OpenML
Supervised Classification on hepatitis

Supervised Classification on hepatitis

Task 54 Supervised Classification hepatitis 834 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_50 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.757, kappa: 0.1825, kb_relative_information_score: 16.8631, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7768, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9003, scimark_benchmark: 930.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7752, kappa: 0.2541, kb_relative_information_score: 44.938, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7764, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4251, root_relative_squared_error: 1.0501, scimark_benchmark: 945.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.839, kappa: 0.4922, kb_relative_information_score: 57.0269, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.9493, scimark_benchmark: 908.5936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8378, kappa: 0.502, kb_relative_information_score: 66.0151, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8369, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.979, scimark_benchmark: 925.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.8115, kappa: 0.3909, kb_relative_information_score: 43.882, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8088, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9113, scimark_benchmark: 944.015,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.839, kappa: 0.4922, kb_relative_information_score: 57.0269, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.9493, scimark_benchmark: 939.6122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.831, kappa: 0.4644, kb_relative_information_score: 42.0118, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.828, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.8452, scimark_benchmark: 917.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 32.1963, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.8172, kappa: 0.4356, kb_relative_information_score: 53.4819, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8153, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0245, scimark_benchmark: 934.2037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.8226, kappa: 0.4493, kb_relative_information_score: 55.1999, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8201, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5422, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.0094, scimark_benchmark: 918.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.8094, kappa: 0.4085, kb_relative_information_score: 52.2352, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8067, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.0686, scimark_benchmark: 938.1332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8009, kappa: 0.3627, kb_relative_information_score: 56.6058, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.796, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5479, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4125, root_relative_squared_error: 1.019, scimark_benchmark: 889.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 47.7388, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8956, scimark_benchmark: 926.7094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.8335, kappa: 0.4776, kb_relative_information_score: 61.2806, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8305, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9705, scimark_benchmark: 938.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.7987, kappa: 0.3653, kb_relative_information_score: 45.2062, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.794, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4299, root_relative_squared_error: 1.0621, scimark_benchmark: 940.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8146, kappa: 0.4066, kb_relative_information_score: 39.2633, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.811, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.34, root_relative_squared_error: 0.84, scimark_benchmark: 944.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.8421, kappa: 0.4945, kb_relative_information_score: 46.6431, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.841, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.8544, scimark_benchmark: 926.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.7649, kappa: 0.2178, kb_relative_information_score: 45.2509, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.765, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1048, scimark_benchmark: 943.1258,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8222, kappa: 0.4207, kb_relative_information_score: 38.5689, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8239, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.8299, scimark_benchmark: 942.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7987, kappa: 0.3653, kb_relative_information_score: 26.1875, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.794, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.8904, scimark_benchmark: 940.9661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7696, kappa: 0.2556, kb_relative_information_score: 17.9703, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7616, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9547, scimark_benchmark: 914.0292,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 54.3621, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0427, scimark_benchmark: 926.2486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.7511, kappa: 0.189, kb_relative_information_score: 32.6194, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.0362, scimark_benchmark: 915.6513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.8396, kappa: 0.5134, kb_relative_information_score: 66.8494, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8406, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9802, scimark_benchmark: 933.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.7975, kappa: 0.3458, kb_relative_information_score: 34.2772, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7931, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.8639, scimark_benchmark: 920.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.8093, kappa: 0.3925, kb_relative_information_score: 55.2532, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8049, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5475, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0246, scimark_benchmark: 927.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.8396, kappa: 0.5134, kb_relative_information_score: 66.2189, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8406, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9919, scimark_benchmark: 939.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7957, kappa: 0.3491, kb_relative_information_score: 46.4298, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7903, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4223, root_relative_squared_error: 1.0434, scimark_benchmark: 910.0538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.7957, kappa: 0.3491, kb_relative_information_score: 46.8075, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7903, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.0504, scimark_benchmark: 947.3624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8412, kappa: 0.5045, kb_relative_information_score: 68.5203, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8388, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.949, scimark_benchmark: 944.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 54.3621, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0427, scimark_benchmark: 928.7698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.8357, kappa: 0.4901, kb_relative_information_score: 65.9113, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8335, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9925, scimark_benchmark: 914.7043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8484, kappa: 0.5483, kb_relative_information_score: 64.6589, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.853, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.8393, scimark_benchmark: 945.0817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7801, kappa: 0.2683, kb_relative_information_score: 28.8676, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7865, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.8669, scimark_benchmark: 932.6204,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7935, kappa: 0.3699, kb_relative_information_score: 40.669, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7935, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.0356, scimark_benchmark: 942.1844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.831, kappa: 0.4644, kb_relative_information_score: 66.9951, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.828, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.973, scimark_benchmark: 869.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.804, kappa: 0.3787, kb_relative_information_score: 53.0864, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7993, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9599, scimark_benchmark: 940.3294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8041, kappa: 0.3953, kb_relative_information_score: 46.3958, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8021, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.846, scimark_benchmark: 875.8217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7957, kappa: 0.3491, kb_relative_information_score: 28.6349, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7903, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.8824, scimark_benchmark: 873.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.8175, kappa: 0.4216, kb_relative_information_score: 62.6021, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8136, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.9847, scimark_benchmark: 946.6713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.8175, kappa: 0.4216, kb_relative_information_score: 46.9763, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8136, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.936, scimark_benchmark: 944.7025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7911, kappa: 0.355, kb_relative_information_score: 41.2064, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7889, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.9441, scimark_benchmark: 947.2703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.8175, kappa: 0.4216, kb_relative_information_score: 56.011, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8136, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9634, scimark_benchmark: 897.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.839, kappa: 0.4922, kb_relative_information_score: 57.0269, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.9493, scimark_benchmark: 948.8363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 59.6262, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4113, root_relative_squared_error: 1.0161, scimark_benchmark: 946.6734,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.8226, kappa: 0.4493, kb_relative_information_score: 56.7065, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8201, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4055, root_relative_squared_error: 1.0018, scimark_benchmark: 922.4321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8558, kappa: 0.5385, kb_relative_information_score: 63.1794, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.856, predictive_accuracy: 0.8645, prior_entropy: 0.7418, recall: 0.8645, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.8069, scimark_benchmark: 927.5182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.839, kappa: 0.4922, kb_relative_information_score: 57.0269, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.9493, scimark_benchmark: 940.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.808, kappa: 0.3743, kb_relative_information_score: 53.0011, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8072, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4097, root_relative_squared_error: 1.0122, scimark_benchmark: 927.1468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.8468, kappa: 0.5193, kb_relative_information_score: 55.0233, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8444, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8601, scimark_benchmark: 913.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8256, kappa: 0.4499, kb_relative_information_score: 52.86, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8222, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.8179, scimark_benchmark: 922.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.8226, kappa: 0.4493, kb_relative_information_score: 54.0898, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8201, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.0182, scimark_benchmark: 940.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 57.6086, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9775, scimark_benchmark: 939.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.7853, kappa: 0.323, kb_relative_information_score: 33.7344, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7799, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.45, root_relative_squared_error: 1.1118, scimark_benchmark: 946.9244,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8638, kappa: 0.5661, kb_relative_information_score: 61.3396, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8636, predictive_accuracy: 0.871, prior_entropy: 0.7418, recall: 0.871, relative_absolute_error: 0.5695, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.7899, scimark_benchmark: 938.7018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7858, kappa: 0.3426, kb_relative_information_score: 36.2381, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7847, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0668, scimark_benchmark: 930.0574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 54.5746, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.0362, scimark_benchmark: 944.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.8421, kappa: 0.4945, kb_relative_information_score: 41.1973, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.841, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.8336, scimark_benchmark: 925.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7755, kappa: 0.3187, kb_relative_information_score: 24.1044, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7768, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4062, root_relative_squared_error: 1.0034, scimark_benchmark: 914.6677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.7938, kappa: 0.328, kb_relative_information_score: 35.0608, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7905, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.9894, scimark_benchmark: 931.4154,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.839, kappa: 0.4922, kb_relative_information_score: 57.0269, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.9493, scimark_benchmark: 918.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.8057, kappa: 0.3499, kb_relative_information_score: 41.615, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8357, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9054, scimark_benchmark: 945.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.8202, kappa: 0.4358, kb_relative_information_score: 57.5927, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8167, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.8104, kappa: 0.3692, kb_relative_information_score: 44.4575, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8294, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.894, scimark_benchmark: 942.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.8122, kappa: 0.4076, kb_relative_information_score: 54.3621, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8081, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0427, scimark_benchmark: 577.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8364, kappa: 0.467, kb_relative_information_score: 37.1713, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8406, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.8358, scimark_benchmark: 576.9809,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.7734, kappa: 0.2748, kb_relative_information_score: 33.3333, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.766, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.131, scimark_benchmark: 850.6547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8148, kappa: 0.422, kb_relative_information_score: 59.4071, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8115, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.9921, scimark_benchmark: 868.2866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7585, kappa: 0.2383, kb_relative_information_score: 21.2547, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7517, predictive_accuracy: 0.7677, prior_entropy: 0.7418, recall: 0.7677, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9245, scimark_benchmark: 906.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7911, kappa: 0.355, kb_relative_information_score: 39.9416, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7889, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.427, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.8378, kappa: 0.502, kb_relative_information_score: 54.4051, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8369, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.363, root_relative_squared_error: 0.8969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7872, kappa: 0.3187, kb_relative_information_score: 44.7437, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.781, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0799, scimark_benchmark: 945.0421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.8545, kappa: 0.5458, kb_relative_information_score: 76.5069, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8524, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.9303, scimark_benchmark: 942.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.839, kappa: 0.4922, kb_relative_information_score: 57.0269, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.9493, scimark_benchmark: 942.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8341, kappa: 0.4996, kb_relative_information_score: 64.1357, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.9811, scimark_benchmark: 908.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.8115, kappa: 0.3909, kb_relative_information_score: 59.2195, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8088, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4174, root_relative_squared_error: 1.0311, scimark_benchmark: 945.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 69.696, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8343, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9721, scimark_benchmark: 921.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.8302, kappa: 0.4759, kb_relative_information_score: 62.7117, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8285, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4096, root_relative_squared_error: 1.0118, scimark_benchmark: 948.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.778, kappa: 0.3147, kb_relative_information_score: 24.5789, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7756, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.074, scimark_benchmark: 919.2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.8202, kappa: 0.4358, kb_relative_information_score: 54.1259, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8167, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9803, scimark_benchmark: 949.5216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 949.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.7729, kappa: 0.3028, kb_relative_information_score: 21.9019, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7716, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.0789, scimark_benchmark: 947.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.8489, kappa: 0.5309, kb_relative_information_score: 46.3558, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8469, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.8715, scimark_benchmark: 919.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7911, kappa: 0.355, kb_relative_information_score: 22.6357, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7889, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9603, scimark_benchmark: 947.7685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.7938, kappa: 0.328, kb_relative_information_score: 23.7171, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7905, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9756, scimark_benchmark: 924.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7569, kappa: 0.2453, kb_relative_information_score: 30.4493, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.753, predictive_accuracy: 0.7613, prior_entropy: 0.7418, recall: 0.7613, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.441, root_relative_squared_error: 1.0895, scimark_benchmark: 935.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7987, kappa: 0.3653, kb_relative_information_score: 48.0793, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.794, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.9402, scimark_benchmark: 948.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7719, kappa: 0.2806, kb_relative_information_score: 25.3066, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7658, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9777, scimark_benchmark: 949.0349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7883, kappa: 0.3394, kb_relative_information_score: 26.2914, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7843, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.396, root_relative_squared_error: 0.9784, scimark_benchmark: 935.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.8502, kappa: 0.5227, kb_relative_information_score: 59.6222, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8489, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.8306, scimark_benchmark: 947.8115,

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