Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 14823 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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14823 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5408.4587, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 11.6677, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0991, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 35.9013, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0769, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.416, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, kappa: 0.3846, kb_relative_information_score: 44.6296, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6296, prior_entropy: 1.7151, recall: 0.6296, relative_absolute_error: 1.0918, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9053, kappa: 0.86, kb_relative_information_score: 2454.82, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9182, predictive_accuracy: 0.91, prior_entropy: 1.7151, recall: 0.91, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.284, root_relative_squared_error: 0.6979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 36.4779, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0766, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 14.7943, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 13.4441, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0989, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8703, kappa: 0.8045, kb_relative_information_score: 3884.5081, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8722, predictive_accuracy: 0.8699, prior_entropy: 1.7151, recall: 0.8699, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, kappa: 0.5109, kb_relative_information_score: 65.1944, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7056, prior_entropy: 1.7151, recall: 0.7056, relative_absolute_error: 1.0899, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.0279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9054, kappa: 0.8572, kb_relative_information_score: 4213.456, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9063, predictive_accuracy: 0.9058, prior_entropy: 1.7151, recall: 0.9058, relative_absolute_error: 0.3053, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, kb_relative_information_score: 21.682, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0975, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 22.8412, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.012, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, kappa: 0.5696, kb_relative_information_score: 318.0451, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7399, prior_entropy: 1.7151, recall: 0.7399, relative_absolute_error: 1.0385, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 82.8268, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, kappa: 0.6083, kb_relative_information_score: 637.1424, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7615, prior_entropy: 1.7151, recall: 0.7615, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, kb_relative_information_score: 14.2063, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0989, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, kappa: 0.3299, kb_relative_information_score: 23.1521, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5975, prior_entropy: 1.7151, recall: 0.5975, relative_absolute_error: 1.0952, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, kappa: 0.4831, kb_relative_information_score: 205.4855, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6879, prior_entropy: 1.7151, recall: 0.6879, relative_absolute_error: 1.0564, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9343, kappa: 0.9008, kb_relative_information_score: 4342.07, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9359, predictive_accuracy: 0.9348, prior_entropy: 1.7151, recall: 0.9348, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, kappa: 0.7671, kb_relative_information_score: 1966.3115, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.8526, prior_entropy: 1.7151, recall: 0.8526, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.7655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, kappa: 0.4958, kb_relative_information_score: 2063.651, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6946, prior_entropy: 1.7151, recall: 0.6946, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.323, root_relative_squared_error: 0.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 56.3667, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0381, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4094, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8078, kappa: 0.7336, kb_relative_information_score: 2965.0086, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8166, predictive_accuracy: 0.8286, prior_entropy: 1.7151, recall: 0.8286, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, kappa: 0.5233, kb_relative_information_score: 2071.768, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.71, prior_entropy: 1.7151, recall: 0.71, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.7847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 26.744, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0846, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4178, root_relative_squared_error: 1.0268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, kb_relative_information_score: 25.8897, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.097, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.421, root_relative_squared_error: 1.0346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 20.5041, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.094, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.7309, kappa: 0.6022, kb_relative_information_score: 2668.7898, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7557, predictive_accuracy: 0.748, prior_entropy: 1.7151, recall: 0.748, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.7503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 23.9779, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0885, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4188, root_relative_squared_error: 1.0292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 40.8736, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0251, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.408, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9285, kappa: 0.892, kb_relative_information_score: 4360.0012, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9287, predictive_accuracy: 0.9287, prior_entropy: 1.7151, recall: 0.9287, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 42.0306, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0712, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, kappa: 0.4989, kb_relative_information_score: 699.7127, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6974, prior_entropy: 1.7151, recall: 0.6974, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kappa: -0.0009, kb_relative_information_score: 19.9141, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3957, prior_entropy: 1.7151, recall: 0.3957, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kappa: -0.0001, kb_relative_information_score: 32.5797, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4001, prior_entropy: 1.7151, recall: 0.4001, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 86.9666, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0467, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4108, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 13.7331, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0979, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 10.2114, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 36.7264, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0762, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4158, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 17.5866, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0956, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.0341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 63.0667, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0348, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4089, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 12.6447, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, kappa: 0.568, kb_relative_information_score: 64.65, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7397, prior_entropy: 1.7151, recall: 0.7397, relative_absolute_error: 1.0907, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9815, kappa: 0.972, kb_relative_information_score: 4910.7446, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 1.7151, recall: 0.9815, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.2617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, kappa: 0.4104, kb_relative_information_score: 98.9488, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6441, prior_entropy: 1.7151, recall: 0.6441, relative_absolute_error: 1.073, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4135, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, kappa: 0.4875, kb_relative_information_score: 1156.615, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.691, prior_entropy: 1.7151, recall: 0.691, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 13.604, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.804, kappa: 0.7057, kb_relative_information_score: 3201.7904, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8066, predictive_accuracy: 0.8065, prior_entropy: 1.7151, recall: 0.8065, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.3621, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0942, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, kappa: 0.2283, kb_relative_information_score: 46.1016, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5376, prior_entropy: 1.7151, recall: 0.5376, relative_absolute_error: 1.0871, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4179, root_relative_squared_error: 1.0268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 37.3828, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 19.1493, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, kappa: 0.5004, kb_relative_information_score: 120.7423, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6994, prior_entropy: 1.7151, recall: 0.6994, relative_absolute_error: 1.077, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4137, root_relative_squared_error: 1.0165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 14.2246, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0991, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.0365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 17.7195, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, kappa: 0.5458, kb_relative_information_score: 146.0219, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7264, prior_entropy: 1.7151, recall: 0.7264, relative_absolute_error: 1.0747, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 14.8825, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3843, prior_entropy: 1.7151, recall: 0.3843, relative_absolute_error: 1.0992, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, kappa: 0.3855, kb_relative_information_score: 49.5764, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6279, prior_entropy: 1.7151, recall: 0.6279, relative_absolute_error: 1.0891, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4185, root_relative_squared_error: 1.0284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.274, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 10.5406, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3843, prior_entropy: 1.7151, recall: 0.3843, relative_absolute_error: 1.0992, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.0367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 13.6906, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.099, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.0365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9544, kappa: 0.9309, kb_relative_information_score: 3883.731, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9561, predictive_accuracy: 0.9545, prior_entropy: 1.7151, recall: 0.9545, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9604, kappa: 0.9401, kb_relative_information_score: 4358.0227, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9615, predictive_accuracy: 0.9606, prior_entropy: 1.7151, recall: 0.9606, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 20.8641, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, kappa: 0.475, kb_relative_information_score: 280.4099, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6824, prior_entropy: 1.7151, recall: 0.6824, relative_absolute_error: 1.0137, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8027, kappa: 0.724, kb_relative_information_score: 2876.216, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8184, predictive_accuracy: 0.8239, prior_entropy: 1.7151, recall: 0.8239, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.6688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 14.0099, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0975, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.0354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9796, kappa: 0.9692, kb_relative_information_score: 4866.2519, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9798, predictive_accuracy: 0.9797, prior_entropy: 1.7151, recall: 0.9797, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, kappa: 0.0671, kb_relative_information_score: 48.8291, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4432, prior_entropy: 1.7151, recall: 0.4432, relative_absolute_error: 1.0884, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.0279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.4753, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.1041, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4235, root_relative_squared_error: 1.0407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 13.4048, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0978, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.0356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 156.2468, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3843, prior_entropy: 1.7151, recall: 0.3843, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4136, root_relative_squared_error: 1.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 12.9357, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0978, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.0356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 27.0058, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0862, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 61.2017, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3843, prior_entropy: 1.7151, recall: 0.3843, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4074, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 14.0532, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0963, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.421, root_relative_squared_error: 1.0346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, kappa: 0.4786, kb_relative_information_score: 1270.9043, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6846, prior_entropy: 1.7151, recall: 0.6846, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, kappa: 0.6035, kb_relative_information_score: 122.5673, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7608, prior_entropy: 1.7151, recall: 0.7608, relative_absolute_error: 1.0625, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4099, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 19.1947, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3843, prior_entropy: 1.7151, recall: 0.3843, relative_absolute_error: 1.0931, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4201, root_relative_squared_error: 1.0324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0009, kb_relative_information_score: 24.1351, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3957, prior_entropy: 1.7151, recall: 0.3957, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4076, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, kappa: 0.5765, kb_relative_information_score: 418.0761, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7443, prior_entropy: 1.7151, recall: 0.7443, relative_absolute_error: 1.0219, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, kappa: 0.6423, kb_relative_information_score: 285.1908, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7841, prior_entropy: 1.7151, recall: 0.7841, relative_absolute_error: 1.0552, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.405, root_relative_squared_error: 0.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9765, kappa: 0.9645, kb_relative_information_score: 4830.8551, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 1.7151, recall: 0.9765, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.2909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 49.2866, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0176, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4075, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 16.2343, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0979, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, kappa: 0.633, kb_relative_information_score: 289.3325, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7786, prior_entropy: 1.7151, recall: 0.7786, relative_absolute_error: 1.0514, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 55.3527, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4098, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 36.3345, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4073, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 50.2631, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0418, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4097, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 49.3958, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0273, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4081, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 17.0851, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0951, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4207, root_relative_squared_error: 1.0337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, kb_relative_information_score: 21.3204, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.0352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 36.13, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3843, prior_entropy: 1.7151, recall: 0.3843, relative_absolute_error: 1.0736, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.0205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, kb_relative_information_score: 27.8389, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0966, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4209, root_relative_squared_error: 1.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 12.6986, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0981, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 14.8569, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, kappa: 0.4684, kb_relative_information_score: 78.7948, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6793, prior_entropy: 1.7151, recall: 0.6793, relative_absolute_error: 1.0841, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4166, root_relative_squared_error: 1.0238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 13.0622, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0982, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.0359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 14.5532, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.407, root_relative_squared_error: 1.0001,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs