Task
Supervised Classification on autoHorse

Supervised Classification on autoHorse

Task 3705 Supervised Classification autoHorse 499 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9509, kappa: 0.8976, kb_relative_information_score: 151.4719, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9523, predictive_accuracy: 0.9512, prior_entropy: 0.9742, recall: 0.9512, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4393, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9707, kappa: 0.939, kb_relative_information_score: 178.0592, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9708, predictive_accuracy: 0.9707, prior_entropy: 0.9742, recall: 0.9707, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3226, scimark_benchmark: 1306.9281, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9508, kappa: 0.8972, kb_relative_information_score: 183.6122, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9534, predictive_accuracy: 0.9512, prior_entropy: 0.9742, recall: 0.9512, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4096, scimark_benchmark: 1324.6442, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9707, kappa: 0.9393, kb_relative_information_score: 175.0022, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 0.9742, recall: 0.9707, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3581, scimark_benchmark: 1307.9497, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9805, kappa: 0.9595, kb_relative_information_score: 189.1751, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9805, predictive_accuracy: 0.9805, prior_entropy: 0.9742, recall: 0.9805, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.282, scimark_benchmark: 1342.8584, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9028, kappa: 0.7991, kb_relative_information_score: 166.1631, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9038, predictive_accuracy: 0.9024, prior_entropy: 0.9742, recall: 0.9024, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.275, root_relative_squared_error: 0.5602, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9805, kappa: 0.9595, kb_relative_information_score: 189.1751, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9805, predictive_accuracy: 0.9805, prior_entropy: 0.9742, recall: 0.9805, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.282, scimark_benchmark: 1267.7714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9755, kappa: 0.9491, kb_relative_information_score: 185.0605, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9759, predictive_accuracy: 0.9756, prior_entropy: 0.9742, recall: 0.9756, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.2703, scimark_benchmark: 1331.8682, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 30.0623, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 1332.1612, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 30.0623, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 1367.3264, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1328.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9509, kappa: 0.8976, kb_relative_information_score: 151.4719, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9523, predictive_accuracy: 0.9512, prior_entropy: 0.9742, recall: 0.9512, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4393, scimark_benchmark: 1299.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9853, kappa: 0.9695, kb_relative_information_score: 176.7392, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9857, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.2972, scimark_benchmark: 1344.3409, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 30.0623, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 1397.3209, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9508, kappa: 0.8972, kb_relative_information_score: 183.6122, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9534, predictive_accuracy: 0.9512, prior_entropy: 0.9742, recall: 0.9512, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4096, scimark_benchmark: 1365.0842, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9853, kappa: 0.9695, kb_relative_information_score: 176.7392, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9857, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.2972, scimark_benchmark: 1397.3209, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 30.0623, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 1274.7011, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9707, kappa: 0.939, kb_relative_information_score: 178.0592, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9708, predictive_accuracy: 0.9707, prior_entropy: 0.9742, recall: 0.9707, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3226, scimark_benchmark: 1322.7257, usercpu_time_millis: 370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9028, kappa: 0.7991, kb_relative_information_score: 166.1631, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9038, predictive_accuracy: 0.9024, prior_entropy: 0.9742, recall: 0.9024, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.275, root_relative_squared_error: 0.5602, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9853, kappa: 0.9695, kb_relative_information_score: 176.7392, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9857, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.2972, scimark_benchmark: 1326.8946, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9707, kappa: 0.9393, kb_relative_information_score: 175.0022, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 0.9742, recall: 0.9707, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3581, scimark_benchmark: 1348.2476, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9707, kappa: 0.939, kb_relative_information_score: 178.0592, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9708, predictive_accuracy: 0.9707, prior_entropy: 0.9742, recall: 0.9707, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3226, scimark_benchmark: 1347.5461, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 195.0444, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2432, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9607, kappa: 0.9181, kb_relative_information_score: 157.1724, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9622, predictive_accuracy: 0.961, prior_entropy: 0.9742, recall: 0.961, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4056, scimark_benchmark: 1308.3432, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 197.0153, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.113, root_relative_squared_error: 0.2303, scimark_benchmark: 1349.1028, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9854, kappa: 0.9696, kb_relative_information_score: 192.8905, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.2257, scimark_benchmark: 1311.1837, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.946, kappa: 0.8876, kb_relative_information_score: 152.1492, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9469, predictive_accuracy: 0.9463, prior_entropy: 0.9742, recall: 0.9463, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4276, scimark_benchmark: 1307.3764, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 30.0623, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 1335.5424, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9318, kappa: 0.8588, kb_relative_information_score: 174.0605, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9321, predictive_accuracy: 0.9317, prior_entropy: 0.9742, recall: 0.9317, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.521, scimark_benchmark: 1340.9946, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9509, kappa: 0.8976, kb_relative_information_score: 173.6758, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9523, predictive_accuracy: 0.9512, prior_entropy: 0.9742, recall: 0.9512, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4154, scimark_benchmark: 1339.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.8835, kappa: 0.7598, kb_relative_information_score: 152.7876, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.8856, predictive_accuracy: 0.8829, prior_entropy: 0.9742, recall: 0.8829, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.689, scimark_benchmark: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9415, kappa: 0.8785, kb_relative_information_score: 137.8212, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9415, predictive_accuracy: 0.9415, prior_entropy: 0.9742, recall: 0.9415, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.4878, scimark_benchmark: 1313.9606, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9365, kappa: 0.8682, kb_relative_information_score: 178.3694, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9365, predictive_accuracy: 0.9366, prior_entropy: 0.9742, recall: 0.9366, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.479, scimark_benchmark: 1334.8495, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7006, kappa: 0.3833, kb_relative_information_score: 86.9351, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.7531, predictive_accuracy: 0.7268, prior_entropy: 0.9742, recall: 0.7268, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5227, root_relative_squared_error: 1.0648, scimark_benchmark: 1344.7246, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.9116, kappa: 0.8157, kb_relative_information_score: 165.6326, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9127, predictive_accuracy: 0.9122, prior_entropy: 0.9742, recall: 0.9122, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.6005, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9306, kappa: 0.8549, kb_relative_information_score: 148.7887, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9366, predictive_accuracy: 0.9317, prior_entropy: 0.9742, recall: 0.9317, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.486, scimark_benchmark: 1329.4984, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9413, kappa: 0.8781, kb_relative_information_score: 175.2022, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9414, predictive_accuracy: 0.9415, prior_entropy: 0.9742, recall: 0.9415, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4294, scimark_benchmark: 1332.2926, usercpu_time_millis: 1040, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9707, kappa: 0.9393, kb_relative_information_score: 175.0022, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 0.9742, recall: 0.9707, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3581, scimark_benchmark: 1344.3348, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9559, kappa: 0.908, kb_relative_information_score: 180.3725, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9568, predictive_accuracy: 0.9561, prior_entropy: 0.9742, recall: 0.9561, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4229, scimark_benchmark: 915.6729, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9755, kappa: 0.9489, kb_relative_information_score: 188.9091, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9766, predictive_accuracy: 0.9756, prior_entropy: 0.9742, recall: 0.9756, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2384, scimark_benchmark: 1307.7326, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9805, kappa: 0.9595, kb_relative_information_score: 189.1751, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9805, predictive_accuracy: 0.9805, prior_entropy: 0.9742, recall: 0.9805, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.282, scimark_benchmark: 1342.2905, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9557, kappa: 0.9077, kb_relative_information_score: 157.8088, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9578, predictive_accuracy: 0.9561, prior_entropy: 0.9742, recall: 0.9561, relative_absolute_error: 0.2645, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.3989, scimark_benchmark: 1341.7207, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9557, kappa: 0.9077, kb_relative_information_score: 159.1095, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9578, predictive_accuracy: 0.9561, prior_entropy: 0.9742, recall: 0.9561, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3957, scimark_benchmark: 1338.01, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9854, kappa: 0.9697, kb_relative_information_score: 198.6127, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9742, recall: 0.9854, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.2106, scimark_benchmark: 1316.781, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9804, kappa: 0.9594, kb_relative_information_score: 181.0944, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 0.9742, recall: 0.9805, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3042, scimark_benchmark: 1331.1784, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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