OpenML
Supervised Classification on fri_c2_100_5

Supervised Classification on fri_c2_100_5

Task 3592 Supervised Classification fri_c2_100_5 905 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, build_cpu_time: 5.8052, build_memory: 952407424, f_measure: 0.8697, kappa: 0.728, kb_relative_information_score: 72.7181, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8696, predictive_accuracy: 0.87, prior_entropy: 0.9721, recall: 0.87, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7221, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, build_cpu_time: 2.9261, build_memory: 430301436, f_measure: 0.8497, kappa: 0.6862, kb_relative_information_score: 68.0865, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8495, predictive_accuracy: 0.85, prior_entropy: 0.9721, recall: 0.85, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7797, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, build_cpu_time: 1.4823, build_memory: 1656010760.8, f_measure: 0.8898, kappa: 0.7699, kb_relative_information_score: 75.9434, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8897, predictive_accuracy: 0.89, prior_entropy: 0.9721, recall: 0.89, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6487, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, build_cpu_time: 0.6268, build_memory: 742225970.4, f_measure: 0.8296, kappa: 0.6444, kb_relative_information_score: 63.978, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8294, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7928, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, build_cpu_time: 0.0365, build_memory: 901315872, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 56.7866, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8564, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, build_cpu_time: 0.0763, build_memory: 1639557235.2, f_measure: 0.8277, kappa: 0.6383, kb_relative_information_score: 63.4398, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8111, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, build_cpu_time: 0.165, build_memory: 460835152.8, f_measure: 0.8373, kappa: 0.6581, kb_relative_information_score: 65.0588, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8132, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, build_cpu_time: 0.355, build_memory: 978707112.8, f_measure: 0.8277, kappa: 0.6383, kb_relative_information_score: 64.231, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8202, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, build_cpu_time: 0.5809, build_memory: 966503181.6, f_measure: 0.8586, kappa: 0.7034, kb_relative_information_score: 70.2657, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 0.9721, recall: 0.86, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7638, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, build_cpu_time: 0.0497, build_memory: 502007447.2, f_measure: 0.8489, kappa: 0.6835, kb_relative_information_score: 68.213, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8494, predictive_accuracy: 0.85, prior_entropy: 0.9721, recall: 0.85, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7592, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, build_cpu_time: 0.0634, build_memory: 1467684151.2, f_measure: 0.8489, kappa: 0.6835, kb_relative_information_score: 68.1927, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8494, predictive_accuracy: 0.85, prior_entropy: 0.9721, recall: 0.85, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7592, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, build_cpu_time: 0.0375, build_memory: 817985762.4, f_measure: 0.8384, kappa: 0.661, kb_relative_information_score: 66.1063, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7858, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, build_cpu_time: 0.0269, build_memory: 319324273.6, f_measure: 0.8296, kappa: 0.6444, kb_relative_information_score: 65.5431, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8294, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7921, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, build_cpu_time: 0.0156, build_memory: 867229776.8, f_measure: 0.7683, kappa: 0.5148, kb_relative_information_score: 53.0294, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7681, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8695, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, build_cpu_time: 0.0078, build_memory: 579274553.6, f_measure: 0.8086, kappa: 0.5992, kb_relative_information_score: 59.5236, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8088, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8506, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, build_cpu_time: 0.019, build_memory: 1993095000, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 58.9909, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8576, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, build_cpu_time: 0.0246, build_memory: 149416899.2, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 58.8254, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8641, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, build_cpu_time: 0.0268, build_memory: 477335065.6, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 59.1437, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8661, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, build_cpu_time: 0.0331, build_memory: 901145872, f_measure: 0.8096, kappa: 0.6025, kb_relative_information_score: 60.5923, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8093, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8564, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, build_cpu_time: 0.0189, build_memory: 363345886.4, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 56.5988, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9032, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, build_cpu_time: 0.0062, build_memory: 253675573.6, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 56.5988, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9032, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, build_cpu_time: 0.004, build_memory: 288638466.4, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 56.5988, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9032, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, build_cpu_time: 0.0361, build_memory: 507099912.8, f_measure: 0.8384, kappa: 0.661, kb_relative_information_score: 62.8193, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7949, scimark_benchmark: 933.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, build_cpu_time: 0.2005, build_memory: 217343646.4, f_measure: 0.8288, kappa: 0.6414, kb_relative_information_score: 63.6031, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8291, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.412, root_relative_squared_error: 0.841, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 0.1449, build_memory: 1740413704, f_measure: 0.8277, kappa: 0.6383, kb_relative_information_score: 64.5291, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.812, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, build_cpu_time: 0.0563, build_memory: 888247547.2, f_measure: 0.8586, kappa: 0.7034, kb_relative_information_score: 69.8332, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 0.9721, recall: 0.86, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7521, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, build_cpu_time: 0.026, build_memory: 964877920, f_measure: 0.8288, kappa: 0.6414, kb_relative_information_score: 64.5779, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8291, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7696, scimark_benchmark: 933.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, build_cpu_time: 0.162, build_memory: 451218880.8, f_measure: 0.7264, kappa: 0.4255, kb_relative_information_score: 27.0399, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7266, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9251, scimark_benchmark: 905.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, build_cpu_time: 0.0627, build_memory: 126496833.6, f_measure: 0.8207, kappa: 0.6281, kb_relative_information_score: 62.2074, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.822, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8303, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, build_cpu_time: 0.0001, build_memory: 760809776, f_measure: 0.728, kappa: 0.4304, kb_relative_information_score: 37.6425, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7274, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8831, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, build_cpu_time: 0.0163, build_memory: 853396400.8, f_measure: 0.817, kappa: 0.6154, kb_relative_information_score: 48.7272, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8203, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7297, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, build_cpu_time: 0.0032, build_memory: 983837536, f_measure: 0.7682, kappa: 0.5133, kb_relative_information_score: 42.8139, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7925, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8683, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, build_cpu_time: 0.0002, build_memory: 812808000, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 56.5988, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9032, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0072, build_memory: 467842943.2, f_measure: 0.45, kb_relative_information_score: 15.2597, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, build_cpu_time: 0.005, build_memory: 143731874.4, f_measure: 0.696, kappa: 0.3612, kb_relative_information_score: 38.5315, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7089, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0992, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, build_cpu_time: 0.0056, build_memory: 397748624, f_measure: 0.7198, kappa: 0.4105, kb_relative_information_score: 42.7627, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7291, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0607, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, build_cpu_time: 0.0016, build_memory: 396798176, f_measure: 0.6488, kappa: 0.2609, kb_relative_information_score: 14.4979, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9716, scimark_benchmark: 946.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, build_cpu_time: 0.3394, build_memory: 2192643140, f_measure: 0.8691, kappa: 0.7257, kb_relative_information_score: 72.3806, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8698, predictive_accuracy: 0.87, prior_entropy: 0.9721, recall: 0.87, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.736, scimark_benchmark: 946.2416,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, build_cpu_time: 0.1265, build_memory: 528307386.4, f_measure: 0.8594, kappa: 0.7059, kb_relative_information_score: 69.8383, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8594, predictive_accuracy: 0.86, prior_entropy: 0.9721, recall: 0.86, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7563, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, build_cpu_time: 0.043, build_memory: 1080548350.4, f_measure: 0.8393, kappa: 0.6639, kb_relative_information_score: 66.9268, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8392, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7976, scimark_benchmark: 942.6202,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, build_cpu_time: 0.1382, build_memory: 78482414.4, f_measure: 0.7934, kappa: 0.5652, kb_relative_information_score: 45.3173, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.764, scimark_benchmark: 924.5987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, build_cpu_time: 0.2284, build_memory: 587443028, f_measure: 0.7934, kappa: 0.5652, kb_relative_information_score: 45.8398, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7593, scimark_benchmark: 950.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, build_cpu_time: 0.0521, build_memory: 65062657.6, f_measure: 0.7653, kappa: 0.5064, kb_relative_information_score: 45.7347, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7687, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7648, scimark_benchmark: 939.0077,
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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