Task
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13719 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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13719 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8376, kappa: 0.8365, kb_relative_information_score: 1340.4348, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8418, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8319, kappa: 0.8295, kb_relative_information_score: 1329.4108, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8382, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, kappa: 0.0057, kb_relative_information_score: 21.5627, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0156, prior_entropy: 6.6439, recall: 0.0156, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1403, root_relative_squared_error: 1.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8318, kappa: 0.8295, kb_relative_information_score: 1329.4108, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8376, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, kappa: 0.0341, kb_relative_information_score: 66.6609, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0438, prior_entropy: 6.6439, recall: 0.0438, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1383, root_relative_squared_error: 1.3899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8328, kappa: 0.8302, kb_relative_information_score: 1330.4129, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8394, predictive_accuracy: 0.8319, prior_entropy: 6.6439, recall: 0.8319, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.058, root_relative_squared_error: 0.5828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5331, kappa: 0.0663, kb_relative_information_score: 117.7722, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0756, prior_entropy: 6.6439, recall: 0.0756, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.136, root_relative_squared_error: 1.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8383, kappa: 0.8365, kb_relative_information_score: 1340.4348, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8448, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8352, kappa: 0.8333, kb_relative_information_score: 1335.4238, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8426, predictive_accuracy: 0.835, prior_entropy: 6.6439, recall: 0.835, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.5774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8306, kappa: 0.8277, kb_relative_information_score: 1326.4042, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8382, predictive_accuracy: 0.8294, prior_entropy: 6.6439, recall: 0.8294, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8348, kappa: 0.8327, kb_relative_information_score: 1334.4217, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8428, predictive_accuracy: 0.8344, prior_entropy: 6.6439, recall: 0.8344, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.5784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8475, kappa: 0.846, kb_relative_information_score: 1355.4675, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8516, predictive_accuracy: 0.8475, prior_entropy: 6.6439, recall: 0.8475, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.5551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8379, kappa: 0.8365, kb_relative_information_score: 1340.4348, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8424, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.822, kappa: 0.8188, kb_relative_information_score: 1312.3737, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8307, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8376, kappa: 0.8359, kb_relative_information_score: 1339.4326, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8447, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, kappa: 0.0139, kb_relative_information_score: 34.5911, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0238, prior_entropy: 6.6439, recall: 0.0238, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1397, root_relative_squared_error: 1.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8442, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8493, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7789, kappa: 0.7633, kb_relative_information_score: 1224.1816, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8092, predictive_accuracy: 0.7656, prior_entropy: 6.6439, recall: 0.7656, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.6881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8273, kappa: 0.8239, kb_relative_information_score: 1320.3911, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8353, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.5935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, kappa: 0.2001, kb_relative_information_score: 330.2349, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2081, prior_entropy: 6.6439, recall: 0.2081, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1258, root_relative_squared_error: 1.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.2393, kappa: 0.2178, kb_relative_information_score: 358.296, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3067, predictive_accuracy: 0.2256, prior_entropy: 6.6439, recall: 0.2256, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1244, root_relative_squared_error: 1.2508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, kappa: 0.0537, kb_relative_information_score: 97.7286, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0631, prior_entropy: 6.6439, recall: 0.0631, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1369, root_relative_squared_error: 1.3757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8397, kappa: 0.8384, kb_relative_information_score: 1343.4413, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.844, predictive_accuracy: 0.84, prior_entropy: 6.6439, recall: 0.84, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.7581, kappa: 0.7494, kb_relative_information_score: 1202.1336, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7808, predictive_accuracy: 0.7519, prior_entropy: 6.6439, recall: 0.7519, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.7859, kappa: 0.774, kb_relative_information_score: 1241.2187, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8103, predictive_accuracy: 0.7763, prior_entropy: 6.6439, recall: 0.7763, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.6723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, kappa: 0.1982, kb_relative_information_score: 327.2283, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2063, prior_entropy: 6.6439, recall: 0.2063, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.126, root_relative_squared_error: 1.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, f_measure: 0.2629, kappa: 0.2399, kb_relative_information_score: 393.3724, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3234, predictive_accuracy: 0.2475, prior_entropy: 6.6439, recall: 0.2475, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1227, root_relative_squared_error: 1.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.5625, kappa: 0.5537, kb_relative_information_score: 891.457, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5854, predictive_accuracy: 0.5581, prior_entropy: 6.6439, recall: 0.5581, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.094, root_relative_squared_error: 0.9448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7447, kappa: 0.7115, kb_relative_information_score: 1142.0026, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8021, predictive_accuracy: 0.7144, prior_entropy: 6.6439, recall: 0.7144, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2194, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2984, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.7893, kappa: 0.7778, kb_relative_information_score: 1247.2318, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8129, predictive_accuracy: 0.78, prior_entropy: 6.6439, recall: 0.78, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kappa: 0.0088, kb_relative_information_score: 26.5736, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0188, prior_entropy: 6.6439, recall: 0.0188, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1401, root_relative_squared_error: 1.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8432, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8498, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7789, kappa: 0.7633, kb_relative_information_score: 1224.1816, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8094, predictive_accuracy: 0.7656, prior_entropy: 6.6439, recall: 0.7656, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.6881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8357, kappa: 0.8333, kb_relative_information_score: 1335.4238, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8419, predictive_accuracy: 0.835, prior_entropy: 6.6439, recall: 0.835, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.5774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8322, kappa: 0.8308, kb_relative_information_score: 1331.4151, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8396, predictive_accuracy: 0.8325, prior_entropy: 6.6439, recall: 0.8325, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.5817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, kappa: 0.048, kb_relative_information_score: 88.7089, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0575, prior_entropy: 6.6439, recall: 0.0575, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1373, root_relative_squared_error: 1.3799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.5431, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, kappa: 0.065, kb_relative_information_score: 115.7679, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0744, prior_entropy: 6.6439, recall: 0.0744, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1361, root_relative_squared_error: 1.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, kappa: 0.0486, kb_relative_information_score: 89.7111, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0581, prior_entropy: 6.6439, recall: 0.0581, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1372, root_relative_squared_error: 1.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, kappa: 0.06, kb_relative_information_score: 107.7504, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0694, prior_entropy: 6.6439, recall: 0.0694, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1364, root_relative_squared_error: 1.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8379, kappa: 0.8365, kb_relative_information_score: 1340.4348, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.842, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, kappa: 0.0095, kb_relative_information_score: 27.5758, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0194, prior_entropy: 6.6439, recall: 0.0194, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.14, root_relative_squared_error: 1.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8374, kappa: 0.8359, kb_relative_information_score: 1339.4326, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8416, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8381, kappa: 0.8371, kb_relative_information_score: 1341.4369, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8425, predictive_accuracy: 0.8388, prior_entropy: 6.6439, recall: 0.8388, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.7803, kappa: 0.7652, kb_relative_information_score: 1227.1881, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8097, predictive_accuracy: 0.7675, prior_entropy: 6.6439, recall: 0.7675, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.6853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.2309, kappa: 0.2096, kb_relative_information_score: 345.2676, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2951, predictive_accuracy: 0.2175, prior_entropy: 6.6439, recall: 0.2175, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1251, root_relative_squared_error: 1.2573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, kappa: 0.1155, kb_relative_information_score: 195.9425, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1244, prior_entropy: 6.6439, recall: 0.1244, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1323, root_relative_squared_error: 1.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.4871, kappa: 0.3788, kb_relative_information_score: 613.8525, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7776, predictive_accuracy: 0.385, prior_entropy: 6.6439, recall: 0.385, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1109, root_relative_squared_error: 1.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.3442, kappa: 0.3277, kb_relative_information_score: 532.6757, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3822, predictive_accuracy: 0.3344, prior_entropy: 6.6439, recall: 0.3344, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1154, root_relative_squared_error: 1.1596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, kappa: 0.0063, kb_relative_information_score: 22.5649, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0163, prior_entropy: 6.6439, recall: 0.0163, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1403, root_relative_squared_error: 1.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, kappa: 0.1982, kb_relative_information_score: 327.2283, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2063, prior_entropy: 6.6439, recall: 0.2063, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.126, root_relative_squared_error: 1.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.838, kappa: 0.8365, kb_relative_information_score: 1340.4348, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8429, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2192, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.298, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, kappa: 0.1982, kb_relative_information_score: 327.2283, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2063, prior_entropy: 6.6439, recall: 0.2063, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.126, root_relative_squared_error: 1.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, kappa: 0.1572, kb_relative_information_score: 262.0865, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1656, prior_entropy: 6.6439, recall: 0.1656, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1292, root_relative_squared_error: 1.2983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, kappa: 0.0126, kb_relative_information_score: 32.5867, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0225, prior_entropy: 6.6439, recall: 0.0225, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1398, root_relative_squared_error: 1.4053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, kappa: 0.2001, kb_relative_information_score: 330.2349, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2081, prior_entropy: 6.6439, recall: 0.2081, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1258, root_relative_squared_error: 1.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.847, kappa: 0.8453, kb_relative_information_score: 1354.4653, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8513, predictive_accuracy: 0.8469, prior_entropy: 6.6439, recall: 0.8469, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, kappa: 0.2178, kb_relative_information_score: 358.296, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2256, prior_entropy: 6.6439, recall: 0.2256, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1244, root_relative_squared_error: 1.2508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, kappa: 0.1976, kb_relative_information_score: 326.2262, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2056, prior_entropy: 6.6439, recall: 0.2056, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.126, root_relative_squared_error: 1.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8391, kappa: 0.8378, kb_relative_information_score: 1342.4391, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8426, predictive_accuracy: 0.8394, prior_entropy: 6.6439, recall: 0.8394, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8189, kappa: 0.8176, kb_relative_information_score: 1310.3693, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8269, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.6041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.5075, kappa: 0.3996, kb_relative_information_score: 646.9245, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7788, predictive_accuracy: 0.4056, prior_entropy: 6.6439, recall: 0.4056, relative_absolute_error: 0.6004, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.109, root_relative_squared_error: 1.0958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8238, kappa: 0.8213, kb_relative_information_score: 1316.3824, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.831, predictive_accuracy: 0.8231, prior_entropy: 6.6439, recall: 0.8231, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.5978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, kappa: 0.0429, kb_relative_information_score: 80.6915, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0525, prior_entropy: 6.6439, recall: 0.0525, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1377, root_relative_squared_error: 1.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, kappa: 0.1976, kb_relative_information_score: 326.2262, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2056, prior_entropy: 6.6439, recall: 0.2056, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.126, root_relative_squared_error: 1.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.838, kappa: 0.8365, kb_relative_information_score: 1340.4348, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8424, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8397, kappa: 0.8384, kb_relative_information_score: 1343.4413, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8439, predictive_accuracy: 0.84, prior_entropy: 6.6439, recall: 0.84, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, kappa: 0.0795, kb_relative_information_score: 138.8181, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0888, prior_entropy: 6.6439, recall: 0.0888, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.135, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, kappa: 0.1982, kb_relative_information_score: 327.2283, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2063, prior_entropy: 6.6439, recall: 0.2063, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.126, root_relative_squared_error: 1.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, kappa: 0.1951, kb_relative_information_score: 322.2174, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2031, prior_entropy: 6.6439, recall: 0.2031, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1262, root_relative_squared_error: 1.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.834, kappa: 0.8321, kb_relative_information_score: 1333.4195, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8393, predictive_accuracy: 0.8338, prior_entropy: 6.6439, recall: 0.8338, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8164, kappa: 0.8119, kb_relative_information_score: 1301.3496, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8275, predictive_accuracy: 0.8138, prior_entropy: 6.6439, recall: 0.8138, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.061, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8319, kappa: 0.8295, kb_relative_information_score: 1329.4108, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.838, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, kappa: 0.017, kb_relative_information_score: 39.602, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0269, prior_entropy: 6.6439, recall: 0.0269, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1395, root_relative_squared_error: 1.4021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8221, kappa: 0.8194, kb_relative_information_score: 1313.3758, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8292, predictive_accuracy: 0.8213, prior_entropy: 6.6439, recall: 0.8213, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.838, kappa: 0.8365, kb_relative_information_score: 1340.4348, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8417, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, kappa: 0.0511, kb_relative_information_score: 93.7198, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0606, prior_entropy: 6.6439, recall: 0.0606, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1371, root_relative_squared_error: 1.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8337, kappa: 0.8321, kb_relative_information_score: 1333.4195, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8404, predictive_accuracy: 0.8338, prior_entropy: 6.6439, recall: 0.8338, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, kappa: 0.0436, kb_relative_information_score: 81.6937, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0531, prior_entropy: 6.6439, recall: 0.0531, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1376, root_relative_squared_error: 1.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8395, kappa: 0.8359, kb_relative_information_score: 1339.4326, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8479, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8385, kappa: 0.8365, kb_relative_information_score: 1340.4348, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8454, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, kappa: 0.2045, kb_relative_information_score: 337.2502, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2125, prior_entropy: 6.6439, recall: 0.2125, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1255, root_relative_squared_error: 1.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.2283, kappa: 0.2071, kb_relative_information_score: 341.2589, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2985, predictive_accuracy: 0.215, prior_entropy: 6.6439, recall: 0.215, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1253, root_relative_squared_error: 1.2593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8382, kappa: 0.8365, kb_relative_information_score: 1340.4348, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.842, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8406, kappa: 0.839, kb_relative_information_score: 1344.4435, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8454, predictive_accuracy: 0.8406, prior_entropy: 6.6439, recall: 0.8406, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.771, kappa: 0.7563, kb_relative_information_score: 1213.1576, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8077, predictive_accuracy: 0.7588, prior_entropy: 6.6439, recall: 0.7588, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.6981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8187, kappa: 0.8112, kb_relative_information_score: 1300.3475, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8339, predictive_accuracy: 0.8131, prior_entropy: 6.6439, recall: 0.8131, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.6144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, kappa: 0.0448, kb_relative_information_score: 83.698, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0544, prior_entropy: 6.6439, recall: 0.0544, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1375, root_relative_squared_error: 1.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8397, kappa: 0.8384, kb_relative_information_score: 1343.4413, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.844, predictive_accuracy: 0.84, prior_entropy: 6.6439, recall: 0.84, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kappa: 0.0044, kb_relative_information_score: 19.5584, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0144, prior_entropy: 6.6439, recall: 0.0144, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, kappa: 0.0095, kb_relative_information_score: 27.5758, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0194, prior_entropy: 6.6439, recall: 0.0194, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.14, root_relative_squared_error: 1.4075,

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