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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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Function: require_once

OpenML
OpenML
Supervised Classification on soybean

Supervised Classification on soybean

Task 41 Supervised Classification soybean 16132 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 under100k under1m
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16132 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, build_cpu_time: 25.3843, build_memory: 48494445.3646, f_measure: 0.9064, kappa: 0.8988, kb_relative_information_score: 618.1955, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9106, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.4419, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, build_cpu_time: 9.0653, build_memory: 53491080.3045, f_measure: 0.9064, kappa: 0.8988, kb_relative_information_score: 618.1931, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9106, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.4419, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, build_cpu_time: 0.0074, build_memory: 33960752.3397, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 24.6422, build_memory: 1196890904.6091, f_measure: 0.9371, kappa: 0.931, kb_relative_information_score: 643.8213, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.938, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.3507, scimark_benchmark: 927.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 20.5254, build_memory: 1003323299.0805, f_measure: 0.9385, kappa: 0.9326, kb_relative_information_score: 644.5026, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9395, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.3465, scimark_benchmark: 901.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 12.1267, build_memory: 2028667853.8917, f_measure: 0.9342, kappa: 0.9278, kb_relative_information_score: 642.097, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.935, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0727, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.3592, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 6.6316, build_memory: 1511721320.7262, f_measure: 0.9339, kappa: 0.9278, kb_relative_information_score: 641.4276, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9345, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.3521, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 0.0069, build_memory: 1047186783.2269, f_measure: 0.936, kappa: 0.931, kb_relative_information_score: 642.6537, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9424, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3337, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 0.3408, build_memory: 631460415.3792, f_measure: 0.9398, kappa: 0.9342, kb_relative_information_score: 599.9368, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9431, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.387, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, build_cpu_time: 0.0455, build_memory: 242915200.3982, f_measure: 0.9163, kappa: 0.9099, kb_relative_information_score: 623.0659, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.922, predictive_accuracy: 0.918, prior_entropy: 3.8572, recall: 0.918, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.3816, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 0.0002, build_memory: 623282038.4773, f_measure: 0.9092, kappa: 0.902, kb_relative_information_score: 623.516, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9141, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.4023, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, build_cpu_time: 0.8856, build_memory: 615111933.1186, f_measure: 0.8595, kappa: 0.8627, kb_relative_information_score: 126.6382, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8722, predictive_accuracy: 0.8755, prior_entropy: 3.8572, recall: 0.8755, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.9734, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, build_cpu_time: 0.7503, build_memory: 899717479.3206, f_measure: 0.9323, kappa: 0.9261, kb_relative_information_score: 128.9009, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9348, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 24.8744, build_memory: 520799607.4495, f_measure: 0.9256, kappa: 0.9182, kb_relative_information_score: 635.5287, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9272, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.3866, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.0012, build_memory: 213396377.1245, f_measure: 0.9246, kappa: 0.9181, kb_relative_information_score: 634.7924, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.933, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.3742, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.0011, build_memory: 249573818.4715, f_measure: 0.9246, kappa: 0.9181, kb_relative_information_score: 634.7924, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.933, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.3742, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.107, build_memory: 470398549.4231, f_measure: 0.8379, kappa: 0.8401, kb_relative_information_score: 556.6475, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8449, predictive_accuracy: 0.8551, prior_entropy: 3.8572, recall: 0.8551, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.5, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.107, build_memory: 1011174574.6881, f_measure: 0.8379, kappa: 0.8401, kb_relative_information_score: 556.6475, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8449, predictive_accuracy: 0.8551, prior_entropy: 3.8572, recall: 0.8551, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.5, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.1016, build_memory: 887267168.6794, f_measure: 0.8379, kappa: 0.8401, kb_relative_information_score: 556.6475, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8449, predictive_accuracy: 0.8551, prior_entropy: 3.8572, recall: 0.8551, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.5, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.1119, build_memory: 1116942090.284, f_measure: 0.8379, kappa: 0.8401, kb_relative_information_score: 556.6475, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8449, predictive_accuracy: 0.8551, prior_entropy: 3.8572, recall: 0.8551, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.5, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.1041, build_memory: 701655345.9209, f_measure: 0.8379, kappa: 0.8401, kb_relative_information_score: 556.6475, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8449, predictive_accuracy: 0.8551, prior_entropy: 3.8572, recall: 0.8551, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.5, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, build_cpu_time: 0.0046, build_memory: 191076660.1113, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, build_cpu_time: 0.0037, build_memory: 59128792.0117, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, build_cpu_time: 0.0117, build_memory: 453988228.6149, f_measure: 0.9232, kappa: 0.918, kb_relative_information_score: 621.7875, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9269, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3785, scimark_benchmark: 949.9767,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.001, build_memory: 242093490.6354, f_measure: 0.9246, kappa: 0.9181, kb_relative_information_score: 634.7924, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.933, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.3742, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 8.3808, build_memory: 1204041830.407, f_measure: 0.9288, kappa: 0.9229, kb_relative_information_score: 128.7946, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9318, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 941.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 6.9961, build_memory: 635409461.9034, f_measure: 0.9288, kappa: 0.9229, kb_relative_information_score: 128.7946, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9318, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 932.0191,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 30.7319, build_memory: 651450299.9941, f_measure: 0.9261, kappa: 0.9197, kb_relative_information_score: 128.7693, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9282, predictive_accuracy: 0.9268, prior_entropy: 3.8572, recall: 0.9268, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 28.4887, build_memory: 596971605.1772, f_measure: 0.9261, kappa: 0.9197, kb_relative_information_score: 128.7693, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9282, predictive_accuracy: 0.9268, prior_entropy: 3.8572, recall: 0.9268, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 939.0914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, build_cpu_time: 56.9324, build_memory: 1086731568.7496, f_measure: 0.9275, kappa: 0.9213, kb_relative_information_score: 128.7779, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9295, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 944.9156,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 7.268, build_memory: 313856896.6794, f_measure: 0.9361, kappa: 0.9309, kb_relative_information_score: 634.1396, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9426, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.3156, scimark_benchmark: 941.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 1.1076, build_memory: 691496154.9517, f_measure: 0.9378, kappa: 0.9325, kb_relative_information_score: 626.6432, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9395, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.3411, scimark_benchmark: 935.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 0.5644, build_memory: 217327970.2958, f_measure: 0.9378, kappa: 0.9325, kb_relative_information_score: 626.001, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9399, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.3429, scimark_benchmark: 922.3876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 0.2983, build_memory: 1643420446.8638, f_measure: 0.9319, kappa: 0.9261, kb_relative_information_score: 625.4619, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9343, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3453, scimark_benchmark: 929.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 0.1652, build_memory: 1281039082.2255, f_measure: 0.9335, kappa: 0.9277, kb_relative_information_score: 625.8729, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9357, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3453, scimark_benchmark: 941.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, build_cpu_time: 0.015, build_memory: 26341389.6574, f_measure: 0.9232, kappa: 0.918, kb_relative_information_score: 621.7875, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9269, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3785, scimark_benchmark: 947.2519,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8533, kappa: 0.8408, kb_relative_information_score: 571.1869, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8676, predictive_accuracy: 0.8551, prior_entropy: 3.8572, recall: 0.8551, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.55, scimark_benchmark: 925.0487,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9355, kappa: 0.9294, kb_relative_information_score: 645.8905, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9374, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.3028, scimark_benchmark: 946.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9383, kappa: 0.9326, kb_relative_information_score: 643.0435, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9393, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.3579, scimark_benchmark: 897.0608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9151, kappa: 0.9068, kb_relative_information_score: 629.9043, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9167, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3909, scimark_benchmark: 943.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.936, kappa: 0.9293, kb_relative_information_score: 641.2861, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9371, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.357, scimark_benchmark: 896.7901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9194, kappa: 0.9132, kb_relative_information_score: 627.2744, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9233, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.3765, scimark_benchmark: 897.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9087, kappa: 0.9004, kb_relative_information_score: 626.9684, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9128, predictive_accuracy: 0.9092, prior_entropy: 3.8572, recall: 0.9092, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.3709, scimark_benchmark: 596.2797,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9064, kappa: 0.8988, kb_relative_information_score: 618.1931, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9106, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.4419, scimark_benchmark: 597.1216,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9384, kappa: 0.9326, kb_relative_information_score: 642.3198, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9397, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.3593, scimark_benchmark: 910.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9344, kappa: 0.9293, kb_relative_information_score: 634.2975, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9401, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.319, scimark_benchmark: 866.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8373, kappa: 0.8188, kb_relative_information_score: 564.8978, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8514, predictive_accuracy: 0.8346, prior_entropy: 3.8572, recall: 0.8346, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.5828, scimark_benchmark: 946.1001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.8683, kappa: 0.8553, kb_relative_information_score: 553.8103, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8876, predictive_accuracy: 0.8682, prior_entropy: 3.8572, recall: 0.8682, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.491, scimark_benchmark: 930.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9375, kappa: 0.9309, kb_relative_information_score: 641.9074, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9385, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.3529, scimark_benchmark: 940.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9388, kappa: 0.9325, kb_relative_information_score: 644.605, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9396, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.336, scimark_benchmark: 435.9491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9297, kappa: 0.923, kb_relative_information_score: 634.3878, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9346, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.3718, scimark_benchmark: 903.2223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9112, kappa: 0.9036, kb_relative_information_score: 628.2332, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9151, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.3753, scimark_benchmark: 930.0864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 628.7041, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.374, scimark_benchmark: 938.607,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9397, kappa: 0.9342, kb_relative_information_score: 641.4264, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9405, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.3493, scimark_benchmark: 947.2372,

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