Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 3825 Supervised Classification mfeat-morphological 555 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1960.5777, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1963.765, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0384, root_relative_squared_error: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.997, kappa: 0.9833, kb_relative_information_score: 1933.4747, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1966.7287, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1948.2264, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9965, kappa: 0.9806, kb_relative_information_score: 1937.8664, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.054, root_relative_squared_error: 0.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1956.9505, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1939.7992, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1930.2391, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.1556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1952.4828, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1953.2482, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1968.1424, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0392, root_relative_squared_error: 0.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1970.7981, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1949.9358, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1877.1849, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: -2.1702, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1954.7444, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1954.7444, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1937.6676, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9911, kappa: 0.9513, kb_relative_information_score: 1752.0229, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9914, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1970.7981, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1946.8214, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1963.35, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1962.1167, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0397, root_relative_squared_error: 0.1323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1963.0259, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.1373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1963.35, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1970.1142, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.1311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1970.7981, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 1157.0987, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.946, kappa: 0.6769, kb_relative_information_score: 1058.2653, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.948, predictive_accuracy: 0.9505, prior_entropy: 0.4703, recall: 0.9505, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1930.104, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.997, kappa: 0.9833, kb_relative_information_score: 1950.3654, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.8497, kappa: 0.1657, kb_relative_information_score: -225.6632, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.8498, predictive_accuracy: 0.8495, prior_entropy: 0.4703, recall: 0.8495, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3879, root_relative_squared_error: 1.2931, scimark_benchmark: 1280.301, usercpu_time_millis: 35468.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 35453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9779, kappa: 0.872, kb_relative_information_score: 1684.8162, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9793, predictive_accuracy: 0.979, prior_entropy: 0.4703, recall: 0.979, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.483, scimark_benchmark: 1280.301, usercpu_time_millis: 8468.75, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 8437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.9014, kappa: 0.3561, kb_relative_information_score: 866.0393, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9295, predictive_accuracy: 0.9235, prior_entropy: 0.4703, recall: 0.9235, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.922, scimark_benchmark: 1461.2356, usercpu_time_millis: 2187.5, usercpu_time_millis_testing: 1046.875, usercpu_time_millis_training: 1140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1461.2356, usercpu_time_millis: 125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1961.4031, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.1337, scimark_benchmark: 1787.9841, usercpu_time_millis: 4562.5, usercpu_time_millis_training: 4562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1961.4031, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.1337, scimark_benchmark: 1388.5982, usercpu_time_millis: 6710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1629.5273, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.8497, kappa: 0.1657, kb_relative_information_score: -225.6632, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.8498, predictive_accuracy: 0.8495, prior_entropy: 0.4703, recall: 0.8495, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3879, root_relative_squared_error: 1.2931, scimark_benchmark: 1668.1009, usercpu_time_millis: 39530, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 39510,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9965, kappa: 0.9805, kb_relative_information_score: 1932.2314, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.191, scimark_benchmark: 1925.3565,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1970.7981, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1963.1695, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1282, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, 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: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 1282.0603, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.998, kappa: 0.9889, kb_relative_information_score: 1965.6402, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1426, scimark_benchmark: 1161.6458, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1948.2264, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1666, scimark_benchmark: 941.1785, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1965.3661, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.1335, scimark_benchmark: 1447.2612, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.996, kappa: 0.9779, kb_relative_information_score: 1944.5865, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.4703, recall: 0.996, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.1536, scimark_benchmark: 1840.6094, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.997, kappa: 0.9833, kb_relative_information_score: 1955.0808, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.1443, scimark_benchmark: 1840.6094, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1968.2754, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0395, root_relative_squared_error: 0.1317, scimark_benchmark: 1873.1108, usercpu_time_millis: 250, usercpu_time_millis_testing: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1937.6675, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1406, scimark_benchmark: 1873.1108, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1954.7444, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.135, scimark_benchmark: 1873.1108, usercpu_time_millis: 234.375, usercpu_time_millis_testing: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 1870.7932, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1946.9345, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9965, kappa: 0.9805, kb_relative_information_score: 1930.1655, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1911, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1960.5777, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1960.5777, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1953.2482, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1332, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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