Task
Supervised Classification on lowbwt

Supervised Classification on lowbwt

Task 3804 Supervised Classification lowbwt 555 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8268, kappa: 0.6564, kb_relative_information_score: 105.2249, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8519, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 99.7852, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.8428, kappa: 0.6885, kb_relative_information_score: 99.5119, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8713, predictive_accuracy: 0.8466, prior_entropy: 0.9984, recall: 0.8466, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 118.7688, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7884, kappa: 0.5758, kb_relative_information_score: 104.2594, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.7884, predictive_accuracy: 0.7884, prior_entropy: 0.9984, recall: 0.7884, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.8018, kappa: 0.6042, kb_relative_information_score: 99.3708, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8128, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 101.8004, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8326, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8036, kappa: 0.6062, kb_relative_information_score: 98.4108, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8052, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.816, kappa: 0.635, kb_relative_information_score: 107.5735, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8404, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8181, kappa: 0.6365, kb_relative_information_score: 99.7197, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8282, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.8262, kappa: 0.6561, kb_relative_information_score: 102.6735, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8562, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7655, kappa: 0.5305, kb_relative_information_score: 95.1048, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.7702, predictive_accuracy: 0.7672, prior_entropy: 0.9984, recall: 0.7672, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.799, kappa: 0.5974, kb_relative_information_score: 112.6069, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.7993, predictive_accuracy: 0.7989, prior_entropy: 0.9984, recall: 0.7989, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8129, kappa: 0.626, kb_relative_information_score: 102.7947, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8216, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8438, kappa: 0.6891, kb_relative_information_score: 94.3895, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8633, predictive_accuracy: 0.8466, prior_entropy: 0.9984, recall: 0.8466, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.764, kappa: 0.5291, kb_relative_information_score: 78.2909, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.7752, predictive_accuracy: 0.7672, prior_entropy: 0.9984, recall: 0.7672, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.8442, kappa: 0.6894, kb_relative_information_score: 102.7423, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8599, predictive_accuracy: 0.8466, prior_entropy: 0.9984, recall: 0.8466, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7791, kappa: 0.5605, kb_relative_information_score: 89.6546, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.7957, predictive_accuracy: 0.7831, prior_entropy: 0.9984, recall: 0.7831, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 97.6707, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 126.5339, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.8222, kappa: 0.6462, kb_relative_information_score: 106.5156, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8407, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 75.7818, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3601, kb_relative_information_score: -0.0083, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 99.7723, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8181, kappa: 0.6365, kb_relative_information_score: 106.8676, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8282, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8007, kappa: 0.6034, kb_relative_information_score: 92.6906, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8182, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8283, kappa: 0.6575, kb_relative_information_score: 104.5374, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8418, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8283, kappa: 0.6575, kb_relative_information_score: 104.5374, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8418, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 101.7366, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8326, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8129, kappa: 0.626, kb_relative_information_score: 105.3116, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8216, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 132.8138, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.8181, kappa: 0.6365, kb_relative_information_score: 99.8769, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8282, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 132.8138, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.856, kappa: 0.7117, kb_relative_information_score: 102.7818, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8632, predictive_accuracy: 0.8571, prior_entropy: 0.9984, recall: 0.8571, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.835, kappa: 0.6694, kb_relative_information_score: 107.5898, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8397, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 101.7972, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8326, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 126.7945, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 101.7972, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8326, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.604, kappa: 0.2088, kb_relative_information_score: 11.8773, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.6084, predictive_accuracy: 0.6085, prior_entropy: 0.9984, recall: 0.6085, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7984, kappa: 0.5957, kb_relative_information_score: 99.2959, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.7995, predictive_accuracy: 0.7989, prior_entropy: 0.9984, recall: 0.7989, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7726, kappa: 0.5455, kb_relative_information_score: 102.7175, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.7748, predictive_accuracy: 0.7725, prior_entropy: 0.9984, recall: 0.7725, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.5981, kappa: 0.1964, kb_relative_information_score: 36.5055, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.5995, predictive_accuracy: 0.5979, prior_entropy: 0.9984, recall: 0.5979, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6341, root_relative_squared_error: 1.2697, scimark_benchmark: 1280.301, usercpu_time_millis: 8968.75, usercpu_time_millis_training: 8968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 132.8138, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7707, scimark_benchmark: 1280.301, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.6235, kappa: 0.25, kb_relative_information_score: 48.5441, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.6319, predictive_accuracy: 0.6296, prior_entropy: 0.9984, recall: 0.6296, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6086, root_relative_squared_error: 1.2185, 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: 0.5, f_measure: 0.3601, kb_relative_information_score: 8.4156, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.3817, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8382, kappa: 0.6782, kb_relative_information_score: 111.4787, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8594, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7184, scimark_benchmark: 1787.9841, usercpu_time_millis: 734.375, usercpu_time_millis_training: 734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8382, kappa: 0.6782, kb_relative_information_score: 111.4787, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8594, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7184, scimark_benchmark: 1365.859, usercpu_time_millis: 940, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3601, kb_relative_information_score: 8.4156, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.3817, scimark_benchmark: 1609.2643, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.6235, kappa: 0.25, kb_relative_information_score: 48.5441, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.6319, predictive_accuracy: 0.6296, prior_entropy: 0.9984, recall: 0.6296, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6086, root_relative_squared_error: 1.2185, scimark_benchmark: 1382.3348, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.5981, kappa: 0.1964, kb_relative_information_score: 36.5055, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.5995, predictive_accuracy: 0.5979, prior_entropy: 0.9984, recall: 0.5979, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6341, root_relative_squared_error: 1.2697, scimark_benchmark: 1371.5078, usercpu_time_millis: 5340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.8188, kappa: 0.6372, kb_relative_information_score: 114.806, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8243, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8538, scimark_benchmark: 1671.2677, usercpu_time_millis: 859.375, usercpu_time_millis_training: 859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 132.8138, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7707, scimark_benchmark: 1548.5227, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7936, kappa: 0.5862, kb_relative_information_score: 107.5595, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.7936, predictive_accuracy: 0.7937, prior_entropy: 0.9984, recall: 0.7937, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8095, scimark_benchmark: 1382.6957, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.8033, kappa: 0.6058, kb_relative_information_score: 109.4404, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8061, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8412, scimark_benchmark: 1060.9535, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 101.7972, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8326, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7195, scimark_benchmark: 1388.6991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.855, kappa: 0.7109, kb_relative_information_score: 114.7097, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8711, predictive_accuracy: 0.8571, prior_entropy: 0.9984, recall: 0.8571, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6867, scimark_benchmark: 1221.926, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.8283, kappa: 0.6575, kb_relative_information_score: 104.9496, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8418, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7332, scimark_benchmark: 1375.4933, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.7563, kappa: 0.5111, kb_relative_information_score: 95.8769, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.7566, predictive_accuracy: 0.7566, prior_entropy: 0.9984, recall: 0.7566, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9824, scimark_benchmark: 1276.1697, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8391, kappa: 0.6789, kb_relative_information_score: 114.3898, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8529, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6884, scimark_benchmark: 1094.0206, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.8371, kappa: 0.6776, kb_relative_information_score: 106.6309, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8678, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7075, scimark_benchmark: 477.4911, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 132.8138, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7707, 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: 0.8247, f_measure: 0.8274, kappa: 0.6568, kb_relative_information_score: 124.7881, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8481, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8239, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.8262, kappa: 0.6561, kb_relative_information_score: 102.4458, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8562, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7376, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8395, kappa: 0.6792, kb_relative_information_score: 103.6357, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8502, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7111, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 101.8004, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8326, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7196, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8283, kappa: 0.6575, kb_relative_information_score: 104.5374, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8418, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7231, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 101.7972, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8326, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7195, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 132.8138, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7707, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8274, kappa: 0.6568, kb_relative_information_score: 124.7881, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8481, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8239, 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: 0.8372, f_measure: 0.855, kappa: 0.7109, kb_relative_information_score: 114.9829, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8711, predictive_accuracy: 0.8571, prior_entropy: 0.9984, recall: 0.8571, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6859, scimark_benchmark: 1925.3565, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.8283, kappa: 0.6575, kb_relative_information_score: 104.9496, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8418, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7332, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.7563, kappa: 0.5111, kb_relative_information_score: 95.8769, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.7566, predictive_accuracy: 0.7566, prior_entropy: 0.9984, recall: 0.7566, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9824, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8391, kappa: 0.6789, kb_relative_information_score: 114.3898, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8529, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6884, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.8325, kappa: 0.6673, kb_relative_information_score: 106.1771, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8556, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7176, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.8262, kappa: 0.6561, kb_relative_information_score: 102.4458, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8562, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7376, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8401, kappa: 0.6799, kb_relative_information_score: 104.4226, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.846, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7136, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 101.8004, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8326, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7196, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8283, kappa: 0.6575, kb_relative_information_score: 104.5374, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8418, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7231, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.8283, kappa: 0.6575, kb_relative_information_score: 104.9496, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8418, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7332, 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: 0.8419, f_measure: 0.8262, kappa: 0.6561, kb_relative_information_score: 102.6735, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8562, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.719, 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: 0.8367, f_measure: 0.855, kappa: 0.7109, kb_relative_information_score: 114.6402, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8711, predictive_accuracy: 0.8571, prior_entropy: 0.9984, recall: 0.8571, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.687, scimark_benchmark: 1834.908, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8391, kappa: 0.6789, kb_relative_information_score: 114.3898, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8529, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6884, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8391, kappa: 0.6789, kb_relative_information_score: 114.3898, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8529, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6884, 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: 0.8902, f_measure: 0.8391, kappa: 0.6789, kb_relative_information_score: 114.412, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8529, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6714, 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: 0.8487, f_measure: 0.8376, kappa: 0.6779, kb_relative_information_score: 108.2401, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8634, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7028, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8536, kappa: 0.71, kb_relative_information_score: 113.1358, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8828, predictive_accuracy: 0.8571, prior_entropy: 0.9984, recall: 0.8571, relative_absolute_error: 0.4315, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6641, 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: 0.8411, f_measure: 0.8222, kappa: 0.6462, kb_relative_information_score: 104.5089, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8407, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7105, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 132.8138, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7707, 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: 0.8444, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 132.8138, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7707, scimark_benchmark: 1215.996, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8052, kappa: 0.6135, kb_relative_information_score: 101.021, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.829, predictive_accuracy: 0.8095, prior_entropy: 0.9984, recall: 0.8095, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7404, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8308, kappa: 0.6609, kb_relative_information_score: 121.2251, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.831, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7079, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7064, kappa: 0.4234, kb_relative_information_score: 86.4597, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.7254, predictive_accuracy: 0.709, prior_entropy: 0.9984, recall: 0.709, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.886, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.8052, kappa: 0.6135, kb_relative_information_score: 85.3531, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.829, predictive_accuracy: 0.8095, prior_entropy: 0.9984, recall: 0.8095, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7702, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.8222, kappa: 0.6462, kb_relative_information_score: 104.4349, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8407, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7456, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8007, kappa: 0.6034, kb_relative_information_score: 92.6906, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8182, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7722, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3601, kb_relative_information_score: 8.4156, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8036, kappa: 0.6062, kb_relative_information_score: 114.756, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8052, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 132.8138, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7707, 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

OpenML bootcamp

From your own software

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

OpenML APIs