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OpenML
OpenML
Supervised Classification on arrhythmia

Supervised Classification on arrhythmia

Task 5 Supervised Classification arrhythmia 3391 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • basic study_1 study_41 study_73 under100k under1m
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3391 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.6605, kappa: 0.5126, kb_relative_information_score: 107.3051, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6341, predictive_accuracy: 0.6947, prior_entropy: 2.5222, recall: 0.6947, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9045, scimark_benchmark: 924.4415,
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: 0.6901, f_measure: 0.4755, kappa: 0.1868, kb_relative_information_score: -48.6419, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4485, predictive_accuracy: 0.5509, prior_entropy: 2.5222, recall: 0.5509, relative_absolute_error: 1.335, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.236, root_relative_squared_error: 1.1487, scimark_benchmark: 936.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.5298, kappa: 0.2865, kb_relative_information_score: -18.5135, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5479, predictive_accuracy: 0.604, prior_entropy: 2.5222, recall: 0.604, relative_absolute_error: 1.236, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2235, root_relative_squared_error: 1.0878, scimark_benchmark: 944.0824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.5269, kappa: 0.2946, kb_relative_information_score: 152.6114, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5025, predictive_accuracy: 0.5642, prior_entropy: 2.5222, recall: 0.5642, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2098, root_relative_squared_error: 1.0211, scimark_benchmark: 923.2841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.5447, kappa: 0.3119, kb_relative_information_score: 144.5717, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5498, predictive_accuracy: 0.5487, prior_entropy: 2.5222, recall: 0.5487, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2373, root_relative_squared_error: 1.1546, scimark_benchmark: 926.1666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.6682, kappa: 0.5005, kb_relative_information_score: 216.0345, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6648, predictive_accuracy: 0.6881, prior_entropy: 2.5222, recall: 0.6881, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.197, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.6589, kappa: 0.4992, kb_relative_information_score: -3.4158, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6697, predictive_accuracy: 0.7058, prior_entropy: 2.5222, recall: 0.7058, relative_absolute_error: 1.2838, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.23, root_relative_squared_error: 1.1193, scimark_benchmark: 926.3325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.5476, kappa: 0.2972, kb_relative_information_score: 156.5324, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5887, predictive_accuracy: 0.6327, prior_entropy: 2.5222, recall: 0.6327, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2132, root_relative_squared_error: 1.0376, scimark_benchmark: 927.8123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.6972, kappa: 0.5644, kb_relative_information_score: 176.2654, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6868, predictive_accuracy: 0.7301, prior_entropy: 2.5222, recall: 0.7301, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.8109, scimark_benchmark: 913.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4755, kappa: 0.1868, kb_relative_information_score: -48.6419, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4485, predictive_accuracy: 0.5509, prior_entropy: 2.5222, recall: 0.5509, relative_absolute_error: 1.335, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.236, root_relative_squared_error: 1.1487, scimark_benchmark: 912.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.6505, kappa: 0.4914, kb_relative_information_score: 125.6406, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6507, predictive_accuracy: 0.6549, prior_entropy: 2.5222, recall: 0.6549, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.9228, scimark_benchmark: 945.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.5053, kappa: 0.2468, kb_relative_information_score: 122.5407, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5076, predictive_accuracy: 0.5332, prior_entropy: 2.5222, recall: 0.5332, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2371, root_relative_squared_error: 1.1539, scimark_benchmark: 941.5082,
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: 0.6903, f_measure: 0.486, kappa: 0.2084, kb_relative_information_score: 135.7478, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4856, predictive_accuracy: 0.5243, prior_entropy: 2.5222, recall: 0.5243, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2085, root_relative_squared_error: 1.0147, scimark_benchmark: 948.7401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.6496, kappa: 0.4786, kb_relative_information_score: 210.3692, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6573, predictive_accuracy: 0.6903, prior_entropy: 2.5222, recall: 0.6903, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.8039, scimark_benchmark: 946.9465,
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: 0.7401, f_measure: 0.6392, kappa: 0.4761, kb_relative_information_score: 196.197, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6257, predictive_accuracy: 0.6549, prior_entropy: 2.5222, recall: 0.6549, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.9498, scimark_benchmark: 930.2519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7205, kappa: 0.61, kb_relative_information_score: 223.9663, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6971, predictive_accuracy: 0.7589, prior_entropy: 2.5222, recall: 0.7589, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.155, root_relative_squared_error: 0.7542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4755, kappa: 0.1868, kb_relative_information_score: -48.6419, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4485, predictive_accuracy: 0.5509, prior_entropy: 2.5222, recall: 0.5509, relative_absolute_error: 1.335, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.236, root_relative_squared_error: 1.1487, scimark_benchmark: 944.5769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.42, kappa: 0.0796, kb_relative_information_score: 102.5612, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.391, predictive_accuracy: 0.5619, prior_entropy: 2.5222, recall: 0.5619, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.9162, scimark_benchmark: 934.3717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.6701, kappa: 0.519, kb_relative_information_score: 230.5844, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6494, predictive_accuracy: 0.7013, prior_entropy: 2.5222, recall: 0.7013, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.8519, scimark_benchmark: 935.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.5015, kappa: 0.234, kb_relative_information_score: 137.223, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5059, predictive_accuracy: 0.5398, prior_entropy: 2.5222, recall: 0.5398, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2079, root_relative_squared_error: 1.0116, scimark_benchmark: 941.4743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.4406, kappa: 0.1856, kb_relative_information_score: -31.9833, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3814, predictive_accuracy: 0.5531, prior_entropy: 2.5222, recall: 0.5531, relative_absolute_error: 1.2618, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2309, root_relative_squared_error: 1.1235, scimark_benchmark: 907.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.5486, kappa: 0.3328, kb_relative_information_score: 149.2938, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5507, predictive_accuracy: 0.5487, prior_entropy: 2.5222, recall: 0.5487, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2355, root_relative_squared_error: 1.1459, scimark_benchmark: 924.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.6546, kappa: 0.4954, kb_relative_information_score: 218.2916, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6399, predictive_accuracy: 0.677, prior_entropy: 2.5222, recall: 0.677, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.8994,
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: 0.8127, f_measure: 0.7141, kappa: 0.5974, kb_relative_information_score: 249.3197, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6906, predictive_accuracy: 0.7434, prior_entropy: 2.5222, recall: 0.7434, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.8682, scimark_benchmark: 946.5925,
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: 0.8625, f_measure: 0.6714, kappa: 0.5236, kb_relative_information_score: 231.0778, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6664, predictive_accuracy: 0.708, prior_entropy: 2.5222, recall: 0.708, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.8017, scimark_benchmark: 945.4349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.6928, kappa: 0.549, kb_relative_information_score: 233.9036, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6843, predictive_accuracy: 0.708, prior_entropy: 2.5222, recall: 0.708, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.9284, scimark_benchmark: 942.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.6736, kappa: 0.5285, kb_relative_information_score: 231.5406, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6688, predictive_accuracy: 0.7124, prior_entropy: 2.5222, recall: 0.7124, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.8016, scimark_benchmark: 945.2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.7175, kappa: 0.5946, kb_relative_information_score: 255.2266, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.7041, predictive_accuracy: 0.7456, prior_entropy: 2.5222, recall: 0.7456, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.7488, scimark_benchmark: 943.3534,
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: 0.7172, f_measure: 0.5298, kappa: 0.2865, kb_relative_information_score: -18.5135, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5479, predictive_accuracy: 0.604, prior_entropy: 2.5222, recall: 0.604, relative_absolute_error: 1.236, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2235, root_relative_squared_error: 1.0878, scimark_benchmark: 945.1622,
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: 0.8923, f_measure: 0.7192, kappa: 0.596, kb_relative_information_score: 255.4597, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.707, predictive_accuracy: 0.7456, prior_entropy: 2.5222, recall: 0.7456, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.7488, scimark_benchmark: 936.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.6297, kappa: 0.453, kb_relative_information_score: 183.7918, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6471, predictive_accuracy: 0.6239, prior_entropy: 2.5222, recall: 0.6239, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2064, root_relative_squared_error: 1.0046, scimark_benchmark: 943.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.6697, kappa: 0.5046, kb_relative_information_score: 217.6222, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6651, predictive_accuracy: 0.6881, prior_entropy: 2.5222, recall: 0.6881, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.9547, scimark_benchmark: 936.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.6648, kappa: 0.513, kb_relative_information_score: -3.1854, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6831, predictive_accuracy: 0.7146, prior_entropy: 2.5222, recall: 0.7146, relative_absolute_error: 1.2834, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2299, root_relative_squared_error: 1.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.5655, kappa: 0.3317, kb_relative_information_score: 168.217, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5758, predictive_accuracy: 0.6416, prior_entropy: 2.5222, recall: 0.6416, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2094, root_relative_squared_error: 1.0189, scimark_benchmark: 940.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.6991, kappa: 0.5585, kb_relative_information_score: 242.4359, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6904, predictive_accuracy: 0.7146, prior_entropy: 2.5222, recall: 0.7146, relative_absolute_error: 0.4157, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.8969, scimark_benchmark: 933.1822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.3843, kappa: 0.0057, kb_relative_information_score: 72.1168, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3224, predictive_accuracy: 0.5376, prior_entropy: 2.5222, recall: 0.5376, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.9485, scimark_benchmark: 938.5247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.5053, kappa: 0.2468, kb_relative_information_score: 122.5407, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5076, predictive_accuracy: 0.5332, prior_entropy: 2.5222, recall: 0.5332, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2371, root_relative_squared_error: 1.1539, scimark_benchmark: 938.2726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.6568, kappa: 0.5059, kb_relative_information_score: 132.642, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6329, predictive_accuracy: 0.6947, prior_entropy: 2.5222, recall: 0.6947, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.8831, scimark_benchmark: 932.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7035, kappa: 0.5736, kb_relative_information_score: 248.5969, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6847, predictive_accuracy: 0.7345, prior_entropy: 2.5222, recall: 0.7345, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.6525, kappa: 0.4937, kb_relative_information_score: 124.1518, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6526, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.9126, scimark_benchmark: 943.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.6877, kappa: 0.5473, kb_relative_information_score: 238.2753, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6738, predictive_accuracy: 0.708, prior_entropy: 2.5222, recall: 0.708, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.8836, scimark_benchmark: 944.2078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7123, kappa: 0.5909, kb_relative_information_score: 251.9509, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6933, predictive_accuracy: 0.7456, prior_entropy: 2.5222, recall: 0.7456, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.175, root_relative_squared_error: 0.8517, scimark_benchmark: 946.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.5053, kappa: 0.2468, kb_relative_information_score: 122.5407, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5076, predictive_accuracy: 0.5332, prior_entropy: 2.5222, recall: 0.5332, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2371, root_relative_squared_error: 1.1539, scimark_benchmark: 941.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.4011, kappa: 0.0458, kb_relative_information_score: 62.4008, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3267, predictive_accuracy: 0.5442, prior_entropy: 2.5222, recall: 0.5442, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.9551, scimark_benchmark: 943.2429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.6975, kappa: 0.5542, kb_relative_information_score: 237.5262, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6895, predictive_accuracy: 0.7146, prior_entropy: 2.5222, recall: 0.7146, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.188, root_relative_squared_error: 0.9148, scimark_benchmark: 907.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.4675, kappa: 0.2148, kb_relative_information_score: 85.3417, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4132, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.9555, scimark_benchmark: 944.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.4406, kappa: 0.1856, kb_relative_information_score: -31.9833, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3814, predictive_accuracy: 0.5531, prior_entropy: 2.5222, recall: 0.5531, relative_absolute_error: 1.2618, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2309, root_relative_squared_error: 1.1235, scimark_benchmark: 939.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.6525, kappa: 0.4937, kb_relative_information_score: 124.1518, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6526, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.9126, scimark_benchmark: 944.6412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7018, kappa: 0.5581, kb_relative_information_score: 236.8459, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6984, predictive_accuracy: 0.7146, prior_entropy: 2.5222, recall: 0.7146, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.9194, scimark_benchmark: 945.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.6809, kappa: 0.535, kb_relative_information_score: 225.0419, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6637, predictive_accuracy: 0.7102, prior_entropy: 2.5222, recall: 0.7102, relative_absolute_error: 0.5757, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.79, scimark_benchmark: 913.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.3843, kappa: 0.0057, kb_relative_information_score: 72.1168, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3224, predictive_accuracy: 0.5376, prior_entropy: 2.5222, recall: 0.5376, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.9485, scimark_benchmark: 904.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.5657, kappa: 0.3413, kb_relative_information_score: 164.1774, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.565, predictive_accuracy: 0.6504, prior_entropy: 2.5222, recall: 0.6504, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.8388, scimark_benchmark: 947.8075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.5298, kappa: 0.2865, kb_relative_information_score: -18.5135, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5479, predictive_accuracy: 0.604, prior_entropy: 2.5222, recall: 0.604, relative_absolute_error: 1.236, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2235, root_relative_squared_error: 1.0878, scimark_benchmark: 945.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.5914, kappa: 0.3884, kb_relative_information_score: 166.6823, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5918, predictive_accuracy: 0.6637, prior_entropy: 2.5222, recall: 0.6637, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.8532, scimark_benchmark: 943.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.515, f_measure: 0.3855, kappa: 0.0271, kb_relative_information_score: 69.7022, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3149, predictive_accuracy: 0.4978, prior_entropy: 2.5222, recall: 0.4978, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2506, root_relative_squared_error: 1.2192, scimark_benchmark: 944.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.5458, kappa: 0.3132, kb_relative_information_score: 145.1418, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5521, predictive_accuracy: 0.5487, prior_entropy: 2.5222, recall: 0.5487, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2372, root_relative_squared_error: 1.1543, scimark_benchmark: 943.7482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.7293, kappa: 0.6253, kb_relative_information_score: 240.6372, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.7128, predictive_accuracy: 0.7611, prior_entropy: 2.5222, recall: 0.7611, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.7387, scimark_benchmark: 938.8922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.6624, kappa: 0.5076, kb_relative_information_score: -3.1319, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6823, predictive_accuracy: 0.7124, prior_entropy: 2.5222, recall: 0.7124, relative_absolute_error: 1.2835, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2299, root_relative_squared_error: 1.1189, scimark_benchmark: 945.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7045, kappa: 0.5828, kb_relative_information_score: 224.7152, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6802, predictive_accuracy: 0.7434, prior_entropy: 2.5222, recall: 0.7434, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.7665, scimark_benchmark: 946.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.627, kappa: 0.4506, kb_relative_information_score: 128.8392, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.61, predictive_accuracy: 0.6681, prior_entropy: 2.5222, recall: 0.6681, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.8796, scimark_benchmark: 946.4631,
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: 0.7172, f_measure: 0.5298, kappa: 0.2865, kb_relative_information_score: -18.5135, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5479, predictive_accuracy: 0.604, prior_entropy: 2.5222, recall: 0.604, relative_absolute_error: 1.236, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2235, root_relative_squared_error: 1.0878, scimark_benchmark: 945.3043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.6224, kappa: 0.4386, kb_relative_information_score: 161.5032, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6082, predictive_accuracy: 0.6504, prior_entropy: 2.5222, recall: 0.6504, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.958, scimark_benchmark: 940.3992,
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: 0.8974, f_measure: 0.7368, kappa: 0.6385, kb_relative_information_score: 240.5325, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.7311, predictive_accuracy: 0.7699, prior_entropy: 2.5222, recall: 0.7699, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.7375, scimark_benchmark: 943.4696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.658, kappa: 0.4953, kb_relative_information_score: 214.0177, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6443, predictive_accuracy: 0.6903, prior_entropy: 2.5222, recall: 0.6903, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.8214, scimark_benchmark: 946.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.4772, kappa: 0.1759, kb_relative_information_score: 134.7535, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5075, predictive_accuracy: 0.5929, prior_entropy: 2.5222, recall: 0.5929, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.9694, scimark_benchmark: 946.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.3811, kb_relative_information_score: -25.5579, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.2955, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2323, root_relative_squared_error: 1.1304, scimark_benchmark: 949.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.4406, kappa: 0.1856, kb_relative_information_score: -31.9833, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3814, predictive_accuracy: 0.5531, prior_entropy: 2.5222, recall: 0.5531, relative_absolute_error: 1.2618, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2309, root_relative_squared_error: 1.1235, scimark_benchmark: 934.2267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.5884, kappa: 0.3777, kb_relative_information_score: 165.8692, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6023, predictive_accuracy: 0.6549, prior_entropy: 2.5222, recall: 0.6549, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8746, scimark_benchmark: 946.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.6987, kappa: 0.5764, kb_relative_information_score: 211.5362, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6842, predictive_accuracy: 0.7389, prior_entropy: 2.5222, recall: 0.7389, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.7645, scimark_benchmark: 950.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.6639, kappa: 0.5298, kb_relative_information_score: 198.2433, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6401, predictive_accuracy: 0.6991, prior_entropy: 2.5222, recall: 0.6991, relative_absolute_error: 0.6127, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8491, scimark_benchmark: 910.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.6267, kappa: 0.4528, kb_relative_information_score: 195.8955, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.63, predictive_accuracy: 0.6305, prior_entropy: 2.5222, recall: 0.6305, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2124, root_relative_squared_error: 1.0335, scimark_benchmark: 941.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.6439, kappa: 0.488, kb_relative_information_score: 195.8895, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6189, predictive_accuracy: 0.6748, prior_entropy: 2.5222, recall: 0.6748, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.8864, scimark_benchmark: 946.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.5082, kappa: 0.2344, kb_relative_information_score: -12.7117, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5175, predictive_accuracy: 0.615, prior_entropy: 2.5222, recall: 0.615, relative_absolute_error: 1.2887, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.231, root_relative_squared_error: 1.1242, scimark_benchmark: 949.4872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.708, kappa: 0.577, kb_relative_information_score: 243.4496, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6914, predictive_accuracy: 0.7345, prior_entropy: 2.5222, recall: 0.7345, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.777, scimark_benchmark: 948.7879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.6581, kappa: 0.5164, kb_relative_information_score: 201.5049, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.633, predictive_accuracy: 0.6925, prior_entropy: 2.5222, recall: 0.6925, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.175, root_relative_squared_error: 0.8517, scimark_benchmark: 909.4735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5543, f_measure: 0.3965, kappa: 0.0195, kb_relative_information_score: -21.9489, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4165, predictive_accuracy: 0.5442, prior_entropy: 2.5222, recall: 0.5442, relative_absolute_error: 1.2936, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2319, root_relative_squared_error: 1.1286, scimark_benchmark: 911.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.4759, kappa: 0.1672, kb_relative_information_score: 136.8435, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5173, predictive_accuracy: 0.5885, prior_entropy: 2.5222, recall: 0.5885, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.9705, scimark_benchmark: 947.0523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6154, kappa: 0.4378, kb_relative_information_score: 181.5205, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6001, predictive_accuracy: 0.6327, prior_entropy: 2.5222, recall: 0.6327, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.9936, scimark_benchmark: 947.2161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4911, f_measure: 0.3811, kb_relative_information_score: -25.7224, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.2955, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2323, root_relative_squared_error: 1.1304, scimark_benchmark: 946.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.4914, kappa: 0.2146, kb_relative_information_score: 140.3612, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5013, predictive_accuracy: 0.5973, prior_entropy: 2.5222, recall: 0.5973, relative_absolute_error: 0.7313, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.9901, scimark_benchmark: 947.6894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.6678, kappa: 0.5076, kb_relative_information_score: -1.6264, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6603, predictive_accuracy: 0.6881, prior_entropy: 2.5222, recall: 0.6881, relative_absolute_error: 1.2842, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2302, root_relative_squared_error: 1.12, scimark_benchmark: 947.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.4606, kappa: 0.1439, kb_relative_information_score: 135.6052, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5083, predictive_accuracy: 0.5863, prior_entropy: 2.5222, recall: 0.5863, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.9579, scimark_benchmark: 946.1961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.3811, kb_relative_information_score: -25.2521, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.2954, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2323, root_relative_squared_error: 1.1303, scimark_benchmark: 944.2152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.3811, kb_relative_information_score: -25.8267, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.2956, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2323, root_relative_squared_error: 1.1304, scimark_benchmark: 947.8941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3811, kb_relative_information_score: -25.3493, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.2954, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2323, root_relative_squared_error: 1.1303, scimark_benchmark: 948.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6412, kappa: 0.4769, kb_relative_information_score: 208.1862, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6247, predictive_accuracy: 0.6615, prior_entropy: 2.5222, recall: 0.6615, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.8933, scimark_benchmark: 945.2908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.5172, kappa: 0.283, kb_relative_information_score: 127.1049, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5178, predictive_accuracy: 0.5177, prior_entropy: 2.5222, recall: 0.5177, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2455, root_relative_squared_error: 1.1946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.4406, kappa: 0.1856, kb_relative_information_score: -31.9833, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3814, predictive_accuracy: 0.5531, prior_entropy: 2.5222, recall: 0.5531, relative_absolute_error: 1.2618, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2309, root_relative_squared_error: 1.1235, scimark_benchmark: 938.1569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.5746, kappa: 0.3673, kb_relative_information_score: -9.2711, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5553, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 1.2868, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2307, root_relative_squared_error: 1.1225, scimark_benchmark: 948.5185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.5413, kappa: 0.2978, kb_relative_information_score: 157.0701, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5719, predictive_accuracy: 0.6062, prior_entropy: 2.5222, recall: 0.6062, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.9509, scimark_benchmark: 942.1009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.6154, kappa: 0.438, kb_relative_information_score: 184.9536, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6018, predictive_accuracy: 0.6305, prior_entropy: 2.5222, recall: 0.6305, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.9962, scimark_benchmark: 910.1065,

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