Task
Supervised Classification on schizo

Supervised Classification on schizo

Task 3557 Supervised Classification schizo 505 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: 0.9539, build_cpu_time: 0.274, build_memory: 68606095.2, f_measure: 0.8761, kappa: 0.7518, kb_relative_information_score: 173.9862, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.878, predictive_accuracy: 0.8765, prior_entropy: 0.9988, recall: 0.8765, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6437, scimark_benchmark: 932.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.5931, kappa: 0.1874, kb_relative_information_score: 30.168, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5969, predictive_accuracy: 0.5971, prior_entropy: 0.9988, recall: 0.5971, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0029, scimark_benchmark: 1264.9916, usercpu_time_millis: 2140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7215, kappa: 0.4468, kb_relative_information_score: 124.8929, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7365, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8315, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7773, kappa: 0.5552, kb_relative_information_score: 103.1572, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7853, predictive_accuracy: 0.7794, prior_entropy: 0.9988, recall: 0.7794, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1351.1238, usercpu_time_millis: 390, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8553, kappa: 0.7102, kb_relative_information_score: 151.7756, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8582, predictive_accuracy: 0.8559, prior_entropy: 0.9988, recall: 0.8559, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6994, scimark_benchmark: 1336.4564, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8553, kappa: 0.7102, kb_relative_information_score: 151.7756, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8582, predictive_accuracy: 0.8559, prior_entropy: 0.9988, recall: 0.8559, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6994, scimark_benchmark: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8383, kappa: 0.676, kb_relative_information_score: 229.7288, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8383, predictive_accuracy: 0.8382, prior_entropy: 0.9988, recall: 0.8382, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8051, scimark_benchmark: 1345.6844, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.5931, kappa: 0.1874, kb_relative_information_score: 30.168, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5969, predictive_accuracy: 0.5971, prior_entropy: 0.9988, recall: 0.5971, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0029, scimark_benchmark: 1313.8988, usercpu_time_millis: 2080, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.714, kappa: 0.4299, kb_relative_information_score: 120.6111, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7235, predictive_accuracy: 0.7176, prior_entropy: 0.9988, recall: 0.7176, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8373, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8553, kappa: 0.7102, kb_relative_information_score: 151.7756, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8582, predictive_accuracy: 0.8559, prior_entropy: 0.9988, recall: 0.8559, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6994, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8383, kappa: 0.676, kb_relative_information_score: 229.7288, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8383, predictive_accuracy: 0.8382, prior_entropy: 0.9988, recall: 0.8382, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8051, scimark_benchmark: 1331.2559, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.799, kappa: 0.5976, kb_relative_information_score: 130.1684, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8025, predictive_accuracy: 0.8, prior_entropy: 0.9988, recall: 0.8, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7502, scimark_benchmark: 1292.514, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7773, kappa: 0.5552, kb_relative_information_score: 103.1572, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7853, predictive_accuracy: 0.7794, prior_entropy: 0.9988, recall: 0.7794, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1350.2591, usercpu_time_millis: 370, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8074, kappa: 0.6148, kb_relative_information_score: 174.5819, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8136, predictive_accuracy: 0.8088, prior_entropy: 0.9988, recall: 0.8088, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7275, scimark_benchmark: 1322.5413, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8553, kappa: 0.7102, kb_relative_information_score: 151.7756, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8582, predictive_accuracy: 0.8559, prior_entropy: 0.9988, recall: 0.8559, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6994, scimark_benchmark: 1324.7884, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.5931, kappa: 0.1874, kb_relative_information_score: 30.168, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5969, predictive_accuracy: 0.5971, prior_entropy: 0.9988, recall: 0.5971, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0029, scimark_benchmark: 1306.9281, usercpu_time_millis: 2450, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8383, kappa: 0.676, kb_relative_information_score: 229.7288, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8383, predictive_accuracy: 0.8382, prior_entropy: 0.9988, recall: 0.8382, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8051, scimark_benchmark: 1317.5857, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 1325.8468,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7215, kappa: 0.4468, kb_relative_information_score: 124.8929, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7365, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8315, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7773, kappa: 0.5552, kb_relative_information_score: 103.1572, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7853, predictive_accuracy: 0.7794, prior_entropy: 0.9988, recall: 0.7794, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 879.4299, usercpu_time_millis: 490, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 410,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.5126, kappa: 0.0308, kb_relative_information_score: 18.4461, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.517, predictive_accuracy: 0.5206, prior_entropy: 0.9988, recall: 0.5206, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.0548, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.4846, kappa: 0.0097, kb_relative_information_score: 6.0008, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5069, predictive_accuracy: 0.5147, prior_entropy: 0.9988, recall: 0.5147, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0363, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7123, kappa: 0.425, kb_relative_information_score: 63.2302, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7177, predictive_accuracy: 0.7147, prior_entropy: 0.9988, recall: 0.7147, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.4284, kappa: -0.0244, kb_relative_information_score: -0.1676, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.4772, predictive_accuracy: 0.5029, prior_entropy: 0.9988, recall: 0.5029, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.6004, kappa: 0.2005, kb_relative_information_score: 31.7768, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6025, predictive_accuracy: 0.6029, prior_entropy: 0.9988, recall: 0.6029, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.6026, kappa: 0.2082, kb_relative_information_score: 53.6614, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6061, predictive_accuracy: 0.6029, prior_entropy: 0.9988, recall: 0.6029, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.1719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6636, kappa: 0.326, kb_relative_information_score: 103.1433, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6647, predictive_accuracy: 0.6647, prior_entropy: 0.9988, recall: 0.6647, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6556, kappa: 0.3159, kb_relative_information_score: 90.1288, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6675, predictive_accuracy: 0.6618, prior_entropy: 0.9988, recall: 0.6618, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.922, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, f_measure: 0.3565, kb_relative_information_score: -0.0416, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 340, 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: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7227, kappa: 0.4476, kb_relative_information_score: 124.7531, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7332, predictive_accuracy: 0.7265, prior_entropy: 0.9988, recall: 0.7265, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8363, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8383, kappa: 0.676, kb_relative_information_score: 229.7288, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8383, predictive_accuracy: 0.8382, prior_entropy: 0.9988, recall: 0.8382, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8051, scimark_benchmark: 941.3847, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, f_measure: 0.5126, kappa: 0.0308, kb_relative_information_score: 12.7741, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.517, predictive_accuracy: 0.5206, prior_entropy: 0.9988, recall: 0.5206, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5213, root_relative_squared_error: 1.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6198, kappa: 0.2535, kb_relative_information_score: 61.548, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6427, predictive_accuracy: 0.6324, prior_entropy: 0.9988, recall: 0.6324, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9364, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.803, kappa: 0.6057, kb_relative_information_score: 187.7676, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8034, predictive_accuracy: 0.8029, prior_entropy: 0.9988, recall: 0.8029, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7792, scimark_benchmark: 998.7068, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.4328, kappa: 0.0148, kb_relative_information_score: 15.2105, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5197, predictive_accuracy: 0.5235, prior_entropy: 0.9988, recall: 0.5235, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6903, root_relative_squared_error: 1.3817, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9294, kappa: 0.8585, kb_relative_information_score: 289.1882, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.9294, predictive_accuracy: 0.9294, prior_entropy: 0.9988, recall: 0.9294, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.6008, kappa: 0.2109, kb_relative_information_score: 69.3413, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6102, predictive_accuracy: 0.6029, prior_entropy: 0.9988, recall: 0.6029, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6301, root_relative_squared_error: 1.2613, scimark_benchmark: 894.4591, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.6986, kappa: 0.4041, kb_relative_information_score: 52.3145, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.719, predictive_accuracy: 0.7059, prior_entropy: 0.9988, recall: 0.7059, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9077, scimark_benchmark: 938.988, usercpu_time_millis: 1190, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.715, kappa: 0.4346, kb_relative_information_score: 55.0094, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7315, predictive_accuracy: 0.7206, prior_entropy: 0.9988, recall: 0.7206, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9008, scimark_benchmark: 870.2101, usercpu_time_millis: 3970, usercpu_time_millis_testing: 2250, usercpu_time_millis_training: 1720,

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