Task
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 13 Supervised Classification breast-cancer 767 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1338.5214, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7196, kappa: 0.3146, kb_relative_information_score: 54.5395, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7157, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.7, kappa: 0.2545, kb_relative_information_score: 44.4553, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6976, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9805, scimark_benchmark: 1342.6744, usercpu_time_millis: 1850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1338.5214, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7196, kappa: 0.3146, kb_relative_information_score: 54.5395, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7157, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6695, kappa: 0.1734, kb_relative_information_score: 25.198, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.675, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9889, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.7, kappa: 0.2545, kb_relative_information_score: 44.4553, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6976, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9805, scimark_benchmark: 1317.5857, usercpu_time_millis: 1520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7152, kappa: 0.2889, kb_relative_information_score: 36.429, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7215, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9717, scimark_benchmark: 1374.9737, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1342.8584, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7196, kappa: 0.3146, kb_relative_information_score: 54.5395, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7157, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6695, kappa: 0.1734, kb_relative_information_score: 25.198, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.675, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9889, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.7, kappa: 0.2545, kb_relative_information_score: 44.4553, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6976, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9805, scimark_benchmark: 1354.5533, usercpu_time_millis: 1450, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7208, kappa: 0.3051, kb_relative_information_score: 70.8883, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7224, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9764, scimark_benchmark: 1350.2591, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1323.5075, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7196, kappa: 0.3146, kb_relative_information_score: 54.5395, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7157, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.7, kappa: 0.2545, kb_relative_information_score: 44.4553, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6976, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9805, scimark_benchmark: 1332.9478, usercpu_time_millis: 2410, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7208, kappa: 0.3051, kb_relative_information_score: 70.8883, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7224, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9764, scimark_benchmark: 1351.3088, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7152, kappa: 0.2889, kb_relative_information_score: 36.429, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7215, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9717, scimark_benchmark: 1320.8283, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 1322.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.697, kappa: 0.2438, kb_relative_information_score: 40.4457, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6987, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9654, scimark_benchmark: 1318.6467, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1332.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1342.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.7, kappa: 0.2545, kb_relative_information_score: 44.4553, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6976, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9805, scimark_benchmark: 1352.9931, usercpu_time_millis: 1460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7152, kappa: 0.2889, kb_relative_information_score: 36.429, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7215, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9717, scimark_benchmark: 1292.1745, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1350.0252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7208, kappa: 0.3051, kb_relative_information_score: 70.8883, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7224, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9764, scimark_benchmark: 1351.1238, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7152, kappa: 0.2889, kb_relative_information_score: 36.429, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7215, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9717, scimark_benchmark: 1404.0159, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7, kappa: 0.2545, kb_relative_information_score: 53.5502, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6976, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9711, scimark_benchmark: 1353.5464, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1350.007, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1260.1387, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.6449, kappa: 0.1224, kb_relative_information_score: 18.7288, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6904, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.9616, scimark_benchmark: 1321.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.6739, kappa: 0.1921, kb_relative_information_score: 27.0735, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6674, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4619, root_relative_squared_error: 1.0107, scimark_benchmark: 1270.2428, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.6748, kappa: 0.1923, kb_relative_information_score: 28.0688, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6689, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.0004, scimark_benchmark: 1311.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6496, kappa: 0.1252, kb_relative_information_score: 28.358, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6592, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9593, scimark_benchmark: 1330.8781, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 994.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.6665, kappa: 0.1857, kb_relative_information_score: 16.1028, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6608, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1525, scimark_benchmark: 1342.7245, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.6665, kappa: 0.1857, kb_relative_information_score: 16.1028, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6608, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1525, scimark_benchmark: 1360.2771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 1297.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.6536, kappa: 0.1434, kb_relative_information_score: 44.4077, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6452, predictive_accuracy: 0.6713, prior_entropy: 0.8796, recall: 0.6713, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5733, root_relative_squared_error: 1.2544, scimark_benchmark: 986.8456, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.6953, kappa: 0.2423, kb_relative_information_score: 32.2624, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6928, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9533, scimark_benchmark: 1334.9657, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6743, kappa: 0.2189, kb_relative_information_score: 47.5355, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6737, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.1271, scimark_benchmark: 1323.237, usercpu_time_millis: 3430, usercpu_time_millis_training: 3430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.6802, kappa: 0.2101, kb_relative_information_score: 26.5157, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.674, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.0121, scimark_benchmark: 1347.7065, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.7067, kappa: 0.2686, kb_relative_information_score: 50.0539, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7084, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0958, scimark_benchmark: 1307.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: -0.3776, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001, scimark_benchmark: 1344.7246, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.6822, kappa: 0.2058, kb_relative_information_score: 17.933, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6834, predictive_accuracy: 0.7133, prior_entropy: 0.8796, recall: 0.7133, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9831, scimark_benchmark: 1347.3845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 1327.9952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.6858, kappa: 0.2177, kb_relative_information_score: 0.4691, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6829, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9666, scimark_benchmark: 1321.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.7066, kappa: 0.266, kb_relative_information_score: 83.9232, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7226, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0879, scimark_benchmark: 1321.8733, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.655, kappa: 0.1445, kb_relative_information_score: 19.0905, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6958, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9624, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6571, kappa: 0.1454, kb_relative_information_score: 26.8176, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.678, predictive_accuracy: 0.7133, prior_entropy: 0.8796, recall: 0.7133, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9609, scimark_benchmark: 1344.3348, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.6536, kappa: 0.1336, kb_relative_information_score: 26.0397, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6537, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9719, scimark_benchmark: 1323.976, usercpu_time_millis: 20, 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