OpenML
Supervised Classification on prnn_synth

Supervised Classification on prnn_synth

Task 3555 Supervised Classification prnn_synth 896 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 146.4851, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6501, scimark_benchmark: 1313.8988, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 161.8442, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6581, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8519, kappa: 0.704, kb_relative_information_score: 150.7194, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8531, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6741, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 146.4851, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6501, scimark_benchmark: 1325.8468, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 158.1036, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6819, scimark_benchmark: 1354.5533, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 143.5247, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6619, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 161.8442, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6581, scimark_benchmark: 1314.2279, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 148.9329, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6705, scimark_benchmark: 1319.952, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 158.1036, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6819, scimark_benchmark: 1308.6872, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8438, kappa: 0.688, kb_relative_information_score: 172, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 1348.1311, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 1316.7198,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 148.9329, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6705, scimark_benchmark: 1327.6367, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 158.1036, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6819, scimark_benchmark: 1324.6608, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 143.5247, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6619, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8519, kappa: 0.704, kb_relative_information_score: 150.7194, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8531, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6741, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 146.4851, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6501, scimark_benchmark: 1347.5461, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 158.1036, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6819, scimark_benchmark: 1352.1128, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8558, kappa: 0.712, kb_relative_information_score: 150.7827, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8583, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6801, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8519, kappa: 0.704, kb_relative_information_score: 150.7194, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8531, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6741, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 148.9329, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6705, scimark_benchmark: 1315.933, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8519, kappa: 0.704, kb_relative_information_score: 150.7194, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8531, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6741, scimark_benchmark: 1350.073,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 182, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8655, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7376, scimark_benchmark: 1339.8573,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 169.3348, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7746, scimark_benchmark: 1366.0221, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 117.2163, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6987, scimark_benchmark: 1366.5423, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 149.4167, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6634, scimark_benchmark: 1334.3805, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 149.4167, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6634, scimark_benchmark: 1322.496, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 151.7105, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6502, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.775, kappa: 0.568, kb_relative_information_score: 91.9266, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8381, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7746, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 149.3325, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6472, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 143.5247, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6619, scimark_benchmark: 885.0921, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8558, kappa: 0.712, kb_relative_information_score: 113.2846, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8583, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6992, scimark_benchmark: 860.584, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 164.1766, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6476, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 150.0762, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.663, scimark_benchmark: 940.0008, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 152.0081, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6567, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 146.3903, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.36, root_relative_squared_error: 0.72, scimark_benchmark: 1321.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 169.603, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8323, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6626, scimark_benchmark: 915.9693, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8399, kappa: 0.68, kb_relative_information_score: 169.0029, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8408, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6521, scimark_benchmark: 935.5075, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 165.9983, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6614, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 168.4556, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6473, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs