Task
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14766 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9614, kappa: 0.9599, kb_relative_information_score: 1652.1879, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9621, predictive_accuracy: 0.9614, prior_entropy: 4.7004, recall: 0.9614, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9668, scimark_benchmark: 915.2795, usercpu_time_millis: 1898600, usercpu_time_millis_testing: 1790350, usercpu_time_millis_training: 108250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9576, kappa: 0.956, kb_relative_information_score: 7464.4366, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9578, predictive_accuracy: 0.9577, prior_entropy: 4.7004, recall: 0.9577, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.2958, scimark_benchmark: 947.0793, usercpu_time_millis: 9811190, usercpu_time_millis_testing: 10750, usercpu_time_millis_training: 9800440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9562, kappa: 0.9545, kb_relative_information_score: 7459.7492, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9564, predictive_accuracy: 0.9563, prior_entropy: 4.7004, recall: 0.9563, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.2984, scimark_benchmark: 915.2795, usercpu_time_millis: 4910660, usercpu_time_millis_testing: 5380, usercpu_time_millis_training: 4905280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9519, kappa: 0.95, kb_relative_information_score: 7425.2992, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9521, predictive_accuracy: 0.9519, prior_entropy: 4.7004, recall: 0.9519, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.06, root_relative_squared_error: 0.3121, scimark_benchmark: 915.2795, usercpu_time_millis: 2443160, usercpu_time_millis_testing: 2700, usercpu_time_millis_training: 2440460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.0191, kappa: 0.0451, kb_relative_information_score: 1443.2242, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0627, predictive_accuracy: 0.0818, prior_entropy: 4.7004, recall: 0.0818, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9826, scimark_benchmark: 947.9494, usercpu_time_millis: 2380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8996, kappa: 0.8956, kb_relative_information_score: 6956.4645, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8998, predictive_accuracy: 0.8996, prior_entropy: 4.7004, recall: 0.8996, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.08, root_relative_squared_error: 0.4163, scimark_benchmark: 918.4924, usercpu_time_millis: 10081220, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 10079770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9336, kappa: 0.9309, kb_relative_information_score: 6974.4912, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9339, predictive_accuracy: 0.9336, prior_entropy: 4.7004, recall: 0.9336, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.3971, scimark_benchmark: 901.0726, usercpu_time_millis: 740530, usercpu_time_millis_testing: 4280, usercpu_time_millis_training: 736250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0029, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142, scimark_benchmark: 933.8635, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9066, kappa: 0.9029, kb_relative_information_score: 7059.6966, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.907, predictive_accuracy: 0.9066, prior_entropy: 4.7004, recall: 0.9066, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3934, scimark_benchmark: 901.0726, usercpu_time_millis: 401250, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 401110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.767, kappa: 0.7571, kb_relative_information_score: 6156.4621, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.769, predictive_accuracy: 0.7664, prior_entropy: 4.7004, recall: 0.7664, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5882, scimark_benchmark: 943.6956, usercpu_time_millis: 78740, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 78150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.898, kappa: 0.8941, kb_relative_information_score: 6624.194, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9006, predictive_accuracy: 0.8982, prior_entropy: 4.7004, recall: 0.8982, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.4848, scimark_benchmark: 943.2745, usercpu_time_millis: 3890, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1421, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 932.3943, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9066, kappa: 0.9029, kb_relative_information_score: 7059.6966, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.907, predictive_accuracy: 0.9066, prior_entropy: 4.7004, recall: 0.9066, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3934, scimark_benchmark: 938.9865, usercpu_time_millis: 349760, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 349710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9272, kappa: 0.9242, kb_relative_information_score: 7295.9457, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9274, predictive_accuracy: 0.9272, prior_entropy: 4.7004, recall: 0.9272, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.3389, scimark_benchmark: 902.4773, usercpu_time_millis: 826920, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 826860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.943, kappa: 0.9406, kb_relative_information_score: 7427.5262, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9433, predictive_accuracy: 0.9429, prior_entropy: 4.7004, recall: 0.9429, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.058, root_relative_squared_error: 0.3015, scimark_benchmark: 924.6116, usercpu_time_millis: 2084890, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2084830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9551, kappa: 0.9532, kb_relative_information_score: 7502.727, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9553, predictive_accuracy: 0.955, prior_entropy: 4.7004, recall: 0.955, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.275, scimark_benchmark: 924.6116, usercpu_time_millis: 3903010, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3902950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9593, kappa: 0.9576, kb_relative_information_score: 7518.6772, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9595, predictive_accuracy: 0.9592, prior_entropy: 4.7004, recall: 0.9592, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.2707, scimark_benchmark: 939.7623, usercpu_time_millis: 4771020, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4770970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 938.4285, usercpu_time_millis: 2420, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 938.2848, usercpu_time_millis: 2980, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 945.6434, usercpu_time_millis: 2780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 923.7642, usercpu_time_millis: 2280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 911.3823, usercpu_time_millis: 3310, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 5519.7413, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.601, scimark_benchmark: 911.3823, usercpu_time_millis: 430330, usercpu_time_millis_testing: 133220, usercpu_time_millis_training: 297110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 5519.7413, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.601, scimark_benchmark: 939.7623, usercpu_time_millis: 451220, usercpu_time_millis_testing: 140600, usercpu_time_millis_training: 310620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 5519.7413, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.601, scimark_benchmark: 908.0036, usercpu_time_millis: 474470, usercpu_time_millis_testing: 146120, usercpu_time_millis_training: 328350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8598, kappa: 0.8558, kb_relative_information_score: 6758.3747, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8702, predictive_accuracy: 0.8614, prior_entropy: 4.7004, recall: 0.8614, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.5194, scimark_benchmark: 931.2336, usercpu_time_millis: 757620, usercpu_time_millis_testing: 286510, usercpu_time_millis_training: 471110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8405, kappa: 0.8341, kb_relative_information_score: 6568.9034, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8411, predictive_accuracy: 0.8405, prior_entropy: 4.7004, recall: 0.8405, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.5543, scimark_benchmark: 1335.643, usercpu_time_millis: 15600, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 15540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1421, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 1505.597, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.139, kappa: 0.1133, kb_relative_information_score: 1068.9119, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.1365, predictive_accuracy: 0.1474, prior_entropy: 4.7004, recall: 0.1474, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.3317, scimark_benchmark: 1465.2979, usercpu_time_millis: 1660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8482, kappa: 0.8421, kb_relative_information_score: 6600.2165, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8487, predictive_accuracy: 0.8481, prior_entropy: 4.7004, recall: 0.8481, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.5517, scimark_benchmark: 1351.788, usercpu_time_millis: 126870, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 126790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0029, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142, scimark_benchmark: 1466.6185, usercpu_time_millis: 421210, usercpu_time_millis_testing: 84100, usercpu_time_millis_training: 337110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8281, kappa: 0.8211, kb_relative_information_score: 6369.9387, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8288, predictive_accuracy: 0.828, prior_entropy: 4.7004, recall: 0.828, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.5509, scimark_benchmark: 1354.2491, usercpu_time_millis: 168640, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 168580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8179, kappa: 0.8097, kb_relative_information_score: 6374.3695, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8204, predictive_accuracy: 0.817, prior_entropy: 4.7004, recall: 0.817, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.5546, scimark_benchmark: 1318.5526, usercpu_time_millis: 6720, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.6685, kappa: 0.6539, kb_relative_information_score: 5170.7683, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6706, predictive_accuracy: 0.6672, prior_entropy: 4.7004, recall: 0.6672, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.16, root_relative_squared_error: 0.832, scimark_benchmark: 1325.942, usercpu_time_millis: 380, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9389, kappa: 0.9365, kb_relative_information_score: 6551.1838, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9395, predictive_accuracy: 0.939, prior_entropy: 4.7004, recall: 0.939, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4707, scimark_benchmark: 1327.8711, usercpu_time_millis: 25650, usercpu_time_millis_testing: 1540, usercpu_time_millis_training: 24110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9552, kappa: 0.9534, kb_relative_information_score: 7443.7978, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9558, predictive_accuracy: 0.9552, prior_entropy: 4.7004, recall: 0.9552, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.3051, scimark_benchmark: 1310.3951, usercpu_time_millis: 470760, usercpu_time_millis_testing: 191560, usercpu_time_millis_training: 279200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.856, kappa: 0.8513, kb_relative_information_score: 6687.9563, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8654, predictive_accuracy: 0.857, prior_entropy: 4.7004, recall: 0.857, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5407, scimark_benchmark: 1329.0249, usercpu_time_millis: 73400, usercpu_time_millis_testing: 34090, usercpu_time_millis_training: 39310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9638, kappa: 0.9624, kb_relative_information_score: 7548.8363, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9639, predictive_accuracy: 0.9638, prior_entropy: 4.7004, recall: 0.9638, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.248, scimark_benchmark: 1321.8733, usercpu_time_millis: 2312020, usercpu_time_millis_testing: 1180, usercpu_time_millis_training: 2310840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.7903, kappa: 0.7857, kb_relative_information_score: 1061.5125, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8073, predictive_accuracy: 0.7939, prior_entropy: 4.7004, recall: 0.7939, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.191, root_relative_squared_error: 0.9934, scimark_benchmark: 1341.994, usercpu_time_millis: 7520, usercpu_time_millis_testing: 6930, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9543, kappa: 0.9525, kb_relative_information_score: 7436.7026, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9544, predictive_accuracy: 0.9543, prior_entropy: 4.7004, recall: 0.9543, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.3082, scimark_benchmark: 854.5188, usercpu_time_millis: 28060, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 27780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9544, kappa: 0.9525, kb_relative_information_score: 7478.4809, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9545, predictive_accuracy: 0.9543, prior_entropy: 4.7004, recall: 0.9543, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.29, scimark_benchmark: 1341.994, usercpu_time_millis: 3397810, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 3397040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.2343, kappa: 0.2656, kb_relative_information_score: 2283.1893, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.2415, predictive_accuracy: 0.2938, prior_entropy: 4.7004, recall: 0.2938, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.9305, scimark_benchmark: 1352.1951, usercpu_time_millis: 62050, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 61930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 6638.8486, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.5527, scimark_benchmark: 1350.9691, usercpu_time_millis: 38090, usercpu_time_millis_testing: 36920, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8509, kappa: 0.8462, kb_relative_information_score: 6649.0817, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8613, predictive_accuracy: 0.8521, prior_entropy: 4.7004, recall: 0.8521, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.5501, scimark_benchmark: 1297.6356, usercpu_time_millis: 38360, usercpu_time_millis_testing: 37170, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7315, kappa: 0.7204, kb_relative_information_score: 5775.7689, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7328, predictive_accuracy: 0.7312, prior_entropy: 4.7004, recall: 0.7312, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.6976, scimark_benchmark: 1326.014, usercpu_time_millis: 5170, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 4990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.688, kappa: 0.6749, kb_relative_information_score: 5391.4134, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.689, predictive_accuracy: 0.6874, prior_entropy: 4.7004, recall: 0.6874, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.7737, scimark_benchmark: 1294.7826, usercpu_time_millis: 81640, usercpu_time_millis_testing: 5280, usercpu_time_millis_training: 76360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.688, kappa: 0.6749, kb_relative_information_score: 5391.4134, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.689, predictive_accuracy: 0.6874, prior_entropy: 4.7004, recall: 0.6874, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.7737, scimark_benchmark: 1353.3179, usercpu_time_millis: 93870, usercpu_time_millis_testing: 16790, usercpu_time_millis_training: 77080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9037, kappa: 0.8998, kb_relative_information_score: 6882.8221, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9047, predictive_accuracy: 0.9037, prior_entropy: 4.7004, recall: 0.9037, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.4155, scimark_benchmark: 1360.2771, usercpu_time_millis: 395880, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 395630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9551, kappa: 0.9532, kb_relative_information_score: 7502.727, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9553, predictive_accuracy: 0.955, prior_entropy: 4.7004, recall: 0.955, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.275, scimark_benchmark: 1316.5986, usercpu_time_millis: 2380430, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2380370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.7782, kappa: 0.7676, kb_relative_information_score: 6057.2709, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.783, predictive_accuracy: 0.7766, prior_entropy: 4.7004, recall: 0.7766, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.6386, scimark_benchmark: 1384.4422, usercpu_time_millis: 250540, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 250500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.4732, kappa: 0.4389, kb_relative_information_score: 2868.4681, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.5145, predictive_accuracy: 0.4604, prior_entropy: 4.7004, recall: 0.4604, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.8888, scimark_benchmark: 1337.3264, usercpu_time_millis: 253830, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 253670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.022, kappa: 0.0395, kb_relative_information_score: 1474.9775, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0148, predictive_accuracy: 0.0764, prior_entropy: 4.7004, recall: 0.0764, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9826, scimark_benchmark: 939.5205, usercpu_time_millis: 89630, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 89600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8646, kappa: 0.8594, kb_relative_information_score: 6730.3738, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8679, predictive_accuracy: 0.8648, prior_entropy: 4.7004, recall: 0.8648, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.102, root_relative_squared_error: 0.5303, scimark_benchmark: 1298.4923, usercpu_time_millis: 478260, usercpu_time_millis_testing: 1370, usercpu_time_millis_training: 476890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8999, kappa: 0.8957, kb_relative_information_score: 6997.8871, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9011, predictive_accuracy: 0.8997, prior_entropy: 4.7004, recall: 0.8997, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.4559, scimark_benchmark: 1331.5882, usercpu_time_millis: 161290, usercpu_time_millis_testing: 161290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7315, kappa: 0.7204, kb_relative_information_score: 5775.7689, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7328, predictive_accuracy: 0.7312, prior_entropy: 4.7004, recall: 0.7312, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.6976, scimark_benchmark: 1330.2021, usercpu_time_millis: 6360, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 6180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8991, kappa: 0.895, kb_relative_information_score: 7027.8444, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9, predictive_accuracy: 0.8991, prior_entropy: 4.7004, recall: 0.8991, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.4504, scimark_benchmark: 1311.3846, usercpu_time_millis: 25070, usercpu_time_millis_testing: 19320, usercpu_time_millis_training: 5750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9221, kappa: 0.919, kb_relative_information_score: 6844.2427, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9226, predictive_accuracy: 0.9222, prior_entropy: 4.7004, recall: 0.9222, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.4144, scimark_benchmark: 1335.6393, usercpu_time_millis: 153820, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 153140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.882, kappa: 0.8773, kb_relative_information_score: 6873.117, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8825, predictive_accuracy: 0.882, prior_entropy: 4.7004, recall: 0.882, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4655, scimark_benchmark: 932.0242, usercpu_time_millis: 1325160, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 1324780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.6786, kappa: 0.7036, kb_relative_information_score: 2472.2269, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.739, predictive_accuracy: 0.715, prior_entropy: 4.7004, recall: 0.715, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.9467, scimark_benchmark: 1338.9438, usercpu_time_millis: 37760080, usercpu_time_millis_testing: 37760080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.7889, kappa: 0.7679, kb_relative_information_score: 6044.7161, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8363, predictive_accuracy: 0.7768, prior_entropy: 4.7004, recall: 0.7768, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.6173, scimark_benchmark: 1298.4923, usercpu_time_millis: 84767800, usercpu_time_millis_testing: 84767800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8182, kappa: 0.8174, kb_relative_information_score: 6411.4328, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8537, predictive_accuracy: 0.8244, prior_entropy: 4.7004, recall: 0.8244, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.6043, scimark_benchmark: 1335.5424, usercpu_time_millis: 539590, usercpu_time_millis_testing: 319100, usercpu_time_millis_training: 220490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7315, kappa: 0.7204, kb_relative_information_score: 5775.7689, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7328, predictive_accuracy: 0.7312, prior_entropy: 4.7004, recall: 0.7312, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.6976, scimark_benchmark: 1249.4068, usercpu_time_millis: 6110, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 5860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.5738, kappa: 0.5808, kb_relative_information_score: 4920.144, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.5983, predictive_accuracy: 0.5969, prior_entropy: 4.7004, recall: 0.5969, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.7533, scimark_benchmark: 1320.9026, usercpu_time_millis: 404660, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 404610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7315, kappa: 0.7204, kb_relative_information_score: 5775.7689, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7328, predictive_accuracy: 0.7312, prior_entropy: 4.7004, recall: 0.7312, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.6976, scimark_benchmark: 1350.2369, usercpu_time_millis: 5960, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 5780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.82, kappa: 0.8129, kb_relative_information_score: 6335.4267, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8214, predictive_accuracy: 0.8201, prior_entropy: 4.7004, recall: 0.8201, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.5858, scimark_benchmark: 1327.2954, usercpu_time_millis: 147830, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 147800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7315, kappa: 0.7204, kb_relative_information_score: 5775.7689, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7328, predictive_accuracy: 0.7312, prior_entropy: 4.7004, recall: 0.7312, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.6976, scimark_benchmark: 1355.2525, usercpu_time_millis: 6620, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 6430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7315, kappa: 0.7204, kb_relative_information_score: 5775.7689, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7328, predictive_accuracy: 0.7312, prior_entropy: 4.7004, recall: 0.7312, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.6976, scimark_benchmark: 1345.7204, usercpu_time_millis: 6100, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 5860,

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