Task
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125969 Supervised Classification SpeedDating 1071 runs submitted
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1071 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, average_cost: 0.2375, f_measure: 0.8397, kappa: 0.4271, kb_relative_information_score: -617.1663, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8426, predictive_accuracy: 0.8371, prior_entropy: 0.6457, recall: 0.8371, relative_absolute_error: 0.8872, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9085, total_cost: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, average_cost: 0.2328, f_measure: 0.8333, kappa: 0.4458, kb_relative_information_score: -5844.2875, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8536, predictive_accuracy: 0.8216, prior_entropy: 0.6457, recall: 0.8216, relative_absolute_error: 1.2624, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.0228, total_cost: 1950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, average_cost: 0.2168, f_measure: 0.8598, kappa: 0.4727, kb_relative_information_score: 3368.3563, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8566, predictive_accuracy: 0.8651, prior_entropy: 0.6457, recall: 0.8651, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9901, total_cost: 1816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, average_cost: 0.2166, f_measure: 0.8598, kappa: 0.4731, kb_relative_information_score: 3363.9252, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8566, predictive_accuracy: 0.865, prior_entropy: 0.6457, recall: 0.865, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9905, total_cost: 1815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, average_cost: 0.2211, f_measure: 0.8577, kappa: 0.4608, kb_relative_information_score: 3341.7694, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8542, predictive_accuracy: 0.8644, prior_entropy: 0.6457, recall: 0.8644, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9927, total_cost: 1852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, average_cost: 0.2178, f_measure: 0.859, kappa: 0.4699, kb_relative_information_score: 3341.7694, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8558, predictive_accuracy: 0.8644, prior_entropy: 0.6457, recall: 0.8644, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9927, total_cost: 1825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, average_cost: 0.2564, f_measure: 0.8362, kappa: 0.3446, kb_relative_information_score: 1141.2274, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.839, predictive_accuracy: 0.8587, prior_entropy: 0.6457, recall: 0.8587, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8621, total_cost: 2148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, average_cost: 0.2168, f_measure: 0.8597, kappa: 0.4728, kb_relative_information_score: 3363.9252, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8566, predictive_accuracy: 0.865, prior_entropy: 0.6457, recall: 0.865, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9905, total_cost: 1816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, average_cost: 0.2215, f_measure: 0.8568, kappa: 0.46, kb_relative_information_score: 3284.1643, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8534, predictive_accuracy: 0.8629, prior_entropy: 0.6457, recall: 0.8629, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9984, total_cost: 1856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, average_cost: 0.2174, f_measure: 0.8594, kappa: 0.4712, kb_relative_information_score: 3355.0628, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8562, predictive_accuracy: 0.8648, prior_entropy: 0.6457, recall: 0.8648, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9914, total_cost: 1821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, average_cost: 0.2255, f_measure: 0.8557, kappa: 0.4478, kb_relative_information_score: 3341.7694, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8522, predictive_accuracy: 0.8644, prior_entropy: 0.6457, recall: 0.8644, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9927, total_cost: 1889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, average_cost: 0.2208, f_measure: 0.8576, kappa: 0.4617, kb_relative_information_score: 3324.0447, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8541, predictive_accuracy: 0.8639, prior_entropy: 0.6457, recall: 0.8639, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9945, total_cost: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, average_cost: 0.224, f_measure: 0.8553, kappa: 0.4532, kb_relative_information_score: 3244.2838, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8517, predictive_accuracy: 0.8618, prior_entropy: 0.6457, recall: 0.8618, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3718, root_relative_squared_error: 1.0023, total_cost: 1877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, average_cost: 0.2218, f_measure: 0.8569, kappa: 0.4592, kb_relative_information_score: 3297.4577, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8534, predictive_accuracy: 0.8632, prior_entropy: 0.6457, recall: 0.8632, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9971, total_cost: 1858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, average_cost: 0.3176, 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: 2661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, average_cost: 0.2807, f_measure: 0.788, kappa: 0.3691, kb_relative_information_score: -726.4197, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8459, predictive_accuracy: 0.7625, prior_entropy: 0.6457, recall: 0.7625, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.2199, total_cost: 2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, average_cost: 0.2807, f_measure: 0.788, kappa: 0.3691, kb_relative_information_score: -726.4197, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8459, predictive_accuracy: 0.7625, prior_entropy: 0.6457, recall: 0.7625, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.2199, total_cost: 2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, average_cost: 0.2217, f_measure: 0.857, kappa: 0.4595, kb_relative_information_score: 3301.8889, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8535, predictive_accuracy: 0.8633, prior_entropy: 0.6457, recall: 0.8633, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9967, total_cost: 1857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, average_cost: 0.2799, 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: 2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, average_cost: 0.2212, f_measure: 0.8561, kappa: 0.4617, kb_relative_information_score: 3199.9722, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.853, predictive_accuracy: 0.8606, prior_entropy: 0.6457, recall: 0.8606, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0066, total_cost: 1853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, average_cost: 0.2212, f_measure: 0.8574, kappa: 0.4607, kb_relative_information_score: 3319.6136, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8539, predictive_accuracy: 0.8638, prior_entropy: 0.6457, recall: 0.8638, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.369, root_relative_squared_error: 0.9949, total_cost: 1853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, average_cost: 0.2398, f_measure: 0.8383, kappa: 0.4216, kb_relative_information_score: -603.0361, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8411, predictive_accuracy: 0.8358, prior_entropy: 0.6457, recall: 0.8358, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.9071, total_cost: 2009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, average_cost: 0.239, f_measure: 0.8388, kappa: 0.4236, kb_relative_information_score: -610.1889, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8417, predictive_accuracy: 0.8362, prior_entropy: 0.6457, recall: 0.8362, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.9087, total_cost: 2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, average_cost: 0.2258, f_measure: 0.8554, kappa: 0.4468, kb_relative_information_score: 3332.907, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8519, predictive_accuracy: 0.8642, prior_entropy: 0.6457, recall: 0.8642, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9936, total_cost: 1892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, average_cost: 0.2437, f_measure: 0.8444, kappa: 0.3923, kb_relative_information_score: 1384.0482, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8416, predictive_accuracy: 0.8588, prior_entropy: 0.6457, recall: 0.8588, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.8587, total_cost: 2042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, average_cost: 0.2206, f_measure: 0.8565, kappa: 0.4633, kb_relative_information_score: 3213.2657, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8534, predictive_accuracy: 0.8609, prior_entropy: 0.6457, recall: 0.8609, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3729, root_relative_squared_error: 1.0053, total_cost: 1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, average_cost: 0.2437, f_measure: 0.8444, kappa: 0.3923, kb_relative_information_score: 1384.0482, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8416, predictive_accuracy: 0.8588, prior_entropy: 0.6457, recall: 0.8588, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.8587, total_cost: 2042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, average_cost: 0.2263, f_measure: 0.8553, kappa: 0.4453, kb_relative_information_score: 3341.7694, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8518, predictive_accuracy: 0.8644, prior_entropy: 0.6457, recall: 0.8644, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9927, total_cost: 1896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, average_cost: 0.2532, f_measure: 0.8381, kappa: 0.3609, kb_relative_information_score: 1106.8234, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8363, predictive_accuracy: 0.8561, prior_entropy: 0.6457, recall: 0.8561, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.873, total_cost: 2121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, average_cost: 0.2163, f_measure: 0.8601, kappa: 0.474, kb_relative_information_score: 3381.6498, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.857, predictive_accuracy: 0.8655, prior_entropy: 0.6457, recall: 0.8655, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.9888, total_cost: 1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, average_cost: 0.2215, f_measure: 0.856, kappa: 0.4607, kb_relative_information_score: 3204.4034, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8528, predictive_accuracy: 0.8607, prior_entropy: 0.6457, recall: 0.8607, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3732, root_relative_squared_error: 1.0062, total_cost: 1856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, average_cost: 0.2258, f_measure: 0.8557, kappa: 0.4465, kb_relative_information_score: 3359.494, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8523, predictive_accuracy: 0.8649, prior_entropy: 0.6457, recall: 0.8649, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.991, total_cost: 1892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, average_cost: 0.2267, f_measure: 0.8548, kappa: 0.4445, kb_relative_information_score: 3315.1824, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8513, predictive_accuracy: 0.8637, prior_entropy: 0.6457, recall: 0.8637, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9954, total_cost: 1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, average_cost: 0.2267, f_measure: 0.8549, kappa: 0.4445, kb_relative_information_score: 3319.6136, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8514, predictive_accuracy: 0.8638, prior_entropy: 0.6457, recall: 0.8638, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.369, root_relative_squared_error: 0.9949, total_cost: 1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, average_cost: 0.2621, f_measure: 0.8309, kappa: 0.3396, kb_relative_information_score: -372.4946, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8259, predictive_accuracy: 0.8465, prior_entropy: 0.6457, recall: 0.8465, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.9049, total_cost: 2196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, average_cost: 0.2449, f_measure: 0.8311, kappa: 0.4148, kb_relative_information_score: -1069.201, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8408, predictive_accuracy: 0.8241, prior_entropy: 0.6457, recall: 0.8241, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.9297, total_cost: 2052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, average_cost: 0.2482, f_measure: 0.8239, kappa: 0.4137, kb_relative_information_score: -1793.6693, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8441, predictive_accuracy: 0.8117, prior_entropy: 0.6457, recall: 0.8117, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.9649, total_cost: 2079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, average_cost: 0.2675, f_measure: 0.7981, kappa: 0.3905, kb_relative_information_score: -3568.4751, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8505, predictive_accuracy: 0.7748, prior_entropy: 0.6457, recall: 0.7748, relative_absolute_error: 1.1019, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.391, root_relative_squared_error: 1.0541, total_cost: 2241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, average_cost: 0.2454, f_measure: 0.8282, kappa: 0.4168, kb_relative_information_score: -1437.4712, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.843, predictive_accuracy: 0.8185, prior_entropy: 0.6457, recall: 0.8185, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.9477, total_cost: 2056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, average_cost: 0.2556, f_measure: 0.8368, kappa: 0.3476, kb_relative_information_score: 1111.729, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8394, predictive_accuracy: 0.8589, prior_entropy: 0.6457, recall: 0.8589, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.8608, total_cost: 2141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, average_cost: 0.6466, f_measure: 0.3656, kappa: 0.0866, kb_relative_information_score: -15670.8039, mean_absolute_error: 0.5954, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8645, predictive_accuracy: 0.3544, prior_entropy: 0.6457, recall: 0.3544, relative_absolute_error: 2.1633, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.687, root_relative_squared_error: 1.8521, total_cost: 5417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, average_cost: 0.2502, f_measure: 0.8408, kappa: 0.3654, kb_relative_information_score: -40.8561, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8434, predictive_accuracy: 0.8615, prior_entropy: 0.6457, recall: 0.8615, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.8618, total_cost: 2096,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, average_cost: 0.2153, f_measure: 0.8602, kappa: 0.4768, kb_relative_information_score: 3350.6317, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9919, total_cost: 1804,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, average_cost: 0.2231, f_measure: 0.8551, kappa: 0.4565, kb_relative_information_score: 3186.6787, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8518, predictive_accuracy: 0.8602, prior_entropy: 0.6457, recall: 0.8602, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3739, root_relative_squared_error: 1.0079, total_cost: 1869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, average_cost: 0.2218, f_measure: 0.8559, kappa: 0.46, kb_relative_information_score: 3208.8345, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8527, predictive_accuracy: 0.8608, prior_entropy: 0.6457, recall: 0.8608, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.0058, total_cost: 1858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, average_cost: 0.2188, f_measure: 0.8581, kappa: 0.4676, kb_relative_information_score: 3293.0266, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8549, predictive_accuracy: 0.8631, prior_entropy: 0.6457, recall: 0.8631, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9975, total_cost: 1833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, average_cost: 0.2201, f_measure: 0.8572, kappa: 0.4642, kb_relative_information_score: 3262.0085, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.854, predictive_accuracy: 0.8623, prior_entropy: 0.6457, recall: 0.8623, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.0006, total_cost: 1844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, average_cost: 0.2185, f_measure: 0.8578, kappa: 0.4685, kb_relative_information_score: 3257.5773, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8548, predictive_accuracy: 0.8621, prior_entropy: 0.6457, recall: 0.8621, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3713, root_relative_squared_error: 1.001, total_cost: 1831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, average_cost: 0.2148, f_measure: 0.8582, kappa: 0.479, kb_relative_information_score: 3168.9541, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8568, predictive_accuracy: 0.8598, prior_entropy: 0.6457, recall: 0.8598, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.0096, total_cost: 1800,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, average_cost: 0.215, f_measure: 0.8581, kappa: 0.4786, kb_relative_information_score: 3168.9541, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8567, predictive_accuracy: 0.8598, prior_entropy: 0.6457, recall: 0.8598, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.0096, total_cost: 1801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, average_cost: 0.2171, f_measure: 0.8588, kappa: 0.4722, kb_relative_information_score: 3293.0266, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8558, predictive_accuracy: 0.8631, prior_entropy: 0.6457, recall: 0.8631, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9975, total_cost: 1819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, average_cost: 0.2188, f_measure: 0.8578, kappa: 0.4679, kb_relative_information_score: 3262.0085, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8547, predictive_accuracy: 0.8623, prior_entropy: 0.6457, recall: 0.8623, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.0006, total_cost: 1833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, average_cost: 0.2201, f_measure: 0.8569, kappa: 0.4645, kb_relative_information_score: 3230.9903, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8538, predictive_accuracy: 0.8614, prior_entropy: 0.6457, recall: 0.8614, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3723, root_relative_squared_error: 1.0036, total_cost: 1844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, average_cost: 0.2191, f_measure: 0.8574, kappa: 0.467, kb_relative_information_score: 3239.8526, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8544, predictive_accuracy: 0.8617, prior_entropy: 0.6457, recall: 0.8617, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.0027, total_cost: 1836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, average_cost: 0.2147, f_measure: 0.8583, kappa: 0.4792, kb_relative_information_score: 3173.3852, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8569, predictive_accuracy: 0.8599, prior_entropy: 0.6457, recall: 0.8599, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3743, root_relative_squared_error: 1.0092, total_cost: 1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, average_cost: 0.2164, f_measure: 0.8594, kappa: 0.474, kb_relative_information_score: 3324.0447, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8564, predictive_accuracy: 0.8639, prior_entropy: 0.6457, recall: 0.8639, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9945, total_cost: 1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, average_cost: 0.2165, f_measure: 0.8592, kappa: 0.4737, kb_relative_information_score: 3310.7512, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8563, predictive_accuracy: 0.8636, prior_entropy: 0.6457, recall: 0.8636, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9958, total_cost: 1814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, average_cost: 0.2147, f_measure: 0.8583, kappa: 0.4792, kb_relative_information_score: 3173.3852, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8569, predictive_accuracy: 0.8599, prior_entropy: 0.6457, recall: 0.8599, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3743, root_relative_squared_error: 1.0092, total_cost: 1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, average_cost: 0.2148, f_measure: 0.8582, kappa: 0.4789, kb_relative_information_score: 3173.3852, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8568, predictive_accuracy: 0.8599, prior_entropy: 0.6457, recall: 0.8599, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3743, root_relative_squared_error: 1.0092, total_cost: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, average_cost: 0.2158, f_measure: 0.8577, kappa: 0.4765, kb_relative_information_score: 3160.0917, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8561, predictive_accuracy: 0.8595, prior_entropy: 0.6457, recall: 0.8595, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3748, root_relative_squared_error: 1.0105, total_cost: 1808,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, average_cost: 0.2153, f_measure: 0.8602, kappa: 0.4768, kb_relative_information_score: 3350.6317, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9919, total_cost: 1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, average_cost: 0.2233, f_measure: 0.8546, kappa: 0.4562, kb_relative_information_score: 3151.2294, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8515, predictive_accuracy: 0.8593, prior_entropy: 0.6457, recall: 0.8593, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.0113, total_cost: 1871,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, average_cost: 0.6024, f_measure: 0.4282, kappa: 0.1095, kb_relative_information_score: -14902.9359, mean_absolute_error: 0.5435, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8601, predictive_accuracy: 0.4006, prior_entropy: 0.6457, recall: 0.4006, relative_absolute_error: 1.9748, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5964, root_relative_squared_error: 1.6078, total_cost: 5047,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, average_cost: 0.2148, f_measure: 0.8582, kappa: 0.479, kb_relative_information_score: 3168.9541, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8568, predictive_accuracy: 0.8598, prior_entropy: 0.6457, recall: 0.8598, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.0096, total_cost: 1800,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, average_cost: 0.2153, f_measure: 0.8602, kappa: 0.4768, kb_relative_information_score: 3350.6317, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9919, total_cost: 1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: 2216.613, mean_absolute_error: 0.1671, 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: 0.607, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3975, root_relative_squared_error: 1.0718, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, average_cost: 0.2153, f_measure: 0.8602, kappa: 0.4768, kb_relative_information_score: 3350.6317, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9919, total_cost: 1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, average_cost: 0.3292, f_measure: 0.7606, kappa: 0.0012, kb_relative_information_score: 2140.2274, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8625, predictive_accuracy: 0.8354, prior_entropy: 0.6457, recall: 0.8354, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.9506, total_cost: 2758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, average_cost: 0.2153, f_measure: 0.8602, kappa: 0.4768, kb_relative_information_score: 3350.6317, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9919, total_cost: 1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, average_cost: 0.2153, f_measure: 0.8602, kappa: 0.4768, kb_relative_information_score: 3350.6317, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9919, total_cost: 1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: 2240.9336, mean_absolute_error: 0.1658, 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: 0.6023, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4013, root_relative_squared_error: 1.0818, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, average_cost: 0.2153, f_measure: 0.8602, kappa: 0.4768, kb_relative_information_score: 3350.6317, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9919, total_cost: 1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, average_cost: 0.2393, f_measure: 0.8386, kappa: 0.4227, kb_relative_information_score: -609.227, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8414, predictive_accuracy: 0.8361, prior_entropy: 0.6457, recall: 0.8361, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.9067, total_cost: 2005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, average_cost: 0.2153, f_measure: 0.8602, kappa: 0.4768, kb_relative_information_score: 3350.6317, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9919, total_cost: 1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, average_cost: 0.2153, f_measure: 0.8602, kappa: 0.4768, kb_relative_information_score: 3350.6317, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9919, total_cost: 1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 0.3294, f_measure: 0.7603, kb_relative_information_score: 2239.7477, mean_absolute_error: 0.1658, 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: 0.6025, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0907, total_cost: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, average_cost: 0.2153, f_measure: 0.8602, kappa: 0.4768, kb_relative_information_score: 3350.6317, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8572, predictive_accuracy: 0.8646, prior_entropy: 0.6457, recall: 0.8646, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9919, total_cost: 1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, average_cost: 0.2156, f_measure: 0.86, kappa: 0.4761, kb_relative_information_score: 3346.2005, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8571, predictive_accuracy: 0.8645, prior_entropy: 0.6457, recall: 0.8645, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9923, total_cost: 1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, average_cost: 0.2156, f_measure: 0.86, kappa: 0.4761, kb_relative_information_score: 3346.2005, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8571, predictive_accuracy: 0.8645, prior_entropy: 0.6457, recall: 0.8645, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9923, total_cost: 1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, average_cost: 0.2158, f_measure: 0.8599, kappa: 0.4755, kb_relative_information_score: 3341.7694, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8569, predictive_accuracy: 0.8644, prior_entropy: 0.6457, recall: 0.8644, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9927, total_cost: 1808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, average_cost: 0.2158, f_measure: 0.8599, kappa: 0.4755, kb_relative_information_score: 3341.7694, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8569, predictive_accuracy: 0.8644, prior_entropy: 0.6457, recall: 0.8644, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9927, total_cost: 1808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, average_cost: 0.216, f_measure: 0.8597, kappa: 0.4749, kb_relative_information_score: 3337.3382, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8567, predictive_accuracy: 0.8643, prior_entropy: 0.6457, recall: 0.8643, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9932, total_cost: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, average_cost: 0.216, f_measure: 0.8597, kappa: 0.4749, kb_relative_information_score: 3337.3382, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8567, predictive_accuracy: 0.8643, prior_entropy: 0.6457, recall: 0.8643, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9932, total_cost: 1810,

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

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

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

OpenML APIs