Task
Supervised Classification on abalone

Supervised Classification on abalone

Task 2121 Supervised Classification abalone 303 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.216, kappa: 0.1566, kb_relative_information_score: 296.8438, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2029, predictive_accuracy: 0.262, prior_entropy: 3.6268, recall: 0.262, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.9824, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.2371, kappa: 0.164, kb_relative_information_score: 312.9357, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.221, predictive_accuracy: 0.2707, prior_entropy: 3.6268, recall: 0.2707, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.9586, scimark_benchmark: 851.2074, usercpu_time_millis: 4260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.2426, kappa: 0.1534, kb_relative_information_score: 345.589, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2425, predictive_accuracy: 0.2547, prior_entropy: 3.6268, recall: 0.2547, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.9784, scimark_benchmark: 941.6675, usercpu_time_millis: 630, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.24, kappa: 0.1516, kb_relative_information_score: 342.4383, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2376, predictive_accuracy: 0.2518, prior_entropy: 3.6268, recall: 0.2518, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9803, scimark_benchmark: 931.771, usercpu_time_millis: 3950, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.1781, kappa: 0.1096, kb_relative_information_score: 218.4562, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1621, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2293, root_relative_squared_error: 1.3054, scimark_benchmark: 974.2014, usercpu_time_millis: 9910, usercpu_time_millis_testing: 5080, usercpu_time_millis_training: 4830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.2188, kappa: 0.1649, kb_relative_information_score: 339.3817, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2214, predictive_accuracy: 0.2634, prior_entropy: 3.6268, recall: 0.2634, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1828, root_relative_squared_error: 1.0406, scimark_benchmark: 936.3373, usercpu_time_millis: 1850, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.24, kappa: 0.1516, kb_relative_information_score: 342.4383, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2376, predictive_accuracy: 0.2518, prior_entropy: 3.6268, recall: 0.2518, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9803, scimark_benchmark: 943.1009, usercpu_time_millis: 4110, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 3610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.216, kappa: 0.1566, kb_relative_information_score: 296.8438, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2029, predictive_accuracy: 0.262, prior_entropy: 3.6268, recall: 0.262, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.9824, scimark_benchmark: 819.5729, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.2371, kappa: 0.164, kb_relative_information_score: 312.9357, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.221, predictive_accuracy: 0.2707, prior_entropy: 3.6268, recall: 0.2707, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.9586, scimark_benchmark: 944.0133, usercpu_time_millis: 3790, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.1781, kappa: 0.1096, kb_relative_information_score: 218.4562, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1621, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2293, root_relative_squared_error: 1.3054, scimark_benchmark: 927.2882, usercpu_time_millis: 5250, usercpu_time_millis_testing: 2680, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.1781, kappa: 0.1096, kb_relative_information_score: 218.4562, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1621, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2293, root_relative_squared_error: 1.3054, scimark_benchmark: 930.404, usercpu_time_millis: 5500, usercpu_time_millis_testing: 2370, usercpu_time_millis_training: 3130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 903.2737, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.2426, kappa: 0.1534, kb_relative_information_score: 345.589, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2425, predictive_accuracy: 0.2547, prior_entropy: 3.6268, recall: 0.2547, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.9784, scimark_benchmark: 941.4991, usercpu_time_millis: 600, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 936.9595, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.2188, kappa: 0.1649, kb_relative_information_score: 339.3817, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2214, predictive_accuracy: 0.2634, prior_entropy: 3.6268, recall: 0.2634, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1828, root_relative_squared_error: 1.0406, scimark_benchmark: 936.3213, usercpu_time_millis: 1660, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.24, kappa: 0.1516, kb_relative_information_score: 342.4383, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2376, predictive_accuracy: 0.2518, prior_entropy: 3.6268, recall: 0.2518, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9803, scimark_benchmark: 945.6228, usercpu_time_millis: 4500, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 3760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.2266, kappa: 0.1333, kb_relative_information_score: 349.326, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2295, predictive_accuracy: 0.238, prior_entropy: 3.6268, recall: 0.238, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.971, scimark_benchmark: 937.5683, usercpu_time_millis: 86990, usercpu_time_millis_testing: 11330, usercpu_time_millis_training: 75660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.2416, kappa: 0.1529, kb_relative_information_score: 349.9975, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2395, predictive_accuracy: 0.2547, prior_entropy: 3.6268, recall: 0.2547, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.9702, scimark_benchmark: 931.9419, usercpu_time_millis: 44400, usercpu_time_millis_testing: 4270, usercpu_time_millis_training: 40130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.2243, kappa: 0.1321, kb_relative_information_score: 347.0683, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2214, predictive_accuracy: 0.2366, prior_entropy: 3.6268, recall: 0.2366, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.9772, scimark_benchmark: 939.7883, usercpu_time_millis: 22840, usercpu_time_millis_testing: 1820, usercpu_time_millis_training: 21020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.2295, kappa: 0.1373, kb_relative_information_score: 342.4364, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2289, predictive_accuracy: 0.2402, prior_entropy: 3.6268, recall: 0.2402, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.9838, scimark_benchmark: 939.0589, usercpu_time_millis: 12090, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 11200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.2335, kappa: 0.144, kb_relative_information_score: 340.1308, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2304, predictive_accuracy: 0.2453, prior_entropy: 3.6268, recall: 0.2453, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.9938, scimark_benchmark: 889.4922, usercpu_time_millis: 8140, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 7600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.176, kappa: 0.1432, kb_relative_information_score: 239.5237, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1817, predictive_accuracy: 0.2431, prior_entropy: 3.6268, recall: 0.2431, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.9827, scimark_benchmark: 929.0296, usercpu_time_millis: 2500, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.0849, kappa: 0.0896, kb_relative_information_score: 190.604, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.0535, predictive_accuracy: 0.2112, prior_entropy: 3.6268, recall: 0.2112, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9821, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.0849, kappa: 0.0896, kb_relative_information_score: 190.604, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.0535, predictive_accuracy: 0.2112, prior_entropy: 3.6268, recall: 0.2112, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9821, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.0849, kappa: 0.0896, kb_relative_information_score: 190.604, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.0535, predictive_accuracy: 0.2112, prior_entropy: 3.6268, recall: 0.2112, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9821, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.0849, kappa: 0.0896, kb_relative_information_score: 190.604, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.0535, predictive_accuracy: 0.2112, prior_entropy: 3.6268, recall: 0.2112, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9821, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.0849, kappa: 0.0896, kb_relative_information_score: 190.604, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.0535, predictive_accuracy: 0.2112, prior_entropy: 3.6268, recall: 0.2112, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9821, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0477, kb_relative_information_score: 120.5636, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.0279, predictive_accuracy: 0.1669, prior_entropy: 3.6268, recall: 0.1669, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2397, root_relative_squared_error: 1.3643, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.2354, kappa: 0.1565, kb_relative_information_score: 282.4933, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2378, predictive_accuracy: 0.2671, prior_entropy: 3.6268, recall: 0.2671, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.9579, scimark_benchmark: 941.9549, usercpu_time_millis: 4660, usercpu_time_millis_testing: 2200, usercpu_time_millis_training: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.2276, kappa: 0.1331, kb_relative_information_score: 323.6306, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.229, predictive_accuracy: 0.2329, prior_entropy: 3.6268, recall: 0.2329, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1773, root_relative_squared_error: 1.0093, scimark_benchmark: 911.442, usercpu_time_millis: 22610, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 22090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.1089, kappa: 0.0958, kb_relative_information_score: 186.7727, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1355, predictive_accuracy: 0.2177, prior_entropy: 3.6268, recall: 0.2177, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9804, scimark_benchmark: 931.7994, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.216, kappa: 0.1566, kb_relative_information_score: 296.8438, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2029, predictive_accuracy: 0.262, prior_entropy: 3.6268, recall: 0.262, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.9824, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.2371, kappa: 0.164, kb_relative_information_score: 312.9357, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.221, predictive_accuracy: 0.2707, prior_entropy: 3.6268, recall: 0.2707, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.9586, scimark_benchmark: 941.6062, usercpu_time_millis: 3170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 1347.1763, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 1316.5668, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.2426, kappa: 0.1534, kb_relative_information_score: 345.589, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2425, predictive_accuracy: 0.2547, prior_entropy: 3.6268, recall: 0.2547, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.9784, scimark_benchmark: 1318.4315, usercpu_time_millis: 550, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 1332.1612, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.216, kappa: 0.1566, kb_relative_information_score: 296.8438, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2029, predictive_accuracy: 0.262, prior_entropy: 3.6268, recall: 0.262, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.9824, scimark_benchmark: 1345.6844, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.2224, kappa: 0.135, kb_relative_information_score: 294.7105, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2196, predictive_accuracy: 0.2279, prior_entropy: 3.6268, recall: 0.2279, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2034, root_relative_squared_error: 1.1579, scimark_benchmark: 1307.9497, usercpu_time_millis: 15210, usercpu_time_millis_testing: 4840, usercpu_time_millis_training: 10370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.1781, kappa: 0.1096, kb_relative_information_score: 218.4562, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1621, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2293, root_relative_squared_error: 1.3054, scimark_benchmark: 1345.6844, usercpu_time_millis: 8360, usercpu_time_millis_testing: 5010, usercpu_time_millis_training: 3350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.2182, kappa: 0.1644, kb_relative_information_score: 338.0522, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2208, predictive_accuracy: 0.2627, prior_entropy: 3.6268, recall: 0.2627, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1829, root_relative_squared_error: 1.0408, scimark_benchmark: 1332.9478, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 1337.3324, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 1318.4315, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.24, kappa: 0.1516, kb_relative_information_score: 342.4383, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2376, predictive_accuracy: 0.2518, prior_entropy: 3.6268, recall: 0.2518, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9803, scimark_benchmark: 1313.5633, usercpu_time_millis: 3850, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 3320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.1297, kappa: 0.1017, kb_relative_information_score: 218.084, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1069, predictive_accuracy: 0.225, prior_entropy: 3.6268, recall: 0.225, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.9771, scimark_benchmark: 1310.3168, usercpu_time_millis: 76620, usercpu_time_millis_testing: 76620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.2371, kappa: 0.164, kb_relative_information_score: 312.9357, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.221, predictive_accuracy: 0.2707, prior_entropy: 3.6268, recall: 0.2707, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.9586, scimark_benchmark: 1331.0047, usercpu_time_millis: 2570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.2403, kappa: 0.1632, kb_relative_information_score: 320.3802, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2226, predictive_accuracy: 0.2714, prior_entropy: 3.6268, recall: 0.2714, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.9569, scimark_benchmark: 1331.2559, usercpu_time_millis: 45520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 45490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 1320.1171, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 1322.2005, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 1330.4755, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.2426, kappa: 0.1534, kb_relative_information_score: 345.589, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2425, predictive_accuracy: 0.2547, prior_entropy: 3.6268, recall: 0.2547, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.9784, scimark_benchmark: 1335.2021, usercpu_time_millis: 500, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.24, kappa: 0.1516, kb_relative_information_score: 342.4383, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2376, predictive_accuracy: 0.2518, prior_entropy: 3.6268, recall: 0.2518, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9803, scimark_benchmark: 1351.1238, usercpu_time_millis: 4270, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 3630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 1350.8432, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 1370.3901, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.24, kappa: 0.1516, kb_relative_information_score: 342.4383, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2376, predictive_accuracy: 0.2518, prior_entropy: 3.6268, recall: 0.2518, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9803, scimark_benchmark: 929.0363, usercpu_time_millis: 4200, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 3710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.1781, kappa: 0.1096, kb_relative_information_score: 218.4562, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1621, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2293, root_relative_squared_error: 1.3054, scimark_benchmark: 1317.5857, usercpu_time_millis: 5690, usercpu_time_millis_testing: 2730, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.24, kappa: 0.1516, kb_relative_information_score: 342.4383, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2376, predictive_accuracy: 0.2518, prior_entropy: 3.6268, recall: 0.2518, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9803, scimark_benchmark: 1347.993, usercpu_time_millis: 4120, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 3500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.24, kappa: 0.1516, kb_relative_information_score: 342.4383, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2376, predictive_accuracy: 0.2518, prior_entropy: 3.6268, recall: 0.2518, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9803, scimark_benchmark: 1281.7531, usercpu_time_millis: 4800, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 3880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.2194, kappa: 0.1306, kb_relative_information_score: 273.8781, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2154, predictive_accuracy: 0.2279, prior_entropy: 3.6268, recall: 0.2279, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2091, root_relative_squared_error: 1.1904, scimark_benchmark: 918.0213, usercpu_time_millis: 760, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.1781, kappa: 0.1096, kb_relative_information_score: 218.4562, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1621, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2293, root_relative_squared_error: 1.3054, scimark_benchmark: 918.0213, usercpu_time_millis: 5480, usercpu_time_millis_testing: 2410, usercpu_time_millis_training: 3070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.2182, kappa: 0.1644, kb_relative_information_score: 338.0522, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2208, predictive_accuracy: 0.2627, prior_entropy: 3.6268, recall: 0.2627, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1829, root_relative_squared_error: 1.0408, scimark_benchmark: 935.5075, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 918.0213, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.2197, kappa: 0.1487, kb_relative_information_score: 318.6314, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.208, predictive_accuracy: 0.2562, prior_entropy: 3.6268, recall: 0.2562, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9673, scimark_benchmark: 1288.1375, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,

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