Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 3886 Supervised Classification soybean 513 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9574, kappa: 0.817, kb_relative_information_score: 452.312, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9574, predictive_accuracy: 0.9575, prior_entropy: 0.573, recall: 0.9575, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5018, scimark_benchmark: 1337.7902, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9706, kappa: 0.8732, kb_relative_information_score: 546.3726, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9705, predictive_accuracy: 0.9707, prior_entropy: 0.573, recall: 0.9707, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.4646, scimark_benchmark: 1303.5632, usercpu_time_millis: 2670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1320.8688, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9753, kappa: 0.8947, kb_relative_information_score: 571.5647, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9755, predictive_accuracy: 0.9751, prior_entropy: 0.573, recall: 0.9751, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4177, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1327.6367, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9776, kappa: 0.9017, kb_relative_information_score: 523.7142, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9778, predictive_accuracy: 0.978, prior_entropy: 0.573, recall: 0.978, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4008, scimark_benchmark: 1336.4564, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.976, kappa: 0.8947, kb_relative_information_score: 582.8468, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9764, predictive_accuracy: 0.9766, prior_entropy: 0.573, recall: 0.9766, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.3612, scimark_benchmark: 1297.2338, usercpu_time_millis: 6670, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 6450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9776, kappa: 0.9017, kb_relative_information_score: 523.7142, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9778, predictive_accuracy: 0.978, prior_entropy: 0.573, recall: 0.978, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4008, scimark_benchmark: 1281.7531, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9011, kappa: 0.6248, kb_relative_information_score: 235.142, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9234, predictive_accuracy: 0.8917, prior_entropy: 0.573, recall: 0.8917, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.7977, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.976, kappa: 0.8947, kb_relative_information_score: 582.8468, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9764, predictive_accuracy: 0.9766, prior_entropy: 0.573, recall: 0.9766, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.3612, scimark_benchmark: 1393.8432, usercpu_time_millis: 3550, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 3320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1331.1314, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9753, kappa: 0.8947, kb_relative_information_score: 571.5647, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9755, predictive_accuracy: 0.9751, prior_entropy: 0.573, recall: 0.9751, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4177, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9011, kappa: 0.6248, kb_relative_information_score: 235.142, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9234, predictive_accuracy: 0.8917, prior_entropy: 0.573, recall: 0.8917, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.7977, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9706, kappa: 0.8732, kb_relative_information_score: 546.3726, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9705, predictive_accuracy: 0.9707, prior_entropy: 0.573, recall: 0.9707, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.4646, scimark_benchmark: 1324.6442, usercpu_time_millis: 2660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9011, kappa: 0.6248, kb_relative_information_score: 235.142, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9234, predictive_accuracy: 0.8917, prior_entropy: 0.573, recall: 0.8917, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.7977, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.9456, kappa: 0.7497, kb_relative_information_score: 496.1909, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9519, predictive_accuracy: 0.9502, prior_entropy: 0.573, recall: 0.9502, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.6535, scimark_benchmark: 1327.5842, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9765, kappa: 0.8986, kb_relative_information_score: 423.8794, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9764, predictive_accuracy: 0.9766, prior_entropy: 0.573, recall: 0.9766, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.452, scimark_benchmark: 1292.514, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.9456, kappa: 0.7497, kb_relative_information_score: 496.1909, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9519, predictive_accuracy: 0.9502, prior_entropy: 0.573, recall: 0.9502, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.6535, scimark_benchmark: 1342.8584, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9776, kappa: 0.9017, kb_relative_information_score: 523.7142, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9778, predictive_accuracy: 0.978, prior_entropy: 0.573, recall: 0.978, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4008, scimark_benchmark: 1296.8947, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1340.9749, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9011, kappa: 0.6248, kb_relative_information_score: 235.142, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9234, predictive_accuracy: 0.8917, prior_entropy: 0.573, recall: 0.8917, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.7977, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9765, kappa: 0.8986, kb_relative_information_score: 423.8794, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9764, predictive_accuracy: 0.9766, prior_entropy: 0.573, recall: 0.9766, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.452, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.8466, kb_relative_information_score: 466.0391, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9656, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4996, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9299, kappa: 0.7218, kb_relative_information_score: 308.6407, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9408, predictive_accuracy: 0.9253, prior_entropy: 0.573, recall: 0.9253, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.6476, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9668, kappa: 0.86, kb_relative_information_score: 500.9473, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9677, predictive_accuracy: 0.9663, prior_entropy: 0.573, recall: 0.9663, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.4969, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.8028, kb_relative_information_score: -543.6816, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.573, recall: 0.8653, relative_absolute_error: 1.1928, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3628, root_relative_squared_error: 1.0628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.8028, kb_relative_information_score: -2.7118, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.573, recall: 0.8653, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3414, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9589, kappa: 0.8296, kb_relative_information_score: 384.5074, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9618, predictive_accuracy: 0.9575, prior_entropy: 0.573, recall: 0.9575, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.5546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.9456, kappa: 0.7497, kb_relative_information_score: 496.1909, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9519, predictive_accuracy: 0.9502, prior_entropy: 0.573, recall: 0.9502, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.6535, scimark_benchmark: 947.1781, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9512, kappa: 0.7831, kb_relative_information_score: 421.8872, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9516, predictive_accuracy: 0.9531, prior_entropy: 0.573, recall: 0.9531, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.5414, scimark_benchmark: 1447.2612, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9595, kappa: 0.8289, kb_relative_information_score: 517.3599, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9604, predictive_accuracy: 0.959, prior_entropy: 0.573, recall: 0.959, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9883, kappa: 0.9502, kb_relative_information_score: 636.4491, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.573, recall: 0.9883, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.317, scimark_benchmark: 1059.0318, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9594, kappa: 0.8273, kb_relative_information_score: 509.6465, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9599, predictive_accuracy: 0.959, prior_entropy: 0.573, recall: 0.959, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.5488, scimark_benchmark: 937.3668, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9612, kappa: 0.8305, kb_relative_information_score: 515.9182, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.961, predictive_accuracy: 0.9619, prior_entropy: 0.573, recall: 0.9619, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.4778, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9854, kappa: 0.9372, kb_relative_information_score: 626.1032, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.573, recall: 0.9854, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9837, kappa: 0.9293, kb_relative_information_score: 571.1284, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9837, predictive_accuracy: 0.9839, prior_entropy: 0.573, recall: 0.9839, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.338, scimark_benchmark: 936.2574, usercpu_time_millis: 7960, usercpu_time_millis_testing: 3570, usercpu_time_millis_training: 4390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9822, kappa: 0.9225, kb_relative_information_score: 574.1457, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9823, predictive_accuracy: 0.9824, prior_entropy: 0.573, recall: 0.9824, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.3337, scimark_benchmark: 931.7096, usercpu_time_millis: 17140, usercpu_time_millis_testing: 7440, usercpu_time_millis_training: 9700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9776, kappa: 0.9017, kb_relative_information_score: 523.7142, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9778, predictive_accuracy: 0.978, prior_entropy: 0.573, recall: 0.978, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4008, scimark_benchmark: 936.3213, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9706, kappa: 0.8732, kb_relative_information_score: 546.3726, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9705, predictive_accuracy: 0.9707, prior_entropy: 0.573, recall: 0.9707, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.4646, scimark_benchmark: 926.5462, usercpu_time_millis: 2570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9776, kappa: 0.9017, kb_relative_information_score: 523.7142, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9778, predictive_accuracy: 0.978, prior_entropy: 0.573, recall: 0.978, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4008, scimark_benchmark: 935.627, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8416, kappa: 0.2188, kb_relative_information_score: 227.6627, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.8522, predictive_accuracy: 0.8755, prior_entropy: 0.573, recall: 0.8755, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.9897, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9753, kappa: 0.8947, kb_relative_information_score: 571.5647, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9755, predictive_accuracy: 0.9751, prior_entropy: 0.573, recall: 0.9751, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4177, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8028, kb_relative_information_score: 183.3071, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.573, recall: 0.8653, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.367, root_relative_squared_error: 1.075, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9852, kappa: 0.936, kb_relative_information_score: 577.6932, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9852, predictive_accuracy: 0.9854, prior_entropy: 0.573, recall: 0.9854, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.3217, scimark_benchmark: 930.2337, usercpu_time_millis: 4090, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9822, kappa: 0.9225, kb_relative_information_score: 566.6249, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.9823, predictive_accuracy: 0.9824, prior_entropy: 0.573, recall: 0.9824, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.3453, scimark_benchmark: 934.929, usercpu_time_millis: 860, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.9059, kappa: 0.5721, kb_relative_information_score: 381.9147, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2339, number_of_instances: 683, precision: 0.905, predictive_accuracy: 0.9122, prior_entropy: 0.573, recall: 0.9122, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.7505, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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