Task
Supervised Classification on schizo

Supervised Classification on schizo

Task 4262 Supervised Classification schizo 212 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7098, kappa: 0.4189, kb_relative_information_score: 1124.2575, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7122, predictive_accuracy: 0.7112, prior_entropy: 0.9988, recall: 0.7112, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8512, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.7958, kappa: 0.5917, kb_relative_information_score: 1285.2302, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.802, predictive_accuracy: 0.7974, prior_entropy: 0.9988, recall: 0.7974, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7565, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8109, kappa: 0.6226, kb_relative_information_score: 1585.306, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.8212, predictive_accuracy: 0.8129, prior_entropy: 0.9988, recall: 0.8129, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7254, scimark_benchmark: 934.3687, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8498, kappa: 0.6993, kb_relative_information_score: 1526.4433, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.8541, predictive_accuracy: 0.8506, prior_entropy: 0.9988, recall: 0.8506, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7051, scimark_benchmark: 938.191, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6211, f_measure: 0.6032, kappa: 0.2072, kb_relative_information_score: 357.5021, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.6068, predictive_accuracy: 0.6068, prior_entropy: 0.9988, recall: 0.6068, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9874, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.852, kappa: 0.7033, kb_relative_information_score: 2391.5152, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.8521, predictive_accuracy: 0.8521, prior_entropy: 0.9988, recall: 0.8521, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7699, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7802, kappa: 0.5607, kb_relative_information_score: 1038.8318, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.787, predictive_accuracy: 0.7821, prior_entropy: 0.9988, recall: 0.7821, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8025, scimark_benchmark: 943.1009, usercpu_time_millis: 400, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7098, kappa: 0.4189, kb_relative_information_score: 1124.2575, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7122, predictive_accuracy: 0.7112, prior_entropy: 0.9988, recall: 0.7112, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8512, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.7958, kappa: 0.5917, kb_relative_information_score: 1285.2302, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.802, predictive_accuracy: 0.7974, prior_entropy: 0.9988, recall: 0.7974, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7565, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8109, kappa: 0.6226, kb_relative_information_score: 1585.306, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.8212, predictive_accuracy: 0.8129, prior_entropy: 0.9988, recall: 0.8129, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7254, scimark_benchmark: 938.1282, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.852, kappa: 0.7033, kb_relative_information_score: 2391.5152, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.8521, predictive_accuracy: 0.8521, prior_entropy: 0.9988, recall: 0.8521, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7699, scimark_benchmark: 927.2882, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.852, kappa: 0.7033, kb_relative_information_score: 2391.5152, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.8521, predictive_accuracy: 0.8521, prior_entropy: 0.9988, recall: 0.8521, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7699, scimark_benchmark: 906.0979, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.6991, kappa: 0.3982, kb_relative_information_score: 1046.7641, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.703, predictive_accuracy: 0.7012, prior_entropy: 0.9988, recall: 0.7012, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8621, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8498, kappa: 0.6993, kb_relative_information_score: 1526.4433, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.8541, predictive_accuracy: 0.8506, prior_entropy: 0.9988, recall: 0.8506, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7051, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7802, kappa: 0.5607, kb_relative_information_score: 1038.8318, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.787, predictive_accuracy: 0.7821, prior_entropy: 0.9988, recall: 0.7821, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8025, scimark_benchmark: 936.3213, usercpu_time_millis: 420, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7257, kappa: 0.4547, kb_relative_information_score: 594.6167, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7397, predictive_accuracy: 0.7303, prior_entropy: 0.9988, recall: 0.7303, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8922, scimark_benchmark: 938.1282, usercpu_time_millis: 2870, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7153, kappa: 0.4336, kb_relative_information_score: 584.4672, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7275, predictive_accuracy: 0.7197, prior_entropy: 0.9988, recall: 0.7197, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8955, scimark_benchmark: 934.695, usercpu_time_millis: 1180, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7225, kappa: 0.4474, kb_relative_information_score: 599.8978, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7338, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8938, scimark_benchmark: 938.8535, usercpu_time_millis: 530, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.7071, kappa: 0.4159, kb_relative_information_score: 577.0214, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7155, predictive_accuracy: 0.7106, prior_entropy: 0.9988, recall: 0.7106, relative_absolute_error: 0.8609, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9033, scimark_benchmark: 907.756, usercpu_time_millis: 290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6871, kappa: 0.3776, kb_relative_information_score: 569.2644, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.6985, predictive_accuracy: 0.6921, prior_entropy: 0.9988, recall: 0.6921, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9095, scimark_benchmark: 935.6052, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.6553, kappa: 0.3133, kb_relative_information_score: 732.8117, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.6635, predictive_accuracy: 0.66, prior_entropy: 0.9988, recall: 0.66, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.935, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.6553, kappa: 0.3133, kb_relative_information_score: 732.8117, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.6635, predictive_accuracy: 0.66, prior_entropy: 0.9988, recall: 0.66, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.935, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.6553, kappa: 0.3133, kb_relative_information_score: 732.8117, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.6635, predictive_accuracy: 0.66, prior_entropy: 0.9988, recall: 0.66, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.935, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.6553, kappa: 0.3133, kb_relative_information_score: 732.8117, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.6635, predictive_accuracy: 0.66, prior_entropy: 0.9988, recall: 0.66, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.935, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6583, kappa: 0.3193, kb_relative_information_score: 738.8732, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.6666, predictive_accuracy: 0.6629, prior_entropy: 0.9988, recall: 0.6629, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9338, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, f_measure: 0.3565, kb_relative_information_score: -0.4157, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.271, predictive_accuracy: 0.5206, prior_entropy: 0.9988, recall: 0.5206, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.6706, kappa: 0.3457, kb_relative_information_score: 1101.4779, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.683, predictive_accuracy: 0.6765, prior_entropy: 0.9988, recall: 0.6765, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9982, scimark_benchmark: 936.1714, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.6582, kappa: 0.3225, kb_relative_information_score: 1018.5141, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.6728, predictive_accuracy: 0.6653, prior_entropy: 0.9988, recall: 0.6653, relative_absolute_error: 0.7075, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0022, scimark_benchmark: 936.1714, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.6364, kappa: 0.2891, kb_relative_information_score: 883.3947, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.6661, predictive_accuracy: 0.6503, prior_entropy: 0.9988, recall: 0.6503, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0017, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.5869, kappa: 0.2066, kb_relative_information_score: 649.6364, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.6303, predictive_accuracy: 0.6112, prior_entropy: 0.9988, recall: 0.6112, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0379, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 1324.7884,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6211, f_measure: 0.6032, kappa: 0.2072, kb_relative_information_score: 357.5101, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.6068, predictive_accuracy: 0.6068, prior_entropy: 0.9988, recall: 0.6068, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9874, scimark_benchmark: 1349.9643, usercpu_time_millis: 2070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.7995, kappa: 0.5982, kb_relative_information_score: 1647.9641, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.8008, predictive_accuracy: 0.8, prior_entropy: 0.9988, recall: 0.8, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.754, scimark_benchmark: 1332.1612, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.6991, kappa: 0.3982, kb_relative_information_score: 1046.7641, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.703, predictive_accuracy: 0.7012, prior_entropy: 0.9988, recall: 0.7012, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8621, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.7995, kappa: 0.5982, kb_relative_information_score: 1647.9641, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.8008, predictive_accuracy: 0.8, prior_entropy: 0.9988, recall: 0.8, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.754, scimark_benchmark: 1347.3402, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7802, kappa: 0.5607, kb_relative_information_score: 1038.8318, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.787, predictive_accuracy: 0.7821, prior_entropy: 0.9988, recall: 0.7821, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8025, scimark_benchmark: 1317.5348, usercpu_time_millis: 350, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.5124, kappa: 0.1713, kb_relative_information_score: 379.7868, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7738, predictive_accuracy: 0.6, prior_entropy: 0.9988, recall: 0.6, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9452, scimark_benchmark: 1339.3082, usercpu_time_millis: 490, usercpu_time_millis_testing: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.7958, kappa: 0.5917, kb_relative_information_score: 1285.2302, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.802, predictive_accuracy: 0.7974, prior_entropy: 0.9988, recall: 0.7974, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7565, scimark_benchmark: 1322.5413, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8109, kappa: 0.6226, kb_relative_information_score: 1585.306, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.8212, predictive_accuracy: 0.8129, prior_entropy: 0.9988, recall: 0.8129, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7254, scimark_benchmark: 1321.8132, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7758, kappa: 0.5508, kb_relative_information_score: 1751.5488, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7758, predictive_accuracy: 0.7759, prior_entropy: 0.9988, recall: 0.7759, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8486, scimark_benchmark: 1324.5762, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6211, f_measure: 0.6032, kappa: 0.2072, kb_relative_information_score: 357.5101, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.6068, predictive_accuracy: 0.6068, prior_entropy: 0.9988, recall: 0.6068, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9874, scimark_benchmark: 1342.4614, usercpu_time_millis: 2110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7007, kappa: 0.4006, kb_relative_information_score: 1086.1385, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7029, predictive_accuracy: 0.7021, prior_entropy: 0.9988, recall: 0.7021, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8619, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.7995, kappa: 0.5982, kb_relative_information_score: 1647.9641, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.8008, predictive_accuracy: 0.8, prior_entropy: 0.9988, recall: 0.8, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.754, scimark_benchmark: 1303.5632, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7098, kappa: 0.4189, kb_relative_information_score: 1124.2575, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4992, number_of_instances: 3400, precision: 0.7122, predictive_accuracy: 0.7112, prior_entropy: 0.9988, recall: 0.7112, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8512, scimark_benchmark: 940.3347,

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