Task
Supervised Classification on rmftsa_ladata

Supervised Classification on rmftsa_ladata

Task 3583 Supervised Classification rmftsa_ladata 547 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: 0.9423, f_measure: 0.866, kappa: 0.7274, kb_relative_information_score: 339.4753, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.866, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6203, scimark_benchmark: 1838.8826, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8896, kappa: 0.7753, kb_relative_information_score: 344.9216, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8897, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5752, scimark_benchmark: 1838.8826, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.8266, kappa: 0.6472, kb_relative_information_score: 326.8313, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8265, predictive_accuracy: 0.8268, prior_entropy: 0.9886, recall: 0.8268, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8373, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.8462, kappa: 0.687, kb_relative_information_score: 347.2297, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8462, predictive_accuracy: 0.8465, prior_entropy: 0.9886, recall: 0.8465, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7883, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8537, kappa: 0.7019, kb_relative_information_score: 344.2629, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8544, predictive_accuracy: 0.8543, prior_entropy: 0.9886, recall: 0.8543, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6842, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.834, kappa: 0.6619, kb_relative_information_score: 336.2994, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8344, predictive_accuracy: 0.8346, prior_entropy: 0.9886, recall: 0.8346, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7396, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.4056, kb_relative_information_score: -0.0427, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 1, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.496, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8716, kappa: 0.7385, kb_relative_information_score: 374.9504, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9886, recall: 0.872, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7212, usercpu_time_millis: 21.969, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 21.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7956, kappa: 0.5852, kb_relative_information_score: 295.1484, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.7961, predictive_accuracy: 0.7953, prior_entropy: 0.9886, recall: 0.7953, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9122, usercpu_time_millis: 1.173, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8855, kappa: 0.7668, kb_relative_information_score: 389.2739, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8859, predictive_accuracy: 0.8858, prior_entropy: 0.9886, recall: 0.8858, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6812, usercpu_time_millis: 0.452, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.8337, kappa: 0.6609, kb_relative_information_score: 336.0725, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8349, predictive_accuracy: 0.8346, prior_entropy: 0.9886, recall: 0.8346, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8198, usercpu_time_millis: 0.366, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8621, kappa: 0.7187, kb_relative_information_score: 366.7656, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8698, predictive_accuracy: 0.8642, prior_entropy: 0.9886, recall: 0.8642, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.743, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.4599, kappa: -0.0025, kb_relative_information_score: 39.3727, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.5051, predictive_accuracy: 0.5492, prior_entropy: 0.9886, recall: 0.5492, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6714, root_relative_squared_error: 1.3536, usercpu_time_millis: 0.282, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8676, kappa: 0.7302, kb_relative_information_score: 370.858, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7322, usercpu_time_millis: 5.486, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 4.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8802, kappa: 0.7573, kb_relative_information_score: 383.1353, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8813, predictive_accuracy: 0.8799, prior_entropy: 0.9886, recall: 0.8799, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6986, usercpu_time_millis: 0.257, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.8667, kappa: 0.728, kb_relative_information_score: 370.858, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8712, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7322, usercpu_time_millis: 46.334, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 46.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8876, kappa: 0.7714, kb_relative_information_score: 391.3201, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8877, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6753, usercpu_time_millis: 27.058, usercpu_time_millis_testing: 3.557, usercpu_time_millis_training: 23.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8916, kappa: 0.7796, kb_relative_information_score: 395.4125, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 0.9886, recall: 0.8917, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6634, usercpu_time_millis: 3.897, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 3.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8916, kappa: 0.7794, kb_relative_information_score: 395.4125, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 0.9886, recall: 0.8917, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6634, usercpu_time_millis: 396.884, usercpu_time_millis_testing: 6.395, usercpu_time_millis_training: 390.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8956, kappa: 0.7877, kb_relative_information_score: 399.5049, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8956, predictive_accuracy: 0.8957, prior_entropy: 0.9886, recall: 0.8957, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6512, usercpu_time_millis: 4.463, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 391.3201, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8879, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6753, usercpu_time_millis: 0.212, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8955, kappa: 0.7874, kb_relative_information_score: 399.5049, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8956, predictive_accuracy: 0.8957, prior_entropy: 0.9886, recall: 0.8957, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6512, usercpu_time_millis: 0.758, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8955, kappa: 0.7874, kb_relative_information_score: 399.5049, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8956, predictive_accuracy: 0.8957, prior_entropy: 0.9886, recall: 0.8957, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6512, usercpu_time_millis: 9.374, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 9.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8777, kappa: 0.751, kb_relative_information_score: 381.089, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.7043, usercpu_time_millis: 83.911, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 83.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.8068, kappa: 0.6058, kb_relative_information_score: 309.4719, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8108, predictive_accuracy: 0.8091, prior_entropy: 0.9886, recall: 0.8091, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.437, root_relative_squared_error: 0.881, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.814, kappa: 0.6205, kb_relative_information_score: 317.6567, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8212, predictive_accuracy: 0.8169, prior_entropy: 0.9886, recall: 0.8169, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8626, usercpu_time_millis: 1.313, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.87, kappa: 0.7357, kb_relative_information_score: 372.9042, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.87, predictive_accuracy: 0.8701, prior_entropy: 0.9886, recall: 0.8701, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7267, usercpu_time_millis: 2.01, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 1.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.862, kappa: 0.7191, kb_relative_information_score: 364.7194, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.862, predictive_accuracy: 0.8622, prior_entropy: 0.9886, recall: 0.8622, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7484, usercpu_time_millis: 1.545, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 1.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.5129, kappa: 0.0069, kb_relative_information_score: 4.5872, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.5113, predictive_accuracy: 0.5157, prior_entropy: 0.9886, recall: 0.5157, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6959, root_relative_squared_error: 1.4029, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.5754, kappa: 0.1993, kb_relative_information_score: 131.452, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.6983, predictive_accuracy: 0.6378, prior_entropy: 0.9886, recall: 0.6378, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6018, root_relative_squared_error: 1.2133, usercpu_time_millis: 0.321, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4897, kappa: -0.0049, kb_relative_information_score: 25.0493, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.5047, predictive_accuracy: 0.5354, prior_entropy: 0.9886, recall: 0.5354, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6816, root_relative_squared_error: 1.3741, usercpu_time_millis: 15.385, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 14.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8995, kappa: 0.7957, kb_relative_information_score: 403.5973, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8995, predictive_accuracy: 0.8996, prior_entropy: 0.9886, recall: 0.8996, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6388, usercpu_time_millis: 0.317, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8379, kappa: 0.6696, kb_relative_information_score: 340.1649, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8385, predictive_accuracy: 0.8386, prior_entropy: 0.9886, recall: 0.8386, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.81, usercpu_time_millis: 0.53, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 0.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8796, kappa: 0.7549, kb_relative_information_score: 383.1353, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8799, predictive_accuracy: 0.8799, prior_entropy: 0.9886, recall: 0.8799, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6986, usercpu_time_millis: 0.768, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8995, kappa: 0.7957, kb_relative_information_score: 403.5973, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8995, predictive_accuracy: 0.8996, prior_entropy: 0.9886, recall: 0.8996, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6388, usercpu_time_millis: 0.235, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.8524, kappa: 0.6988, kb_relative_information_score: 356.5346, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8585, predictive_accuracy: 0.8543, prior_entropy: 0.9886, recall: 0.8543, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7695, usercpu_time_millis: 1.366, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 1.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.86, kappa: 0.7145, kb_relative_information_score: 364.7194, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8682, predictive_accuracy: 0.8622, prior_entropy: 0.9886, recall: 0.8622, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7484, usercpu_time_millis: 0.182, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8856, kappa: 0.7673, kb_relative_information_score: 389.2739, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8857, predictive_accuracy: 0.8858, prior_entropy: 0.9886, recall: 0.8858, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6812, usercpu_time_millis: 0.064, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.053,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8387, kappa: 0.6723, kb_relative_information_score: 319.0322, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8388, predictive_accuracy: 0.8386, prior_entropy: 0.9886, recall: 0.8386, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7253, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8896, kappa: 0.7753, kb_relative_information_score: 344.9216, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8897, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5752, scimark_benchmark: 943.1009, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 346.4321, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8879, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6193, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8759, kappa: 0.7476, kb_relative_information_score: 322.3513, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9886, recall: 0.876, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6076, scimark_benchmark: 901.6243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8739, kappa: 0.7435, kb_relative_information_score: 349.4242, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.9886, recall: 0.874, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6092, scimark_benchmark: 944.0133, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 53.6962, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 934.5964, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8916, kappa: 0.7796, kb_relative_information_score: 344.9151, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 0.9886, recall: 0.8917, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.5757, scimark_benchmark: 933.3455, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8816, kappa: 0.759, kb_relative_information_score: 343.2039, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8818, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5784, scimark_benchmark: 945.6228, usercpu_time_millis: 1770, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8387, kappa: 0.6723, kb_relative_information_score: 319.0322, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8388, predictive_accuracy: 0.8386, prior_entropy: 0.9886, recall: 0.8386, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7253, scimark_benchmark: 941.3057, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8896, kappa: 0.7753, kb_relative_information_score: 344.9216, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8897, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5752, scimark_benchmark: 1051.249, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8956, kappa: 0.7879, kb_relative_information_score: 342.8359, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8956, predictive_accuracy: 0.8957, prior_entropy: 0.9886, recall: 0.8957, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5556, scimark_benchmark: 851.2074, usercpu_time_millis: 4340, usercpu_time_millis_testing: 2090, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8896, kappa: 0.7755, kb_relative_information_score: 339.4639, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8896, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.5664, scimark_benchmark: 938.988, usercpu_time_millis: 1130, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9035, kappa: 0.8037, kb_relative_information_score: 341.8494, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.9035, predictive_accuracy: 0.9035, prior_entropy: 0.9886, recall: 0.9035, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.5612, scimark_benchmark: 906.8974, usercpu_time_millis: 560, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8878, kappa: 0.7719, kb_relative_information_score: 339.2077, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8877, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5731, scimark_benchmark: 924.2305, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8876, kappa: 0.7712, kb_relative_information_score: 337.3879, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8877, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.5882, scimark_benchmark: 936.1714, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8769, kappa: 0.7489, kb_relative_information_score: 350.2965, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.88, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6135, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8769, kappa: 0.7489, kb_relative_information_score: 350.2965, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.88, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6135, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8769, kappa: 0.7489, kb_relative_information_score: 350.2965, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.88, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6135, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8769, kappa: 0.7489, kb_relative_information_score: 350.2965, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.88, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6135, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8769, kappa: 0.7489, kb_relative_information_score: 350.2965, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.88, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6135, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.4056, kb_relative_information_score: -0.0427, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 1, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.496, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8733, kappa: 0.7416, kb_relative_information_score: 375.4977, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8748, predictive_accuracy: 0.874, prior_entropy: 0.9886, recall: 0.874, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6939, scimark_benchmark: 926.5859, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8714, kappa: 0.738, kb_relative_information_score: 374.2015, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 0.9886, recall: 0.872, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6938, scimark_benchmark: 935.6052, usercpu_time_millis: 160, usercpu_time_millis_training: 160,

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