Task
Supervised Classification on prnn_crabs

Supervised Classification on prnn_crabs

Task 4244 Supervised Classification prnn_crabs 197 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7042, kappa: 0.421, kb_relative_information_score: 486.1605, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.73, predictive_accuracy: 0.7105, prior_entropy: 1, recall: 0.7105, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9092, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.932, kappa: 0.864, kb_relative_information_score: 1290.1029, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9321, predictive_accuracy: 0.932, prior_entropy: 1, recall: 0.932, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5474, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.91, kappa: 0.82, kb_relative_information_score: 1417.6616, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.91, prior_entropy: 1, recall: 0.91, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.283, root_relative_squared_error: 0.5659, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6591, kappa: 0.328, kb_relative_information_score: 519.804, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.674, predictive_accuracy: 0.664, prior_entropy: 1, recall: 0.664, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9371, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6591, kappa: 0.328, kb_relative_information_score: 519.804, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.674, predictive_accuracy: 0.664, prior_entropy: 1, recall: 0.664, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9371, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.903, kappa: 0.806, kb_relative_information_score: 1333.5874, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.903, predictive_accuracy: 0.903, prior_entropy: 1, recall: 0.903, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.5508, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.967, kappa: 0.934, kb_relative_information_score: 1868, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9679, predictive_accuracy: 0.967, prior_entropy: 1, recall: 0.967, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.986, kappa: 0.972, kb_relative_information_score: 1545.9097, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 1, recall: 0.986, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3563, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 1043.2365, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7583, scimark_benchmark: 927.2917, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9725, kappa: 0.945, kb_relative_information_score: 1890, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9726, predictive_accuracy: 0.9725, prior_entropy: 1, recall: 0.9725, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3317, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.647, kappa: 0.299, kb_relative_information_score: 570.9096, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.6538, predictive_accuracy: 0.6495, prior_entropy: 1, recall: 0.6495, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9846, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.947, kappa: 0.894, kb_relative_information_score: 1437.4434, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9471, predictive_accuracy: 0.947, prior_entropy: 1, recall: 0.947, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4793, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7042, kappa: 0.421, kb_relative_information_score: 486.1605, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.73, predictive_accuracy: 0.7105, prior_entropy: 1, recall: 0.7105, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9092, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.932, kappa: 0.864, kb_relative_information_score: 1290.1029, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9321, predictive_accuracy: 0.932, prior_entropy: 1, recall: 0.932, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5474, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.91, kappa: 0.82, kb_relative_information_score: 1417.6616, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.91, prior_entropy: 1, recall: 0.91, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.283, root_relative_squared_error: 0.5659, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9725, kappa: 0.945, kb_relative_information_score: 1890, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9726, predictive_accuracy: 0.9725, prior_entropy: 1, recall: 0.9725, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3317, scimark_benchmark: 927.2882, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9725, kappa: 0.945, kb_relative_information_score: 1890, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9726, predictive_accuracy: 0.9725, prior_entropy: 1, recall: 0.9725, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3317, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6591, kappa: 0.328, kb_relative_information_score: 519.804, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.674, predictive_accuracy: 0.664, prior_entropy: 1, recall: 0.664, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9371, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6591, kappa: 0.328, kb_relative_information_score: 519.804, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.674, predictive_accuracy: 0.664, prior_entropy: 1, recall: 0.664, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9371, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.903, kappa: 0.806, kb_relative_information_score: 1333.5874, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.903, predictive_accuracy: 0.903, prior_entropy: 1, recall: 0.903, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.5508, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6591, kappa: 0.328, kb_relative_information_score: 519.804, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.674, predictive_accuracy: 0.664, prior_entropy: 1, recall: 0.664, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9371, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.947, kappa: 0.894, kb_relative_information_score: 1437.4434, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9471, predictive_accuracy: 0.947, prior_entropy: 1, recall: 0.947, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4793, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1894.893, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.1333, scimark_benchmark: 870.2101, usercpu_time_millis: 1380, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1896.0132, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.1365, scimark_benchmark: 933.4823, usercpu_time_millis: 290, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1897.3257, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0683, root_relative_squared_error: 0.1366, scimark_benchmark: 939.7241, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 1895.7214, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 1, recall: 0.999, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.1488, scimark_benchmark: 945.0448, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1895.0934, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 1, recall: 0.9985, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.1574, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7428, kappa: 0.486, kb_relative_information_score: 702.7149, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.7438, predictive_accuracy: 0.743, prior_entropy: 1, recall: 0.743, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8333, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7428, kappa: 0.486, kb_relative_information_score: 702.7149, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.7438, predictive_accuracy: 0.743, prior_entropy: 1, recall: 0.743, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8333, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7428, kappa: 0.486, kb_relative_information_score: 702.7149, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.7438, predictive_accuracy: 0.743, prior_entropy: 1, recall: 0.743, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8333, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7443, kappa: 0.489, kb_relative_information_score: 702.3012, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.7453, predictive_accuracy: 0.7445, prior_entropy: 1, recall: 0.7445, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8337, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7387, kappa: 0.478, kb_relative_information_score: 631.0159, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.7399, predictive_accuracy: 0.739, prior_entropy: 1, recall: 0.739, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.424, root_relative_squared_error: 0.848, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.897, kappa: 0.794, kb_relative_information_score: 1557.0443, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.8971, predictive_accuracy: 0.897, prior_entropy: 1, recall: 0.897, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.299, root_relative_squared_error: 0.598, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8514, kappa: 0.703, kb_relative_information_score: 1390.5169, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.8521, predictive_accuracy: 0.8515, prior_entropy: 1, recall: 0.8515, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6927, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.817, kappa: 0.634, kb_relative_information_score: 1235.6014, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.8172, predictive_accuracy: 0.817, prior_entropy: 1, recall: 0.817, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7647, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7945, kappa: 0.589, kb_relative_information_score: 1090.6155, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.7947, predictive_accuracy: 0.7945, prior_entropy: 1, recall: 0.7945, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8228, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7644, kappa: 0.529, kb_relative_information_score: 956.4091, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.765, predictive_accuracy: 0.7645, prior_entropy: 1, recall: 0.7645, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.928, kappa: 0.856, kb_relative_information_score: 1662.8513, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.928, predictive_accuracy: 0.928, prior_entropy: 1, recall: 0.928, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5321, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.6871, kappa: 0.376, kb_relative_information_score: 371.0638, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.6902, predictive_accuracy: 0.688, prior_entropy: 1, recall: 0.688, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.454, root_relative_squared_error: 0.908, scimark_benchmark: 943.4741,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.947, kappa: 0.894, kb_relative_information_score: 1437.4434, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9471, predictive_accuracy: 0.947, prior_entropy: 1, recall: 0.947, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4793, scimark_benchmark: 1354.5533, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7573, kappa: 0.516, kb_relative_information_score: 618.7067, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.761, predictive_accuracy: 0.758, prior_entropy: 1, recall: 0.758, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8553, scimark_benchmark: 1317.7919, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.928, kappa: 0.856, kb_relative_information_score: 1662.8513, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.928, predictive_accuracy: 0.928, prior_entropy: 1, recall: 0.928, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5321, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9095, kappa: 0.819, kb_relative_information_score: 1416.2049, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9097, predictive_accuracy: 0.9095, prior_entropy: 1, recall: 0.9095, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5671, scimark_benchmark: 1324.6608, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9895, kappa: 0.979, kb_relative_information_score: 1688.841, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9896, predictive_accuracy: 0.9895, prior_entropy: 1, recall: 0.9895, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.2914, scimark_benchmark: 1342.9012, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6591, kappa: 0.328, kb_relative_information_score: 519.804, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.674, predictive_accuracy: 0.664, prior_entropy: 1, recall: 0.664, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9371, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.947, kappa: 0.894, kb_relative_information_score: 1437.4434, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9471, predictive_accuracy: 0.947, prior_entropy: 1, recall: 0.947, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4793, scimark_benchmark: 1344.3409, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.932, kappa: 0.864, kb_relative_information_score: 1290.1029, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9321, predictive_accuracy: 0.932, prior_entropy: 1, recall: 0.932, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5474, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9725, kappa: 0.945, kb_relative_information_score: 1890, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9726, predictive_accuracy: 0.9725, prior_entropy: 1, recall: 0.9725, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3317, scimark_benchmark: 1317.5857, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6591, kappa: 0.328, kb_relative_information_score: 519.804, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.674, predictive_accuracy: 0.664, prior_entropy: 1, recall: 0.664, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9371, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 1043.2365, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7583, scimark_benchmark: 1404.0159, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9725, kappa: 0.945, kb_relative_information_score: 1890, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9726, predictive_accuracy: 0.9725, prior_entropy: 1, recall: 0.9725, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3317, scimark_benchmark: 1353.6265, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6591, kappa: 0.328, kb_relative_information_score: 519.804, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.674, predictive_accuracy: 0.664, prior_entropy: 1, recall: 0.664, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9371, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 1043.2365, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7583, scimark_benchmark: 1354.3488, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.647, kappa: 0.299, kb_relative_information_score: 570.9096, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.6538, predictive_accuracy: 0.6495, prior_entropy: 1, recall: 0.6495, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9846, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 1043.2365, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7583, scimark_benchmark: 1344.4042, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.947, kappa: 0.894, kb_relative_information_score: 1437.4434, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.5, number_of_instances: 2000, precision: 0.9471, predictive_accuracy: 0.947, prior_entropy: 1, recall: 0.947, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4793, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs