Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 246 Supervised Classification mfeat-karhunen 315 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9406, kappa: 0.9293, kb_relative_information_score: 616.0782, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.954, predictive_accuracy: 0.9364, prior_entropy: 3.3219, recall: 0.9364, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3761, scimark_benchmark: 1375.1578, usercpu_time_millis: 13740, usercpu_time_millis_testing: 10290, usercpu_time_millis_training: 3450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9336, kappa: 0.9259, kb_relative_information_score: 614.995, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.349, scimark_benchmark: 1260.1387, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1347.993, usercpu_time_millis: 300, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8243, kappa: 0.8028, kb_relative_information_score: 527.9645, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8303, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 1281.7531, usercpu_time_millis: 127280, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 125780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9336, kappa: 0.9259, kb_relative_information_score: 614.995, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.349, scimark_benchmark: 938.0414, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9744, kappa: 0.9714, kb_relative_information_score: 526.5566, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4484, scimark_benchmark: 1322.7257, usercpu_time_millis: 1680, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 1384.4422, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 932.5646, usercpu_time_millis: 590, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1314.7093, usercpu_time_millis: 300, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 918.0213, usercpu_time_millis: 420, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 1347.993, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1345.7204, usercpu_time_millis: 290, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 933.1165, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9336, kappa: 0.9259, kb_relative_information_score: 614.995, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.349, scimark_benchmark: 1350.073, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9406, kappa: 0.9293, kb_relative_information_score: 616.0782, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.954, predictive_accuracy: 0.9364, prior_entropy: 3.3219, recall: 0.9364, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3761, scimark_benchmark: 1335.643, usercpu_time_millis: 9050, usercpu_time_millis_testing: 5650, usercpu_time_millis_training: 3400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9336, kappa: 0.9259, kb_relative_information_score: 614.995, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.349, scimark_benchmark: 933.1165, usercpu_time_millis: 290, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1342.6911, usercpu_time_millis: 280, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9744, kappa: 0.9714, kb_relative_information_score: 526.5566, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4484, scimark_benchmark: 1345.7204, usercpu_time_millis: 1830, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.885, kappa: 0.872, kb_relative_information_score: 536.7137, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8891, predictive_accuracy: 0.8848, prior_entropy: 3.3219, recall: 0.8848, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4712, scimark_benchmark: 1064.8317, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 1345.7204, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9405, kappa: 0.9342, kb_relative_information_score: 621.9878, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9448, predictive_accuracy: 0.9409, prior_entropy: 3.3219, recall: 0.9409, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1357.5655, usercpu_time_millis: 843920, usercpu_time_millis_testing: 843920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 1350.2369, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8238, kappa: 0.8045, kb_relative_information_score: 531.5307, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.825, predictive_accuracy: 0.8242, prior_entropy: 3.3219, recall: 0.8242, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5896, scimark_benchmark: 1345.842, usercpu_time_millis: 2120, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 1321.5205, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9262, kappa: 0.9174, kb_relative_information_score: 605.109, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9282, predictive_accuracy: 0.9258, prior_entropy: 3.3219, recall: 0.9258, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.3461, scimark_benchmark: 1355.2525, usercpu_time_millis: 4950, usercpu_time_millis_training: 4950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9472, kappa: 0.941, kb_relative_information_score: 499.595, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.948, predictive_accuracy: 0.947, prior_entropy: 3.3219, recall: 0.947, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.4991, scimark_benchmark: 1347.5461, usercpu_time_millis: 9940, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 9650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 950.6776, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6307, kappa: 0.589, kb_relative_information_score: 404.8352, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6349, predictive_accuracy: 0.6303, prior_entropy: 3.3219, recall: 0.6303, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9064, scimark_benchmark: 1349.9917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9593, kappa: 0.9545, kb_relative_information_score: 631.5615, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9601, predictive_accuracy: 0.9591, prior_entropy: 3.3219, recall: 0.9591, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.2559, scimark_benchmark: 1368.9272, usercpu_time_millis: 13650, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 13620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9426, kappa: 0.936, kb_relative_information_score: 499.3375, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9434, predictive_accuracy: 0.9424, prior_entropy: 3.3219, recall: 0.9424, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.5042, scimark_benchmark: 1371.9645, usercpu_time_millis: 2410, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9637, kappa: 0.9596, kb_relative_information_score: 635.582, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9641, predictive_accuracy: 0.9636, prior_entropy: 3.3219, recall: 0.9636, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.2682, scimark_benchmark: 1350.4702, usercpu_time_millis: 41910, usercpu_time_millis_training: 41910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 1331.2332, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.7528, kappa: 0.7255, kb_relative_information_score: 490.3984, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7588, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7054, scimark_benchmark: 1314.0383, usercpu_time_millis: 490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9406, kappa: 0.9293, kb_relative_information_score: 616.0782, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.954, predictive_accuracy: 0.9364, prior_entropy: 3.3219, recall: 0.9364, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3761, scimark_benchmark: 1086.8793, usercpu_time_millis: 8630, usercpu_time_millis_testing: 4690, usercpu_time_millis_training: 3940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9472, kappa: 0.941, kb_relative_information_score: 623.3985, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.949, predictive_accuracy: 0.947, prior_entropy: 3.3219, recall: 0.947, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.103, root_relative_squared_error: 0.3433, scimark_benchmark: 1268.9931, usercpu_time_millis: 610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9711, kappa: 0.968, kb_relative_information_score: 638.2745, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9727, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.2521, scimark_benchmark: 1331.5882, usercpu_time_millis: 1500, usercpu_time_millis_testing: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9711, kappa: 0.968, kb_relative_information_score: 640.1306, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9727, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2529, scimark_benchmark: 932.0242, usercpu_time_millis: 5730, usercpu_time_millis_testing: 5730,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.6135, kappa: 0.6382, kb_relative_information_score: 229.3778, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7065, predictive_accuracy: 0.6758, prior_entropy: 3.3219, recall: 0.6758, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.8904, scimark_benchmark: 1370.6464, usercpu_time_millis: 237060, usercpu_time_millis_testing: 237060,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 932.0242, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 942.9518, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 933.3136, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9619, kappa: 0.9579, kb_relative_information_score: 632.7223, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.963, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2457, scimark_benchmark: 930.5999, usercpu_time_millis: 3250, usercpu_time_millis_testing: 3250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9696, kappa: 0.9663, kb_relative_information_score: 637.2721, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9707, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.2377, scimark_benchmark: 882.7843, usercpu_time_millis: 3820, usercpu_time_millis_testing: 3820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.922, kappa: 0.9124, kb_relative_information_score: 193.1217, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9263, predictive_accuracy: 0.9212, prior_entropy: 3.3219, recall: 0.9212, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9114, scimark_benchmark: 930.5999, usercpu_time_millis: 18100, usercpu_time_millis_testing: 14170, usercpu_time_millis_training: 3930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9697, kappa: 0.9663, kb_relative_information_score: 195.9915, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9702, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9082, scimark_benchmark: 1287.514, usercpu_time_millis: 630, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9593, kappa: 0.9545, kb_relative_information_score: 631.5615, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9601, predictive_accuracy: 0.9591, prior_entropy: 3.3219, recall: 0.9591, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.2559, scimark_benchmark: 938.202, usercpu_time_millis: 5150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9442, kappa: 0.9377, kb_relative_information_score: 621.307, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9461, predictive_accuracy: 0.9439, prior_entropy: 3.3219, recall: 0.9439, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.353, scimark_benchmark: 1304.9611, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9336, kappa: 0.9259, kb_relative_information_score: 614.995, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.349, scimark_benchmark: 1363.434, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8243, kappa: 0.8028, kb_relative_information_score: 527.9645, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8303, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 1319.5177, usercpu_time_millis: 115940, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 114490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9744, kappa: 0.9714, kb_relative_information_score: 526.5566, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4484, scimark_benchmark: 1346.9602, usercpu_time_millis: 2160, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7108, kappa: 0.6768, kb_relative_information_score: 459.2146, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7207, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.804, scimark_benchmark: 1280.6952, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.7737, kappa: 0.7473, kb_relative_information_score: 484.1477, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.779, predictive_accuracy: 0.7727, prior_entropy: 3.3219, recall: 0.7727, relative_absolute_error: 0.3363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.6379, scimark_benchmark: 1319.6463, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8139, kappa: 0.7928, kb_relative_information_score: 514.2624, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8174, predictive_accuracy: 0.8136, prior_entropy: 3.3219, recall: 0.8136, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5903, scimark_benchmark: 1341.5768, usercpu_time_millis: 2580, usercpu_time_millis_training: 2580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9137, kappa: 0.904, kb_relative_information_score: 600.3918, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9197, predictive_accuracy: 0.9136, prior_entropy: 3.3219, recall: 0.9136, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.4381, scimark_benchmark: 1442.7264, usercpu_time_millis: 1600, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.0328, kappa: 0.0052, kb_relative_information_score: 52.4149, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3057, predictive_accuracy: 0.1197, prior_entropy: 3.3219, recall: 0.1197, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.3987, scimark_benchmark: 1368.9272, usercpu_time_millis: 3030, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8277, kappa: 0.8079, kb_relative_information_score: 538.93, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8324, predictive_accuracy: 0.8273, prior_entropy: 3.3219, recall: 0.8273, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.6061, scimark_benchmark: 1341.2341, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.2928, kappa: 0.217, kb_relative_information_score: 172.677, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3146, predictive_accuracy: 0.2939, prior_entropy: 3.3219, recall: 0.2939, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.2526, scimark_benchmark: 1465.2979, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8409, kappa: 0.8231, kb_relative_information_score: 550.1955, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8474, predictive_accuracy: 0.8409, prior_entropy: 3.3219, recall: 0.8409, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.5946, scimark_benchmark: 1028.5889, usercpu_time_millis: 42130, usercpu_time_millis_training: 42130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8411, kappa: 0.8231, kb_relative_information_score: 549.2765, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8448, predictive_accuracy: 0.8409, prior_entropy: 3.3219, recall: 0.8409, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5703, scimark_benchmark: 1066.833, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, build_cpu_time: 19.568, build_memory: 365642800, f_measure: 0.9469, kappa: 0.941, kb_relative_information_score: 623.8541, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9479, predictive_accuracy: 0.947, prior_entropy: 3.3219, recall: 0.947, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.341, scimark_benchmark: 944.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 7.97, build_memory: 860612880, f_measure: 0.9605, kappa: 0.9562, kb_relative_information_score: 631.9193, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9611, predictive_accuracy: 0.9606, prior_entropy: 3.3219, recall: 0.9606, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.2986, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 5.637, build_memory: 784489264, f_measure: 0.9606, kappa: 0.9562, kb_relative_information_score: 633.696, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9613, predictive_accuracy: 0.9606, prior_entropy: 3.3219, recall: 0.9606, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2867, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 2.293, build_memory: 515697664, f_measure: 0.9304, kappa: 0.9225, kb_relative_information_score: 609.0471, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9312, predictive_accuracy: 0.9303, prior_entropy: 3.3219, recall: 0.9303, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.3356, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 4.936, build_memory: 992941784, f_measure: 0.9485, kappa: 0.9427, kb_relative_information_score: 625.7492, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9488, predictive_accuracy: 0.9485, prior_entropy: 3.3219, recall: 0.9485, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.2949, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 10.062, build_memory: 396253240, f_measure: 0.9609, kappa: 0.9562, kb_relative_information_score: 634.2255, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9618, predictive_accuracy: 0.9606, prior_entropy: 3.3219, recall: 0.9606, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.2671, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 20.996, build_memory: 51079176, f_measure: 0.9668, kappa: 0.9629, kb_relative_information_score: 638.8608, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 3.3219, recall: 0.9667, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.2511, scimark_benchmark: 925.181,

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