OpenML
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19089 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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19089 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.7671, kappa: 0.173, kb_relative_information_score: -8971.1207, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.773, predictive_accuracy: 0.8117, prior_entropy: 0.7088, recall: 0.8117, relative_absolute_error: 1.3639, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.7723, kappa: 0.1902, kb_relative_information_score: 670.3991, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7867, predictive_accuracy: 0.8178, prior_entropy: 0.7088, recall: 0.8178, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7856, kappa: 0.2464, kb_relative_information_score: 512.9674, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7881, predictive_accuracy: 0.8185, prior_entropy: 0.7088, recall: 0.8185, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7451, kappa: 0.0878, kb_relative_information_score: -11926.2602, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7716, predictive_accuracy: 0.8106, prior_entropy: 0.7088, recall: 0.8106, relative_absolute_error: 1.5348, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.2141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6284, f_measure: 0.7563, kappa: 0.1291, kb_relative_information_score: 545.337, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.776, predictive_accuracy: 0.8128, prior_entropy: 0.7088, recall: 0.8128, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.7199, kappa: -0.0011, kb_relative_information_score: -27.1321, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.668, predictive_accuracy: 0.8057, prior_entropy: 0.7088, recall: 0.8057, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4397, f_measure: 0.7161, kappa: -0.0164, kb_relative_information_score: -630.3471, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6672, predictive_accuracy: 0.7929, prior_entropy: 0.7088, recall: 0.7929, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4155, root_relative_squared_error: 1.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7707, kappa: 0.1849, kb_relative_information_score: 643.1964, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7815, predictive_accuracy: 0.8156, prior_entropy: 0.7088, recall: 0.8156, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -11.1225, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.77, kappa: 0.1816, kb_relative_information_score: 645.78, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7838, predictive_accuracy: 0.8165, prior_entropy: 0.7088, recall: 0.8165, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3905, f_measure: 0.7226, kappa: 0.0086, kb_relative_information_score: 40.0218, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8059, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.763, kappa: 0.1542, kb_relative_information_score: 741.1809, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7827, predictive_accuracy: 0.8154, prior_entropy: 0.7088, recall: 0.8154, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.7629, kappa: 0.1561, kb_relative_information_score: -8705.7585, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7716, predictive_accuracy: 0.8114, prior_entropy: 0.7088, recall: 0.8114, relative_absolute_error: 1.3475, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4305, root_relative_squared_error: 1.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3949, kb_relative_information_score: 325.8448, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3978, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4244, kb_relative_information_score: -927.136, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.7357, kappa: 0.0539, kb_relative_information_score: 309.6597, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7871, predictive_accuracy: 0.8106, prior_entropy: 0.7088, recall: 0.8106, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.783, kappa: 0.2342, kb_relative_information_score: 869.7276, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7887, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7714, kappa: 0.1869, kb_relative_information_score: 687.2464, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.785, predictive_accuracy: 0.8171, prior_entropy: 0.7088, recall: 0.8171, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, kb_relative_information_score: -115.2939, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.7325, kappa: 0.0428, kb_relative_information_score: 315.1281, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.794, predictive_accuracy: 0.8101, prior_entropy: 0.7088, recall: 0.8101, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.7279, kappa: 0.0265, kb_relative_information_score: 259.4134, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.759, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.7437, kappa: 0.0826, kb_relative_information_score: 382.5722, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7721, predictive_accuracy: 0.8105, prior_entropy: 0.7088, recall: 0.8105, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7837, kappa: 0.2359, kb_relative_information_score: 875.2215, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7912, predictive_accuracy: 0.8205, prior_entropy: 0.7088, recall: 0.8205, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7344, kappa: 0.0492, kb_relative_information_score: -48.415, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7384, predictive_accuracy: 0.8037, prior_entropy: 0.7088, recall: 0.8037, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.9779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7729, kappa: 0.1934, kb_relative_information_score: 642.6956, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7839, predictive_accuracy: 0.8167, prior_entropy: 0.7088, recall: 0.8167, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7724, kappa: 0.2009, kb_relative_information_score: -11266.5076, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7681, predictive_accuracy: 0.8062, prior_entropy: 0.7088, recall: 0.8062, relative_absolute_error: 1.492, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4674, root_relative_squared_error: 1.1833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.7399, kappa: 0.0689, kb_relative_information_score: -154.7432, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7656, predictive_accuracy: 0.809, prior_entropy: 0.7088, recall: 0.809, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.9738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7714, kappa: 0.1867, kb_relative_information_score: 650.862, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7852, predictive_accuracy: 0.8172, prior_entropy: 0.7088, recall: 0.8172, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.768, kappa: 0.1733, kb_relative_information_score: 681.044, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7849, predictive_accuracy: 0.8167, prior_entropy: 0.7088, recall: 0.8167, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7706, kappa: 0.1841, kb_relative_information_score: 674.8835, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7833, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7781, kappa: 0.2124, kb_relative_information_score: 724.7835, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7911, predictive_accuracy: 0.8201, prior_entropy: 0.7088, recall: 0.8201, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.7878, kappa: 0.258, kb_relative_information_score: 862.7642, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.817, prior_entropy: 0.7088, recall: 0.817, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.7366, kappa: 0.057, kb_relative_information_score: 326.5463, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7778, predictive_accuracy: 0.81, prior_entropy: 0.7088, recall: 0.81, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7662, kappa: 0.1666, kb_relative_information_score: 576.5879, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7827, predictive_accuracy: 0.8158, prior_entropy: 0.7088, recall: 0.8158, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 110.1879, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.396, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7654, kappa: 0.1642, kb_relative_information_score: 598.5293, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7793, predictive_accuracy: 0.8145, prior_entropy: 0.7088, recall: 0.8145, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 0.9414, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.7714, kappa: 0.1867, kb_relative_information_score: 675.1548, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7862, predictive_accuracy: 0.8175, prior_entropy: 0.7088, recall: 0.8175, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7797, kappa: 0.2196, kb_relative_information_score: 707.9399, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7895, predictive_accuracy: 0.8196, prior_entropy: 0.7088, recall: 0.8196, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.7206, kappa: 0.0015, kb_relative_information_score: 13.2553, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8441, predictive_accuracy: 0.8067, prior_entropy: 0.7088, recall: 0.8067, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.7215, kappa: 0.0046, kb_relative_information_score: 24.287, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8443, predictive_accuracy: 0.8071, prior_entropy: 0.7088, recall: 0.8071, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.7222, kappa: 0.0066, kb_relative_information_score: -301.7937, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7218, predictive_accuracy: 0.8055, prior_entropy: 0.7088, recall: 0.8055, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7384, kappa: 0.0636, kb_relative_information_score: 617.1456, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7806, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5374, f_measure: 0.7225, kappa: 0.008, kb_relative_information_score: 29.1248, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8148, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.7208, kappa: 0.0021, kb_relative_information_score: 22.282, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7958, predictive_accuracy: 0.8067, prior_entropy: 0.7088, recall: 0.8067, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.782, kappa: 0.2492, kb_relative_information_score: -7395.1423, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7745, predictive_accuracy: 0.804, prior_entropy: 0.7088, recall: 0.804, relative_absolute_error: 1.2907, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.428, root_relative_squared_error: 1.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 0.9414, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, kb_relative_information_score: -6988.7523, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 1.2606, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4116, root_relative_squared_error: 1.0421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.7421, kappa: 0.077, kb_relative_information_score: -2355.8441, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7633, predictive_accuracy: 0.8087, prior_entropy: 0.7088, recall: 0.8087, relative_absolute_error: 1.0612, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.9656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4593, kb_relative_information_score: -184.2202, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.7237, kappa: 0.0119, kb_relative_information_score: -254.5039, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7354, predictive_accuracy: 0.8059, prior_entropy: 0.7088, recall: 0.8059, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3865, kb_relative_information_score: -1117.1139, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 1.0221, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7695, kappa: 0.1795, kb_relative_information_score: 615.3304, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7835, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, f_measure: 0.7393, kappa: 0.0666, kb_relative_information_score: -130.9675, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7884, predictive_accuracy: 0.8116, prior_entropy: 0.7088, recall: 0.8116, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.385, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.7382, kappa: 0.0628, kb_relative_information_score: 335.7276, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.811, prior_entropy: 0.7088, recall: 0.811, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7724, kappa: 0.191, kb_relative_information_score: 614.6105, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7853, predictive_accuracy: 0.8173, prior_entropy: 0.7088, recall: 0.8173, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, kb_relative_information_score: 0.6641, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3963, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7831, kappa: 0.2351, kb_relative_information_score: 839.9274, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7875, predictive_accuracy: 0.8184, prior_entropy: 0.7088, recall: 0.8184, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7617, kappa: 0.1503, kb_relative_information_score: 584.49, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7752, predictive_accuracy: 0.8129, prior_entropy: 0.7088, recall: 0.8129, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4557, kb_relative_information_score: 440.0061, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3996, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7784, kappa: 0.2144, kb_relative_information_score: 560.5541, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7887, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7699, kappa: 0.1814, kb_relative_information_score: 668.9728, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7836, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.7393, kappa: 0.0666, kb_relative_information_score: -77.3292, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7884, predictive_accuracy: 0.8116, prior_entropy: 0.7088, recall: 0.8116, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.9753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.769, kappa: 0.1785, kb_relative_information_score: 630.0851, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7805, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.7376, kappa: 0.0608, kb_relative_information_score: 370.0991, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7814, predictive_accuracy: 0.8106, prior_entropy: 0.7088, recall: 0.8106, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.387, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.7363, kappa: 0.0561, kb_relative_information_score: 296.454, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.8106, prior_entropy: 0.7088, recall: 0.8106, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.7391, kappa: 0.0661, kb_relative_information_score: -93.9541, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7743, predictive_accuracy: 0.8101, prior_entropy: 0.7088, recall: 0.8101, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.7264, kappa: 0.0215, kb_relative_information_score: -809.145, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.775, predictive_accuracy: 0.8078, prior_entropy: 0.7088, recall: 0.8078, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7844, kappa: 0.2433, kb_relative_information_score: 776.3155, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7848, predictive_accuracy: 0.8163, prior_entropy: 0.7088, recall: 0.8163, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.7729, kappa: 0.2334, kb_relative_information_score: 443.1287, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.764, predictive_accuracy: 0.7878, prior_entropy: 0.7088, recall: 0.7878, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3959, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.7403, kappa: 0.0701, kb_relative_information_score: -93.6662, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7709, predictive_accuracy: 0.8098, prior_entropy: 0.7088, recall: 0.8098, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.9738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7883, kappa: 0.2556, kb_relative_information_score: 692.8012, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7921, predictive_accuracy: 0.8209, prior_entropy: 0.7088, recall: 0.8209, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, f_measure: 0.774, kappa: 0.2356, kb_relative_information_score: -7743.2176, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7651, predictive_accuracy: 0.7894, prior_entropy: 0.7088, recall: 0.7894, relative_absolute_error: 1.3152, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.434, root_relative_squared_error: 1.0987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, kb_relative_information_score: 353.1904, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3991, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.7388, kappa: 0.065, kb_relative_information_score: 392.3176, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7866, predictive_accuracy: 0.8113, prior_entropy: 0.7088, recall: 0.8113, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.9812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7838, kappa: 0.2401, kb_relative_information_score: 771.7722, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7852, predictive_accuracy: 0.8167, prior_entropy: 0.7088, recall: 0.8167, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7849, kappa: 0.25, kb_relative_information_score: 707.4858, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8129, prior_entropy: 0.7088, recall: 0.8129, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.7821, kappa: 0.2421, kb_relative_information_score: -10029.1477, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7771, predictive_accuracy: 0.8092, prior_entropy: 0.7088, recall: 0.8092, relative_absolute_error: 1.4273, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7117, kappa: 0.0004, kb_relative_information_score: -2227.6796, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.688, predictive_accuracy: 0.7453, prior_entropy: 0.7088, recall: 0.7453, relative_absolute_error: 1.1581, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4701, root_relative_squared_error: 1.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7348, kappa: 0.0508, kb_relative_information_score: 283.0262, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7799, predictive_accuracy: 0.8098, prior_entropy: 0.7088, recall: 0.8098, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.7393, kappa: 0.0666, kb_relative_information_score: -124.4897, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7884, predictive_accuracy: 0.8116, prior_entropy: 0.7088, recall: 0.8116, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.385, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4564, f_measure: 0.7208, kappa: 0.0023, kb_relative_information_score: -289.1483, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8441, predictive_accuracy: 0.8068, prior_entropy: 0.7088, recall: 0.8068, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3965, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.7214, kappa: 0.0036, kb_relative_information_score: -142.6686, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.706, predictive_accuracy: 0.8049, prior_entropy: 0.7088, recall: 0.8049, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.776, kappa: 0.2053, kb_relative_information_score: 708.1139, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7861, predictive_accuracy: 0.8178, prior_entropy: 0.7088, recall: 0.8178, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.7218, kappa: 0.0057, kb_relative_information_score: 46.8803, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8057, predictive_accuracy: 0.8071, prior_entropy: 0.7088, recall: 0.8071, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7487, kappa: 0.1022, kb_relative_information_score: 98.1826, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7579, predictive_accuracy: 0.8071, prior_entropy: 0.7088, recall: 0.8071, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.9682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.7664, kappa: 0.1679, kb_relative_information_score: 625.7293, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7806, predictive_accuracy: 0.8151, prior_entropy: 0.7088, recall: 0.8151, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7358, kappa: 0.0544, kb_relative_information_score: 299.0659, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7795, predictive_accuracy: 0.81, prior_entropy: 0.7088, recall: 0.81, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.7769, kappa: 0.211, kb_relative_information_score: 690.8402, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7818, predictive_accuracy: 0.8155, prior_entropy: 0.7088, recall: 0.8155, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.7865, kappa: 0.2571, kb_relative_information_score: -12053.526, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7827, predictive_accuracy: 0.813, prior_entropy: 0.7088, recall: 0.813, relative_absolute_error: 1.5436, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4823, root_relative_squared_error: 1.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.7392, kappa: 0.0663, kb_relative_information_score: 366.8523, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7773, predictive_accuracy: 0.8105, prior_entropy: 0.7088, recall: 0.8105, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.7766, kappa: 0.2073, kb_relative_information_score: 792.2604, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8186, prior_entropy: 0.7088, recall: 0.8186, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kb_relative_information_score: 3.1743, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, kb_relative_information_score: 8.4717, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.479, f_measure: 0.7215, kappa: 0.0046, kb_relative_information_score: 23.3534, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8443, predictive_accuracy: 0.8071, prior_entropy: 0.7088, recall: 0.8071, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7787, kappa: 0.222, kb_relative_information_score: -9564.0004, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7782, predictive_accuracy: 0.8126, prior_entropy: 0.7088, recall: 0.8126, relative_absolute_error: 1.398, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4439, root_relative_squared_error: 1.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.7396, kappa: 0.0676, kb_relative_information_score: -85.1838, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7876, predictive_accuracy: 0.8116, prior_entropy: 0.7088, recall: 0.8116, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5806, f_measure: 0.7217, kappa: 0.0054, kb_relative_information_score: 31.9593, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8444, predictive_accuracy: 0.8072, prior_entropy: 0.7088, recall: 0.8072, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7748, kappa: 0.2008, kb_relative_information_score: 757.6869, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7856, predictive_accuracy: 0.8175, prior_entropy: 0.7088, recall: 0.8175, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7639, kappa: 0.1596, kb_relative_information_score: -10744.0108, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.774, predictive_accuracy: 0.8124, prior_entropy: 0.7088, recall: 0.8124, relative_absolute_error: 1.4624, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4597, root_relative_squared_error: 1.1637,

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

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

OpenML APIs