OpenML
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 1767 Supervised Classification kr-vs-kp 356 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

356 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 142.7946, build_memory: 1013952688.8, f_measure: 0.9932, kappa: 0.9865, kb_relative_information_score: 15763.3334, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 0.9986, recall: 0.9932, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.1632, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 614.2529, build_memory: 160732706.4, f_measure: 0.9937, kappa: 0.9873, kb_relative_information_score: 15777.7356, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.1586, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 1213.7535, build_memory: 2114026832.8, f_measure: 0.994, kappa: 0.988, kb_relative_information_score: 15788.8407, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.9986, recall: 0.994, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.1539, scimark_benchmark: 936.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 1594.1392, build_memory: 88755917.6, f_measure: 0.9907, kappa: 0.9814, kb_relative_information_score: 15685.0211, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 0.9986, recall: 0.9907, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.1869, scimark_benchmark: 934.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 899.4725, build_memory: 55844922.4, f_measure: 0.9891, kappa: 0.9782, kb_relative_information_score: 15621.3056, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.9986, recall: 0.9891, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.1944, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 397.1089, build_memory: 38902528, f_measure: 0.9864, kappa: 0.9726, kb_relative_information_score: 15452.3221, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9864, predictive_accuracy: 0.9864, prior_entropy: 0.9986, recall: 0.9864, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2142, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 204.7163, build_memory: 324885149.6, f_measure: 0.9748, kappa: 0.9496, kb_relative_information_score: 14879.0883, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9749, predictive_accuracy: 0.9748, prior_entropy: 0.9986, recall: 0.9748, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.2828, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 101.1416, build_memory: 19241624.8, f_measure: 0.9493, kappa: 0.8984, kb_relative_information_score: 13581.5624, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.9986, recall: 0.9494, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.3913, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.3108, build_memory: 716287368, f_measure: 0.9502, kappa: 0.9001, kb_relative_information_score: 14102.2922, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.9986, recall: 0.9502, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.3874, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.2836, build_memory: 629689911.2, f_measure: 0.9502, kappa: 0.9001, kb_relative_information_score: 14102.2922, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.9986, recall: 0.9502, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.3874, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.3019, build_memory: 332505759.2, f_measure: 0.9499, kappa: 0.8995, kb_relative_information_score: 14096.7974, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9986, recall: 0.9499, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3877, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, build_cpu_time: 0.2512, build_memory: 640381316.8, f_measure: 0.9486, kappa: 0.8969, kb_relative_information_score: 14045.5049, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9486, predictive_accuracy: 0.9486, prior_entropy: 0.9986, recall: 0.9486, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.3916, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, build_cpu_time: 0.1191, build_memory: 517970536, f_measure: 0.9392, kappa: 0.878, kb_relative_information_score: 13392.8365, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9392, predictive_accuracy: 0.9392, prior_entropy: 0.9986, recall: 0.9392, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4368, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, build_cpu_time: 0.0242, build_memory: 307972069.6, f_measure: 0.925, kappa: 0.8497, kb_relative_information_score: 10680.7542, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9986, recall: 0.925, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5243, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, build_cpu_time: 0.0888, build_memory: 1343521761.6, f_measure: 0.9433, kappa: 0.8864, kb_relative_information_score: 12200.024, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9436, predictive_accuracy: 0.9434, prior_entropy: 0.9986, recall: 0.9434, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4416, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 0.1032, build_memory: 1397143752.8, f_measure: 0.9467, kappa: 0.8932, kb_relative_information_score: 13155.999, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.947, predictive_accuracy: 0.9467, prior_entropy: 0.9986, recall: 0.9467, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.3999, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, build_cpu_time: 0.2177, build_memory: 233507282.4, f_measure: 0.9538, kappa: 0.9074, kb_relative_information_score: 13737.2925, mean_absolute_error: 0.0766, 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: 0.1535, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3694, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, build_cpu_time: 0.3284, build_memory: 100824721.6, f_measure: 0.9584, kappa: 0.9166, kb_relative_information_score: 14007.7434, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9584, predictive_accuracy: 0.9584, prior_entropy: 0.9986, recall: 0.9584, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.355, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.4138, build_memory: 609688601.6, 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: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.4442, build_memory: 659022327.2, 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: 942.3945,
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,
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: 0.4175, 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: 0.9521, 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: 0.9521, 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: 0.0112, 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: 0.0121, 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: 0.0095, 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: 0.9957, 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: 0.9963, 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: 0.9973, 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: 0.9981, 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: 0.9984, 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: 0.9953, 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: 0.9959, 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: 0.9964, 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: 0.9965, 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: 0.9966, 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: 0.9955, 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: 0.4997, 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: 0.8717, 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: 0.6732, 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: 0.9689, 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: 0.9946, 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: 0.5762, 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: 0.9635, 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: 0.9952, 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: 0.9963, 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: 0.935, 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: 0.9929, 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: 0.9982, 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: 0.964, 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: 0.9946, 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: 0.9505, 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: 0.9146, 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: 0.8334, 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: 0.641, f_measure: 0.6421, kappa: 0.2824, kb_relative_information_score: 4517.392, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.642, predictive_accuracy: 0.6424, prior_entropy: 0.9986, recall: 0.6424, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.598, root_relative_squared_error: 1.1972, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9404, kappa: 0.8805, kb_relative_information_score: 11697.9549, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9416, predictive_accuracy: 0.9405, prior_entropy: 0.9986, recall: 0.9405, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4796, scimark_benchmark: 854.5188, usercpu_time_millis: 2390, usercpu_time_millis_testing: 2390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9404, kappa: 0.8805, kb_relative_information_score: 11697.9549, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9416, predictive_accuracy: 0.9405, prior_entropy: 0.9986, recall: 0.9405, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4796, scimark_benchmark: 1363.454, usercpu_time_millis: 1880, usercpu_time_millis_testing: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9376, kappa: 0.875, kb_relative_information_score: 10860.1816, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9394, predictive_accuracy: 0.9378, prior_entropy: 0.9986, recall: 0.9378, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.5094, scimark_benchmark: 924.3698, usercpu_time_millis: 2370, usercpu_time_millis_testing: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9298, kappa: 0.8594, kb_relative_information_score: 10467.5457, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9319, predictive_accuracy: 0.93, prior_entropy: 0.9986, recall: 0.93, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5371, scimark_benchmark: 933.3136, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9434, kappa: 0.8865, kb_relative_information_score: 11894.0675, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9437, predictive_accuracy: 0.9434, prior_entropy: 0.9986, recall: 0.9434, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.4602, scimark_benchmark: 939.5088, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 12967.1986, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9425, predictive_accuracy: 0.9417, prior_entropy: 0.9986, recall: 0.9417, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.41, scimark_benchmark: 1304.9611, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9498, kappa: 0.8994, kb_relative_information_score: 13491.6038, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 0.9986, recall: 0.9499, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3844, scimark_benchmark: 932.0242, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9531, kappa: 0.906, kb_relative_information_score: 13895.3406, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9533, predictive_accuracy: 0.9531, prior_entropy: 0.9986, recall: 0.9531, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.3619, scimark_benchmark: 918.6005, usercpu_time_millis: 800, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9407, kappa: 0.8811, kb_relative_information_score: 12951.1091, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9421, predictive_accuracy: 0.9408, prior_entropy: 0.9986, recall: 0.9408, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.4607, scimark_benchmark: 869.6028, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 11301.7537, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4838, scimark_benchmark: 895.5332, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9541, kappa: 0.9079, kb_relative_information_score: 13492.9798, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9986, recall: 0.9541, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3661, scimark_benchmark: 938.9967, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9522, kappa: 0.9042, kb_relative_information_score: 8562.4927, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9527, predictive_accuracy: 0.9523, prior_entropy: 0.9986, recall: 0.9523, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5895, scimark_benchmark: 860.584, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9593, kappa: 0.9185, kb_relative_information_score: 8482.3725, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9602, predictive_accuracy: 0.9594, prior_entropy: 0.9986, recall: 0.9594, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5875, scimark_benchmark: 1330.0694, usercpu_time_millis: 610, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9671, kappa: 0.9339, kb_relative_information_score: 8546.7002, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9675, predictive_accuracy: 0.9671, prior_entropy: 0.9986, recall: 0.9671, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5807, scimark_benchmark: 932.0242, usercpu_time_millis: 1490, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 935.5075, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9911, kappa: 0.9822, kb_relative_information_score: 15695.162, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 0.9986, recall: 0.9911, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1887, scimark_benchmark: 1324.8395, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.6022, kappa: 0.2338, kb_relative_information_score: 2644.5729, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.6462, predictive_accuracy: 0.625, prior_entropy: 0.9986, recall: 0.625, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.588, root_relative_squared_error: 1.1772, scimark_benchmark: 938.343, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 3384.2855, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.892, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9875, kappa: 0.975, kb_relative_information_score: 15496.5924, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.9986, recall: 0.9875, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.2054, scimark_benchmark: 1339.4189, usercpu_time_millis: 890, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9861, kappa: 0.9722, kb_relative_information_score: 15343.5331, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9986, recall: 0.9861, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2313, scimark_benchmark: 825.5282, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.4004, kappa: 0.042, kb_relative_information_score: 19.657, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.7469, predictive_accuracy: 0.5414, prior_entropy: 0.9986, recall: 0.5414, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9981, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6605, kappa: 0.3402, kb_relative_information_score: 5281.564, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.6881, predictive_accuracy: 0.6662, prior_entropy: 0.9986, recall: 0.6662, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5777, root_relative_squared_error: 1.1566, scimark_benchmark: 906.4475, usercpu_time_millis: 1310, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8743, kappa: 0.7482, kb_relative_information_score: 3590.1407, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8744, predictive_accuracy: 0.8743, prior_entropy: 0.9986, recall: 0.8743, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8754, scimark_benchmark: 929.0363, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9687, kappa: 0.9373, kb_relative_information_score: 14977.1211, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 0.9986, recall: 0.9687, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3541, scimark_benchmark: 918.6005, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, 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: 918.6005, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8708, kappa: 0.741, kb_relative_information_score: 9682.8257, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.871, predictive_accuracy: 0.8709, prior_entropy: 0.9986, recall: 0.8709, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6127, scimark_benchmark: 1332.4146, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 15123.0184, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9986, recall: 0.9854, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2199, scimark_benchmark: 1316.7863, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 15135.7133, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2152, scimark_benchmark: 1327.4647, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9864, kappa: 0.9728, kb_relative_information_score: 15139.8462, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9864, predictive_accuracy: 0.9864, prior_entropy: 0.9986, recall: 0.9864, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2139, scimark_benchmark: 1313.9606, usercpu_time_millis: 1090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9861, kappa: 0.9722, kb_relative_information_score: 15127.9952, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9986, recall: 0.9861, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.214, scimark_benchmark: 1331.0755, usercpu_time_millis: 1420, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.986, kappa: 0.972, kb_relative_information_score: 15128.4399, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9861, predictive_accuracy: 0.986, prior_entropy: 0.9986, recall: 0.986, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2144, scimark_benchmark: 1345.0332, usercpu_time_millis: 3140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9891, kappa: 0.9782, kb_relative_information_score: 15612.1307, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9986, recall: 0.9891, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.1795, scimark_benchmark: 1283.2145, usercpu_time_millis: 990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9621, kappa: 0.9241, kb_relative_information_score: 13179.145, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9986, recall: 0.9621, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3745, scimark_benchmark: 918.6005, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9621, kappa: 0.9241, kb_relative_information_score: 13179.145, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9986, recall: 0.9621, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3745, scimark_benchmark: 1345.1228, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9641, kappa: 0.9281, kb_relative_information_score: 13328.1889, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 0.9986, recall: 0.9641, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3641, scimark_benchmark: 1264.6103, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.7225, kappa: 0.4817, kb_relative_information_score: 4972.4865, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8119, predictive_accuracy: 0.7358, prior_entropy: 0.9986, recall: 0.7358, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8077, scimark_benchmark: 1367.8403, usercpu_time_millis: 18780, usercpu_time_millis_testing: 18780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.96, kappa: 0.9199, kb_relative_information_score: 13409.7916, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9601, predictive_accuracy: 0.96, prior_entropy: 0.9986, recall: 0.96, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3732, scimark_benchmark: 1344.7246, usercpu_time_millis: 1149050, usercpu_time_millis_testing: 1149040, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.9396, kb_relative_information_score: 14611.4638, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.9986, recall: 0.9698, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3147, scimark_benchmark: 1347.7065, usercpu_time_millis: 51790, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 50630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9707, kappa: 0.9413, kb_relative_information_score: 14687.6695, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 0.9986, recall: 0.9707, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3125, scimark_benchmark: 1333.5799, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9469, kappa: 0.8937, kb_relative_information_score: 11341.2072, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9469, predictive_accuracy: 0.9469, prior_entropy: 0.9986, recall: 0.9469, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4601, scimark_benchmark: 932.0242, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8704, kappa: 0.7401, kb_relative_information_score: 9642.9791, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8705, predictive_accuracy: 0.8705, prior_entropy: 0.9986, recall: 0.8705, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6137, scimark_benchmark: 1413.089, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8704, kappa: 0.7401, kb_relative_information_score: 9642.9791, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8705, predictive_accuracy: 0.8705, prior_entropy: 0.9986, recall: 0.8705, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6137, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs