Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 146817 Supervised Classification steel-plates-fault 9051 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7522, kappa: 0.6822, kb_relative_information_score: 0.7205, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7525, predictive_accuracy: 0.7527, prior_entropy: 2.4107, recall: 0.7527, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.6898, kb_relative_information_score: 0.7211, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7628, predictive_accuracy: 0.7615, prior_entropy: 2.4107, recall: 0.7615, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7343, kappa: 0.6618, kb_relative_information_score: 0.7046, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7372, predictive_accuracy: 0.7357, prior_entropy: 2.4107, recall: 0.7357, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7381, kappa: 0.6611, kb_relative_information_score: 0.6951, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7448, predictive_accuracy: 0.7388, prior_entropy: 2.4107, recall: 0.7388, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7282, kappa: 0.6537, kb_relative_information_score: 0.6968, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7317, predictive_accuracy: 0.729, prior_entropy: 2.4107, recall: 0.729, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.8347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.7597, kappa: 0.6907, kb_relative_information_score: 0.7307, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7609, predictive_accuracy: 0.7594, prior_entropy: 2.4107, recall: 0.7594, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7601, kappa: 0.6914, kb_relative_information_score: 0.7325, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.761, predictive_accuracy: 0.7599, prior_entropy: 2.4107, recall: 0.7599, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7091, kappa: 0.6249, kb_relative_information_score: 0.6601, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7145, predictive_accuracy: 0.712, prior_entropy: 2.4107, recall: 0.712, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7158, kappa: 0.6337, kb_relative_information_score: 0.674, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7169, predictive_accuracy: 0.7156, prior_entropy: 2.4107, recall: 0.7156, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7228, kappa: 0.6421, kb_relative_information_score: 0.6813, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.724, predictive_accuracy: 0.7228, prior_entropy: 2.4107, recall: 0.7228, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.8442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, kappa: 0.5073, kb_relative_information_score: 0.5243, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.6368, prior_entropy: 2.4107, recall: 0.6368, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7114, kappa: 0.6282, kb_relative_information_score: 0.6676, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7127, predictive_accuracy: 0.711, prior_entropy: 2.4107, recall: 0.711, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.5958, kappa: 0.4752, kb_relative_information_score: 0.5108, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7338, predictive_accuracy: 0.6265, prior_entropy: 2.4107, recall: 0.6265, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.5173, kappa: 0.3889, kb_relative_information_score: 0.4335, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7204, predictive_accuracy: 0.5739, prior_entropy: 2.4107, recall: 0.5739, relative_absolute_error: 0.5475, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.0466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.4545, kappa: 0.3291, kb_relative_information_score: 0.3849, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7689, predictive_accuracy: 0.5394, prior_entropy: 2.4107, recall: 0.5394, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3628, root_relative_squared_error: 1.0882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.4713, kappa: 0.3453, kb_relative_information_score: 0.398, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7379, predictive_accuracy: 0.5487, prior_entropy: 2.4107, recall: 0.5487, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3591, root_relative_squared_error: 1.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.5122, kappa: 0.3823, kb_relative_information_score: 0.4283, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7175, predictive_accuracy: 0.5698, prior_entropy: 2.4107, recall: 0.5698, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7635, kappa: 0.6944, kb_relative_information_score: 0.7321, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7654, predictive_accuracy: 0.763, prior_entropy: 2.4107, recall: 0.763, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7614, kappa: 0.6935, kb_relative_information_score: 0.734, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7625, predictive_accuracy: 0.7615, prior_entropy: 2.4107, recall: 0.7615, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7652, kappa: 0.6965, kb_relative_information_score: 0.7341, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7668, predictive_accuracy: 0.7646, prior_entropy: 2.4107, recall: 0.7646, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7274, kappa: 0.653, kb_relative_information_score: 0.6975, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7299, predictive_accuracy: 0.7285, prior_entropy: 2.4107, recall: 0.7285, relative_absolute_error: 0.3489, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7563, kappa: 0.6848, kb_relative_information_score: 0.7219, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7592, predictive_accuracy: 0.7558, prior_entropy: 2.4107, recall: 0.7558, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.723, kappa: 0.6461, kb_relative_information_score: 0.6922, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7243, predictive_accuracy: 0.7239, prior_entropy: 2.4107, recall: 0.7239, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7097, kappa: 0.6307, kb_relative_information_score: 0.6805, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7119, predictive_accuracy: 0.711, prior_entropy: 2.4107, recall: 0.711, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7317, kappa: 0.6582, kb_relative_information_score: 0.7027, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7343, predictive_accuracy: 0.7326, prior_entropy: 2.4107, recall: 0.7326, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7151, kappa: 0.637, kb_relative_information_score: 0.6836, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7168, predictive_accuracy: 0.7166, prior_entropy: 2.4107, recall: 0.7166, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.683, kappa: 0.5964, kb_relative_information_score: 0.6501, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6844, predictive_accuracy: 0.6842, prior_entropy: 2.4107, recall: 0.6842, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7559, kappa: 0.6874, kb_relative_information_score: 0.7258, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7572, predictive_accuracy: 0.7563, prior_entropy: 2.4107, recall: 0.7563, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7706, kappa: 0.7054, kb_relative_information_score: 0.7418, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7716, predictive_accuracy: 0.7707, prior_entropy: 2.4107, recall: 0.7707, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.772, kappa: 0.7071, kb_relative_information_score: 0.7436, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.773, predictive_accuracy: 0.7723, prior_entropy: 2.4107, recall: 0.7723, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.7651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7701, kappa: 0.7047, kb_relative_information_score: 0.7416, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.771, predictive_accuracy: 0.7702, prior_entropy: 2.4107, recall: 0.7702, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7671, kappa: 0.7014, kb_relative_information_score: 0.7396, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7688, predictive_accuracy: 0.7671, prior_entropy: 2.4107, recall: 0.7671, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.3095, kappa: 0.0971, kb_relative_information_score: 0.1851, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.3328, predictive_accuracy: 0.3318, prior_entropy: 2.4107, recall: 0.3318, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.4369, root_relative_squared_error: 1.3107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.754, kappa: 0.6842, kb_relative_information_score: 0.7227, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7545, predictive_accuracy: 0.7543, prior_entropy: 2.4107, recall: 0.7543, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.265, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7558, kappa: 0.6861, kb_relative_information_score: 0.7235, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7568, predictive_accuracy: 0.7558, prior_entropy: 2.4107, recall: 0.7558, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.6866, kappa: 0.6024, kb_relative_information_score: 0.6521, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6866, predictive_accuracy: 0.6888, prior_entropy: 2.4107, recall: 0.6888, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.7154, kappa: 0.6377, kb_relative_information_score: 0.6843, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.718, predictive_accuracy: 0.7161, prior_entropy: 2.4107, recall: 0.7161, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, kappa: 0.3097, kb_relative_information_score: 0.3638, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.526, prior_entropy: 2.4107, recall: 0.526, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.368, root_relative_squared_error: 1.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7548, kappa: 0.6852, kb_relative_information_score: 0.7264, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7561, predictive_accuracy: 0.7548, prior_entropy: 2.4107, recall: 0.7548, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7501, kappa: 0.6765, kb_relative_information_score: 0.7156, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7518, predictive_accuracy: 0.7491, prior_entropy: 2.4107, recall: 0.7491, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7557, kappa: 0.684, kb_relative_information_score: 0.7217, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7579, predictive_accuracy: 0.7548, prior_entropy: 2.4107, recall: 0.7548, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7534, kappa: 0.6809, kb_relative_information_score: 0.7205, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.756, predictive_accuracy: 0.7527, prior_entropy: 2.4107, recall: 0.7527, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7111, kappa: 0.6325, kb_relative_information_score: 0.681, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7137, predictive_accuracy: 0.7125, prior_entropy: 2.4107, recall: 0.7125, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, kappa: 0.2674, kb_relative_information_score: 0.3252, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.5023, prior_entropy: 2.4107, recall: 0.5023, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3771, root_relative_squared_error: 1.1312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.425, f_measure: 0.064, kappa: -0.1479, kb_relative_information_score: -0.0855, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.1307, predictive_accuracy: 0.0675, prior_entropy: 2.4107, recall: 0.0675, relative_absolute_error: 1.1983, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.5484,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4111, f_measure: 0.0615, kappa: -0.1779, kb_relative_information_score: -0.0934, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.1324, predictive_accuracy: 0.0608, prior_entropy: 2.4107, recall: 0.0608, relative_absolute_error: 1.2069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.518, root_relative_squared_error: 1.5539,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7542, kappa: 0.6839, kb_relative_information_score: 0.7208, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7548, predictive_accuracy: 0.7543, prior_entropy: 2.4107, recall: 0.7543, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.265, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7606, kappa: 0.6899, kb_relative_information_score: 0.7263, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7634, predictive_accuracy: 0.7599, prior_entropy: 2.4107, recall: 0.7599, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7646, kappa: 0.6968, kb_relative_information_score: 0.7298, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.765, predictive_accuracy: 0.7651, prior_entropy: 2.4107, recall: 0.7651, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6192, kappa: 0.5011, kb_relative_information_score: 0.5583, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.628, predictive_accuracy: 0.6182, prior_entropy: 2.4107, recall: 0.6182, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7232, kappa: 0.642, kb_relative_information_score: 0.6812, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7275, predictive_accuracy: 0.7233, prior_entropy: 2.4107, recall: 0.7233, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7365, kappa: 0.6594, kb_relative_information_score: 0.6967, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7394, predictive_accuracy: 0.7367, prior_entropy: 2.4107, recall: 0.7367, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.8227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.3273, kappa: 0.1204, kb_relative_information_score: 0.2031, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.3491, predictive_accuracy: 0.3483, prior_entropy: 2.4107, recall: 0.3483, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.2944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.721, kappa: 0.6392, kb_relative_information_score: 0.6785, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7251, predictive_accuracy: 0.7213, prior_entropy: 2.4107, recall: 0.7213, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7566, kappa: 0.6854, kb_relative_information_score: 0.7249, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7588, predictive_accuracy: 0.7558, prior_entropy: 2.4107, recall: 0.7558, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.7924,

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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From your own software

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

OpenML APIs