Task
Supervised Classification on PieChart3

Supervised Classification on PieChart3

Task 10099 Supervised Classification PieChart3 103 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.8387, kappa: 0.1453, kb_relative_information_score: -83.1948, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8333, predictive_accuracy: 0.8728, prior_entropy: 0.5439, recall: 0.8728, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.9448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.8175, kb_relative_information_score: -253.8697, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.8175, kb_relative_information_score: 5.0955, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3301, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.8456, kappa: 0.2003, kb_relative_information_score: 51.9116, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8379, predictive_accuracy: 0.8709, prior_entropy: 0.5439, recall: 0.8709, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.8175, kb_relative_information_score: -4.3099, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3301, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.8363, kappa: 0.1726, kb_relative_information_score: -215.175, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8245, predictive_accuracy: 0.8561, prior_entropy: 0.5439, recall: 0.8561, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3611, root_relative_squared_error: 1.0939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.8465, kappa: 0.2593, kb_relative_information_score: 147.3211, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.84, predictive_accuracy: 0.8552, prior_entropy: 0.5439, recall: 0.8552, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3674, root_relative_squared_error: 1.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.4141, kappa: 0.0573, kb_relative_information_score: -3086.5881, mean_absolute_error: 0.6321, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8507, predictive_accuracy: 0.3593, prior_entropy: 0.5439, recall: 0.3593, relative_absolute_error: 2.8942, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.7603, root_relative_squared_error: 2.3036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8413, kappa: 0.2328, kb_relative_information_score: 54.7022, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8341, predictive_accuracy: 0.8505, prior_entropy: 0.5439, recall: 0.8505, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3411, root_relative_squared_error: 1.0334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.8367, kappa: 0.2118, kb_relative_information_score: -10.7185, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8294, predictive_accuracy: 0.8459, prior_entropy: 0.5439, recall: 0.8459, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3501, root_relative_squared_error: 1.0606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.8175, kb_relative_information_score: 286.5515, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.8295, kappa: 0.1178, kb_relative_information_score: -76.9274, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8146, predictive_accuracy: 0.857, prior_entropy: 0.5439, recall: 0.857, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.8234, kappa: 0.2911, kb_relative_information_score: -305.7751, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8508, predictive_accuracy: 0.805, prior_entropy: 0.5439, recall: 0.805, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3947, root_relative_squared_error: 1.1957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.8175, kb_relative_information_score: -4.3099, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3301, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.838, kappa: 0.1741, kb_relative_information_score: -84.4562, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8263, predictive_accuracy: 0.8598, prior_entropy: 0.5439, recall: 0.8598, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.8175, kb_relative_information_score: -131.5676, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.8175, kb_relative_information_score: -4.3099, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3301, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.8403, kappa: 0.1895, kb_relative_information_score: -135.7964, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8294, predictive_accuracy: 0.8607, prior_entropy: 0.5439, recall: 0.8607, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.8175, kb_relative_information_score: 1.6934, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3301, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.8339, kappa: 0.1407, kb_relative_information_score: -180.0443, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8209, predictive_accuracy: 0.8607, prior_entropy: 0.5439, recall: 0.8607, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.8386, kappa: 0.214, kb_relative_information_score: -5.0768, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8304, predictive_accuracy: 0.8496, prior_entropy: 0.5439, recall: 0.8496, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3705, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.396, kappa: 0.0533, kb_relative_information_score: -3099.9351, mean_absolute_error: 0.6403, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.851, predictive_accuracy: 0.3454, prior_entropy: 0.5439, recall: 0.3454, relative_absolute_error: 2.9317, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.7742, root_relative_squared_error: 2.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.7501, kappa: 0.2136, kb_relative_information_score: -843.7045, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8506, predictive_accuracy: 0.702, prior_entropy: 0.5439, recall: 0.702, relative_absolute_error: 1.3649, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.8191, kappa: 0.0192, kb_relative_information_score: -234.0287, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7965, predictive_accuracy: 0.8691, prior_entropy: 0.5439, recall: 0.8691, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.8324, kappa: 0.2647, kb_relative_information_score: -200.8186, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8405, predictive_accuracy: 0.8254, prior_entropy: 0.5439, recall: 0.8254, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3607, root_relative_squared_error: 1.0928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.8304, kappa: 0.108, kb_relative_information_score: -100.7376, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8166, predictive_accuracy: 0.8635, prior_entropy: 0.5439, recall: 0.8635, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.9236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.5115, kappa: 0.0902, kb_relative_information_score: -2708.4426, mean_absolute_error: 0.531, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8568, predictive_accuracy: 0.442, prior_entropy: 0.5439, recall: 0.442, relative_absolute_error: 2.4315, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.6351, root_relative_squared_error: 1.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.8386, kappa: 0.214, kb_relative_information_score: -5.0768, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8304, predictive_accuracy: 0.8496, prior_entropy: 0.5439, recall: 0.8496, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3705, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.822, kappa: 0.0258, kb_relative_information_score: -3.1672, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8925, predictive_accuracy: 0.8774, prior_entropy: 0.5439, recall: 0.8774, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.8368, kappa: 0.1422, kb_relative_information_score: -190.4612, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.827, predictive_accuracy: 0.8682, prior_entropy: 0.5439, recall: 0.8682, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.8328, kappa: 0.2495, kb_relative_information_score: -6.5649, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8367, predictive_accuracy: 0.8292, prior_entropy: 0.5439, recall: 0.8292, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.4133, root_relative_squared_error: 1.2523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.8384, kappa: 0.1521, kb_relative_information_score: 245.7556, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8294, predictive_accuracy: 0.8691, prior_entropy: 0.5439, recall: 0.8691, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3618, root_relative_squared_error: 1.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8136, kappa: 0.0002, kb_relative_information_score: 181.2085, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7822, predictive_accuracy: 0.8589, prior_entropy: 0.5439, recall: 0.8589, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3757, root_relative_squared_error: 1.1382, usercpu_time_millis: 3.153, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 3.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.5066, kappa: 0.0016, kb_relative_information_score: -2559.1094, mean_absolute_error: 0.5747, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7832, predictive_accuracy: 0.4253, prior_entropy: 0.5439, recall: 0.4253, relative_absolute_error: 2.6316, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.7581, root_relative_squared_error: 2.2969, usercpu_time_millis: 64.951, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 64.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.839, kappa: 0.2004, kb_relative_information_score: 151.8689, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8289, predictive_accuracy: 0.8542, prior_entropy: 0.5439, recall: 0.8542, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3818, root_relative_squared_error: 1.1568, usercpu_time_millis: 1.837, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 1.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.821, kappa: 0.0219, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8301, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687, usercpu_time_millis: 2.418, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 2.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.8337, kappa: 0.2586, kb_relative_information_score: -6.5649, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8388, predictive_accuracy: 0.8292, prior_entropy: 0.5439, recall: 0.8292, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.4133, root_relative_squared_error: 1.2523, usercpu_time_millis: 0.959, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687, usercpu_time_millis: 0.803, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.836, kappa: 0.2024, kb_relative_information_score: 104.9256, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8277, predictive_accuracy: 0.8468, prior_entropy: 0.5439, recall: 0.8468, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.1859, usercpu_time_millis: 0.399, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.8376, kappa: 0.1295, kb_relative_information_score: 292.6989, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8396, predictive_accuracy: 0.8765, prior_entropy: 0.5439, recall: 0.8765, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3514, root_relative_squared_error: 1.0647, usercpu_time_millis: 16.684, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 15.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.3701, kappa: 0.0324, kb_relative_information_score: -3210.4483, mean_absolute_error: 0.6778, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8266, predictive_accuracy: 0.3222, prior_entropy: 0.5439, recall: 0.3222, relative_absolute_error: 3.1035, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.8233, root_relative_squared_error: 2.4944, usercpu_time_millis: 36.75, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 36.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, f_measure: 0.8352, kappa: 0.1285, kb_relative_information_score: 245.7556, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8258, predictive_accuracy: 0.8691, prior_entropy: 0.5439, recall: 0.8691, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3618, root_relative_squared_error: 1.0962, usercpu_time_millis: 6.376, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 6.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.8311, kappa: 0.1058, kb_relative_information_score: 228.1518, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8187, predictive_accuracy: 0.8663, prior_entropy: 0.5439, recall: 0.8663, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3657, root_relative_squared_error: 1.1078, usercpu_time_millis: 52.943, usercpu_time_millis_testing: 5.891, usercpu_time_millis_training: 47.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.8376, kappa: 0.1372, kb_relative_information_score: 269.2273, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8323, predictive_accuracy: 0.8728, prior_entropy: 0.5439, recall: 0.8728, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.0806, usercpu_time_millis: 12.657, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 12.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.8505, kappa: 0.2317, kb_relative_information_score: 269.2273, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8435, predictive_accuracy: 0.8728, prior_entropy: 0.5439, recall: 0.8728, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.0806, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 1.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.817, kappa: -0.0018, kb_relative_information_score: 280.9631, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7665, predictive_accuracy: 0.8747, prior_entropy: 0.5439, recall: 0.8747, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.354, root_relative_squared_error: 1.0727, usercpu_time_millis: 1.128, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.8244, kappa: 0.0654, kb_relative_information_score: 210.5481, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8071, predictive_accuracy: 0.8635, prior_entropy: 0.5439, recall: 0.8635, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3694, root_relative_squared_error: 1.1193, usercpu_time_millis: 2.142, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 1.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.8188, kappa: 0.0092, kb_relative_information_score: 280.9631, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8086, predictive_accuracy: 0.8747, prior_entropy: 0.5439, recall: 0.8747, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.354, root_relative_squared_error: 1.0727, usercpu_time_millis: 57.516, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 57.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, f_measure: 0.8164, kappa: 0.0196, kb_relative_information_score: 181.2085, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7901, predictive_accuracy: 0.8589, prior_entropy: 0.5439, recall: 0.8589, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3757, root_relative_squared_error: 1.1382, usercpu_time_millis: 1.654, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.8352, kappa: 0.1246, kb_relative_information_score: 257.4914, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8277, predictive_accuracy: 0.8709, prior_entropy: 0.5439, recall: 0.8709, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3593, root_relative_squared_error: 1.0884, usercpu_time_millis: 1.419, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687, usercpu_time_millis: 0.445, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687, usercpu_time_millis: 0.63, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687, usercpu_time_millis: 19.094, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 19.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.3907, kappa: 0.0495, kb_relative_information_score: -3093.0899, mean_absolute_error: 0.6592, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8469, predictive_accuracy: 0.3408, prior_entropy: 0.5439, recall: 0.3408, relative_absolute_error: 3.0185, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.8119, root_relative_squared_error: 2.46, usercpu_time_millis: 1.843, usercpu_time_millis_testing: 1.44, usercpu_time_millis_training: 0.403,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.8492, kappa: 0.227, kb_relative_information_score: 257.4914, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8413, predictive_accuracy: 0.8709, prior_entropy: 0.5439, recall: 0.8709, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3593, root_relative_squared_error: 1.0884, usercpu_time_millis: 0.976, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5331, f_measure: 0.8321, kappa: 0.1012, kb_relative_information_score: 263.3594, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8257, predictive_accuracy: 0.8719, prior_entropy: 0.5439, recall: 0.8719, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.358, root_relative_squared_error: 1.0845, usercpu_time_millis: 5.147, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 5.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.8477, kappa: 0.2182, kb_relative_information_score: 251.6235, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8394, predictive_accuracy: 0.87, prior_entropy: 0.5439, recall: 0.87, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3605, root_relative_squared_error: 1.0924, usercpu_time_millis: 1.082, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.817, kappa: -0.0018, kb_relative_information_score: 280.9631, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7665, predictive_accuracy: 0.8747, prior_entropy: 0.5439, recall: 0.8747, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.354, root_relative_squared_error: 1.0727, usercpu_time_millis: 0.147, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.8623, kappa: 0.3121, kb_relative_information_score: 292.6989, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8561, predictive_accuracy: 0.8765, prior_entropy: 0.5439, recall: 0.8765, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3514, root_relative_squared_error: 1.0647, usercpu_time_millis: 0.629, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, f_measure: 0.8376, kappa: 0.1334, kb_relative_information_score: 280.9631, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8354, predictive_accuracy: 0.8747, prior_entropy: 0.5439, recall: 0.8747, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.354, root_relative_squared_error: 1.0727, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.8238, kappa: 0.0409, kb_relative_information_score: 280.9631, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8243, predictive_accuracy: 0.8747, prior_entropy: 0.5439, recall: 0.8747, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.354, root_relative_squared_error: 1.0727, usercpu_time_millis: 1.552, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.8425, kappa: 0.2187, kb_relative_information_score: 169.4727, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.833, predictive_accuracy: 0.857, prior_entropy: 0.5439, recall: 0.857, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3781, root_relative_squared_error: 1.1457, usercpu_time_millis: 0.84, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.8461, kappa: 0.2093, kb_relative_information_score: 245.7556, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8375, predictive_accuracy: 0.8691, prior_entropy: 0.5439, recall: 0.8691, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3618, root_relative_squared_error: 1.0962, usercpu_time_millis: 2.777, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 2.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.8386, kappa: 0.214, kb_relative_information_score: 122.5293, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8304, predictive_accuracy: 0.8496, prior_entropy: 0.5439, recall: 0.8496, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3878, root_relative_squared_error: 1.175, usercpu_time_millis: 2.301, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 1.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.854, kappa: 0.2707, kb_relative_information_score: 245.7556, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8463, predictive_accuracy: 0.8691, prior_entropy: 0.5439, recall: 0.8691, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3618, root_relative_squared_error: 1.0962, usercpu_time_millis: 2.99, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 2.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.8391, kappa: 0.2435, kb_relative_information_score: 81.4539, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8354, predictive_accuracy: 0.8431, prior_entropy: 0.5439, recall: 0.8431, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3961, root_relative_squared_error: 1.2002, usercpu_time_millis: 2.748, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 2.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.8242, kappa: 0.051, kb_relative_information_score: 251.6235, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8112, predictive_accuracy: 0.87, prior_entropy: 0.5439, recall: 0.87, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3605, root_relative_squared_error: 1.0924, usercpu_time_millis: 10.564, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 10.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.8292, kappa: 0.0781, kb_relative_information_score: 275.0952, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8267, predictive_accuracy: 0.8737, prior_entropy: 0.5439, recall: 0.8737, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3554, root_relative_squared_error: 1.0766, usercpu_time_millis: 1.699, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 1.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5502, f_measure: 0.8368, kappa: 0.1422, kb_relative_information_score: 239.8877, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.827, predictive_accuracy: 0.8682, prior_entropy: 0.5439, recall: 0.8682, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3631, root_relative_squared_error: 1.1001, usercpu_time_millis: 3.664, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 3.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687, usercpu_time_millis: 1.405, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.8166, kappa: -0.0037, kb_relative_information_score: 275.0952, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7664, predictive_accuracy: 0.8737, prior_entropy: 0.5439, recall: 0.8737, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3554, root_relative_squared_error: 1.0766, usercpu_time_millis: 1.459, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.338,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, f_measure: 0.8497, kappa: 0.2427, kb_relative_information_score: 234.0198, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8412, predictive_accuracy: 0.8672, prior_entropy: 0.5439, recall: 0.8672, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3644, root_relative_squared_error: 1.104, usercpu_time_millis: 274.456, usercpu_time_millis_testing: 6.056, usercpu_time_millis_training: 268.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.8183, kappa: 0.0073, kb_relative_information_score: 275.0952, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7982, predictive_accuracy: 0.8737, prior_entropy: 0.5439, recall: 0.8737, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3554, root_relative_squared_error: 1.0766, usercpu_time_millis: 41.758, usercpu_time_millis_testing: 5.951, usercpu_time_millis_training: 35.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687, usercpu_time_millis: 3.87, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 3.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.8477, kappa: 0.2182, kb_relative_information_score: 251.6235, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8394, predictive_accuracy: 0.87, prior_entropy: 0.5439, recall: 0.87, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3605, root_relative_squared_error: 1.0924, usercpu_time_millis: 1.093, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.8264, kappa: 0.081, kb_relative_information_score: 204.6802, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8101, predictive_accuracy: 0.8626, prior_entropy: 0.5439, recall: 0.8626, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3707, root_relative_squared_error: 1.1231, usercpu_time_millis: 3.363, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 3.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5577, f_measure: 0.8346, kappa: 0.1512, kb_relative_information_score: 181.2085, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8218, predictive_accuracy: 0.8589, prior_entropy: 0.5439, recall: 0.8589, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3757, root_relative_squared_error: 1.1382, usercpu_time_millis: 32.326, usercpu_time_millis_testing: 2.384, usercpu_time_millis_training: 29.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8175, kb_relative_information_score: 286.831, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0687, usercpu_time_millis: 3.606, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 3.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.82, kappa: 0.0181, kb_relative_information_score: -456.3908, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8091, predictive_accuracy: 0.8737, prior_entropy: 0.5439, recall: 0.8737, relative_absolute_error: 1.0617, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.9715, scimark_benchmark: 1234.4406, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.8281, kappa: 0.1637, kb_relative_information_score: -148.5945, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.819, predictive_accuracy: 0.8394, prior_entropy: 0.5439, recall: 0.8394, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3399, root_relative_squared_error: 1.0297, scimark_benchmark: 476.4169, usercpu_time_millis: 24250, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 24190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7681, kappa: 0.291, kb_relative_information_score: -700.8444, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8794, predictive_accuracy: 0.7224, prior_entropy: 0.5439, recall: 0.7224, relative_absolute_error: 1.2771, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.5877, scimark_benchmark: 1251.4803, usercpu_time_millis: 810, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.8391, kappa: 0.2435, kb_relative_information_score: 79.4344, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8354, predictive_accuracy: 0.8431, prior_entropy: 0.5439, recall: 0.8431, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3957, root_relative_squared_error: 1.1989, scimark_benchmark: 1232.5634, usercpu_time_millis: 190, usercpu_time_millis_testing: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.8257, kappa: 0.1731, kb_relative_information_score: -222.6012, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8202, predictive_accuracy: 0.8319, prior_entropy: 0.5439, recall: 0.8319, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3415, root_relative_squared_error: 1.0345, scimark_benchmark: 1188.9316, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.7216, kappa: 0.2139, kb_relative_information_score: -1074.9895, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.863, predictive_accuracy: 0.6648, prior_entropy: 0.5439, recall: 0.6648, relative_absolute_error: 1.5343, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.5654, root_relative_squared_error: 1.713, scimark_benchmark: 1231.5411, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.8391, kappa: 0.2435, kb_relative_information_score: 79.4344, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8354, predictive_accuracy: 0.8431, prior_entropy: 0.5439, recall: 0.8431, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3957, root_relative_squared_error: 1.1989, scimark_benchmark: 473.1656, usercpu_time_millis: 640, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.8483, kappa: 0.2205, kb_relative_information_score: -22.203, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8405, predictive_accuracy: 0.8709, prior_entropy: 0.5439, recall: 0.8709, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.9402, scimark_benchmark: 1254.1389, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.8386, kappa: 0.214, kb_relative_information_score: -5.0768, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8304, predictive_accuracy: 0.8496, prior_entropy: 0.5439, recall: 0.8496, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3705, root_relative_squared_error: 1.1225, scimark_benchmark: 473.1656, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.8175, kb_relative_information_score: -4.3099, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3301, root_relative_squared_error: 1, scimark_benchmark: 473.1656, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.8175, kb_relative_information_score: -229.4042, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7666, predictive_accuracy: 0.8756, prior_entropy: 0.5439, recall: 0.8756, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.9471, scimark_benchmark: 479.2609, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.4141, kappa: 0.0573, kb_relative_information_score: -3028.4493, mean_absolute_error: 0.6279, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8507, predictive_accuracy: 0.3593, prior_entropy: 0.5439, recall: 0.3593, relative_absolute_error: 2.8751, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.7653, root_relative_squared_error: 2.3188, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.17, kappa: -0.0019, kb_relative_information_score: -4042.7048, mean_absolute_error: 0.8092, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.7748, predictive_accuracy: 0.1913, prior_entropy: 0.5439, recall: 0.1913, relative_absolute_error: 3.7052, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.8993, root_relative_squared_error: 2.7246, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.4141, kappa: 0.0573, kb_relative_information_score: -3028.4493, mean_absolute_error: 0.6279, mean_prior_absolute_error: 0.2184, number_of_instances: 1077, precision: 0.8507, predictive_accuracy: 0.3593, prior_entropy: 0.5439, recall: 0.3593, relative_absolute_error: 2.8751, root_mean_prior_squared_error: 0.3301, root_mean_squared_error: 0.7653, root_relative_squared_error: 2.3188, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs