recall: 0.9037, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.8886, kappa: 0.296, kb_relative_information_score: -81.0268, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8903, predictive_accuracy: 0.887, prior_entropy: 0.4254, recall: 0.887, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2829, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.8955, kappa: 0.26, kb_relative_information_score: -81.9362, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8886, predictive_accuracy: 0.9074, prior_entropy: 0.4254, recall: 0.9074, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.8828, kappa: 0.1419, kb_relative_information_score: -107.0717, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8715, predictive_accuracy: 0.9019, prior_entropy: 0.4254, recall: 0.9019, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.8929, kappa: 0.2489, kb_relative_information_score: -91.8292, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8857, predictive_accuracy: 0.9037, prior_entropy: 0.4254, recall: 0.9037, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.271, root_relative_squared_error: 0.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.8981, kappa: 0.2717, kb_relative_information_score: -110.7995, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8918, predictive_accuracy: 0.9111, prior_entropy: 0.4254, recall: 0.9111, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.8778, kappa: 0.2158, kb_relative_information_score: -181.1557, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8778, predictive_accuracy: 0.8778, prior_entropy: 0.4254, recall: 0.8778, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3091, root_relative_squared_error: 1.1072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.8628, kappa: 0.1823, kb_relative_information_score: -192.0738, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8733, predictive_accuracy: 0.8537, prior_entropy: 0.4254, recall: 0.8537, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3228, root_relative_squared_error: 1.1564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.8853, kappa: 0.2531, kb_relative_information_score: -141.4204, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8836, predictive_accuracy: 0.887, prior_entropy: 0.4254, recall: 0.887, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2966, root_relative_squared_error: 1.0626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.8753, kappa: 0.2077, kb_relative_information_score: -167.3197, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8765, predictive_accuracy: 0.8741, prior_entropy: 0.4254, recall: 0.8741, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3157, root_relative_squared_error: 1.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.8643, kappa: 0.1378, kb_relative_information_score: -171.0073, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8656, predictive_accuracy: 0.863, prior_entropy: 0.4254, recall: 0.863, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.35, root_relative_squared_error: 1.2537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.886, kappa: 0.1692, kb_relative_information_score: -99.1886, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.876, predictive_accuracy: 0.9037, prior_entropy: 0.4254, recall: 0.9037, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.633, f_measure: 0.8828, kappa: 0.244, kb_relative_information_score: -179.7439, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8822, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.884, kappa: 0.1466, kb_relative_information_score: -112.7012, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8731, predictive_accuracy: 0.9037, prior_entropy: 0.4254, recall: 0.9037, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.9544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.8716, kappa: 0.1844, kb_relative_information_score: -129.2972, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8729, predictive_accuracy: 0.8704, prior_entropy: 0.4254, recall: 0.8704, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3257, root_relative_squared_error: 1.1666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.8852, kappa: 0.1515, kb_relative_information_score: -104.9163, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8749, predictive_accuracy: 0.9056, prior_entropy: 0.4254, recall: 0.9056, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.8746, kappa: 0.112, kb_relative_information_score: -111.6956, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8633, predictive_accuracy: 0.8889, prior_entropy: 0.4254, recall: 0.8889, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.8828, kappa: 0.244, kb_relative_information_score: -45.7028, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8822, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.1423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.8667, kappa: 0.1575, kb_relative_information_score: -141.1419, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8687, predictive_accuracy: 0.8648, prior_entropy: 0.4254, recall: 0.8648, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3568, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.884, kappa: 0.2485, kb_relative_information_score: -169.9137, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8829, predictive_accuracy: 0.8852, prior_entropy: 0.4254, recall: 0.8852, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3136, root_relative_squared_error: 1.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.8713, kappa: 0.2175, kb_relative_information_score: -102.8617, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8785, predictive_accuracy: 0.8648, prior_entropy: 0.4254, recall: 0.8648, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3202, root_relative_squared_error: 1.1469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6211, f_measure: 0.8752, kappa: 0.2187, kb_relative_information_score: -68.7615, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8783, predictive_accuracy: 0.8722, prior_entropy: 0.4254, recall: 0.8722, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.1916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.8746, kappa: 0.112, kb_relative_information_score: -122.987, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8633, predictive_accuracy: 0.8889, prior_entropy: 0.4254, recall: 0.8889, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.886, kappa: 0.2866, kb_relative_information_score: -84.1964, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.889, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2819, root_relative_squared_error: 1.0098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.8828, kappa: 0.2331, kb_relative_information_score: -146.5565, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8806, predictive_accuracy: 0.8852, prior_entropy: 0.4254, recall: 0.8852, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2971, root_relative_squared_error: 1.0642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.885, kappa: 0.2052, kb_relative_information_score: -122.0222, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8776, predictive_accuracy: 0.8944, prior_entropy: 0.4254, recall: 0.8944, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2889, root_relative_squared_error: 1.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.8775, kappa: 0.2372, kb_relative_information_score: -51.5278, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8813, predictive_accuracy: 0.8741, prior_entropy: 0.4254, recall: 0.8741, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.1754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.8828, kappa: 0.244, kb_relative_information_score: -94.345, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8822, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2836, root_relative_squared_error: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.8802, kappa: 0.2352, kb_relative_information_score: -120.0786, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8808, predictive_accuracy: 0.8796, prior_entropy: 0.4254, recall: 0.8796, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3072, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.8788, kappa: 0.2413, kb_relative_information_score: -55.345, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8819, predictive_accuracy: 0.8759, prior_entropy: 0.4254, recall: 0.8759, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3203, root_relative_squared_error: 1.1473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.8643, kappa: 0.1378, kb_relative_information_score: -163.9975, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8656, predictive_accuracy: 0.863, prior_entropy: 0.4254, recall: 0.863, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3473, root_relative_squared_error: 1.2441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.8826, kappa: 0.2543, kb_relative_information_score: -130.5858, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8838, predictive_accuracy: 0.8815, prior_entropy: 0.4254, recall: 0.8815, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3052, root_relative_squared_error: 1.0933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.8801, kappa: 0.2456, kb_relative_information_score: -110.1475, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8825, predictive_accuracy: 0.8778, prior_entropy: 0.4254, recall: 0.8778, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3076, root_relative_squared_error: 1.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.8739, kappa: 0.2147, kb_relative_information_score: -188.1847, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8778, predictive_accuracy: 0.8704, prior_entropy: 0.4254, recall: 0.8704, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3128, root_relative_squared_error: 1.1207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.8828, kappa: 0.1419, kb_relative_information_score: -112.1766, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8715, predictive_accuracy: 0.9019, prior_entropy: 0.4254, recall: 0.9019, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.8752, kappa: 0.2187, kb_relative_information_score: -84.1975, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8783, predictive_accuracy: 0.8722, prior_entropy: 0.4254, recall: 0.8722, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.323, root_relative_squared_error: 1.1572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.8778, kappa: 0.2158, kb_relative_information_score: -31.9537, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8778, predictive_accuracy: 0.8778, prior_entropy: 0.4254, recall: 0.8778, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3337, root_relative_squared_error: 1.1954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.8616, kappa: 0.179, kb_relative_information_score: -181.8909, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8728, predictive_accuracy: 0.8519, prior_entropy: 0.4254, recall: 0.8519, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3205, root_relative_squared_error: 1.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.8726, kappa: 0.0897, kb_relative_information_score: -128.2749, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8599, predictive_accuracy: 0.8889, prior_entropy: 0.4254, recall: 0.8889, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2886, root_relative_squared_error: 1.0337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.8904, kappa: 0.2505, kb_relative_information_score: -112.1426, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8844, predictive_accuracy: 0.8981, prior_entropy: 0.4254, recall: 0.8981, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2814, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.8828, kappa: 0.1419, kb_relative_information_score: -107.4868, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8715, predictive_accuracy: 0.9019, prior_entropy: 0.4254, recall: 0.9019, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.8853, kappa: 0.2531, kb_relative_information_score: -99.8516, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8836, predictive_accuracy: 0.887, prior_entropy: 0.4254, recall: 0.887, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2817, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.8778, kappa: 0.2158, kb_relative_information_score: -169.587, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8778, predictive_accuracy: 0.8778, prior_entropy: 0.4254, recall: 0.8778, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3076, root_relative_squared_error: 1.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.8746, kappa: 0.112, kb_relative_information_score: -105.0936, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8633, predictive_accuracy: 0.8889, prior_entropy: 0.4254, recall: 0.8889, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.899, kappa: 0.3455, kb_relative_information_score: -63.8578, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.898, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.8726, kappa: 0.0897, kb_relative_information_score: -103.9445, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8599, predictive_accuracy: 0.8889, prior_entropy: 0.4254, recall: 0.8889, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.9769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.8828, kappa: 0.2331, kb_relative_information_score: -142.9852, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8806, predictive_accuracy: 0.8852, prior_entropy: 0.4254, recall: 0.8852, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2966, root_relative_squared_error: 1.0626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.884, kappa: 0.1466, kb_relative_information_score: -118.7972, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8731, predictive_accuracy: 0.9037, prior_entropy: 0.4254, recall: 0.9037, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.8654, kappa: 0.178, kb_relative_information_score: -145.0347, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8722, predictive_accuracy: 0.8593, prior_entropy: 0.4254, recall: 0.8593, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3145, root_relative_squared_error: 1.1266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.8746, kappa: 0.112, kb_relative_information_score: -100.6356, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8633, predictive_accuracy: 0.8889, prior_entropy: 0.4254, recall: 0.8889, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.8803, kappa: 0.2243, kb_relative_information_score: -189.7357, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8791, predictive_accuracy: 0.8815, prior_entropy: 0.4254, recall: 0.8815, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.1089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.8802, kappa: 0.2352, kb_relative_information_score: -171.9918, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8808, predictive_accuracy: 0.8796, prior_entropy: 0.4254, recall: 0.8796, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3048, root_relative_squared_error: 1.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.8807, kappa: 0.1182, kb_relative_information_score: -111.7092, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8682, predictive_accuracy: 0.9019, prior_entropy: 0.4254, recall: 0.9019, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.8788, kappa: 0.2413, kb_relative_information_score: -79.0428, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8819, predictive_accuracy: 0.8759, prior_entropy: 0.4254, recall: 0.8759, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3346, root_relative_squared_error: 1.1984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.8746, kappa: 0.112, kb_relative_information_score: -110.0453, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8633, predictive_accuracy: 0.8889, prior_entropy: 0.4254, recall: 0.8889, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.8692, kappa: 0.177, kb_relative_information_score: -85.78, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8718, predictive_accuracy: 0.8667, prior_entropy: 0.4254, recall: 0.8667, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.8761, kappa: 0.1013, kb_relative_information_score: -91.6443, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8628, predictive_accuracy: 0.8944, prior_entropy: 0.4254, recall: 0.8944, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.8926, kappa: 0.3109, kb_relative_information_score: -78.1892, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8926, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2802, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.879, kappa: 0.231, kb_relative_information_score: -160.6013, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8802, predictive_accuracy: 0.8778, prior_entropy: 0.4254, recall: 0.8778, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3124, root_relative_squared_error: 1.1192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.8886, kappa: 0.296, kb_relative_information_score: -61.8852, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8903, predictive_accuracy: 0.887, prior_entropy: 0.4254, recall: 0.887, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.285, root_relative_squared_error: 1.0209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.8837, kappa: 0.2005, kb_relative_information_score: -141.7088, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8766, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2901, root_relative_squared_error: 1.0391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.8811, kappa: 0.1504, kb_relative_information_score: -110.0986, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8705, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.8917, kappa: 0.2557, kb_relative_information_score: -123.9524, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8855, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2813, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.8746, kappa: 0.112, kb_relative_information_score: -106.5605, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8633, predictive_accuracy: 0.8889, prior_entropy: 0.4254, recall: 0.8889, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.8777, kappa: 0.2268, kb_relative_information_score: -144.1515, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8795, predictive_accuracy: 0.8759, prior_entropy: 0.4254, recall: 0.8759, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3129, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.884, kappa: 0.2485, kb_relative_information_score: -114.3001, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8829, predictive_accuracy: 0.8852, prior_entropy: 0.4254, recall: 0.8852, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2852, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.8763, kappa: 0.2331, kb_relative_information_score: -75.6399, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8807, predictive_accuracy: 0.8722, prior_entropy: 0.4254, recall: 0.8722, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.322, root_relative_squared_error: 1.1533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.8981, kappa: 0.2717, kb_relative_information_score: -95.0049, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8918, predictive_accuracy: 0.9111, prior_entropy: 0.4254, recall: 0.9111, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.8777, kappa: 0.2268, kb_relative_information_score: -37.4539, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8795, predictive_accuracy: 0.8759, prior_entropy: 0.4254, recall: 0.8759, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.2132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.8811, kappa: 0.1504, kb_relative_information_score: -108.5231, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8705, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.8811, kappa: 0.1504, kb_relative_information_score: -113.0073, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8705, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.8803, kappa: 0.2126, kb_relative_information_score: -142.8694, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8774, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3112, root_relative_squared_error: 1.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.8802, kappa: 0.2352, kb_relative_information_score: -138.9451, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8808, predictive_accuracy: 0.8796, prior_entropy: 0.4254, recall: 0.8796, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2978, root_relative_squared_error: 1.0667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8968, kappa: 0.2658, kb_relative_information_score: -110.2644, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8901, predictive_accuracy: 0.9093, prior_entropy: 0.4254, recall: 0.9093, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.8892, kappa: 0.2568, kb_relative_information_score: -113.3815, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8847, predictive_accuracy: 0.8944, prior_entropy: 0.4254, recall: 0.8944, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.316, root_relative_squared_error: 1.1319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.879, kappa: 0.231, kb_relative_information_score: -72.8305, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8802, predictive_accuracy: 0.8778, prior_entropy: 0.4254, recall: 0.8778, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.297, root_relative_squared_error: 1.0638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.8852, kappa: 0.1515, kb_relative_information_score: -107.8947, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8749, predictive_accuracy: 0.9056, prior_entropy: 0.4254, recall: 0.9056, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.8811, kappa: 0.1504, kb_relative_information_score: -110.323, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8705, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.8878, kappa: 0.2728, kb_relative_information_score: -134.0953, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8867, predictive_accuracy: 0.8889, prior_entropy: 0.4254, recall: 0.8889, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.295, root_relative_squared_error: 1.0568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.8778, kappa: 0.2158, kb_relative_information_score: -171.5918, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8778, predictive_accuracy: 0.8778, prior_entropy: 0.4254, recall: 0.8778, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.306, root_relative_squared_error: 1.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.89, kappa: 0.2251, kb_relative_information_score: -94.7946, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8822, predictive_accuracy: 0.9019, prior_entropy: 0.4254, recall: 0.9019, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.886, kappa: 0.1692, kb_relative_information_score: -112.8562, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.876, predictive_accuracy: 0.9037, prior_entropy: 0.4254, recall: 0.9037, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.8726, kappa: 0.0897, kb_relative_information_score: -124.6129, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8599, predictive_accuracy: 0.8889, prior_entropy: 0.4254, recall: 0.8889, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2885, root_relative_squared_error: 1.0334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.8787, kappa: 0.1416, kb_relative_information_score: -128.2346, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8683, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2859, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.8826, kappa: 0.2543, kb_relative_information_score: -122.7192, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8838, predictive_accuracy: 0.8815, prior_entropy: 0.4254, recall: 0.8815, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3063, root_relative_squared_error: 1.0973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.8741, kappa: 0.192, kb_relative_information_score: -128.1982, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8741, predictive_accuracy: 0.8741, prior_entropy: 0.4254, recall: 0.8741, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3242, root_relative_squared_error: 1.1613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.8704, kappa: 0.1806, kb_relative_information_score: -188.5013, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8723, predictive_accuracy: 0.8685, prior_entropy: 0.4254, recall: 0.8685, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3116, root_relative_squared_error: 1.1162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.8811, kappa: 0.1504, kb_relative_information_score: -116.6725, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8705, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.8828, kappa: 0.244, kb_relative_information_score: -143.7499, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8822, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3126, root_relative_squared_error: 1.12,

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

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

OpenML APIs