Task
Supervised Classification on fri_c1_100_25

Supervised Classification on fri_c1_100_25

Task 3677 Supervised Classification fri_c1_100_25 566 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: 0.7923, f_measure: 0.7477, kappa: 0.4939, kb_relative_information_score: 43.8637, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7529, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.6157, kappa: 0.2298, kb_relative_information_score: 18.9562, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6194, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.6595, kappa: 0.3159, kb_relative_information_score: 21.3546, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6594, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8197, kappa: 0.6378, kb_relative_information_score: 43.1746, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.6595, kappa: 0.3159, kb_relative_information_score: 21.8513, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6594, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.6903, kappa: 0.38, kb_relative_information_score: 27.8065, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6918, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5223, root_relative_squared_error: 1.0464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 55.3509, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6174, f_measure: 0.5984, kappa: 0.1932, kb_relative_information_score: 20.9397, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5987, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5927, root_relative_squared_error: 1.1876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8696, kappa: 0.7381, kb_relative_information_score: 56.4612, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8709, predictive_accuracy: 0.87, prior_entropy: 0.9975, recall: 0.87, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 46.6744, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 16.8341, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 16.8341, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.6898, kappa: 0.377, kb_relative_information_score: 19.7914, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6897, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 24.1219, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 46.5811, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7293, kappa: 0.4561, kb_relative_information_score: 27.4009, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7299, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.74, kappa: 0.4781, kb_relative_information_score: 34.2286, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8598, kappa: 0.7183, kb_relative_information_score: 61.2186, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8602, predictive_accuracy: 0.86, prior_entropy: 0.9975, recall: 0.86, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8598, kappa: 0.7183, kb_relative_information_score: 61.2186, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8602, predictive_accuracy: 0.86, prior_entropy: 0.9975, recall: 0.86, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.8401, kappa: 0.6796, kb_relative_information_score: 66.5525, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.6595, kappa: 0.3159, kb_relative_information_score: 21.8218, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6594, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.6385, kappa: 0.2739, kb_relative_information_score: 26.9925, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6392, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.0949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 26.7663, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 43.7094, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.76, kappa: 0.5183, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 32.4303, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.7187, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.8401, kappa: 0.6796, kb_relative_information_score: 66.5525, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.6157, kappa: 0.2298, kb_relative_information_score: 18.9555, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6194, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.76, kappa: 0.5183, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.6803, kappa: 0.3608, kb_relative_information_score: 35.7901, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6827, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.6595, kappa: 0.3159, kb_relative_information_score: 21.8218, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6594, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7, kappa: 0.3978, kb_relative_information_score: 19.5534, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7285, kappa: 0.4651, kb_relative_information_score: 25.1755, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7451, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.8295, kappa: 0.6575, kb_relative_information_score: 65.8196, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8306, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.76, kappa: 0.5183, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6591, kappa: 0.3254, kb_relative_information_score: 33.6593, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6808, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.151, scimark_benchmark: 1631.1992, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7, kappa: 0.3978, kb_relative_information_score: 39.6894, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0974, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.76, kappa: 0.5183, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816, scimark_benchmark: 1361.8613, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7, kappa: 0.3978, kb_relative_information_score: 39.6894, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0974, scimark_benchmark: 1378.8002, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6591, kappa: 0.3254, kb_relative_information_score: 33.6593, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6808, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.151, scimark_benchmark: 1357.1218, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.6302, kappa: 0.2618, kb_relative_information_score: 24.0083, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6335, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1225, scimark_benchmark: 1908.2191, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.5902, kappa: 0.178, kb_relative_information_score: 17.5791, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5905, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2829, scimark_benchmark: 1827.4462, 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: 0.8414, f_measure: 0.7358, kappa: 0.488, kb_relative_information_score: 53.3141, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7717, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8112, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.5954, kappa: 0.2621, kb_relative_information_score: 26.4015, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6872, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.984, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.6452, kappa: 0.3099, kb_relative_information_score: 14.3619, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.671, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.78, kappa: 0.5584, kb_relative_information_score: 48.0436, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7787, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7002, kappa: 0.4007, kb_relative_information_score: 23.3167, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7027, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9214, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.7701, kappa: 0.5389, kb_relative_information_score: 53.7595, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 57.7795, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7899, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6498, kappa: 0.2966, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6496, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6394, kappa: 0.2757, kb_relative_information_score: 27.6292, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6394, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.66, kappa: 0.3175, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, f_measure: 0.629, kappa: 0.2546, kb_relative_information_score: 25.6192, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6291, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2187, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6502, kappa: 0.2983, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1854, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.78, kappa: 0.5584, kb_relative_information_score: 45.2059, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8185, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 25.6192, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7899, kappa: 0.582, kb_relative_information_score: 48.9707, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7975, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8125, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5753, f_measure: 0.629, kappa: 0.2546, kb_relative_information_score: 7.0577, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6291, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5289, root_relative_squared_error: 1.0598, scimark_benchmark: 1732.2066,

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