Task
Supervised Classification on page-blocks

Supervised Classification on page-blocks

Task 1794 Supervised Classification page-blocks 313 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, build_cpu_time: 0.9733, build_memory: 123008362.1619, f_measure: 0.9705, kappa: 0.8439, kb_relative_information_score: 21313.1668, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9702, predictive_accuracy: 0.9713, prior_entropy: 0.6391, recall: 0.9713, relative_absolute_error: 0.2176, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.4838, scimark_benchmark: 945.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, build_cpu_time: 1.9181, build_memory: 1527822674.3075, f_measure: 0.9713, kappa: 0.849, kb_relative_information_score: 21348.2799, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9711, predictive_accuracy: 0.9721, prior_entropy: 0.6391, recall: 0.9721, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.4805, scimark_benchmark: 930.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, build_cpu_time: 2.1795, build_memory: 117684532.6339, f_measure: 0.9713, kappa: 0.849, kb_relative_information_score: 21348.2799, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9711, predictive_accuracy: 0.9721, prior_entropy: 0.6391, recall: 0.9721, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.4805, scimark_benchmark: 920.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, build_cpu_time: 3.7674, build_memory: 138083361.9143, f_measure: 0.9708, kappa: 0.8464, kb_relative_information_score: 21366.2852, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9706, predictive_accuracy: 0.9716, prior_entropy: 0.6391, recall: 0.9716, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.4796, scimark_benchmark: 942.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, build_cpu_time: 3.8767, build_memory: 163195350.6532, f_measure: 0.9708, kappa: 0.8464, kb_relative_information_score: 21366.2852, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9706, predictive_accuracy: 0.9716, prior_entropy: 0.6391, recall: 0.9716, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.4796, scimark_benchmark: 926.2312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, build_cpu_time: 41.5876, build_memory: 203160930.577, f_measure: 0.9701, kappa: 0.842, kb_relative_information_score: 21162.0594, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9702, predictive_accuracy: 0.9715, prior_entropy: 0.6391, recall: 0.9715, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.4785, scimark_benchmark: 934.3527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, build_cpu_time: 19.591, build_memory: 3205709843.3988, f_measure: 0.9703, kappa: 0.8434, kb_relative_information_score: 21161.1446, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9704, predictive_accuracy: 0.9717, prior_entropy: 0.6391, recall: 0.9717, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.4791, scimark_benchmark: 942.4645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 1466.0785, build_memory: 1800905172.0905, f_measure: 0.9736, kappa: 0.8613, kb_relative_information_score: 21391.6828, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9734, predictive_accuracy: 0.974, prior_entropy: 0.6391, recall: 0.974, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.4681, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 690.5099, build_memory: 1702204131.6718, f_measure: 0.9733, kappa: 0.8597, kb_relative_information_score: 21396.8811, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9731, predictive_accuracy: 0.9738, prior_entropy: 0.6391, recall: 0.9738, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.4689, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 349.4865, build_memory: 106519764.3027, f_measure: 0.9735, kappa: 0.8603, kb_relative_information_score: 21410.5322, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9732, predictive_accuracy: 0.9739, prior_entropy: 0.6391, recall: 0.9739, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.469, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, build_cpu_time: 240.0791, build_memory: 102357983.0008, f_measure: 0.9729, kappa: 0.8572, kb_relative_information_score: 21335.1712, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9726, predictive_accuracy: 0.9734, prior_entropy: 0.6391, recall: 0.9734, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.473, scimark_benchmark: 1228.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 89.8166, build_memory: 1222756914.9857, f_measure: 0.9719, kappa: 0.8517, kb_relative_information_score: 21318.2785, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9716, predictive_accuracy: 0.9724, prior_entropy: 0.6391, recall: 0.9724, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.4795, scimark_benchmark: 998.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, build_cpu_time: 0.007, build_memory: 1477755851.8341, f_measure: 0.9125, kappa: 0.5814, kb_relative_information_score: 10146.4407, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9154, predictive_accuracy: 0.9317, prior_entropy: 0.6391, recall: 0.9317, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.7915, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, build_cpu_time: 0.0122, build_memory: 523113035.8329, f_measure: 0.9128, kappa: 0.5829, kb_relative_information_score: 10183.8463, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9157, predictive_accuracy: 0.9321, prior_entropy: 0.6391, recall: 0.9321, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.7911, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, build_cpu_time: 0.0273, build_memory: 1583812797.3546, f_measure: 0.9124, kappa: 0.581, kb_relative_information_score: 10155.7602, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9154, predictive_accuracy: 0.9317, prior_entropy: 0.6391, recall: 0.9317, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.7912, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 0.049, build_memory: 1854546343.5802, f_measure: 0.9124, kappa: 0.5813, kb_relative_information_score: 10183.4896, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9154, predictive_accuracy: 0.9317, prior_entropy: 0.6391, recall: 0.9317, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.791, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 0.08, build_memory: 1032358962.8053, f_measure: 0.9124, kappa: 0.5813, kb_relative_information_score: 10185.6292, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8944, predictive_accuracy: 0.9317, prior_entropy: 0.6391, recall: 0.9317, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.791, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, build_cpu_time: 1229.5942, build_memory: 830788542.0094, f_measure: 0.9629, kappa: 0.8042, kb_relative_information_score: 19534.9376, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9639, predictive_accuracy: 0.9656, prior_entropy: 0.6391, recall: 0.9656, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5315, scimark_benchmark: 941.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, build_cpu_time: 468.7046, build_memory: 509383802.9191, f_measure: 0.9629, kappa: 0.804, kb_relative_information_score: 19512.1875, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9635, predictive_accuracy: 0.9656, prior_entropy: 0.6391, recall: 0.9656, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.5326, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, build_cpu_time: 0.8939, build_memory: 790355069.4022, f_measure: 0.9209, kappa: 0.5913, kb_relative_information_score: 9100.9462, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9374, predictive_accuracy: 0.9117, prior_entropy: 0.6391, recall: 0.9117, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.8479, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 1.3588, build_memory: 179932478.5006, f_measure: 0.9717, kappa: 0.85, kb_relative_information_score: 20682.914, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9714, predictive_accuracy: 0.9725, prior_entropy: 0.6391, recall: 0.9725, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.4856, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, build_cpu_time: 0.4612, build_memory: 520536746.1154, f_measure: 0.9281, kappa: 0.6376, kb_relative_information_score: 16068.8559, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9224, predictive_accuracy: 0.9363, prior_entropy: 0.6391, recall: 0.9363, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.7428, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, build_cpu_time: 4.9192, build_memory: 399664543.2086, f_measure: 0.9728, kappa: 0.8564, kb_relative_information_score: 21018.8911, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9726, predictive_accuracy: 0.9737, prior_entropy: 0.6391, recall: 0.9737, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.4731, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 0.2168, build_memory: 348836315.0518, f_measure: 0.9283, kappa: 0.6385, kb_relative_information_score: 15888.8258, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9236, predictive_accuracy: 0.9365, prior_entropy: 0.6391, recall: 0.9365, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.7469, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, build_cpu_time: 9.4074, build_memory: 418106850.3677, f_measure: 0.9735, kappa: 0.8598, kb_relative_information_score: 21075.0157, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9733, predictive_accuracy: 0.9743, prior_entropy: 0.6391, recall: 0.9743, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.4702, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, build_cpu_time: 9.2453, build_memory: 685055666.931, f_measure: 0.9735, kappa: 0.8598, kb_relative_information_score: 21075.0157, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9733, predictive_accuracy: 0.9743, prior_entropy: 0.6391, recall: 0.9743, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.4702, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, build_cpu_time: 0.1757, build_memory: 689777958.3927, f_measure: 0.9283, kappa: 0.6388, kb_relative_information_score: 15891.85, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9229, predictive_accuracy: 0.9371, prior_entropy: 0.6391, recall: 0.9371, relative_absolute_error: 0.3475, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.7457, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, build_cpu_time: 0.0842, build_memory: 938628386.7507, f_measure: 0.9277, kappa: 0.6356, kb_relative_information_score: 15325.6102, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9221, predictive_accuracy: 0.9363, prior_entropy: 0.6391, recall: 0.9363, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.7616, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, build_cpu_time: 11.1581, build_memory: 458081941.8524, f_measure: 0.971, kappa: 0.8463, kb_relative_information_score: 20920.025, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9708, predictive_accuracy: 0.972, prior_entropy: 0.6391, recall: 0.972, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.4799, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 16.0718, build_memory: 1786336007.658, f_measure: 0.9714, kappa: 0.849, kb_relative_information_score: 20953.4564, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9713, predictive_accuracy: 0.9725, prior_entropy: 0.6391, recall: 0.9725, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.4766, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 32.6968, build_memory: 602360604.5995, f_measure: 0.9719, kappa: 0.8515, kb_relative_information_score: 20927.2596, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9718, predictive_accuracy: 0.973, prior_entropy: 0.6391, recall: 0.973, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.4765, scimark_benchmark: 898.8066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 69.336, build_memory: 2057422063.2075, f_measure: 0.9721, kappa: 0.8529, kb_relative_information_score: 20932.6214, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.972, predictive_accuracy: 0.9732, prior_entropy: 0.6391, recall: 0.9732, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.476, scimark_benchmark: 945.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 2.0913, build_memory: 924992411.1655, f_measure: 0.972, kappa: 0.8519, kb_relative_information_score: 21176.1112, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9718, predictive_accuracy: 0.9728, prior_entropy: 0.6391, recall: 0.9728, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.4757, scimark_benchmark: 944.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, build_cpu_time: 0.5944, build_memory: 751761037.3616, f_measure: 0.9716, kappa: 0.8495, kb_relative_information_score: 21089.4789, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9713, predictive_accuracy: 0.9723, prior_entropy: 0.6391, recall: 0.9723, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.4808, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 0.2921, build_memory: 414203386.8524, f_measure: 0.9701, kappa: 0.8409, kb_relative_information_score: 21037.9052, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9697, predictive_accuracy: 0.971, prior_entropy: 0.6391, recall: 0.971, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4862, scimark_benchmark: 943.4766,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, build_cpu_time: 190.2845, build_memory: 686677419.6306, f_measure: 0.9545, kappa: 0.7556, kb_relative_information_score: 18572.8677, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9539, predictive_accuracy: 0.9555, prior_entropy: 0.6391, recall: 0.9555, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.6834, scimark_benchmark: 939.0159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, build_cpu_time: 36.4297, build_memory: 349432259.3628, f_measure: 0.9701, kappa: 0.8412, kb_relative_information_score: 21775.3132, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9697, predictive_accuracy: 0.9706, prior_entropy: 0.6391, recall: 0.9706, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.5209, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, build_cpu_time: 21.046, build_memory: 222445644.8705, f_measure: 0.9685, kappa: 0.8325, kb_relative_information_score: 21708.5445, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9681, predictive_accuracy: 0.9691, prior_entropy: 0.6391, recall: 0.9691, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.5204, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 11.6952, build_memory: 161265434.9524, f_measure: 0.9675, kappa: 0.8269, kb_relative_information_score: 21500.7858, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9671, predictive_accuracy: 0.9682, prior_entropy: 0.6391, recall: 0.9682, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.5271, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, build_cpu_time: 6.2354, build_memory: 124437194.4139, f_measure: 0.9654, kappa: 0.816, kb_relative_information_score: 21024.5486, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9649, predictive_accuracy: 0.9663, prior_entropy: 0.6391, recall: 0.9663, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.105, root_relative_squared_error: 0.5391, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, build_cpu_time: 65.4262, build_memory: 1369408539.6169, f_measure: 0.9693, kappa: 0.8376, kb_relative_information_score: 21543.0793, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.969, predictive_accuracy: 0.9697, prior_entropy: 0.6391, recall: 0.9697, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.5476, scimark_benchmark: 874.7324,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, build_cpu_time: 154.7581, build_memory: 2099949886.5213, f_measure: 0.97, kappa: 0.8417, kb_relative_information_score: 21650.0873, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9698, predictive_accuracy: 0.9704, prior_entropy: 0.6391, recall: 0.9704, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.5428, scimark_benchmark: 937.279,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 183.6613, build_memory: 64530680.2099, f_measure: 0.97, kappa: 0.8415, kb_relative_information_score: 21660.1468, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9698, predictive_accuracy: 0.9704, prior_entropy: 0.6391, recall: 0.9704, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.5423, scimark_benchmark: 888.7575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, build_cpu_time: 371.9316, build_memory: 27413150.3646, f_measure: 0.9189, kappa: 0.5863, kb_relative_information_score: 13853.1982, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9296, predictive_accuracy: 0.9343, prior_entropy: 0.6391, recall: 0.9343, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.7063, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, build_cpu_time: 352.069, build_memory: 810193466.0052, f_measure: 0.9189, kappa: 0.5863, kb_relative_information_score: 13853.1982, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9296, predictive_accuracy: 0.9343, prior_entropy: 0.6391, recall: 0.9343, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.7063, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, build_cpu_time: 359.2518, build_memory: 40770268.9076, f_measure: 0.9185, kappa: 0.5854, kb_relative_information_score: 13742.982, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9291, predictive_accuracy: 0.9341, prior_entropy: 0.6391, recall: 0.9341, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.7085, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, build_cpu_time: 0.1909, build_memory: 789909858.5606, f_measure: 0.9153, kappa: 0.5649, kb_relative_information_score: -10463.3312, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9354, predictive_accuracy: 0.9036, prior_entropy: 0.6391, recall: 0.9036, relative_absolute_error: 1.0742, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.9734, scimark_benchmark: 909.5718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, build_cpu_time: 0.1466, build_memory: 687087486.8239, f_measure: 0.9153, kappa: 0.5649, kb_relative_information_score: -10463.3312, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9354, predictive_accuracy: 0.9036, prior_entropy: 0.6391, recall: 0.9036, relative_absolute_error: 1.0742, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.9734, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, build_cpu_time: 0.1585, build_memory: 904683090.6621, f_measure: 0.9153, kappa: 0.5649, kb_relative_information_score: -10463.3312, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9354, predictive_accuracy: 0.9036, prior_entropy: 0.6391, recall: 0.9036, relative_absolute_error: 1.0742, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.9734, scimark_benchmark: 943.2074,

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