Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 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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20384 Runs

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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.9699, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.628, kappa: 0.4995, kb_relative_information_score: 2136.8275, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6158, predictive_accuracy: 0.6989, prior_entropy: 1.7151, recall: 0.6989, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.9699, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.628, kappa: 0.4995, kb_relative_information_score: 2136.8275, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6158, predictive_accuracy: 0.6989, prior_entropy: 1.7151, recall: 0.6989, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.9699, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.9699, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.9699, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.6287, kappa: 0.5008, kb_relative_information_score: 2141.6431, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.616, predictive_accuracy: 0.6996, prior_entropy: 1.7151, recall: 0.6996, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.628, kappa: 0.4995, kb_relative_information_score: 2136.8275, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6158, predictive_accuracy: 0.6989, prior_entropy: 1.7151, recall: 0.6989, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.6287, kappa: 0.5008, kb_relative_information_score: 2141.6431, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.616, predictive_accuracy: 0.6996, prior_entropy: 1.7151, recall: 0.6996, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.9699, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.6287, kappa: 0.5008, kb_relative_information_score: 2141.6431, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.616, predictive_accuracy: 0.6996, prior_entropy: 1.7151, recall: 0.6996, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.9699, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.9699, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.9699, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.6587, kappa: 0.4874, kb_relative_information_score: 2332.6905, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6666, predictive_accuracy: 0.6631, prior_entropy: 1.7151, recall: 0.6631, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.6191, kappa: 0.447, kb_relative_information_score: 2061.5081, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6489, predictive_accuracy: 0.6237, prior_entropy: 1.7151, recall: 0.6237, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.3858, kappa: 0.07, kb_relative_information_score: 341.4708, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3592, predictive_accuracy: 0.4335, prior_entropy: 1.7151, recall: 0.4335, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.4692, kappa: 0.2217, kb_relative_information_score: 798.901, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.435, predictive_accuracy: 0.5225, prior_entropy: 1.7151, recall: 0.5225, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 534.7585, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5410.9239, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5274.5947, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 212.0753, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 1.0885, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.0233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5312.6189, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.1299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5352.9433, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5336.5131, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5339.0705, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5350.2764, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.8875, kappa: 0.8345, kb_relative_information_score: 4554.8116, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9052, predictive_accuracy: 0.8895, prior_entropy: 1.7151, recall: 0.8895, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5408.7872, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0395, root_relative_squared_error: 0.0971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5333.9568, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5349.2112, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0282, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5372.2463, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5416.272, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5351.7841, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5373.2071, mean_absolute_error: 0.0069, 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: 0.0208, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.1132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 395.5221, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.0572, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5346.9349, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0299, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 534.7357, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5355.8768, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5388.5286, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.048, root_relative_squared_error: 0.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5172.6777, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9922, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 533.9699, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 1.0311, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5362.4851, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 534.1025, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5198.5098, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0727, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 282.3604, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9983, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.0777, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5388.898, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9973, kappa: 0.9958, kb_relative_information_score: 5431.6181, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0351, root_relative_squared_error: 0.0862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5312.1981, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9929, kappa: 0.9892, kb_relative_information_score: 5376.4025, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7151, recall: 0.9929, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9899, kappa: 0.9848, kb_relative_information_score: 4914.8061, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 1.7151, recall: 0.9899, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 281.1822, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9983, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.0779, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 534.3866, mean_absolute_error: 0.3415, 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: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9939, kappa: 0.9909, kb_relative_information_score: 5273.307, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 1.7151, recall: 0.994, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.1462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 413.6107, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7151, recall: 0.9976, relative_absolute_error: 1.053, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5340.307, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5352.8033, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5285.7586, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9154, kappa: 0.872, kb_relative_information_score: 3357.7788, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9242, predictive_accuracy: 0.9137, prior_entropy: 1.7151, recall: 0.9137, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.6259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.7697, kappa: 0.6735, kb_relative_information_score: 52.5852, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8048, predictive_accuracy: 0.796, prior_entropy: 1.7151, recall: 0.796, relative_absolute_error: 1.1134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.654, kappa: 0.5246, kb_relative_information_score: 2690.4399, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7389, predictive_accuracy: 0.7022, prior_entropy: 1.7151, recall: 0.7022, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5369.5197, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0414, root_relative_squared_error: 0.1018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.9892, kb_relative_information_score: 5372.7155, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7151, recall: 0.9929, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 293.5939, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 1.0754, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 237.0024, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7151, recall: 0.9976, relative_absolute_error: 1.0844, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4148, root_relative_squared_error: 1.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5316.4391, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5339.2887, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0308, 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: 0.9996, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5368.1825, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 1.7151, recall: 0.9936, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 5371.3929, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.1059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8259, kappa: 0.7435, kb_relative_information_score: 47.427, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8586, predictive_accuracy: 0.8305, prior_entropy: 1.7151, recall: 0.8305, relative_absolute_error: 1.1151, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4266, root_relative_squared_error: 1.0482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 473.6365, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 1.0417, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9922, kb_relative_information_score: 5293.6881, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 282.1202, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9983, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.0777, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 488.8622, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 1.0381, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5371.4714, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 5438.287, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0289, root_relative_squared_error: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5399.3072, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.0986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5322.8767, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5354.5087, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.7151, recall: 0.9925, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5379.9488, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 5430.5472, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7151, recall: 0.9976, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.0853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9457, kappa: 0.9173, kb_relative_information_score: 4190.9432, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9508, predictive_accuracy: 0.9457, prior_entropy: 1.7151, recall: 0.9457, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.175, root_relative_squared_error: 0.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9939, kappa: 0.9909, kb_relative_information_score: 533.8956, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9939, predictive_accuracy: 0.994, prior_entropy: 1.7151, recall: 0.994, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 5432.4904, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5417.317, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.1092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9974, kappa: 0.9961, kb_relative_information_score: 5429.8421, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 1.7151, recall: 0.9974, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0342, root_relative_squared_error: 0.0841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5408.997, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5365.662, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1032,

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