OpenML
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 145857 Supervised Classification phoneme 102354 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8758, kappa: 0.6998, kb_relative_information_score: 2921.6017, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8755, predictive_accuracy: 0.876, prior_entropy: 0.8733, recall: 0.876, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6527, scimark_benchmark: 1805.715, usercpu_time_millis: 53.226, usercpu_time_millis_testing: 1.851, usercpu_time_millis_training: 51.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8976, kappa: 0.7524, kb_relative_information_score: 3251.7489, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8974, predictive_accuracy: 0.8979, prior_entropy: 0.8733, recall: 0.8979, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.6012, scimark_benchmark: 1854.4282, usercpu_time_millis: 93.344, usercpu_time_millis_testing: 4.609, usercpu_time_millis_training: 88.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9033, kappa: 0.7661, kb_relative_information_score: 3594.7102, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9031, predictive_accuracy: 0.9036, prior_entropy: 0.8733, recall: 0.9036, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5836, scimark_benchmark: 1854.9533, usercpu_time_millis: 89.764, usercpu_time_millis_testing: 3.431, usercpu_time_millis_training: 86.333,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8928, kappa: 0.7405, kb_relative_information_score: 3102.0567, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8925, predictive_accuracy: 0.8932, prior_entropy: 0.8733, recall: 0.8932, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.6206, scimark_benchmark: 1815.0712, usercpu_time_millis: 66.952, usercpu_time_millis_testing: 3.701, usercpu_time_millis_training: 63.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9017, kappa: 0.762, kb_relative_information_score: 3512.0123, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9014, predictive_accuracy: 0.9021, prior_entropy: 0.8733, recall: 0.9021, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5971, scimark_benchmark: 1849.8294, usercpu_time_millis: 88.39, usercpu_time_millis_testing: 2.99, usercpu_time_millis_training: 85.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8967, kappa: 0.7506, kb_relative_information_score: 3219.4643, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8966, predictive_accuracy: 0.8969, prior_entropy: 0.8733, recall: 0.8969, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.6086, scimark_benchmark: 1844.2371, usercpu_time_millis: 85.265, usercpu_time_millis_testing: 4.283, usercpu_time_millis_training: 80.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.891, kappa: 0.7361, kb_relative_information_score: 3015.7578, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8907, predictive_accuracy: 0.8916, prior_entropy: 0.8733, recall: 0.8916, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.6319, scimark_benchmark: 1849.7595, usercpu_time_millis: 59.947, usercpu_time_millis_testing: 3.278, usercpu_time_millis_training: 56.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8958, kappa: 0.748, kb_relative_information_score: 3441.4389, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8956, predictive_accuracy: 0.8962, prior_entropy: 0.8733, recall: 0.8962, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.6138, scimark_benchmark: 1808.2177, usercpu_time_millis: 48.887, usercpu_time_millis_testing: 1.277, usercpu_time_millis_training: 47.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9014, kappa: 0.7617, kb_relative_information_score: 3402.3236, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9012, predictive_accuracy: 0.9016, prior_entropy: 0.8733, recall: 0.9016, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5944, scimark_benchmark: 1847.8034, usercpu_time_millis: 49.006, usercpu_time_millis_testing: 1.593, usercpu_time_millis_training: 47.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8978, kappa: 0.7532, kb_relative_information_score: 3260.9368, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8977, predictive_accuracy: 0.898, prior_entropy: 0.8733, recall: 0.898, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.6023, scimark_benchmark: 1862.8928, usercpu_time_millis: 59.069, usercpu_time_millis_testing: 2.61, usercpu_time_millis_training: 56.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8643, kappa: 0.6707, kb_relative_information_score: 2674.6266, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8637, predictive_accuracy: 0.8653, prior_entropy: 0.8733, recall: 0.8653, relative_absolute_error: 0.5138, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6847, scimark_benchmark: 1862.82, usercpu_time_millis: 89.308, usercpu_time_millis_testing: 3.185, usercpu_time_millis_training: 86.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8738, kappa: 0.6946, kb_relative_information_score: 2868.6684, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8735, predictive_accuracy: 0.8744, prior_entropy: 0.8733, recall: 0.8744, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.659, scimark_benchmark: 1806.7562, usercpu_time_millis: 47.391, usercpu_time_millis_testing: 1.858, usercpu_time_millis_training: 45.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.889, kappa: 0.7311, kb_relative_information_score: 2871.4152, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8886, predictive_accuracy: 0.8895, prior_entropy: 0.8733, recall: 0.8895, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6416, scimark_benchmark: 1848.3343, usercpu_time_millis: 46.351, usercpu_time_millis_testing: 4.246, usercpu_time_millis_training: 42.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8783, kappa: 0.7044, kb_relative_information_score: 2764.1793, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8778, predictive_accuracy: 0.8792, prior_entropy: 0.8733, recall: 0.8792, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6638, scimark_benchmark: 1811.8207, usercpu_time_millis: 46.004, usercpu_time_millis_testing: 3.454, usercpu_time_millis_training: 42.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8974, kappa: 0.7517, kb_relative_information_score: 3223.8176, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8971, predictive_accuracy: 0.8979, prior_entropy: 0.8733, recall: 0.8979, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.6053, scimark_benchmark: 1830.7134, usercpu_time_millis: 53.574, usercpu_time_millis_testing: 2.836, usercpu_time_millis_training: 50.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8542, kappa: 0.6453, kb_relative_information_score: 2330.229, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8535, predictive_accuracy: 0.8557, prior_entropy: 0.8733, recall: 0.8557, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.7184, scimark_benchmark: 1816.3742, usercpu_time_millis: 43.466, usercpu_time_millis_testing: 2.337, usercpu_time_millis_training: 41.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8955, kappa: 0.7471, kb_relative_information_score: 3118.9885, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8952, predictive_accuracy: 0.8958, prior_entropy: 0.8733, recall: 0.8958, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.6159, scimark_benchmark: 1835.093, usercpu_time_millis: 40.676, usercpu_time_millis_testing: 2.935, usercpu_time_millis_training: 37.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8442, kappa: 0.6195, kb_relative_information_score: 2167.2989, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8433, predictive_accuracy: 0.8464, prior_entropy: 0.8733, recall: 0.8464, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.7438, scimark_benchmark: 1853.5297, usercpu_time_millis: 42.865, usercpu_time_millis_testing: 1.905, usercpu_time_millis_training: 40.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9096, kappa: 0.7813, kb_relative_information_score: 3515.861, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9094, predictive_accuracy: 0.9099, prior_entropy: 0.8733, recall: 0.9099, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5702, scimark_benchmark: 1855.4813, usercpu_time_millis: 46.699, usercpu_time_millis_testing: 2.871, usercpu_time_millis_training: 43.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8844, kappa: 0.7199, kb_relative_information_score: 2844.7011, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.884, predictive_accuracy: 0.8849, prior_entropy: 0.8733, recall: 0.8849, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.6512, scimark_benchmark: 1859.1356, usercpu_time_millis: 36.246, usercpu_time_millis_testing: 3.204, usercpu_time_millis_training: 33.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9034, kappa: 0.7662, kb_relative_information_score: 3254.032, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9031, predictive_accuracy: 0.9038, prior_entropy: 0.8733, recall: 0.9038, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5972, scimark_benchmark: 1830.1732, usercpu_time_millis: 63.187, usercpu_time_millis_testing: 4.347, usercpu_time_millis_training: 58.84,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8962, kappa: 0.7489, kb_relative_information_score: 3116.6094, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8959, predictive_accuracy: 0.8966, prior_entropy: 0.8733, recall: 0.8966, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.6151, scimark_benchmark: 1829.1442, usercpu_time_millis: 51.806, usercpu_time_millis_testing: 3.896, usercpu_time_millis_training: 47.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7761, kappa: 0.4557, kb_relative_information_score: 1586.3408, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7746, predictive_accuracy: 0.7781, prior_entropy: 0.8733, recall: 0.7781, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.8239, scimark_benchmark: 1827.3598, usercpu_time_millis: 37.074, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 35.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8966, kappa: 0.7498, kb_relative_information_score: 3160.7361, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8963, predictive_accuracy: 0.8969, prior_entropy: 0.8733, recall: 0.8969, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.6104, scimark_benchmark: 1823.5052, usercpu_time_millis: 49.487, usercpu_time_millis_testing: 2.788, usercpu_time_millis_training: 46.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8813, kappa: 0.7134, kb_relative_information_score: 2950.3933, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8812, predictive_accuracy: 0.8816, prior_entropy: 0.8733, recall: 0.8816, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.6469, scimark_benchmark: 1843.2539, usercpu_time_millis: 59.336, usercpu_time_millis_testing: 2.254, usercpu_time_millis_training: 57.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8739, kappa: 0.6942, kb_relative_information_score: 2757.3024, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8735, predictive_accuracy: 0.8747, prior_entropy: 0.8733, recall: 0.8747, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6691, scimark_benchmark: 1839.7862, usercpu_time_millis: 41.291, usercpu_time_millis_testing: 2.462, usercpu_time_millis_training: 38.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8703, kappa: 0.6848, kb_relative_information_score: 2526.4343, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8697, predictive_accuracy: 0.8714, prior_entropy: 0.8733, recall: 0.8714, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6865, scimark_benchmark: 1910.141, usercpu_time_millis: 35.35, usercpu_time_millis_testing: 2.621, usercpu_time_millis_training: 32.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9033, kappa: 0.766, kb_relative_information_score: 3346.0619, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.903, predictive_accuracy: 0.9036, prior_entropy: 0.8733, recall: 0.9036, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5887, scimark_benchmark: 1839.33, usercpu_time_millis: 66.644, usercpu_time_millis_testing: 4.189, usercpu_time_millis_training: 62.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8812, kappa: 0.7117, kb_relative_information_score: 2735.0819, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8807, predictive_accuracy: 0.8819, prior_entropy: 0.8733, recall: 0.8819, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6594, scimark_benchmark: 1859.1356, usercpu_time_millis: 42.465, usercpu_time_millis_testing: 2.997, usercpu_time_millis_training: 39.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8878, kappa: 0.7287, kb_relative_information_score: 3220.0347, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8875, predictive_accuracy: 0.888, prior_entropy: 0.8733, recall: 0.888, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.6198, scimark_benchmark: 1827.8179, usercpu_time_millis: 85.456, usercpu_time_millis_testing: 2.565, usercpu_time_millis_training: 82.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8982, kappa: 0.7541, kb_relative_information_score: 3238.476, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.898, predictive_accuracy: 0.8984, prior_entropy: 0.8733, recall: 0.8984, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.6037, scimark_benchmark: 1808.9842, usercpu_time_millis: 67.855, usercpu_time_millis_testing: 4.136, usercpu_time_millis_training: 63.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9014, kappa: 0.7616, kb_relative_information_score: 3306.5078, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9012, predictive_accuracy: 0.9016, prior_entropy: 0.8733, recall: 0.9016, relative_absolute_error: 0.4036, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5943, scimark_benchmark: 1859.1356, usercpu_time_millis: 52.882, usercpu_time_millis_testing: 2.62, usercpu_time_millis_training: 50.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9059, kappa: 0.7726, kb_relative_information_score: 3430.6375, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9057, predictive_accuracy: 0.9062, prior_entropy: 0.8733, recall: 0.9062, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5787, scimark_benchmark: 1805.715, usercpu_time_millis: 44.449, usercpu_time_millis_testing: 2.689, usercpu_time_millis_training: 41.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8318, kappa: 0.5882, kb_relative_information_score: 2062.1133, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8309, predictive_accuracy: 0.8349, prior_entropy: 0.8733, recall: 0.8349, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.7558, scimark_benchmark: 1840.6297, usercpu_time_millis: 36.159, usercpu_time_millis_testing: 1.498, usercpu_time_millis_training: 34.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8708, kappa: 0.6873, kb_relative_information_score: 2800.3226, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8704, predictive_accuracy: 0.8714, prior_entropy: 0.8733, recall: 0.8714, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6685, scimark_benchmark: 1858.6775, usercpu_time_millis: 42.486, usercpu_time_millis_testing: 1.567, usercpu_time_millis_training: 40.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8931, kappa: 0.7415, kb_relative_information_score: 3127.0581, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8928, predictive_accuracy: 0.8934, prior_entropy: 0.8733, recall: 0.8934, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.6197, scimark_benchmark: 1858.6076, usercpu_time_millis: 41.201, usercpu_time_millis_testing: 1.67, usercpu_time_millis_training: 39.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8672, kappa: 0.6784, kb_relative_information_score: 2843.9411, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8668, predictive_accuracy: 0.8679, prior_entropy: 0.8733, recall: 0.8679, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6667, scimark_benchmark: 1830.9378, usercpu_time_millis: 62.881, usercpu_time_millis_testing: 1.81, usercpu_time_millis_training: 61.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8476, kappa: 0.6298, kb_relative_information_score: 2811.6018, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8468, predictive_accuracy: 0.8488, prior_entropy: 0.8733, recall: 0.8488, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.7229, scimark_benchmark: 1851.8567, usercpu_time_millis: 27.678, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 27.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8547, kappa: 0.646, kb_relative_information_score: 2312.7705, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.854, predictive_accuracy: 0.8564, prior_entropy: 0.8733, recall: 0.8564, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.7234, scimark_benchmark: 1858.1494, usercpu_time_millis: 38.607, usercpu_time_millis_testing: 2.062, usercpu_time_millis_training: 36.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8875, kappa: 0.7273, kb_relative_information_score: 2831.3268, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8871, predictive_accuracy: 0.888, prior_entropy: 0.8733, recall: 0.888, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.6473, scimark_benchmark: 1855.4813, usercpu_time_millis: 26.433, usercpu_time_millis_testing: 1.893, usercpu_time_millis_training: 24.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.874, kappa: 0.6942, kb_relative_information_score: 2644.5303, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8735, predictive_accuracy: 0.8749, prior_entropy: 0.8733, recall: 0.8749, relative_absolute_error: 0.5242, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6773, scimark_benchmark: 1822.3184, usercpu_time_millis: 34.931, usercpu_time_millis_testing: 3.504, usercpu_time_millis_training: 31.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8688, kappa: 0.6812, kb_relative_information_score: 2531.0371, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8682, predictive_accuracy: 0.8699, prior_entropy: 0.8733, recall: 0.8699, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6924, scimark_benchmark: 1910.141, usercpu_time_millis: 24.21, usercpu_time_millis_testing: 2.494, usercpu_time_millis_training: 21.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8903, kappa: 0.7348, kb_relative_information_score: 3011.4418, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8901, predictive_accuracy: 0.8906, prior_entropy: 0.8733, recall: 0.8906, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6297, scimark_benchmark: 1821.405, usercpu_time_millis: 21.879, usercpu_time_millis_testing: 1.593, usercpu_time_millis_training: 20.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8704, kappa: 0.6849, kb_relative_information_score: 2528.3685, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8698, predictive_accuracy: 0.8716, prior_entropy: 0.8733, recall: 0.8716, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6869, scimark_benchmark: 1823.8876, usercpu_time_millis: 21.904, usercpu_time_millis_testing: 2.331, usercpu_time_millis_training: 19.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8963, kappa: 0.7494, kb_relative_information_score: 3238.4542, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8961, predictive_accuracy: 0.8966, prior_entropy: 0.8733, recall: 0.8966, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.6047, scimark_benchmark: 1857.6942, usercpu_time_millis: 64.899, usercpu_time_millis_testing: 2.832, usercpu_time_millis_training: 62.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.853, kappa: 0.6413, kb_relative_information_score: 2464.0696, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8523, predictive_accuracy: 0.8549, prior_entropy: 0.8733, recall: 0.8549, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.7122, scimark_benchmark: 1850.6636, usercpu_time_millis: 30.401, usercpu_time_millis_testing: 1.272, usercpu_time_millis_training: 29.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8289, kappa: 0.5792, kb_relative_information_score: 1983.0673, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8284, predictive_accuracy: 0.8331, prior_entropy: 0.8733, recall: 0.8331, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.7536, scimark_benchmark: 1818.0322, usercpu_time_millis: 21.797, usercpu_time_millis_testing: 1.738, usercpu_time_millis_training: 20.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8611, kappa: 0.6624, kb_relative_information_score: 2602.3795, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8605, predictive_accuracy: 0.8623, prior_entropy: 0.8733, recall: 0.8623, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6924, scimark_benchmark: 1859.7308, usercpu_time_millis: 32.253, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 31.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8094, kappa: 0.5348, kb_relative_information_score: 1826.9805, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.808, predictive_accuracy: 0.812, prior_entropy: 0.8733, recall: 0.812, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7783, scimark_benchmark: 1850.2875, usercpu_time_millis: 21.288, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 19.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8819, kappa: 0.7133, kb_relative_information_score: 2731.5634, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8814, predictive_accuracy: 0.8827, prior_entropy: 0.8733, recall: 0.8827, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6604, scimark_benchmark: 1857.6942, usercpu_time_millis: 27.463, usercpu_time_millis_testing: 1.873, usercpu_time_millis_training: 25.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8713, kappa: 0.6879, kb_relative_information_score: 2742.3655, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8708, predictive_accuracy: 0.8721, prior_entropy: 0.8733, recall: 0.8721, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6714, scimark_benchmark: 1827.3598, usercpu_time_millis: 27.265, usercpu_time_millis_testing: 1.884, usercpu_time_millis_training: 25.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8686, kappa: 0.682, kb_relative_information_score: 2830.3123, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8682, predictive_accuracy: 0.8692, prior_entropy: 0.8733, recall: 0.8692, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6671, scimark_benchmark: 1831.2443, usercpu_time_millis: 27.069, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 26.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8746, kappa: 0.6964, kb_relative_information_score: 2816.5244, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8742, predictive_accuracy: 0.8751, prior_entropy: 0.8733, recall: 0.8751, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6624, scimark_benchmark: 1855.4813, usercpu_time_millis: 32.386, usercpu_time_millis_testing: 1.915, usercpu_time_millis_training: 30.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8958, kappa: 0.7481, kb_relative_information_score: 3283.7869, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8956, predictive_accuracy: 0.896, prior_entropy: 0.8733, recall: 0.896, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.276, root_relative_squared_error: 0.6061, scimark_benchmark: 1850.9434, usercpu_time_millis: 64.963, usercpu_time_millis_testing: 2.386, usercpu_time_millis_training: 62.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7765, kappa: 0.4691, kb_relative_information_score: 1519.9133, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7807, predictive_accuracy: 0.7737, prior_entropy: 0.8733, recall: 0.7737, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.8332, scimark_benchmark: 1816.255, usercpu_time_millis: 16.794, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 16.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.7999, kappa: 0.5119, kb_relative_information_score: 1703.3132, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7984, predictive_accuracy: 0.8026, prior_entropy: 0.8733, recall: 0.8026, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7933, scimark_benchmark: 1823.8876, usercpu_time_millis: 15.386, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 13.857,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8748, kappa: 0.6956, kb_relative_information_score: 2579.9847, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8742, predictive_accuracy: 0.8758, prior_entropy: 0.8733, recall: 0.8758, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.68, scimark_benchmark: 1854.7365, usercpu_time_millis: 53.482, usercpu_time_millis_testing: 3.877, usercpu_time_millis_training: 49.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9073, kappa: 0.7756, kb_relative_information_score: 3495.7822, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9071, predictive_accuracy: 0.9077, prior_entropy: 0.8733, recall: 0.9077, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5751, scimark_benchmark: 1854.4282, usercpu_time_millis: 63.86, usercpu_time_millis_testing: 3.502, usercpu_time_millis_training: 60.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7799, kappa: 0.4694, kb_relative_information_score: 1564.8356, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.78, predictive_accuracy: 0.7798, prior_entropy: 0.8733, recall: 0.7798, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.375, root_relative_squared_error: 0.8236, scimark_benchmark: 1825.7178, usercpu_time_millis: 29.54, usercpu_time_millis_testing: 1.377, usercpu_time_millis_training: 28.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9019, kappa: 0.7627, kb_relative_information_score: 3264.0389, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9017, predictive_accuracy: 0.9023, prior_entropy: 0.8733, recall: 0.9023, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5966, scimark_benchmark: 1819.1433, usercpu_time_millis: 29.654, usercpu_time_millis_testing: 1.827, usercpu_time_millis_training: 27.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8563, kappa: 0.6506, kb_relative_information_score: 2655.6795, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8556, predictive_accuracy: 0.8575, prior_entropy: 0.8733, recall: 0.8575, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.692, scimark_benchmark: 1840.6297, usercpu_time_millis: 49.626, usercpu_time_millis_testing: 1.257, usercpu_time_millis_training: 48.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.876, kappa: 0.699, kb_relative_information_score: 2603.0274, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8755, predictive_accuracy: 0.8769, prior_entropy: 0.8733, recall: 0.8769, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6768, scimark_benchmark: 1813.848, usercpu_time_millis: 29.022, usercpu_time_millis_testing: 2.384, usercpu_time_millis_training: 26.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8884, kappa: 0.7299, kb_relative_information_score: 2873.2643, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8881, predictive_accuracy: 0.8888, prior_entropy: 0.8733, recall: 0.8888, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.6409, scimark_benchmark: 1815.0712, usercpu_time_millis: 28.983, usercpu_time_millis_testing: 2.053, usercpu_time_millis_training: 26.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.878, kappa: 0.7053, kb_relative_information_score: 2946.8604, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8778, predictive_accuracy: 0.8782, prior_entropy: 0.8733, recall: 0.8782, relative_absolute_error: 0.4659, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6487, scimark_benchmark: 1858.6775, usercpu_time_millis: 54.489, usercpu_time_millis_testing: 1.92, usercpu_time_millis_training: 52.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8558, kappa: 0.649, kb_relative_information_score: 2575.8448, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8551, predictive_accuracy: 0.8573, prior_entropy: 0.8733, recall: 0.8573, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.7001, scimark_benchmark: 1851.3986, usercpu_time_millis: 49.089, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 47.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8161, kappa: 0.5485, kb_relative_information_score: 1839.1157, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.815, predictive_accuracy: 0.8201, prior_entropy: 0.8733, recall: 0.8201, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7714, scimark_benchmark: 1859.1356, usercpu_time_millis: 11.579, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 10.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.886, kappa: 0.7237, kb_relative_information_score: 2839.3771, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8856, predictive_accuracy: 0.8866, prior_entropy: 0.8733, recall: 0.8866, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.646, scimark_benchmark: 1846.9123, usercpu_time_millis: 22.372, usercpu_time_millis_testing: 2.176, usercpu_time_millis_training: 20.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8568, kappa: 0.6533, kb_relative_information_score: 2891.8893, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8563, predictive_accuracy: 0.8573, prior_entropy: 0.8733, recall: 0.8573, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6934, scimark_benchmark: 1848.7715, usercpu_time_millis: 10.444, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 10.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8603, kappa: 0.6601, kb_relative_information_score: 2481.1234, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8597, predictive_accuracy: 0.8618, prior_entropy: 0.8733, recall: 0.8618, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.7039, scimark_benchmark: 1815.0712, usercpu_time_millis: 26.92, usercpu_time_millis_testing: 1.522, usercpu_time_millis_training: 25.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8512, kappa: 0.637, kb_relative_information_score: 2400.6122, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8505, predictive_accuracy: 0.8533, prior_entropy: 0.8733, recall: 0.8533, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.718, scimark_benchmark: 1836.735, usercpu_time_millis: 44.502, usercpu_time_millis_testing: 1.786, usercpu_time_millis_training: 42.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8744, kappa: 0.6951, kb_relative_information_score: 2604.0881, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8739, predictive_accuracy: 0.8753, prior_entropy: 0.8733, recall: 0.8753, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6771, scimark_benchmark: 1841.1577, usercpu_time_millis: 9.677, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 8.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8546, kappa: 0.6454, kb_relative_information_score: 2259.1172, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.854, predictive_accuracy: 0.8566, prior_entropy: 0.8733, recall: 0.8566, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.7208, scimark_benchmark: 1822.9742, usercpu_time_millis: 24.166, usercpu_time_millis_testing: 2.678, usercpu_time_millis_training: 21.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8661, kappa: 0.6741, kb_relative_information_score: 2453.7393, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8655, predictive_accuracy: 0.8675, prior_entropy: 0.8733, recall: 0.8675, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.696, scimark_benchmark: 1856.6531, usercpu_time_millis: 24.838, usercpu_time_millis_testing: 1.779, usercpu_time_millis_training: 23.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7719, kappa: 0.4508, kb_relative_information_score: 1265.1548, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7722, predictive_accuracy: 0.7717, prior_entropy: 0.8733, recall: 0.7717, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8555, scimark_benchmark: 1859.1356, usercpu_time_millis: 7.433, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 6.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8716, kappa: 0.6892, kb_relative_information_score: 2800.6451, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8712, predictive_accuracy: 0.8721, prior_entropy: 0.8733, recall: 0.8721, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6681, scimark_benchmark: 1840.6297, usercpu_time_millis: 7.328, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 7.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8695, kappa: 0.6832, kb_relative_information_score: 2694.3771, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.869, predictive_accuracy: 0.8705, prior_entropy: 0.8733, recall: 0.8705, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6776, scimark_benchmark: 1841.1577, usercpu_time_millis: 40.48, usercpu_time_millis_testing: 1.607, usercpu_time_millis_training: 38.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8924, kappa: 0.7398, kb_relative_information_score: 3173.0437, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8921, predictive_accuracy: 0.8927, prior_entropy: 0.8733, recall: 0.8927, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.6148, scimark_benchmark: 1853.454, usercpu_time_millis: 54.104, usercpu_time_millis_testing: 2.173, usercpu_time_millis_training: 51.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8269, kappa: 0.5752, kb_relative_information_score: 2010.778, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8261, predictive_accuracy: 0.8307, prior_entropy: 0.8733, recall: 0.8307, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7588, scimark_benchmark: 1820.7612, usercpu_time_millis: 5.645, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 5.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9058, kappa: 0.7721, kb_relative_information_score: 3517.1412, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9056, predictive_accuracy: 0.9062, prior_entropy: 0.8733, recall: 0.9062, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5803, scimark_benchmark: 1858.6775, usercpu_time_millis: 18.503, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 17.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.7927, kappa: 0.496, kb_relative_information_score: 1679.367, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7914, predictive_accuracy: 0.7946, prior_entropy: 0.8733, recall: 0.7946, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.8047, scimark_benchmark: 1839.6613, usercpu_time_millis: 14.729, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 13.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8872, kappa: 0.7271, kb_relative_information_score: 3040.12, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8869, predictive_accuracy: 0.8875, prior_entropy: 0.8733, recall: 0.8875, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.6299, scimark_benchmark: 1855.0232, usercpu_time_millis: 50.598, usercpu_time_millis_testing: 2.742, usercpu_time_millis_training: 47.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8991, kappa: 0.756, kb_relative_information_score: 3084.6701, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8989, predictive_accuracy: 0.8995, prior_entropy: 0.8733, recall: 0.8995, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.6123, scimark_benchmark: 1842.7957, usercpu_time_millis: 29.147, usercpu_time_millis_testing: 2.59, usercpu_time_millis_training: 26.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.7961, kappa: 0.498, kb_relative_information_score: 1587.6879, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7947, predictive_accuracy: 0.8014, prior_entropy: 0.8733, recall: 0.8014, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.8012, scimark_benchmark: 1856.1949, usercpu_time_millis: 6.907, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 6.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8667, kappa: 0.6759, kb_relative_information_score: 2473.2805, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8661, predictive_accuracy: 0.8679, prior_entropy: 0.8733, recall: 0.8679, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6952, scimark_benchmark: 1830.7134, usercpu_time_millis: 2.66, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 2.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7876, kappa: 0.4804, kb_relative_information_score: 1541.0004, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7857, predictive_accuracy: 0.7911, prior_entropy: 0.8733, recall: 0.7911, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.8144, scimark_benchmark: 1802.1407, usercpu_time_millis: 4.634, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 4.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7692, kappa: 0.4272, kb_relative_information_score: 1358.0088, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7684, predictive_accuracy: 0.7789, prior_entropy: 0.8733, recall: 0.7789, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.8274, scimark_benchmark: 1806.7562, usercpu_time_millis: 3.396, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 2.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8901, kappa: 0.734, kb_relative_information_score: 2897.7112, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8898, predictive_accuracy: 0.8906, prior_entropy: 0.8733, recall: 0.8906, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.6388, scimark_benchmark: 1813.9208, usercpu_time_millis: 18.644, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 17.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8343, kappa: 0.596, kb_relative_information_score: 2083.6246, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8333, predictive_accuracy: 0.8364, prior_entropy: 0.8733, recall: 0.8364, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7535, scimark_benchmark: 1853.5818, usercpu_time_millis: 3.621, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 3.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.585, kb_relative_information_score: 0.637, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1834.1671, usercpu_time_millis: 6.506, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 5.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8264, kappa: 0.5739, kb_relative_information_score: 2034.2905, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8256, predictive_accuracy: 0.8301, prior_entropy: 0.8733, recall: 0.8301, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7562, scimark_benchmark: 1817.6993, usercpu_time_millis: 20.955, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 20.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8884, kappa: 0.7303, kb_relative_information_score: 3253.9155, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8882, predictive_accuracy: 0.8886, prior_entropy: 0.8733, recall: 0.8886, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.6219, scimark_benchmark: 1827.8179, usercpu_time_millis: 21.64, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 21.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.585, kb_relative_information_score: -0.1184, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1818.4176, usercpu_time_millis: 6.738, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 5.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8762, kappa: 0.6999, kb_relative_information_score: 2836.2691, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8758, predictive_accuracy: 0.8769, prior_entropy: 0.8733, recall: 0.8769, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6589, scimark_benchmark: 1853.5818, usercpu_time_millis: 54.102, usercpu_time_millis_testing: 3.368, usercpu_time_millis_training: 50.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8224, kappa: 0.5655, kb_relative_information_score: 1966.0787, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8213, predictive_accuracy: 0.8255, prior_entropy: 0.8733, recall: 0.8255, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7662, scimark_benchmark: 1844.6953, usercpu_time_millis: 5.937, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 5.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8979, kappa: 0.7525, kb_relative_information_score: 3034.0981, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8976, predictive_accuracy: 0.8984, prior_entropy: 0.8733, recall: 0.8984, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.282, root_relative_squared_error: 0.6193, scimark_benchmark: 1830.7134, usercpu_time_millis: 11.063, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 10.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8346, kappa: 0.5938, kb_relative_information_score: 2069.1498, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8341, predictive_accuracy: 0.8383, prior_entropy: 0.8733, recall: 0.8383, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7429, scimark_benchmark: 1843.8624, usercpu_time_millis: 5.2, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 4.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8598, kappa: 0.6588, kb_relative_information_score: 2465.2083, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8591, predictive_accuracy: 0.8612, prior_entropy: 0.8733, recall: 0.8612, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.7057, scimark_benchmark: 1850.9434, usercpu_time_millis: 40.856, usercpu_time_millis_testing: 2.188, usercpu_time_millis_training: 38.668,

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