OpenML
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 1767 Supervised Classification kr-vs-kp 356 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.8342, kappa: 0.6676, kb_relative_information_score: 10670.8817, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8344, predictive_accuracy: 0.8344, prior_entropy: 0.9986, recall: 0.8344, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8148, scimark_benchmark: 1313.9994, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9149, kappa: 0.8294, kb_relative_information_score: 13252.2185, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9149, predictive_accuracy: 0.9149, prior_entropy: 0.9986, recall: 0.9149, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.584, scimark_benchmark: 882.7843, usercpu_time_millis: 13220, usercpu_time_millis_testing: 1580, usercpu_time_millis_training: 11640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9509, kappa: 0.9015, kb_relative_information_score: 14405.4964, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9986, recall: 0.9509, relative_absolute_error: 0.0984, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4437, scimark_benchmark: 1321.527, usercpu_time_millis: 1350, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9653, kappa: 0.9304, kb_relative_information_score: 14199.1926, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9986, recall: 0.9653, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3294, scimark_benchmark: 1304.9611, usercpu_time_millis: 2330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.964, kappa: 0.9279, kb_relative_information_score: 14826.6936, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 0.9986, recall: 0.964, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3798, scimark_benchmark: 939.449, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9852, kappa: 0.9703, kb_relative_information_score: 14595.4835, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 0.9986, recall: 0.9852, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2422, scimark_benchmark: 1073.494, usercpu_time_millis: 397340, usercpu_time_millis_testing: 2940, usercpu_time_millis_training: 394400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9786, kappa: 0.9571, kb_relative_information_score: 15177.1705, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 0.9986, recall: 0.9786, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2792, scimark_benchmark: 1346.9602, usercpu_time_millis: 11820, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 11750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.9352, kappa: 0.8702, kb_relative_information_score: 13898.2154, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9352, predictive_accuracy: 0.9352, prior_entropy: 0.9986, recall: 0.9352, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5097, scimark_benchmark: 1361.1055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9807, kappa: 0.9612, kb_relative_information_score: 15137.0698, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9807, predictive_accuracy: 0.9807, prior_entropy: 0.9986, recall: 0.9807, relative_absolute_error: 0.0569, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.256, scimark_benchmark: 1319.6463, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9877, kappa: 0.9753, kb_relative_information_score: 15442.8205, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9877, predictive_accuracy: 0.9877, prior_entropy: 0.9986, recall: 0.9877, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2138, scimark_benchmark: 1321.6263, usercpu_time_millis: 1260, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9635, kappa: 0.9268, kb_relative_information_score: 14808.6423, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9635, predictive_accuracy: 0.9635, prior_entropy: 0.9986, recall: 0.9635, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3827, scimark_benchmark: 1315.395, usercpu_time_millis: 910, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.5542, kappa: 0.1558, kb_relative_information_score: 2782.4609, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.6074, predictive_accuracy: 0.5882, prior_entropy: 0.9986, recall: 0.5882, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.2846, scimark_benchmark: 1384.4418, usercpu_time_millis: 460, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9887, kappa: 0.9774, kb_relative_information_score: 15547.423, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.9986, recall: 0.9887, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2051, scimark_benchmark: 1384.4418, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9702, kappa: 0.9402, kb_relative_information_score: 15025.258, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9716, predictive_accuracy: 0.9702, prior_entropy: 0.9986, recall: 0.9702, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3455, scimark_benchmark: 1465.2979, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6717, kappa: 0.3507, kb_relative_information_score: 5720.8124, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.6906, predictive_accuracy: 0.6799, prior_entropy: 0.9986, recall: 0.6799, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5658, root_relative_squared_error: 1.1326, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8687, kappa: 0.7389, kb_relative_information_score: 11778.0285, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8765, predictive_accuracy: 0.8689, prior_entropy: 0.9986, recall: 0.8689, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7249, scimark_benchmark: 1028.5889, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3583, kb_relative_information_score: -0.0661, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1028.5889, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 18.4397, build_memory: 213647837.6, f_measure: 0.9744, kappa: 0.9487, kb_relative_information_score: 15031.2354, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9986, recall: 0.9744, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.2819, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 18.9036, build_memory: 1331731748.8, f_measure: 0.9742, kappa: 0.9482, kb_relative_information_score: 15027.3718, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.9986, recall: 0.9742, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.2826, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 17.2022, build_memory: 158014486.4, f_measure: 0.9739, kappa: 0.9477, kb_relative_information_score: 15008.5353, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.9986, recall: 0.9739, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.142, root_relative_squared_error: 0.2843, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 9.5083, build_memory: 855025028.8, f_measure: 0.9713, kappa: 0.9426, kb_relative_information_score: 14903.2619, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9713, predictive_accuracy: 0.9713, prior_entropy: 0.9986, recall: 0.9713, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.149, root_relative_squared_error: 0.2984, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 4.9992, build_memory: 653103814.4, f_measure: 0.9678, kappa: 0.9355, kb_relative_information_score: 14737.9234, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 0.9986, recall: 0.9678, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3169, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 0.1898, build_memory: 709962585.6, f_measure: 0.9918, kappa: 0.9836, kb_relative_information_score: 15698.2475, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.9986, recall: 0.9918, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.1713, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.3629, build_memory: 551877580.8, f_measure: 0.9929, kappa: 0.9858, kb_relative_information_score: 15751.8626, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.9986, recall: 0.9929, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.1598, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.6935, build_memory: 1095591816, f_measure: 0.9936, kappa: 0.9871, kb_relative_information_score: 15772.0985, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.9986, recall: 0.9936, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.1554, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 1.4052, build_memory: 1313497474.4, f_measure: 0.9939, kappa: 0.9878, kb_relative_information_score: 15781.6763, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.9986, recall: 0.9939, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.1536, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 2.9309, build_memory: 67485409.6, f_measure: 0.9938, kappa: 0.9876, kb_relative_information_score: 15779.4466, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9986, recall: 0.9938, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.1548, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.0095, build_memory: 767181419.2, f_measure: 0.9522, kappa: 0.9043, kb_relative_information_score: 14450.0363, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9523, predictive_accuracy: 0.9523, prior_entropy: 0.9986, recall: 0.9523, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4371, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.0121, build_memory: 1944261885.6, f_measure: 0.9522, kappa: 0.9043, kb_relative_information_score: 14450.0363, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9523, predictive_accuracy: 0.9523, prior_entropy: 0.9986, recall: 0.9523, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4371, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.0112, build_memory: 2187934557.6, f_measure: 0.9522, kappa: 0.9043, kb_relative_information_score: 14450.0363, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9523, predictive_accuracy: 0.9523, prior_entropy: 0.9986, recall: 0.9523, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4371, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.0076, build_memory: 1528833996, f_measure: 0.9522, kappa: 0.9043, kb_relative_information_score: 14450.0363, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9523, predictive_accuracy: 0.9523, prior_entropy: 0.9986, recall: 0.9523, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4371, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.0069, build_memory: 119399935.2, f_measure: 0.9522, kappa: 0.9043, kb_relative_information_score: 14450.0363, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9523, predictive_accuracy: 0.9523, prior_entropy: 0.9986, recall: 0.9523, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4371, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.4175, build_memory: 1747638963.2, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 13967.4936, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2665, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.4881, build_memory: 1801266570.4, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 13967.4936, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2665, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.2609, build_memory: 2500354447.2, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 13967.4936, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2665, scimark_benchmark: 872.1114,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, build_cpu_time: 1.7864, build_memory: 1150204423.2, f_measure: 0.9149, kappa: 0.8294, kb_relative_information_score: 13252.2185, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9149, predictive_accuracy: 0.9149, prior_entropy: 0.9986, recall: 0.9149, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.584, scimark_benchmark: 941.5807,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, build_cpu_time: 0.0064, build_memory: 287592221.6, f_measure: 0.6717, kappa: 0.3507, kb_relative_information_score: 5720.8124, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.6906, predictive_accuracy: 0.6799, prior_entropy: 0.9986, recall: 0.6799, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5658, root_relative_squared_error: 1.1326, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, build_cpu_time: 0.0004, build_memory: 554772886.4, f_measure: 0.3583, kb_relative_information_score: -0.0661, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, build_cpu_time: 2.8919, build_memory: 996642368, f_measure: 0.9659, kappa: 0.9317, kb_relative_information_score: 14761.6419, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.9986, recall: 0.9659, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.3241, scimark_benchmark: 941.7913,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, build_cpu_time: 7.8311, build_memory: 944046258.4, f_measure: 0.9538, kappa: 0.9074, kb_relative_information_score: 14515.561, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 0.9986, recall: 0.9538, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3832, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, build_cpu_time: 16.1845, build_memory: 504259068, f_measure: 0.9532, kappa: 0.9063, kb_relative_information_score: 14507.2996, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9986, recall: 0.9533, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.383, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, build_cpu_time: 29.5366, build_memory: 267889745.6, f_measure: 0.9529, kappa: 0.9057, kb_relative_information_score: 14498.9736, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9529, predictive_accuracy: 0.9529, prior_entropy: 0.9986, recall: 0.9529, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3841, scimark_benchmark: 921.6213,

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