Task
Supervised Classification on arrhythmia

Supervised Classification on arrhythmia

Task 5 Supervised Classification arrhythmia 3348 runs submitted
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  • basic study_1 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, build_cpu_time: 0.0948, build_memory: 1865315034.4248, f_measure: 0.4755, kappa: 0.1868, kb_relative_information_score: -48.6419, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4485, predictive_accuracy: 0.5509, prior_entropy: 2.5222, recall: 0.5509, relative_absolute_error: 1.335, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.236, root_relative_squared_error: 1.1487, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, build_cpu_time: 0.094, build_memory: 1289953000.4779, f_measure: 0.4755, kappa: 0.1868, kb_relative_information_score: -48.6419, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4485, predictive_accuracy: 0.5509, prior_entropy: 2.5222, recall: 0.5509, relative_absolute_error: 1.335, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.236, root_relative_squared_error: 1.1487, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, build_cpu_time: 0.5292, build_memory: 502484957.6106, f_measure: 0.5992, kappa: 0.4055, kb_relative_information_score: 175.1959, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5995, predictive_accuracy: 0.6726, prior_entropy: 2.5222, recall: 0.6726, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.8242, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, build_cpu_time: 4.6791, build_memory: 654667970.1593, f_measure: 0.6525, kappa: 0.4937, kb_relative_information_score: 124.1518, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6526, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.9126, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, build_cpu_time: 4.4376, build_memory: 902603139.8584, f_measure: 0.6525, kappa: 0.4937, kb_relative_information_score: 123.9187, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6526, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 0.8918, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.9124, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, build_cpu_time: 5.0039, build_memory: 1696593961.9469, f_measure: 0.6525, kappa: 0.4937, kb_relative_information_score: 124.1518, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6526, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.9126, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, build_cpu_time: 4.8808, build_memory: 837975677.5221, f_measure: 0.6525, kappa: 0.4937, kb_relative_information_score: 124.1518, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6526, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.9126, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, build_cpu_time: 0.0559, build_memory: 1087430036.0531, f_measure: 0.4755, kappa: 0.1868, kb_relative_information_score: -48.6419, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4485, predictive_accuracy: 0.5509, prior_entropy: 2.5222, recall: 0.5509, relative_absolute_error: 1.335, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.236, root_relative_squared_error: 1.1487, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, build_cpu_time: 0.0829, build_memory: 1323047140.8496, f_measure: 0.4755, kappa: 0.1868, kb_relative_information_score: -48.6419, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4485, predictive_accuracy: 0.5509, prior_entropy: 2.5222, recall: 0.5509, relative_absolute_error: 1.335, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.236, root_relative_squared_error: 1.1487, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, build_cpu_time: 0.5432, build_memory: 880071822.1947, f_measure: 0.5992, kappa: 0.4055, kb_relative_information_score: 175.1959, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5995, predictive_accuracy: 0.6726, prior_entropy: 2.5222, recall: 0.6726, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.8242, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, build_cpu_time: 0.0558, build_memory: 437349031.0796, f_measure: 0.4755, kappa: 0.1868, kb_relative_information_score: -48.6419, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4485, predictive_accuracy: 0.5509, prior_entropy: 2.5222, recall: 0.5509, relative_absolute_error: 1.335, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.236, root_relative_squared_error: 1.1487, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7084, kappa: 0.5842, kb_relative_information_score: 248.5438, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6884, predictive_accuracy: 0.7345, prior_entropy: 2.5222, recall: 0.7345, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.8772, scimark_benchmark: 915.2795, usercpu_time_millis: 38770, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 38600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.6533, kappa: 0.4994, kb_relative_information_score: 217.1494, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6316, predictive_accuracy: 0.6814, prior_entropy: 2.5222, recall: 0.6814, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.8263, scimark_benchmark: 947.9494, usercpu_time_millis: 21850, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 21810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.6809, kappa: 0.535, kb_relative_information_score: 225.0419, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6637, predictive_accuracy: 0.7102, prior_entropy: 2.5222, recall: 0.7102, relative_absolute_error: 0.5757, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.79, scimark_benchmark: 930.32, usercpu_time_millis: 4590, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 4480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 81.8152, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2393, root_relative_squared_error: 1.1643, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.6701, kappa: 0.519, kb_relative_information_score: 230.5844, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6494, predictive_accuracy: 0.7013, prior_entropy: 2.5222, recall: 0.7013, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.8519, scimark_benchmark: 902.4773, usercpu_time_millis: 11100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6998, kappa: 0.5724, kb_relative_information_score: 244.3223, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6767, predictive_accuracy: 0.7345, prior_entropy: 2.5222, recall: 0.7345, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.852, scimark_benchmark: 923.9763, usercpu_time_millis: 21330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 21320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7232, kappa: 0.6079, kb_relative_information_score: 253.3588, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.7209, predictive_accuracy: 0.75, prior_entropy: 2.5222, recall: 0.75, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.8598, scimark_benchmark: 457.518, usercpu_time_millis: 85690, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 85160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, f_measure: 0.3811, kb_relative_information_score: 0.0614, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2056, root_relative_squared_error: 1.0003, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.3811, kb_relative_information_score: -20.3702, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.2929, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2318, root_relative_squared_error: 1.128, scimark_benchmark: 935.4866, usercpu_time_millis: 2970, usercpu_time_millis_testing: 2330, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7031, kappa: 0.5771, kb_relative_information_score: 232.3349, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6791, predictive_accuracy: 0.7345, prior_entropy: 2.5222, recall: 0.7345, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.7742, scimark_benchmark: 929.0255, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.6158, kappa: 0.4491, kb_relative_information_score: 181.1669, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.602, predictive_accuracy: 0.6814, prior_entropy: 2.5222, recall: 0.6814, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.8486, scimark_benchmark: 902.4773, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7033, kappa: 0.5728, kb_relative_information_score: 245.2202, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6962, predictive_accuracy: 0.7257, prior_entropy: 2.5222, recall: 0.7257, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.8845, scimark_benchmark: 947.0793, usercpu_time_millis: 19330, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 19210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, build_cpu_time: 0.0099, build_memory: 213426675.8584, f_measure: 0.6267, kappa: 0.4528, kb_relative_information_score: 195.8955, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.63, predictive_accuracy: 0.6305, prior_entropy: 2.5222, recall: 0.6305, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2124, root_relative_squared_error: 1.0335, scimark_benchmark: 1469.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, build_cpu_time: 3210.9121, build_memory: 435641152.2124, f_measure: 0.7151, kappa: 0.5904, kb_relative_information_score: 255.0098, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.7017, predictive_accuracy: 0.7434, prior_entropy: 2.5222, recall: 0.7434, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.154, root_relative_squared_error: 0.7492, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, build_cpu_time: 1751.4215, build_memory: 93866213.5575, f_measure: 0.7096, kappa: 0.5804, kb_relative_information_score: 255.2178, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6961, predictive_accuracy: 0.7367, prior_entropy: 2.5222, recall: 0.7367, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.7503, scimark_benchmark: 939.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, build_cpu_time: 834.83, build_memory: 51737067.8053, f_measure: 0.7201, kappa: 0.5958, kb_relative_information_score: 254.131, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.7049, predictive_accuracy: 0.7456, prior_entropy: 2.5222, recall: 0.7456, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.7534, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, build_cpu_time: 11.1547, build_memory: 358058446.5664, f_measure: 0.7219, kappa: 0.6166, kb_relative_information_score: 241.8964, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6982, predictive_accuracy: 0.7566, prior_entropy: 2.5222, recall: 0.7566, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.7406, scimark_benchmark: 947.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, build_cpu_time: 0.001, build_memory: 28926934.8142, f_measure: 0.3811, kb_relative_information_score: 0.0614, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2056, root_relative_squared_error: 1.0003, scimark_benchmark: 947.3969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, f_measure: 0.3811, kb_relative_information_score: 0.0614, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2056, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, build_cpu_time: 0.005, build_memory: 28998114.7257, f_measure: 0.3811, kb_relative_information_score: 0.0614, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2056, root_relative_squared_error: 1.0003, scimark_benchmark: 944.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, build_cpu_time: 0.3158, build_memory: 36411553.9823, f_measure: 0.6165, kappa: 0.4395, kb_relative_information_score: 180.8273, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6003, predictive_accuracy: 0.635, prior_entropy: 2.5222, recall: 0.635, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.9902, scimark_benchmark: 946.6385,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, build_cpu_time: 0.3202, build_memory: 24908028.4248, f_measure: 0.6165, kappa: 0.4395, kb_relative_information_score: 180.8273, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6003, predictive_accuracy: 0.635, prior_entropy: 2.5222, recall: 0.635, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.9902, scimark_benchmark: 946.3278,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, build_cpu_time: 4.2449, build_memory: 105010565.6637, f_measure: 0.7247, kappa: 0.6227, kb_relative_information_score: 240.9081, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6996, predictive_accuracy: 0.7589, prior_entropy: 2.5222, recall: 0.7589, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.7441, scimark_benchmark: 936.8247,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, build_cpu_time: 0.7579, build_memory: 381823441.8938, f_measure: 0.6822, kappa: 0.5448, kb_relative_information_score: 208.6263, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6733, predictive_accuracy: 0.7257, prior_entropy: 2.5222, recall: 0.7257, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.7855, scimark_benchmark: 933.4176,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, build_cpu_time: 0.0211, build_memory: 749734809.0796, f_measure: 0.6267, kappa: 0.4528, kb_relative_information_score: 195.8955, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.63, predictive_accuracy: 0.6305, prior_entropy: 2.5222, recall: 0.6305, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2124, root_relative_squared_error: 1.0335, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, build_cpu_time: 0.2997, build_memory: 1016367458.3009, f_measure: 0.6968, kappa: 0.576, kb_relative_information_score: 247.5346, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6792, predictive_accuracy: 0.7301, prior_entropy: 2.5222, recall: 0.7301, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.8432, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, build_cpu_time: 10.0884, build_memory: 1515615169.6814, f_measure: 0.6701, kappa: 0.519, kb_relative_information_score: 230.5844, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6494, predictive_accuracy: 0.7013, prior_entropy: 2.5222, recall: 0.7013, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.8519, scimark_benchmark: 933.1799,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.42, kappa: 0.0796, kb_relative_information_score: 102.5612, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.391, predictive_accuracy: 0.5619, prior_entropy: 2.5222, recall: 0.5619, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.9162, scimark_benchmark: 934.3717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.486, kappa: 0.2084, kb_relative_information_score: 135.7478, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4856, predictive_accuracy: 0.5243, prior_entropy: 2.5222, recall: 0.5243, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2085, root_relative_squared_error: 1.0147, scimark_benchmark: 948.7401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.5053, kappa: 0.2468, kb_relative_information_score: 122.5407, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5076, predictive_accuracy: 0.5332, prior_entropy: 2.5222, recall: 0.5332, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2371, root_relative_squared_error: 1.1539, scimark_benchmark: 941.5082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.6505, kappa: 0.4914, kb_relative_information_score: 125.6406, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6507, predictive_accuracy: 0.6549, prior_entropy: 2.5222, recall: 0.6549, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.9228, scimark_benchmark: 945.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4755, kappa: 0.1868, kb_relative_information_score: -48.6419, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4485, predictive_accuracy: 0.5509, prior_entropy: 2.5222, recall: 0.5509, relative_absolute_error: 1.335, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.236, root_relative_squared_error: 1.1487, scimark_benchmark: 912.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.6972, kappa: 0.5644, kb_relative_information_score: 176.2654, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6868, predictive_accuracy: 0.7301, prior_entropy: 2.5222, recall: 0.7301, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.8109, scimark_benchmark: 913.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.5476, kappa: 0.2972, kb_relative_information_score: 156.5324, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5887, predictive_accuracy: 0.6327, prior_entropy: 2.5222, recall: 0.6327, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2132, root_relative_squared_error: 1.0376, scimark_benchmark: 927.8123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.6589, kappa: 0.4992, kb_relative_information_score: -3.4158, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6697, predictive_accuracy: 0.7058, prior_entropy: 2.5222, recall: 0.7058, relative_absolute_error: 1.2838, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.23, root_relative_squared_error: 1.1193, scimark_benchmark: 926.3325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.6682, kappa: 0.5005, kb_relative_information_score: 216.0345, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6648, predictive_accuracy: 0.6881, prior_entropy: 2.5222, recall: 0.6881, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.197, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.5447, kappa: 0.3119, kb_relative_information_score: 144.5717, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5498, predictive_accuracy: 0.5487, prior_entropy: 2.5222, recall: 0.5487, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2373, root_relative_squared_error: 1.1546, scimark_benchmark: 926.1666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.5269, kappa: 0.2946, kb_relative_information_score: 152.6114, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5025, predictive_accuracy: 0.5642, prior_entropy: 2.5222, recall: 0.5642, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2098, root_relative_squared_error: 1.0211, scimark_benchmark: 923.2841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.5298, kappa: 0.2865, kb_relative_information_score: -18.5135, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5479, predictive_accuracy: 0.604, prior_entropy: 2.5222, recall: 0.604, relative_absolute_error: 1.236, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2235, root_relative_squared_error: 1.0878, scimark_benchmark: 944.0824,

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