Task
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 14033 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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14033 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 55.6143, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.0247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, kappa: 0.3922, kb_relative_information_score: 31.6728, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6159, prior_entropy: 1.7898, recall: 0.6159, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8522, kappa: 0.8113, kb_relative_information_score: 622.8422, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8361, predictive_accuracy: 0.8716, prior_entropy: 1.7898, recall: 0.8716, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, kb_relative_information_score: 5.3491, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7898, recall: 0.352, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, kappa: 0.8554, kb_relative_information_score: 500.9006, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.9025, prior_entropy: 1.7898, recall: 0.9025, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.5619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.8204, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7898, recall: 0.352, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4168, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, kappa: -0.0002, kb_relative_information_score: 7.8894, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3543, prior_entropy: 1.7898, recall: 0.3543, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4148, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 4.7689, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 25.1642, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4157, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 9.766, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7898, recall: 0.352, relative_absolute_error: 1.0163, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4157, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, kappa: 0.4664, kb_relative_information_score: 222.5399, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6492, prior_entropy: 1.7898, recall: 0.6492, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 13.9699, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7898, recall: 0.352, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 10.0149, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, kb_relative_information_score: 8.1317, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, kb_relative_information_score: 8.6842, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4148, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, kb_relative_information_score: 9.2774, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0187, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4158, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, kappa: 0.4513, kb_relative_information_score: 294.116, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6528, prior_entropy: 1.7898, recall: 0.6528, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9747, kappa: 0.9636, kb_relative_information_score: 737.8275, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9754, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: 17.7276, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.415, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kappa: -0.0005, kb_relative_information_score: 6.3995, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3591, prior_entropy: 1.7898, recall: 0.3591, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9643, kappa: 0.9479, kb_relative_information_score: 701.1083, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9648, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, kappa: 0.5739, kb_relative_information_score: 208.6625, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.7265, prior_entropy: 1.7898, recall: 0.7265, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, kappa: 0.4782, kb_relative_information_score: 317.0172, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.648, prior_entropy: 1.7898, recall: 0.648, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 86.0593, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7898, recall: 0.352, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.3409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 708.5721, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9741, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, kb_relative_information_score: 3.2155, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.2339, kappa: 0.0477, kb_relative_information_score: 23.2685, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.4256, predictive_accuracy: 0.2366, prior_entropy: 1.7898, recall: 0.2366, relative_absolute_error: 1.11, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.6178, root_relative_squared_error: 1.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 12.088, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8935, kappa: 0.8574, kb_relative_information_score: 396.9935, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9083, predictive_accuracy: 0.9037, prior_entropy: 1.7898, recall: 0.9037, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.6785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9761, kappa: 0.9653, kb_relative_information_score: 740.3907, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.928, kappa: 0.8987, kb_relative_information_score: 624.318, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9334, predictive_accuracy: 0.931, prior_entropy: 1.7898, recall: 0.931, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, kappa: 0.5466, kb_relative_information_score: 196.5105, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.7099, prior_entropy: 1.7898, recall: 0.7099, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, kappa: 0.3999, kb_relative_information_score: 236.3222, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6207, prior_entropy: 1.7898, recall: 0.6207, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kb_relative_information_score: 1.7529, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9773, kappa: 0.967, kb_relative_information_score: 736.3691, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9776, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.2759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.6389, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.2057, prior_entropy: 1.7898, recall: 0.2057, relative_absolute_error: 1.1549, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.6302, root_relative_squared_error: 1.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, kb_relative_information_score: 56.4027, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, kappa: 0.7459, kb_relative_information_score: 416.3913, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.8288, prior_entropy: 1.7898, recall: 0.8288, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.3636, kappa: 0.1082, kb_relative_information_score: 100.6187, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.4227, predictive_accuracy: 0.3329, prior_entropy: 1.7898, recall: 0.3329, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5775, root_relative_squared_error: 1.3931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 19.9714, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4178, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9642, kappa: 0.9478, kb_relative_information_score: 669.0461, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9652, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 8.9598, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9427, kappa: 0.9211, kb_relative_information_score: 708.3959, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9483, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, kappa: 0.8696, kb_relative_information_score: 555.4678, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.912, prior_entropy: 1.7898, recall: 0.912, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: 9.997, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, kappa: 0.4461, kb_relative_information_score: 139.9866, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6492, prior_entropy: 1.7898, recall: 0.6492, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0002, kb_relative_information_score: 13.1471, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3543, prior_entropy: 1.7898, recall: 0.3543, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.415, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, kappa: 0.5961, kb_relative_information_score: 261.9288, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.7301, prior_entropy: 1.7898, recall: 0.7301, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.336, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9448, kappa: 0.9249, kb_relative_information_score: 590.4195, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9512, predictive_accuracy: 0.9489, prior_entropy: 1.7898, recall: 0.9489, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 24.3702, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7898, recall: 0.352, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8537, kappa: 0.8051, kb_relative_information_score: 576.4661, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8575, predictive_accuracy: 0.868, prior_entropy: 1.7898, recall: 0.868, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.5466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9438, kappa: 0.9197, kb_relative_information_score: 632.1131, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9467, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 791.9493, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, kb_relative_information_score: 1.8956, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 13.9136, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.415, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.975, kappa: 0.9636, kb_relative_information_score: 736.4275, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kb_relative_information_score: 34.2633, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4185, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 17.2934, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, kb_relative_information_score: 1.6314, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.923, kappa: 0.8883, kb_relative_information_score: 628.3956, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9254, predictive_accuracy: 0.9239, prior_entropy: 1.7898, recall: 0.9239, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, kb_relative_information_score: 14.6439, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4148, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, kb_relative_information_score: 9.7636, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4149, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 6.6945, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7898, recall: 0.352, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4149, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8158, kappa: 0.7296, kb_relative_information_score: 627.102, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8301, predictive_accuracy: 0.8121, prior_entropy: 1.7898, recall: 0.8121, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, kappa: -0.0069, kb_relative_information_score: 9.5946, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.2378, prior_entropy: 1.7898, recall: 0.2378, relative_absolute_error: 1.1082, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.6173, root_relative_squared_error: 1.4891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: 6.608, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7898, recall: 0.352, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9686, kappa: 0.9548, kb_relative_information_score: 706.9147, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9697, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kb_relative_information_score: 18.0091, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.9891, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kappa: -0.0012, kb_relative_information_score: -124.4464, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.0785, prior_entropy: 1.7898, recall: 0.0785, relative_absolute_error: 1.3399, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.6788, root_relative_squared_error: 1.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9571, kappa: 0.9377, kb_relative_information_score: 759.2392, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9574, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 8.5122, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9356, kappa: 0.9062, kb_relative_information_score: 607.294, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9372, predictive_accuracy: 0.9358, prior_entropy: 1.7898, recall: 0.9358, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 5.9787, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kappa: -0.0062, kb_relative_information_score: -56.1625, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.1677, prior_entropy: 1.7898, recall: 0.1677, relative_absolute_error: 1.2102, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.6451, root_relative_squared_error: 1.5561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9679, kappa: 0.9533, kb_relative_information_score: 778.7311, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9681, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 93.645, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7898, recall: 0.352, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.3731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kb_relative_information_score: 9.7657, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0315, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.417, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9735, kappa: 0.9618, kb_relative_information_score: 677.7415, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9744, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 59.3142, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7898, recall: 0.352, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9002, kappa: 0.8557, kb_relative_information_score: 710.4724, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9027, predictive_accuracy: 0.9013, prior_entropy: 1.7898, recall: 0.9013, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.981, kappa: 0.9723, kb_relative_information_score: 733.0547, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.2856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 33.1782, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4158, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, kb_relative_information_score: 11.7399, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4148, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 10.778, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0169, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4155, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 30.1403, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7898, recall: 0.352, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 703.9958, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.7898, recall: 0.9857, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.136, root_relative_squared_error: 0.3281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 26.218, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4165, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.6053, kappa: 0.4375, kb_relative_information_score: 399.8835, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.6875, predictive_accuracy: 0.5886, prior_entropy: 1.7898, recall: 0.5886, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4478, root_relative_squared_error: 1.0802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, kb_relative_information_score: 3.4497, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, kb_relative_information_score: 5.3421, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4149, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, kappa: -0.0077, kb_relative_information_score: -40.0136, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.1879, prior_entropy: 1.7898, recall: 0.1879, relative_absolute_error: 1.1809, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.6372, root_relative_squared_error: 1.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 25.8774, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, kappa: 0.7591, kb_relative_information_score: 304.866, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.8395, prior_entropy: 1.7898, recall: 0.8395, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.908, kappa: 0.8704, kb_relative_information_score: 525.8474, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 1.7898, recall: 0.912, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.5612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 90.4826, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3472, prior_entropy: 1.7898, recall: 0.3472, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5713, root_relative_squared_error: 1.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9279, kappa: 0.8957, kb_relative_information_score: 649.0747, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9283, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, kappa: 0.6232, kb_relative_information_score: 250.645, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.7503, prior_entropy: 1.7898, recall: 0.7503, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.8119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 18.8354, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7898, recall: 0.352, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4168, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9001, kappa: 0.8546, kb_relative_information_score: 679.0808, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9012, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4604,

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