OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125968 Supervised Classification SpeedDating 1170 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, average_cost: 5.3603, f_measure: 0.8403, kappa: 0.3727, kb_relative_information_score: 1414.2889, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8379, predictive_accuracy: 0.8566, prior_entropy: 0.6457, recall: 0.8566, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8631, total_cost: 44909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, average_cost: 7.0623, f_measure: 0.8058, kappa: 0.1979, kb_relative_information_score: 979.578, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8362, predictive_accuracy: 0.8508, prior_entropy: 0.6457, recall: 0.8508, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8591, total_cost: 59168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, average_cost: 6.7187, f_measure: 0.8126, kappa: 0.2331, kb_relative_information_score: 621.866, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8247, predictive_accuracy: 0.8494, prior_entropy: 0.6457, recall: 0.8494, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.329, root_relative_squared_error: 0.887, total_cost: 56289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, average_cost: 7.6468, f_measure: 0.7827, kappa: 0.0977, kb_relative_information_score: 76.0258, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8049, predictive_accuracy: 0.8395, prior_entropy: 0.6457, recall: 0.8395, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9323, total_cost: 64065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, average_cost: 5.6177, f_measure: 0.8369, kappa: 0.3527, kb_relative_information_score: 1281.8034, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8365, predictive_accuracy: 0.8566, prior_entropy: 0.6457, recall: 0.8566, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.8693, total_cost: 47065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, average_cost: 5.47, f_measure: 0.84, kappa: 0.3679, kb_relative_information_score: 1338.7578, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.839, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8645, total_cost: 45828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, average_cost: 6.3815, f_measure: 0.822, kappa: 0.2767, kb_relative_information_score: 867.0271, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8308, predictive_accuracy: 0.8532, prior_entropy: 0.6457, recall: 0.8532, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8787, total_cost: 53464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, average_cost: 5.47, f_measure: 0.84, kappa: 0.3679, kb_relative_information_score: 1338.7578, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.839, predictive_accuracy: 0.8581, prior_entropy: 0.6457, recall: 0.8581, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8645, total_cost: 45828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, average_cost: 6.8137, f_measure: 0.8137, kappa: 0.2334, kb_relative_information_score: 972.466, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8387, predictive_accuracy: 0.8538, prior_entropy: 0.6457, recall: 0.8538, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8602, total_cost: 57085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, average_cost: 5.6054, f_measure: 0.8375, kappa: 0.3552, kb_relative_information_score: 1309.5296, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8373, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8592, total_cost: 46962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, average_cost: 7.0742, f_measure: 0.8054, kappa: 0.1959, kb_relative_information_score: 879.8339, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8357, predictive_accuracy: 0.8506, prior_entropy: 0.6457, recall: 0.8506, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.322, root_relative_squared_error: 0.8682, total_cost: 59268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 4.6422, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432, total_cost: 38892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, average_cost: 6.7582, f_measure: 0.8169, kappa: 0.2465, kb_relative_information_score: 964.0553, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8466, predictive_accuracy: 0.8566, prior_entropy: 0.6457, recall: 0.8566, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.8575, total_cost: 56620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, average_cost: 5.5738, f_measure: 0.8353, kappa: 0.3492, kb_relative_information_score: 854.0911, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8331, predictive_accuracy: 0.8538, prior_entropy: 0.6457, recall: 0.8538, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.8823, total_cost: 46697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, average_cost: 5.3027, f_measure: 0.8358, kappa: 0.3609, kb_relative_information_score: 1313.7523, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8311, predictive_accuracy: 0.85, prior_entropy: 0.6457, recall: 0.85, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9323, total_cost: 44426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, average_cost: 0.9144, f_measure: 0.5351, kappa: 0.158, kb_relative_information_score: -10815.4842, mean_absolute_error: 0.5095, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8542, predictive_accuracy: 0.4891, prior_entropy: 0.6457, recall: 0.4891, relative_absolute_error: 1.8511, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6959, root_relative_squared_error: 1.8761, total_cost: 7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, average_cost: 8.0819, f_measure: 0.7671, kappa: 0.0286, kb_relative_information_score: -1518.7034, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8187, predictive_accuracy: 0.8372, prior_entropy: 0.6457, recall: 0.8372, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9925, total_cost: 67710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, average_cost: 5.0292, f_measure: 0.7759, kappa: 0.2232, kb_relative_information_score: -495.4867, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7872, predictive_accuracy: 0.7667, prior_entropy: 0.6457, recall: 0.7667, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4665, root_relative_squared_error: 1.2576, total_cost: 42135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, average_cost: 1.4497, f_measure: 0.3412, kappa: 0.0462, kb_relative_information_score: -16567.4393, mean_absolute_error: 0.6719, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7978, predictive_accuracy: 0.3281, prior_entropy: 0.6457, recall: 0.3281, relative_absolute_error: 2.4412, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8197, root_relative_squared_error: 2.2098, total_cost: 12146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -0.7597, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, average_cost: 4.6079, f_measure: 0.7575, kappa: 0.2102, kb_relative_information_score: -1364.1242, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7867, predictive_accuracy: 0.7376, prior_entropy: 0.6457, recall: 0.7376, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.3809, total_cost: 38605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, average_cost: 8.0998, f_measure: 0.7662, kappa: 0.0251, kb_relative_information_score: -1375.187, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8143, predictive_accuracy: 0.8368, prior_entropy: 0.6457, recall: 0.8368, relative_absolute_error: 1.0144, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9936, total_cost: 67860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, average_cost: 4.8239, f_measure: 0.7781, kappa: 0.2383, kb_relative_information_score: -265.1961, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7919, predictive_accuracy: 0.7672, prior_entropy: 0.6457, recall: 0.7672, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.3007, total_cost: 40415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 4.6422, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432, total_cost: 38892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, average_cost: 1.8747, f_measure: 0.7659, kappa: 0.3501, kb_relative_information_score: -1510.3525, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8515, predictive_accuracy: 0.7337, prior_entropy: 0.6457, recall: 0.7337, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.516, root_relative_squared_error: 1.3912, total_cost: 15706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, average_cost: 8.0606, f_measure: 0.7668, kappa: 0.0278, kb_relative_information_score: -1587.7498, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7794, predictive_accuracy: 0.835, prior_entropy: 0.6457, recall: 0.835, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9933, total_cost: 67532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, average_cost: 8.066, f_measure: 0.7668, kappa: 0.0279, kb_relative_information_score: -1414.9749, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.785, predictive_accuracy: 0.8355, prior_entropy: 0.6457, recall: 0.8355, relative_absolute_error: 1.0107, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9937, total_cost: 67577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 4.6422, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432, total_cost: 38892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, average_cost: 8.0604, f_measure: 0.7669, kappa: 0.0283, kb_relative_information_score: -1503.2349, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7821, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.993, total_cost: 67530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, average_cost: 7.8753, f_measure: 0.7689, kappa: 0.0416, kb_relative_information_score: -1857.5688, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7549, predictive_accuracy: 0.8274, prior_entropy: 0.6457, recall: 0.8274, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9782, total_cost: 65979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, average_cost: 7.8247, f_measure: 0.7694, kappa: 0.0452, kb_relative_information_score: -2120.7649, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7535, predictive_accuracy: 0.8254, prior_entropy: 0.6457, recall: 0.8254, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9878, total_cost: 65555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, average_cost: 7.8291, f_measure: 0.77, kappa: 0.0472, kb_relative_information_score: -1866.3843, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7563, predictive_accuracy: 0.8268, prior_entropy: 0.6457, recall: 0.8268, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9814, total_cost: 65592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, average_cost: 7.9012, f_measure: 0.7699, kappa: 0.044, kb_relative_information_score: -1910.832, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.763, predictive_accuracy: 0.8307, prior_entropy: 0.6457, recall: 0.8307, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9789, total_cost: 66196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, average_cost: 7.8427, f_measure: 0.7718, kappa: 0.0526, kb_relative_information_score: -1782.3166, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7661, predictive_accuracy: 0.8307, prior_entropy: 0.6457, recall: 0.8307, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9761, total_cost: 65706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, average_cost: 7.867, f_measure: 0.7705, kappa: 0.0472, kb_relative_information_score: -1724.1033, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7619, predictive_accuracy: 0.8298, prior_entropy: 0.6457, recall: 0.8298, relative_absolute_error: 0.9606, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9735, total_cost: 65910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, average_cost: 7.8078, f_measure: 0.7727, kappa: 0.0571, kb_relative_information_score: -1580.6382, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7669, predictive_accuracy: 0.8305, prior_entropy: 0.6457, recall: 0.8305, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9698, total_cost: 65414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, average_cost: 8.1004, f_measure: 0.7659, kappa: 0.0238, kb_relative_information_score: -1481.9297, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7991, predictive_accuracy: 0.8362, prior_entropy: 0.6457, recall: 0.8362, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9936, total_cost: 67865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, average_cost: 7.7483, f_measure: 0.7752, kappa: 0.0677, kb_relative_information_score: -1569.1004, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7725, predictive_accuracy: 0.8316, prior_entropy: 0.6457, recall: 0.8316, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9733, total_cost: 64915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, average_cost: 5.6, f_measure: 0.7891, kappa: 0.2219, kb_relative_information_score: -330.5766, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.786, predictive_accuracy: 0.7924, prior_entropy: 0.6457, recall: 0.7924, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.1702, total_cost: 46917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, average_cost: 6.666, f_measure: 0.7973, kappa: 0.1875, kb_relative_information_score: -180.7576, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7878, predictive_accuracy: 0.826, prior_entropy: 0.6457, recall: 0.826, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3884, root_relative_squared_error: 1.0472, total_cost: 55848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, average_cost: 6.3843, f_measure: 0.7825, kappa: 0.1627, kb_relative_information_score: 832.2435, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7716, predictive_accuracy: 0.7977, prior_entropy: 0.6457, recall: 0.7977, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4388, root_relative_squared_error: 1.183, total_cost: 53488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, average_cost: 4.0822, f_measure: 0.8325, kappa: 0.3984, kb_relative_information_score: 1841.5452, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8346, predictive_accuracy: 0.8305, prior_entropy: 0.6457, recall: 0.8305, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3836, root_relative_squared_error: 1.0343, total_cost: 34201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, average_cost: 1.4181, f_measure: 0.7225, kappa: 0.3055, kb_relative_information_score: -3451.2012, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8554, predictive_accuracy: 0.6814, prior_entropy: 0.6457, recall: 0.6814, relative_absolute_error: 1.1575, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.5217, total_cost: 11881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 5.4309, f_measure: 0.7906, kappa: 0.2344, kb_relative_information_score: 650.6004, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7893, predictive_accuracy: 0.792, prior_entropy: 0.6457, recall: 0.792, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.2295, total_cost: 45500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, average_cost: 7.357, f_measure: 0.7967, kappa: 0.1563, kb_relative_information_score: 885.88, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8415, predictive_accuracy: 0.8485, prior_entropy: 0.6457, recall: 0.8485, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8652, total_cost: 61637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, f_measure: 0.818, kappa: 0.2519, kb_relative_information_score: 983.2103, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8598, total_cost: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, f_measure: 0.818, kappa: 0.2519, kb_relative_information_score: 983.2103, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8598, total_cost: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, average_cost: 7.3451, f_measure: 0.7971, kappa: 0.1584, kb_relative_information_score: 884.3034, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.842, predictive_accuracy: 0.8488, prior_entropy: 0.6457, recall: 0.8488, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.321, root_relative_squared_error: 0.8653, total_cost: 61537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, average_cost: 8.224, f_measure: 0.7608, kappa: 0.0022, kb_relative_information_score: 305.8179, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8077, predictive_accuracy: 0.8354, prior_entropy: 0.6457, recall: 0.8354, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.9296, total_cost: 68901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, average_cost: 7.0742, f_measure: 0.8054, kappa: 0.1959, kb_relative_information_score: 879.8339, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8357, predictive_accuracy: 0.8506, prior_entropy: 0.6457, recall: 0.8506, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.322, root_relative_squared_error: 0.8682, total_cost: 59268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, average_cost: 6.9014, f_measure: 0.8117, kappa: 0.2236, kb_relative_information_score: 903.5573, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8416, predictive_accuracy: 0.8538, prior_entropy: 0.6457, recall: 0.8538, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8638, total_cost: 57820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, average_cost: 6.8373, f_measure: 0.813, kappa: 0.2302, kb_relative_information_score: 852.9249, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8386, predictive_accuracy: 0.8535, prior_entropy: 0.6457, recall: 0.8535, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.8679, total_cost: 57283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, average_cost: 7.3274, f_measure: 0.7977, kappa: 0.1609, kb_relative_information_score: 872.8471, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8413, predictive_accuracy: 0.8489, prior_entropy: 0.6457, recall: 0.8489, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.8659, total_cost: 61389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, average_cost: 7.3096, f_measure: 0.7983, kappa: 0.1637, kb_relative_information_score: 868.8666, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8414, predictive_accuracy: 0.8491, prior_entropy: 0.6457, recall: 0.8491, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.8661, total_cost: 61240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, average_cost: 8.2181, f_measure: 0.7611, kappa: 0.0034, kb_relative_information_score: 308.8841, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8215, predictive_accuracy: 0.8355, prior_entropy: 0.6457, recall: 0.8355, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.9291, total_cost: 68851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, average_cost: 8.2239, f_measure: 0.7609, kappa: 0.0024, kb_relative_information_score: 261.6063, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8626, predictive_accuracy: 0.8355, prior_entropy: 0.6457, recall: 0.8355, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.345, root_relative_squared_error: 0.93, total_cost: 68900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, average_cost: 7.2807, f_measure: 0.7989, kappa: 0.1665, kb_relative_information_score: 877.3779, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8375, predictive_accuracy: 0.8488, prior_entropy: 0.6457, recall: 0.8488, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.8666, total_cost: 60998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, average_cost: 8.224, f_measure: 0.7608, kappa: 0.0022, kb_relative_information_score: 314.569, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8077, predictive_accuracy: 0.8354, prior_entropy: 0.6457, recall: 0.8354, relative_absolute_error: 0.9144, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.9296, total_cost: 68901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, average_cost: 8.0357, f_measure: 0.7684, kappa: 0.0347, kb_relative_information_score: -99.0737, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7984, predictive_accuracy: 0.8366, prior_entropy: 0.6457, recall: 0.8366, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9464, total_cost: 67323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, average_cost: 6.7776, f_measure: 0.8151, kappa: 0.2397, kb_relative_information_score: 992.2673, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8408, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8593, total_cost: 56783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, f_measure: 0.818, kappa: 0.2519, kb_relative_information_score: 983.2103, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8598, total_cost: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, average_cost: 6.7764, f_measure: 0.816, kappa: 0.2427, kb_relative_information_score: 973.5605, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8448, predictive_accuracy: 0.8559, prior_entropy: 0.6457, recall: 0.8559, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8588, total_cost: 56773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, average_cost: 6.7603, f_measure: 0.8154, kappa: 0.241, kb_relative_information_score: 1002.1166, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8395, predictive_accuracy: 0.8545, prior_entropy: 0.6457, recall: 0.8545, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8589, total_cost: 56638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, average_cost: 7.1739, f_measure: 0.8027, kappa: 0.1834, kb_relative_information_score: 897.2756, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8392, predictive_accuracy: 0.8503, prior_entropy: 0.6457, recall: 0.8503, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8652, total_cost: 60103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, average_cost: 7.2807, f_measure: 0.7989, kappa: 0.1665, kb_relative_information_score: 877.3779, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8375, predictive_accuracy: 0.8488, prior_entropy: 0.6457, recall: 0.8488, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.8666, total_cost: 60998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, average_cost: 7.5228, f_measure: 0.7907, kappa: 0.1298, kb_relative_information_score: 759.7738, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8428, predictive_accuracy: 0.8465, prior_entropy: 0.6457, recall: 0.8465, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.8748, total_cost: 63026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, average_cost: 5.5863, f_measure: 0.7907, kappa: 0.2265, kb_relative_information_score: 331.4015, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7873, predictive_accuracy: 0.7945, prior_entropy: 0.6457, recall: 0.7945, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4384, root_relative_squared_error: 1.182, total_cost: 46802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, average_cost: 4.6422, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432, total_cost: 38892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 2.3367, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289, total_cost: 19577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, average_cost: 7.7719, f_measure: 0.7809, kappa: 0.0875, kb_relative_information_score: 699.0791, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8452, predictive_accuracy: 0.843, prior_entropy: 0.6457, recall: 0.843, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.8801, total_cost: 65113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, average_cost: 8.0513, f_measure: 0.7688, kappa: 0.036, kb_relative_information_score: 563.6267, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8461, predictive_accuracy: 0.8385, prior_entropy: 0.6457, recall: 0.8385, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.8919, total_cost: 67454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, average_cost: 8.218, f_measure: 0.7612, kappa: 0.0036, kb_relative_information_score: 388.8145, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8627, predictive_accuracy: 0.8356, prior_entropy: 0.6457, recall: 0.8356, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.908, total_cost: 68850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: 202.5768, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9156, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.345, root_relative_squared_error: 0.9301, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: 12.0974, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.356, root_relative_squared_error: 0.9597, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, average_cost: 6.7776, f_measure: 0.8151, kappa: 0.2397, kb_relative_information_score: 992.2673, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8408, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8593, total_cost: 56783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, f_measure: 0.818, kappa: 0.2519, kb_relative_information_score: 983.2103, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8598, total_cost: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, average_cost: 5.4309, f_measure: 0.7906, kappa: 0.2344, kb_relative_information_score: 650.6004, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7893, predictive_accuracy: 0.792, prior_entropy: 0.6457, recall: 0.792, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.2295, total_cost: 45500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, average_cost: 6.8256, f_measure: 0.8051, kappa: 0.2042, kb_relative_information_score: 335.1245, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8086, predictive_accuracy: 0.8418, prior_entropy: 0.6457, recall: 0.8418, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.936, total_cost: 57185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, average_cost: 5.752, f_measure: 0.8306, kappa: 0.3281, kb_relative_information_score: 1067.2616, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8285, predictive_accuracy: 0.851, prior_entropy: 0.6457, recall: 0.851, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.9045, total_cost: 48190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, average_cost: 5.7107, f_measure: 0.827, kappa: 0.3186, kb_relative_information_score: 1031.5583, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8224, predictive_accuracy: 0.8455, prior_entropy: 0.6457, recall: 0.8455, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.8985, total_cost: 47844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, average_cost: 6.217, f_measure: 0.8211, kappa: 0.2801, kb_relative_information_score: 473.6734, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8218, predictive_accuracy: 0.8481, prior_entropy: 0.6457, recall: 0.8481, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.9108, total_cost: 52086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, average_cost: 5.6185, f_measure: 0.8362, kappa: 0.3506, kb_relative_information_score: 914.2421, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8354, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.8928, total_cost: 47072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, average_cost: 6.1817, f_measure: 0.8263, kappa: 0.298, kb_relative_information_score: 671.732, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8319, predictive_accuracy: 0.8541, prior_entropy: 0.6457, recall: 0.8541, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.334, root_relative_squared_error: 0.9005, total_cost: 51790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, average_cost: 5.8972, f_measure: 0.8292, kappa: 0.3181, kb_relative_information_score: 782.4467, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.829, predictive_accuracy: 0.852, prior_entropy: 0.6457, recall: 0.852, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.8991, total_cost: 49407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, average_cost: 5.9909, f_measure: 0.8277, kappa: 0.3097, kb_relative_information_score: 803.588, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8284, predictive_accuracy: 0.8519, prior_entropy: 0.6457, recall: 0.8519, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996, total_cost: 50192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, average_cost: 5.9051, f_measure: 0.8276, kappa: 0.3126, kb_relative_information_score: 907.224, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8262, predictive_accuracy: 0.85, prior_entropy: 0.6457, recall: 0.85, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.8976, total_cost: 49473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, average_cost: 6.0659, f_measure: 0.8273, kappa: 0.3056, kb_relative_information_score: 910.185, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8299, predictive_accuracy: 0.8529, prior_entropy: 0.6457, recall: 0.8529, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.8938, total_cost: 50820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, average_cost: 6.3014, f_measure: 0.8221, kappa: 0.2801, kb_relative_information_score: 569.2178, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8271, predictive_accuracy: 0.8514, prior_entropy: 0.6457, recall: 0.8514, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9025, total_cost: 52793,

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