Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7775, kappa: 0.5537, kb_relative_information_score: 1505.5232, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7798, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9659, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8023, kappa: 0.6014, kb_relative_information_score: 1508.7967, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8022, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8078, kappa: 0.6124, kb_relative_information_score: 1534.0534, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.3813, kb_relative_information_score: 27.4576, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.3813, kb_relative_information_score: 33.6561, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.3932, kappa: 0.0126, kb_relative_information_score: 81.486, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.5476, prior_entropy: 0.9948, recall: 0.5476, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.565, kappa: 0.2126, kb_relative_information_score: 181.6474, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.6321, prior_entropy: 0.9948, recall: 0.6321, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7655, kappa: 0.5269, kb_relative_information_score: 1479.0331, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7655, kappa: 0.5269, kb_relative_information_score: 1479.0331, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7632, kappa: 0.5222, kb_relative_information_score: 1163.1209, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7638, predictive_accuracy: 0.7641, prior_entropy: 0.9948, recall: 0.7641, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.7772, kappa: 0.5507, kb_relative_information_score: 1471.7699, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7773, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8118, kappa: 0.6204, kb_relative_information_score: 1839.3228, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8119, predictive_accuracy: 0.8121, prior_entropy: 0.9948, recall: 0.8121, relative_absolute_error: 0.5422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8077, kappa: 0.6121, kb_relative_information_score: 2121.3844, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 994.1548, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7457, kappa: 0.4876, kb_relative_information_score: 865.8216, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7456, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7433, kappa: 0.4822, kb_relative_information_score: 1184.6014, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7433, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7951, kappa: 0.5867, kb_relative_information_score: 1597.9143, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7628, kappa: 0.5216, kb_relative_information_score: 1624.2643, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8086, kappa: 0.6141, kb_relative_information_score: 1847.1615, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8086, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.6675, kappa: 0.3586, kb_relative_information_score: 1334.8347, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7039, predictive_accuracy: 0.6724, prior_entropy: 0.9948, recall: 0.6724, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7102, kappa: 0.4152, kb_relative_information_score: 703.5607, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7109, predictive_accuracy: 0.7115, prior_entropy: 0.9948, recall: 0.7115, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7146, kappa: 0.4265, kb_relative_information_score: 473.8753, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7254, predictive_accuracy: 0.7203, prior_entropy: 0.9948, recall: 0.7203, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.799, kappa: 0.5944, kb_relative_information_score: 1447.4573, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7603, kappa: 0.5164, kb_relative_information_score: 507.8068, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.783, kappa: 0.5621, kb_relative_information_score: 1179.599, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7838, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8, kappa: 0.5967, kb_relative_information_score: 2203.701, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, f_measure: 0.4042, kappa: 0.013, kb_relative_information_score: 313.6975, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5728, predictive_accuracy: 0.5465, prior_entropy: 0.9948, recall: 0.5465, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6734, root_relative_squared_error: 1.3517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.7095, kappa: 0.4145, kb_relative_information_score: 1576.3541, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7146, predictive_accuracy: 0.7131, prior_entropy: 0.9948, recall: 0.7131, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.0731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2742, f_measure: 0.277, kappa: -0.4483, kb_relative_information_score: -1739.3761, mean_absolute_error: 0.7243, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2793, predictive_accuracy: 0.2757, prior_entropy: 0.9948, recall: 0.2757, relative_absolute_error: 1.4591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.8511, root_relative_squared_error: 1.7083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.7047, kappa: 0.4066, kb_relative_information_score: 1502.6868, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7058, predictive_accuracy: 0.7043, prior_entropy: 0.9948, recall: 0.7043, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.7997, kappa: 0.596, kb_relative_information_score: 1697.3375, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8034, kappa: 0.6035, kb_relative_information_score: 1689.7252, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7984, kappa: 0.5936, kb_relative_information_score: 1507.0661, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7927, kappa: 0.5818, kb_relative_information_score: 1398.4085, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7815, kappa: 0.559, kb_relative_information_score: 1266.2168, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7827, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.3907, kappa: 0.0096, kb_relative_information_score: 77.0562, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7261, predictive_accuracy: 0.5463, prior_entropy: 0.9948, recall: 0.5463, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.4496, kappa: 0.072, kb_relative_information_score: 127.3518, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7238, predictive_accuracy: 0.5724, prior_entropy: 0.9948, recall: 0.5724, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.438, kappa: 0.0588, kb_relative_information_score: 128.5033, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7185, predictive_accuracy: 0.5668, prior_entropy: 0.9948, recall: 0.5668, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.7979, kappa: 0.5926, kb_relative_information_score: 2182.2097, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7979, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.6793, kappa: 0.3665, kb_relative_information_score: 309.0116, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7161, predictive_accuracy: 0.6953, prior_entropy: 0.9948, recall: 0.6953, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.6793, kappa: 0.3665, kb_relative_information_score: 309.0116, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7161, predictive_accuracy: 0.6953, prior_entropy: 0.9948, recall: 0.6953, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7929, kappa: 0.5824, kb_relative_information_score: 2151.1623, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7929, kappa: 0.5824, kb_relative_information_score: 2151.1623, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7331, kappa: 0.4632, kb_relative_information_score: 1318.5445, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7337, predictive_accuracy: 0.7329, prior_entropy: 0.9948, recall: 0.7329, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7469, kappa: 0.4896, kb_relative_information_score: 1838.0347, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7468, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.7802, kappa: 0.5564, kb_relative_information_score: 1274.2799, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7812, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7931,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7876, kappa: 0.5714, kb_relative_information_score: 1271.9756, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7889, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7655, kappa: 0.5269, kb_relative_information_score: 1479.034, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.7974, kappa: 0.5915, kb_relative_information_score: 1413.7509, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7812, kappa: 0.5585, kb_relative_information_score: 1028.2167, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7823, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.828,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7854, kappa: 0.5669, kb_relative_information_score: 1225.0458, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7862, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.795, kappa: 0.5865, kb_relative_information_score: 1767.6151, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7347, kappa: 0.4652, kb_relative_information_score: 1608.5491, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7346, predictive_accuracy: 0.735, prior_entropy: 0.9948, recall: 0.735, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7662, kappa: 0.5285, kb_relative_information_score: 0.5046, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8054, kappa: 0.6076, kb_relative_information_score: 1505.583, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8054, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8094, kappa: 0.6157, kb_relative_information_score: 1512.1197, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7965, kappa: 0.5897, kb_relative_information_score: 2141.8381, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7966, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8055, kappa: 0.6078, kb_relative_information_score: 1512.4822, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8054, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8012, kappa: 0.5993, kb_relative_information_score: 1496.8037, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.7999, kappa: 0.5968, kb_relative_information_score: 1499.8357, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7663, kappa: 0.5285, kb_relative_information_score: 1228.1579, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7667, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8027, kappa: 0.6022, kb_relative_information_score: 1536.8729, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7558, kappa: 0.5072, kb_relative_information_score: 695.0599, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8067, kappa: 0.6102, kb_relative_information_score: 1521.172, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8051, kappa: 0.6069, kb_relative_information_score: 1532.8582, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.735, kappa: 0.4658, kb_relative_information_score: 1744.3827, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7349, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7883, kappa: 0.573, kb_relative_information_score: 1579.6596, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7886, predictive_accuracy: 0.7889, prior_entropy: 0.9948, recall: 0.7889, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.8104, kappa: 0.6176, kb_relative_information_score: 1646.3326, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8105, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8059, kappa: 0.6086, kb_relative_information_score: 1533.084, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.4661, kappa: 0.086, kb_relative_information_score: 158.6889, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6953, predictive_accuracy: 0.5777, prior_entropy: 0.9948, recall: 0.5777, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8108, kappa: 0.6184, kb_relative_information_score: 1516.4124, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.755, kappa: 0.5062, kb_relative_information_score: 293.441, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7607, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.755, kappa: 0.5062, kb_relative_information_score: 293.441, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7607, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7632, kappa: 0.5221, kb_relative_information_score: 898.092, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.765, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.8112, kappa: 0.6192, kb_relative_information_score: 1646.0605, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.791, kappa: 0.5783, kb_relative_information_score: 1509.6047, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7914, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1533.0756, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7951, kappa: 0.5867, kb_relative_information_score: 1628.6367, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7655, kappa: 0.5269, kb_relative_information_score: 1479.034, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8115, kappa: 0.6199, kb_relative_information_score: 1623.909, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7471, kappa: 0.4902, kb_relative_information_score: 1824.0997, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.747, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.793, kappa: 0.5825, kb_relative_information_score: 764.9151, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7976, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8118, kappa: 0.6204, kb_relative_information_score: 1916.0207, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8119, predictive_accuracy: 0.8121, prior_entropy: 0.9948, recall: 0.8121, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8068, kappa: 0.6106, kb_relative_information_score: 1572.1864, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7419, kappa: 0.4796, kb_relative_information_score: 876.2344, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7418, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7598, kappa: 0.5159, kb_relative_information_score: 1113.0036, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7598, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.809, kappa: 0.6148, kb_relative_information_score: 1958.8338, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7896, kappa: 0.5756, kb_relative_information_score: 1594.9154, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7896, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7912, kappa: 0.5789, kb_relative_information_score: 1485.045, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.7752, kappa: 0.5469, kb_relative_information_score: 1290.4367, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7751, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.811, kappa: 0.6188, kb_relative_information_score: 1917.819, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7742, kappa: 0.5445, kb_relative_information_score: 1649.0044, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7744, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.766, kappa: 0.528, kb_relative_information_score: 1714.8559, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7661, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8387,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs