OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, build_cpu_time: 0.0027, build_memory: 1206044870.2798, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.7534, build_memory: 2656054499.3319, f_measure: 0.9609, kappa: 0.9129, kb_relative_information_score: 521.5625, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9625, predictive_accuracy: 0.9614, prior_entropy: 0.9312, recall: 0.9614, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5781, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 1.4737, build_memory: 1727914874.4969, f_measure: 0.9695, kappa: 0.9321, kb_relative_information_score: 523.7752, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9705, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.575, scimark_benchmark: 940.0535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 3.2833, build_memory: 836483666.7056, f_measure: 0.9727, kappa: 0.9393, kb_relative_information_score: 525.6527, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9733, predictive_accuracy: 0.9729, prior_entropy: 0.9312, recall: 0.9729, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5732, scimark_benchmark: 805.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 3.0916, build_memory: 952666482.8476, f_measure: 0.9727, kappa: 0.9393, kb_relative_information_score: 525.6527, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9733, predictive_accuracy: 0.9729, prior_entropy: 0.9312, recall: 0.9729, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5732, scimark_benchmark: 940.5606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 6.7676, build_memory: 1217669689.3779, f_measure: 0.9716, kappa: 0.9368, kb_relative_information_score: 525.0248, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9724, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5735, scimark_benchmark: 924.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 17.8693, build_memory: 2245069911.5324, f_measure: 0.9727, kappa: 0.9392, kb_relative_information_score: 525.7786, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9734, predictive_accuracy: 0.9729, prior_entropy: 0.9312, recall: 0.9729, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5725, scimark_benchmark: 943.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.0901, build_memory: 1724151651.5407, f_measure: 0.9673, kappa: 0.9272, kb_relative_information_score: 556.0166, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9687, predictive_accuracy: 0.9676, prior_entropy: 0.9312, recall: 0.9676, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5473, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.0809, build_memory: 2875867334.5971, f_measure: 0.9673, kappa: 0.9272, kb_relative_information_score: 556.0166, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9687, predictive_accuracy: 0.9676, prior_entropy: 0.9312, recall: 0.9676, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5473, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.1059, build_memory: 85385142.5887, f_measure: 0.9673, kappa: 0.9272, kb_relative_information_score: 556.0166, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9687, predictive_accuracy: 0.9676, prior_entropy: 0.9312, recall: 0.9676, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5473, scimark_benchmark: 941.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, build_cpu_time: 0.0628, build_memory: 1280916343.215, f_measure: 0.9085, kappa: 0.7944, kb_relative_information_score: 526.8957, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9166, predictive_accuracy: 0.9113, prior_entropy: 0.9312, recall: 0.9113, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.5994, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, build_cpu_time: 0.1112, build_memory: 852073730.1962, f_measure: 0.9216, kappa: 0.8239, kb_relative_information_score: 534.4151, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9291, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5882, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, build_cpu_time: 0.1156, build_memory: 2153398880.0334, f_measure: 0.9216, kappa: 0.8239, kb_relative_information_score: 534.4151, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9291, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5882, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 0.1872, build_memory: 767405813.9457, f_measure: 0.926, kappa: 0.8338, kb_relative_information_score: 538.3692, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9331, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.5819, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, build_cpu_time: 0.3604, build_memory: 151525505.2443, f_measure: 0.9291, kappa: 0.8407, kb_relative_information_score: 541.4809, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9372, predictive_accuracy: 0.9311, prior_entropy: 0.9312, recall: 0.9311, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5771, scimark_benchmark: 933.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 23.127, build_memory: 2059944978.5887, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 938.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 11.6958, build_memory: 951943147.7662, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 6.7007, build_memory: 135593218.881, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 945.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 6.687, build_memory: 242938597.9791, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 928.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 3.3909, build_memory: 2582362228.8267, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 1.5267, build_memory: 709241214.8727, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 1.0679, build_memory: 448851223.5491, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 935.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, build_cpu_time: 0.0006, build_memory: 117362659.9916, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, build_cpu_time: 0.0007, build_memory: 113572450.6221, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, build_cpu_time: 0.0001, build_memory: 506943920.7349, f_measure: 0.5165, kb_relative_information_score: -0.1639, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, build_cpu_time: 0.0047, build_memory: 500138550.1628, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, build_cpu_time: 0.0004, build_memory: 822812736.5679, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, build_cpu_time: 0.0126, build_memory: 55027149.0856, f_measure: 0.7172, kappa: 0.3603, kb_relative_information_score: 256.2906, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7267, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8633, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, build_cpu_time: 0.012, build_memory: 226238727.3737, f_measure: 0.7172, kappa: 0.3603, kb_relative_information_score: 256.2906, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7267, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8633, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 0.0305, build_memory: 1431228130.4969, f_measure: 0.9034, kappa: 0.7831, kb_relative_information_score: 519.7713, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9098, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6152, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, build_cpu_time: 0.0005, build_memory: 287993989.1608, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, build_cpu_time: 0.0005, build_memory: 294223066.3883, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, build_cpu_time: 0.0005, build_memory: 204495036.4259, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 0.042, build_memory: 671796960.5679, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 900.5583, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.262, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 0.1254, build_memory: 156254374.3215, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 0.2107, build_memory: 877065532.4509, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 937.4673,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, build_cpu_time: 0.1068, build_memory: 294144709.5866, f_measure: 0.8545, kappa: 0.6714, kb_relative_information_score: 477.6117, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8689, predictive_accuracy: 0.8612, prior_entropy: 0.9312, recall: 0.8612, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6645, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 0.0051, build_memory: 82325717.2944, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 947.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.6349, build_memory: 158227571.357, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 947.302, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.1352, scimark_benchmark: 939.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 0.2401, build_memory: 1128102941.8622, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.052, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1626, scimark_benchmark: 916.3022,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 0.0625, build_memory: 741929786.714, f_measure: 0.9874, kappa: 0.9722, kb_relative_information_score: 920.5141, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2145, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.0334, build_memory: 64861074.2965, f_measure: 0.9549, kappa: 0.9001, kb_relative_information_score: 836.6424, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3874, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 1.6551, build_memory: 136497018.4468, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 900.882, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.128, root_relative_squared_error: 0.269, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 3.114, build_memory: 1479633306.0209, f_measure: 0.9801, kappa: 0.9558, kb_relative_information_score: 900.7017, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 0.9312, recall: 0.9802, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.2724, scimark_benchmark: 916.3022,

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