OpenML
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: 0.862, 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: 0.8672, 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: 0.9129, 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 - 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: 0.9355, f_measure: 0.7648, kappa: 0.6946, kb_relative_information_score: 134.644, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7663, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.6587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.7618, kappa: 0.6906, kb_relative_information_score: 141.4259, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7634, predictive_accuracy: 0.761, prior_entropy: 2.3268, recall: 0.761, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.7036, scimark_benchmark: 944.0184,
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: 938.2413,
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: 0.8607, 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: 0.8487, f_measure: 0.5856, kappa: 0.4535, kb_relative_information_score: 97.9112, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6026, predictive_accuracy: 0.5902, prior_entropy: 2.3268, recall: 0.5902, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.279, root_relative_squared_error: 0.8408, scimark_benchmark: 943.2364,
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: 0.9202, 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: 0.9206, 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: 0.9604, 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: 0.8936, 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 - 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: 0.9246, f_measure: 0.8534, kappa: 0.8096, kb_relative_information_score: 160.241, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.854, predictive_accuracy: 0.8537, prior_entropy: 2.3268, recall: 0.8537, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.6123, scimark_benchmark: 915.5577,
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: 0.9099, 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: 0.875, 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: 0.9056, 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: 0.929, 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: 0.901, 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 - 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: 0.9279, 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: 0.864, 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: 0.9587, 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 - 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: 0.867, 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: 0.9155, 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: 0.9283, 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: 0.8796, f_measure: 0.6809, kappa: 0.5896, kb_relative_information_score: 126.3868, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6907, predictive_accuracy: 0.6829, prior_entropy: 2.3268, recall: 0.6829, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.8396, scimark_benchmark: 945.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8737, kappa: 0.8345, kb_relative_information_score: 170.8968, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8795, predictive_accuracy: 0.8732, prior_entropy: 2.3268, recall: 0.8732, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.5738, scimark_benchmark: 945.3445,
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: 0.4638, 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: 0.9648, 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: 0.8936, 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,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, build_cpu_time: 0.0086, build_memory: 824464884.6829, f_measure: 0.6573, kappa: 0.5673, kb_relative_information_score: 112.0108, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6809, predictive_accuracy: 0.6732, prior_entropy: 2.3268, recall: 0.6732, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.8135, scimark_benchmark: 902.1764,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, build_cpu_time: 3.7875, build_memory: 2148980528.8976, f_measure: 0.8366, kappa: 0.7899, kb_relative_information_score: 129.3893, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8408, predictive_accuracy: 0.839, prior_entropy: 2.3268, recall: 0.839, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.6222, scimark_benchmark: 914.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, build_cpu_time: 7.8107, build_memory: 1327622784.8976, f_measure: 0.8475, kappa: 0.8028, kb_relative_information_score: 129.8218, mean_absolute_error: 0.1096, 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: 0.4963, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.6194, scimark_benchmark: 936.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, build_cpu_time: 0.0973, build_memory: 841273235.5902, 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: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, build_cpu_time: 0.0378, build_memory: 1111221241.2098, f_measure: 0.8628, kappa: 0.8217, kb_relative_information_score: 138.8389, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8645, predictive_accuracy: 0.8634, prior_entropy: 2.3268, recall: 0.8634, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5892, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, build_cpu_time: 0.0091, build_memory: 286330975.4146, f_measure: 0.8292, kappa: 0.7775, kb_relative_information_score: 140.9584, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8296, predictive_accuracy: 0.8293, prior_entropy: 2.3268, recall: 0.8293, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.5985, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, build_cpu_time: 0.2738, build_memory: 718153116.9951, 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: 933.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, build_cpu_time: 12.0865, build_memory: 888108898.9659, 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: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, build_cpu_time: 3.2017, build_memory: 593166659.3951, 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: 945.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, build_cpu_time: 1.4939, build_memory: 746611610.2634, f_measure: 0.6904, kappa: 0.6065, kb_relative_information_score: 35.5051, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6879, predictive_accuracy: 0.6976, prior_entropy: 2.3268, recall: 0.6976, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.9395, scimark_benchmark: 942.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, build_cpu_time: 0.7265, build_memory: 1070340244.8781, f_measure: 0.7022, kappa: 0.619, kb_relative_information_score: 35.6299, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7034, predictive_accuracy: 0.7073, prior_entropy: 2.3268, recall: 0.7073, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9393, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, build_cpu_time: 0.0052, build_memory: 336401066.9268, 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: 938.2445,

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