OpenML
Supervised Classification on one-hundred-plants-texture

Supervised Classification on one-hundred-plants-texture

Task 9956 Supervised Classification one-hundred-plants-texture 12911 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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12911 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, kappa: 0.5515, kb_relative_information_score: 1003.4523, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.556, prior_entropy: 6.6438, recall: 0.556, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, kappa: 0.7056, kb_relative_information_score: 925.3152, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7086, prior_entropy: 6.6438, recall: 0.7086, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.7731, kappa: 0.7656, kb_relative_information_score: 934.9646, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7873, predictive_accuracy: 0.768, prior_entropy: 6.6438, recall: 0.768, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.8466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.781, kappa: 0.7738, kb_relative_information_score: 846.6944, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8036, predictive_accuracy: 0.7761, prior_entropy: 6.6438, recall: 0.7761, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.086, root_relative_squared_error: 0.8644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8506, kappa: 0.8459, kb_relative_information_score: 971.7494, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8647, predictive_accuracy: 0.8474, prior_entropy: 6.6438, recall: 0.8474, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kappa: -0.0025, kb_relative_information_score: 51.7223, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0075, prior_entropy: 6.6438, recall: 0.0075, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.8451, kappa: 0.8395, kb_relative_information_score: 968.4672, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8576, predictive_accuracy: 0.8412, prior_entropy: 6.6438, recall: 0.8412, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, kappa: 0.0765, kb_relative_information_score: 69.0107, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0857, prior_entropy: 6.6438, recall: 0.0857, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.7232, kappa: 0.7271, kb_relative_information_score: 850.9431, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7362, predictive_accuracy: 0.7298, prior_entropy: 6.6438, recall: 0.7298, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.7425, kappa: 0.7498, kb_relative_information_score: 1217.3134, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7471, predictive_accuracy: 0.7523, prior_entropy: 6.6438, recall: 0.7523, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.6564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8458, kappa: 0.8395, kb_relative_information_score: 967.0089, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8596, predictive_accuracy: 0.8412, prior_entropy: 6.6438, recall: 0.8412, relative_absolute_error: 0.8042, 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: 0.9803, f_measure: 0.6246, kappa: 0.5989, kb_relative_information_score: 944.2082, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.718, predictive_accuracy: 0.6029, prior_entropy: 6.6438, recall: 0.6029, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.7851, kappa: 0.7833, kb_relative_information_score: 0.256, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.794, predictive_accuracy: 0.7855, prior_entropy: 6.6438, recall: 0.7855, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, kappa: 0.6298, kb_relative_information_score: 856.9354, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6335, prior_entropy: 6.6438, recall: 0.6335, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.8897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.7743, kappa: 0.7871, kb_relative_information_score: 1136.1895, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7867, predictive_accuracy: 0.7892, prior_entropy: 6.6438, recall: 0.7892, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.072, root_relative_squared_error: 0.7239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.321, kappa: 0.0164, kb_relative_information_score: 5.2595, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0263, prior_entropy: 6.6438, recall: 0.0263, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.6848, kappa: 0.6924, kb_relative_information_score: 1143.4972, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.6902, predictive_accuracy: 0.6954, prior_entropy: 6.6438, recall: 0.6954, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.7175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4211, kb_relative_information_score: 21.5903, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kappa: 0.0025, kb_relative_information_score: 42.8857, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0125, prior_entropy: 6.6438, recall: 0.0125, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1684, kappa: 0.0051, kb_relative_information_score: 6.172, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.015, prior_entropy: 6.6438, recall: 0.015, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8468, kappa: 0.8414, kb_relative_information_score: 970.2148, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8591, predictive_accuracy: 0.843, prior_entropy: 6.6438, recall: 0.843, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4043, kappa: -0.0038, kb_relative_information_score: 4.0233, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, kappa: 0.686, kb_relative_information_score: 885.7448, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6892, prior_entropy: 6.6438, recall: 0.6892, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.8758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7132, kappa: 0.7214, kb_relative_information_score: 1170.11, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7231, predictive_accuracy: 0.7242, prior_entropy: 6.6438, recall: 0.7242, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.6969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, kappa: -0.0003, kb_relative_information_score: 33.7614, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5255, kappa: -0.0092, kb_relative_information_score: 75.9121, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0006, prior_entropy: 6.6438, recall: 0.0006, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4132, kappa: -0.0035, kb_relative_information_score: 11.5844, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, kappa: 0.2097, kb_relative_information_score: 169.7201, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.2176, prior_entropy: 6.6438, recall: 0.2176, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, kappa: 0.1105, kb_relative_information_score: 0.1939, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.1194, prior_entropy: 6.6438, recall: 0.1194, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, kappa: 0.4852, kb_relative_information_score: 987.7972, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4903, prior_entropy: 6.6438, recall: 0.4903, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, kappa: -0.0009, kb_relative_information_score: 39.8749, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0088, prior_entropy: 6.6438, recall: 0.0088, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.4768, kappa: 0.5016, kb_relative_information_score: 1019.2884, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4723, predictive_accuracy: 0.5066, prior_entropy: 6.6438, recall: 0.5066, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.7985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, kappa: 0.0607, kb_relative_information_score: 182.5424, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.07, prior_entropy: 6.6438, recall: 0.07, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.689, kappa: 0.7056, kb_relative_information_score: 1123.755, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.6972, predictive_accuracy: 0.7086, prior_entropy: 6.6438, recall: 0.7086, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.7274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.7119, kappa: 0.6949, kb_relative_information_score: 1117.4215, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7561, predictive_accuracy: 0.6979, prior_entropy: 6.6438, recall: 0.6979, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.7258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, kappa: 0.7536, kb_relative_information_score: 1112.7507, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7561, prior_entropy: 6.6438, recall: 0.7561, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.7772, kappa: 0.7859, kb_relative_information_score: 1196.5008, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7904, predictive_accuracy: 0.788, prior_entropy: 6.6438, recall: 0.788, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.067, root_relative_squared_error: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4468, kb_relative_information_score: 22.1277, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3314, kappa: -0.0033, kb_relative_information_score: 39.712, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.7962, kappa: 0.7991, kb_relative_information_score: 0.5135, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8015, predictive_accuracy: 0.8011, prior_entropy: 6.6438, recall: 0.8011, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.7556, kappa: 0.7701, kb_relative_information_score: 1064.2533, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.775, predictive_accuracy: 0.7724, prior_entropy: 6.6438, recall: 0.7724, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.7748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.6828, kappa: 0.6987, kb_relative_information_score: 1138.4817, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7019, predictive_accuracy: 0.7017, prior_entropy: 6.6438, recall: 0.7017, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.6929, kappa: 0.7094, kb_relative_information_score: 985.7989, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7348, predictive_accuracy: 0.7123, prior_entropy: 6.6438, recall: 0.7123, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2309, kappa: 0.0003, kb_relative_information_score: 3.876, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.01, prior_entropy: 6.6438, recall: 0.01, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.7029, kappa: 0.7214, kb_relative_information_score: 1001.7401, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7458, predictive_accuracy: 0.7242, prior_entropy: 6.6438, recall: 0.7242, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.7106, kappa: 0.7183, kb_relative_information_score: 1183.1722, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7155, predictive_accuracy: 0.7211, prior_entropy: 6.6438, recall: 0.7211, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.6822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, kappa: 0.6361, kb_relative_information_score: 1113.7939, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6398, prior_entropy: 6.6438, recall: 0.6398, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.7373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, kappa: 0.4289, kb_relative_information_score: 925.9809, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4346, prior_entropy: 6.6438, recall: 0.4346, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3541, kappa: -0.0003, kb_relative_information_score: 3.0992, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, kappa: 0.6961, kb_relative_information_score: 953.2593, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6992, prior_entropy: 6.6438, recall: 0.6992, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.7697, kappa: 0.7688, kb_relative_information_score: 901.5535, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7796, predictive_accuracy: 0.7711, prior_entropy: 6.6438, recall: 0.7711, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, kappa: 0.2603, kb_relative_information_score: 495.9483, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.2677, prior_entropy: 6.6438, recall: 0.2677, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, kappa: 0.2028, kb_relative_information_score: 330.5812, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.2108, prior_entropy: 6.6438, recall: 0.2108, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.098, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.5949, kappa: 0.5717, kb_relative_information_score: 908.6223, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.6883, predictive_accuracy: 0.576, prior_entropy: 6.6438, recall: 0.576, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.8732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, kappa: 0.6052, kb_relative_information_score: 979.589, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6091, prior_entropy: 6.6438, recall: 0.6091, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, kappa: 0.0103, kb_relative_information_score: 49.5395, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.02, prior_entropy: 6.6438, recall: 0.02, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.855, kappa: 0.8497, kb_relative_information_score: 970.6533, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8686, predictive_accuracy: 0.8512, prior_entropy: 6.6438, recall: 0.8512, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, kappa: 0.6753, kb_relative_information_score: 900.3055, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6785, prior_entropy: 6.6438, recall: 0.6785, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.839, kappa: 0.8332, kb_relative_information_score: 962.345, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8518, predictive_accuracy: 0.8349, prior_entropy: 6.6438, recall: 0.8349, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8443, kappa: 0.8389, kb_relative_information_score: 971.8644, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8566, predictive_accuracy: 0.8405, prior_entropy: 6.6438, recall: 0.8405, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.6884, kappa: 0.7075, kb_relative_information_score: 1004.4175, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7223, predictive_accuracy: 0.7104, prior_entropy: 6.6438, recall: 0.7104, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2919, kappa: -0.0035, kb_relative_information_score: 11.8634, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, kappa: 0.784, kb_relative_information_score: 1110.1169, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7861, prior_entropy: 6.6438, recall: 0.7861, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, kappa: -0.0051, kb_relative_information_score: 6.4576, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.005, prior_entropy: 6.6438, recall: 0.005, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3189, kappa: -0.0035, kb_relative_information_score: 7.5812, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, kappa: 0.175, kb_relative_information_score: 0.1939, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.1832, prior_entropy: 6.6438, recall: 0.1832, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.8376, kappa: 0.8383, kb_relative_information_score: 0.8196, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8441, predictive_accuracy: 0.8399, prior_entropy: 6.6438, recall: 0.8399, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.6934, kappa: 0.7031, kb_relative_information_score: 1118.1447, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.702, predictive_accuracy: 0.7061, prior_entropy: 6.6438, recall: 0.7061, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8444, kappa: 0.8389, kb_relative_information_score: 970.1693, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8573, predictive_accuracy: 0.8405, prior_entropy: 6.6438, recall: 0.8405, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4688, kappa: 0.0025, kb_relative_information_score: 43.2639, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0125, prior_entropy: 6.6438, recall: 0.0125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, kb_relative_information_score: 31.7462, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, kappa: 0.1693, kb_relative_information_score: 200.4925, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.1776, prior_entropy: 6.6438, recall: 0.1776, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, kappa: 0.7423, kb_relative_information_score: 1040.3541, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7448, prior_entropy: 6.6438, recall: 0.7448, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, kappa: 0.0028, kb_relative_information_score: 65.1028, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0125, prior_entropy: 6.6438, recall: 0.0125, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, kappa: 0.6639, kb_relative_information_score: 1063.0437, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6673, prior_entropy: 6.6438, recall: 0.6673, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.7713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.7065, kappa: 0.7233, kb_relative_information_score: 1061.6401, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7271, predictive_accuracy: 0.7261, prior_entropy: 6.6438, recall: 0.7261, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, kappa: 0.235, kb_relative_information_score: 248.4805, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.2427, prior_entropy: 6.6438, recall: 0.2427, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.098, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7996, kappa: 0.8048, kb_relative_information_score: 1235.766, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8062, predictive_accuracy: 0.8068, prior_entropy: 6.6438, recall: 0.8068, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, kappa: 0.4328, kb_relative_information_score: 486.8169, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4384, prior_entropy: 6.6438, recall: 0.4384, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, kappa: 0.6658, kb_relative_information_score: 998.1053, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6692, prior_entropy: 6.6438, recall: 0.6692, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, kappa: 0.6614, kb_relative_information_score: 931.2099, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6648, prior_entropy: 6.6438, recall: 0.6648, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, kappa: 0.7574, kb_relative_information_score: 1112.2638, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7598, prior_entropy: 6.6438, recall: 0.7598, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.7404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.7727, kappa: 0.7682, kb_relative_information_score: 914.7355, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7884, predictive_accuracy: 0.7705, prior_entropy: 6.6438, recall: 0.7705, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.084, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.6848, kappa: 0.6924, kb_relative_information_score: 1143.4972, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.6902, predictive_accuracy: 0.6954, prior_entropy: 6.6438, recall: 0.6954, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.7175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.83, kappa: 0.8238, kb_relative_information_score: 953.835, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8455, predictive_accuracy: 0.8255, prior_entropy: 6.6438, recall: 0.8255, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.5531, kappa: 0.5205, kb_relative_information_score: 535.3155, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.63, predictive_accuracy: 0.5253, prior_entropy: 6.6438, recall: 0.5253, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3735, kappa: -0.0073, kb_relative_information_score: 33.9908, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0025, prior_entropy: 6.6438, recall: 0.0025, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.7216, kappa: 0.7296, kb_relative_information_score: 1190.2945, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7271, predictive_accuracy: 0.7323, prior_entropy: 6.6438, recall: 0.7323, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.6825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3329, kappa: -0.0035, kb_relative_information_score: 9.4519, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, kappa: 0.6917, kb_relative_information_score: 1010.1594, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6948, prior_entropy: 6.6438, recall: 0.6948, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8486, kappa: 0.844, kb_relative_information_score: 970.6936, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8614, predictive_accuracy: 0.8455, prior_entropy: 6.6438, recall: 0.8455, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8537, kappa: 0.8484, kb_relative_information_score: 933.9305, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8657, predictive_accuracy: 0.8499, prior_entropy: 6.6438, recall: 0.8499, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, kappa: 0.7094, kb_relative_information_score: 878.4147, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7123, prior_entropy: 6.6438, recall: 0.7123, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3262, kappa: -0.0101, kb_relative_information_score: 33.728, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, prior_entropy: 6.6438, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4206, kappa: -0.0038, kb_relative_information_score: 4.1865, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7884, kappa: 0.7991, kb_relative_information_score: 1177.6321, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7971, predictive_accuracy: 0.8011, prior_entropy: 6.6438, recall: 0.8011, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.6905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, kappa: 0.0714, kb_relative_information_score: 0.1939, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0807, prior_entropy: 6.6438, recall: 0.0807, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8483, kappa: 0.8427, kb_relative_information_score: 965.5231, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8608, predictive_accuracy: 0.8443, prior_entropy: 6.6438, recall: 0.8443, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3468, kappa: -0.0035, kb_relative_information_score: 21.6584, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, kappa: 0.6734, kb_relative_information_score: 903.5887, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6767, prior_entropy: 6.6438, recall: 0.6767, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.8693,

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