Task
Supervised Classification on amazon-commerce-reviews

Supervised Classification on amazon-commerce-reviews

Task 10090 Supervised Classification amazon-commerce-reviews 144 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.6066, kappa: 0.5966, kb_relative_information_score: 905.0079, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.6393, predictive_accuracy: 0.6047, prior_entropy: 5.6439, recall: 0.6047, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.5787, kappa: 0.5701, kb_relative_information_score: 864.7362, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.6181, predictive_accuracy: 0.5787, prior_entropy: 5.6439, recall: 0.5787, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.005, kappa: 0.019, kb_relative_information_score: 155.0126, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.003, predictive_accuracy: 0.0387, prior_entropy: 5.6439, recall: 0.0387, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.6066, kappa: 0.5966, kb_relative_information_score: 905.0079, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.6393, predictive_accuracy: 0.6047, prior_entropy: 5.6439, recall: 0.6047, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, f_measure: 0.0495, kappa: 0.0782, kb_relative_information_score: 138.0024, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0413, predictive_accuracy: 0.0967, prior_entropy: 5.6439, recall: 0.0967, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1901, root_relative_squared_error: 1.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.005, kappa: 0.019, kb_relative_information_score: 155.0126, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.003, predictive_accuracy: 0.0387, prior_entropy: 5.6439, recall: 0.0387, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, f_measure: 0.0495, kappa: 0.0782, kb_relative_information_score: 138.0024, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0413, predictive_accuracy: 0.0967, prior_entropy: 5.6439, recall: 0.0967, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1901, root_relative_squared_error: 1.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.5787, kappa: 0.5701, kb_relative_information_score: 864.7362, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.6181, predictive_accuracy: 0.5787, prior_entropy: 5.6439, recall: 0.5787, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.1269, kappa: 0.1721, kb_relative_information_score: 490.2844, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.1128, predictive_accuracy: 0.1887, prior_entropy: 5.6439, recall: 0.1887, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.135, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.4479, kappa: 0.4537, kb_relative_information_score: 707.2305, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4566, predictive_accuracy: 0.4647, prior_entropy: 5.6439, recall: 0.4647, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.5537, kappa: 0.5524, kb_relative_information_score: 830.8528, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5521, predictive_accuracy: 0.5613, prior_entropy: 5.6439, recall: 0.5613, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.8027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.6114, kappa: 0.6, kb_relative_information_score: 1008.7347, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.6595, predictive_accuracy: 0.608, prior_entropy: 5.6439, recall: 0.608, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.0832, kappa: 0.0497, kb_relative_information_score: 73, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.3604, predictive_accuracy: 0.0687, prior_entropy: 5.6439, recall: 0.0687, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.5712, kappa: 0.5742, kb_relative_information_score: 342.0366, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.6242, predictive_accuracy: 0.5827, prior_entropy: 5.6439, recall: 0.5827, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.1838, kappa: 0.1497, kb_relative_information_score: 300.155, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4989, predictive_accuracy: 0.1667, prior_entropy: 5.6439, recall: 0.1667, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1595, root_relative_squared_error: 1.1395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, f_measure: 0.0277, kappa: 0.017, kb_relative_information_score: 47.5376, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0262, predictive_accuracy: 0.0367, prior_entropy: 5.6439, recall: 0.0367, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1963, root_relative_squared_error: 1.4021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5374, f_measure: 0.0926, kappa: 0.0748, kb_relative_information_score: 132.9766, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0936, predictive_accuracy: 0.0933, prior_entropy: 5.6439, recall: 0.0933, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1904, root_relative_squared_error: 1.3603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.4554, kappa: 0.4442, kb_relative_information_score: 782.8606, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4615, predictive_accuracy: 0.4553, prior_entropy: 5.6439, recall: 0.4553, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.8864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.2687, kappa: 0.266, kb_relative_information_score: 532.2496, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.2747, predictive_accuracy: 0.2807, prior_entropy: 5.6439, recall: 0.2807, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.9673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.4993, kappa: 0.4898, kb_relative_information_score: 769.2111, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5185, predictive_accuracy: 0.5, prior_entropy: 5.6439, recall: 0.5, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.2026, kappa: 0.1694, kb_relative_information_score: 270.381, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4868, predictive_accuracy: 0.186, prior_entropy: 5.6439, recall: 0.186, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1773, root_relative_squared_error: 1.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.4373, kappa: 0.4252, kb_relative_information_score: 685.5474, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4454, predictive_accuracy: 0.4367, prior_entropy: 5.6439, recall: 0.4367, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.122, kappa: 0.1082, kb_relative_information_score: 309.522, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.1353, predictive_accuracy: 0.126, prior_entropy: 5.6439, recall: 0.126, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1403, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5374, f_measure: 0.0922, kappa: 0.0748, kb_relative_information_score: 132.9766, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0926, predictive_accuracy: 0.0933, prior_entropy: 5.6439, recall: 0.0933, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1904, root_relative_squared_error: 1.3603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5348, kappa: 0.5218, kb_relative_information_score: 793.3695, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5905, predictive_accuracy: 0.5313, prior_entropy: 5.6439, recall: 0.5313, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.4975, kappa: 0.4905, kb_relative_information_score: 802.833, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5004, predictive_accuracy: 0.5007, prior_entropy: 5.6439, recall: 0.5007, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5847, f_measure: 0.2026, kappa: 0.1694, kb_relative_information_score: 272.6944, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4868, predictive_accuracy: 0.186, prior_entropy: 5.6439, recall: 0.186, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1804, root_relative_squared_error: 1.2889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.5353, kappa: 0.5306, kb_relative_information_score: 900.0913, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5552, predictive_accuracy: 0.54, prior_entropy: 5.6439, recall: 0.54, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.12, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0008, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0004, predictive_accuracy: 0.02, prior_entropy: 5.6439, recall: 0.02, relative_absolute_error: 1, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.14, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.5678, kappa: 0.5313, kb_relative_information_score: 2.9617, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.7141, predictive_accuracy: 0.5407, prior_entropy: 5.6439, recall: 0.5407, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.14, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.0069, kappa: 0.017, kb_relative_information_score: 157.1229, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0043, predictive_accuracy: 0.0367, prior_entropy: 5.6439, recall: 0.0367, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0008, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0004, predictive_accuracy: 0.02, prior_entropy: 5.6439, recall: 0.02, relative_absolute_error: 1, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.14, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.4578, kappa: 0.4483, kb_relative_information_score: 684.8118, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5373, predictive_accuracy: 0.4593, prior_entropy: 5.6439, recall: 0.4593, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1471, root_relative_squared_error: 1.0504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.2869, kappa: 0.2816, kb_relative_information_score: 562.9388, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.2921, predictive_accuracy: 0.296, prior_entropy: 5.6439, recall: 0.296, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.135, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.2415, kappa: 0.2333, kb_relative_information_score: 299.735, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.253, predictive_accuracy: 0.2487, prior_entropy: 5.6439, recall: 0.2487, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.4524, kappa: 0.4449, kb_relative_information_score: 732.9717, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4545, predictive_accuracy: 0.456, prior_entropy: 5.6439, recall: 0.456, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.131, root_relative_squared_error: 0.9357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.4678, kappa: 0.4571, kb_relative_information_score: 794.3535, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4748, predictive_accuracy: 0.468, prior_entropy: 5.6439, recall: 0.468, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.5744, kappa: 0.5497, kb_relative_information_score: 3.211, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.7285, predictive_accuracy: 0.5587, prior_entropy: 5.6439, recall: 0.5587, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.14, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.0199, kappa: 0.049, kb_relative_information_score: 150.7622, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0203, predictive_accuracy: 0.068, prior_entropy: 5.6439, recall: 0.068, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.0789, kappa: 0.1333, kb_relative_information_score: 432.3285, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0662, predictive_accuracy: 0.1507, prior_entropy: 5.6439, recall: 0.1507, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.0691, kappa: 0.0973, kb_relative_information_score: 190.203, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.1388, predictive_accuracy: 0.1153, prior_entropy: 5.6439, recall: 0.1153, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.4338, kappa: 0.4252, kb_relative_information_score: 781.0303, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4467, predictive_accuracy: 0.4367, prior_entropy: 5.6439, recall: 0.4367, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.5623, kappa: 0.5497, kb_relative_information_score: 244.0661, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5966, predictive_accuracy: 0.5587, prior_entropy: 5.6439, recall: 0.5587, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.3696, kappa: 0.381, kb_relative_information_score: 742.8239, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.3617, predictive_accuracy: 0.3933, prior_entropy: 5.6439, recall: 0.3933, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.122, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.0457, kappa: 0.034, kb_relative_information_score: 197.2089, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0536, predictive_accuracy: 0.0533, prior_entropy: 5.6439, recall: 0.0533, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1469, root_relative_squared_error: 1.0491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.4502, kappa: 0.4401, kb_relative_information_score: 797.5247, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4586, predictive_accuracy: 0.4513, prior_entropy: 5.6439, recall: 0.4513, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.2767, kappa: 0.3286, kb_relative_information_score: 646.2144, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.2561, predictive_accuracy: 0.342, prior_entropy: 5.6439, recall: 0.342, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.1729, kappa: 0.2197, kb_relative_information_score: 547.5164, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.1523, predictive_accuracy: 0.2353, prior_entropy: 5.6439, recall: 0.2353, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.0471, kappa: 0.1116, kb_relative_information_score: 377.0022, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0359, predictive_accuracy: 0.1293, prior_entropy: 5.6439, recall: 0.1293, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.4587, kappa: 0.4503, kb_relative_information_score: 700.3696, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4637, predictive_accuracy: 0.4613, prior_entropy: 5.6439, recall: 0.4613, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.139, root_relative_squared_error: 0.9928, scimark_benchmark: 473.1656, usercpu_time_millis: 429450, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 429150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.005, kappa: 0.019, kb_relative_information_score: 155.0126, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.003, predictive_accuracy: 0.0387, prior_entropy: 5.6439, recall: 0.0387, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.9953, scimark_benchmark: 479.2609, usercpu_time_millis: 12600, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 12500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.5787, kappa: 0.5701, kb_relative_information_score: 864.7362, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.6181, predictive_accuracy: 0.5787, prior_entropy: 5.6439, recall: 0.5787, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.9273, scimark_benchmark: 473.1656, usercpu_time_millis: 901000, usercpu_time_millis_testing: 402590, usercpu_time_millis_training: 498410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.4555, kappa: 0.4463, kb_relative_information_score: 700.3257, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.463, predictive_accuracy: 0.4573, prior_entropy: 5.6439, recall: 0.4573, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.996, scimark_benchmark: 1238.8981, usercpu_time_millis: 73280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 73150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.6066, kappa: 0.5966, kb_relative_information_score: 905.0079, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.6393, predictive_accuracy: 0.6047, prior_entropy: 5.6439, recall: 0.6047, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.897, scimark_benchmark: 1248.2165, usercpu_time_millis: 228610, usercpu_time_millis_testing: 224890, usercpu_time_millis_training: 3720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.5353, kappa: 0.5306, kb_relative_information_score: 900.0913, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5552, predictive_accuracy: 0.54, prior_entropy: 5.6439, recall: 0.54, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.12, root_relative_squared_error: 0.8574, scimark_benchmark: 1241.5236, usercpu_time_millis: 91270, usercpu_time_millis_testing: 86810, usercpu_time_millis_training: 4460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.4665, kappa: 0.4687, kb_relative_information_score: 755.6633, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5474, predictive_accuracy: 0.4793, prior_entropy: 5.6439, recall: 0.4793, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.989, scimark_benchmark: 1060.7875, usercpu_time_millis: 410670, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 409440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.4791, kappa: 0.4707, kb_relative_information_score: 847.82, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5105, predictive_accuracy: 0.4813, prior_entropy: 5.6439, recall: 0.4813, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.117, root_relative_squared_error: 0.8358, scimark_benchmark: 1105.2245, usercpu_time_millis: 365110, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 364220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.0951, kappa: 0.0789, kb_relative_information_score: 301.6615, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.3285, predictive_accuracy: 0.0973, prior_entropy: 5.6439, recall: 0.0973, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1457, root_relative_squared_error: 1.0406, scimark_benchmark: 1350.4831, usercpu_time_millis: 273720, usercpu_time_millis_testing: 273720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.1144, kappa: 0.0986, kb_relative_information_score: 291.5141, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.2894, predictive_accuracy: 0.1167, prior_entropy: 5.6439, recall: 0.1167, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1624, root_relative_squared_error: 1.1599, scimark_benchmark: 1074.3733, usercpu_time_millis: 331140, usercpu_time_millis_testing: 331130, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.4054, kappa: 0.3966, kb_relative_information_score: 789.7746, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4593, predictive_accuracy: 0.4087, prior_entropy: 5.6439, recall: 0.4087, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.9117, scimark_benchmark: 1066.8846, usercpu_time_millis: 440910, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 439980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.7739, kappa: 0.7646, kb_relative_information_score: 255.3433, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.7918, predictive_accuracy: 0.7693, prior_entropy: 5.6439, recall: 0.7693, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.984, scimark_benchmark: 1120.2764, usercpu_time_millis: 341150, usercpu_time_millis_testing: 274470, usercpu_time_millis_training: 66680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.5881, kappa: 0.5884, kb_relative_information_score: 842.9556, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.597, predictive_accuracy: 0.5967, prior_entropy: 5.6439, recall: 0.5967, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.8097, scimark_benchmark: 970.3959, usercpu_time_millis: 425330, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 425050,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: 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: 0.6132, f_measure: 0.005, kappa: 0.019, kb_relative_information_score: 155.0126, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.003, predictive_accuracy: 0.0387, prior_entropy: 5.6439, recall: 0.0387, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.9953, scimark_benchmark: 860.6943, usercpu_time_millis: 2170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0008, kb_relative_information_score: 3.0099, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0004, predictive_accuracy: 0.02, prior_entropy: 5.6439, recall: 0.02, relative_absolute_error: 1, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.14, root_relative_squared_error: 1, scimark_benchmark: 1048.0557, usercpu_time_millis: 1152660, usercpu_time_millis_testing: 243710, usercpu_time_millis_training: 908950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.5663, kappa: 0.5599, kb_relative_information_score: 926.7967, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5793, predictive_accuracy: 0.5687, prior_entropy: 5.6439, recall: 0.5687, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.8519, scimark_benchmark: 536.6128, usercpu_time_millis: 554210, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 552780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.1148, kappa: 0.0939, kb_relative_information_score: 305.6816, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4265, predictive_accuracy: 0.112, prior_entropy: 5.6439, recall: 0.112, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1503, root_relative_squared_error: 1.0738, scimark_benchmark: 1283.8703, usercpu_time_millis: 273920, usercpu_time_millis_testing: 273920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.4007, kappa: 0.3571, kb_relative_information_score: 583.5635, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4565, predictive_accuracy: 0.37, prior_entropy: 5.6439, recall: 0.37, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.137, root_relative_squared_error: 0.9789, scimark_benchmark: 1014.9774, usercpu_time_millis: 475430, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 475240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.6066, kappa: 0.5966, kb_relative_information_score: 905.0079, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.6393, predictive_accuracy: 0.6047, prior_entropy: 5.6439, recall: 0.6047, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.897, scimark_benchmark: 1086.4144, usercpu_time_millis: 303770, usercpu_time_millis_testing: 300300, usercpu_time_millis_training: 3470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.2869, kappa: 0.2816, kb_relative_information_score: 562.9388, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.2921, predictive_accuracy: 0.296, prior_entropy: 5.6439, recall: 0.296, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.135, root_relative_squared_error: 0.964, scimark_benchmark: 1317.643, usercpu_time_millis: 13680, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 13640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.3, kappa: 0.2973, kb_relative_information_score: 355.0232, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.31, predictive_accuracy: 0.3113, prior_entropy: 5.6439, recall: 0.3113, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.9552, scimark_benchmark: 1314.5767, usercpu_time_millis: 30950, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 30640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.135, kappa: 0.0932, kb_relative_information_score: 219.7106, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5619, predictive_accuracy: 0.1113, prior_entropy: 5.6439, recall: 0.1113, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1619, root_relative_squared_error: 1.1562, usercpu_time_millis: 448.682, usercpu_time_millis_testing: 445.732, usercpu_time_millis_training: 2.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.5846, kappa: 0.5755, kb_relative_information_score: 848.6847, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5928, predictive_accuracy: 0.584, prior_entropy: 5.6439, recall: 0.584, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.7626, usercpu_time_millis: 4635.049, usercpu_time_millis_testing: 22.302, usercpu_time_millis_training: 4612.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.6488, kappa: 0.6265, kb_relative_information_score: 654.1688, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.7043, predictive_accuracy: 0.634, prior_entropy: 5.6439, recall: 0.634, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.8733, usercpu_time_millis: 7427.273, usercpu_time_millis_testing: 149.483, usercpu_time_millis_training: 7277.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.3013, kappa: 0.3265, kb_relative_information_score: 661.1059, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.3345, predictive_accuracy: 0.34, prior_entropy: 5.6439, recall: 0.34, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.867, usercpu_time_millis: 255.103, usercpu_time_millis_testing: 58.216, usercpu_time_millis_training: 196.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.0061, kb_relative_information_score: 17.431, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0036, predictive_accuracy: 0.02, prior_entropy: 5.6439, recall: 0.02, relative_absolute_error: 1, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.14, root_relative_squared_error: 1.0002, usercpu_time_millis: 54.613, usercpu_time_millis_testing: 4.711, usercpu_time_millis_training: 49.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.5809, kappa: 0.5844, kb_relative_information_score: 377.5837, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.6473, predictive_accuracy: 0.5927, prior_entropy: 5.6439, recall: 0.5927, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.9533, usercpu_time_millis: 348.183, usercpu_time_millis_testing: 10.092, usercpu_time_millis_training: 338.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.1542, kappa: 0.1639, kb_relative_information_score: 264.85, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4397, predictive_accuracy: 0.1807, prior_entropy: 5.6439, recall: 0.1807, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.181, root_relative_squared_error: 1.2926, usercpu_time_millis: 1575.801, usercpu_time_millis_testing: 1124.647, usercpu_time_millis_training: 451.154,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: 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: 0.8023, f_measure: 0.3396, kappa: 0.3354, kb_relative_information_score: 639.569, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.3525, predictive_accuracy: 0.3487, prior_entropy: 5.6439, recall: 0.3487, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.9254, scimark_benchmark: 889.1919, usercpu_time_millis: 490690, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 490640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.0008, kb_relative_information_score: 3.0055, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0004, predictive_accuracy: 0.02, prior_entropy: 5.6439, recall: 0.02, relative_absolute_error: 1, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.14, root_relative_squared_error: 1, scimark_benchmark: 1028.0867, usercpu_time_millis: 468320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 468270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.4783, kappa: 0.466, kb_relative_information_score: 704.618, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4916, predictive_accuracy: 0.4767, prior_entropy: 5.6439, recall: 0.4767, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1422, root_relative_squared_error: 1.0155, scimark_benchmark: 1305.8137, usercpu_time_millis: 319740, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 319260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.4718, kappa: 0.4585, kb_relative_information_score: 856.9988, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5096, predictive_accuracy: 0.4693, prior_entropy: 5.6439, recall: 0.4693, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.8408, scimark_benchmark: 1352.065, usercpu_time_millis: 331370, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 330620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.4634, kappa: 0.4517, kb_relative_information_score: 758.1401, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4711, predictive_accuracy: 0.4627, prior_entropy: 5.6439, recall: 0.4627, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.9075, scimark_benchmark: 940.0109, usercpu_time_millis: 155680, usercpu_time_millis_testing: 1330, usercpu_time_millis_training: 154350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.6066, kappa: 0.5966, kb_relative_information_score: 905.0079, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.6393, predictive_accuracy: 0.6047, prior_entropy: 5.6439, recall: 0.6047, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.897, scimark_benchmark: 1454.4051, usercpu_time_millis: 298200, usercpu_time_millis_testing: 294790, usercpu_time_millis_training: 3410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.6066, kappa: 0.5966, kb_relative_information_score: 905.0079, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.6393, predictive_accuracy: 0.6047, prior_entropy: 5.6439, recall: 0.6047, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.897, scimark_benchmark: 1230.3004, usercpu_time_millis: 221420, usercpu_time_millis_testing: 217940, usercpu_time_millis_training: 3480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.7536, kappa: 0.7503, kb_relative_information_score: 1132.8828, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.7834, predictive_accuracy: 0.7553, prior_entropy: 5.6439, recall: 0.7553, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.7046, scimark_benchmark: 1230.3004, usercpu_time_millis: 1490, usercpu_time_millis_testing: 1370, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.2026, kappa: 0.1694, kb_relative_information_score: 270.381, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4868, predictive_accuracy: 0.186, prior_entropy: 5.6439, recall: 0.186, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1773, root_relative_squared_error: 1.2662, scimark_benchmark: 473.1656, usercpu_time_millis: 823820, usercpu_time_millis_testing: 823810, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8538, kappa: 0.8531, kb_relative_information_score: 1282.8845, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.8598, predictive_accuracy: 0.856, prior_entropy: 5.6439, recall: 0.856, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.5421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.7797, kappa: 0.7694, kb_relative_information_score: 982.6634, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.7984, predictive_accuracy: 0.774, prior_entropy: 5.6439, recall: 0.774, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.7086,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.Agresti).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.3274, kappa: 0.3136, kb_relative_information_score: 552.1021, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.3375, predictive_accuracy: 0.3273, prior_entropy: 5.6439, recall: 0.3273, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1452, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, kappa: 0.0204, kb_relative_information_score: 37.5915, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, predictive_accuracy: 0.04, prior_entropy: 5.6439, recall: 0.04, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.582, f_measure: 0.1542, kappa: 0.1639, kb_relative_information_score: 264.6531, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4397, predictive_accuracy: 0.1807, prior_entropy: 5.6439, recall: 0.1807, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.181, root_relative_squared_error: 1.2931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.7995, kappa: 0.7946, kb_relative_information_score: 1232.9122, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.8054, predictive_accuracy: 0.7987, prior_entropy: 5.6439, recall: 0.7987, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.5747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0008, kb_relative_information_score: 15.1253, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.0004, predictive_accuracy: 0.02, prior_entropy: 5.6439, recall: 0.02, relative_absolute_error: 1, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.14, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.7903, kappa: 0.7871, kb_relative_information_score: 1219.6596, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.7961, predictive_accuracy: 0.7913, prior_entropy: 5.6439, recall: 0.7913, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.005, kappa: 0.019, kb_relative_information_score: 155.0126, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.003, predictive_accuracy: 0.0387, prior_entropy: 5.6439, recall: 0.0387, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.5386, kappa: 0.5286, kb_relative_information_score: 793.5269, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.5468, predictive_accuracy: 0.538, prior_entropy: 5.6439, recall: 0.538, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.116, root_relative_squared_error: 0.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.4503, kappa: 0.4374, kb_relative_information_score: 668.7292, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0392, number_of_instances: 1500, precision: 0.4558, predictive_accuracy: 0.4487, prior_entropy: 5.6439, recall: 0.4487, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.14, root_mean_squared_error: 0.1485, root_relative_squared_error: 1.0607,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

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

OpenML APIs