Task
Supervised Classification on bank32nh

Supervised Classification on bank32nh

Task 3698 Supervised Classification bank32nh 544 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: 0.8531, f_measure: 0.7926, kappa: 0.5017, kb_relative_information_score: 2989.1023, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7959, predictive_accuracy: 0.8019, prior_entropy: 0.8937, recall: 0.8019, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.7853, kappa: 0.4896, kb_relative_information_score: 2570.3958, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7839, predictive_accuracy: 0.79, prior_entropy: 0.8937, recall: 0.79, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7891, kappa: 0.4932, kb_relative_information_score: 2897.3524, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7925, predictive_accuracy: 0.7988, prior_entropy: 0.8937, recall: 0.7988, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.8074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8048, kappa: 0.5396, kb_relative_information_score: 3544.9055, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8036, predictive_accuracy: 0.8069, prior_entropy: 0.8937, recall: 0.8069, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.8023, kappa: 0.5366, kb_relative_information_score: 3162.7736, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8017, predictive_accuracy: 0.8031, prior_entropy: 0.8937, recall: 0.8031, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.642, kappa: 0.1319, kb_relative_information_score: 684.5817, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.645, predictive_accuracy: 0.6853, prior_entropy: 0.8937, recall: 0.6853, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7832, kappa: 0.4868, kb_relative_information_score: 3824.3884, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7816, predictive_accuracy: 0.7867, prior_entropy: 0.8937, recall: 0.7867, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8061, kappa: 0.5398, kb_relative_information_score: 3639.4622, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8052, predictive_accuracy: 0.8101, prior_entropy: 0.8937, recall: 0.8101, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7366, kappa: 0.3627, kb_relative_information_score: 2736.4582, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.743, predictive_accuracy: 0.7554, prior_entropy: 0.8937, recall: 0.7554, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.6796, kappa: 0.2225, kb_relative_information_score: 2270.3646, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.6864, predictive_accuracy: 0.7119, prior_entropy: 0.8937, recall: 0.7119, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7905, kappa: 0.497, kb_relative_information_score: 3579.3071, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7932, predictive_accuracy: 0.7996, prior_entropy: 0.8937, recall: 0.7996, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.382, root_relative_squared_error: 0.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.6372, kappa: 0.1215, kb_relative_information_score: 764.8285, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.6444, predictive_accuracy: 0.687, prior_entropy: 0.8937, recall: 0.687, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4648, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.809, kappa: 0.5422, kb_relative_information_score: 4441.8543, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8118, predictive_accuracy: 0.8165, prior_entropy: 0.8937, recall: 0.8165, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.7312, kappa: 0.3479, kb_relative_information_score: 2188.5686, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7507, predictive_accuracy: 0.7583, prior_entropy: 0.8937, recall: 0.7583, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7896, kappa: 0.5011, kb_relative_information_score: 3096.942, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7882, predictive_accuracy: 0.7936, prior_entropy: 0.8937, recall: 0.7936, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.8089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7586, kappa: 0.4142, kb_relative_information_score: 1890.5753, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7854, predictive_accuracy: 0.7831, prior_entropy: 0.8937, recall: 0.7831, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.8405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5629, kb_relative_information_score: -0.2656, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.4755, predictive_accuracy: 0.6896, prior_entropy: 0.8937, recall: 0.6896, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4627, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7154, kappa: 0.3159, kb_relative_information_score: 1382.8608, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7134, predictive_accuracy: 0.7288, prior_entropy: 0.8937, recall: 0.7288, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7696, kappa: 0.4468, kb_relative_information_score: 2997.1595, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7711, predictive_accuracy: 0.7798, prior_entropy: 0.8937, recall: 0.7798, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.7009, kappa: 0.2744, kb_relative_information_score: 1827.6826, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7214, predictive_accuracy: 0.7357, prior_entropy: 0.8937, recall: 0.7357, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7911, kappa: 0.4986, kb_relative_information_score: 3565.4588, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7935, predictive_accuracy: 0.7999, prior_entropy: 0.8937, recall: 0.7999, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7577, kappa: 0.433, kb_relative_information_score: 3072.6138, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7573, predictive_accuracy: 0.7582, prior_entropy: 0.8937, recall: 0.7582, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7929, kappa: 0.5031, kb_relative_information_score: 3586.5616, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7953, predictive_accuracy: 0.8015, prior_entropy: 0.8937, recall: 0.8015, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.8225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.81, kappa: 0.545, kb_relative_information_score: 3245.1952, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8122, predictive_accuracy: 0.817, prior_entropy: 0.8937, recall: 0.817, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.8044, kappa: 0.5312, kb_relative_information_score: 4357.1251, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8066, predictive_accuracy: 0.8119, prior_entropy: 0.8937, recall: 0.8119, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7963, kappa: 0.5103, kb_relative_information_score: 2763.6345, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8006, predictive_accuracy: 0.8059, prior_entropy: 0.8937, recall: 0.8059, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.808, kappa: 0.5404, kb_relative_information_score: 4419.3312, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8099, predictive_accuracy: 0.8149, prior_entropy: 0.8937, recall: 0.8149, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7928, kappa: 0.5028, kb_relative_information_score: 3571.528, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7953, predictive_accuracy: 0.8015, prior_entropy: 0.8937, recall: 0.8015, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7579, kappa: 0.4335, kb_relative_information_score: 3074.2751, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7575, predictive_accuracy: 0.7583, prior_entropy: 0.8937, recall: 0.7583, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.7179, kappa: 0.3168, kb_relative_information_score: 3210.0438, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7576, predictive_accuracy: 0.7556, prior_entropy: 0.8937, recall: 0.7556, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7503, kappa: 0.4003, kb_relative_information_score: 2312.3295, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7502, predictive_accuracy: 0.7611, prior_entropy: 0.8937, recall: 0.7611, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7929, kappa: 0.5031, kb_relative_information_score: 3586.6254, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7953, predictive_accuracy: 0.8015, prior_entropy: 0.8937, recall: 0.8015, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.8225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.809, kappa: 0.5449, kb_relative_information_score: 3330.2885, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.809, predictive_accuracy: 0.8141, prior_entropy: 0.8937, recall: 0.8141, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7634, kappa: 0.4295, kb_relative_information_score: 2419.6095, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7678, predictive_accuracy: 0.7767, prior_entropy: 0.8937, recall: 0.7767, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.7393, kappa: 0.3905, kb_relative_information_score: 2881.5953, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7391, predictive_accuracy: 0.7395, prior_entropy: 0.8937, recall: 0.7395, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.1031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.8097, kappa: 0.5472, kb_relative_information_score: 4404.4017, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8093, predictive_accuracy: 0.8142, prior_entropy: 0.8937, recall: 0.8142, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9316, scimark_benchmark: 1959.6455, usercpu_time_millis: 15453.125, usercpu_time_millis_testing: 4453.125, usercpu_time_millis_training: 11000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4703, f_measure: 0.5501, kappa: -0.0607, kb_relative_information_score: -880.6322, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.5458, predictive_accuracy: 0.5549, prior_entropy: 0.8937, recall: 0.5549, relative_absolute_error: 1.0395, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.6671, root_relative_squared_error: 1.4419, scimark_benchmark: 1959.6455, usercpu_time_millis: 20421.875, usercpu_time_millis_testing: 8546.875, usercpu_time_millis_training: 11875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7995, kappa: 0.5224, kb_relative_information_score: 4210.3186, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.799, predictive_accuracy: 0.8047, prior_entropy: 0.8937, recall: 0.8047, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9552, scimark_benchmark: 1631.1992, usercpu_time_millis: 58656.25, usercpu_time_millis_testing: 3578.125, usercpu_time_millis_training: 55078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.8101, kappa: 0.5631, kb_relative_information_score: 3082.6354, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8143, predictive_accuracy: 0.8076, prior_entropy: 0.8937, recall: 0.8076, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.8193, scimark_benchmark: 1418.8016, usercpu_time_millis: 54830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 54810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4703, f_measure: 0.5501, kappa: -0.0607, kb_relative_information_score: -880.6322, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.5458, predictive_accuracy: 0.5549, prior_entropy: 0.8937, recall: 0.5549, relative_absolute_error: 1.0395, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.6671, root_relative_squared_error: 1.4419, scimark_benchmark: 1375.7808, usercpu_time_millis: 45510, usercpu_time_millis_testing: 18450, usercpu_time_millis_training: 27060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.8097, kappa: 0.5472, kb_relative_information_score: 4404.4017, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8093, predictive_accuracy: 0.8142, prior_entropy: 0.8937, recall: 0.8142, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9316, scimark_benchmark: 1384.4763, usercpu_time_millis: 27150, usercpu_time_millis_testing: 5770, usercpu_time_millis_training: 21380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7995, kappa: 0.5224, kb_relative_information_score: 4210.3186, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.799, predictive_accuracy: 0.8047, prior_entropy: 0.8937, recall: 0.8047, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9552, scimark_benchmark: 1593.8454, usercpu_time_millis: 85910, usercpu_time_millis_testing: 2780, usercpu_time_millis_training: 83130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.7974, kappa: 0.5122, kb_relative_information_score: 3952.426, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8033, predictive_accuracy: 0.8079, prior_entropy: 0.8937, recall: 0.8079, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.8039, scimark_benchmark: 1908.2191, usercpu_time_millis: 59265.625, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 59203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.8121, kappa: 0.5515, kb_relative_information_score: 4474.0726, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8127, predictive_accuracy: 0.8176, prior_entropy: 0.8937, recall: 0.8176, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.923, scimark_benchmark: 1827.4462, usercpu_time_millis: 55921.875, usercpu_time_millis_testing: 4375, usercpu_time_millis_training: 51546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7852, kappa: 0.4946, kb_relative_information_score: 3787.4698, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.784, predictive_accuracy: 0.787, prior_entropy: 0.8937, recall: 0.787, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9464, scimark_benchmark: 1631.9423, usercpu_time_millis: 41400, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 41350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.7974, kappa: 0.5122, kb_relative_information_score: 3952.426, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8033, predictive_accuracy: 0.8079, prior_entropy: 0.8937, recall: 0.8079, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.8039, scimark_benchmark: 1760.5198, usercpu_time_millis: 5859.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 5843.75,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.7825, kappa: 0.473, kb_relative_information_score: 4123.23, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8016, predictive_accuracy: 0.8004, prior_entropy: 0.8937, recall: 0.8004, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9656, usercpu_time_millis: 1062.421, usercpu_time_millis_testing: 200.988, usercpu_time_millis_training: 861.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7929, kappa: 0.5031, kb_relative_information_score: 3586.6254, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7953, predictive_accuracy: 0.8015, prior_entropy: 0.8937, recall: 0.8015, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.8225, scimark_benchmark: 1354.8333, usercpu_time_millis: 370, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.8142, kappa: 0.5651, kb_relative_information_score: 3226.1367, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8138, predictive_accuracy: 0.8146, prior_entropy: 0.8937, recall: 0.8146, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.8075, scimark_benchmark: 1246.9629, usercpu_time_millis: 6600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.8099, kappa: 0.5446, kb_relative_information_score: 4459.1431, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.812, predictive_accuracy: 0.8169, prior_entropy: 0.8937, recall: 0.8169, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.9249, scimark_benchmark: 1618.1738, usercpu_time_millis: 9750, usercpu_time_millis_training: 9750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.8136, kappa: 0.5587, kb_relative_information_score: 4454.1666, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8126, predictive_accuracy: 0.8167, prior_entropy: 0.8937, recall: 0.8167, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9255, scimark_benchmark: 1618.1738, usercpu_time_millis: 593.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8138, kappa: 0.5557, kb_relative_information_score: 3560.2652, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8145, predictive_accuracy: 0.8193, prior_entropy: 0.8937, recall: 0.8193, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7606, scimark_benchmark: 1744.8652, usercpu_time_millis: 390.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.6197, kappa: 0.0961, kb_relative_information_score: 609.3663, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.6135, predictive_accuracy: 0.6281, prior_entropy: 0.8937, recall: 0.6281, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.318, scimark_benchmark: 1744.8652, usercpu_time_millis: 10062.5, usercpu_time_millis_testing: 10000, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7989, kappa: 0.5185, kb_relative_information_score: 3299.7558, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8004, predictive_accuracy: 0.8063, prior_entropy: 0.8937, recall: 0.8063, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7925, scimark_benchmark: 1744.8652, usercpu_time_millis: 6937.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 6921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.7888, kappa: 0.5007, kb_relative_information_score: 2628.581, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7873, predictive_accuracy: 0.7917, prior_entropy: 0.8937, recall: 0.7917, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8596, scimark_benchmark: 1744.8652, usercpu_time_millis: 3546.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7733, kappa: 0.4588, kb_relative_information_score: 2899.5852, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7724, predictive_accuracy: 0.7802, prior_entropy: 0.8937, recall: 0.7802, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8579, scimark_benchmark: 1744.8652, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8009, kappa: 0.5217, kb_relative_information_score: 2764.0454, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8048, predictive_accuracy: 0.8098, prior_entropy: 0.8937, recall: 0.8098, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7848, scimark_benchmark: 1744.8652, usercpu_time_millis: 5109.375, usercpu_time_millis_testing: 421.875, usercpu_time_millis_training: 4687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.8023, kappa: 0.5366, kb_relative_information_score: 3162.7736, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8017, predictive_accuracy: 0.8031, prior_entropy: 0.8937, recall: 0.8031, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8156, scimark_benchmark: 1744.8652, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7607, kappa: 0.4391, kb_relative_information_score: 3134.25, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7599, predictive_accuracy: 0.7615, prior_entropy: 0.8937, recall: 0.7615, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4683, root_relative_squared_error: 1.0122, scimark_benchmark: 1744.8652, usercpu_time_millis: 984.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7929, kappa: 0.5031, kb_relative_information_score: 3586.6254, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7953, predictive_accuracy: 0.8015, prior_entropy: 0.8937, recall: 0.8015, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.8225, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.8097, kappa: 0.5443, kb_relative_information_score: 4456.6549, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8119, predictive_accuracy: 0.8168, prior_entropy: 0.8937, recall: 0.8168, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9252, scimark_benchmark: 1744.8652, usercpu_time_millis: 14046.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 14031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.8136, kappa: 0.5587, kb_relative_information_score: 4454.1666, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8126, predictive_accuracy: 0.8167, prior_entropy: 0.8937, recall: 0.8167, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9255, scimark_benchmark: 1744.8652, usercpu_time_millis: 578.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.8141, kappa: 0.5642, kb_relative_information_score: 3244.3056, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8135, predictive_accuracy: 0.8148, prior_entropy: 0.8937, recall: 0.8148, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.8067, scimark_benchmark: 1744.8652, usercpu_time_millis: 4187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 4171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8138, kappa: 0.5557, kb_relative_information_score: 3560.2652, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8145, predictive_accuracy: 0.8193, prior_entropy: 0.8937, recall: 0.8193, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7606, scimark_benchmark: 1744.8652, usercpu_time_millis: 390.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.6197, kappa: 0.0961, kb_relative_information_score: 609.3663, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.6135, predictive_accuracy: 0.6281, prior_entropy: 0.8937, recall: 0.6281, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.318, scimark_benchmark: 1744.8652, usercpu_time_millis: 9718.75, usercpu_time_millis_testing: 9640.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7989, kappa: 0.5185, kb_relative_information_score: 3299.7558, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8004, predictive_accuracy: 0.8063, prior_entropy: 0.8937, recall: 0.8063, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7925, scimark_benchmark: 1744.8652, usercpu_time_millis: 6640.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 6625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.7904, kappa: 0.5025, kb_relative_information_score: 2667.3754, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7891, predictive_accuracy: 0.7946, prior_entropy: 0.8937, recall: 0.7946, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8618, scimark_benchmark: 1744.8652, usercpu_time_millis: 3187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7733, kappa: 0.4588, kb_relative_information_score: 2899.5852, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7724, predictive_accuracy: 0.7802, prior_entropy: 0.8937, recall: 0.7802, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8579, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8002, kappa: 0.5197, kb_relative_information_score: 2758.1012, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8047, predictive_accuracy: 0.8096, prior_entropy: 0.8937, recall: 0.8096, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7848, scimark_benchmark: 1744.8652, usercpu_time_millis: 5328.125, usercpu_time_millis_testing: 531.25, usercpu_time_millis_training: 4796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.8023, kappa: 0.5366, kb_relative_information_score: 3162.7736, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8017, predictive_accuracy: 0.8031, prior_entropy: 0.8937, recall: 0.8031, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8156, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.7608, kappa: 0.4394, kb_relative_information_score: 3135.773, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7601, predictive_accuracy: 0.7616, prior_entropy: 0.8937, recall: 0.7616, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4682, root_relative_squared_error: 1.012, scimark_benchmark: 1744.8652, usercpu_time_millis: 671.875, usercpu_time_millis_training: 671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8138, kappa: 0.5557, kb_relative_information_score: 3560.2652, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8145, predictive_accuracy: 0.8193, prior_entropy: 0.8937, recall: 0.8193, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7606, scimark_benchmark: 1327.5254, usercpu_time_millis: 375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.7853, kappa: 0.4896, kb_relative_information_score: 2570.3958, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7839, predictive_accuracy: 0.79, prior_entropy: 0.8937, recall: 0.79, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8679, scimark_benchmark: 1834.908, usercpu_time_millis: 1296.875, usercpu_time_millis_training: 1296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7989, kappa: 0.5185, kb_relative_information_score: 3299.7558, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8004, predictive_accuracy: 0.8063, prior_entropy: 0.8937, recall: 0.8063, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7925, scimark_benchmark: 1788.6668, usercpu_time_millis: 9500, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 9468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.8144, kappa: 0.566, kb_relative_information_score: 3221.8518, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8142, predictive_accuracy: 0.8146, prior_entropy: 0.8937, recall: 0.8146, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.8074, scimark_benchmark: 1788.6668, usercpu_time_millis: 4031.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 4015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7923, kappa: 0.503, kb_relative_information_score: 3264.2195, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7932, predictive_accuracy: 0.7997, prior_entropy: 0.8937, recall: 0.7997, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7948, scimark_benchmark: 1788.6668, usercpu_time_millis: 1406.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7922, kappa: 0.5078, kb_relative_information_score: 2654.8982, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7908, predictive_accuracy: 0.7958, prior_entropy: 0.8937, recall: 0.7958, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8561, scimark_benchmark: 1788.6668, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8054, kappa: 0.5343, kb_relative_information_score: 3408.5482, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8069, predictive_accuracy: 0.8123, prior_entropy: 0.8937, recall: 0.8123, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7991, scimark_benchmark: 1788.6668, usercpu_time_millis: 1906.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8094, kappa: 0.5448, kb_relative_information_score: 3475.9652, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8102, predictive_accuracy: 0.8153, prior_entropy: 0.8937, recall: 0.8153, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7657, scimark_benchmark: 1788.6668, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.8078, kappa: 0.5397, kb_relative_information_score: 4419.3312, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8099, predictive_accuracy: 0.8149, prior_entropy: 0.8937, recall: 0.8149, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9298, scimark_benchmark: 1788.6668, usercpu_time_millis: 625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.81, kappa: 0.545, kb_relative_information_score: 4461.6314, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8122, predictive_accuracy: 0.817, prior_entropy: 0.8937, recall: 0.817, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9246, scimark_benchmark: 1322.091, usercpu_time_millis: 10040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7659, kappa: 0.4326, kb_relative_information_score: 3043.889, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7823, predictive_accuracy: 0.7853, prior_entropy: 0.8937, recall: 0.7853, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.8212, scimark_benchmark: 1447.2612, usercpu_time_millis: 5843.75, usercpu_time_millis_testing: 5734.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7209, kappa: 0.3229, kb_relative_information_score: 2816.167, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7439, predictive_accuracy: 0.7518, prior_entropy: 0.8937, recall: 0.7518, relative_absolute_error: 0.6127, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9539, scimark_benchmark: 1840.6094, usercpu_time_millis: 4453.125, usercpu_time_millis_testing: 4312.5, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.6084, kappa: 0.0613, kb_relative_information_score: 464.7057, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.6209, predictive_accuracy: 0.6807, prior_entropy: 0.8937, recall: 0.6807, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.1396, scimark_benchmark: 1840.6094, usercpu_time_millis: 16156.25, usercpu_time_millis_testing: 16156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, f_measure: 0.6104, kappa: 0.0796, kb_relative_information_score: 739.6058, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.6707, predictive_accuracy: 0.6985, prior_entropy: 0.8937, recall: 0.6985, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9832, scimark_benchmark: 1873.1108, usercpu_time_millis: 24437.5, usercpu_time_millis_testing: 24437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.7728, kappa: 0.4546, kb_relative_information_score: 3018.4437, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7741, predictive_accuracy: 0.7825, prior_entropy: 0.8937, recall: 0.7825, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8538, scimark_benchmark: 1873.1108, usercpu_time_millis: 4328.125, usercpu_time_millis_testing: 4234.375, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.642, kappa: 0.1319, kb_relative_information_score: 675.9817, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.645, predictive_accuracy: 0.6853, prior_entropy: 0.8937, recall: 0.6853, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0203, scimark_benchmark: 1873.1108, usercpu_time_millis: 23203.125, usercpu_time_millis_testing: 23203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.8058, kappa: 0.5376, kb_relative_information_score: 4332.2426, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8054, predictive_accuracy: 0.8107, prior_entropy: 0.8937, recall: 0.8107, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.809, kappa: 0.544, kb_relative_information_score: 4419.3312, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8098, predictive_accuracy: 0.8149, prior_entropy: 0.8937, recall: 0.8149, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9298, scimark_benchmark: 1779.392, usercpu_time_millis: 468.003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 452.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.8136, kappa: 0.5587, kb_relative_information_score: 4454.1666, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8126, predictive_accuracy: 0.8167, prior_entropy: 0.8937, recall: 0.8167, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9255, scimark_benchmark: 1779.392, usercpu_time_millis: 592.8038, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 577.2037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7825, kappa: 0.4819, kb_relative_information_score: 3027.8891, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7815, predictive_accuracy: 0.7882, prior_entropy: 0.8937, recall: 0.7882, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.8443, scimark_benchmark: 1779.392, usercpu_time_millis: 171.6011, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 156.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8189, kappa: 0.5732, kb_relative_information_score: 4538.767, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8179, predictive_accuracy: 0.8208, prior_entropy: 0.8937, recall: 0.8208, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7727, kappa: 0.4571, kb_relative_information_score: 2895.8484, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7718, predictive_accuracy: 0.7797, prior_entropy: 0.8937, recall: 0.7797, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8569, scimark_benchmark: 1779.392, usercpu_time_millis: 202.8013, usercpu_time_millis_training: 202.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8045, kappa: 0.5372, kb_relative_information_score: 3300.7017, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8034, predictive_accuracy: 0.8077, prior_entropy: 0.8937, recall: 0.8077, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7912, scimark_benchmark: 1732.2066, usercpu_time_millis: 187.2012, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 171.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.8023, kappa: 0.5366, kb_relative_information_score: 3162.7736, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8017, predictive_accuracy: 0.8031, prior_entropy: 0.8937, recall: 0.8031, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8156, scimark_benchmark: 1732.2066, usercpu_time_millis: 140.4009, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 124.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8047, kappa: 0.5381, kb_relative_information_score: 4270.0365, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8035, predictive_accuracy: 0.8076, prior_entropy: 0.8937, recall: 0.8076, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.788, kappa: 0.4967, kb_relative_information_score: 2998.1875, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7867, predictive_accuracy: 0.7925, prior_entropy: 0.8937, recall: 0.7925, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.8446, scimark_benchmark: 1838.8826, usercpu_time_millis: 202.8013, usercpu_time_millis_training: 202.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7579, kappa: 0.4335, kb_relative_information_score: 3074.2751, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7575, predictive_accuracy: 0.7583, prior_entropy: 0.8937, recall: 0.7583, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0185, scimark_benchmark: 1838.8826, usercpu_time_millis: 468.003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 452.4029,

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