Task
Supervised Classification on autos

Supervised Classification on autos

Task 9 Supervised Classification autos 1382 runs submitted
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  • basic study_1 study_107 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8133, kappa: 0.7585, kb_relative_information_score: 157.6909, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.816, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.6853, scimark_benchmark: 928.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.7346, kappa: 0.6586, kb_relative_information_score: 136.0677, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7364, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.246, root_relative_squared_error: 0.7416, scimark_benchmark: 595.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8684, kappa: 0.8283, kb_relative_information_score: 169.9534, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8711, predictive_accuracy: 0.8683, prior_entropy: 2.3268, recall: 0.8683, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.194, root_relative_squared_error: 0.5847, scimark_benchmark: 595.7109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.7709, kappa: 0.7029, kb_relative_information_score: 144.5907, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7723, predictive_accuracy: 0.7707, prior_entropy: 2.3268, recall: 0.7707, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.7013, scimark_benchmark: 945.7799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.6698, kappa: 0.5762, kb_relative_information_score: 109.3277, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7064, predictive_accuracy: 0.6829, prior_entropy: 2.3268, recall: 0.6829, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.8043, scimark_benchmark: 897.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.5485, kappa: 0.4369, kb_relative_information_score: 100.6231, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5601, predictive_accuracy: 0.561, prior_entropy: 2.3268, recall: 0.561, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9077, scimark_benchmark: 904.6418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8146, kappa: 0.7584, kb_relative_information_score: 156.2744, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8175, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.673, scimark_benchmark: 929.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.7527, kappa: 0.6791, kb_relative_information_score: 141.2393, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7557, predictive_accuracy: 0.7512, prior_entropy: 2.3268, recall: 0.7512, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.7303, scimark_benchmark: 947.0818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.6974, kappa: 0.614, kb_relative_information_score: 35.4148, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6971, predictive_accuracy: 0.7024, prior_entropy: 2.3268, recall: 0.7024, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.9394, scimark_benchmark: 945.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.4797, kappa: 0.385, kb_relative_information_score: 64.9741, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.4812, predictive_accuracy: 0.5561, prior_entropy: 2.3268, recall: 0.5561, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.8715, scimark_benchmark: 930.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.7868, kappa: 0.724, kb_relative_information_score: 138.1997, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7917, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.6709, scimark_benchmark: 921.6638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.829, kappa: 0.7775, kb_relative_information_score: 158.9476, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8294, predictive_accuracy: 0.8293, prior_entropy: 2.3268, recall: 0.8293, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.6418, scimark_benchmark: 925.4634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7629, kappa: 0.6847, kb_relative_information_score: 134.4207, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7815, predictive_accuracy: 0.761, prior_entropy: 2.3268, recall: 0.761, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.7255, scimark_benchmark: 932.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8486, kappa: 0.8026, kb_relative_information_score: 163.9649, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8507, predictive_accuracy: 0.8488, prior_entropy: 2.3268, recall: 0.8488, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.206, root_relative_squared_error: 0.6208, scimark_benchmark: 940.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.7346, kappa: 0.6586, kb_relative_information_score: 136.0677, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7364, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.246, root_relative_squared_error: 0.7416, scimark_benchmark: 944.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8261, kappa: 0.7697, kb_relative_information_score: 141.5908, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8364, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.5845, scimark_benchmark: 943.1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7427, kappa: 0.6651, kb_relative_information_score: 138.1586, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7463, predictive_accuracy: 0.7415, prior_entropy: 2.3268, recall: 0.7415, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8034, scimark_benchmark: 929.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8489, kappa: 0.8038, kb_relative_information_score: 161.0708, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8492, predictive_accuracy: 0.8488, prior_entropy: 2.3268, recall: 0.8488, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.6207, scimark_benchmark: 908.3148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.7854, kappa: 0.7168, kb_relative_information_score: 152.52, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7955, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.735, kappa: 0.6543, kb_relative_information_score: 133.6688, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7425, predictive_accuracy: 0.7317, prior_entropy: 2.3268, recall: 0.7317, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.7299, scimark_benchmark: 932.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8426, kappa: 0.7962, kb_relative_information_score: 129.3537, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8449, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6227, scimark_benchmark: 596.1599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 595.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.7346, kappa: 0.6586, kb_relative_information_score: 136.0677, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7364, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.246, root_relative_squared_error: 0.7416, scimark_benchmark: 595.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8581, kappa: 0.8158, kb_relative_information_score: 140.359, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8593, predictive_accuracy: 0.8585, prior_entropy: 2.3268, recall: 0.8585, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.5775, scimark_benchmark: 937.0882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8684, kappa: 0.8287, kb_relative_information_score: 169.1165, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8699, predictive_accuracy: 0.8683, prior_entropy: 2.3268, recall: 0.8683, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.5774, scimark_benchmark: 938.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8066, kappa: 0.7459, kb_relative_information_score: 139.0247, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8164, predictive_accuracy: 0.8049, prior_entropy: 2.3268, recall: 0.8049, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.6124, scimark_benchmark: 943.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.6733, kappa: 0.5785, kb_relative_information_score: 122.1025, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6763, predictive_accuracy: 0.6732, prior_entropy: 2.3268, recall: 0.6732, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7546, scimark_benchmark: 944.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8142, kappa: 0.7577, kb_relative_information_score: 157.8697, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8198, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.6743, scimark_benchmark: 914.0536,
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: 0.864, f_measure: 0.7417, kappa: 0.664, kb_relative_information_score: 139.2652, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7455, predictive_accuracy: 0.7415, prior_entropy: 2.3268, recall: 0.7415, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.8085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8202, kappa: 0.7638, kb_relative_information_score: 142.7741, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8331, predictive_accuracy: 0.8195, prior_entropy: 2.3268, recall: 0.8195, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.5741, scimark_benchmark: 895.6362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7991, kappa: 0.7385, kb_relative_information_score: 148.6216, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6965, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.7899, kappa: 0.7271, kb_relative_information_score: 152.9549, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7923, predictive_accuracy: 0.7902, prior_entropy: 2.3268, recall: 0.7902, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.236, root_relative_squared_error: 0.7113, scimark_benchmark: 596.2406,
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: 0.8672, f_measure: 0.7124, kappa: 0.6274, kb_relative_information_score: 133.1142, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7139, predictive_accuracy: 0.7122, prior_entropy: 2.3268, recall: 0.7122, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.7951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.5032, kappa: 0.4131, kb_relative_information_score: 64.7506, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6824, predictive_accuracy: 0.5756, prior_entropy: 2.3268, recall: 0.5756, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8743, scimark_benchmark: 943.8142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.6937, kappa: 0.6106, kb_relative_information_score: 117.7847, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6923, predictive_accuracy: 0.7024, prior_entropy: 2.3268, recall: 0.7024, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.7286, scimark_benchmark: 942.3618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8485, kappa: 0.803, kb_relative_information_score: 164.3067, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8497, predictive_accuracy: 0.8488, prior_entropy: 2.3268, recall: 0.8488, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.6255, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8587, kappa: 0.8159, kb_relative_information_score: 167.0748, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8606, predictive_accuracy: 0.8585, prior_entropy: 2.3268, recall: 0.8585, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.5988, scimark_benchmark: 943.7049,
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: 0.9587, f_measure: 0.8483, kappa: 0.8028, kb_relative_information_score: 167.5286, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8513, predictive_accuracy: 0.8488, prior_entropy: 2.3268, recall: 0.8488, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.587, scimark_benchmark: 933.1971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8439, kappa: 0.7968, kb_relative_information_score: 158.6084, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8445, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.6323, scimark_benchmark: 949.1901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.6735, kappa: 0.581, kb_relative_information_score: 106.3183, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7247, predictive_accuracy: 0.6878, prior_entropy: 2.3268, recall: 0.6878, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.7931, scimark_benchmark: 942.6062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8239, kappa: 0.7705, kb_relative_information_score: 158.4855, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8262, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.213, root_relative_squared_error: 0.642,
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: 0.8783, f_measure: 0.8039, kappa: 0.7452, kb_relative_information_score: 154.7156, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8054, predictive_accuracy: 0.8049, prior_entropy: 2.3268, recall: 0.8049, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7107, scimark_benchmark: 876.3093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7055, kappa: 0.6261, kb_relative_information_score: 35.505, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7026, predictive_accuracy: 0.7122, prior_entropy: 2.3268, recall: 0.7122, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9391, scimark_benchmark: 916.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.6471, kappa: 0.5182, kb_relative_information_score: 55.3518, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6989, predictive_accuracy: 0.6293, prior_entropy: 2.3268, recall: 0.6293, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8744, scimark_benchmark: 923.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8398, kappa: 0.7964, kb_relative_information_score: 137.3472, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8383, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5977, scimark_benchmark: 936.7287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.3353, kappa: 0.2158, kb_relative_information_score: 11.7394, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2683, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9858, scimark_benchmark: 907.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8299, kappa: 0.7758, kb_relative_information_score: 160.6667, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8391, predictive_accuracy: 0.8293, prior_entropy: 2.3268, recall: 0.8293, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.6504, scimark_benchmark: 920.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7144, kappa: 0.6324, kb_relative_information_score: 130.7322, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7143, predictive_accuracy: 0.7171, prior_entropy: 2.3268, recall: 0.7171, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7814, scimark_benchmark: 908.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8537, kappa: 0.8101, kb_relative_information_score: 162.4138, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8547, predictive_accuracy: 0.8537, prior_entropy: 2.3268, recall: 0.8537, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.6047, scimark_benchmark: 941.1645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.702, kappa: 0.6199, kb_relative_information_score: 35.1426, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7009, predictive_accuracy: 0.7073, prior_entropy: 2.3268, recall: 0.7073, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.9402, scimark_benchmark: 945.1181,
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: 0.8522, f_measure: 0.6927, kappa: 0.6045, kb_relative_information_score: 94.3579, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6951, predictive_accuracy: 0.6976, prior_entropy: 2.3268, recall: 0.6976, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.7979, scimark_benchmark: 945.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.5869, kappa: 0.459, kb_relative_information_score: 99.774, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5979, predictive_accuracy: 0.5951, prior_entropy: 2.3268, recall: 0.5951, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.833, scimark_benchmark: 943.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7563, kappa: 0.6842, kb_relative_information_score: 140.989, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7627, predictive_accuracy: 0.7561, prior_entropy: 2.3268, recall: 0.7561, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.7309, scimark_benchmark: 920.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7403, kappa: 0.6606, kb_relative_information_score: 134.7304, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7502, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8126, scimark_benchmark: 941.4933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.5922, kappa: 0.4699, kb_relative_information_score: 98.2411, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6057, predictive_accuracy: 0.6049, prior_entropy: 2.3268, recall: 0.6049, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.8357, scimark_benchmark: 882.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.6449, kappa: 0.5537, kb_relative_information_score: 125.7929, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.648, predictive_accuracy: 0.6537, prior_entropy: 2.3268, recall: 0.6537, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.8537, scimark_benchmark: 935.8053,
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: 0.9338, f_measure: 0.8065, kappa: 0.7514, kb_relative_information_score: 144.6184, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8118, predictive_accuracy: 0.8098, prior_entropy: 2.3268, recall: 0.8098, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.6307, scimark_benchmark: 892.7711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 47.9554, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.9337, scimark_benchmark: 945.2635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7403, kappa: 0.6606, kb_relative_information_score: 134.7304, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7502, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8126, scimark_benchmark: 934.8491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.5088, kappa: 0.4319, kb_relative_information_score: 64.167, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6839, predictive_accuracy: 0.5854, prior_entropy: 2.3268, recall: 0.5854, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8747, scimark_benchmark: 926.3297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8187, kappa: 0.7639, kb_relative_information_score: 157.5754, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.821, predictive_accuracy: 0.8195, prior_entropy: 2.3268, recall: 0.8195, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.6495, scimark_benchmark: 886.6112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.6431, kappa: 0.5414, kb_relative_information_score: 104.3821, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6402, predictive_accuracy: 0.6488, prior_entropy: 2.3268, recall: 0.6488, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.797, scimark_benchmark: 947.5218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.6328, kappa: 0.5265, kb_relative_information_score: 46.2034, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6409, predictive_accuracy: 0.6439, prior_entropy: 2.3268, recall: 0.6439, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.9353, scimark_benchmark: 944.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.799, kappa: 0.7387, kb_relative_information_score: 149.6716, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.6986, scimark_benchmark: 913.8088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.6421, kappa: 0.5356, kb_relative_information_score: 112.7304, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6466, predictive_accuracy: 0.6439, prior_entropy: 2.3268, recall: 0.6439, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.8106, scimark_benchmark: 931.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319, scimark_benchmark: 941.1307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7843, kappa: 0.7194, kb_relative_information_score: 135.3083, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7871, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6595, scimark_benchmark: 943.5815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7372, kappa: 0.6579, kb_relative_information_score: 137.8805, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7406, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.8194, scimark_benchmark: 946.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7563, kappa: 0.6842, kb_relative_information_score: 140.989, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7627, predictive_accuracy: 0.7561, prior_entropy: 2.3268, recall: 0.7561, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.7309, scimark_benchmark: 943.3145,
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: 0.8646, f_measure: 0.4836, kappa: 0.3844, kb_relative_information_score: 64.8126, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5137, predictive_accuracy: 0.5561, prior_entropy: 2.3268, recall: 0.5561, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.8724, scimark_benchmark: 940.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.6449, kappa: 0.5537, kb_relative_information_score: 125.7929, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.648, predictive_accuracy: 0.6537, prior_entropy: 2.3268, recall: 0.6537, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.8537, scimark_benchmark: 899.2881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.495, kappa: 0.3939, kb_relative_information_score: 64.8964, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6667, predictive_accuracy: 0.561, prior_entropy: 2.3268, recall: 0.561, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.8726, scimark_benchmark: 934.7436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7765, kappa: 0.7128, kb_relative_information_score: 143.9765, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.783, predictive_accuracy: 0.7805, prior_entropy: 2.3268, recall: 0.7805, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.7274, scimark_benchmark: 946.1723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8119, kappa: 0.7585, kb_relative_information_score: 135.8533, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8191, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6261, scimark_benchmark: 946.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.6688, kappa: 0.571, kb_relative_information_score: 66.5843, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6837, predictive_accuracy: 0.678, prior_entropy: 2.3268, recall: 0.678, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.298, root_relative_squared_error: 0.8981, scimark_benchmark: 941.0084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8229, kappa: 0.7707, kb_relative_information_score: 127.663, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8262, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.211, root_relative_squared_error: 0.6361, scimark_benchmark: 924.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.6927, kappa: 0.6045, kb_relative_information_score: 94.3579, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6951, predictive_accuracy: 0.6976, prior_entropy: 2.3268, recall: 0.6976, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.7979, scimark_benchmark: 860.6141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8207, kappa: 0.7637, kb_relative_information_score: 140.8825, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8309, predictive_accuracy: 0.8195, prior_entropy: 2.3268, recall: 0.8195, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5978, scimark_benchmark: 940.6838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.4614, kappa: 0.3848, kb_relative_information_score: 54.1543, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3999, predictive_accuracy: 0.5512, prior_entropy: 2.3268, recall: 0.5512, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8797, scimark_benchmark: 930.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8228, kappa: 0.7708, kb_relative_information_score: 128.127, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8267, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8578, kappa: 0.8152, kb_relative_information_score: 139.9442, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8591, predictive_accuracy: 0.8585, prior_entropy: 2.3268, recall: 0.8585, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5891, scimark_benchmark: 944.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8139, kappa: 0.7581, kb_relative_information_score: 155.8102, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8161, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6648, scimark_benchmark: 932.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.6927, kappa: 0.6045, kb_relative_information_score: 94.3579, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6951, predictive_accuracy: 0.6976, prior_entropy: 2.3268, recall: 0.6976, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.7979, scimark_benchmark: 862.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 940.3721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 947.6769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5432, kappa: 0.4273, kb_relative_information_score: 101.7446, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5612, predictive_accuracy: 0.5512, prior_entropy: 2.3268, recall: 0.5512, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9574, scimark_benchmark: 946.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8352, kappa: 0.783, kb_relative_information_score: 155.9479, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8412, predictive_accuracy: 0.8341, prior_entropy: 2.3268, recall: 0.8341, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.5987, scimark_benchmark: 946.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.5804, kappa: 0.4385, kb_relative_information_score: 21.1219, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7044, predictive_accuracy: 0.5951, prior_entropy: 2.3268, recall: 0.5951, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.9654, scimark_benchmark: 940.2542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.5813, kappa: 0.4382, kb_relative_information_score: 20.9835, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7103, predictive_accuracy: 0.5951, prior_entropy: 2.3268, recall: 0.5951, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.9657, scimark_benchmark: 946.7616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.6369, kappa: 0.5351, kb_relative_information_score: 100.8311, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6311, predictive_accuracy: 0.6439, prior_entropy: 2.3268, recall: 0.6439, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.8179, scimark_benchmark: 919.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.6083, kappa: 0.4922, kb_relative_information_score: 86.0219, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6107, predictive_accuracy: 0.6146, prior_entropy: 2.3268, recall: 0.6146, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8502, scimark_benchmark: 918.7823,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs