Task
Supervised Classification on visualizing_galaxy

Supervised Classification on visualizing_galaxy

Task 4493 Supervised Classification visualizing_galaxy 219 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9397, kappa: 0.8786, kb_relative_information_score: 2667.1346, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9399, predictive_accuracy: 0.9396, prior_entropy: 0.995, recall: 0.9396, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4667, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9455, kappa: 0.8904, kb_relative_information_score: 2650.5644, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.995, recall: 0.9455, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4183, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9443, kappa: 0.8879, kb_relative_information_score: 2750.0062, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 0.995, recall: 0.9443, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4188, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8764, kappa: 0.7513, kb_relative_information_score: 2435.9157, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.8889, predictive_accuracy: 0.8783, prior_entropy: 0.995, recall: 0.8783, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7001, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8764, kappa: 0.7513, kb_relative_information_score: 2435.9157, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.8889, predictive_accuracy: 0.8783, prior_entropy: 0.995, recall: 0.8783, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7001, scimark_benchmark: 904.0772, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9397, kappa: 0.8785, kb_relative_information_score: 2673.7129, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9397, predictive_accuracy: 0.9396, prior_entropy: 0.995, recall: 0.9396, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.432, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9591, kappa: 0.9175, kb_relative_information_score: 2510.1071, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9593, predictive_accuracy: 0.9591, prior_entropy: 0.995, recall: 0.9591, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4159, scimark_benchmark: 938.9588, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9554, kappa: 0.9102, kb_relative_information_score: 2900.1195, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.995, recall: 0.9554, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3672, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8764, kappa: 0.7513, kb_relative_information_score: 2435.9157, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.8889, predictive_accuracy: 0.8783, prior_entropy: 0.995, recall: 0.8783, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7001, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8764, kappa: 0.7513, kb_relative_information_score: 2435.9157, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.8889, predictive_accuracy: 0.8783, prior_entropy: 0.995, recall: 0.8783, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7001, scimark_benchmark: 944.1783, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9406, kappa: 0.8803, kb_relative_information_score: 2787.6717, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 0.995, recall: 0.9406, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.3996, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9397, kappa: 0.8786, kb_relative_information_score: 2667.1346, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9399, predictive_accuracy: 0.9396, prior_entropy: 0.995, recall: 0.9396, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4667, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9455, kappa: 0.8904, kb_relative_information_score: 2650.5644, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.995, recall: 0.9455, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4183, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9443, kappa: 0.8879, kb_relative_information_score: 2750.0062, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 0.995, recall: 0.9443, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4188, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8764, kappa: 0.7513, kb_relative_information_score: 2435.9157, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.8889, predictive_accuracy: 0.8783, prior_entropy: 0.995, recall: 0.8783, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7001, scimark_benchmark: 904.5548, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9353, kappa: 0.8698, kb_relative_information_score: 2618.5783, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9354, predictive_accuracy: 0.9353, prior_entropy: 0.995, recall: 0.9353, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4796, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9397, kappa: 0.8785, kb_relative_information_score: 2673.7129, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9397, predictive_accuracy: 0.9396, prior_entropy: 0.995, recall: 0.9396, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.432, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9591, kappa: 0.9175, kb_relative_information_score: 2510.1071, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9593, predictive_accuracy: 0.9591, prior_entropy: 0.995, recall: 0.9591, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4159, scimark_benchmark: 936.3213, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9554, kappa: 0.9102, kb_relative_information_score: 2900.1195, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.995, recall: 0.9554, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3672, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9406, kappa: 0.8803, kb_relative_information_score: 2787.6717, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 0.995, recall: 0.9406, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.3996, scimark_benchmark: 917.5013, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9934, f_measure: 0.9641, kappa: 0.9278, kb_relative_information_score: 2815.8692, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9642, predictive_accuracy: 0.9641, prior_entropy: 0.995, recall: 0.9641, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3568, scimark_benchmark: 935.5664, usercpu_time_millis: 700, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9635, kappa: 0.9265, kb_relative_information_score: 2818.1423, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9636, predictive_accuracy: 0.9635, prior_entropy: 0.995, recall: 0.9635, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3559, scimark_benchmark: 934.695, usercpu_time_millis: 340, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9626, kappa: 0.9246, kb_relative_information_score: 2812.7217, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9627, predictive_accuracy: 0.9625, prior_entropy: 0.995, recall: 0.9625, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3586, scimark_benchmark: 921.466, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9598, kappa: 0.919, kb_relative_information_score: 2811.7866, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.995, recall: 0.9598, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3637, scimark_benchmark: 921.2615, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9567, kappa: 0.9127, kb_relative_information_score: 2809.8463, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3689, scimark_benchmark: 918.0831, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9465, kappa: 0.8922, kb_relative_information_score: 2804.4159, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9465, predictive_accuracy: 0.9464, prior_entropy: 0.995, recall: 0.9464, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4222, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9465, kappa: 0.8922, kb_relative_information_score: 2804.4159, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9465, predictive_accuracy: 0.9464, prior_entropy: 0.995, recall: 0.9464, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4222, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9465, kappa: 0.8922, kb_relative_information_score: 2804.4159, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9465, predictive_accuracy: 0.9464, prior_entropy: 0.995, recall: 0.9464, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4222, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9449, kappa: 0.8891, kb_relative_information_score: 2795.2229, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.945, predictive_accuracy: 0.9449, prior_entropy: 0.995, recall: 0.9449, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4251, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9421, kappa: 0.8835, kb_relative_information_score: 2737.6025, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9422, predictive_accuracy: 0.9421, prior_entropy: 0.995, recall: 0.9421, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4387, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.3808, kb_relative_information_score: -0.4032, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.2935, predictive_accuracy: 0.5418, prior_entropy: 0.995, recall: 0.5418, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9353, kappa: 0.8698, kb_relative_information_score: 2618.5783, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9354, predictive_accuracy: 0.9353, prior_entropy: 0.995, recall: 0.9353, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4796, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9397, kappa: 0.8785, kb_relative_information_score: 2673.7129, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9397, predictive_accuracy: 0.9396, prior_entropy: 0.995, recall: 0.9396, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.432, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9455, kappa: 0.8904, kb_relative_information_score: 2650.5644, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.995, recall: 0.9455, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4183, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9353, kappa: 0.8698, kb_relative_information_score: 2618.5783, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9354, predictive_accuracy: 0.9353, prior_entropy: 0.995, recall: 0.9353, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4796, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9397, kappa: 0.8785, kb_relative_information_score: 2673.7129, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9397, predictive_accuracy: 0.9396, prior_entropy: 0.995, recall: 0.9396, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.432, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9591, kappa: 0.9175, kb_relative_information_score: 2510.1071, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9593, predictive_accuracy: 0.9591, prior_entropy: 0.995, recall: 0.9591, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4159, scimark_benchmark: 1325.8468, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8764, kappa: 0.7513, kb_relative_information_score: 2435.9157, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.8889, predictive_accuracy: 0.8783, prior_entropy: 0.995, recall: 0.8783, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7001, scimark_benchmark: 1332.7986, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9591, kappa: 0.9175, kb_relative_information_score: 2510.1071, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9593, predictive_accuracy: 0.9591, prior_entropy: 0.995, recall: 0.9591, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4159, scimark_benchmark: 1325.8468, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9554, kappa: 0.9102, kb_relative_information_score: 2900.1195, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.995, recall: 0.9554, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3672, scimark_benchmark: 1322.1893, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9406, kappa: 0.8803, kb_relative_information_score: 2787.6717, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 0.995, recall: 0.9406, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.3996, scimark_benchmark: 1346.2927, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9604, kappa: 0.9201, kb_relative_information_score: 2858.8597, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9604, predictive_accuracy: 0.9604, prior_entropy: 0.995, recall: 0.9604, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.339, scimark_benchmark: 1334.863, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9443, kappa: 0.8879, kb_relative_information_score: 2750.0062, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 0.995, recall: 0.9443, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4188, scimark_benchmark: 1318.4315, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9572, kappa: 0.9138, kb_relative_information_score: 2611.4036, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9574, predictive_accuracy: 0.9573, prior_entropy: 0.995, recall: 0.9573, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.3995, scimark_benchmark: 1337.1928, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8764, kappa: 0.7513, kb_relative_information_score: 2435.9157, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.8889, predictive_accuracy: 0.8783, prior_entropy: 0.995, recall: 0.8783, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7001, scimark_benchmark: 1310.3168, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs