OpenML
Supervised Classification on heart-c

Supervised Classification on heart-c

Task 48 Supervised Classification heart-c 665 runs submitted
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  • basic study_1 study_107 study_41 study_50 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, build_cpu_time: 0.003, build_memory: 1383669794.4026, f_measure: 0.7715, kappa: 0.5384, kb_relative_information_score: 103.7448, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.772, predictive_accuracy: 0.7723, prior_entropy: 1.0792, recall: 0.7723, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.7794, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, build_cpu_time: 4.0832, build_memory: 37547091.1155, f_measure: 0.7917, kappa: 0.5796, kb_relative_information_score: 146.2979, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 1.0792, recall: 0.7921, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.7666, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, build_cpu_time: 7.0745, build_memory: 1330799315.3003, f_measure: 0.8086, kappa: 0.6141, kb_relative_information_score: 153.2089, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8086, predictive_accuracy: 0.8086, prior_entropy: 1.0792, recall: 0.8086, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7294, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, build_cpu_time: 13.7984, build_memory: 502538309.967, f_measure: 0.8086, kappa: 0.6141, kb_relative_information_score: 155.2194, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8086, predictive_accuracy: 0.8086, prior_entropy: 1.0792, recall: 0.8086, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.711, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8349, kappa: 0.6669, kb_relative_information_score: 0.5558, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8348, predictive_accuracy: 0.835, prior_entropy: 1.0084, recall: 0.835, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.6932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, build_cpu_time: 28.0558, build_memory: 1304957143.1815, f_measure: 0.8314, kappa: 0.6597, kb_relative_information_score: 158.1147, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8315, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.221, root_relative_squared_error: 0.7016, scimark_benchmark: 943.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, build_cpu_time: 57.5443, build_memory: 111070731.2211, f_measure: 0.8346, kappa: 0.6661, kb_relative_information_score: 158.5555, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8349, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.6987, scimark_benchmark: 939.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 0.7419, build_memory: 876054044.2772, f_measure: 0.8241, kappa: 0.6446, kb_relative_information_score: 146.0382, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8262, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.715, scimark_benchmark: 934.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, build_cpu_time: 1.4084, build_memory: 126425319.4191, f_measure: 0.8339, kappa: 0.6645, kb_relative_information_score: 146.5506, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8365, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.7082, scimark_benchmark: 943.2244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, build_cpu_time: 0.3933, build_memory: 445419143.1815, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 145.1582, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7099, scimark_benchmark: 943.2844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.1546, build_memory: 619506749.967, f_measure: 0.8411, kappa: 0.6791, kb_relative_information_score: 144.8648, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8418, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.224, root_relative_squared_error: 0.7111, scimark_benchmark: 925.3901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, build_cpu_time: 0.1019, build_memory: 934752770.0594, f_measure: 0.8312, kappa: 0.6593, kb_relative_information_score: 144.6714, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8317, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.7128, scimark_benchmark: 899.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, build_cpu_time: 0.0498, build_memory: 207345883.8284, f_measure: 0.8279, kappa: 0.6524, kb_relative_information_score: 145.5976, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8285, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.227, root_relative_squared_error: 0.7206, scimark_benchmark: 928.0153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, build_cpu_time: 0.0423, build_memory: 1172732715.6964, f_measure: 0.8279, kappa: 0.6524, kb_relative_information_score: 145.5976, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8285, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.227, root_relative_squared_error: 0.7206, scimark_benchmark: 933.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, build_cpu_time: 0.0038, build_memory: 151860817.0561, f_measure: 0.7951, kappa: 0.5865, kb_relative_information_score: 148.0247, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7951, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8581, scimark_benchmark: 941.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7883, kappa: 0.5727, kb_relative_information_score: 155.3865, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7885, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.8478, scimark_benchmark: 947.2705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8367, kappa: 0.6703, kb_relative_information_score: 132.8476, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.842, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7569, scimark_benchmark: 943.4728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.808, kappa: 0.6123, kb_relative_information_score: 162.8188, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 1.0792, recall: 0.8086, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.7181, scimark_benchmark: 599.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8372, kappa: 0.6711, kb_relative_information_score: 160.3117, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8402, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.7052, scimark_benchmark: 595.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8142, kappa: 0.6247, kb_relative_information_score: 151.4227, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8159, predictive_accuracy: 0.8152, prior_entropy: 1.0792, recall: 0.8152, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.7441, scimark_benchmark: 898.2308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7847, kappa: 0.5652, kb_relative_information_score: 147.0547, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7853, predictive_accuracy: 0.7855, prior_entropy: 1.0792, recall: 0.7855, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.845, scimark_benchmark: 897.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8367, kappa: 0.6703, kb_relative_information_score: 132.8476, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.842, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7569, scimark_benchmark: 594.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.802, kappa: 0.6008, kb_relative_information_score: 169.8053, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.802, predictive_accuracy: 0.802, prior_entropy: 1.0792, recall: 0.802, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.7808, scimark_benchmark: 891.3287,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.7525, kappa: 0.5013, kb_relative_information_score: 142.4242, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7526, predictive_accuracy: 0.7525, prior_entropy: 1.0792, recall: 0.7525, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.995, scimark_benchmark: 935.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8211, kappa: 0.6386, kb_relative_information_score: 180.9656, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8221, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.7798, scimark_benchmark: 937.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8412, kappa: 0.6795, kb_relative_information_score: 151.7834, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8416, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7215, scimark_benchmark: 940.4299,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7949, kappa: 0.586, kb_relative_information_score: 167.4173, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7951, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.8899, scimark_benchmark: 933.1327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8477, kappa: 0.6925, kb_relative_information_score: 152.6347, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8484, predictive_accuracy: 0.8482, prior_entropy: 1.0792, recall: 0.8482, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.6969, scimark_benchmark: 943.1554,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.838, kappa: 0.673, kb_relative_information_score: 175.9119, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8382, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7217, scimark_benchmark: 945.2885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7986, kappa: 0.5939, kb_relative_information_score: 172.1332, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 1.0792, recall: 0.7987, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.8684, scimark_benchmark: 946.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7983, kappa: 0.5929, kb_relative_information_score: 164.1728, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7984, predictive_accuracy: 0.7987, prior_entropy: 1.0792, recall: 0.7987, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8725, scimark_benchmark: 944.3401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7675, kappa: 0.5304, kb_relative_information_score: 91.2225, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7694, predictive_accuracy: 0.769, prior_entropy: 1.0792, recall: 0.769, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.8083, scimark_benchmark: 932.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8174, kappa: 0.6312, kb_relative_information_score: 178.814, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8195, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8341, scimark_benchmark: 920.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.8044, kappa: 0.6049, kb_relative_information_score: 173.557, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8056, predictive_accuracy: 0.8053, prior_entropy: 1.0792, recall: 0.8053, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.8812, scimark_benchmark: 943.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7941, kappa: 0.584, kb_relative_information_score: 90.97, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7962, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.251, root_relative_squared_error: 0.7967, scimark_benchmark: 942.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 145.1582, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7099, scimark_benchmark: 945.2349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.782, kappa: 0.5603, kb_relative_information_score: 153.5038, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 1.0792, recall: 0.7822, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.8108, scimark_benchmark: 946.2425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.384, kb_relative_information_score: -0.4664, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0001, scimark_benchmark: 929.4295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.8071, kappa: 0.6104, kb_relative_information_score: 175.2203, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8103, predictive_accuracy: 0.8086, prior_entropy: 1.0792, recall: 0.8086, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8311, kappa: 0.6589, kb_relative_information_score: 137.3789, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.832, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.713, scimark_benchmark: 921.5549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.7753, kappa: 0.5465, kb_relative_information_score: 138.3644, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7752, predictive_accuracy: 0.7756, prior_entropy: 1.0792, recall: 0.7756, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.9127, scimark_benchmark: 917.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7496, kappa: 0.4967, kb_relative_information_score: 105.9299, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7511, predictive_accuracy: 0.7492, prior_entropy: 1.0792, recall: 0.7492, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.8958, scimark_benchmark: 927.0861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8117, kappa: 0.6201, kb_relative_information_score: 169.1834, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8117, predictive_accuracy: 0.8119, prior_entropy: 1.0792, recall: 0.8119, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.8179, scimark_benchmark: 926.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8245, kappa: 0.6455, kb_relative_information_score: 144.7398, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8253, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.7228, scimark_benchmark: 943.0829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8377, kappa: 0.6722, kb_relative_information_score: 178.5794, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8386, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.7321, scimark_benchmark: 945.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8367, kappa: 0.6703, kb_relative_information_score: 132.4655, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.842, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7569, scimark_benchmark: 914.2911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7363, kappa: 0.4696, kb_relative_information_score: 132.3496, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7373, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3247, root_relative_squared_error: 1.031, scimark_benchmark: 942.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7919, kappa: 0.5801, kb_relative_information_score: 164.4694, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 1.0792, recall: 0.7921, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.8901, scimark_benchmark: 938.9042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7808, kappa: 0.5572, kb_relative_information_score: 116.9417, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7828, predictive_accuracy: 0.7822, prior_entropy: 1.0792, recall: 0.7822, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8412, kappa: 0.6795, kb_relative_information_score: 151.7834, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8416, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7215, scimark_benchmark: 906.0926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8438, kappa: 0.6845, kb_relative_information_score: 161.3749, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.847, predictive_accuracy: 0.8449, prior_entropy: 1.0792, recall: 0.8449, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.7104, scimark_benchmark: 944.8368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8167, kappa: 0.6299, kb_relative_information_score: 148.8902, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8216, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.7154, scimark_benchmark: 939.0999,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.808, kappa: 0.6123, kb_relative_information_score: 175.0676, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 1.0792, recall: 0.8086, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.8779, scimark_benchmark: 945.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.7683, kappa: 0.532, kb_relative_information_score: 148.467, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7686, predictive_accuracy: 0.769, prior_entropy: 1.0792, recall: 0.769, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9566, scimark_benchmark: 941.6707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 181.1184, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.7187, scimark_benchmark: 946.4539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8367, kappa: 0.6703, kb_relative_information_score: 132.8476, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.842, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7569, scimark_benchmark: 896.7615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8049, kappa: 0.6063, kb_relative_information_score: 168.4141, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.805, predictive_accuracy: 0.8053, prior_entropy: 1.0792, recall: 0.8053, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8119, kappa: 0.621, kb_relative_information_score: 175.9693, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.812, predictive_accuracy: 0.8119, prior_entropy: 1.0792, recall: 0.8119, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.269, root_relative_squared_error: 0.8539, scimark_benchmark: 926.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8339, kappa: 0.6645, kb_relative_information_score: 146.5506, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8365, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.7082, scimark_benchmark: 907.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7883, kappa: 0.5727, kb_relative_information_score: 158.0583, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7885, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.8288, scimark_benchmark: 941.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8114, kappa: 0.6192, kb_relative_information_score: 143.533, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8118, predictive_accuracy: 0.8119, prior_entropy: 1.0792, recall: 0.8119, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.7299, scimark_benchmark: 929.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8234, kappa: 0.6433, kb_relative_information_score: 182.5406, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8284, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7713, scimark_benchmark: 911.5192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 83.1903, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7355, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8955, scimark_benchmark: 949.7815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8312, kappa: 0.6593, kb_relative_information_score: 148.0803, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8317, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.7258, scimark_benchmark: 902.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8279, kappa: 0.6524, kb_relative_information_score: 145.5976, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8285, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.227, root_relative_squared_error: 0.7206, scimark_benchmark: 937.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.7683, kappa: 0.532, kb_relative_information_score: 148.467, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7686, predictive_accuracy: 0.769, prior_entropy: 1.0792, recall: 0.769, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9566, scimark_benchmark: 943.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7524, kappa: 0.5007, kb_relative_information_score: 145.2759, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7523, predictive_accuracy: 0.7525, prior_entropy: 1.0792, recall: 0.7525, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.925, scimark_benchmark: 944.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7118, kappa: 0.418, kb_relative_information_score: 122.1434, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7121, predictive_accuracy: 0.7129, prior_entropy: 1.0792, recall: 0.7129, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3278, root_relative_squared_error: 1.0406, scimark_benchmark: 944.5912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8142, kappa: 0.6247, kb_relative_information_score: 145.6483, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8159, predictive_accuracy: 0.8152, prior_entropy: 1.0792, recall: 0.8152, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.7283, scimark_benchmark: 932.6739,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7715, kappa: 0.5384, kb_relative_information_score: 123.0999, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.772, predictive_accuracy: 0.7723, prior_entropy: 1.0792, recall: 0.7723, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.8686, scimark_benchmark: 921.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8346, kappa: 0.6661, kb_relative_information_score: 168.1503, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8349, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.6846, scimark_benchmark: 897.6996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8178, kappa: 0.6321, kb_relative_information_score: 177.7947, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8186, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.8238, scimark_benchmark: 946.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7883, kappa: 0.5727, kb_relative_information_score: 164.5707, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7885, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.9046, scimark_benchmark: 944.8099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7813, kappa: 0.5583, kb_relative_information_score: 155.6072, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7821, predictive_accuracy: 0.7822, prior_entropy: 1.0792, recall: 0.7822, relative_absolute_error: 0.4544, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.879, scimark_benchmark: 946.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8312, kappa: 0.6593, kb_relative_information_score: 187.4014, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8317, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.7829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 181.692, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.7141, scimark_benchmark: 927.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8219, kappa: 0.6411, kb_relative_information_score: 174.6417, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.822, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.254, root_relative_squared_error: 0.8065, scimark_benchmark: 930.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7785, kappa: 0.5529, kb_relative_information_score: 151.3929, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7785, predictive_accuracy: 0.7789, prior_entropy: 1.0792, recall: 0.7789, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.8114, scimark_benchmark: 578.1041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7741, kappa: 0.5438, kb_relative_information_score: 134.2519, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7761, predictive_accuracy: 0.7756, prior_entropy: 1.0792, recall: 0.7756, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.8116, scimark_benchmark: 933.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8245, kappa: 0.6455, kb_relative_information_score: 184.1768, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8253, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.8218, scimark_benchmark: 928.4053,

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