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Function: require_once

OpenML
OpenML
Supervised Classification on vote

Supervised Classification on vote

Task 285 Supervised Classification vote 380 runs submitted
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380 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9584, kappa: 0.9131, kb_relative_information_score: 124.2216, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9622, predictive_accuracy: 0.958, prior_entropy: 0.9627, recall: 0.958, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3992, scimark_benchmark: 942.9518, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 916.5955, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 132.0085, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3843, scimark_benchmark: 938.343, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 119.303, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3071, scimark_benchmark: 880.8372, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9791, kappa: 0.9561, kb_relative_information_score: 136.3216, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9801, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.2977, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9721, kappa: 0.9413, kb_relative_information_score: 128.3864, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9726, predictive_accuracy: 0.972, prior_entropy: 0.9627, recall: 0.972, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2747, scimark_benchmark: 1363.434, usercpu_time_millis: 2270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 1073.494, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9446, kappa: 0.885, kb_relative_information_score: 123.5687, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9512, predictive_accuracy: 0.9441, prior_entropy: 0.9627, recall: 0.9441, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4911, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9582, kappa: 0.912, kb_relative_information_score: 128.2132, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9587, predictive_accuracy: 0.958, prior_entropy: 0.9627, recall: 0.958, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.353, scimark_benchmark: 1319.5177, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.986, kappa: 0.9705, kb_relative_information_score: 126.3252, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2958, scimark_benchmark: 1298.285, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9439, kappa: 0.881, kb_relative_information_score: 126.5154, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.944, predictive_accuracy: 0.9441, prior_entropy: 0.9627, recall: 0.9441, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4048, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 128.4589, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.2851, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.993, kappa: 0.9853, kb_relative_information_score: 131.9186, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 0.9627, recall: 0.993, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1939, scimark_benchmark: 1309.3173, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9513, kappa: 0.8976, kb_relative_information_score: 127.6955, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9524, predictive_accuracy: 0.951, prior_entropy: 0.9627, recall: 0.951, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4548, scimark_benchmark: 1315.395, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8529, kappa: 0.6852, kb_relative_information_score: 99.6604, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.8793, predictive_accuracy: 0.8601, prior_entropy: 0.9627, recall: 0.8601, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7687, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.993, kappa: 0.9853, kb_relative_information_score: 131.832, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 0.9627, recall: 0.993, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.095, root_relative_squared_error: 0.1954, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 977.6382, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4689, kb_relative_information_score: -0.1312, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.3787, predictive_accuracy: 0.6154, prior_entropy: 0.9627, recall: 0.6154, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.4865, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 128.8907, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2436, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, build_cpu_time: 0.7, build_memory: 432764896, f_measure: 0.972, kappa: 0.9409, kb_relative_information_score: 134.1634, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.9627, recall: 0.972, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3427, scimark_benchmark: 941.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, build_cpu_time: 0.699, build_memory: 1387971696, f_measure: 0.972, kappa: 0.9409, kb_relative_information_score: 134.1634, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.9627, recall: 0.972, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3427, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, build_cpu_time: 0.456, build_memory: 1858448384, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 135.8006, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3002, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, build_cpu_time: 0.328, build_memory: 1056895544, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 135.7284, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.3018, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 0.137, build_memory: 1080085544, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 136.4871, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0444, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.2644, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 0.022, build_memory: 38261264, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 128.7595, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3943, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, build_cpu_time: 0.044, build_memory: 310070136, f_measure: 0.9513, kappa: 0.8976, kb_relative_information_score: 127.8234, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9524, predictive_accuracy: 0.951, prior_entropy: 0.9627, recall: 0.951, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4164, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 0.058, build_memory: 1268378008, f_measure: 0.9442, kappa: 0.8826, kb_relative_information_score: 124.8825, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9448, predictive_accuracy: 0.9441, prior_entropy: 0.9627, recall: 0.9441, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4846, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, build_cpu_time: 0.149, build_memory: 705762216, f_measure: 0.9442, kappa: 0.8826, kb_relative_information_score: 125.6969, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9448, predictive_accuracy: 0.9441, prior_entropy: 0.9627, recall: 0.9441, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.478, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, build_cpu_time: 0.139, build_memory: 6696912, f_measure: 0.9442, kappa: 0.8826, kb_relative_information_score: 125.6969, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9448, predictive_accuracy: 0.9441, prior_entropy: 0.9627, recall: 0.9441, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.478, scimark_benchmark: 944.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, build_cpu_time: 0.036, build_memory: 345042328, f_measure: 0.9582, kappa: 0.912, kb_relative_information_score: 130.003, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9587, predictive_accuracy: 0.958, prior_entropy: 0.9627, recall: 0.958, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3981, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, build_cpu_time: 0.042, build_memory: 2626893728, f_measure: 0.9582, kappa: 0.912, kb_relative_information_score: 130.003, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9587, predictive_accuracy: 0.958, prior_entropy: 0.9627, recall: 0.958, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3981, scimark_benchmark: 934.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 0.061, build_memory: 37828296, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 135.8896, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.273, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 3.402, build_memory: 174513048, f_measure: 0.9582, kappa: 0.912, kb_relative_information_score: 129.0851, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9587, predictive_accuracy: 0.958, prior_entropy: 0.9627, recall: 0.958, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4228, scimark_benchmark: 919.1717,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.695, build_memory: 1407641744, f_measure: 0.9652, kappa: 0.9269, kb_relative_information_score: 131.5776, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9662, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.385, scimark_benchmark: 947.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 0.03, build_memory: 442727504, f_measure: 0.9511, kappa: 0.8969, kb_relative_information_score: 127.9553, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9513, predictive_accuracy: 0.951, prior_entropy: 0.9627, recall: 0.951, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.439, scimark_benchmark: 935.37,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.001, build_memory: 598765552, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 938.8276,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, build_memory: 195901120, f_measure: 0.9513, kappa: 0.8976, kb_relative_information_score: 123.7897, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9524, predictive_accuracy: 0.951, prior_entropy: 0.9627, recall: 0.951, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4563, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, build_cpu_time: 0.034, build_memory: 301140096, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 132.0085, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3843, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 0.012, build_memory: 793301576, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.031, build_memory: 134985712, f_measure: 0.993, kappa: 0.9853, kb_relative_information_score: 140.6347, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 0.9627, recall: 0.993, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.1719, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 0.008, build_memory: 961769944, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 131.3099, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.2441, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, build_memory: 155476488, f_measure: 0.9376, kappa: 0.8701, kb_relative_information_score: 123.08, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9428, predictive_accuracy: 0.9371, prior_entropy: 0.9627, recall: 0.9371, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4888, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, build_memory: 331213832, f_measure: 0.9376, kappa: 0.8701, kb_relative_information_score: 123.08, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9428, predictive_accuracy: 0.9371, prior_entropy: 0.9627, recall: 0.9371, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4888, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.01, build_memory: 1474684784, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 129.2742, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2339, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.015, build_memory: 679068984, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 129.2742, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2339, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.017, build_memory: 546267720, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 129.2742, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2339, scimark_benchmark: 940.7816,

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