Task
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: 0.9567, f_measure: 0.9011, kappa: 0.7607, kb_relative_information_score: 3345.8578, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9008, predictive_accuracy: 0.9014, prior_entropy: 0.8733, recall: 0.9014, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.597, scimark_benchmark: 1855.4813, usercpu_time_millis: 91.623, usercpu_time_millis_testing: 3.641, usercpu_time_millis_training: 87.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9021, kappa: 0.7634, kb_relative_information_score: 3375.639, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9019, predictive_accuracy: 0.9023, prior_entropy: 0.8733, recall: 0.9023, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5931, scimark_benchmark: 1708.2487, usercpu_time_millis: 80.411, usercpu_time_millis_testing: 2.709, usercpu_time_millis_training: 77.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.898, kappa: 0.7534, kb_relative_information_score: 3275.1751, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8978, predictive_accuracy: 0.8982, prior_entropy: 0.8733, recall: 0.8982, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.6035, scimark_benchmark: 1712.972, usercpu_time_millis: 75.476, usercpu_time_millis_testing: 3.192, usercpu_time_millis_training: 72.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8999, kappa: 0.758, kb_relative_information_score: 3189.9164, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8997, predictive_accuracy: 0.9003, prior_entropy: 0.8733, recall: 0.9003, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.6068, scimark_benchmark: 1720.0664, usercpu_time_millis: 52.797, usercpu_time_millis_testing: 3.285, usercpu_time_millis_training: 49.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8941, kappa: 0.7438, kb_relative_information_score: 3152.6453, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8938, predictive_accuracy: 0.8943, prior_entropy: 0.8733, recall: 0.8943, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6169, scimark_benchmark: 1769.1796, usercpu_time_millis: 48.198, usercpu_time_millis_testing: 1.747, usercpu_time_millis_training: 46.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8723, kappa: 0.6896, kb_relative_information_score: 2554.6474, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8718, predictive_accuracy: 0.8734, prior_entropy: 0.8733, recall: 0.8734, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.311, root_relative_squared_error: 0.683, scimark_benchmark: 1740.9178, usercpu_time_millis: 48.131, usercpu_time_millis_testing: 3.381, usercpu_time_millis_training: 44.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8333, kappa: 0.5932, kb_relative_information_score: 2361.9409, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8322, predictive_accuracy: 0.8355, prior_entropy: 0.8733, recall: 0.8355, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.7391, scimark_benchmark: 1730.387, usercpu_time_millis: 103.211, usercpu_time_millis_testing: 3.014, usercpu_time_millis_training: 100.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8927, kappa: 0.7403, kb_relative_information_score: 3046.4916, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8924, predictive_accuracy: 0.893, prior_entropy: 0.8733, recall: 0.893, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.627, scimark_benchmark: 1740.1131, usercpu_time_millis: 59.51, usercpu_time_millis_testing: 3.712, usercpu_time_millis_training: 55.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.876, kappa: 0.6999, kb_relative_information_score: 3014.2736, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8756, predictive_accuracy: 0.8764, prior_entropy: 0.8733, recall: 0.8764, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6495, scimark_benchmark: 1740.1736, usercpu_time_millis: 59.976, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 58.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.893, kappa: 0.7415, kb_relative_information_score: 3221.6357, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8928, predictive_accuracy: 0.8932, prior_entropy: 0.8733, recall: 0.8932, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.6102, scimark_benchmark: 1909.4278, usercpu_time_millis: 95.302, usercpu_time_millis_testing: 3.249, usercpu_time_millis_training: 92.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7744, kappa: 0.4453, kb_relative_information_score: 1595.085, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7721, predictive_accuracy: 0.7798, prior_entropy: 0.8733, recall: 0.7798, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.8259, scimark_benchmark: 1727.6802, usercpu_time_millis: 45.72, usercpu_time_millis_testing: 1.868, usercpu_time_millis_training: 43.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8909, kappa: 0.7356, kb_relative_information_score: 2967.466, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8905, predictive_accuracy: 0.8914, prior_entropy: 0.8733, recall: 0.8914, relative_absolute_error: 0.4665, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.6351, scimark_benchmark: 1737.4053, usercpu_time_millis: 41.048, usercpu_time_millis_testing: 3.499, usercpu_time_millis_training: 37.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8314, kappa: 0.589, kb_relative_information_score: 2364.3088, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8303, predictive_accuracy: 0.8335, prior_entropy: 0.8733, recall: 0.8335, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7399, scimark_benchmark: 1775.7291, usercpu_time_millis: 65.407, usercpu_time_millis_testing: 1.699, usercpu_time_millis_training: 63.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8777, kappa: 0.7037, kb_relative_information_score: 2857.7694, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8773, predictive_accuracy: 0.8782, prior_entropy: 0.8733, recall: 0.8782, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6563, scimark_benchmark: 1901.1443, usercpu_time_millis: 40.37, usercpu_time_millis_testing: 2.125, usercpu_time_millis_training: 38.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8821, kappa: 0.714, kb_relative_information_score: 2740.7404, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8817, predictive_accuracy: 0.8829, prior_entropy: 0.8733, recall: 0.8829, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6586, scimark_benchmark: 1773.5421, usercpu_time_millis: 42.453, usercpu_time_millis_testing: 3.889, usercpu_time_millis_training: 38.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8892, kappa: 0.7318, kb_relative_information_score: 2969.774, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8889, predictive_accuracy: 0.8897, prior_entropy: 0.8733, recall: 0.8897, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.6357, scimark_benchmark: 1742.0113, usercpu_time_millis: 53.414, usercpu_time_millis_testing: 4.064, usercpu_time_millis_training: 49.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.877, kappa: 0.7021, kb_relative_information_score: 2834.7777, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8766, predictive_accuracy: 0.8775, prior_entropy: 0.8733, recall: 0.8775, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6575, scimark_benchmark: 1858.0974, usercpu_time_millis: 51.343, usercpu_time_millis_testing: 3.514, usercpu_time_millis_training: 47.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8604, kappa: 0.6605, kb_relative_information_score: 2520.6838, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8598, predictive_accuracy: 0.8618, prior_entropy: 0.8733, recall: 0.8618, relative_absolute_error: 0.5424, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.7014, scimark_benchmark: 1735.4107, usercpu_time_millis: 34.867, usercpu_time_millis_testing: 2.313, usercpu_time_millis_training: 32.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9081, kappa: 0.7778, kb_relative_information_score: 3577.7392, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9079, predictive_accuracy: 0.9084, prior_entropy: 0.8733, recall: 0.9084, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5655, scimark_benchmark: 1769.7814, usercpu_time_millis: 36.957, usercpu_time_millis_testing: 2.312, usercpu_time_millis_training: 34.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8573, kappa: 0.6526, kb_relative_information_score: 2332.6568, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8566, predictive_accuracy: 0.8588, prior_entropy: 0.8733, recall: 0.8588, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.7166, scimark_benchmark: 1817.0282, usercpu_time_millis: 41.303, usercpu_time_millis_testing: 2.313, usercpu_time_millis_training: 38.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9008, kappa: 0.7603, kb_relative_information_score: 3279.6679, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9006, predictive_accuracy: 0.901, prior_entropy: 0.8733, recall: 0.901, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5972, scimark_benchmark: 1717.7384, usercpu_time_millis: 82.668, usercpu_time_millis_testing: 4.667, usercpu_time_millis_training: 78.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8758, kappa: 0.6993, kb_relative_information_score: 2844.4782, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8754, predictive_accuracy: 0.8764, prior_entropy: 0.8733, recall: 0.8764, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6578, scimark_benchmark: 1740.1131, usercpu_time_millis: 57.942, usercpu_time_millis_testing: 3.624, usercpu_time_millis_training: 54.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8811, kappa: 0.7117, kb_relative_information_score: 2818.3216, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8807, predictive_accuracy: 0.8818, prior_entropy: 0.8733, recall: 0.8818, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6565, scimark_benchmark: 1951.9993, usercpu_time_millis: 50.258, usercpu_time_millis_testing: 2.755, usercpu_time_millis_training: 47.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8438, kappa: 0.6176, kb_relative_information_score: 2362.9295, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8431, predictive_accuracy: 0.8466, prior_entropy: 0.8733, recall: 0.8466, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.331, root_relative_squared_error: 0.7269, scimark_benchmark: 1742.0113, usercpu_time_millis: 52.26, usercpu_time_millis_testing: 1.707, usercpu_time_millis_training: 50.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8752, kappa: 0.6975, kb_relative_information_score: 2803.6785, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8747, predictive_accuracy: 0.8758, prior_entropy: 0.8733, recall: 0.8758, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6636, scimark_benchmark: 2016.0751, usercpu_time_millis: 68.889, usercpu_time_millis_testing: 2.718, usercpu_time_millis_training: 66.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8404, kappa: 0.609, kb_relative_information_score: 2322.9609, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8398, predictive_accuracy: 0.8434, prior_entropy: 0.8733, recall: 0.8434, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7317, scimark_benchmark: 1734.2699, usercpu_time_millis: 77.621, usercpu_time_millis_testing: 2.578, usercpu_time_millis_training: 75.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.902, kappa: 0.7628, kb_relative_information_score: 3286.4984, mean_absolute_error: 0.169, 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: 0.4075, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.5964, scimark_benchmark: 1849.9455, usercpu_time_millis: 46.672, usercpu_time_millis_testing: 2.732, usercpu_time_millis_training: 43.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8585, kappa: 0.6558, kb_relative_information_score: 2554.1478, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8578, predictive_accuracy: 0.8599, prior_entropy: 0.8733, recall: 0.8599, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6991, scimark_benchmark: 1720.0954, usercpu_time_millis: 54.768, usercpu_time_millis_testing: 2.263, usercpu_time_millis_training: 52.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8769, kappa: 0.7016, kb_relative_information_score: 2771.2131, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8765, predictive_accuracy: 0.8777, prior_entropy: 0.8733, recall: 0.8777, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6643, scimark_benchmark: 1738.2694, usercpu_time_millis: 32.607, usercpu_time_millis_testing: 2.785, usercpu_time_millis_training: 29.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.7885, kappa: 0.4828, kb_relative_information_score: 1731.1036, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7867, predictive_accuracy: 0.792, prior_entropy: 0.8733, recall: 0.792, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7999, scimark_benchmark: 1859.1356, usercpu_time_millis: 46.864, usercpu_time_millis_testing: 1.829, usercpu_time_millis_training: 45.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8504, kappa: 0.6349, kb_relative_information_score: 2413.3849, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8497, predictive_accuracy: 0.8525, prior_entropy: 0.8733, recall: 0.8525, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.7178, scimark_benchmark: 1728.8749, usercpu_time_millis: 36.913, usercpu_time_millis_testing: 1.853, usercpu_time_millis_training: 35.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8535, kappa: 0.6436, kb_relative_information_score: 2433.5954, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8528, predictive_accuracy: 0.8549, prior_entropy: 0.8733, recall: 0.8549, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.7119, scimark_benchmark: 1737.9926, usercpu_time_millis: 47.383, usercpu_time_millis_testing: 1.682, usercpu_time_millis_training: 45.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8693, kappa: 0.6823, kb_relative_information_score: 2561.6167, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8687, predictive_accuracy: 0.8705, prior_entropy: 0.8733, recall: 0.8705, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6898, scimark_benchmark: 1723.1138, usercpu_time_millis: 33.824, usercpu_time_millis_testing: 2.033, usercpu_time_millis_training: 31.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8849, kappa: 0.7206, kb_relative_information_score: 2788.317, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8844, predictive_accuracy: 0.8856, prior_entropy: 0.8733, recall: 0.8856, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6523, scimark_benchmark: 2143.8379, usercpu_time_millis: 29.546, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 26.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9017, kappa: 0.7624, kb_relative_information_score: 3345.0645, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9015, predictive_accuracy: 0.9019, prior_entropy: 0.8733, recall: 0.9019, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.5955, scimark_benchmark: 1723.635, usercpu_time_millis: 49.013, usercpu_time_millis_testing: 1.743, usercpu_time_millis_training: 47.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8704, kappa: 0.6849, kb_relative_information_score: 2510.8898, mean_absolute_error: 0.2279, 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: 0.5495, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6885, scimark_benchmark: 1730.6397, usercpu_time_millis: 42.528, usercpu_time_millis_testing: 3.467, usercpu_time_millis_training: 39.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8541, kappa: 0.6447, kb_relative_information_score: 2290.041, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8533, predictive_accuracy: 0.8557, prior_entropy: 0.8733, recall: 0.8557, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.7267, scimark_benchmark: 1687.7907, usercpu_time_millis: 62.698, usercpu_time_millis_testing: 3.332, usercpu_time_millis_training: 59.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9013, kappa: 0.7614, kb_relative_information_score: 3500.6029, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9011, predictive_accuracy: 0.9016, prior_entropy: 0.8733, recall: 0.9016, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.271, root_relative_squared_error: 0.5952, scimark_benchmark: 1855.0232, usercpu_time_millis: 55.299, usercpu_time_millis_testing: 1.798, usercpu_time_millis_training: 53.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.888, kappa: 0.729, kb_relative_information_score: 3001.4795, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8877, predictive_accuracy: 0.8884, prior_entropy: 0.8733, recall: 0.8884, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.6342, scimark_benchmark: 1738.6698, usercpu_time_millis: 45.814, usercpu_time_millis_testing: 3.166, usercpu_time_millis_training: 42.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8874, kappa: 0.728, kb_relative_information_score: 3100.894, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8872, predictive_accuracy: 0.8877, prior_entropy: 0.8733, recall: 0.8877, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6268, scimark_benchmark: 1857.5075, usercpu_time_millis: 53.675, usercpu_time_millis_testing: 1.875, usercpu_time_millis_training: 51.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8487, kappa: 0.6305, kb_relative_information_score: 2197.1763, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8479, predictive_accuracy: 0.8509, prior_entropy: 0.8733, recall: 0.8509, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7328, scimark_benchmark: 1728.3189, usercpu_time_millis: 28.641, usercpu_time_millis_testing: 2.041, usercpu_time_millis_training: 26.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8464, kappa: 0.6247, kb_relative_information_score: 2411.52, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8457, predictive_accuracy: 0.8488, prior_entropy: 0.8733, recall: 0.8488, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.7222, scimark_benchmark: 1859.1356, usercpu_time_millis: 38.549, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 37.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8767, kappa: 0.7007, kb_relative_information_score: 2627.5923, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8762, predictive_accuracy: 0.8777, prior_entropy: 0.8733, recall: 0.8777, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6737, scimark_benchmark: 1723.6152, usercpu_time_millis: 28.493, usercpu_time_millis_testing: 2.362, usercpu_time_millis_training: 26.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9038, kappa: 0.7676, kb_relative_information_score: 3354.4139, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9036, predictive_accuracy: 0.904, prior_entropy: 0.8733, recall: 0.904, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.5911, scimark_benchmark: 1859.6666, usercpu_time_millis: 52.511, usercpu_time_millis_testing: 1.986, usercpu_time_millis_training: 50.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8596, kappa: 0.6587, kb_relative_information_score: 2634.3134, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8589, predictive_accuracy: 0.8608, prior_entropy: 0.8733, recall: 0.8608, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6912, scimark_benchmark: 1722.3145, usercpu_time_millis: 41.832, usercpu_time_millis_testing: 1.935, usercpu_time_millis_training: 39.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8969, kappa: 0.7505, kb_relative_information_score: 3031.6195, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8966, predictive_accuracy: 0.8973, prior_entropy: 0.8733, recall: 0.8973, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.282, root_relative_squared_error: 0.6193, scimark_benchmark: 1859.1356, usercpu_time_millis: 40.312, usercpu_time_millis_testing: 3.616, usercpu_time_millis_training: 36.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8808, kappa: 0.711, kb_relative_information_score: 2751.5459, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8804, predictive_accuracy: 0.8816, prior_entropy: 0.8733, recall: 0.8816, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6573, scimark_benchmark: 1772.5, usercpu_time_millis: 21.452, usercpu_time_millis_testing: 2.078, usercpu_time_millis_training: 19.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9011, kappa: 0.7607, kb_relative_information_score: 3139.0661, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9009, predictive_accuracy: 0.9016, prior_entropy: 0.8733, recall: 0.9016, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6059, scimark_benchmark: 1735.1328, usercpu_time_millis: 33.713, usercpu_time_millis_testing: 3.067, usercpu_time_millis_training: 30.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8831, kappa: 0.7173, kb_relative_information_score: 2912.9854, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8828, predictive_accuracy: 0.8834, prior_entropy: 0.8733, recall: 0.8834, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6476, scimark_benchmark: 1857.5664, usercpu_time_millis: 49.086, usercpu_time_millis_testing: 2.784, usercpu_time_millis_training: 46.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8996, kappa: 0.7574, kb_relative_information_score: 3337.8819, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8994, predictive_accuracy: 0.8999, prior_entropy: 0.8733, recall: 0.8999, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.5964, scimark_benchmark: 1900.0392, usercpu_time_millis: 68.885, usercpu_time_millis_testing: 2.775, usercpu_time_millis_training: 66.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8365, kappa: 0.5987, kb_relative_information_score: 2087.6368, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8359, predictive_accuracy: 0.8399, prior_entropy: 0.8733, recall: 0.8399, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7407, scimark_benchmark: 1719.5892, usercpu_time_millis: 36.516, usercpu_time_millis_testing: 3.49, usercpu_time_millis_training: 33.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8678, kappa: 0.6783, kb_relative_information_score: 2573.988, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8672, predictive_accuracy: 0.8692, prior_entropy: 0.8733, recall: 0.8692, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6892, scimark_benchmark: 1743.7328, usercpu_time_millis: 38.157, usercpu_time_millis_testing: 1.743, usercpu_time_millis_training: 36.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8765, kappa: 0.7005, kb_relative_information_score: 2767.1772, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.876, predictive_accuracy: 0.8773, prior_entropy: 0.8733, recall: 0.8773, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6652, scimark_benchmark: 1859.1356, usercpu_time_millis: 34.557, usercpu_time_millis_testing: 2.709, usercpu_time_millis_training: 31.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8998, kappa: 0.7578, kb_relative_information_score: 3255.734, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8996, predictive_accuracy: 0.9001, prior_entropy: 0.8733, recall: 0.9001, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.6009, scimark_benchmark: 1746.1722, usercpu_time_millis: 39.56, usercpu_time_millis_testing: 1.951, usercpu_time_millis_training: 37.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8913, kappa: 0.7372, kb_relative_information_score: 3122.9661, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.891, predictive_accuracy: 0.8916, prior_entropy: 0.8733, recall: 0.8916, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.281, root_relative_squared_error: 0.6172, scimark_benchmark: 1853.4045, usercpu_time_millis: 54.285, usercpu_time_millis_testing: 3.361, usercpu_time_millis_training: 50.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7892, kappa: 0.488, kb_relative_information_score: 1586.7443, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.788, predictive_accuracy: 0.7909, prior_entropy: 0.8733, recall: 0.7909, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.8141, scimark_benchmark: 1742.9281, usercpu_time_millis: 21.584, usercpu_time_millis_testing: 1.501, usercpu_time_millis_training: 20.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.7633, kappa: 0.4464, kb_relative_information_score: 1131.9298, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7734, predictive_accuracy: 0.7578, prior_entropy: 0.8733, recall: 0.7578, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8874, scimark_benchmark: 1712.1417, usercpu_time_millis: 16.234, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 14.598,
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: 0.9413, f_measure: 0.8761, kappa: 0.6992, kb_relative_information_score: 2649.8019, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8756, predictive_accuracy: 0.8769, prior_entropy: 0.8733, recall: 0.8769, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6709, scimark_benchmark: 1770.593, usercpu_time_millis: 15.928, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 14.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8933, kappa: 0.7422, kb_relative_information_score: 3116.43, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8931, predictive_accuracy: 0.8936, prior_entropy: 0.8733, recall: 0.8936, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.6186, scimark_benchmark: 1854.3179, usercpu_time_millis: 26.675, usercpu_time_millis_testing: 1.569, usercpu_time_millis_training: 25.106,
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: 0.9254, f_measure: 0.8627, kappa: 0.6656, kb_relative_information_score: 2396.2407, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.862, predictive_accuracy: 0.8642, prior_entropy: 0.8733, recall: 0.8642, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.323, root_relative_squared_error: 0.7093, scimark_benchmark: 1858.2223, usercpu_time_millis: 27.987, usercpu_time_millis_testing: 1.471, usercpu_time_millis_training: 26.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8403, kappa: 0.6101, kb_relative_information_score: 2146.4168, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8394, predictive_accuracy: 0.8425, prior_entropy: 0.8733, recall: 0.8425, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.7449, scimark_benchmark: 1734.376, usercpu_time_millis: 29.832, usercpu_time_millis_testing: 1.974, usercpu_time_millis_training: 27.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8113, kappa: 0.5397, kb_relative_information_score: 1834.7354, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8099, predictive_accuracy: 0.8137, prior_entropy: 0.8733, recall: 0.8137, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7774, scimark_benchmark: 1739.9987, usercpu_time_millis: 15.608, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 14.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8753, kappa: 0.6977, kb_relative_information_score: 2780.0998, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8748, predictive_accuracy: 0.876, prior_entropy: 0.8733, recall: 0.876, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6649, scimark_benchmark: 1748.5864, usercpu_time_millis: 51.777, usercpu_time_millis_testing: 3.719, usercpu_time_millis_training: 48.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.772, kappa: 0.4517, kb_relative_information_score: 1536.2795, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7726, predictive_accuracy: 0.7715, prior_entropy: 0.8733, recall: 0.7715, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.8314, scimark_benchmark: 1741.5652, usercpu_time_millis: 34.43, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 33.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7789, kappa: 0.464, kb_relative_information_score: 1287.4155, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7778, predictive_accuracy: 0.7802, prior_entropy: 0.8733, recall: 0.7802, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.8465, scimark_benchmark: 1742.3585, usercpu_time_millis: 12.456, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 11.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8883, kappa: 0.7294, kb_relative_information_score: 2934.937, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8879, predictive_accuracy: 0.8888, prior_entropy: 0.8733, recall: 0.8888, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.6417, scimark_benchmark: 1832.4342, usercpu_time_millis: 51.612, usercpu_time_millis_testing: 3.492, usercpu_time_millis_training: 48.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8457, kappa: 0.6227, kb_relative_information_score: 2241.1879, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8449, predictive_accuracy: 0.8481, prior_entropy: 0.8733, recall: 0.8481, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.7364, scimark_benchmark: 1734.6706, usercpu_time_millis: 54.642, usercpu_time_millis_testing: 2.086, usercpu_time_millis_training: 52.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8624, kappa: 0.6654, kb_relative_information_score: 2535.562, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8617, predictive_accuracy: 0.8636, prior_entropy: 0.8733, recall: 0.8636, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6977, scimark_benchmark: 1727.103, usercpu_time_millis: 29.733, usercpu_time_millis_testing: 1.719, usercpu_time_millis_training: 28.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.842, kappa: 0.6127, kb_relative_information_score: 2128.8184, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8414, predictive_accuracy: 0.8451, prior_entropy: 0.8733, recall: 0.8451, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.335, root_relative_squared_error: 0.7356, scimark_benchmark: 1949.9243, usercpu_time_millis: 23.832, usercpu_time_millis_testing: 1.634, usercpu_time_millis_training: 22.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.867, kappa: 0.6769, kb_relative_information_score: 2612.6269, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8664, predictive_accuracy: 0.8681, prior_entropy: 0.8733, recall: 0.8681, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.686, scimark_benchmark: 1738.3914, usercpu_time_millis: 25.365, usercpu_time_millis_testing: 2.021, usercpu_time_millis_training: 23.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.7967, kappa: 0.5025, kb_relative_information_score: 1780.0792, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.795, predictive_accuracy: 0.8003, prior_entropy: 0.8733, recall: 0.8003, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7923, scimark_benchmark: 1736.6058, usercpu_time_millis: 11.824, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 11.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8696, kappa: 0.6839, kb_relative_information_score: 2790.0725, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8691, predictive_accuracy: 0.8703, prior_entropy: 0.8733, recall: 0.8703, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6706, scimark_benchmark: 1741.2133, usercpu_time_millis: 50.572, usercpu_time_millis_testing: 2.452, usercpu_time_millis_training: 48.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8342, kappa: 0.5949, kb_relative_information_score: 2082.1935, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8333, predictive_accuracy: 0.8368, prior_entropy: 0.8733, recall: 0.8368, relative_absolute_error: 0.6124, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7528, scimark_benchmark: 1654.5936, usercpu_time_millis: 38.077, usercpu_time_millis_testing: 2.466, usercpu_time_millis_training: 35.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8905, kappa: 0.7353, kb_relative_information_score: 3128.2721, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8903, predictive_accuracy: 0.8908, prior_entropy: 0.8733, recall: 0.8908, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.6224, scimark_benchmark: 1858.6076, usercpu_time_millis: 22.619, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 21.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.897, kappa: 0.7507, kb_relative_information_score: 3281.7211, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8967, predictive_accuracy: 0.8973, prior_entropy: 0.8733, recall: 0.8973, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.6042, scimark_benchmark: 1858.6076, usercpu_time_millis: 22.553, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 21.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8062, kappa: 0.5241, kb_relative_information_score: 1711.3767, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8049, predictive_accuracy: 0.8105, prior_entropy: 0.8733, recall: 0.8105, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7869, scimark_benchmark: 1854.568, usercpu_time_millis: 24.023, usercpu_time_millis_testing: 1.89, usercpu_time_millis_training: 22.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9002, kappa: 0.7586, kb_relative_information_score: 3254.631, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9, predictive_accuracy: 0.9006, prior_entropy: 0.8733, recall: 0.9006, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5988, scimark_benchmark: 1747.7403, usercpu_time_millis: 38.22, usercpu_time_millis_testing: 2.724, usercpu_time_millis_training: 35.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8085, kappa: 0.5311, kb_relative_information_score: 1903.0314, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8071, predictive_accuracy: 0.812, prior_entropy: 0.8733, recall: 0.812, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7801, scimark_benchmark: 1855.4813, usercpu_time_millis: 38.723, usercpu_time_millis_testing: 1.575, usercpu_time_millis_training: 37.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8708, kappa: 0.6856, kb_relative_information_score: 2534.8198, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8703, predictive_accuracy: 0.8721, prior_entropy: 0.8733, recall: 0.8721, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6866, scimark_benchmark: 1734.6706, usercpu_time_millis: 7.348, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 6.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8597, kappa: 0.6585, kb_relative_information_score: 2380.3498, mean_absolute_error: 0.2375, 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: 0.5727, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.7062, scimark_benchmark: 1735.5975, usercpu_time_millis: 20.742, usercpu_time_millis_testing: 2.145, usercpu_time_millis_training: 18.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8853, kappa: 0.7222, kb_relative_information_score: 2896.5185, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8849, predictive_accuracy: 0.8858, prior_entropy: 0.8733, recall: 0.8858, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.6453, scimark_benchmark: 1855.0232, usercpu_time_millis: 35.561, usercpu_time_millis_testing: 2.57, usercpu_time_millis_training: 32.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8735, kappa: 0.693, kb_relative_information_score: 2707.3702, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.873, predictive_accuracy: 0.8744, prior_entropy: 0.8733, recall: 0.8744, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.673, scimark_benchmark: 1858.7532, usercpu_time_millis: 19.792, usercpu_time_millis_testing: 1.518, usercpu_time_millis_training: 18.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7784, kappa: 0.4636, kb_relative_information_score: 1312.2849, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7776, predictive_accuracy: 0.7792, prior_entropy: 0.8733, recall: 0.7792, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.8451, scimark_benchmark: 1730.1977, usercpu_time_millis: 11.676, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 10.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.585, kb_relative_information_score: 0.2208, 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: 1736.5144, usercpu_time_millis: 4.602, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 3.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9029, kappa: 0.7653, kb_relative_information_score: 3316.2185, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9027, predictive_accuracy: 0.9032, prior_entropy: 0.8733, recall: 0.9032, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.5904, scimark_benchmark: 1854.9533, usercpu_time_millis: 17.001, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 16.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8417, kappa: 0.6132, kb_relative_information_score: 2180.1366, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8409, predictive_accuracy: 0.8442, prior_entropy: 0.8733, recall: 0.8442, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.7412, scimark_benchmark: 1858.1494, usercpu_time_millis: 33.616, usercpu_time_millis_testing: 1.315, usercpu_time_millis_training: 32.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8809, kappa: 0.7111, kb_relative_information_score: 2699.6313, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8804, predictive_accuracy: 0.8816, prior_entropy: 0.8733, recall: 0.8816, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.664, scimark_benchmark: 1740.1736, usercpu_time_millis: 26.226, usercpu_time_millis_testing: 2.88, usercpu_time_millis_training: 23.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8392, kappa: 0.6077, kb_relative_information_score: 2117.6791, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8382, predictive_accuracy: 0.8412, prior_entropy: 0.8733, recall: 0.8412, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7499, scimark_benchmark: 1953.5852, usercpu_time_millis: 23.468, usercpu_time_millis_testing: 1.499, usercpu_time_millis_training: 21.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8569, kappa: 0.6518, kb_relative_information_score: 2433.2369, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8562, predictive_accuracy: 0.8584, prior_entropy: 0.8733, recall: 0.8584, relative_absolute_error: 0.557, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.324, root_relative_squared_error: 0.7116, scimark_benchmark: 1734.6706, usercpu_time_millis: 3.708, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 3.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8613, kappa: 0.6629, kb_relative_information_score: 2618.3478, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8607, predictive_accuracy: 0.8625, prior_entropy: 0.8733, recall: 0.8625, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6927, scimark_benchmark: 1770.965, usercpu_time_millis: 53.995, usercpu_time_millis_testing: 1.84, usercpu_time_millis_training: 52.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8881, kappa: 0.7295, kb_relative_information_score: 2983.5788, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8879, predictive_accuracy: 0.8884, prior_entropy: 0.8733, recall: 0.8884, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6356, scimark_benchmark: 1744.1566, usercpu_time_millis: 3.033, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 2.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8713, kappa: 0.6879, kb_relative_information_score: 2614.2227, mean_absolute_error: 0.2192, 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: 0.5286, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.311, root_relative_squared_error: 0.683, scimark_benchmark: 1703.0357, usercpu_time_millis: 31.515, usercpu_time_millis_testing: 2.687, usercpu_time_millis_training: 28.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7756, kappa: 0.4487, kb_relative_information_score: 1612.1828, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7735, predictive_accuracy: 0.7809, prior_entropy: 0.8733, recall: 0.7809, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.8229, scimark_benchmark: 1725.9723, usercpu_time_millis: 38.44, usercpu_time_millis_testing: 1.519, usercpu_time_millis_training: 36.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8589, kappa: 0.6568, kb_relative_information_score: 2581.3106, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8582, predictive_accuracy: 0.8603, prior_entropy: 0.8733, recall: 0.8603, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6957, scimark_benchmark: 1899.845, usercpu_time_millis: 52.24, usercpu_time_millis_testing: 1.74, usercpu_time_millis_training: 50.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8512, kappa: 0.637, kb_relative_information_score: 2207.3125, mean_absolute_error: 0.2472, 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: 0.596, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.333, root_relative_squared_error: 0.7314, scimark_benchmark: 1690.329, usercpu_time_millis: 35.218, usercpu_time_millis_testing: 2.722, usercpu_time_millis_training: 32.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.6835, kappa: 0.2096, kb_relative_information_score: 875.6229, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7675, predictive_accuracy: 0.7476, prior_entropy: 0.8733, recall: 0.7476, relative_absolute_error: 0.8484, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8808, scimark_benchmark: 1731.1295, usercpu_time_millis: 4.041, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 3.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8273, kappa: 0.5761, kb_relative_information_score: 1943.1132, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8265, predictive_accuracy: 0.8311, prior_entropy: 0.8733, recall: 0.8311, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7586, scimark_benchmark: 1718.3123, usercpu_time_millis: 19.821, usercpu_time_millis_testing: 2.206, usercpu_time_millis_training: 17.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9033, kappa: 0.7664, kb_relative_information_score: 3303.2429, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9032, predictive_accuracy: 0.9036, prior_entropy: 0.8733, recall: 0.9036, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.5955, scimark_benchmark: 2140.8135, usercpu_time_millis: 6.439, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 6.014,

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