OpenML
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 - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9337, kappa: 0.8995, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9339, predictive_accuracy: 0.9337, prior_entropy: 1.7146, recall: 0.9337, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, kappa: 0.2932, kb_relative_information_score: 0.3301, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5691, prior_entropy: 1.7146, recall: 0.5691, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7656, kappa: 0.6486, kb_relative_information_score: 0.6458, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8109, predictive_accuracy: 0.7775, prior_entropy: 1.7146, recall: 0.7775, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9337, kappa: 0.8995, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9339, predictive_accuracy: 0.9337, prior_entropy: 1.7146, recall: 0.9337, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9337, kappa: 0.8995, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9339, predictive_accuracy: 0.9337, prior_entropy: 1.7146, recall: 0.9337, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, f_measure: 0.3333, kappa: 0.0105, kb_relative_information_score: 0.0689, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3648, predictive_accuracy: 0.3396, prior_entropy: 1.7146, recall: 0.3396, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8897, kappa: 0.8329, kb_relative_information_score: 0.843, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8901, predictive_accuracy: 0.89, prior_entropy: 1.7146, recall: 0.89, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7456, kappa: 0.6169, kb_relative_information_score: 0.6341, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7603, predictive_accuracy: 0.7533, prior_entropy: 1.7146, recall: 0.7533, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.8631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.4406, kappa: 0.1512, kb_relative_information_score: 0.2164, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4352, predictive_accuracy: 0.4529, prior_entropy: 1.7146, recall: 0.4529, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.523, root_relative_squared_error: 1.2852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7656, kappa: 0.6486, kb_relative_information_score: 0.6458, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8109, predictive_accuracy: 0.7775, prior_entropy: 1.7146, recall: 0.7775, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, kappa: 0.308, kb_relative_information_score: 0.3416, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.579, prior_entropy: 1.7146, recall: 0.579, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.1274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.829, kappa: 0.7421, kb_relative_information_score: 0.752, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8347, predictive_accuracy: 0.8327, prior_entropy: 1.7146, recall: 0.8327, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.7108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9331, kappa: 0.8988, kb_relative_information_score: 0.9054, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9333, predictive_accuracy: 0.9331, prior_entropy: 1.7146, recall: 0.9331, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.4494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.5022, kappa: 0.2446, kb_relative_information_score: 0.2963, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4994, predictive_accuracy: 0.5064, prior_entropy: 1.7146, recall: 0.5064, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.2208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6267, kappa: 0.437, kb_relative_information_score: 0.4732, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6475, predictive_accuracy: 0.6409, prior_entropy: 1.7146, recall: 0.6409, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4237, root_relative_squared_error: 1.0412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, f_measure: 0.3333, kappa: 0.0105, kb_relative_information_score: 0.0689, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3648, predictive_accuracy: 0.3396, prior_entropy: 1.7146, recall: 0.3396, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9227, kappa: 0.8831, kb_relative_information_score: 0.8897, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9229, predictive_accuracy: 0.9228, prior_entropy: 1.7146, recall: 0.9228, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8798, kappa: 0.8179, kb_relative_information_score: 0.8271, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8807, predictive_accuracy: 0.8805, prior_entropy: 1.7146, recall: 0.8805, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9337, kappa: 0.8995, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9339, predictive_accuracy: 0.9337, prior_entropy: 1.7146, recall: 0.9337, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8834, kappa: 0.8235, kb_relative_information_score: 0.8311, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8845, predictive_accuracy: 0.8843, prior_entropy: 1.7146, recall: 0.8843, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.5345, kappa: 0.3349, kb_relative_information_score: 0.3746, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6763, predictive_accuracy: 0.5898, prior_entropy: 1.7146, recall: 0.5898, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7013, kappa: 0.5447, kb_relative_information_score: 0.5592, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8017, predictive_accuracy: 0.7113, prior_entropy: 1.7146, recall: 0.7113, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7013, kappa: 0.5447, kb_relative_information_score: 0.5592, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8017, predictive_accuracy: 0.7113, prior_entropy: 1.7146, recall: 0.7113, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, kappa: 0.3036, kb_relative_information_score: 0.3418, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.574, prior_entropy: 1.7146, recall: 0.574, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4615, root_relative_squared_error: 1.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.918, kappa: 0.8759, kb_relative_information_score: 0.8832, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9181, predictive_accuracy: 0.9181, prior_entropy: 1.7146, recall: 0.9181, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, kappa: 0.1124, kb_relative_information_score: 0.1983, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4597, prior_entropy: 1.7146, recall: 0.4597, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5198, root_relative_squared_error: 1.2773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8834, kappa: 0.8235, kb_relative_information_score: 0.8311, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8845, predictive_accuracy: 0.8843, prior_entropy: 1.7146, recall: 0.8843, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.735, kappa: 0.6021, kb_relative_information_score: 0.6222, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7517, predictive_accuracy: 0.7441, prior_entropy: 1.7146, recall: 0.7441, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9296, kappa: 0.8935, kb_relative_information_score: 0.9007, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9298, predictive_accuracy: 0.9296, prior_entropy: 1.7146, recall: 0.9296, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7779, kappa: 0.6672, kb_relative_information_score: 0.6832, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7882, predictive_accuracy: 0.7848, prior_entropy: 1.7146, recall: 0.7848, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.328, root_relative_squared_error: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.6865, kappa: 0.5296, kb_relative_information_score: 0.5542, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7112, predictive_accuracy: 0.6994, prior_entropy: 1.7146, recall: 0.6994, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7392, kappa: 0.6048, kb_relative_information_score: 0.6266, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.749, predictive_accuracy: 0.7438, prior_entropy: 1.7146, recall: 0.7438, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7914, kappa: 0.6795, kb_relative_information_score: 0.6878, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8303, predictive_accuracy: 0.7938, prior_entropy: 1.7146, recall: 0.7938, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.6751, kappa: 0.5127, kb_relative_information_score: 0.5368, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7021, predictive_accuracy: 0.6891, prior_entropy: 1.7146, recall: 0.6891, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.6976, kappa: 0.5398, kb_relative_information_score: 0.5702, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7062, predictive_accuracy: 0.7022, prior_entropy: 1.7146, recall: 0.7022, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.3437, kappa: 0.0226, kb_relative_information_score: 0.0816, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3732, predictive_accuracy: 0.3492, prior_entropy: 1.7146, recall: 0.3492, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7094, kappa: 0.5565, kb_relative_information_score: 0.5697, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8045, predictive_accuracy: 0.7185, prior_entropy: 1.7146, recall: 0.7185, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9155, kappa: 0.8721, kb_relative_information_score: 0.8779, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9158, predictive_accuracy: 0.9157, prior_entropy: 1.7146, recall: 0.9157, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6848, kappa: 0.5232, kb_relative_information_score: 0.5497, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7034, predictive_accuracy: 0.6945, prior_entropy: 1.7146, recall: 0.6945, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8688, kappa: 0.8011, kb_relative_information_score: 0.8216, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8709, predictive_accuracy: 0.8684, prior_entropy: 1.7146, recall: 0.8684, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9331, kappa: 0.8988, kb_relative_information_score: 0.9054, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9333, predictive_accuracy: 0.9331, prior_entropy: 1.7146, recall: 0.9331, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.4494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6848, kappa: 0.5232, kb_relative_information_score: 0.5497, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7034, predictive_accuracy: 0.6945, prior_entropy: 1.7146, recall: 0.6945, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.9078, kappa: 0.8606, kb_relative_information_score: 0.8696, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 1.7146, recall: 0.908, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.5271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.4683, kappa: 0.1959, kb_relative_information_score: 0.2424, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4667, predictive_accuracy: 0.4703, prior_entropy: 1.7146, recall: 0.4703, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.2646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.6865, kappa: 0.5296, kb_relative_information_score: 0.5542, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7112, predictive_accuracy: 0.6994, prior_entropy: 1.7146, recall: 0.6994, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7013, kappa: 0.5447, kb_relative_information_score: 0.5592, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8017, predictive_accuracy: 0.7113, prior_entropy: 1.7146, recall: 0.7113, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7013, kappa: 0.5447, kb_relative_information_score: 0.5592, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8017, predictive_accuracy: 0.7113, prior_entropy: 1.7146, recall: 0.7113, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, kappa: 0.2853, kb_relative_information_score: 0.3244, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5643, prior_entropy: 1.7146, recall: 0.5643, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.1469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8526, kappa: 0.7776, kb_relative_information_score: 0.7879, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8549, predictive_accuracy: 0.8547, prior_entropy: 1.7146, recall: 0.8547, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9296, kappa: 0.8935, kb_relative_information_score: 0.9007, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9298, predictive_accuracy: 0.9296, prior_entropy: 1.7146, recall: 0.9296, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6848, kappa: 0.5232, kb_relative_information_score: 0.5497, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7034, predictive_accuracy: 0.6945, prior_entropy: 1.7146, recall: 0.6945, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6748, kappa: 0.5123, kb_relative_information_score: 0.5364, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7014, predictive_accuracy: 0.6888, prior_entropy: 1.7146, recall: 0.6888, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6848, kappa: 0.5232, kb_relative_information_score: 0.5497, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7034, predictive_accuracy: 0.6945, prior_entropy: 1.7146, recall: 0.6945, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, kappa: 0.2853, kb_relative_information_score: 0.3244, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5643, prior_entropy: 1.7146, recall: 0.5643, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.1469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8262, kappa: 0.7379, kb_relative_information_score: 0.7458, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8333, predictive_accuracy: 0.8303, prior_entropy: 1.7146, recall: 0.8303, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.7158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, kappa: 0.2932, kb_relative_information_score: 0.3301, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5691, prior_entropy: 1.7146, recall: 0.5691, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.6797, kappa: 0.5211, kb_relative_information_score: 0.5431, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7147, predictive_accuracy: 0.6956, prior_entropy: 1.7146, recall: 0.6956, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7456, kappa: 0.6169, kb_relative_information_score: 0.6341, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7603, predictive_accuracy: 0.7533, prior_entropy: 1.7146, recall: 0.7533, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.8631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8295, kappa: 0.7423, kb_relative_information_score: 0.7552, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8336, predictive_accuracy: 0.8321, prior_entropy: 1.7146, recall: 0.8321, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, kappa: 0.2811, kb_relative_information_score: 0.3214, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.562, prior_entropy: 1.7146, recall: 0.562, relative_absolute_error: 0.6612, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.468, root_relative_squared_error: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.906, kappa: 0.8578, kb_relative_information_score: 0.8674, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9062, predictive_accuracy: 0.9062, prior_entropy: 1.7146, recall: 0.9062, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.5323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.6751, kappa: 0.5127, kb_relative_information_score: 0.5368, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7021, predictive_accuracy: 0.6891, prior_entropy: 1.7146, recall: 0.6891, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7852, kappa: 0.6751, kb_relative_information_score: 0.6919, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7901, predictive_accuracy: 0.7883, prior_entropy: 1.7146, recall: 0.7883, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, kappa: 0.2175, kb_relative_information_score: 0.2781, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5271, prior_entropy: 1.7146, recall: 0.5271, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4862, root_relative_squared_error: 1.1949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, kappa: 0.1073, kb_relative_information_score: 0.2032, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4666, prior_entropy: 1.7146, recall: 0.4666, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6912, kappa: 0.5383, kb_relative_information_score: 0.5622, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7196, predictive_accuracy: 0.7053, prior_entropy: 1.7146, recall: 0.7053, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.6865, kappa: 0.5296, kb_relative_information_score: 0.5542, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7112, predictive_accuracy: 0.6994, prior_entropy: 1.7146, recall: 0.6994, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, kappa: 0.2968, kb_relative_information_score: 0.3332, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5718, prior_entropy: 1.7146, recall: 0.5718, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4627, root_relative_squared_error: 1.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7996, kappa: 0.6967, kb_relative_information_score: 0.7108, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.805, predictive_accuracy: 0.8024, prior_entropy: 1.7146, recall: 0.8024, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8648, kappa: 0.7959, kb_relative_information_score: 0.8045, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8666, predictive_accuracy: 0.8666, prior_entropy: 1.7146, recall: 0.8666, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.6347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.3437, kappa: 0.0226, kb_relative_information_score: 0.0816, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3732, predictive_accuracy: 0.3492, prior_entropy: 1.7146, recall: 0.3492, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8897, kappa: 0.8329, kb_relative_information_score: 0.843, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8901, predictive_accuracy: 0.89, prior_entropy: 1.7146, recall: 0.89, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8798, kappa: 0.8179, kb_relative_information_score: 0.8271, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8807, predictive_accuracy: 0.8805, prior_entropy: 1.7146, recall: 0.8805, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, kappa: 0.2912, kb_relative_information_score: 0.3286, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5678, prior_entropy: 1.7146, recall: 0.5678, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.1423,

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