OpenML
Supervised Classification on letter

Supervised Classification on letter

Task 6 Supervised Classification letter 35040 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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35040 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8258, kappa: 0.8187, kb_relative_information_score: 16602.3443, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8334, predictive_accuracy: 0.8257, prior_entropy: 4.6998, recall: 0.8257, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9327, kappa: 0.9298, kb_relative_information_score: 4211.02, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9335, predictive_accuracy: 0.9325, prior_entropy: 4.6998, recall: 0.9325, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 19205.1165, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.7761, kappa: 0.764, kb_relative_information_score: 4021.0675, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7896, predictive_accuracy: 0.7731, prior_entropy: 4.6998, recall: 0.7731, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.7929, kappa: 0.7848, kb_relative_information_score: 15246.763, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8041, predictive_accuracy: 0.7931, prior_entropy: 4.6998, recall: 0.7931, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.959, kappa: 0.9574, kb_relative_information_score: 19249.1721, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9592, predictive_accuracy: 0.9591, prior_entropy: 4.6998, recall: 0.9591, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8454, kappa: 0.839, kb_relative_information_score: 16977.6418, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8507, predictive_accuracy: 0.8452, prior_entropy: 4.6998, recall: 0.8452, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.5312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.7797, kappa: 0.7722, kb_relative_information_score: 14847.5682, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7936, predictive_accuracy: 0.781, prior_entropy: 4.6998, recall: 0.781, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8234, kappa: 0.816, kb_relative_information_score: 16505.1603, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8316, predictive_accuracy: 0.8231, prior_entropy: 4.6998, recall: 0.8231, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.796, kappa: 0.7859, kb_relative_information_score: 15115.9645, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8068, predictive_accuracy: 0.7942, prior_entropy: 4.6998, recall: 0.7942, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8438, kappa: 0.8369, kb_relative_information_score: 16879.0089, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8515, predictive_accuracy: 0.8432, prior_entropy: 4.6998, recall: 0.8432, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8116, kappa: 0.8022, kb_relative_information_score: 15569.5214, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8223, predictive_accuracy: 0.8098, prior_entropy: 4.6998, recall: 0.8098, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8828, kappa: 0.878, kb_relative_information_score: 17726.9654, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8832, predictive_accuracy: 0.8827, prior_entropy: 4.6998, recall: 0.8827, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.089, root_relative_squared_error: 0.4629, scimark_benchmark: 1521.7778, usercpu_time_millis: 1060, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9565, kappa: 0.9547, kb_relative_information_score: 18512.6019, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9567, predictive_accuracy: 0.9565, prior_entropy: 4.6998, recall: 0.9565, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.3244, scimark_benchmark: 1572.4303, usercpu_time_millis: 10540, usercpu_time_millis_testing: 3760, usercpu_time_millis_training: 6780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9585, kappa: 0.9568, kb_relative_information_score: 18596.9422, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 4.6998, recall: 0.9585, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.3154, scimark_benchmark: 1515.7455, usercpu_time_millis: 8630, usercpu_time_millis_testing: 3540, usercpu_time_millis_training: 5090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9354, kappa: 0.9328, kb_relative_information_score: 18488.4396, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9357, predictive_accuracy: 0.9354, prior_entropy: 4.6998, recall: 0.9354, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.3403, scimark_benchmark: 1531.4036, usercpu_time_millis: 17060, usercpu_time_millis_testing: 3150, usercpu_time_millis_training: 13910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9349, kappa: 0.9322, kb_relative_information_score: 18549.6104, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9351, predictive_accuracy: 0.9348, prior_entropy: 4.6998, recall: 0.9348, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.3364, scimark_benchmark: 1499.7741, usercpu_time_millis: 15580, usercpu_time_millis_testing: 3460, usercpu_time_millis_training: 12120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9404, kappa: 0.9379, kb_relative_information_score: 17693.2815, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9411, predictive_accuracy: 0.9403, prior_entropy: 4.6998, recall: 0.9403, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.4022, scimark_benchmark: 1752.1628, usercpu_time_millis: 8410, usercpu_time_millis_testing: 2820, usercpu_time_millis_training: 5590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9446, kappa: 0.9423, kb_relative_information_score: 17887.776, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9451, predictive_accuracy: 0.9445, prior_entropy: 4.6998, recall: 0.9445, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.3843, scimark_benchmark: 1791.7472, usercpu_time_millis: 7640, usercpu_time_millis_testing: 3110, usercpu_time_millis_training: 4530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9102, kappa: 0.9064, kb_relative_information_score: 17816.5064, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.911, predictive_accuracy: 0.91, prior_entropy: 4.6998, recall: 0.91, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.4037, scimark_benchmark: 1145.6949, usercpu_time_millis: 17260, usercpu_time_millis_testing: 2900, usercpu_time_millis_training: 14360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9143, kappa: 0.9108, kb_relative_information_score: 17986.4091, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9148, predictive_accuracy: 0.9142, prior_entropy: 4.6998, recall: 0.9142, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.3897, scimark_benchmark: 1782.3526, usercpu_time_millis: 13360, usercpu_time_millis_testing: 2640, usercpu_time_millis_training: 10720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8735, kappa: 0.8683, kb_relative_information_score: 17526.2858, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8741, predictive_accuracy: 0.8734, prior_entropy: 4.6998, recall: 0.8734, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.091, root_relative_squared_error: 0.4733, scimark_benchmark: 1831.1496, usercpu_time_millis: 840, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8839, kappa: 0.8791, kb_relative_information_score: 17756.785, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8843, predictive_accuracy: 0.8838, prior_entropy: 4.6998, recall: 0.8838, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.4608, scimark_benchmark: 1642.3416, usercpu_time_millis: 1050, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.7923, kappa: 0.7831, kb_relative_information_score: 16045.0032, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7945, predictive_accuracy: 0.7915, prior_entropy: 4.6998, recall: 0.7915, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.5628, scimark_benchmark: 1402.5498, usercpu_time_millis: 790, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.7945, kappa: 0.7858, kb_relative_information_score: 16180.1214, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7961, predictive_accuracy: 0.7941, prior_entropy: 4.6998, recall: 0.7941, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.5558, scimark_benchmark: 1528.2325, usercpu_time_millis: 620, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.7979, kappa: 0.7893, kb_relative_information_score: 4080.5025, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8027, predictive_accuracy: 0.7975, prior_entropy: 4.6998, recall: 0.7975, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.9679, scimark_benchmark: 1501.2135, usercpu_time_millis: 9130, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 8830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7712, kappa: 0.7606, kb_relative_information_score: 4017.4008, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7805, predictive_accuracy: 0.7699, prior_entropy: 4.6998, recall: 0.7699, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.969, scimark_benchmark: 1436.6624, usercpu_time_millis: 395360, usercpu_time_millis_testing: 294720, usercpu_time_millis_training: 100640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.829, kappa: 0.8216, kb_relative_information_score: 4112.2553, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8341, predictive_accuracy: 0.8285, prior_entropy: 4.6998, recall: 0.8285, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.9677, scimark_benchmark: 1355.3336, usercpu_time_millis: 240660, usercpu_time_millis_testing: 180030, usercpu_time_millis_training: 60630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.0033, kappa: 0.0001, kb_relative_information_score: 1200.598, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0018, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1933, root_relative_squared_error: 1.0053, scimark_benchmark: 1376.7421, usercpu_time_millis: 3627910, usercpu_time_millis_testing: 1816910, usercpu_time_millis_training: 1811000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.5123, kappa: 0.5208, kb_relative_information_score: 3662.5183, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.594, predictive_accuracy: 0.5394, prior_entropy: 4.6998, recall: 0.5394, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736, scimark_benchmark: 1589.2005, usercpu_time_millis: 2045480, usercpu_time_millis_testing: 1317180, usercpu_time_millis_training: 728300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8324, kappa: 0.8252, kb_relative_information_score: 16772.0143, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8336, predictive_accuracy: 0.832, prior_entropy: 4.6998, recall: 0.832, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.5178, scimark_benchmark: 1522.2674, usercpu_time_millis: 750, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8337, kappa: 0.8268, kb_relative_information_score: 16876.5977, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8344, predictive_accuracy: 0.8335, prior_entropy: 4.6998, recall: 0.8335, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.5126, scimark_benchmark: 1538.0836, usercpu_time_millis: 760, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8336, kappa: 0.8267, kb_relative_information_score: 16915.434, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8343, predictive_accuracy: 0.8334, prior_entropy: 4.6998, recall: 0.8334, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.5109, scimark_benchmark: 1687.9399, usercpu_time_millis: 560, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.7942, kappa: 0.7854, kb_relative_information_score: 16147.8567, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7959, predictive_accuracy: 0.7937, prior_entropy: 4.6998, recall: 0.7937, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.5574, scimark_benchmark: 1629.3262, usercpu_time_millis: 580, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.6792, kappa: 0.6696, kb_relative_information_score: 3896.8474, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6971, predictive_accuracy: 0.6824, prior_entropy: 4.6998, recall: 0.6824, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.9707, scimark_benchmark: 1647.0518, usercpu_time_millis: 3270, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 2970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.7795, kappa: 0.7698, kb_relative_information_score: 4042.5072, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7863, predictive_accuracy: 0.7787, prior_entropy: 4.6998, recall: 0.7787, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.9686, scimark_benchmark: 1434.5721, usercpu_time_millis: 4530, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 4260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.8849, kappa: 0.8797, kb_relative_information_score: 4172.2827, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8873, predictive_accuracy: 0.8844, prior_entropy: 4.6998, recall: 0.8844, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9668, scimark_benchmark: 1527.7788, usercpu_time_millis: 166360, usercpu_time_millis_testing: 114530, usercpu_time_millis_training: 51830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.7271, kappa: 0.7144, kb_relative_information_score: 3956.3376, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7403, predictive_accuracy: 0.7255, prior_entropy: 4.6998, recall: 0.7255, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.9699, scimark_benchmark: 1466.8279, usercpu_time_millis: 764190, usercpu_time_millis_testing: 605350, usercpu_time_millis_training: 158840,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8502, kappa: 0.8438, kb_relative_information_score: 4140.8321, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8524, predictive_accuracy: 0.8498, prior_entropy: 4.6998, recall: 0.8498, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.9671, scimark_benchmark: 1498.8752, usercpu_time_millis: 12540, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 12210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8272, kappa: 0.8188, kb_relative_information_score: 4100.234, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8345, predictive_accuracy: 0.8258, prior_entropy: 4.6998, recall: 0.8258, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.968, scimark_benchmark: 1498.2984, usercpu_time_millis: 372870, usercpu_time_millis_testing: 286450, usercpu_time_millis_training: 86420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.885, kappa: 0.8799, kb_relative_information_score: 4172.3715, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8875, predictive_accuracy: 0.8846, prior_entropy: 4.6998, recall: 0.8846, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9669, scimark_benchmark: 1595.0337, usercpu_time_millis: 230730, usercpu_time_millis_testing: 170000, usercpu_time_millis_training: 60730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9327, kappa: 0.9298, kb_relative_information_score: 4211.0695, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9335, predictive_accuracy: 0.9326, prior_entropy: 4.6998, recall: 0.9326, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.9662, scimark_benchmark: 1536.2788, usercpu_time_millis: 174820, usercpu_time_millis_testing: 120760, usercpu_time_millis_training: 54060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.0075, kappa: 0.0025, kb_relative_information_score: 1245.2749, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0297, predictive_accuracy: 0.043, prior_entropy: 4.6998, recall: 0.043, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1932, root_relative_squared_error: 1.0044, scimark_benchmark: 1479.6576, usercpu_time_millis: 4126570, usercpu_time_millis_testing: 2147800, usercpu_time_millis_training: 1978770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.5361, kappa: 0.5366, kb_relative_information_score: 3714.7742, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6181, predictive_accuracy: 0.5546, prior_entropy: 4.6998, recall: 0.5546, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.973, scimark_benchmark: 1583.8901, usercpu_time_millis: 2043370, usercpu_time_millis_testing: 1447640, usercpu_time_millis_training: 595730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.7945, kappa: 0.7858, kb_relative_information_score: 16180.1214, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7961, predictive_accuracy: 0.7941, prior_entropy: 4.6998, recall: 0.7941, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.5558, scimark_benchmark: 1525.784, usercpu_time_millis: 790, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.6798, kappa: 0.6702, kb_relative_information_score: 3897.0408, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6978, predictive_accuracy: 0.683, prior_entropy: 4.6998, recall: 0.683, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.9707, scimark_benchmark: 1478.8314, usercpu_time_millis: 2850, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.7793, kappa: 0.7696, kb_relative_information_score: 4042.2677, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7861, predictive_accuracy: 0.7785, prior_entropy: 4.6998, recall: 0.7785, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.9686, scimark_benchmark: 1550.7784, usercpu_time_millis: 5690, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 5380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.7981, kappa: 0.7895, kb_relative_information_score: 4080.5327, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8028, predictive_accuracy: 0.7976, prior_entropy: 4.6998, recall: 0.7976, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.9679, scimark_benchmark: 1509.6548, usercpu_time_millis: 10640, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 10350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7712, kappa: 0.7606, kb_relative_information_score: 4017.3712, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7805, predictive_accuracy: 0.7699, prior_entropy: 4.6998, recall: 0.7699, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.969, scimark_benchmark: 1597.5295, usercpu_time_millis: 391410, usercpu_time_millis_testing: 288750, usercpu_time_millis_training: 102660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8289, kappa: 0.8215, kb_relative_information_score: 4112.2134, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.834, predictive_accuracy: 0.8284, prior_entropy: 4.6998, recall: 0.8284, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.9677, scimark_benchmark: 1489.4274, usercpu_time_millis: 247530, usercpu_time_millis_testing: 188880, usercpu_time_millis_training: 58650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.8848, kappa: 0.8796, kb_relative_information_score: 4172.173, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8872, predictive_accuracy: 0.8843, prior_entropy: 4.6998, recall: 0.8843, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9668, scimark_benchmark: 1588.1494, usercpu_time_millis: 174320, usercpu_time_millis_testing: 126810, usercpu_time_millis_training: 47510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.0033, kappa: 0.0001, kb_relative_information_score: 1200.598, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0018, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1933, root_relative_squared_error: 1.0053, scimark_benchmark: 1546.2589, usercpu_time_millis: 3684650, usercpu_time_millis_testing: 1857150, usercpu_time_millis_training: 1827500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.5115, kappa: 0.5202, kb_relative_information_score: 3662.1264, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5922, predictive_accuracy: 0.5389, prior_entropy: 4.6998, recall: 0.5389, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736, scimark_benchmark: 1556.1082, usercpu_time_millis: 2040980, usercpu_time_millis_testing: 1321220, usercpu_time_millis_training: 719760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.727, kappa: 0.7143, kb_relative_information_score: 3956.3367, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7402, predictive_accuracy: 0.7253, prior_entropy: 4.6998, recall: 0.7253, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.9699, scimark_benchmark: 1551.5535, usercpu_time_millis: 865660, usercpu_time_millis_testing: 705560, usercpu_time_millis_training: 160100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9398, kappa: 0.9372, kb_relative_information_score: 18737.4949, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9405, predictive_accuracy: 0.9397, prior_entropy: 4.6998, recall: 0.9397, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.063, root_relative_squared_error: 0.3275, scimark_benchmark: 1555.6158, usercpu_time_millis: 35920, usercpu_time_millis_testing: 35780, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9601, kappa: 0.9585, kb_relative_information_score: 19206.33, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9603, predictive_accuracy: 0.9601, prior_entropy: 4.6998, recall: 0.9601, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.2844, scimark_benchmark: 1502.5884, usercpu_time_millis: 26140, usercpu_time_millis_testing: 25910, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9521, kappa: 0.9501, kb_relative_information_score: 19233.8886, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9526, predictive_accuracy: 0.952, prior_entropy: 4.6998, recall: 0.952, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.2744, scimark_benchmark: 1540.1155, usercpu_time_millis: 32850, usercpu_time_millis_testing: 32660, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.93, kappa: 0.9269, kb_relative_information_score: 18584.5122, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9311, predictive_accuracy: 0.9297, prior_entropy: 4.6998, recall: 0.9297, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.3494, scimark_benchmark: 1548.5553, usercpu_time_millis: 38990, usercpu_time_millis_testing: 38810, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.7385, kappa: 0.7294, kb_relative_information_score: 14107.8236, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7619, predictive_accuracy: 0.7399, prior_entropy: 4.6998, recall: 0.7399, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.654, scimark_benchmark: 1494.323, usercpu_time_millis: 32650, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 32450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.7564, kappa: 0.7484, kb_relative_information_score: 14501.171, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.781, predictive_accuracy: 0.7582, prior_entropy: 4.6998, recall: 0.7582, relative_absolute_error: 0.4373, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.6316, scimark_benchmark: 1442.6201, usercpu_time_millis: 45180, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 44950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.7722, kappa: 0.7651, kb_relative_information_score: 15482.8248, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7937, predictive_accuracy: 0.7742, prior_entropy: 4.6998, recall: 0.7742, relative_absolute_error: 0.2902, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.6253, scimark_benchmark: 1545.8032, usercpu_time_millis: 31090, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 30860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8017, kappa: 0.7976, kb_relative_information_score: 16099.5001, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.82, predictive_accuracy: 0.8054, prior_entropy: 4.6998, recall: 0.8054, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.5821, scimark_benchmark: 1520.3276, usercpu_time_millis: 45210, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 44950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.0032, kb_relative_information_score: 1.6782, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0017, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 1476.8204, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.0918, kappa: 0.1383, kb_relative_information_score: 3226.6006, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.068, predictive_accuracy: 0.172, prior_entropy: 4.6998, recall: 0.172, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.3124, scimark_benchmark: 1434.8401, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8459, kappa: 0.8394, kb_relative_information_score: 17035.8335, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8467, predictive_accuracy: 0.8456, prior_entropy: 4.6998, recall: 0.8456, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.5035, scimark_benchmark: 1428.5587, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8612, kappa: 0.8555, kb_relative_information_score: 17186.9597, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8614, predictive_accuracy: 0.8611, prior_entropy: 4.6998, recall: 0.8611, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.5375, scimark_benchmark: 1565.6953, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,

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