OpenML
Supervised Classification on ionosphere

Supervised Classification on ionosphere

Task 57 Supervised Classification ionosphere 1206 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 study_73 under100k under1m
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1206 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, build_cpu_time: 8.5339, build_memory: 1331805026.1425, f_measure: 0.9367, kappa: 0.8614, kb_relative_information_score: 254.3765, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9378, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4826, scimark_benchmark: 895.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, build_cpu_time: 8.0815, build_memory: 942629454.1994, f_measure: 0.9367, kappa: 0.8614, kb_relative_information_score: 254.3765, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9378, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4826, scimark_benchmark: 898.6863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, build_cpu_time: 4.0768, build_memory: 1297414260.7863, f_measure: 0.9367, kappa: 0.8614, kb_relative_information_score: 254.563, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9378, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4834, scimark_benchmark: 914.2677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, build_cpu_time: 1.0799, build_memory: 2042436627.1681, f_measure: 0.9366, kappa: 0.8609, kb_relative_information_score: 255.5495, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9383, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4851, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, build_cpu_time: 0.0206, build_memory: 492494347.3732, f_measure: 0.8397, kappa: 0.6466, kb_relative_information_score: 207.9137, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8429, predictive_accuracy: 0.8433, prior_entropy: 0.9425, recall: 0.8433, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.719, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, build_cpu_time: 0.0727, build_memory: 606691161.6182, f_measure: 0.8451, kappa: 0.6582, kb_relative_information_score: 208.0603, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8495, predictive_accuracy: 0.849, prior_entropy: 0.9425, recall: 0.849, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6979, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, build_cpu_time: 0.0413, build_memory: 360791334.792, f_measure: 0.8451, kappa: 0.6582, kb_relative_information_score: 208.0603, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8495, predictive_accuracy: 0.849, prior_entropy: 0.9425, recall: 0.849, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6979, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, build_cpu_time: 0.0432, build_memory: 388204442.5299, f_measure: 0.8451, kappa: 0.6582, kb_relative_information_score: 208.0603, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8495, predictive_accuracy: 0.849, prior_entropy: 0.9425, recall: 0.849, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6979, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, build_cpu_time: 0.0917, build_memory: 844438820.1709, f_measure: 0.8474, kappa: 0.6628, kb_relative_information_score: 207.7369, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8537, predictive_accuracy: 0.8519, prior_entropy: 0.9425, recall: 0.8519, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.681, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, build_cpu_time: 0.2346, build_memory: 815584379.396, f_measure: 0.8564, kappa: 0.6828, kb_relative_information_score: 205.2653, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8625, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.678, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, build_cpu_time: 0.2317, build_memory: 855175877.9259, f_measure: 0.8564, kappa: 0.6828, kb_relative_information_score: 205.2653, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8625, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.678, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, build_cpu_time: 0.2331, build_memory: 618662213.6752, f_measure: 0.8564, kappa: 0.6828, kb_relative_information_score: 205.2653, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8625, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.678, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, build_cpu_time: 0.3723, build_memory: 920119231.9088, f_measure: 0.8537, kappa: 0.6769, kb_relative_information_score: 206.7833, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.859, predictive_accuracy: 0.8576, prior_entropy: 0.9425, recall: 0.8576, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6733, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, build_cpu_time: 0.4657, build_memory: 855426376, f_measure: 0.8537, kappa: 0.6769, kb_relative_information_score: 206.7833, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.859, predictive_accuracy: 0.8576, prior_entropy: 0.9425, recall: 0.8576, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6733, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, build_cpu_time: 0.3257, build_memory: 593747722.4843, f_measure: 0.8537, kappa: 0.6769, kb_relative_information_score: 206.7833, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.859, predictive_accuracy: 0.8576, prior_entropy: 0.9425, recall: 0.8576, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6733, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, build_cpu_time: 0.3883, build_memory: 805828331.3276, f_measure: 0.8537, kappa: 0.6769, kb_relative_information_score: 206.7833, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.859, predictive_accuracy: 0.8576, prior_entropy: 0.9425, recall: 0.8576, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6733, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, build_cpu_time: 0.3158, build_memory: 256961360.661, f_measure: 0.9282, kappa: 0.8428, kb_relative_information_score: 263.6374, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9289, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.48, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, build_cpu_time: 0.3112, build_memory: 780768289.755, f_measure: 0.8318, kappa: 0.6447, kb_relative_information_score: 216.0802, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8437, predictive_accuracy: 0.8291, prior_entropy: 0.9425, recall: 0.8291, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7706, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, build_cpu_time: 0.3146, build_memory: 791626820.6496, f_measure: 0.8318, kappa: 0.6447, kb_relative_information_score: 216.0802, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8437, predictive_accuracy: 0.8291, prior_entropy: 0.9425, recall: 0.8291, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7706, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, build_cpu_time: 0.1569, build_memory: 99454054.0627, f_measure: 0.8668, kappa: 0.7071, kb_relative_information_score: 243.1834, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8686, predictive_accuracy: 0.8689, prior_entropy: 0.9425, recall: 0.8689, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6884, scimark_benchmark: 942.1551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, build_cpu_time: 229.2694, build_memory: 1557723237.0598, f_measure: 0.8906, kappa: 0.7578, kb_relative_information_score: 257.1808, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9035, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.5708, scimark_benchmark: 911.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9308, kappa: 0.8482, kb_relative_information_score: 0.7393, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9324, predictive_accuracy: 0.9316, prior_entropy: 0.9418, recall: 0.9316, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, build_cpu_time: 572.9601, build_memory: 583667809.4587, f_measure: 0.8937, kappa: 0.7648, kb_relative_information_score: 257.4679, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9058, predictive_accuracy: 0.8974, prior_entropy: 0.9425, recall: 0.8974, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.5694, scimark_benchmark: 1248.2043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, build_cpu_time: 0.0296, build_memory: 2650796604.718, f_measure: 0.8141, kappa: 0.5883, kb_relative_information_score: 180.9642, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8574, predictive_accuracy: 0.8291, prior_entropy: 0.9425, recall: 0.8291, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.72, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 1.8739, build_memory: 1565620685.6752, f_measure: 0.886, kappa: 0.7485, kb_relative_information_score: 260.3099, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.892, predictive_accuracy: 0.8889, prior_entropy: 0.9425, recall: 0.8889, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6721, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, build_cpu_time: 0.0151, build_memory: 678832823.7721, f_measure: 0.8149, kappa: 0.5899, kb_relative_information_score: 180.9846, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8541, predictive_accuracy: 0.8291, prior_entropy: 0.9425, recall: 0.8291, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7165, scimark_benchmark: 1225.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, build_cpu_time: 0.01, build_memory: 73556634.2564, f_measure: 0.8218, kappa: 0.6051, kb_relative_information_score: 181.8955, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8582, predictive_accuracy: 0.8348, prior_entropy: 0.9425, recall: 0.8348, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.344, root_relative_squared_error: 0.717, scimark_benchmark: 942.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, build_cpu_time: 0.9039, build_memory: 2294165739.1453, f_measure: 0.8857, kappa: 0.7476, kb_relative_information_score: 259.951, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8931, predictive_accuracy: 0.8889, prior_entropy: 0.9425, recall: 0.8889, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6843, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, build_cpu_time: 0.0054, build_memory: 321850938.4843, f_measure: 0.8245, kappa: 0.6112, kb_relative_information_score: 183.9892, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8633, predictive_accuracy: 0.8376, prior_entropy: 0.9425, recall: 0.8376, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.7138, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, build_cpu_time: 0.0019, build_memory: 362748035.7607, f_measure: 0.8176, kappa: 0.596, kb_relative_information_score: 183.6232, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8594, predictive_accuracy: 0.8319, prior_entropy: 0.9425, recall: 0.8319, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7204, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, build_cpu_time: 4.2324, build_memory: 1009491516.4672, f_measure: 0.9157, kappa: 0.8143, kb_relative_information_score: 271.3605, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9202, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.502, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, build_cpu_time: 10.224, build_memory: 89296320.5698, f_measure: 0.9155, kappa: 0.8136, kb_relative_information_score: 272.4824, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9212, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4958, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, build_cpu_time: 18.5241, build_memory: 1156444511.2251, f_measure: 0.9215, kappa: 0.8271, kb_relative_information_score: 273.4002, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9262, predictive_accuracy: 0.9231, prior_entropy: 0.9425, recall: 0.9231, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4897, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9308, kappa: 0.8482, kb_relative_information_score: 0.7393, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9324, predictive_accuracy: 0.9316, prior_entropy: 0.9418, recall: 0.9316, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, build_cpu_time: 37.175, build_memory: 2763588335.7037, f_measure: 0.9155, kappa: 0.8136, kb_relative_information_score: 274.0577, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9212, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4809, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 79.4682, build_memory: 54702898.735, f_measure: 0.9183, kappa: 0.8197, kb_relative_information_score: 274.8316, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9248, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4782, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, build_cpu_time: 10.1557, build_memory: 1500148817.1852, f_measure: 0.9394, kappa: 0.867, kb_relative_information_score: 303.5293, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9415, predictive_accuracy: 0.9402, prior_entropy: 0.9425, recall: 0.9402, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.5099, scimark_benchmark: 936.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, build_cpu_time: 5.138, build_memory: 1171444375.9544, f_measure: 0.9335, kappa: 0.8538, kb_relative_information_score: 298.6925, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9363, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5312, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, build_cpu_time: 2.6513, build_memory: 1571195755.0769, f_measure: 0.9277, kappa: 0.8411, kb_relative_information_score: 294.5667, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9304, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5563, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, build_cpu_time: 1.9537, build_memory: 136794419.5328, f_measure: 0.9277, kappa: 0.8411, kb_relative_information_score: 294.5667, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9304, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5563, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, build_cpu_time: 1.1358, build_memory: 185411510.7009, f_measure: 0.9189, kappa: 0.8217, kb_relative_information_score: 289.5341, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9219, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5595, scimark_benchmark: 936.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, build_cpu_time: 0.5637, build_memory: 573975283.2137, f_measure: 0.9079, kappa: 0.7984, kb_relative_information_score: 278.9697, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9087, predictive_accuracy: 0.9088, prior_entropy: 0.9425, recall: 0.9088, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.6125, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, build_cpu_time: 2.7362, build_memory: 2625982839.3618, f_measure: 0.9105, kappa: 0.8036, kb_relative_information_score: 257.2508, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9122, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5186, scimark_benchmark: 936.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, build_cpu_time: 4.2514, build_memory: 28311701.5157, f_measure: 0.9165, kappa: 0.817, kb_relative_information_score: 258.767, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9176, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5126, scimark_benchmark: 941.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, build_cpu_time: 1.5854, build_memory: 34399213.8348, f_measure: 0.9124, kappa: 0.8069, kb_relative_information_score: 265.288, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9187, predictive_accuracy: 0.9145, prior_entropy: 0.9425, recall: 0.9145, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5006, scimark_benchmark: 946.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, build_cpu_time: 0.7382, build_memory: 701876370.2108, f_measure: 0.9157, kappa: 0.8143, kb_relative_information_score: 264.8894, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9202, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.502, scimark_benchmark: 946.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, build_cpu_time: 0.4136, build_memory: 2123338623.0199, f_measure: 0.9159, kappa: 0.815, kb_relative_information_score: 263.1119, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9193, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.5167, scimark_benchmark: 936.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, build_cpu_time: 0.2101, build_memory: 331292120.9801, f_measure: 0.9103, kappa: 0.8029, kb_relative_information_score: 260.696, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9127, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5273, scimark_benchmark: 920.1098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8932, kappa: 0.7656, kb_relative_information_score: 260.9592, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, build_cpu_time: 0.0165, build_memory: 101110899.943, f_measure: 0.8932, kappa: 0.7656, kb_relative_information_score: 260.9592, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6555, scimark_benchmark: 945.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8932, kappa: 0.7656, kb_relative_information_score: 260.9592, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, build_cpu_time: 0.0174, build_memory: 175997192.4558, f_measure: 0.8932, kappa: 0.7656, kb_relative_information_score: 260.9592, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6555, scimark_benchmark: 947.8005,
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: 0.9081, f_measure: 0.9026, kappa: 0.7873, kb_relative_information_score: 266.993, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9026, predictive_accuracy: 0.9031, prior_entropy: 0.9425, recall: 0.9031, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.6137, scimark_benchmark: 948.1927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8968, kappa: 0.7718, kb_relative_information_score: 264.8945, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9081, predictive_accuracy: 0.9003, prior_entropy: 0.9425, recall: 0.9003, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5526, scimark_benchmark: 594.7763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 237.1072, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7107, scimark_benchmark: 594.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9041, kappa: 0.7887, kb_relative_information_score: 276.147, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9082, predictive_accuracy: 0.906, prior_entropy: 0.9425, recall: 0.906, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5624, scimark_benchmark: 595.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9175, kappa: 0.8208, kb_relative_information_score: 275.2674, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9175, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5568, scimark_benchmark: 596.2835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7793, kappa: 0.5143, kb_relative_information_score: 20.2125, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.7796, predictive_accuracy: 0.7835, prior_entropy: 0.9425, recall: 0.7835, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9274, scimark_benchmark: 895.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8829, kappa: 0.7449, kb_relative_information_score: 258.6082, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8827, predictive_accuracy: 0.8832, prior_entropy: 0.9425, recall: 0.8832, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7125, scimark_benchmark: 595.4433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8982, kappa: 0.7759, kb_relative_information_score: 233.128, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9022, predictive_accuracy: 0.9003, prior_entropy: 0.9425, recall: 0.9003, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.5782, scimark_benchmark: 946.0702,
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: 0.8942, f_measure: 0.8924, kappa: 0.7631, kb_relative_information_score: 239.5108, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8962, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.633, scimark_benchmark: 949.4977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9394, kappa: 0.867, kb_relative_information_score: 302.3977, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9415, predictive_accuracy: 0.9402, prior_entropy: 0.9425, recall: 0.9402, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4975, scimark_benchmark: 926.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9336, kappa: 0.8543, kb_relative_information_score: 299.0818, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9356, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5333, scimark_benchmark: 936.6965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8852, kappa: 0.7489, kb_relative_information_score: 260.8556, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8853, predictive_accuracy: 0.886, prior_entropy: 0.9425, recall: 0.886, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.7037,
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: 0.8941, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 237.2356, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.341, root_relative_squared_error: 0.711, scimark_benchmark: 944.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9157, kappa: 0.8143, kb_relative_information_score: 264.8894, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9202, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.502, scimark_benchmark: 946.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8767, kappa: 0.7276, kb_relative_information_score: 248.766, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8845, predictive_accuracy: 0.8803, prior_entropy: 0.9425, recall: 0.8803, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6873, scimark_benchmark: 941.0941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9033, kappa: 0.7864, kb_relative_information_score: 273.3847, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9114, predictive_accuracy: 0.906, prior_entropy: 0.9425, recall: 0.906, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.285, root_relative_squared_error: 0.5942, scimark_benchmark: 936.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8564, kappa: 0.6828, kb_relative_information_score: 205.2653, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8625, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.678, scimark_benchmark: 941.2226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8743, kappa: 0.7227, kb_relative_information_score: 229.4054, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8799, predictive_accuracy: 0.8775, prior_entropy: 0.9425, recall: 0.8775, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9215, kappa: 0.8271, kb_relative_information_score: 273.1608, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9262, predictive_accuracy: 0.9231, prior_entropy: 0.9425, recall: 0.9231, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4912, scimark_benchmark: 938.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.9026, kappa: 0.7873, kb_relative_information_score: 266.993, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9026, predictive_accuracy: 0.9031, prior_entropy: 0.9425, recall: 0.9031, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.6137, scimark_benchmark: 913.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8287, kappa: 0.6202, kb_relative_information_score: 232.2647, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8623, predictive_accuracy: 0.8405, prior_entropy: 0.9425, recall: 0.8405, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7127, scimark_benchmark: 943.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.9159, kappa: 0.815, kb_relative_information_score: 283.2676, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9193, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5913, scimark_benchmark: 949.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8224, kappa: 0.6121, kb_relative_information_score: 211.4123, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8219, predictive_accuracy: 0.8234, prior_entropy: 0.9425, recall: 0.8234, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8761, scimark_benchmark: 917.2651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8934, kappa: 0.7665, kb_relative_information_score: 264.7847, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8942, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6694, scimark_benchmark: 915.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9105, kappa: 0.8036, kb_relative_information_score: 253.8217, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9122, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8786, kappa: 0.7335, kb_relative_information_score: 216.1642, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.88, predictive_accuracy: 0.8803, prior_entropy: 0.9425, recall: 0.8803, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6565, scimark_benchmark: 915.7062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8149, kappa: 0.5899, kb_relative_information_score: 153.5979, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8541, predictive_accuracy: 0.8291, prior_entropy: 0.9425, recall: 0.8291, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7367, scimark_benchmark: 925.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 239.4398, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7765, scimark_benchmark: 941.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9368, kappa: 0.8619, kb_relative_information_score: 301.9053, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9374, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.509, scimark_benchmark: 943.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9366, kappa: 0.8609, kb_relative_information_score: 301.3141, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9383, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5218, scimark_benchmark: 899.7157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8907, kappa: 0.7606, kb_relative_information_score: 240.3171, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8912, predictive_accuracy: 0.8917, prior_entropy: 0.9425, recall: 0.8917, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6158, scimark_benchmark: 930.6145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 296.1068, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5234, scimark_benchmark: 915.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8184, kappa: 0.5975, kb_relative_information_score: 153.643, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8561, predictive_accuracy: 0.8319, prior_entropy: 0.9425, recall: 0.8319, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7416, scimark_benchmark: 943.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8937, kappa: 0.7648, kb_relative_information_score: 264.6961, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9058, predictive_accuracy: 0.8974, prior_entropy: 0.9425, recall: 0.8974, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.554, scimark_benchmark: 915.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8829, kappa: 0.7449, kb_relative_information_score: 258.6082, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8827, predictive_accuracy: 0.8832, prior_entropy: 0.9425, recall: 0.8832, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7125, scimark_benchmark: 909.2572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9045, kappa: 0.7902, kb_relative_information_score: 252.6148, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9068, predictive_accuracy: 0.906, prior_entropy: 0.9425, recall: 0.906, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5398, scimark_benchmark: 925.6441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.9159, kappa: 0.815, kb_relative_information_score: 283.2676, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9193, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5913, scimark_benchmark: 944.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9339, kappa: 0.8553, kb_relative_information_score: 295.8826, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9347, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5349, scimark_benchmark: 947.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8318, kappa: 0.6447, kb_relative_information_score: 216.0802, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8437, predictive_accuracy: 0.8291, prior_entropy: 0.9425, recall: 0.8291, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7706, scimark_benchmark: 941.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8693, kappa: 0.7104, kb_relative_information_score: 251.861, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.884, predictive_accuracy: 0.8746, prior_entropy: 0.9425, recall: 0.8746, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.654, scimark_benchmark: 937.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7678, kappa: 0.4882, kb_relative_information_score: 133.7448, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8281, predictive_accuracy: 0.792, prior_entropy: 0.9425, recall: 0.792, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8365, scimark_benchmark: 924.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.9339, kappa: 0.8553, kb_relative_information_score: 300.2974, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9347, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5187, scimark_benchmark: 947.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9397, kappa: 0.8679, kb_relative_information_score: 303.5461, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9405, predictive_accuracy: 0.9402, prior_entropy: 0.9425, recall: 0.9402, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.5096, scimark_benchmark: 930.7698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9367, kappa: 0.8614, kb_relative_information_score: 304.1502, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9378, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.4953, scimark_benchmark: 946.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9118, kappa: 0.8084, kb_relative_information_score: 268.7096, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9118, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6098, scimark_benchmark: 921.779,

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