Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3054 Supervised Classification monks-problems-2 352 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.564, kappa: 0.1181, kb_relative_information_score: 25.2803, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7819, predictive_accuracy: 0.6667, prior_entropy: 0.9279, recall: 0.6667, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9274, scimark_benchmark: 1322.3407, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.6224, kappa: 0.1775, kb_relative_information_score: 34.0887, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6189, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9472, scimark_benchmark: 1348.1311, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 1278.9821, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.6543, kappa: 0.2557, kb_relative_information_score: 41.1949, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.704, predictive_accuracy: 0.697, prior_entropy: 0.9279, recall: 0.697, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8762, scimark_benchmark: 918.0213, usercpu_time_millis: 3090, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6392, kappa: 0.2259, kb_relative_information_score: 19.3565, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6914, predictive_accuracy: 0.6869, prior_entropy: 0.9279, recall: 0.6869, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9156, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 1.616, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0018, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 1319.4538, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6392, kappa: 0.2259, kb_relative_information_score: 19.3565, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6914, predictive_accuracy: 0.6869, prior_entropy: 0.9279, recall: 0.6869, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9156, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7132, kappa: 0.3753, kb_relative_information_score: 39.9661, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7442, predictive_accuracy: 0.7374, prior_entropy: 0.9279, recall: 0.7374, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8766, scimark_benchmark: 1337.6765, usercpu_time_millis: 410, usercpu_time_millis_testing: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, build_cpu_time: 122.516, build_memory: 72753224, f_measure: 0.6991, kappa: 0.3422, kb_relative_information_score: 37.6742, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7037, predictive_accuracy: 0.7121, prior_entropy: 0.9279, recall: 0.7121, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8849, scimark_benchmark: 941.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, build_cpu_time: 80.762, build_memory: 38589376, f_measure: 0.7008, kappa: 0.3462, kb_relative_information_score: 38.4217, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7037, predictive_accuracy: 0.7121, prior_entropy: 0.9279, recall: 0.7121, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8779, scimark_benchmark: 987.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, build_cpu_time: 0.006, build_memory: 62285248, f_measure: 0.4886, kb_relative_information_score: 5.3715, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9834, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, build_cpu_time: 35.815, build_memory: 428413576, f_measure: 0.6544, kappa: 0.2452, kb_relative_information_score: 35.7474, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6537, predictive_accuracy: 0.6667, prior_entropy: 0.9279, recall: 0.6667, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8958, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, build_cpu_time: 0.002, build_memory: 1784850064, f_measure: 0.4886, kb_relative_information_score: 4.5319, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9882, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, build_cpu_time: 0.003, build_memory: 1118893048, f_measure: 0.4886, kb_relative_information_score: 4.5319, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9882, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, build_cpu_time: 12.459, build_memory: 431790152, f_measure: 0.6761, kappa: 0.2918, kb_relative_information_score: 41.434, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6807, predictive_accuracy: 0.6919, prior_entropy: 0.9279, recall: 0.6919, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8804, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, build_cpu_time: 0.262, build_memory: 805463880, f_measure: 0.8055, kappa: 0.5781, kb_relative_information_score: 78.6631, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.8057, predictive_accuracy: 0.8081, prior_entropy: 0.9279, recall: 0.8081, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.8113, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, build_cpu_time: 9.137, build_memory: 38632832, f_measure: 0.7172, kappa: 0.3924, kb_relative_information_score: 51.0226, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7172, predictive_accuracy: 0.7172, prior_entropy: 0.9279, recall: 0.7172, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9734, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, build_cpu_time: 0.008, build_memory: 587535992, f_measure: 0.4742, kappa: -0.0805, kb_relative_information_score: 3.0064, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.4218, predictive_accuracy: 0.5859, prior_entropy: 0.9279, recall: 0.5859, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.0087, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, build_cpu_time: 0.087, build_memory: 1945834344, f_measure: 0.6224, kappa: 0.1775, kb_relative_information_score: 34.6724, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6189, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9387, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, build_cpu_time: 0.002, build_memory: 816545840, f_measure: 0.6724, kappa: 0.2894, kb_relative_information_score: 60.6723, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6703, predictive_accuracy: 0.6768, prior_entropy: 0.9279, recall: 0.6768, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.1029, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, build_cpu_time: 0.01, build_memory: 1281050368, f_measure: 0.4742, kappa: -0.0805, kb_relative_information_score: 3.0064, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.4218, predictive_accuracy: 0.5859, prior_entropy: 0.9279, recall: 0.5859, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.0087, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, build_cpu_time: 0.007, build_memory: 542864888, f_measure: 0.4742, kappa: -0.0805, kb_relative_information_score: 3.0064, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.4218, predictive_accuracy: 0.5859, prior_entropy: 0.9279, recall: 0.5859, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.0087, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, build_cpu_time: 0.002, build_memory: 270713880, f_measure: 0.6724, kappa: 0.2894, kb_relative_information_score: 60.6723, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6703, predictive_accuracy: 0.6768, prior_entropy: 0.9279, recall: 0.6768, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.1029, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, build_cpu_time: 0.065, build_memory: 2986388168, f_measure: 0.6224, kappa: 0.1775, kb_relative_information_score: 34.6724, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6189, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9387, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, build_cpu_time: 0.109, build_memory: 2127711200, f_measure: 0.6224, kappa: 0.1775, kb_relative_information_score: 34.6724, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6189, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9387, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, build_cpu_time: 0.011, build_memory: 669720464, f_measure: 0.4742, kappa: -0.0805, kb_relative_information_score: 3.0064, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.4218, predictive_accuracy: 0.5859, prior_entropy: 0.9279, recall: 0.5859, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.0087, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, build_cpu_time: 0.001, build_memory: 494494872, f_measure: 0.6724, kappa: 0.2894, kb_relative_information_score: 60.6723, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6703, predictive_accuracy: 0.6768, prior_entropy: 0.9279, recall: 0.6768, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.1029, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, build_cpu_time: 0.105, build_memory: 1092766512, f_measure: 0.6224, kappa: 0.1775, kb_relative_information_score: 34.6724, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6189, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9387, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, build_cpu_time: 0.064, build_memory: 2255143920, f_measure: 0.6224, kappa: 0.1775, kb_relative_information_score: 34.6724, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6189, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9387, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.4639, kappa: -0.0975, kb_relative_information_score: 2.5726, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3862, predictive_accuracy: 0.5808, prior_entropy: 0.9279, recall: 0.5808, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.485, root_relative_squared_error: 1.004, scimark_benchmark: 1321.9426, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 930.5999, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.5513, kappa: 0.0191, kb_relative_information_score: 6.2031, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.5439, predictive_accuracy: 0.5707, prior_entropy: 0.9279, recall: 0.5707, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6552, root_relative_squared_error: 1.3562, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.4715, kappa: -0.069, kb_relative_information_score: 1.5995, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.39, predictive_accuracy: 0.596, prior_entropy: 0.9279, recall: 0.596, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.0052, scimark_benchmark: 915.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.4613, kappa: -0.1069, kb_relative_information_score: 2.8257, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3849, predictive_accuracy: 0.5758, prior_entropy: 0.9279, recall: 0.5758, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0049, scimark_benchmark: 1287.514, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.005, build_memory: 119464752, f_measure: 0.4886, kb_relative_information_score: 1.616, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0018, scimark_benchmark: 937.2747,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.869, build_memory: 202241408, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 941.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.679, build_memory: 984304360, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, build_cpu_time: 1.727, build_memory: 371687872, f_measure: 0.4886, kb_relative_information_score: 33.8009, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6049, root_relative_squared_error: 1.2522, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.416, build_memory: 1436278448, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6137, build_cpu_time: 0.204, build_memory: 1701174488, f_measure: 0.5498, kappa: 0.0512, kb_relative_information_score: 8.4039, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.5802, predictive_accuracy: 0.6263, prior_entropy: 0.9279, recall: 0.6263, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9895, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, build_cpu_time: 21.634, build_memory: 2594843456, f_measure: 0.7428, kappa: 0.4483, kb_relative_information_score: 87.6255, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7432, predictive_accuracy: 0.7424, prior_entropy: 0.9279, recall: 0.7424, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4902, root_relative_squared_error: 1.0148, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, build_cpu_time: 42.802, build_memory: 210290936, f_measure: 0.7475, kappa: 0.4575, kb_relative_information_score: 87.821, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7475, predictive_accuracy: 0.7475, prior_entropy: 0.9279, recall: 0.7475, relative_absolute_error: 0.5478, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.032, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, build_cpu_time: 7.215, build_memory: 37412920, f_measure: 0.6998, kappa: 0.3635, kb_relative_information_score: 49.6208, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.705, predictive_accuracy: 0.697, prior_entropy: 0.9279, recall: 0.697, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9769, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, build_cpu_time: 0.014, build_memory: 1024807328, f_measure: 0.5671, kappa: 0.083, kb_relative_information_score: 13.5925, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6033, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9841, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, build_cpu_time: 0.014, build_memory: 657880408, f_measure: 0.5671, kappa: 0.083, kb_relative_information_score: 13.5925, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6033, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9841, scimark_benchmark: 945.4151,

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