0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.7348, kappa: 0.0506, kb_relative_information_score: -4501.8167, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7789, predictive_accuracy: 0.8097, prior_entropy: 0.7088, recall: 0.8097, relative_absolute_error: 1.1549, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.999, scimark_benchmark: 1674.9818, usercpu_time_millis: 660, usercpu_time_millis_training: 660,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9588, kappa: 0.8475, kb_relative_information_score: 6595.6091, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9586, predictive_accuracy: 0.9589, prior_entropy: 0.6393, recall: 0.9589, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.18, root_relative_squared_error: 0.4884, scimark_benchmark: 1674.9818, usercpu_time_millis: 640, usercpu_time_millis_training: 640,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.8216, kappa: 0.5594, kb_relative_information_score: 2983.2883, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.3997, number_of_instances: 10000, precision: 0.8246, predictive_accuracy: 0.8195, prior_entropy: 0.85, recall: 0.8195, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.447, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7875, scimark_benchmark: 1674.9818, usercpu_time_millis: 610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 600,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.8495, kappa: 0.006, kb_relative_information_score: -1401.5383, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8265, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 1.1497, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3045, root_relative_squared_error: 1.0044, scimark_benchmark: 1695.8489, usercpu_time_millis: 130, usercpu_time_millis_training: 130,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9813, kappa: 0.8379, kb_relative_information_score: 1983.2874, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9814, predictive_accuracy: 0.9812, prior_entropy: 0.3333, recall: 0.9812, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.4935, scimark_benchmark: 1695.8489, usercpu_time_millis: 110, usercpu_time_millis_training: 110,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9918, kappa: 0.9297, kb_relative_information_score: 11480.0278, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.3556, scimark_benchmark: 1695.8489, usercpu_time_millis: 16120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 16100,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9381, kappa: 0.8756, kb_relative_information_score: 4718.8214, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9384, predictive_accuracy: 0.9381, prior_entropy: 0.9973, recall: 0.9381, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5092, scimark_benchmark: 1674.9818, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8446, kappa: 0.689, kb_relative_information_score: 1495.3382, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8446, predictive_accuracy: 0.8446, prior_entropy: 0.9998, recall: 0.8446, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7177, scimark_benchmark: 1674.9818, usercpu_time_millis: 24470, usercpu_time_millis_training: 24470,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.8151, kappa: 0.1996, kb_relative_information_score: -945.9488, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8181, predictive_accuracy: 0.8511, prior_entropy: 0.622, recall: 0.8511, relative_absolute_error: 1.0824, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.9662, scimark_benchmark: 1674.9818, usercpu_time_millis: 100, usercpu_time_millis_training: 100,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.8451, kappa: 0.0054, kb_relative_information_score: -4783.0168, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8397, predictive_accuracy: 0.8941, prior_entropy: 0.4871, recall: 0.8941, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.9507, scimark_benchmark: 1337.8348, usercpu_time_millis: 690, usercpu_time_millis_training: 690,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7614, kappa: 0.5188, kb_relative_information_score: 875.8105, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7615, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.428, root_relative_squared_error: 0.859, scimark_benchmark: 1678.2337, usercpu_time_millis: 58010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 58000,

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Associated dataset does not have quality (default evaluation engine): NumberOfInstances

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.9494, kappa: 0.0572, kb_relative_information_score: -25507.2218, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9465, predictive_accuracy: 0.9643, prior_entropy: 0.221, recall: 0.9643, relative_absolute_error: 2.0617, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2051, root_relative_squared_error: 1.1124, scimark_benchmark: 1317.3998, usercpu_time_millis: 83340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 83320,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8824, kappa: 0.4322, kb_relative_information_score: 14.8434, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8792, predictive_accuracy: 0.8868, prior_entropy: 0.5368, recall: 0.8868, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.8202, scimark_benchmark: 1695.8489, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9918, kappa: 0.9299, kb_relative_information_score: 11453.5176, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.992, predictive_accuracy: 0.9917, prior_entropy: 0.3338, recall: 0.9917, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.087, root_relative_squared_error: 0.3622, scimark_benchmark: 1648.7758, usercpu_time_millis: 6320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6310,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8273, kappa: 0.6404, kb_relative_information_score: 7834.6948, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8274, predictive_accuracy: 0.8282, prior_entropy: 0.9745, recall: 0.8282, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7468, scimark_benchmark: 1674.9818, usercpu_time_millis: 860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 850,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8959, kappa: 0.735, kb_relative_information_score: 5108.4504, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8959, predictive_accuracy: 0.8958, prior_entropy: 0.8395, recall: 0.8958, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.6372, scimark_benchmark: 1674.9818, usercpu_time_millis: 800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 790,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.835, kappa: 0.5864, kb_relative_information_score: 6155.2588, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.3968, number_of_instances: 20000, precision: 0.836, predictive_accuracy: 0.8341, prior_entropy: 0.8456, recall: 0.8341, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4454, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.778, scimark_benchmark: 1337.8348, usercpu_time_millis: 1810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1800,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 593.981, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3813, scimark_benchmark: 1317.3998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8624, kappa: 0.7215, kb_relative_information_score: 364.8282, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8625, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6659, scimark_benchmark: 1317.3998, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.6824, kappa: 0.2173, kb_relative_information_score: 35.4569, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6773, predictive_accuracy: 0.701, prior_entropy: 0.8818, recall: 0.701, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.9447, scimark_benchmark: 1317.3998, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.838, kappa: 0.5518, kb_relative_information_score: 1014.1207, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8376, predictive_accuracy: 0.8446, prior_entropy: 0.8085, recall: 0.8446, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7984, scimark_benchmark: 1317.3998, usercpu_time_millis: 1000, usercpu_time_millis_training: 1000,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8339, kappa: 0.6678, kb_relative_information_score: 1470.4207, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8341, predictive_accuracy: 0.8339, prior_entropy: 0.9998, recall: 0.8339, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7232, scimark_benchmark: 1337.8348, usercpu_time_millis: 20580, usercpu_time_millis_training: 20580,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9783, kappa: 0.9538, kb_relative_information_score: 6044.3105, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.466, number_of_instances: 7019, precision: 0.9794, predictive_accuracy: 0.9782, prior_entropy: 0.9504, recall: 0.9782, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3265, scimark_benchmark: 1674.9818, usercpu_time_millis: 760, usercpu_time_millis_training: 760,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.911, kappa: 0.094, kb_relative_information_score: -13340.4659, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9073, predictive_accuracy: 0.9348, prior_entropy: 0.3444, recall: 0.9348, relative_absolute_error: 1.1787, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.9721, scimark_benchmark: 1674.9818, usercpu_time_millis: 730, usercpu_time_millis_training: 730,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9415, kappa: 0.865, kb_relative_information_score: 10154.0837, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9467, predictive_accuracy: 0.9429, prior_entropy: 0.9135, recall: 0.9429, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.5247, scimark_benchmark: 1674.9818, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.9911, kappa: 0.2331, kb_relative_information_score: -83831.7873, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9909, predictive_accuracy: 0.9931, prior_entropy: 0.0622, recall: 0.9931, relative_absolute_error: 1.8044, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0874, root_relative_squared_error: 1.0344, scimark_benchmark: 1337.8348, usercpu_time_millis: 840, usercpu_time_millis_training: 840,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.9228, kappa: 0.317, kb_relative_information_score: -1382.6978, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9204, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.9741, scimark_benchmark: 1695.8489, usercpu_time_millis: 60, usercpu_time_millis_training: 60,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, kb_relative_information_score: -97750.9603, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.0084, number_of_instances: 5589, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 2.4119, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0748, root_relative_squared_error: 1.1685, scimark_benchmark: 1695.8489, usercpu_time_millis: 510, usercpu_time_millis_training: 510,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.6349, kappa: 0.1548, kb_relative_information_score: -15.1625, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6384, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9883, scimark_benchmark: 1695.8489, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8348, kappa: 0.671, kb_relative_information_score: 41238.049, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8411, predictive_accuracy: 0.8355, prior_entropy: 1, recall: 0.8355, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7273, scimark_benchmark: 1648.7758, usercpu_time_millis: 464350, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 464210,

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7397, kappa: 0.4168, kb_relative_information_score: 166.3541, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8793, scimark_benchmark: 1522.6557, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9206, kappa: 0.8333, kb_relative_information_score: 2995.8082, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9207, predictive_accuracy: 0.9209, prior_entropy: 0.9674, recall: 0.9209, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5396, scimark_benchmark: 1657.4317, usercpu_time_millis: 1090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1080,

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, average_cost: 0.0785, f_measure: 0.8323, kappa: 0.5175, kb_relative_information_score: 9962.5451, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8347, predictive_accuracy: 0.8431, prior_entropy: 0.7939, recall: 0.8431, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.801, scimark_benchmark: 1678.8569, total_cost: 3832.5, usercpu_time_millis: 1810, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1750,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.959, kappa: 0.9179, kb_relative_information_score: 2579.5251, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9592, predictive_accuracy: 0.959, prior_entropy: 0.9986, recall: 0.959, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3797, scimark_benchmark: 1600.1928, usercpu_time_millis: 70, usercpu_time_millis_training: 70,

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 601.2791, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3642, scimark_benchmark: 1566.8402, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 7860.6559, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.105, scimark_benchmark: 1576.5958, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8432, kappa: 0.6821, kb_relative_information_score: 363.5595, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8433, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6668, scimark_benchmark: 1435.4043, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7045, kappa: 0.2839, kb_relative_information_score: 42.7558, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7005, predictive_accuracy: 0.711, prior_entropy: 0.8818, recall: 0.711, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9374, scimark_benchmark: 1408.673, usercpu_time_millis: 60, usercpu_time_millis_training: 60,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.6908, kappa: 0.3625, kb_relative_information_score: 100.6803, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6933, predictive_accuracy: 0.6963, prior_entropy: 0.9826, recall: 0.6963, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9064, scimark_benchmark: 1688.2875, usercpu_time_millis: 60, usercpu_time_millis_training: 60,

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7833, kappa: 0.5541, kb_relative_information_score: 12719.0345, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7861, predictive_accuracy: 0.786, prior_entropy: 0.9835, recall: 0.786, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8175, scimark_benchmark: 1643.0632, usercpu_time_millis: 2280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2250,

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7788, kappa: 0.5177, kb_relative_information_score: 324.1163, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7828, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7809, scimark_benchmark: 1605.7942, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8323, kappa: 0.5175, kb_relative_information_score: 9962.5451, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8347, predictive_accuracy: 0.8431, prior_entropy: 0.7939, recall: 0.8431, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.801, scimark_benchmark: 1496.6518, usercpu_time_millis: 1690, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1650,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.752, kappa: 0.4511, kb_relative_information_score: 298.7106, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7514, predictive_accuracy: 0.7526, prior_entropy: 0.9312, recall: 0.7526, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.797, scimark_benchmark: 1934.2411, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9578, kappa: 0.9155, kb_relative_information_score: 2574.2523, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9582, predictive_accuracy: 0.9578, prior_entropy: 0.9986, recall: 0.9578, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3812, scimark_benchmark: 1317.3998, usercpu_time_millis: 60, usercpu_time_millis_training: 60,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9214, kappa: 0.835, kb_relative_information_score: 3014.6644, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9214, predictive_accuracy: 0.9215, prior_entropy: 0.9674, recall: 0.9215, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5342, scimark_benchmark: 1317.3998, usercpu_time_millis: 1270, usercpu_time_millis_training: 1270,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8327, kappa: 0.5212, kb_relative_information_score: 9921.2008, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8331, predictive_accuracy: 0.8417, prior_entropy: 0.7939, recall: 0.8417, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.342, root_relative_squared_error: 0.8017, scimark_benchmark: 1317.3998, usercpu_time_millis: 2740, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2690,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 7859.7509, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0526, root_relative_squared_error: 0.1052, scimark_benchmark: 1317.3998, usercpu_time_millis: 90, usercpu_time_millis_training: 90,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.7575, kappa: 0.4559, kb_relative_information_score: 174.5392, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8621, scimark_benchmark: 1317.3998, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6282, kappa: 0.1705, kb_relative_information_score: 23.3005, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6856, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9424, scimark_benchmark: 1317.3998,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8384, kappa: 0.5542, kb_relative_information_score: 975.5566, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8374, predictive_accuracy: 0.8441, prior_entropy: 0.8085, recall: 0.8441, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.8037, scimark_benchmark: 1678.2337, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8476, kappa: 0.6912, kb_relative_information_score: 371.5639, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6545,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9806, kappa: 0.8328, kb_relative_information_score: 1993.4232, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9804, prior_entropy: 0.3333, recall: 0.9804, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4916,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8237, kappa: 0.6475, kb_relative_information_score: 337.5327, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8243, predictive_accuracy: 0.8237, prior_entropy: 1, recall: 0.8237, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6082,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9856, kappa: 0.9504, kb_relative_information_score: 1841.2111, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9861, predictive_accuracy: 0.9859, prior_entropy: 0.6786, recall: 0.9859, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3659,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6396, kappa: 0.1898, kb_relative_information_score: 18.6767, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6809, predictive_accuracy: 0.6922, prior_entropy: 0.9279, recall: 0.6922, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9459,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 487.6536, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.2659,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.996, kb_relative_information_score: 488.5483, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.0945,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.6282, kappa: 0.1391, kb_relative_information_score: -8.9707, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.629, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9832,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9911, kappa: 0.9235, kb_relative_information_score: 11493.0975, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.087, root_relative_squared_error: 0.3619,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8398, kappa: 0.558, kb_relative_information_score: 1003.47, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8388, predictive_accuracy: 0.8455, prior_entropy: 0.8085, recall: 0.8455, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7994,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9399, kappa: 0.8614, kb_relative_information_score: 10135.9542, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9454, predictive_accuracy: 0.9415, prior_entropy: 0.9135, recall: 0.9415, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.5257,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8388, kappa: 0.6777, kb_relative_information_score: 1488.5209, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8391, predictive_accuracy: 0.8388, prior_entropy: 0.9998, recall: 0.8388, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7192,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8908, kappa: 0.4775, kb_relative_information_score: 53.7341, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.8117,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -1437.0287, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.1648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0034,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.8147, kappa: 0.4003, kb_relative_information_score: 34.195, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8116, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.8964,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.7327, kappa: 0.0433, kb_relative_information_score: -4489.0136, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7721, predictive_accuracy: 0.8088, prior_entropy: 0.7088, recall: 0.8088, relative_absolute_error: 1.1549, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9995,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.8182, kappa: 0.2212, kb_relative_information_score: -944.5721, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8158, predictive_accuracy: 0.8487, prior_entropy: 0.622, recall: 0.8487, relative_absolute_error: 1.0862, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.966,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.9145, kappa: 0.2351, kb_relative_information_score: -1371.1311, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9098, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 1.1489, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.9789,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.9435, kappa: 0.5405, kb_relative_information_score: -89154.8012, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9448, predictive_accuracy: 0.9502, prior_entropy: 0.3794, recall: 0.9502, relative_absolute_error: 1.3027, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.9261,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9057, kappa: 0.614, kb_relative_information_score: 2261.6813, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9083, predictive_accuracy: 0.9132, prior_entropy: 0.6204, recall: 0.9132, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.6776,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.819, kappa: 0.5944, kb_relative_information_score: 5875.5171, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8322, predictive_accuracy: 0.8276, prior_entropy: 0.9355, recall: 0.8276, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7863,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.8917, kappa: 0.006, kb_relative_information_score: -151360.9437, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8941, predictive_accuracy: 0.9265, prior_entropy: 0.3787, recall: 0.9265, relative_absolute_error: 1.7658, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2867, root_relative_squared_error: 1.0989,