Task
Supervised Classification on ionosphere

Supervised Classification on ionosphere

Task 57 Supervised Classification ionosphere 1206 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 study_73 under100k under1m
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1206 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8937, kappa: 0.7648, kb_relative_information_score: 262.8821, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9058, predictive_accuracy: 0.8974, prior_entropy: 0.9425, recall: 0.8974, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5686, scimark_benchmark: 944.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9194, kappa: 0.8236, kb_relative_information_score: 251.8148, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9203, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.3054, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5262, scimark_benchmark: 941.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9282, kappa: 0.8428, kb_relative_information_score: 291.8676, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9289, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5586, scimark_benchmark: 921.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 239.4398, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7765, scimark_benchmark: 913.8884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7678, kappa: 0.4882, kb_relative_information_score: 133.7448, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8281, predictive_accuracy: 0.792, prior_entropy: 0.9425, recall: 0.792, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8365, scimark_benchmark: 933.96,
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: 0.8644, f_measure: 0.8482, kappa: 0.6652, kb_relative_information_score: 202.1932, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8522, predictive_accuracy: 0.8519, prior_entropy: 0.9425, recall: 0.8519, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7015, scimark_benchmark: 946.3546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9423, kappa: 0.8735, kb_relative_information_score: 307.7743, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9441, predictive_accuracy: 0.943, prior_entropy: 0.9425, recall: 0.943, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.48, scimark_benchmark: 937.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9249, kappa: 0.835, kb_relative_information_score: 251.6793, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9271, predictive_accuracy: 0.9259, prior_entropy: 0.9425, recall: 0.9259, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5193, scimark_benchmark: 945.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.9071, kappa: 0.7955, kb_relative_information_score: 258.5653, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9108, predictive_accuracy: 0.9088, prior_entropy: 0.9425, recall: 0.9088, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5711, scimark_benchmark: 944.1441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8474, kappa: 0.6628, kb_relative_information_score: 207.7369, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8537, predictive_accuracy: 0.8519, prior_entropy: 0.9425, recall: 0.8519, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.681, scimark_benchmark: 945.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9133, kappa: 0.8096, kb_relative_information_score: 254.359, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9154, predictive_accuracy: 0.9145, prior_entropy: 0.9425, recall: 0.9145, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5357, scimark_benchmark: 929.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9336, kappa: 0.8543, kb_relative_information_score: 299.0618, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9356, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5336, scimark_benchmark: 891.2777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8451, kappa: 0.6582, kb_relative_information_score: 208.0603, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8495, predictive_accuracy: 0.849, prior_entropy: 0.9425, recall: 0.849, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6979, scimark_benchmark: 901.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9135, kappa: 0.8103, kb_relative_information_score: 283.7679, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9149, predictive_accuracy: 0.9145, prior_entropy: 0.9425, recall: 0.9145, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5891, scimark_benchmark: 936.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9152, kappa: 0.813, kb_relative_information_score: 285.3092, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9223, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5854, scimark_benchmark: 940.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.8044, kappa: 0.5669, kb_relative_information_score: 151.5062, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.848, predictive_accuracy: 0.8205, prior_entropy: 0.9425, recall: 0.8205, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7889, scimark_benchmark: 904.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9118, kappa: 0.8084, kb_relative_information_score: 275.0938, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9118, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5995, scimark_benchmark: 942.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.8482, kappa: 0.6637, kb_relative_information_score: 235.6653, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8624, predictive_accuracy: 0.8547, prior_entropy: 0.9425, recall: 0.8547, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7934, scimark_benchmark: 929.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 239.4398, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7765, scimark_benchmark: 935.5922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9333, kappa: 0.8533, kb_relative_information_score: 297.5408, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9371, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5245, scimark_benchmark: 921.6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8844, kappa: 0.7462, kb_relative_information_score: 259.757, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8859, predictive_accuracy: 0.886, prior_entropy: 0.9425, recall: 0.886, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7026, scimark_benchmark: 933.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9165, kappa: 0.817, kb_relative_information_score: 258.767, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9176, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5126, scimark_benchmark: 930.7502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8945, kappa: 0.7706, kb_relative_information_score: 245.0881, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8944, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6367, scimark_benchmark: 939.7856,
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: 0.9522, f_measure: 0.8849, kappa: 0.748, kb_relative_information_score: 246.9301, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8854, predictive_accuracy: 0.886, prior_entropy: 0.9425, recall: 0.886, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.5872, scimark_benchmark: 945.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8879, kappa: 0.7547, kb_relative_information_score: 224.2769, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8882, predictive_accuracy: 0.8889, prior_entropy: 0.9425, recall: 0.8889, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6006, scimark_benchmark: 938.0899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8176, kappa: 0.596, kb_relative_information_score: 183.6232, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8594, predictive_accuracy: 0.8319, prior_entropy: 0.9425, recall: 0.8319, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7204, scimark_benchmark: 930.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8736, kappa: 0.7206, kb_relative_information_score: 248.4158, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.882, predictive_accuracy: 0.8775, prior_entropy: 0.9425, recall: 0.8775, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6809, scimark_benchmark: 945.1801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8736, kappa: 0.7206, kb_relative_information_score: 254.3095, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.882, predictive_accuracy: 0.8775, prior_entropy: 0.9425, recall: 0.8775, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.342, root_relative_squared_error: 0.713, scimark_benchmark: 927.3534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9364, kappa: 0.8604, kb_relative_information_score: 301.4864, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9389, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.5161, scimark_benchmark: 935.7901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8149, kappa: 0.5899, kb_relative_information_score: 180.9846, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8541, predictive_accuracy: 0.8291, prior_entropy: 0.9425, recall: 0.8291, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7165, scimark_benchmark: 946.4987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9113, kappa: 0.8064, kb_relative_information_score: 251.8998, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9113, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5554, scimark_benchmark: 943.0525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9278, kappa: 0.8416, kb_relative_information_score: 294.5169, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9298, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5536, scimark_benchmark: 942.8518,
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: 0.805, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 239.4398, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7765, scimark_benchmark: 921.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9367, kappa: 0.8614, kb_relative_information_score: 253.5261, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9378, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4979, scimark_benchmark: 891.6819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.931, kappa: 0.8488, kb_relative_information_score: 298.0378, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.932, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5211, scimark_benchmark: 906.0848,
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: 0.9583, f_measure: 0.9249, kappa: 0.835, kb_relative_information_score: 289.8478, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9271, predictive_accuracy: 0.9259, prior_entropy: 0.9425, recall: 0.9259, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5563, scimark_benchmark: 942.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8921, kappa: 0.7664, kb_relative_information_score: 258.453, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8927, predictive_accuracy: 0.8917, prior_entropy: 0.9425, recall: 0.8917, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6473, scimark_benchmark: 533.4768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.9099, kappa: 0.8015, kb_relative_information_score: 276.6519, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9142, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5791, scimark_benchmark: 937.6889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9155, kappa: 0.8136, kb_relative_information_score: 272.2197, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9212, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4978, scimark_benchmark: 940.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9336, kappa: 0.8543, kb_relative_information_score: 299.9173, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9356, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5251, scimark_benchmark: 576.5204,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8987, kappa: 0.7775, kb_relative_information_score: 256.8948, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9009, predictive_accuracy: 0.9003, prior_entropy: 0.9425, recall: 0.9003, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6342, scimark_benchmark: 924.3459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8904, kappa: 0.7597, kb_relative_information_score: 258.0173, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8914, predictive_accuracy: 0.8917, prior_entropy: 0.9425, recall: 0.8917, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6619, scimark_benchmark: 924.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9425, kappa: 0.874, kb_relative_information_score: 264.5989, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9436, predictive_accuracy: 0.943, prior_entropy: 0.9425, recall: 0.943, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4709, scimark_benchmark: 949.6077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8753, kappa: 0.7257, kb_relative_information_score: 254.1134, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8777, predictive_accuracy: 0.8775, prior_entropy: 0.9425, recall: 0.8775, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7296, scimark_benchmark: 942.8677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.899, kappa: 0.7783, kb_relative_information_score: 265.725, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9004, predictive_accuracy: 0.9003, prior_entropy: 0.9425, recall: 0.9003, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8932, kappa: 0.7656, kb_relative_information_score: 260.9592, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6555, scimark_benchmark: 938.3669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8455, kappa: 0.6574, kb_relative_information_score: 232.8054, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8727, predictive_accuracy: 0.8547, prior_entropy: 0.9425, recall: 0.8547, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7925, scimark_benchmark: 940.1887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.893, kappa: 0.7648, kb_relative_information_score: 240.0444, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.895, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6143, scimark_benchmark: 926.2855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8814, kappa: 0.7394, kb_relative_information_score: 229.2652, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8832, predictive_accuracy: 0.8832, prior_entropy: 0.9425, recall: 0.8832, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6458, scimark_benchmark: 948.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8971, kappa: 0.7756, kb_relative_information_score: 233.2982, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8969, predictive_accuracy: 0.8974, prior_entropy: 0.9425, recall: 0.8974, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6201, scimark_benchmark: 914.402,

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