Task
Supervised Classification on SPECT

Supervised Classification on SPECT

Task 4200 Supervised Classification SPECT 212 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, build_cpu_time: 0.0282, build_memory: 420960204.9378, f_measure: 0.8104, kappa: 0.396, kb_relative_information_score: 536.6734, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.806, predictive_accuracy: 0.8199, prior_entropy: 0.738, recall: 0.8199, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.8842, scimark_benchmark: 945.1951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, build_cpu_time: 0.0733, build_memory: 1713028952.9288, f_measure: 0.8134, kappa: 0.4023, kb_relative_information_score: 560.1251, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8095, predictive_accuracy: 0.8243, prior_entropy: 0.738, recall: 0.8243, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.876, scimark_benchmark: 948.5242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, build_cpu_time: 0.1128, build_memory: 978511088.1828, f_measure: 0.8167, kappa: 0.4115, kb_relative_information_score: 571.3638, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8133, predictive_accuracy: 0.8281, prior_entropy: 0.738, recall: 0.8281, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.353, root_relative_squared_error: 0.8728, scimark_benchmark: 942.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, build_cpu_time: 0.2357, build_memory: 146365605.8697, f_measure: 0.8156, kappa: 0.4081, kb_relative_information_score: 571.9474, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8121, predictive_accuracy: 0.827, prior_entropy: 0.738, recall: 0.827, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.8726, scimark_benchmark: 927.8052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, build_cpu_time: 0.6536, build_memory: 1214531297.4742, f_measure: 0.8243, kappa: 0.4311, kb_relative_information_score: 523.6491, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8234, predictive_accuracy: 0.8378, prior_entropy: 0.738, recall: 0.8378, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.8722, scimark_benchmark: 941.3511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.3835, build_memory: 1327366900.3086, f_measure: 0.8253, kappa: 0.4346, kb_relative_information_score: 523.6453, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8244, predictive_accuracy: 0.8386, prior_entropy: 0.738, recall: 0.8386, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.8731, scimark_benchmark: 942.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, build_cpu_time: 0.0264, build_memory: 398945456.9079, f_measure: 0.8187, kappa: 0.4237, kb_relative_information_score: 1009.1069, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8149, predictive_accuracy: 0.8273, prior_entropy: 0.738, recall: 0.8273, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9862, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, build_cpu_time: 0.0527, build_memory: 128154857.7948, f_measure: 0.8143, kappa: 0.4076, kb_relative_information_score: 978.6928, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8103, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.9955, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, build_cpu_time: 0.1713, build_memory: 993209459.6345, f_measure: 0.813, kappa: 0.4117, kb_relative_information_score: 953.9291, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8092, predictive_accuracy: 0.8191, prior_entropy: 0.738, recall: 0.8191, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.0143, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, build_cpu_time: 0.278, build_memory: 1072110041.6959, f_measure: 0.811, kappa: 0.4052, kb_relative_information_score: 918.8281, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8071, predictive_accuracy: 0.8172, prior_entropy: 0.738, recall: 0.8172, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0202, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, build_cpu_time: 0.3417, build_memory: 319720292.0929, f_measure: 0.8111, kappa: 0.4088, kb_relative_information_score: 911.0211, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8076, predictive_accuracy: 0.8161, prior_entropy: 0.738, recall: 0.8161, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0324, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7973, kappa: 0.3706, kb_relative_information_score: 479.5627, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7945, predictive_accuracy: 0.8007, prior_entropy: 0.738, recall: 0.8007, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.385, root_relative_squared_error: 0.9518, scimark_benchmark: 1367.4715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.7028, kb_relative_information_score: -12.8687, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0002, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.8033, kappa: 0.3787, kb_relative_information_score: 875.0032, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7988, predictive_accuracy: 0.8109, prior_entropy: 0.738, recall: 0.8109, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4349, root_relative_squared_error: 1.0753, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 716.4113, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.7364, kappa: 0.3052, kb_relative_information_score: -41.3058, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7868, predictive_accuracy: 0.7135, prior_entropy: 0.738, recall: 0.7135, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.3235, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.7917, kappa: 0.3605, kb_relative_information_score: 461.3853, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7908, predictive_accuracy: 0.7925, prior_entropy: 0.738, recall: 0.7925, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.9878, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.8126, kappa: 0.4145, kb_relative_information_score: 934.9157, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8094, predictive_accuracy: 0.8172, prior_entropy: 0.738, recall: 0.8172, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.0571, scimark_benchmark: 1319.6463, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7842, kappa: 0.3106, kb_relative_information_score: 350.5501, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7778, predictive_accuracy: 0.7959, prior_entropy: 0.738, recall: 0.7959, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.9628, scimark_benchmark: 1287.514, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.7664, kappa: 0.2316, kb_relative_information_score: 194.5, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7596, predictive_accuracy: 0.7921, prior_entropy: 0.738, recall: 0.7921, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9732, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7682, kappa: 0.3165, kb_relative_information_score: 454.8164, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7777, predictive_accuracy: 0.761, prior_entropy: 0.738, recall: 0.761, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4441, root_relative_squared_error: 1.0982, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.8149, kappa: 0.4139, kb_relative_information_score: 522.2604, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8108, predictive_accuracy: 0.8225, prior_entropy: 0.738, recall: 0.8225, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9012, scimark_benchmark: 1315.0767, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.831, kappa: 0.5197, kb_relative_information_score: 526.7621, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8501, predictive_accuracy: 0.8217, prior_entropy: 0.738, recall: 0.8217, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9009, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8233, kappa: 0.4419, kb_relative_information_score: 726.9605, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8197, predictive_accuracy: 0.83, prior_entropy: 0.738, recall: 0.83, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.8532, scimark_benchmark: 944.5495, usercpu_time_millis: 1460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.8168, kappa: 0.4281, kb_relative_information_score: 970.1584, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8137, predictive_accuracy: 0.821, prior_entropy: 0.738, recall: 0.821, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.0462, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8241, kappa: 0.4371, kb_relative_information_score: 562.3208, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.821, predictive_accuracy: 0.8341, prior_entropy: 0.738, recall: 0.8341, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.8593, scimark_benchmark: 1280.6952, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.8255, kappa: 0.4588, kb_relative_information_score: 1037.1194, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8234, predictive_accuracy: 0.8281, prior_entropy: 0.738, recall: 0.8281, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0252, scimark_benchmark: 1310.3951, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 716.4113, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.7998, kappa: 0.3948, kb_relative_information_score: 751.6539, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8022, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.112, scimark_benchmark: 934.4732, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.8148, kappa: 0.4634, kb_relative_information_score: 836.2363, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8282, predictive_accuracy: 0.8067, prior_entropy: 0.738, recall: 0.8067, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4396, root_relative_squared_error: 1.087, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8044, kappa: 0.4236, kb_relative_information_score: 339.1203, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8132, predictive_accuracy: 0.7981, prior_entropy: 0.738, recall: 0.7981, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9113, scimark_benchmark: 939.5205, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.8069, kappa: 0.4371, kb_relative_information_score: 349.0546, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8188, predictive_accuracy: 0.7993, prior_entropy: 0.738, recall: 0.7993, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.8972, scimark_benchmark: 1325.2092, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7605, kappa: 0.2242, kb_relative_information_score: 156.6688, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7512, predictive_accuracy: 0.779, prior_entropy: 0.738, recall: 0.779, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9232, scimark_benchmark: 1324.8395, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8298, kappa: 0.4549, kb_relative_information_score: 480.6036, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8273, predictive_accuracy: 0.8397, prior_entropy: 0.738, recall: 0.8397, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.8636, scimark_benchmark: 1404.1865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.8319, kappa: 0.4617, kb_relative_information_score: 560.4238, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8295, predictive_accuracy: 0.8416, prior_entropy: 0.738, recall: 0.8416, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.8562, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8257, kappa: 0.4469, kb_relative_information_score: 602.9439, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8222, predictive_accuracy: 0.8333, prior_entropy: 0.738, recall: 0.8333, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.856, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.826, kappa: 0.447, kb_relative_information_score: 668.5674, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8226, predictive_accuracy: 0.8341, prior_entropy: 0.738, recall: 0.8341, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8489, scimark_benchmark: 1368.9272, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.8154, kappa: 0.4011, kb_relative_information_score: 453.8175, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8138, predictive_accuracy: 0.8303, prior_entropy: 0.738, recall: 0.8303, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.8748, scimark_benchmark: 1307.3269, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.8198, kappa: 0.4376, kb_relative_information_score: 638.435, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8169, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.8804, scimark_benchmark: 1346.2133, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 523.4008, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.0328, scimark_benchmark: 1354.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8096, kappa: 0.4021, kb_relative_information_score: 184.1505, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8058, predictive_accuracy: 0.8154, prior_entropy: 0.738, recall: 0.8154, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8963, scimark_benchmark: 1337.6765, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.8213, kappa: 0.4233, kb_relative_information_score: 561.6099, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8193, predictive_accuracy: 0.8341, prior_entropy: 0.738, recall: 0.8341, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.8527, scimark_benchmark: 1449.4352, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.819, kappa: 0.4106, kb_relative_information_score: 474.7247, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.819, predictive_accuracy: 0.8348, prior_entropy: 0.738, recall: 0.8348, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.8697, scimark_benchmark: 1320.9366, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, f_measure: 0.7738, kappa: 0.2899, kb_relative_information_score: 246.4006, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7686, predictive_accuracy: 0.7805, prior_entropy: 0.738, recall: 0.7805, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9859, scimark_benchmark: 923.988, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.5388, kappa: 0.1597, kb_relative_information_score: -1990.2247, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7938, predictive_accuracy: 0.5064, prior_entropy: 0.738, recall: 0.5064, relative_absolute_error: 1.5031, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.7026, root_relative_squared_error: 1.7372, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8027, kappa: 0.411, kb_relative_information_score: 548.845, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8081, predictive_accuracy: 0.7985, prior_entropy: 0.738, recall: 0.7985, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.9813, scimark_benchmark: 1262.9237, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.8071, kappa: 0.4057, kb_relative_information_score: 641.9169, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8057, predictive_accuracy: 0.8086, prior_entropy: 0.738, recall: 0.8086, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.9659, scimark_benchmark: 854.5188, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8096, kappa: 0.4021, kb_relative_information_score: 184.1505, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8058, predictive_accuracy: 0.8154, prior_entropy: 0.738, recall: 0.8154, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8963, scimark_benchmark: 1327.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.8207, kappa: 0.4149, kb_relative_information_score: 475.5335, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8222, predictive_accuracy: 0.8375, prior_entropy: 0.738, recall: 0.8375, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.8682, scimark_benchmark: 1264.0609, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7165, kappa: 0.0425, kb_relative_information_score: 281.1604, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7425, predictive_accuracy: 0.7948, prior_entropy: 0.738, recall: 0.7948, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9033, scimark_benchmark: 1342.3004, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.712, kappa: 0.0286, kb_relative_information_score: 280.4619, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7444, predictive_accuracy: 0.7948, prior_entropy: 0.738, recall: 0.7948, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9032, scimark_benchmark: 854.6529, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7081, kappa: 0.0163, kb_relative_information_score: 273.2373, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.752, predictive_accuracy: 0.7948, prior_entropy: 0.738, recall: 0.7948, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9046, scimark_benchmark: 1352.2099, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8096, kappa: 0.4021, kb_relative_information_score: 184.1505, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8058, predictive_accuracy: 0.8154, prior_entropy: 0.738, recall: 0.8154, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8963, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.8079, kappa: 0.3886, kb_relative_information_score: 436.5849, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8033, predictive_accuracy: 0.8172, prior_entropy: 0.738, recall: 0.8172, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.8992, scimark_benchmark: 916.6405, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8096, kappa: 0.4021, kb_relative_information_score: 184.1505, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8058, predictive_accuracy: 0.8154, prior_entropy: 0.738, recall: 0.8154, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8963, scimark_benchmark: 1345.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.8305, kappa: 0.5024, kb_relative_information_score: 854.8015, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8397, predictive_accuracy: 0.8247, prior_entropy: 0.738, recall: 0.8247, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.9335, scimark_benchmark: 1337.3264, usercpu_time_millis: 1380, usercpu_time_millis_testing: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.8168, kappa: 0.4281, kb_relative_information_score: 970.1584, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8137, predictive_accuracy: 0.821, prior_entropy: 0.738, recall: 0.821, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.0462, scimark_benchmark: 1301.1661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8096, kappa: 0.4021, kb_relative_information_score: 184.1505, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8058, predictive_accuracy: 0.8154, prior_entropy: 0.738, recall: 0.8154, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8963, scimark_benchmark: 1327.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7973, kappa: 0.3706, kb_relative_information_score: 479.5627, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7945, predictive_accuracy: 0.8007, prior_entropy: 0.738, recall: 0.8007, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.385, root_relative_squared_error: 0.9518, scimark_benchmark: 1347.993,

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