Task
Supervised Classification on SPECTF

Supervised Classification on SPECTF

Task 3496 Supervised Classification SPECTF 535 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, build_cpu_time: 0.2173, build_memory: 3084264101.3639, f_measure: 0.8927, kappa: 0.734, kb_relative_information_score: 178.3892, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.896, predictive_accuracy: 0.8911, prior_entropy: 0.8464, recall: 0.8911, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.652, scimark_benchmark: 942.5642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8844, kappa: 0.7139, kb_relative_information_score: 185.4365, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8883, predictive_accuracy: 0.8825, prior_entropy: 0.8464, recall: 0.8825, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6801, scimark_benchmark: 1347.5461, usercpu_time_millis: 1510, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8011, kappa: 0.5455, kb_relative_information_score: 141.8164, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8421, predictive_accuracy: 0.7908, prior_entropy: 0.8464, recall: 0.7908, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.982, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8177, kappa: 0.5521, kb_relative_information_score: 149.8155, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8249, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8641, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8541, kappa: 0.6324, kb_relative_information_score: 147.6042, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8544, predictive_accuracy: 0.8539, prior_entropy: 0.8464, recall: 0.8539, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.7142, scimark_benchmark: 1335.2021, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8844, kappa: 0.7139, kb_relative_information_score: 185.4365, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8883, predictive_accuracy: 0.8825, prior_entropy: 0.8464, recall: 0.8825, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6801, scimark_benchmark: 1330.4755, usercpu_time_millis: 1220, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1322.2005, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8844, kappa: 0.7139, kb_relative_information_score: 185.4365, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8883, predictive_accuracy: 0.8825, prior_entropy: 0.8464, recall: 0.8825, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6801, scimark_benchmark: 1354.3488, usercpu_time_millis: 1480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8844, kappa: 0.7139, kb_relative_information_score: 185.4365, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8883, predictive_accuracy: 0.8825, prior_entropy: 0.8464, recall: 0.8825, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6801, scimark_benchmark: 1338.5214, usercpu_time_millis: 1120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8011, kappa: 0.5455, kb_relative_information_score: 141.8164, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8421, predictive_accuracy: 0.7908, prior_entropy: 0.8464, recall: 0.7908, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.982, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 908.2231, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8177, kappa: 0.5521, kb_relative_information_score: 149.8155, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8249, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8641, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 301.4233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4959, scimark_benchmark: 1346.2927, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8177, kappa: 0.5521, kb_relative_information_score: 149.8155, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8249, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8641, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9291, kappa: 0.8233, kb_relative_information_score: 196.5862, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9308, predictive_accuracy: 0.9284, prior_entropy: 0.8464, recall: 0.9284, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5729, scimark_benchmark: 949.7766, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8011, kappa: 0.5455, kb_relative_information_score: 141.8164, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8421, predictive_accuracy: 0.7908, prior_entropy: 0.8464, recall: 0.7908, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.982, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 301.4233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4959, scimark_benchmark: 1317.5857, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.6131, kb_relative_information_score: -0.6214, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4451, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.8134, kappa: 0.5284, kb_relative_information_score: 131.1629, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8131, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.8669, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8728, kappa: 0.6839, kb_relative_information_score: 171.2604, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8759, predictive_accuracy: 0.8711, prior_entropy: 0.8464, recall: 0.8711, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8579, kappa: 0.6373, kb_relative_information_score: 140.4956, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.857, predictive_accuracy: 0.8596, prior_entropy: 0.8464, recall: 0.8596, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.7175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.7961, kappa: 0.5159, kb_relative_information_score: 116.2019, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8176, predictive_accuracy: 0.788, prior_entropy: 0.8464, recall: 0.788, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.6131, kb_relative_information_score: -0.6214, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4451, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.6131, kb_relative_information_score: -0.6214, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4451, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.8032, kappa: 0.5059, kb_relative_information_score: 158.2018, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8043, predictive_accuracy: 0.8023, prior_entropy: 0.8464, recall: 0.8023, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.999, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7707, kappa: 0.4521, kb_relative_information_score: 98.7313, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7897, predictive_accuracy: 0.7622, prior_entropy: 0.8464, recall: 0.7622, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8847,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9291, kappa: 0.8233, kb_relative_information_score: 196.5862, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9308, predictive_accuracy: 0.9284, prior_entropy: 0.8464, recall: 0.9284, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5729, scimark_benchmark: 1850.8887, usercpu_time_millis: 78.0005, usercpu_time_millis_training: 78.0005,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.7892, kappa: 0.4799, kb_relative_information_score: 141.6762, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7955, predictive_accuracy: 0.7851, prior_entropy: 0.8464, recall: 0.7851, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4636, root_relative_squared_error: 1.0415, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8132, kappa: 0.535, kb_relative_information_score: 153.8323, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8164, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7317, kappa: 0.4407, kb_relative_information_score: 73.6221, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8307, predictive_accuracy: 0.7163, prior_entropy: 0.8464, recall: 0.7163, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.1395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8498, kappa: 0.6536, kb_relative_information_score: 191.1551, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8854, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.6676, kappa: 0.1182, kb_relative_information_score: 97.6081, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7094, predictive_accuracy: 0.7393, prior_entropy: 0.8464, recall: 0.7393, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.1472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7994, kappa: 0.4938, kb_relative_information_score: 155.4475, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7994, predictive_accuracy: 0.7994, prior_entropy: 0.8464, recall: 0.7994, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0062,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9291, kappa: 0.8233, kb_relative_information_score: 196.5862, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9308, predictive_accuracy: 0.9284, prior_entropy: 0.8464, recall: 0.9284, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.6421, kappa: 0.063, kb_relative_information_score: 94.8538, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7307, predictive_accuracy: 0.7364, prior_entropy: 0.8464, recall: 0.7364, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.1535, usercpu_time_millis: 3.754, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 3.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8364, kappa: 0.5864, kb_relative_information_score: 191.2529, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8361, predictive_accuracy: 0.8367, prior_entropy: 0.8464, recall: 0.8367, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.908, usercpu_time_millis: 2.251, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.21,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.8147, kappa: 0.5438, kb_relative_information_score: 166.4646, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8213, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.977, usercpu_time_millis: 0.647, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.7462, kappa: 0.3279, kb_relative_information_score: 125.1507, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7489, predictive_accuracy: 0.7679, prior_entropy: 0.8464, recall: 0.7679, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0824, usercpu_time_millis: 0.7, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.7729, kappa: 0.4418, kb_relative_information_score: 125.1507, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7807, predictive_accuracy: 0.7679, prior_entropy: 0.8464, recall: 0.7679, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0824, usercpu_time_millis: 1.212, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 1.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9468, kappa: 0.8626, kb_relative_information_score: 298.6691, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9507, predictive_accuracy: 0.9484, prior_entropy: 0.8464, recall: 0.9484, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5102, usercpu_time_millis: 0.386, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.9425, kappa: 0.8544, kb_relative_information_score: 293.1605, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9424, predictive_accuracy: 0.9427, prior_entropy: 0.8464, recall: 0.9427, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.5378, usercpu_time_millis: 5.64, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 5.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9317, kappa: 0.8287, kb_relative_information_score: 282.1435, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9324, predictive_accuracy: 0.9312, prior_entropy: 0.8464, recall: 0.9312, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5892, usercpu_time_millis: 19.502, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 17.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7822, kappa: 0.4504, kb_relative_information_score: 138.922, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7822, predictive_accuracy: 0.7822, prior_entropy: 0.8464, recall: 0.7822, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.0484, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8436, kappa: 0.6087, kb_relative_information_score: 196.7614, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8453, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8919, usercpu_time_millis: 0.816, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.8014, kappa: 0.5138, kb_relative_information_score: 152.6933, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8101, predictive_accuracy: 0.7966, prior_entropy: 0.8464, recall: 0.7966, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.451, root_relative_squared_error: 1.0134, usercpu_time_millis: 5.306, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 4.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.8147, kappa: 0.5438, kb_relative_information_score: 166.4646, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8213, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.977, usercpu_time_millis: 0.803, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.7702, kappa: 0.3928, kb_relative_information_score: 144.4305, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7743, predictive_accuracy: 0.788, prior_entropy: 0.8464, recall: 0.788, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4605, root_relative_squared_error: 1.0345, usercpu_time_millis: 3.047, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 2.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9365, kappa: 0.8388, kb_relative_information_score: 287.652, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9364, predictive_accuracy: 0.937, prior_entropy: 0.8464, recall: 0.937, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5641, usercpu_time_millis: 1.842, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.8154, kappa: 0.531, kb_relative_information_score: 171.9731, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8144, predictive_accuracy: 0.8166, prior_entropy: 0.8464, recall: 0.8166, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9621, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8495, kappa: 0.6336, kb_relative_information_score: 199.5157, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8595, predictive_accuracy: 0.8453, prior_entropy: 0.8464, recall: 0.8453, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8837, usercpu_time_millis: 3, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 1.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.7666, kappa: 0.4018, kb_relative_information_score: 127.9049, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7639, predictive_accuracy: 0.7708, prior_entropy: 0.8464, recall: 0.7708, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0757, usercpu_time_millis: 0.098, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7755, kappa: 0.4198, kb_relative_information_score: 138.922, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7726, predictive_accuracy: 0.7822, prior_entropy: 0.8464, recall: 0.7822, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.0484, usercpu_time_millis: 0.397, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.8166, kappa: 0.5372, kb_relative_information_score: 171.9731, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8166, predictive_accuracy: 0.8166, prior_entropy: 0.8464, recall: 0.8166, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9621, usercpu_time_millis: 2.17, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 2.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7259, kappa: 0.4381, kb_relative_information_score: 70.0655, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8372, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.538, root_relative_squared_error: 1.2086, usercpu_time_millis: 1.199, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5362, f_measure: 0.6582, kappa: 0.1001, kb_relative_information_score: 100.3623, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7384, predictive_accuracy: 0.7421, prior_entropy: 0.8464, recall: 0.7421, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.1409, usercpu_time_millis: 17.621, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 17.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.6827, kappa: 0.1735, kb_relative_information_score: 56.2942, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.6746, predictive_accuracy: 0.6963, prior_entropy: 0.8464, recall: 0.6963, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.2382, usercpu_time_millis: 1.713, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.8147, kappa: 0.5438, kb_relative_information_score: 166.4646, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8213, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.977, usercpu_time_millis: 0.899, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.8147, kappa: 0.5438, kb_relative_information_score: 166.4646, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8213, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.977, usercpu_time_millis: 0.857, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6131, kb_relative_information_score: 86.591, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.1722, usercpu_time_millis: 19.507, usercpu_time_millis_testing: 1.807, usercpu_time_millis_training: 17.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.6231, kappa: 0.0149, kb_relative_information_score: 3.9632, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.6099, predictive_accuracy: 0.6418, prior_entropy: 0.8464, recall: 0.6418, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5985, root_relative_squared_error: 1.3446, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8554, kappa: 0.6494, kb_relative_information_score: 205.0242, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8669, predictive_accuracy: 0.851, prior_entropy: 0.8464, recall: 0.851, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8672, usercpu_time_millis: 2.656, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 1.834,

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