OpenML
Supervised Classification on usp05-ft

Supervised Classification on usp05-ft

Task 4613 Supervised Classification usp05-ft 164 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9207, kappa: 0.8257, kb_relative_information_score: 467.892, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.9171, predictive_accuracy: 0.9347, prior_entropy: 1.4392, recall: 0.9347, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.5565, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 304.8014, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8689, kappa: 0.6414, kb_relative_information_score: 380.5644, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.9053, predictive_accuracy: 0.8375, prior_entropy: 1.4392, recall: 0.8375, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.7951, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.83, kappa: 0.5742, kb_relative_information_score: 325.0664, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8133, predictive_accuracy: 0.8639, prior_entropy: 1.4392, recall: 0.8639, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.7145, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8761, kappa: 0.7184, kb_relative_information_score: 374.6805, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8652, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.6687, scimark_benchmark: 944.1067, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 304.8014, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 304.8014, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 936.3373, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8612, kappa: 0.6624, kb_relative_information_score: 400.5811, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8677, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.6039, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9207, kappa: 0.8257, kb_relative_information_score: 467.892, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.9171, predictive_accuracy: 0.9347, prior_entropy: 1.4392, recall: 0.9347, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.5565, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 304.8014, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 304.8014, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8689, kappa: 0.6414, kb_relative_information_score: 380.5644, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.9053, predictive_accuracy: 0.8375, prior_entropy: 1.4392, recall: 0.8375, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.7951, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.83, kappa: 0.5742, kb_relative_information_score: 325.0664, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8133, predictive_accuracy: 0.8639, prior_entropy: 1.4392, recall: 0.8639, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.7145, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8761, kappa: 0.7184, kb_relative_information_score: 374.6805, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8652, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.6687, scimark_benchmark: 942.2392, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8612, kappa: 0.6624, kb_relative_information_score: 400.5811, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8677, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.6039, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9052, kappa: 0.8108, kb_relative_information_score: 408.8307, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8851, predictive_accuracy: 0.9306, prior_entropy: 1.4392, recall: 0.9306, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.5491, scimark_benchmark: 819.5729, usercpu_time_millis: 1300, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9023, kappa: 0.8023, kb_relative_information_score: 408.3808, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8826, predictive_accuracy: 0.9278, prior_entropy: 1.4392, recall: 0.9278, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.552, scimark_benchmark: 958.8462, usercpu_time_millis: 500, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9023, kappa: 0.8023, kb_relative_information_score: 405.9097, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8826, predictive_accuracy: 0.9278, prior_entropy: 1.4392, recall: 0.9278, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.5593, scimark_benchmark: 942.2392, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9004, kappa: 0.7968, kb_relative_information_score: 405.8023, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8792, predictive_accuracy: 0.9264, prior_entropy: 1.4392, recall: 0.9264, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.144, root_relative_squared_error: 0.5571, scimark_benchmark: 917.2109, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8905, kappa: 0.7663, kb_relative_information_score: 394.0335, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8691, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.584, scimark_benchmark: 920.5394, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4104, f_measure: 0.6616, kb_relative_information_score: -11.0991, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.5835, predictive_accuracy: 0.7639, prior_entropy: 1.4392, recall: 0.7639, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2598, root_relative_squared_error: 1.0054, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8829, kappa: 0.7444, kb_relative_information_score: 342.2746, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8763, predictive_accuracy: 0.9, prior_entropy: 1.4392, recall: 0.9, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.6696, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8812, kappa: 0.7395, kb_relative_information_score: 341.0226, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8737, predictive_accuracy: 0.8986, prior_entropy: 1.4392, recall: 0.8986, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.6712, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8851, kappa: 0.7521, kb_relative_information_score: 346.2337, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8787, predictive_accuracy: 0.9028, prior_entropy: 1.4392, recall: 0.9028, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.6743, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8811, kappa: 0.738, kb_relative_information_score: 346.1116, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8759, predictive_accuracy: 0.8972, prior_entropy: 1.4392, recall: 0.8972, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.7086, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.872, kappa: 0.6993, kb_relative_information_score: 400.9432, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8669, predictive_accuracy: 0.8833, prior_entropy: 1.4392, recall: 0.8833, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.7221, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6616, kb_relative_information_score: 167.5412, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.5835, predictive_accuracy: 0.7639, prior_entropy: 1.4392, recall: 0.7639, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0856, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8664, kappa: 0.686, kb_relative_information_score: 322.2674, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8462, predictive_accuracy: 0.8931, prior_entropy: 1.4392, recall: 0.8931, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.6784, scimark_benchmark: 922.8232, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8981, kappa: 0.7647, kb_relative_information_score: 325.2377, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8922, predictive_accuracy: 0.9153, prior_entropy: 1.4392, recall: 0.9153, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.6431, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.7371, kappa: 0.2818, kb_relative_information_score: 246.5544, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.7136, predictive_accuracy: 0.7917, prior_entropy: 1.4392, recall: 0.7917, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8201, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9207, kappa: 0.8257, kb_relative_information_score: 467.892, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.9171, predictive_accuracy: 0.9347, prior_entropy: 1.4392, recall: 0.9347, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.5565, scimark_benchmark: 845.538, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 304.8014, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 952.4682, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 304.8014, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 1344.0351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 304.8014, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 1350.007, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8689, kappa: 0.6414, kb_relative_information_score: 380.5644, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.9053, predictive_accuracy: 0.8375, prior_entropy: 1.4392, recall: 0.8375, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.7951, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8761, kappa: 0.7184, kb_relative_information_score: 374.6805, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8652, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.6687, scimark_benchmark: 1281.7531, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9241, kappa: 0.831, kb_relative_information_score: 486.9464, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.9137, predictive_accuracy: 0.9375, prior_entropy: 1.4392, recall: 0.9375, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.5514, scimark_benchmark: 1326.8946, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8689, kappa: 0.6414, kb_relative_information_score: 380.5644, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.9053, predictive_accuracy: 0.8375, prior_entropy: 1.4392, recall: 0.8375, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.7951, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8936, kappa: 0.7559, kb_relative_information_score: 477.2462, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8827, predictive_accuracy: 0.9056, prior_entropy: 1.4392, recall: 0.9056, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.5337, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8926, kappa: 0.7836, kb_relative_information_score: 439.881, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8724, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.163, root_relative_squared_error: 0.6309, scimark_benchmark: 1384.4422, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9337, kappa: 0.8602, kb_relative_information_score: 456.1104, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.9207, predictive_accuracy: 0.9472, prior_entropy: 1.4392, recall: 0.9472, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.5057, scimark_benchmark: 1341.1616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.9226, kappa: 0.8268, kb_relative_information_score: 485.3, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.9136, predictive_accuracy: 0.9361, prior_entropy: 1.4392, recall: 0.9361, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.5556, scimark_benchmark: 917.9672, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8706, kappa: 0.706, kb_relative_information_score: 351.7966, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8467, predictive_accuracy: 0.8986, prior_entropy: 1.4392, recall: 0.8986, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.6582, scimark_benchmark: 1308.0332, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8419, kappa: 0.612, kb_relative_information_score: 327.2773, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8222, predictive_accuracy: 0.875, prior_entropy: 1.4392, recall: 0.875, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.7049, scimark_benchmark: 1227.9507, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8691, kappa: 0.7012, kb_relative_information_score: 350.0265, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8452, predictive_accuracy: 0.8972, prior_entropy: 1.4392, recall: 0.8972, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.6603, scimark_benchmark: 1342.2985, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8659, kappa: 0.6905, kb_relative_information_score: 350.2151, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1439, number_of_instances: 720, precision: 0.8423, predictive_accuracy: 0.8944, prior_entropy: 1.4392, recall: 0.8944, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.6622, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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