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Supervised Classification on fri_c2_1000_10

Supervised Classification on fri_c2_1000_10

Task 4481 Supervised Classification fri_c2_1000_10 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 6362.7113, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8523, predictive_accuracy: 0.8524, prior_entropy: 0.9815, recall: 0.8524, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6458, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.903, kappa: 0.8004, kb_relative_information_score: 7124.5624, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.9034, predictive_accuracy: 0.9034, prior_entropy: 0.9815, recall: 0.9034, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5395, scimark_benchmark: 1336.4564, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 6362.7113, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8523, predictive_accuracy: 0.8524, prior_entropy: 0.9815, recall: 0.8524, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6458, scimark_benchmark: 1345.0202, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8601, kappa: 0.7127, kb_relative_information_score: 5268.46, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.86, predictive_accuracy: 0.8602, prior_entropy: 0.9815, recall: 0.8602, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6541, scimark_benchmark: 1339.2472, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8229, kappa: 0.6381, kb_relative_information_score: 6310.8975, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8244, predictive_accuracy: 0.8223, prior_entropy: 0.9815, recall: 0.8223, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8541, scimark_benchmark: 1274.7011, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8958, kappa: 0.7858, kb_relative_information_score: 7036.4137, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8958, predictive_accuracy: 0.896, prior_entropy: 0.9815, recall: 0.896, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5979, scimark_benchmark: 1357.3026, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8229, kappa: 0.6381, kb_relative_information_score: 6310.8975, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8244, predictive_accuracy: 0.8223, prior_entropy: 0.9815, recall: 0.8223, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8541, scimark_benchmark: 1324.7353, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8229, kappa: 0.6381, kb_relative_information_score: 6310.8975, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8244, predictive_accuracy: 0.8223, prior_entropy: 0.9815, recall: 0.8223, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8541, scimark_benchmark: 1260.1387, usercpu_time_millis: 250, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8331, kappa: 0.6563, kb_relative_information_score: 6132.6647, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8333, predictive_accuracy: 0.8338, prior_entropy: 0.9815, recall: 0.8338, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6951, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 6362.7113, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8523, predictive_accuracy: 0.8524, prior_entropy: 0.9815, recall: 0.8524, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6458, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 6362.7113, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8523, predictive_accuracy: 0.8524, prior_entropy: 0.9815, recall: 0.8524, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6458, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8958, kappa: 0.7858, kb_relative_information_score: 7036.4137, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8958, predictive_accuracy: 0.896, prior_entropy: 0.9815, recall: 0.896, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5979, scimark_benchmark: 1344.4042, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 6362.7113, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8523, predictive_accuracy: 0.8524, prior_entropy: 0.9815, recall: 0.8524, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6458, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8331, kappa: 0.6563, kb_relative_information_score: 6132.6647, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8333, predictive_accuracy: 0.8338, prior_entropy: 0.9815, recall: 0.8338, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6951, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 6362.7113, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8523, predictive_accuracy: 0.8524, prior_entropy: 0.9815, recall: 0.8524, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6458, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 6362.7113, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8523, predictive_accuracy: 0.8524, prior_entropy: 0.9815, recall: 0.8524, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6458, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 6362.7113, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8523, predictive_accuracy: 0.8524, prior_entropy: 0.9815, recall: 0.8524, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6458, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8958, kappa: 0.7858, kb_relative_information_score: 7036.4137, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8958, predictive_accuracy: 0.896, prior_entropy: 0.9815, recall: 0.896, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5979, scimark_benchmark: 1260.1387, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8601, kappa: 0.7127, kb_relative_information_score: 5268.46, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.86, predictive_accuracy: 0.8602, prior_entropy: 0.9815, recall: 0.8602, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6541, scimark_benchmark: 1295.0797, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8331, kappa: 0.6563, kb_relative_information_score: 6132.6647, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8333, predictive_accuracy: 0.8338, prior_entropy: 0.9815, recall: 0.8338, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6951, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 6362.7113, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8523, predictive_accuracy: 0.8524, prior_entropy: 0.9815, recall: 0.8524, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6458, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 6362.7113, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8523, predictive_accuracy: 0.8524, prior_entropy: 0.9815, recall: 0.8524, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6458, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 6362.7113, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8523, predictive_accuracy: 0.8524, prior_entropy: 0.9815, recall: 0.8524, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6458, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8958, kappa: 0.7858, kb_relative_information_score: 7036.4137, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8958, predictive_accuracy: 0.896, prior_entropy: 0.9815, recall: 0.896, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5979, scimark_benchmark: 1315.933, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8331, kappa: 0.6563, kb_relative_information_score: 6132.6647, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8333, predictive_accuracy: 0.8338, prior_entropy: 0.9815, recall: 0.8338, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6951, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9199, kappa: 0.8353, kb_relative_information_score: 6999.2437, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.92, predictive_accuracy: 0.9201, prior_entropy: 0.9815, recall: 0.9201, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5067, scimark_benchmark: 1345.7204, usercpu_time_millis: 310, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8641, kappa: 0.7218, kb_relative_information_score: 6539.0834, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8647, predictive_accuracy: 0.8638, prior_entropy: 0.9815, recall: 0.8638, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6362, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8601, kappa: 0.7127, kb_relative_information_score: 5268.46, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.86, predictive_accuracy: 0.8602, prior_entropy: 0.9815, recall: 0.8602, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6541, scimark_benchmark: 1327.5791, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8601, kappa: 0.7127, kb_relative_information_score: 5268.46, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.86, predictive_accuracy: 0.8602, prior_entropy: 0.9815, recall: 0.8602, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6541, scimark_benchmark: 1339.9935, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9186, kappa: 0.8324, kb_relative_information_score: 7592.8778, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.9188, predictive_accuracy: 0.9188, prior_entropy: 0.9815, recall: 0.9188, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5167, scimark_benchmark: 1342.6911, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.797, kappa: 0.5823, kb_relative_information_score: 3378.9982, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.7968, predictive_accuracy: 0.7976, prior_entropy: 0.9815, recall: 0.7976, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9031, scimark_benchmark: 894.7222, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.908, kappa: 0.8107, kb_relative_information_score: 7147.6472, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.9085, predictive_accuracy: 0.9084, prior_entropy: 0.9815, recall: 0.9084, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5214, scimark_benchmark: 892.0148, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7737, kappa: 0.5367, kb_relative_information_score: 5134.5185, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.7745, predictive_accuracy: 0.7733, prior_entropy: 0.9815, recall: 0.7733, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8816, scimark_benchmark: 916.5769, usercpu_time_millis: 15730, usercpu_time_millis_testing: 15730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.902, kappa: 0.798, kb_relative_information_score: 7796.7366, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.9029, predictive_accuracy: 0.9025, prior_entropy: 0.9815, recall: 0.9025, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5845, scimark_benchmark: 1350.4702, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8958, kappa: 0.7858, kb_relative_information_score: 7036.4137, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8958, predictive_accuracy: 0.896, prior_entropy: 0.9815, recall: 0.896, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5979, scimark_benchmark: 1314.9535, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8656, kappa: 0.7228, kb_relative_information_score: 4455.7668, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.868, predictive_accuracy: 0.8669, prior_entropy: 0.9815, recall: 0.8669, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6887, scimark_benchmark: 1348.7888, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8955, kappa: 0.7853, kb_relative_information_score: 7459.3528, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8955, predictive_accuracy: 0.8957, prior_entropy: 0.9815, recall: 0.8957, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6276, scimark_benchmark: 1347.388, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8689, kappa: 0.7294, kb_relative_information_score: 4470.5448, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8724, predictive_accuracy: 0.8704, prior_entropy: 0.9815, recall: 0.8704, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6803, scimark_benchmark: 1322.4968, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9085, kappa: 0.8116, kb_relative_information_score: 7147.4542, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.9089, predictive_accuracy: 0.9088, prior_entropy: 0.9815, recall: 0.9088, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5209, scimark_benchmark: 918.0213, usercpu_time_millis: 880, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, f_measure: 0.2909, kappa: 0.0012, kb_relative_information_score: -407.9502, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.5178, predictive_accuracy: 0.4273, prior_entropy: 0.9815, recall: 0.4273, relative_absolute_error: 1.0262, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0241, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8848, kappa: 0.7627, kb_relative_information_score: 6518.8216, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8858, predictive_accuracy: 0.8855, prior_entropy: 0.9815, recall: 0.8855, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6102, scimark_benchmark: 934.1747, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8741, kappa: 0.7411, kb_relative_information_score: 6169.2688, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.874, predictive_accuracy: 0.8743, prior_entropy: 0.9815, recall: 0.8743, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.605, scimark_benchmark: 1369.9744, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9081, kappa: 0.8108, kb_relative_information_score: 7143.762, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.9087, predictive_accuracy: 0.9085, prior_entropy: 0.9815, recall: 0.9085, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5241, scimark_benchmark: 887.6719, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9072, kappa: 0.809, kb_relative_information_score: 7130.0755, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.9077, predictive_accuracy: 0.9076, prior_entropy: 0.9815, recall: 0.9076, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5296, scimark_benchmark: 912.7324, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9, kappa: 0.795, kb_relative_information_score: 7359.1424, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.9002, predictive_accuracy: 0.8999, prior_entropy: 0.9815, recall: 0.8999, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5959, scimark_benchmark: 939.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9106, kappa: 0.8162, kb_relative_information_score: 7652.3323, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.9106, predictive_accuracy: 0.9107, prior_entropy: 0.9815, recall: 0.9107, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5095, scimark_benchmark: 915.6729, usercpu_time_millis: 840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9046, kappa: 0.8041, kb_relative_information_score: 7315.3111, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.9046, predictive_accuracy: 0.9047, prior_entropy: 0.9815, recall: 0.9047, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5281, scimark_benchmark: 930.5999, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8767, kappa: 0.7464, kb_relative_information_score: 6605.3124, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8766, predictive_accuracy: 0.8769, prior_entropy: 0.9815, recall: 0.8769, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.5872, scimark_benchmark: 1372.2145, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8488, kappa: 0.6891, kb_relative_information_score: 5735.1884, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8487, predictive_accuracy: 0.8491, prior_entropy: 0.9815, recall: 0.8491, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6496, scimark_benchmark: 929.0363, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8211, kappa: 0.6327, kb_relative_information_score: 4889.0769, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8211, predictive_accuracy: 0.8212, prior_entropy: 0.9815, recall: 0.8212, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7056, scimark_benchmark: 915.9324, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7856, kappa: 0.5613, kb_relative_information_score: 4318.7089, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.7866, predictive_accuracy: 0.7851, prior_entropy: 0.9815, recall: 0.7851, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7859, scimark_benchmark: 916.6405, usercpu_time_millis: 190, usercpu_time_millis_testing: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7826, kappa: 0.5557, kb_relative_information_score: 4548.9308, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.7841, predictive_accuracy: 0.7819, prior_entropy: 0.9815, recall: 0.7819, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8201, scimark_benchmark: 1384.4418, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.6263, kappa: 0.2585, kb_relative_information_score: 2205.3548, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.6462, predictive_accuracy: 0.6245, prior_entropy: 0.9815, recall: 0.6245, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6128, root_relative_squared_error: 1.2416, scimark_benchmark: 940.3347, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4628, kappa: -0.0113, kb_relative_information_score: 916.4053, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.4983, predictive_accuracy: 0.5624, prior_entropy: 0.9815, recall: 0.5624, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.3403, scimark_benchmark: 1287.514, usercpu_time_millis: 1310, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7649, kappa: 0.5167, kb_relative_information_score: 5127.8038, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.7646, predictive_accuracy: 0.7653, prior_entropy: 0.9815, recall: 0.7653, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9816, scimark_benchmark: 825.5282, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7618, kappa: 0.5083, kb_relative_information_score: 1988.4176, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.7634, predictive_accuracy: 0.7645, prior_entropy: 0.9815, recall: 0.7645, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9081, scimark_benchmark: 944.5495, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7163, kappa: 0.4158, kb_relative_information_score: 4135.6655, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.7158, predictive_accuracy: 0.7175, prior_entropy: 0.9815, recall: 0.7175, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5315, root_relative_squared_error: 1.0769, scimark_benchmark: 1331.6907, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7415, kappa: 0.4693, kb_relative_information_score: 3189.0424, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.7414, predictive_accuracy: 0.7415, prior_entropy: 0.9815, recall: 0.7415, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8326, scimark_benchmark: 933.1165, usercpu_time_millis: 31570, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 31350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8331, kappa: 0.6563, kb_relative_information_score: 6132.6647, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8333, predictive_accuracy: 0.8338, prior_entropy: 0.9815, recall: 0.8338, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6951, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8524, kappa: 0.6969, kb_relative_information_score: 6362.7113, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8523, predictive_accuracy: 0.8524, prior_entropy: 0.9815, recall: 0.8524, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6458, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9199, kappa: 0.8353, kb_relative_information_score: 6999.2437, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.92, predictive_accuracy: 0.9201, prior_entropy: 0.9815, recall: 0.9201, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5067, scimark_benchmark: 1341.5768, usercpu_time_millis: 320, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8602, kappa: 0.7132, kb_relative_information_score: 7097.551, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8603, predictive_accuracy: 0.8602, prior_entropy: 0.9815, recall: 0.8602, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7576, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8852, kappa: 0.7638, kb_relative_information_score: 6982.473, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.8854, predictive_accuracy: 0.8856, prior_entropy: 0.9815, recall: 0.8856, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6249, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9018, kappa: 0.7978, kb_relative_information_score: 7327.3363, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.9021, predictive_accuracy: 0.9021, prior_entropy: 0.9815, recall: 0.9021, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6009, scimark_benchmark: 1301.9956, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7743, kappa: 0.5342, kb_relative_information_score: 5366.4981, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4872, number_of_instances: 10000, precision: 0.776, predictive_accuracy: 0.7768, prior_entropy: 0.9815, recall: 0.7768, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9572, scimark_benchmark: 1336.2976, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,

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