Task
Supervised Classification on glass

Supervised Classification on glass

Task 3868 Supervised Classification glass 570 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5056, kb_relative_information_score: -0.1903, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.6481, kappa: 0.222, kb_relative_information_score: 25.7325, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6448, predictive_accuracy: 0.6542, prior_entropy: 0.9397, recall: 0.6542, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8081, kappa: 0.5743, kb_relative_information_score: 91.4469, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.811, predictive_accuracy: 0.8131, prior_entropy: 0.9397, recall: 0.8131, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.5888, kappa: 0.1022, kb_relative_information_score: 2.0529, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5888, predictive_accuracy: 0.5888, prior_entropy: 0.9397, recall: 0.5888, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.7474, kappa: 0.4411, kb_relative_information_score: 75.5422, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7468, predictive_accuracy: 0.7523, prior_entropy: 0.9397, recall: 0.7523, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7674, kappa: 0.4864, kb_relative_information_score: 89.022, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7668, predictive_accuracy: 0.771, prior_entropy: 0.9397, recall: 0.771, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8207, kappa: 0.6053, kb_relative_information_score: 128.9525, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8203, predictive_accuracy: 0.8224, prior_entropy: 0.9397, recall: 0.8224, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6648, kappa: 0.2909, kb_relative_information_score: 27.2543, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6789, predictive_accuracy: 0.6589, prior_entropy: 0.9397, recall: 0.6589, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7485, kappa: 0.4445, kb_relative_information_score: 67.3149, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7474, predictive_accuracy: 0.7523, prior_entropy: 0.9397, recall: 0.7523, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8567, kappa: 0.6827, kb_relative_information_score: 138.7087, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8598, predictive_accuracy: 0.8598, prior_entropy: 0.9397, recall: 0.8598, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.345, root_relative_squared_error: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.5618, kappa: 0.0443, kb_relative_information_score: 20.716, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5764, predictive_accuracy: 0.6308, prior_entropy: 0.9397, recall: 0.6308, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7743, kappa: 0.5044, kb_relative_information_score: 93.4849, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7734, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.5793, kappa: 0.0863, kb_relative_information_score: 26.5763, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6137, predictive_accuracy: 0.6495, prior_entropy: 0.9397, recall: 0.6495, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.5292, kappa: 0.0224, kb_relative_information_score: 41.3976, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5961, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5617, root_relative_squared_error: 1.1737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7829, kappa: 0.5222, kb_relative_information_score: 87.4419, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7821, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.6019, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.815, kappa: 0.588, kb_relative_information_score: 73.5286, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8246, predictive_accuracy: 0.8224, prior_entropy: 0.9397, recall: 0.8224, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5056, kb_relative_information_score: -0.1903, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7494, kappa: 0.4432, kb_relative_information_score: 73.5159, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7511, predictive_accuracy: 0.757, prior_entropy: 0.9397, recall: 0.757, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.776, kappa: 0.5044, kb_relative_information_score: 94.5669, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7761, predictive_accuracy: 0.7804, prior_entropy: 0.9397, recall: 0.7804, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.767, kappa: 0.4929, kb_relative_information_score: 77.8886, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7678, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.8029, kappa: 0.5623, kb_relative_information_score: 104.5756, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8063, predictive_accuracy: 0.8084, prior_entropy: 0.9397, recall: 0.8084, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.5973, kappa: 0.2832, kb_relative_information_score: 18.5614, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7442, predictive_accuracy: 0.6028, prior_entropy: 0.9397, recall: 0.6028, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5424, root_relative_squared_error: 1.1334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.5723, kappa: 0.0823, kb_relative_information_score: 19.5654, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6264, predictive_accuracy: 0.6542, prior_entropy: 0.9397, recall: 0.6542, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8458, kappa: 0.6573, kb_relative_information_score: 100.6983, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8522, predictive_accuracy: 0.8505, prior_entropy: 0.9397, recall: 0.8505, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.5945, kappa: 0.2695, kb_relative_information_score: 14.403, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7272, predictive_accuracy: 0.5981, prior_entropy: 0.9397, recall: 0.5981, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.1268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7994, kappa: 0.5558, kb_relative_information_score: 103.0309, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8007, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.5932, kappa: 0.273, kb_relative_information_score: 18.3845, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7344, predictive_accuracy: 0.5981, prior_entropy: 0.9397, recall: 0.5981, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7649, kappa: 0.4838, kb_relative_information_score: 88.9472, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7639, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.5932, kappa: 0.273, kb_relative_information_score: 18.3845, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7344, predictive_accuracy: 0.5981, prior_entropy: 0.9397, recall: 0.5981, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7644, kappa: 0.4769, kb_relative_information_score: 61.3003, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7662, predictive_accuracy: 0.771, prior_entropy: 0.9397, recall: 0.771, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.7981, kappa: 0.5574, kb_relative_information_score: 96.7252, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7975, predictive_accuracy: 0.7991, prior_entropy: 0.9397, recall: 0.7991, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.7906, kappa: 0.5449, kb_relative_information_score: 112.0267, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7918, predictive_accuracy: 0.7897, prior_entropy: 0.9397, recall: 0.7897, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.6645, kappa: 0.2698, kb_relative_information_score: 23.8341, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6656, predictive_accuracy: 0.6636, prior_entropy: 0.9397, recall: 0.6636, relative_absolute_error: 0.877, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9974, scimark_benchmark: 1922.3298, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.767, kappa: 0.4929, kb_relative_information_score: 100.7253, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7678, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4834, root_relative_squared_error: 1.0101, scimark_benchmark: 1280.301, usercpu_time_millis: 2343.75, usercpu_time_millis_training: 2343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5092, kappa: -0.0109, kb_relative_information_score: 37.4372, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5033, predictive_accuracy: 0.6355, prior_entropy: 0.9397, recall: 0.6355, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.6037, root_relative_squared_error: 1.2616, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6291, kappa: 0.18, kb_relative_information_score: 19.6323, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6253, predictive_accuracy: 0.6355, prior_entropy: 0.9397, recall: 0.6355, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9642, scimark_benchmark: 1862.8608, usercpu_time_millis: 593.75, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6291, kappa: 0.18, kb_relative_information_score: 19.6323, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6253, predictive_accuracy: 0.6355, prior_entropy: 0.9397, recall: 0.6355, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9642, scimark_benchmark: 1787.9841, usercpu_time_millis: 656.25, usercpu_time_millis_training: 656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6291, kappa: 0.18, kb_relative_information_score: 19.6323, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6253, predictive_accuracy: 0.6355, prior_entropy: 0.9397, recall: 0.6355, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9642, scimark_benchmark: 1611.9715, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, scimark_benchmark: 1581.7593, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7748, kappa: 0.4981, kb_relative_information_score: 109.7664, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.784, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9688, scimark_benchmark: 1374.2816, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.767, kappa: 0.4929, kb_relative_information_score: 100.7253, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7678, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4834, root_relative_squared_error: 1.0101, scimark_benchmark: 1381.9884, usercpu_time_millis: 1630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5092, kappa: -0.0109, kb_relative_information_score: 37.4372, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5033, predictive_accuracy: 0.6355, prior_entropy: 0.9397, recall: 0.6355, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.6037, root_relative_squared_error: 1.2616, scimark_benchmark: 1655.5092, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.6278, kappa: 0.1819, kb_relative_information_score: 20.5129, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6255, predictive_accuracy: 0.6308, prior_entropy: 0.9397, recall: 0.6308, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9991, scimark_benchmark: 1665.974, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.723, kappa: 0.3927, kb_relative_information_score: 71.5887, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.722, predictive_accuracy: 0.7243, prior_entropy: 0.9397, recall: 0.7243, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8919, scimark_benchmark: 1378.1099, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.5932, kappa: 0.273, kb_relative_information_score: 18.3845, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7344, predictive_accuracy: 0.5981, prior_entropy: 0.9397, recall: 0.5981, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.1306, scimark_benchmark: 1254.7069, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, scimark_benchmark: 1432.1515, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.6416, kappa: 0.2026, kb_relative_information_score: 15.7013, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6384, predictive_accuracy: 0.6542, prior_entropy: 0.9397, recall: 0.6542, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9697, scimark_benchmark: 1327.3143, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.6592, kappa: 0.2399, kb_relative_information_score: 30.838, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6609, predictive_accuracy: 0.6776, prior_entropy: 0.9397, recall: 0.6776, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9431, scimark_benchmark: 1299.2985, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7981, kappa: 0.5574, kb_relative_information_score: 115.539, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7975, predictive_accuracy: 0.7991, prior_entropy: 0.9397, recall: 0.7991, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9319, scimark_benchmark: 1304.5665, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7708, kappa: 0.4923, kb_relative_information_score: 92.785, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7711, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8529, scimark_benchmark: 1136.3924, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7708, kappa: 0.4923, kb_relative_information_score: 80.5458, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7711, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8841, scimark_benchmark: 999.8135, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5227, kappa: -0.0155, kb_relative_information_score: 30.6563, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5231, predictive_accuracy: 0.6215, prior_entropy: 0.9397, recall: 0.6215, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.6152, root_relative_squared_error: 1.2856, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7409, kappa: 0.4305, kb_relative_information_score: 67.9263, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7397, predictive_accuracy: 0.743, prior_entropy: 0.9397, recall: 0.743, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9206, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8273, kappa: 0.6169, kb_relative_information_score: 99.404, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8309, predictive_accuracy: 0.8318, prior_entropy: 0.9397, recall: 0.8318, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.72, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5056, kb_relative_information_score: -0.1903, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0002, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7855, kappa: 0.5255, kb_relative_information_score: 96.25, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7859, predictive_accuracy: 0.7897, prior_entropy: 0.9397, recall: 0.7897, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9052, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.5932, kappa: 0.273, kb_relative_information_score: 18.3845, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7344, predictive_accuracy: 0.5981, prior_entropy: 0.9397, recall: 0.5981, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.1306, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5227, kappa: -0.0155, kb_relative_information_score: 30.6563, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5231, predictive_accuracy: 0.6215, prior_entropy: 0.9397, recall: 0.6215, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.6152, root_relative_squared_error: 1.2856, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.6416, kappa: 0.2026, kb_relative_information_score: 15.7072, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6384, predictive_accuracy: 0.6542, prior_entropy: 0.9397, recall: 0.6542, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9697, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.6592, kappa: 0.2399, kb_relative_information_score: 30.838, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6609, predictive_accuracy: 0.6776, prior_entropy: 0.9397, recall: 0.6776, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9431, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7981, kappa: 0.5574, kb_relative_information_score: 115.539, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7975, predictive_accuracy: 0.7991, prior_entropy: 0.9397, recall: 0.7991, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9319, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7708, kappa: 0.4923, kb_relative_information_score: 92.785, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7711, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8529, scimark_benchmark: 1892.0925, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.7434, kappa: 0.4405, kb_relative_information_score: 71.6008, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7438, predictive_accuracy: 0.743, prior_entropy: 0.9397, recall: 0.743, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9289, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7409, kappa: 0.4305, kb_relative_information_score: 67.9263, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7397, predictive_accuracy: 0.743, prior_entropy: 0.9397, recall: 0.743, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9206, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8229, kappa: 0.6074, kb_relative_information_score: 99.0553, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8256, predictive_accuracy: 0.8271, prior_entropy: 0.9397, recall: 0.8271, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.347, root_relative_squared_error: 0.725, scimark_benchmark: 1892.0925, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5056, kb_relative_information_score: -0.1903, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0002, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.7846, kappa: 0.5226, kb_relative_information_score: 96.25, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.786, predictive_accuracy: 0.7897, prior_entropy: 0.9397, recall: 0.7897, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9052, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.6592, kappa: 0.2399, kb_relative_information_score: 30.838, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6609, predictive_accuracy: 0.6776, prior_entropy: 0.9397, recall: 0.6776, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9431, scimark_benchmark: 1370.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.7474, kappa: 0.4411, kb_relative_information_score: 75.5422, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7468, predictive_accuracy: 0.7523, prior_entropy: 0.9397, recall: 0.7523, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9278, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.6416, kappa: 0.2026, kb_relative_information_score: 15.7006, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6384, predictive_accuracy: 0.6542, prior_entropy: 0.9397, recall: 0.6542, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9697, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7708, kappa: 0.4923, kb_relative_information_score: 92.785, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7711, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8529, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7708, kappa: 0.4923, kb_relative_information_score: 92.785, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7711, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8529, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7505, kappa: 0.4466, kb_relative_information_score: 68.606, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7512, predictive_accuracy: 0.757, prior_entropy: 0.9397, recall: 0.757, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8959, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.6985, kappa: 0.3316, kb_relative_information_score: 45.3374, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6968, predictive_accuracy: 0.7056, prior_entropy: 0.9397, recall: 0.7056, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9553, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5401, kappa: 0.0276, kb_relative_information_score: 9.3671, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5807, predictive_accuracy: 0.6402, prior_entropy: 0.9397, recall: 0.6402, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9825, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.5227, kappa: -0.0155, kb_relative_information_score: 7.0048, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5231, predictive_accuracy: 0.6215, prior_entropy: 0.9397, recall: 0.6215, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9924, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, scimark_benchmark: 1561.3472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.6592, kappa: 0.2399, kb_relative_information_score: 30.838, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6609, predictive_accuracy: 0.6776, prior_entropy: 0.9397, recall: 0.6776, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9431, scimark_benchmark: 1544.8923, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7284, kappa: 0.3989, kb_relative_information_score: 65.1289, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7272, predictive_accuracy: 0.7336, prior_entropy: 0.9397, recall: 0.7336, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8849, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.7108, kappa: 0.388, kb_relative_information_score: 79.218, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7247, predictive_accuracy: 0.7056, prior_entropy: 0.9397, recall: 0.7056, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9587, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7713, kappa: 0.5263, kb_relative_information_score: 102.3932, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7986, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8615, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7649, kappa: 0.4838, kb_relative_information_score: 83.2451, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7639, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.8053, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7674, kappa: 0.4864, kb_relative_information_score: 79.7071, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7668, predictive_accuracy: 0.771, prior_entropy: 0.9397, recall: 0.771, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8786, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.776, kappa: 0.5044, kb_relative_information_score: 94.5669, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7761, predictive_accuracy: 0.7804, prior_entropy: 0.9397, recall: 0.7804, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7915, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, f_measure: 0.5892, kappa: 0.0964, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6075, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.7108, kappa: 0.3575, kb_relative_information_score: 78.1224, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7107, predictive_accuracy: 0.7196, prior_entropy: 0.9397, recall: 0.7196, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5295, root_relative_squared_error: 1.1065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.5163, kappa: 0.0169, kb_relative_information_score: 44.218, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7729, predictive_accuracy: 0.6495, prior_entropy: 0.9397, recall: 0.6495, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.592, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5227, kappa: -0.0155, kb_relative_information_score: 30.6563, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5231, predictive_accuracy: 0.6215, prior_entropy: 0.9397, recall: 0.6215, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.6152, root_relative_squared_error: 1.2856, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7168, kappa: 0.3768, kb_relative_information_score: 53.7017, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7152, predictive_accuracy: 0.7196, prior_entropy: 0.9397, recall: 0.7196, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9394, scimark_benchmark: 1870.7932,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs