Task
Supervised Classification on fri_c1_100_5

Supervised Classification on fri_c1_100_5

Task 3694 Supervised Classification fri_c1_100_5 914 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: 0.7689, f_measure: 0.8196, kappa: 0.6349, kb_relative_information_score: 50.5227, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7989, kappa: 0.5927, kb_relative_information_score: 35.2607, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 41.7469, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 50.2831, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7533, kappa: 0.5031, kb_relative_information_score: 36.8675, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7361, kappa: 0.4661, kb_relative_information_score: 36.1915, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7421, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8293, kappa: 0.6545, kb_relative_information_score: 64.3232, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.7394, kappa: 0.4726, kb_relative_information_score: 41.6197, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7393, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7989, kappa: 0.5927, kb_relative_information_score: 49.3871, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7586, kappa: 0.5112, kb_relative_information_score: 46.2559, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7597, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7138, kappa: 0.4328, kb_relative_information_score: 28.1023, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7361, kappa: 0.4661, kb_relative_information_score: 37.7311, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7421, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7138, kappa: 0.4328, kb_relative_information_score: 28.1023, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6792, kappa: 0.3509, kb_relative_information_score: 29.2966, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.679, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.82, kappa: 0.6364, kb_relative_information_score: 52.2893, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 41.1631, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -0.1774, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.755, kappa: 0.5052, kb_relative_information_score: 35.2258, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7662, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8586, kappa: 0.7137, kb_relative_information_score: 55.2173, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8637, predictive_accuracy: 0.86, prior_entropy: 0.9931, recall: 0.86, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8586, kappa: 0.7137, kb_relative_information_score: 55.2173, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8637, predictive_accuracy: 0.86, prior_entropy: 0.9931, recall: 0.86, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7576, kappa: 0.5092, kb_relative_information_score: 51.163, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7609, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7644, kappa: 0.5248, kb_relative_information_score: 37.1075, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7789, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.6506, kappa: 0.2961, kb_relative_information_score: 18.4644, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6612, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7644, kappa: 0.5248, kb_relative_information_score: 37.1075, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7789, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.6506, kappa: 0.2961, kb_relative_information_score: 31.0194, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6612, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7576, kappa: 0.5092, kb_relative_information_score: 51.163, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7609, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7989, kappa: 0.5927, kb_relative_information_score: 35.0894, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8102, kappa: 0.6169, kb_relative_information_score: 50.638, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8105, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6891, kappa: 0.3882, kb_relative_information_score: 41.1595, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7441, predictive_accuracy: 0.71, prior_entropy: 0.9931, recall: 0.71, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6891, kappa: 0.3882, kb_relative_information_score: 41.1595, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7441, predictive_accuracy: 0.71, prior_entropy: 0.9931, recall: 0.71, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8104, kappa: 0.6185, kb_relative_information_score: 53.6744, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8123, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7644, kappa: 0.5248, kb_relative_information_score: 37.1075, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7789, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7898, kappa: 0.5749, kb_relative_information_score: 43.1834, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7897, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.84, kappa: 0.6768, kb_relative_information_score: 49.8357, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.76, kappa: 0.5152, kb_relative_information_score: 51.2996, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.78, kappa: 0.5556, kb_relative_information_score: 55.3556, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9428, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.6211, kappa: 0.2355, kb_relative_information_score: 24.9353, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6279, predictive_accuracy: 0.63, prior_entropy: 0.9931, recall: 0.63, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2227, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6286, kappa: 0.2781, kb_relative_information_score: 31.0194, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.691, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1721, scimark_benchmark: 1631.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.6211, kappa: 0.2355, kb_relative_information_score: 24.9353, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6279, predictive_accuracy: 0.63, prior_entropy: 0.9931, recall: 0.63, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2227, scimark_benchmark: 1304.2026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.78, kappa: 0.5556, kb_relative_information_score: 55.3556, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9428, scimark_benchmark: 1640.3853, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6286, kappa: 0.2781, kb_relative_information_score: 31.0194, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.691, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1721, scimark_benchmark: 1651.4622, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.6733, kappa: 0.3402, kb_relative_information_score: 23.0808, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6809, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9623, scimark_benchmark: 1908.2191, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 20.3319, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9475, scimark_benchmark: 1908.2191, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8899, kappa: 0.7773, kb_relative_information_score: 73.9988, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8899, predictive_accuracy: 0.89, prior_entropy: 0.9931, recall: 0.89, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5834, scimark_benchmark: 1329.4156, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7795, kappa: 0.5538, kb_relative_information_score: 47.9243, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7796, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8163, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.755, kappa: 0.5052, kb_relative_information_score: 35.2258, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7662, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8729, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 67.5237, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4, root_relative_squared_error: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8703, kappa: 0.739, kb_relative_information_score: 73.6078, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8721, predictive_accuracy: 0.87, prior_entropy: 0.9931, recall: 0.87, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.8498, kappa: 0.6964, kb_relative_information_score: 69.5517, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8498, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7122, kappa: 0.4203, kb_relative_information_score: 43.1875, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7267, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0636, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 33.0474, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1547, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7804, kappa: 0.5573, kb_relative_information_score: 40.8843, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7813, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8597, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.8, kappa: 0.596, kb_relative_information_score: 46.2702, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8365, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7258, kappa: 0.4549, kb_relative_information_score: 22.4723, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7676, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9184, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7533, kappa: 0.5031, kb_relative_information_score: 36.8675, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8215, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.4124, kappa: 0.0244, kb_relative_information_score: 10.7392, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7556, predictive_accuracy: 0.56, prior_entropy: 0.9931, recall: 0.56, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.76, kappa: 0.5152, kb_relative_information_score: 41.1734, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9016, scimark_benchmark: 1838.8826,

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