Task
Supervised Classification on har

Supervised Classification on har

Task 14970 Supervised Classification har 11596 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_99
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11596 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9292, kappa: 0.9148, kb_relative_information_score: 9462.9993, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9292, predictive_accuracy: 0.9292, prior_entropy: 2.5759, recall: 0.9292, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9393, kappa: 0.927, kb_relative_information_score: 9613.3177, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 2.5759, recall: 0.9393, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9462, kappa: 0.9353, kb_relative_information_score: 9708.1563, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9462, predictive_accuracy: 0.9462, prior_entropy: 2.5759, recall: 0.9462, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9308, kappa: 0.9168, kb_relative_information_score: 9488.7692, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9308, predictive_accuracy: 0.9309, prior_entropy: 2.5759, recall: 0.9309, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9471, kappa: 0.9363, kb_relative_information_score: 9704.0815, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 2.5759, recall: 0.9471, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9446, kappa: 0.9333, kb_relative_information_score: 9673.676, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9446, predictive_accuracy: 0.9446, prior_entropy: 2.5759, recall: 0.9446, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9477, kappa: 0.937, kb_relative_information_score: 9701.3464, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 2.5759, recall: 0.9477, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.3514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9312, kappa: 0.9173, kb_relative_information_score: 9509.9361, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9312, predictive_accuracy: 0.9313, prior_entropy: 2.5759, recall: 0.9313, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.3678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9297, kappa: 0.9154, kb_relative_information_score: 9459.847, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 2.5759, recall: 0.9297, relative_absolute_error: 0.1051, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9408, kappa: 0.9288, kb_relative_information_score: 9634.8207, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9408, predictive_accuracy: 0.9408, prior_entropy: 2.5759, recall: 0.9408, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9469, kappa: 0.9361, kb_relative_information_score: 9714.9116, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9469, predictive_accuracy: 0.9469, prior_entropy: 2.5759, recall: 0.9469, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9291, kappa: 0.9147, kb_relative_information_score: 9458.9963, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9291, predictive_accuracy: 0.9291, prior_entropy: 2.5759, recall: 0.9291, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.136, root_relative_squared_error: 0.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9418, kappa: 0.93, kb_relative_information_score: 9649.0953, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9419, predictive_accuracy: 0.9418, prior_entropy: 2.5759, recall: 0.9418, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.3374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9322, kappa: 0.9184, kb_relative_information_score: 9548.7233, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 2.5759, recall: 0.9321, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.13, root_relative_squared_error: 0.3493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9409, kappa: 0.9289, kb_relative_information_score: 9633.728, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9409, predictive_accuracy: 0.9409, prior_entropy: 2.5759, recall: 0.9409, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.3341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9313, kappa: 0.9173, kb_relative_information_score: 9540.5577, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9313, predictive_accuracy: 0.9313, prior_entropy: 2.5759, recall: 0.9313, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9424, kappa: 0.9307, kb_relative_information_score: 9669.088, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9424, predictive_accuracy: 0.9424, prior_entropy: 2.5759, recall: 0.9424, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9478, kappa: 0.9372, kb_relative_information_score: 9712.7283, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 2.5759, recall: 0.9478, relative_absolute_error: 0.065, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.3374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9447, kappa: 0.9335, kb_relative_information_score: 9683.2944, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9447, predictive_accuracy: 0.9448, prior_entropy: 2.5759, recall: 0.9448, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.3377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9452, kappa: 0.934, kb_relative_information_score: 9681.312, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9452, predictive_accuracy: 0.9451, prior_entropy: 2.5759, recall: 0.9451, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9342, kappa: 0.9208, kb_relative_information_score: 9540.7889, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9342, predictive_accuracy: 0.9342, prior_entropy: 2.5759, recall: 0.9342, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.3664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9341, kappa: 0.9207, kb_relative_information_score: 9540.3925, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9342, predictive_accuracy: 0.9341, prior_entropy: 2.5759, recall: 0.9341, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9324, kappa: 0.9187, kb_relative_information_score: 9539.4389, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9325, predictive_accuracy: 0.9324, prior_entropy: 2.5759, recall: 0.9324, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.141, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9317, kappa: 0.9178, kb_relative_information_score: 9550.8807, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9317, predictive_accuracy: 0.9316, prior_entropy: 2.5759, recall: 0.9316, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.3483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9349, kappa: 0.9216, kb_relative_information_score: 9549.6969, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9349, predictive_accuracy: 0.9348, prior_entropy: 2.5759, recall: 0.9348, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9339, kappa: 0.9205, kb_relative_information_score: 9548.9132, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9339, predictive_accuracy: 0.9339, prior_entropy: 2.5759, recall: 0.9339, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9412, kappa: 0.9292, kb_relative_information_score: 9636.8615, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9412, predictive_accuracy: 0.9412, prior_entropy: 2.5759, recall: 0.9412, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9334, kappa: 0.9199, kb_relative_information_score: 9522.7794, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9334, predictive_accuracy: 0.9334, prior_entropy: 2.5759, recall: 0.9334, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9337, kappa: 0.9202, kb_relative_information_score: 9529.2659, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9337, predictive_accuracy: 0.9337, prior_entropy: 2.5759, recall: 0.9337, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.3639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9281, kappa: 0.9136, kb_relative_information_score: 9445.8527, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9281, predictive_accuracy: 0.9281, prior_entropy: 2.5759, recall: 0.9281, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.137, root_relative_squared_error: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9365, kappa: 0.9236, kb_relative_information_score: 9583.0342, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9366, predictive_accuracy: 0.9365, prior_entropy: 2.5759, recall: 0.9365, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.3457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9419, kappa: 0.9302, kb_relative_information_score: 9667.2866, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.942, predictive_accuracy: 0.9419, prior_entropy: 2.5759, recall: 0.9419, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.934, kappa: 0.9206, kb_relative_information_score: 9532.7068, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9341, predictive_accuracy: 0.934, prior_entropy: 2.5759, recall: 0.934, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9326, kappa: 0.9189, kb_relative_information_score: 9534.5559, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 2.5759, recall: 0.9326, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9409, kappa: 0.9289, kb_relative_information_score: 9636.6875, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9409, predictive_accuracy: 0.9409, prior_entropy: 2.5759, recall: 0.9409, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9321, kappa: 0.9184, kb_relative_information_score: 9502.8598, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9321, predictive_accuracy: 0.9321, prior_entropy: 2.5759, recall: 0.9321, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9339, kappa: 0.9205, kb_relative_information_score: 9534.8385, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.934, predictive_accuracy: 0.9339, prior_entropy: 2.5759, recall: 0.9339, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9322, kappa: 0.9185, kb_relative_information_score: 9502.3621, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9322, predictive_accuracy: 0.9322, prior_entropy: 2.5759, recall: 0.9322, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.3605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9346, kappa: 0.9214, kb_relative_information_score: 9553.9468, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9346, predictive_accuracy: 0.9347, prior_entropy: 2.5759, recall: 0.9347, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.3714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9405, kappa: 0.9284, kb_relative_information_score: 9638.304, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 2.5759, recall: 0.9405, relative_absolute_error: 0.0792, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9327, kappa: 0.9191, kb_relative_information_score: 9552.2998, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9327, predictive_accuracy: 0.9327, prior_entropy: 2.5759, recall: 0.9327, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9319, kappa: 0.9181, kb_relative_information_score: 9506.1535, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9319, predictive_accuracy: 0.9319, prior_entropy: 2.5759, recall: 0.9319, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.3619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9431, kappa: 0.9316, kb_relative_information_score: 9676.8163, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9431, predictive_accuracy: 0.9431, prior_entropy: 2.5759, recall: 0.9431, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9354, kappa: 0.9223, kb_relative_information_score: 9550.721, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9355, predictive_accuracy: 0.9354, prior_entropy: 2.5759, recall: 0.9354, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9309, kappa: 0.9168, kb_relative_information_score: 9485.4336, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9309, predictive_accuracy: 0.9309, prior_entropy: 2.5759, recall: 0.9309, relative_absolute_error: 0.1006, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.3625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9338, kappa: 0.9203, kb_relative_information_score: 9554.0894, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9338, predictive_accuracy: 0.9338, prior_entropy: 2.5759, recall: 0.9338, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9424, kappa: 0.9307, kb_relative_information_score: 9653.7274, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9425, predictive_accuracy: 0.9424, prior_entropy: 2.5759, recall: 0.9424, relative_absolute_error: 0.0769, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.3366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9428, kappa: 0.9312, kb_relative_information_score: 9673.2142, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9428, predictive_accuracy: 0.9428, prior_entropy: 2.5759, recall: 0.9428, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.3356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9421, kappa: 0.9304, kb_relative_information_score: 9654.5477, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9422, predictive_accuracy: 0.9421, prior_entropy: 2.5759, recall: 0.9421, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9456, kappa: 0.9346, kb_relative_information_score: 9691.6441, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9456, predictive_accuracy: 0.9456, prior_entropy: 2.5759, recall: 0.9456, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9453, kappa: 0.9342, kb_relative_information_score: 9699.0942, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 2.5759, recall: 0.9453, relative_absolute_error: 0.0682, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.3369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9334, kappa: 0.9199, kb_relative_information_score: 9573.1677, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9336, predictive_accuracy: 0.9334, prior_entropy: 2.5759, recall: 0.9334, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9311, kappa: 0.9172, kb_relative_information_score: 9484.3722, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9311, predictive_accuracy: 0.9312, prior_entropy: 2.5759, recall: 0.9312, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9327, kappa: 0.9191, kb_relative_information_score: 9553.8622, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9327, predictive_accuracy: 0.9327, prior_entropy: 2.5759, recall: 0.9327, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.141, root_relative_squared_error: 0.3787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.946, kappa: 0.9351, kb_relative_information_score: 9697.5558, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.946, predictive_accuracy: 0.946, prior_entropy: 2.5759, recall: 0.946, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.3325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9478, kappa: 0.9372, kb_relative_information_score: 9721.868, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 2.5759, recall: 0.9478, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.3408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.947, kappa: 0.9362, kb_relative_information_score: 9713.8618, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 2.5759, recall: 0.947, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9483, kappa: 0.9379, kb_relative_information_score: 9716.4891, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9483, predictive_accuracy: 0.9483, prior_entropy: 2.5759, recall: 0.9483, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.3441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9312, kappa: 0.9172, kb_relative_information_score: 9542.9997, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9312, predictive_accuracy: 0.9312, prior_entropy: 2.5759, recall: 0.9312, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9442, kappa: 0.9328, kb_relative_information_score: 9687.2456, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9442, predictive_accuracy: 0.9442, prior_entropy: 2.5759, recall: 0.9442, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.3374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9319, kappa: 0.9181, kb_relative_information_score: 9487.7146, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9319, predictive_accuracy: 0.9319, prior_entropy: 2.5759, recall: 0.9319, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9481, kappa: 0.9375, kb_relative_information_score: 9704.0417, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9481, predictive_accuracy: 0.9481, prior_entropy: 2.5759, recall: 0.9481, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.3535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9288, kappa: 0.9144, kb_relative_information_score: 9456.1075, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9288, predictive_accuracy: 0.9288, prior_entropy: 2.5759, recall: 0.9288, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.3643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9285, kappa: 0.914, kb_relative_information_score: 9460.705, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9285, predictive_accuracy: 0.9285, prior_entropy: 2.5759, recall: 0.9285, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9335, kappa: 0.92, kb_relative_information_score: 9525.9357, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9336, predictive_accuracy: 0.9335, prior_entropy: 2.5759, recall: 0.9335, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9275, kappa: 0.9129, kb_relative_information_score: 9454.1611, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9275, predictive_accuracy: 0.9276, prior_entropy: 2.5759, recall: 0.9276, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9318, kappa: 0.9179, kb_relative_information_score: 9552.1038, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9318, predictive_accuracy: 0.9317, prior_entropy: 2.5759, recall: 0.9317, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9331, kappa: 0.9195, kb_relative_information_score: 9516.0811, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9331, predictive_accuracy: 0.9331, prior_entropy: 2.5759, recall: 0.9331, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9323, kappa: 0.9186, kb_relative_information_score: 9549.4966, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9324, predictive_accuracy: 0.9323, prior_entropy: 2.5759, recall: 0.9323, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.3496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9348, kappa: 0.9215, kb_relative_information_score: 9572.0845, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9349, predictive_accuracy: 0.9348, prior_entropy: 2.5759, recall: 0.9348, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9279, kappa: 0.9133, kb_relative_information_score: 9448.8512, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9279, predictive_accuracy: 0.928, prior_entropy: 2.5759, recall: 0.928, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9319, kappa: 0.9181, kb_relative_information_score: 9513.0807, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9319, predictive_accuracy: 0.9319, prior_entropy: 2.5759, recall: 0.9319, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9454, kappa: 0.9344, kb_relative_information_score: 9688.7911, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9454, predictive_accuracy: 0.9454, prior_entropy: 2.5759, recall: 0.9454, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9353, kappa: 0.9221, kb_relative_information_score: 9545.9535, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9354, predictive_accuracy: 0.9352, prior_entropy: 2.5759, recall: 0.9352, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9314, kappa: 0.9174, kb_relative_information_score: 9549.7335, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9314, predictive_accuracy: 0.9314, prior_entropy: 2.5759, recall: 0.9314, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9372, kappa: 0.9244, kb_relative_information_score: 9590.206, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9372, predictive_accuracy: 0.9372, prior_entropy: 2.5759, recall: 0.9372, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9309, kappa: 0.9168, kb_relative_information_score: 9485.4746, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9309, predictive_accuracy: 0.9309, prior_entropy: 2.5759, recall: 0.9309, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9312, kappa: 0.9172, kb_relative_information_score: 9521.2444, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9312, predictive_accuracy: 0.9312, prior_entropy: 2.5759, recall: 0.9312, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9285, kappa: 0.914, kb_relative_information_score: 9459.6017, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9285, predictive_accuracy: 0.9285, prior_entropy: 2.5759, recall: 0.9285, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.136, root_relative_squared_error: 0.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9306, kappa: 0.9165, kb_relative_information_score: 9486.1992, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9306, predictive_accuracy: 0.9306, prior_entropy: 2.5759, recall: 0.9306, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9396, kappa: 0.9273, kb_relative_information_score: 9606.1078, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 2.5759, recall: 0.9396, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.127, root_relative_squared_error: 0.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9418, kappa: 0.93, kb_relative_information_score: 9655.3797, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9418, predictive_accuracy: 0.9418, prior_entropy: 2.5759, recall: 0.9418, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9333, kappa: 0.9198, kb_relative_information_score: 9530.1222, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 2.5759, recall: 0.9333, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9318, kappa: 0.918, kb_relative_information_score: 9532.5061, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9319, predictive_accuracy: 0.9318, prior_entropy: 2.5759, recall: 0.9318, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9425, kappa: 0.9309, kb_relative_information_score: 9667.7027, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 2.5759, recall: 0.9425, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.126, root_relative_squared_error: 0.3384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.935, kappa: 0.9217, kb_relative_information_score: 9564.587, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.935, predictive_accuracy: 0.9349, prior_entropy: 2.5759, recall: 0.9349, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.139, root_relative_squared_error: 0.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9408, kappa: 0.9288, kb_relative_information_score: 9635.0432, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9409, predictive_accuracy: 0.9408, prior_entropy: 2.5759, recall: 0.9408, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9479, kappa: 0.9374, kb_relative_information_score: 9720.1439, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 2.5759, recall: 0.948, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9269, kappa: 0.912, kb_relative_information_score: 9439.639, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9269, predictive_accuracy: 0.9269, prior_entropy: 2.5759, recall: 0.9269, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9426, kappa: 0.931, kb_relative_information_score: 9655.9623, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 2.5759, recall: 0.9426, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.3349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.944, kappa: 0.9327, kb_relative_information_score: 9670.4335, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9441, predictive_accuracy: 0.9441, prior_entropy: 2.5759, recall: 0.9441, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.3406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9398, kappa: 0.9276, kb_relative_information_score: 9612.8338, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9398, predictive_accuracy: 0.9398, prior_entropy: 2.5759, recall: 0.9398, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9403, kappa: 0.9282, kb_relative_information_score: 9618.98, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9403, predictive_accuracy: 0.9403, prior_entropy: 2.5759, recall: 0.9403, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.3367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.933, kappa: 0.9194, kb_relative_information_score: 9545.8699, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 2.5759, recall: 0.933, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9406, kappa: 0.9285, kb_relative_information_score: 9632.5497, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 2.5759, recall: 0.9406, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.942, kappa: 0.9302, kb_relative_information_score: 9641.4178, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.942, predictive_accuracy: 0.9419, prior_entropy: 2.5759, recall: 0.9419, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.3345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.941, kappa: 0.929, kb_relative_information_score: 9652.1529, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.941, predictive_accuracy: 0.941, prior_entropy: 2.5759, recall: 0.941, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9348, kappa: 0.9215, kb_relative_information_score: 9578.9924, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9348, predictive_accuracy: 0.9348, prior_entropy: 2.5759, recall: 0.9348, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.3441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9308, kappa: 0.9167, kb_relative_information_score: 9504.1311, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9307, predictive_accuracy: 0.9308, prior_entropy: 2.5759, recall: 0.9308, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9451, kappa: 0.934, kb_relative_information_score: 9689.9609, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9451, predictive_accuracy: 0.9451, prior_entropy: 2.5759, recall: 0.9451, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.336,

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

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

OpenML APIs