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Function: require_once

OpenML
Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 233 Supervised Classification kr-vs-kp 346 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
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346 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9477, kappa: 0.8948, kb_relative_information_score: 808.4207, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9484, predictive_accuracy: 0.9478, prior_entropy: 0.9986, recall: 0.9478, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4367, scimark_benchmark: 1324.8395, usercpu_time_millis: 1840, usercpu_time_millis_testing: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.6765, kappa: 0.397, kb_relative_information_score: 396.3899, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.7561, predictive_accuracy: 0.6898, prior_entropy: 0.9986, recall: 0.6898, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.557, root_relative_squared_error: 1.1164, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9668, kappa: 0.9334, kb_relative_information_score: 982.0545, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9986, recall: 0.9668, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3652, scimark_benchmark: 1318.1432, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9156, kappa: 0.8303, kb_relative_information_score: 873.7466, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9156, predictive_accuracy: 0.9156, prior_entropy: 0.9986, recall: 0.9156, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.5824, scimark_benchmark: 1297.6599, usercpu_time_millis: 13700, usercpu_time_millis_testing: 1530, usercpu_time_millis_training: 12170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9497, kappa: 0.899, kb_relative_information_score: 945.9518, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9498, predictive_accuracy: 0.9497, prior_entropy: 0.9986, recall: 0.9497, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4494, scimark_benchmark: 939.449, usercpu_time_millis: 1510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9611, kappa: 0.9218, kb_relative_information_score: 938.4018, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9986, recall: 0.9611, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3322, scimark_benchmark: 938.9967, usercpu_time_millis: 2960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9621, kappa: 0.9238, kb_relative_information_score: 972.026, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9621, predictive_accuracy: 0.962, prior_entropy: 0.9986, recall: 0.962, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.3905, scimark_benchmark: 939.449, usercpu_time_millis: 210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 972.4346, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.226, scimark_benchmark: 1325.942, usercpu_time_millis: 360200, usercpu_time_millis_testing: 2860, usercpu_time_millis_training: 357340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9411, kappa: 0.8814, kb_relative_information_score: 927.9005, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9418, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4861, scimark_benchmark: 1325.2092, usercpu_time_millis: 3130, usercpu_time_millis_testing: 1390, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9801, kappa: 0.9599, kb_relative_information_score: 988.8765, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9803, predictive_accuracy: 0.9801, prior_entropy: 0.9986, recall: 0.9801, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.261, scimark_benchmark: 1315.3881, usercpu_time_millis: 10800, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9896, kappa: 0.979, kb_relative_information_score: 936.3976, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9986, recall: 0.9896, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.2432, scimark_benchmark: 1301.9956, usercpu_time_millis: 520, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9554, kappa: 0.9103, kb_relative_information_score: 959.2921, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9986, recall: 0.9554, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4178, scimark_benchmark: 1319.9043, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9763, kappa: 0.9524, kb_relative_information_score: 1000.7117, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9767, predictive_accuracy: 0.9763, prior_entropy: 0.9986, recall: 0.9763, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.2588, scimark_benchmark: 1319.6463, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 1020.3147, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0331, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2097, scimark_benchmark: 1346.9602, usercpu_time_millis: 1290, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9858, kappa: 0.9714, kb_relative_information_score: 1022.1685, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 0.9986, recall: 0.9858, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.2391, scimark_benchmark: 1315.395, usercpu_time_millis: 860, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.5532, kappa: 0.16, kb_relative_information_score: 203.8426, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.6245, predictive_accuracy: 0.5987, prior_entropy: 0.9986, recall: 0.5987, relative_absolute_error: 0.8052, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6335, root_relative_squared_error: 1.2697, scimark_benchmark: 1368.9272, usercpu_time_millis: 460, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9858, kappa: 0.9714, kb_relative_information_score: 1018.5247, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 0.9986, recall: 0.9858, relative_absolute_error: 0.0331, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.115, root_relative_squared_error: 0.2306, scimark_benchmark: 1341.2341, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9801, kappa: 0.9599, kb_relative_information_score: 1010.1343, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9804, predictive_accuracy: 0.9801, prior_entropy: 0.9986, recall: 0.9801, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.2829, scimark_benchmark: 1466.6185, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.6696, kappa: 0.3373, kb_relative_information_score: 364.2986, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.6764, predictive_accuracy: 0.6746, prior_entropy: 0.9986, recall: 0.6746, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1434, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8395, kappa: 0.6883, kb_relative_information_score: 717.302, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.8789, predictive_accuracy: 0.8416, prior_entropy: 0.9986, recall: 0.8416, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.7978, scimark_benchmark: 1054.3694, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3731, kb_relative_information_score: -1.41, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.2863, predictive_accuracy: 0.5351, prior_entropy: 0.9986, recall: 0.5351, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0004, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 1020.8814, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2091, scimark_benchmark: 1066.833, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 42.656, build_memory: 1390616584, f_measure: 0.9697, kappa: 0.939, kb_relative_information_score: 979.6563, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 0.9986, recall: 0.9696, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.2962, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 45.442, build_memory: 1047942160, f_measure: 0.9697, kappa: 0.939, kb_relative_information_score: 979.6563, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 0.9986, recall: 0.9696, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.2962, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 49.653, build_memory: 1572057448, f_measure: 0.9697, kappa: 0.939, kb_relative_information_score: 979.6563, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 0.9986, recall: 0.9696, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.2962, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 26.296, build_memory: 425237376, f_measure: 0.9687, kappa: 0.9371, kb_relative_information_score: 975.9818, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9986, recall: 0.9687, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.3034, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 9.696, build_memory: 542872408, f_measure: 0.9545, kappa: 0.9086, kb_relative_information_score: 962.1277, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9546, predictive_accuracy: 0.9545, prior_entropy: 0.9986, recall: 0.9545, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3357, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.584, build_memory: 960022752, f_measure: 0.9972, kappa: 0.9943, kb_relative_information_score: 1042.6002, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.1167, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.919, build_memory: 704130968, f_measure: 0.9953, kappa: 0.9905, kb_relative_information_score: 1040.5561, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1363, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 1.058, build_memory: 133595840, f_measure: 0.9924, kappa: 0.9847, kb_relative_information_score: 1036.4545, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.9986, recall: 0.9924, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.1625, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 2.463, build_memory: 845255192, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1037.8104, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.1598, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 2.162, build_memory: 197087328, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1037.5726, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.161, scimark_benchmark: 941.7891,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 0.767, build_memory: 501618664, f_measure: 0.9524, kappa: 0.9043, kb_relative_information_score: 872.8055, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9537, predictive_accuracy: 0.9526, prior_entropy: 0.9986, recall: 0.9526, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4151, scimark_benchmark: 924.6733,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 75.516, build_memory: 3098057856, f_measure: 0.9943, kappa: 0.9886, kb_relative_information_score: 1040.2198, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.9986, recall: 0.9943, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.1512, scimark_benchmark: 937.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 40.25, build_memory: 1510632880, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1038.1955, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0133, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.1633, scimark_benchmark: 902.0906,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 1.514, build_memory: 1177887136, f_measure: 0.9839, kappa: 0.9676, kb_relative_information_score: 1013.7559, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.9986, recall: 0.9839, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2004, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, build_cpu_time: 0.017, build_memory: 88615632, f_measure: 0.9106, kappa: 0.8201, kb_relative_information_score: 698.3796, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 0.9986, recall: 0.9108, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5414, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 0.471, build_memory: 1978922328, f_measure: 0.9896, kappa: 0.979, kb_relative_information_score: 936.3976, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9986, recall: 0.9896, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.2432, scimark_benchmark: 928.1083,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 0.001, build_memory: 1102069232, f_measure: 0.9524, kappa: 0.9043, kb_relative_information_score: 872.8055, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9537, predictive_accuracy: 0.9526, prior_entropy: 0.9986, recall: 0.9526, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4151, scimark_benchmark: 906.631,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, build_cpu_time: 0.79, build_memory: 384110896, f_measure: 0.9497, kappa: 0.899, kb_relative_information_score: 945.9518, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9498, predictive_accuracy: 0.9497, prior_entropy: 0.9986, recall: 0.9497, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4494, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, build_cpu_time: 0.306, build_memory: 77370112, f_measure: 0.9602, kappa: 0.9199, kb_relative_information_score: 968.0146, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.9986, recall: 0.9602, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4001, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 0.18, build_memory: 991287184, f_measure: 0.9687, kappa: 0.9371, kb_relative_information_score: 967.4555, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9986, recall: 0.9687, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3053, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 0.392, build_memory: 1020729952, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 1003.7752, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.2078, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 0.289, build_memory: 590086080, f_measure: 0.9886, kappa: 0.9771, kb_relative_information_score: 1003.7752, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.9986, recall: 0.9886, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.2078, scimark_benchmark: 945.4151,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, build_cpu_time: 0.094, build_memory: 737168872, f_measure: 0.9401, kappa: 0.8794, kb_relative_information_score: 686.489, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.9412, predictive_accuracy: 0.9402, prior_entropy: 0.9986, recall: 0.9402, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.536, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, build_cpu_time: 0.008, build_memory: 791558216, f_measure: 0.6696, kappa: 0.3373, kb_relative_information_score: 364.2986, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.6764, predictive_accuracy: 0.6746, prior_entropy: 0.9986, recall: 0.6746, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1434, scimark_benchmark: 946.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, build_cpu_time: 0.009, build_memory: 460737488, f_measure: 0.6696, kappa: 0.3373, kb_relative_information_score: 364.2986, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.6764, predictive_accuracy: 0.6746, prior_entropy: 0.9986, recall: 0.6746, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1434, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 541430024, f_measure: 0.3731, kb_relative_information_score: -1.41, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4984, number_of_instances: 1054, precision: 0.2863, predictive_accuracy: 0.5351, prior_entropy: 0.9986, recall: 0.5351, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0004, scimark_benchmark: 945.6567,

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