Task
Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 252 Supervised Classification mfeat-zernike 306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, build_cpu_time: 0.035, build_memory: 180768872, f_measure: 0.6495, kappa: 0.6025, kb_relative_information_score: 413.2012, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6627, predictive_accuracy: 0.6424, prior_entropy: 3.3219, recall: 0.6424, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.8914, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, build_cpu_time: 1.276, build_memory: 1473673464, f_measure: 0.7918, kappa: 0.7726, kb_relative_information_score: 476.2863, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7895, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.6069, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, build_cpu_time: 1.615, build_memory: 1352663168, f_measure: 0.7918, kappa: 0.7726, kb_relative_information_score: 476.2863, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7895, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.6069, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, build_cpu_time: 1.192, build_memory: 2846024080, f_measure: 0.7918, kappa: 0.7726, kb_relative_information_score: 476.2863, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7895, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.6069, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, build_cpu_time: 1.927, build_memory: 43509856, f_measure: 0.7918, kappa: 0.7726, kb_relative_information_score: 476.2863, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7895, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.6069, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, build_cpu_time: 1.389, build_memory: 1720348520, f_measure: 0.7918, kappa: 0.7726, kb_relative_information_score: 476.2863, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7895, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.6069, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, build_cpu_time: 0.045, build_memory: 1430051544, f_measure: 0.2646, kappa: 0.1793, kb_relative_information_score: 150.7161, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.272, predictive_accuracy: 0.2621, prior_entropy: 3.3219, recall: 0.2621, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.2805, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, build_cpu_time: 0.04, build_memory: 780833440, f_measure: 0.2646, kappa: 0.1793, kb_relative_information_score: 150.7161, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.272, predictive_accuracy: 0.2621, prior_entropy: 3.3219, recall: 0.2621, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.2805, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, build_cpu_time: 0.025, build_memory: 1105172488, f_measure: 0.2646, kappa: 0.1793, kb_relative_information_score: 150.7161, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.272, predictive_accuracy: 0.2621, prior_entropy: 3.3219, recall: 0.2621, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.2805, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, build_cpu_time: 0.024, build_memory: 315877392, f_measure: 0.2646, kappa: 0.1793, kb_relative_information_score: 150.7161, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.272, predictive_accuracy: 0.2621, prior_entropy: 3.3219, recall: 0.2621, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.2805, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, build_cpu_time: 0.024, build_memory: 951331016, f_measure: 0.2646, kappa: 0.1793, kb_relative_information_score: 150.7161, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.272, predictive_accuracy: 0.2621, prior_entropy: 3.3219, recall: 0.2621, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.2805, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, build_cpu_time: 1.457, build_memory: 1231563392, f_measure: 0.7206, kappa: 0.69, kb_relative_information_score: 295.3945, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7253, predictive_accuracy: 0.7212, prior_entropy: 3.3219, recall: 0.7212, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7889, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, build_cpu_time: 1.45, build_memory: 830145368, f_measure: 0.7206, kappa: 0.69, kb_relative_information_score: 295.3945, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7253, predictive_accuracy: 0.7212, prior_entropy: 3.3219, recall: 0.7212, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7889, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, build_cpu_time: 1.667, build_memory: 1192558728, f_measure: 0.7206, kappa: 0.69, kb_relative_information_score: 295.3945, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7253, predictive_accuracy: 0.7212, prior_entropy: 3.3219, recall: 0.7212, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7889, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, build_cpu_time: 2.031, build_memory: 942246752, f_measure: 0.7206, kappa: 0.69, kb_relative_information_score: 295.3945, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7253, predictive_accuracy: 0.7212, prior_entropy: 3.3219, recall: 0.7212, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7889, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, build_cpu_time: 1.757, build_memory: 415773992, f_measure: 0.7206, kappa: 0.69, kb_relative_information_score: 295.3945, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7253, predictive_accuracy: 0.7212, prior_entropy: 3.3219, recall: 0.7212, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7889, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, build_cpu_time: 81.717, build_memory: 58190528, f_measure: 0.3059, kappa: 0.3547, kb_relative_information_score: 174.7101, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2784, predictive_accuracy: 0.4167, prior_entropy: 3.3219, recall: 0.4167, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.9328, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, build_cpu_time: 78.85, build_memory: 837467768, f_measure: 0.3059, kappa: 0.3547, kb_relative_information_score: 174.7101, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2784, predictive_accuracy: 0.4167, prior_entropy: 3.3219, recall: 0.4167, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.9328, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, build_cpu_time: 75.017, build_memory: 144437240, f_measure: 0.3059, kappa: 0.3547, kb_relative_information_score: 174.7101, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2784, predictive_accuracy: 0.4167, prior_entropy: 3.3219, recall: 0.4167, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.9328, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, build_cpu_time: 76.63, build_memory: 511061968, f_measure: 0.3059, kappa: 0.3547, kb_relative_information_score: 174.7101, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2784, predictive_accuracy: 0.4167, prior_entropy: 3.3219, recall: 0.4167, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.9328, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, build_cpu_time: 76.376, build_memory: 29223312, f_measure: 0.3059, kappa: 0.3547, kb_relative_information_score: 174.7101, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2784, predictive_accuracy: 0.4167, prior_entropy: 3.3219, recall: 0.4167, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.9328, scimark_benchmark: 937.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, build_cpu_time: 5057.407, build_memory: 874807392, f_measure: 0.826, kappa: 0.8045, kb_relative_information_score: 543.9003, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8282, predictive_accuracy: 0.8242, prior_entropy: 3.3219, recall: 0.8242, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6057, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, build_cpu_time: 2556.936, build_memory: 265784552, f_measure: 0.8206, kappa: 0.7995, kb_relative_information_score: 539.6689, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8218, predictive_accuracy: 0.8197, prior_entropy: 3.3219, recall: 0.8197, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6112, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, build_cpu_time: 1174.391, build_memory: 589609352, f_measure: 0.8151, kappa: 0.7944, kb_relative_information_score: 534.408, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8158, predictive_accuracy: 0.8152, prior_entropy: 3.3219, recall: 0.8152, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.6186, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, build_cpu_time: 577.29, build_memory: 1796800624, f_measure: 0.816, kappa: 0.7944, kb_relative_information_score: 539.3842, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8175, predictive_accuracy: 0.8152, prior_entropy: 3.3219, recall: 0.8152, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.18, root_relative_squared_error: 0.5999, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, build_cpu_time: 296.836, build_memory: 1155378816, f_measure: 0.8204, kappa: 0.7995, kb_relative_information_score: 545.9038, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.822, predictive_accuracy: 0.8197, prior_entropy: 3.3219, recall: 0.8197, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5723, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, build_cpu_time: 24.799, build_memory: 125788320, f_measure: 0.7001, kappa: 0.6783, kb_relative_information_score: 265.1968, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7121, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.8146, scimark_benchmark: 913.3372,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 39.821, build_memory: 180434072, f_measure: 0.7944, kappa: 0.7658, kb_relative_information_score: 525.5548, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8008, predictive_accuracy: 0.7894, prior_entropy: 3.3219, recall: 0.7894, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.606, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 39.071, build_memory: 1330963008, f_measure: 0.7944, kappa: 0.7658, kb_relative_information_score: 525.5548, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8008, predictive_accuracy: 0.7894, prior_entropy: 3.3219, recall: 0.7894, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.606, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, build_cpu_time: 21.859, build_memory: 2706487992, f_measure: 0.7915, kappa: 0.7641, kb_relative_information_score: 526.3495, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7966, predictive_accuracy: 0.7879, prior_entropy: 3.3219, recall: 0.7879, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.5947, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, build_cpu_time: 11.12, build_memory: 728680664, f_measure: 0.7672, kappa: 0.7406, kb_relative_information_score: 518.2588, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7717, predictive_accuracy: 0.7667, prior_entropy: 3.3219, recall: 0.7667, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.5875, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, build_cpu_time: 4.649, build_memory: 30131456, f_measure: 0.7752, kappa: 0.754, kb_relative_information_score: 512.5589, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7739, predictive_accuracy: 0.7788, prior_entropy: 3.3219, recall: 0.7788, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6658, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, build_cpu_time: 7.949, build_memory: 75762072, f_measure: 0.7928, kappa: 0.7726, kb_relative_information_score: 521.8746, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7913, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.6557, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, build_cpu_time: 15.482, build_memory: 207029512, f_measure: 0.81, kappa: 0.7911, kb_relative_information_score: 534.036, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8089, predictive_accuracy: 0.8121, prior_entropy: 3.3219, recall: 0.8121, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.632, scimark_benchmark: 925.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, build_cpu_time: 75.574, build_memory: 1679134608, f_measure: 0.7941, kappa: 0.7742, kb_relative_information_score: 472.4568, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7926, predictive_accuracy: 0.797, prior_entropy: 3.3219, recall: 0.797, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.601, scimark_benchmark: 896.3707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, build_cpu_time: 37.713, build_memory: 1658051472, f_measure: 0.7976, kappa: 0.7776, kb_relative_information_score: 472.7596, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7968, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6009, scimark_benchmark: 916.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, build_cpu_time: 21.345, build_memory: 752707968, f_measure: 0.8016, kappa: 0.7826, kb_relative_information_score: 472.4069, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8002, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6013, scimark_benchmark: 943.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, build_cpu_time: 11.356, build_memory: 2648298488, f_measure: 0.7971, kappa: 0.7776, kb_relative_information_score: 472.1997, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7959, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.6022, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, build_cpu_time: 5.06, build_memory: 278428008, f_measure: 0.8302, kappa: 0.8163, kb_relative_information_score: 523.9073, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8271, predictive_accuracy: 0.8348, prior_entropy: 3.3219, recall: 0.8348, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5208, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, build_cpu_time: 2.631, build_memory: 1572083912, f_measure: 0.7197, kappa: 0.6883, kb_relative_information_score: 509.3502, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7234, predictive_accuracy: 0.7197, prior_entropy: 3.3219, recall: 0.7197, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.6389, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, build_cpu_time: 1.189, build_memory: 313178304, f_measure: 0.7245, kappa: 0.6934, kb_relative_information_score: 509.9312, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7279, predictive_accuracy: 0.7242, prior_entropy: 3.3219, recall: 0.7242, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.6377, scimark_benchmark: 934.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, build_cpu_time: 1.309, build_memory: 1167324960, f_measure: 0.7245, kappa: 0.6934, kb_relative_information_score: 509.9312, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7279, predictive_accuracy: 0.7242, prior_entropy: 3.3219, recall: 0.7242, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.6377, scimark_benchmark: 945.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, build_cpu_time: 7172.846, build_memory: 310302960, f_measure: 0.8177, kappa: 0.8029, kb_relative_information_score: 556.833, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8133, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.5019, scimark_benchmark: 895.1097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, build_cpu_time: 0.043, build_memory: 1738270072, f_measure: 0.3409, kappa: 0.3762, kb_relative_information_score: 182.3242, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4918, predictive_accuracy: 0.4364, prior_entropy: 3.3219, recall: 0.4364, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.9243, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, build_cpu_time: 0.037, build_memory: 138295600, f_measure: 0.3415, kappa: 0.3779, kb_relative_information_score: 182.7209, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4917, predictive_accuracy: 0.4379, prior_entropy: 3.3219, recall: 0.4379, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9239, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, build_cpu_time: 0.02, build_memory: 543062424, f_measure: 0.3428, kappa: 0.3729, kb_relative_information_score: 184.0573, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4806, predictive_accuracy: 0.4333, prior_entropy: 3.3219, recall: 0.4333, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.923, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, build_cpu_time: 0.008, build_memory: 1973932120, f_measure: 0.3599, kappa: 0.3928, kb_relative_information_score: 184.3995, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4726, predictive_accuracy: 0.4515, prior_entropy: 3.3219, recall: 0.4515, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.9226, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, build_cpu_time: 0.006, build_memory: 2164103584, f_measure: 0.3874, kappa: 0.4112, kb_relative_information_score: 184.9675, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.5992, predictive_accuracy: 0.4682, prior_entropy: 3.3219, recall: 0.4682, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9219, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, build_cpu_time: 246.366, build_memory: 1083115952, f_measure: 0.8206, kappa: 0.808, kb_relative_information_score: 563.2614, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8164, predictive_accuracy: 0.8273, prior_entropy: 3.3219, recall: 0.8273, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.482, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, build_cpu_time: 1149.105, build_memory: 54871032, f_measure: 0.8334, kappa: 0.8198, kb_relative_information_score: 564.9351, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8306, predictive_accuracy: 0.8379, prior_entropy: 3.3219, recall: 0.8379, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.4738, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, build_cpu_time: 2255.362, build_memory: 83719464, f_measure: 0.8319, kappa: 0.8181, kb_relative_information_score: 565.4543, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8284, predictive_accuracy: 0.8364, prior_entropy: 3.3219, recall: 0.8364, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4703, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, build_cpu_time: 4168.826, build_memory: 396491048, f_measure: 0.8274, kappa: 0.813, kb_relative_information_score: 565.4685, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8241, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4707, scimark_benchmark: 944.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, build_cpu_time: 206.239, build_memory: 364369088, f_measure: 0.799, kappa: 0.7793, kb_relative_information_score: 497.8425, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7978, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5537, scimark_benchmark: 941.3103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, build_cpu_time: 25.23, build_memory: 873501288, f_measure: 0.7832, kappa: 0.7642, kb_relative_information_score: 499.0264, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7825, predictive_accuracy: 0.7879, prior_entropy: 3.3219, recall: 0.7879, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.173, root_relative_squared_error: 0.5767, scimark_benchmark: 943.3741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, build_cpu_time: 13.592, build_memory: 615524856, f_measure: 0.7906, kappa: 0.7709, kb_relative_information_score: 498.4988, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.791, predictive_accuracy: 0.7939, prior_entropy: 3.3219, recall: 0.7939, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5803, scimark_benchmark: 944.1511,

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