OpenML
Supervised Classification on postoperative-patient-data

Supervised Classification on postoperative-patient-data

Task 34 Supervised Classification postoperative-patient-data 705 runs submitted
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  • basic study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2502, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, predictive_accuracy: 0.7111, prior_entropy: 0.983, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3809, build_cpu_time: 15.4138, build_memory: 2489706604.8, f_measure: 0.5455, kappa: -0.1504, kb_relative_information_score: -16.6564, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4856, predictive_accuracy: 0.6222, prior_entropy: 1.0305, recall: 0.6222, relative_absolute_error: 1.137, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4137, root_relative_squared_error: 1.1017, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.354, build_cpu_time: 29.2228, build_memory: 919034334.4, f_measure: 0.5455, kappa: -0.1504, kb_relative_information_score: -17.1293, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4856, predictive_accuracy: 0.6222, prior_entropy: 1.0305, recall: 0.6222, relative_absolute_error: 1.1402, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4148, root_relative_squared_error: 1.1047, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3591, build_cpu_time: 0.1079, build_memory: 1337898440.8, f_measure: 0.5911, kb_relative_information_score: -4.7498, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3943, root_relative_squared_error: 1.0501, scimark_benchmark: 947.5525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3386, build_cpu_time: 0.1909, build_memory: 148923264, f_measure: 0.5911, kb_relative_information_score: -4.1211, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3936, root_relative_squared_error: 1.0483, scimark_benchmark: 941.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3386, build_cpu_time: 0.1364, build_memory: 192109823.2, f_measure: 0.5911, kb_relative_information_score: -4.1211, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3936, root_relative_squared_error: 1.0483, scimark_benchmark: 936.1847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3255, build_cpu_time: 0.0595, build_memory: 324756429.6, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -4.2955, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3967, root_relative_squared_error: 1.0564, scimark_benchmark: 945.2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3255, build_cpu_time: 0.054, build_memory: 443795069.6, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -4.2955, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3967, root_relative_squared_error: 1.0564, scimark_benchmark: 947.2388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3255, build_cpu_time: 0.0512, build_memory: 378973472, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -4.2955, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3967, root_relative_squared_error: 1.0564, scimark_benchmark: 945.7678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3274, build_cpu_time: 0.0255, build_memory: 1827666434.4, f_measure: 0.5801, kappa: -0.0413, kb_relative_information_score: -4.9377, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.501, predictive_accuracy: 0.6889, prior_entropy: 1.0305, recall: 0.6889, relative_absolute_error: 1.0229, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0615, scimark_benchmark: 917.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3597, build_cpu_time: 0.0113, build_memory: 2648871564.8, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -3.1088, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.394, root_relative_squared_error: 1.0494, scimark_benchmark: 899.6333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.449, build_cpu_time: 0.0091, build_memory: 509175442.4, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.2569, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3876, root_relative_squared_error: 1.0323, scimark_benchmark: 945.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, build_cpu_time: 0.0108, build_memory: 36864216, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.515, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.009, scimark_benchmark: 930.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, build_cpu_time: 0.0005, build_memory: 300457824, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.515, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.009, scimark_benchmark: 944.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, build_cpu_time: 0.0009, build_memory: 272437816, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.515, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.009, scimark_benchmark: 944.3069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4572, f_measure: 0.5932, kappa: -0.0059, kb_relative_information_score: 5.0206, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5732, predictive_accuracy: 0.6222, prior_entropy: 1.0305, recall: 0.6222, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.2635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5588, kappa: -0.0636, kb_relative_information_score: -9.0633, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5512, predictive_accuracy: 0.5667, prior_entropy: 1.0305, recall: 0.5667, relative_absolute_error: 1.0383, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.2555, scimark_benchmark: 944.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688, scimark_benchmark: 896.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4369, f_measure: 0.5395, kappa: -0.1667, kb_relative_information_score: -7.3101, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4829, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 1.019, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4286, root_relative_squared_error: 1.1416, scimark_benchmark: 897.2026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3605, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -1.4017, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3905, root_relative_squared_error: 1.0401, scimark_benchmark: 949.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4113, f_measure: 0.5286, kappa: -0.1779, kb_relative_information_score: -3.1946, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4971, predictive_accuracy: 0.5667, prior_entropy: 1.0305, recall: 0.5667, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.3074, scimark_benchmark: 896.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3722, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -1.1024, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3905, root_relative_squared_error: 1.04, scimark_benchmark: 596.1547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4806, f_measure: 0.6053, kappa: 0.0106, kb_relative_information_score: -2.2045, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5772, predictive_accuracy: 0.6556, prior_entropy: 1.0305, recall: 0.6556, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4426, root_relative_squared_error: 1.1789, scimark_benchmark: 896.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3915, f_measure: 0.5432, kappa: -0.1496, kb_relative_information_score: -6.4572, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4889, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.194, scimark_benchmark: 927.7569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4119, f_measure: 0.5594, kappa: -0.102, kb_relative_information_score: -1.7688, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5286, predictive_accuracy: 0.6, prior_entropy: 1.0305, recall: 0.6, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.3603, scimark_benchmark: 935.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3458, f_measure: 0.5745, kappa: -0.061, kb_relative_information_score: -22.6478, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 1.1945, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.1076, scimark_benchmark: 941.4534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4193, f_measure: 0.5692, kappa: -0.0753, kb_relative_information_score: 5.9195, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5274, predictive_accuracy: 0.6333, prior_entropy: 1.0305, recall: 0.6333, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.2643, scimark_benchmark: 939.2938,
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: 0.4327, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -27.1224, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.2235, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4028, root_relative_squared_error: 1.0727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3881, f_measure: 0.5874, kappa: -0.036, kb_relative_information_score: -6.3671, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5526, predictive_accuracy: 0.6444, prior_entropy: 1.0305, recall: 0.6444, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4321, root_relative_squared_error: 1.1509, scimark_benchmark: 926.703,
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: 0.3708, f_measure: 0.5271, kappa: -0.1978, kb_relative_information_score: -9.6947, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4771, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 1.0387, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4496, root_relative_squared_error: 1.1974, scimark_benchmark: 944.1124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.5911, kb_relative_information_score: -0.7095, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3763, root_relative_squared_error: 1.0022, scimark_benchmark: 928.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4202, f_measure: 0.5455, kappa: -0.1504, kb_relative_information_score: -6.9209, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4856, predictive_accuracy: 0.6222, prior_entropy: 1.0305, recall: 0.6222, relative_absolute_error: 1.0211, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.1033, scimark_benchmark: 941.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4087, f_measure: 0.5745, kappa: -0.061, kb_relative_information_score: -22.1001, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 1.1844, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4134, root_relative_squared_error: 1.1009, scimark_benchmark: 945.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3279, f_measure: 0.61, kappa: 0.0331, kb_relative_information_score: -22.2668, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.6424, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.1938, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4091, root_relative_squared_error: 1.0896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3458, f_measure: 0.5745, kappa: -0.061, kb_relative_information_score: -22.6478, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 1.1945, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.1076, scimark_benchmark: 919.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4553, f_measure: 0.5395, kappa: -0.1667, kb_relative_information_score: -6.8816, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4829, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.1366, scimark_benchmark: 902.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 16.109, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.737, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.143, scimark_benchmark: 922.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.402, f_measure: 0.5601, kappa: -0.0939, kb_relative_information_score: -0.4278, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5311, predictive_accuracy: 0.6, prior_entropy: 1.0305, recall: 0.6, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.3752, scimark_benchmark: 896.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3748, f_measure: 0.5743, kappa: -0.048, kb_relative_information_score: -12.0265, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.561, predictive_accuracy: 0.6444, prior_entropy: 1.0305, recall: 0.6444, relative_absolute_error: 1.1018, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.1794, scimark_benchmark: 931.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.5355, kappa: -0.1633, kb_relative_information_score: -4.1037, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5013, predictive_accuracy: 0.5778, prior_entropy: 1.0305, recall: 0.5778, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.4006, scimark_benchmark: 942.1434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.5451, kappa: -0.1325, kb_relative_information_score: -5.4424, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5184, predictive_accuracy: 0.5778, prior_entropy: 1.0305, recall: 0.5778, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.3859, scimark_benchmark: 919.5688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.461, f_measure: 0.5704, kappa: -0.0635, kb_relative_information_score: -1.6244, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5406, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.3068, scimark_benchmark: 944.4405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4178, f_measure: 0.5455, kappa: -0.1504, kb_relative_information_score: -7.5523, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4856, predictive_accuracy: 0.6222, prior_entropy: 1.0305, recall: 0.6222, relative_absolute_error: 1.0254, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.1043, scimark_benchmark: 932.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.5798, kappa: -0.0355, kb_relative_information_score: 0.9875, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5565, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.2129, scimark_benchmark: 915.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.5451, kappa: -0.1325, kb_relative_information_score: -5.0353, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5184, predictive_accuracy: 0.5778, prior_entropy: 1.0305, recall: 0.5778, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.389, scimark_benchmark: 910.0636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4074, f_measure: 0.5654, kappa: -0.1, kb_relative_information_score: -17.0819, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5213, predictive_accuracy: 0.6333, prior_entropy: 1.0305, recall: 0.6333, relative_absolute_error: 1.1448, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4132, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4747, f_measure: 0.5822, kappa: -0.0403, kb_relative_information_score: -8.7385, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5411, predictive_accuracy: 0.6556, prior_entropy: 1.0305, recall: 0.6556, relative_absolute_error: 1.048, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.435, root_relative_squared_error: 1.1586, scimark_benchmark: 927.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4522, f_measure: 0.5451, kappa: -0.1325, kb_relative_information_score: -7.6443, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5184, predictive_accuracy: 0.5778, prior_entropy: 1.0305, recall: 0.5778, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.3783, scimark_benchmark: 918.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2994, f_measure: 0.5325, kappa: -0.1704, kb_relative_information_score: -14.911, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4977, predictive_accuracy: 0.5778, prior_entropy: 1.0305, recall: 0.5778, relative_absolute_error: 1.1016, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4699, root_relative_squared_error: 1.2514, scimark_benchmark: 941.3211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 16.1236, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.1661, scimark_benchmark: 939.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3964, f_measure: 0.5801, kappa: -0.0413, kb_relative_information_score: 15.9255, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.501, predictive_accuracy: 0.6889, prior_entropy: 1.0305, recall: 0.6889, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4426, root_relative_squared_error: 1.1788, scimark_benchmark: 945.3325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3976, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -12.4677, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.087, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0397, scimark_benchmark: 944.0751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.5355, kappa: -0.1633, kb_relative_information_score: -6.3087, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5013, predictive_accuracy: 0.5778, prior_entropy: 1.0305, recall: 0.5778, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.2321, scimark_benchmark: 935.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4079, f_measure: 0.5601, kappa: -0.0939, kb_relative_information_score: 0.4103, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5311, predictive_accuracy: 0.6, prior_entropy: 1.0305, recall: 0.6, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.3611, scimark_benchmark: 937.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5555, kappa: -0.0526, kb_relative_information_score: -8.4916, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5559, predictive_accuracy: 0.5556, prior_entropy: 1.0305, recall: 0.5556, relative_absolute_error: 1.0322, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.4497, scimark_benchmark: 899.0775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4076, f_measure: 0.6321, kappa: 0.0725, kb_relative_information_score: -12.3209, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.6283, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.1024, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.401, root_relative_squared_error: 1.0681, scimark_benchmark: 944.6488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4018, f_measure: 0.61, kappa: 0.0331, kb_relative_information_score: -2.4971, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.6424, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3994, root_relative_squared_error: 1.0638, scimark_benchmark: 933.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5528, kappa: -0.1088, kb_relative_information_score: -2.5581, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5164, predictive_accuracy: 0.6, prior_entropy: 1.0305, recall: 0.6, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.3348, scimark_benchmark: 929.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4429, f_measure: 0.5181, kappa: -0.2103, kb_relative_information_score: -5.3944, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4772, predictive_accuracy: 0.5667, prior_entropy: 1.0305, recall: 0.5667, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.3223, scimark_benchmark: 942.5679,

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