Task
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13324 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13324 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.8214, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 143.7544, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.6855, kappa: 0.3611, kb_relative_information_score: 158.0776, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6863, predictive_accuracy: 0.688, prior_entropy: 0.991, recall: 0.688, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8743, kappa: 0.7459, kb_relative_information_score: 296.5136, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9, predictive_accuracy: 0.878, prior_entropy: 0.991, recall: 0.878, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.2298, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0121, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8027, kappa: 0.6067, kb_relative_information_score: 114.1141, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8606, predictive_accuracy: 0.814, prior_entropy: 0.991, recall: 0.814, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.311, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.5421, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9057, kappa: 0.8087, kb_relative_information_score: 388.5833, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9063, predictive_accuracy: 0.906, prior_entropy: 0.991, recall: 0.906, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -6.1735, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8577, kappa: 0.7115, kb_relative_information_score: 238.5797, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.991, recall: 0.858, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8635, kappa: 0.7244, kb_relative_information_score: 156.4777, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8933, predictive_accuracy: 0.868, prior_entropy: 0.991, recall: 0.868, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4563, kappa: -0.0031, kb_relative_information_score: -33.569, mean_absolute_error: 0.524, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5043, predictive_accuracy: 0.476, prior_entropy: 0.991, recall: 0.476, relative_absolute_error: 1.0613, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7239, root_relative_squared_error: 1.4569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.1571, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 312.73, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9114, kappa: 0.82, kb_relative_information_score: 307.0931, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9144, predictive_accuracy: 0.912, prior_entropy: 0.991, recall: 0.912, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8003, kappa: 0.6036, kb_relative_information_score: 239.2728, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8155, predictive_accuracy: 0.8, prior_entropy: 0.991, recall: 0.8, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.8378, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.5024, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9039, kappa: 0.805, kb_relative_information_score: 353.8804, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.1788, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 447.4956, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.2448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.7166, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.7533, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.4012, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.7173, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.697, kappa: 0.392, kb_relative_information_score: 179.7516, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7023, predictive_accuracy: 0.696, prior_entropy: 0.991, recall: 0.696, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.8332, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9578, kappa: 0.9143, kb_relative_information_score: 372.3952, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9599, predictive_accuracy: 0.958, prior_entropy: 0.991, recall: 0.958, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 303.7765, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.1834, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9319, kappa: 0.8618, kb_relative_information_score: 388.153, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9322, predictive_accuracy: 0.932, prior_entropy: 0.991, recall: 0.932, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5507, kb_relative_information_score: 2.0558, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.5513, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.0881, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5452, kappa: 0.106, kb_relative_information_score: 37.7045, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.562, predictive_accuracy: 0.546, prior_entropy: 0.991, recall: 0.546, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6738, root_relative_squared_error: 1.3561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.2134, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.6447, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.0656, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8961, kappa: 0.7897, kb_relative_information_score: 301.8306, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8963, predictive_accuracy: 0.896, prior_entropy: 0.991, recall: 0.896, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.2855, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9014, kappa: 0.7996, kb_relative_information_score: 349.9256, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.904, predictive_accuracy: 0.902, prior_entropy: 0.991, recall: 0.902, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.2944, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9039, kappa: 0.8052, kb_relative_information_score: 345.8504, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9039, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.84, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 219.7597, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -5.3671, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.6868, kappa: 0.364, kb_relative_information_score: 126.7669, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6866, predictive_accuracy: 0.688, prior_entropy: 0.991, recall: 0.688, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.1068, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.9851, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.6943, kappa: 0.379, kb_relative_information_score: 115.5249, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6969, predictive_accuracy: 0.698, prior_entropy: 0.991, recall: 0.698, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.731, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8873, kappa: 0.7711, kb_relative_information_score: 322.5574, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8895, predictive_accuracy: 0.888, prior_entropy: 0.991, recall: 0.888, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 414.1801, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.2866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.9967, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.6893, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9198, kappa: 0.8372, kb_relative_information_score: 374.857, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9203, predictive_accuracy: 0.92, prior_entropy: 0.991, recall: 0.92, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.7686, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8443, kappa: 0.6836, kb_relative_information_score: 251.8976, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8494, predictive_accuracy: 0.846, prior_entropy: 0.991, recall: 0.846, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 232.7961, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.2113, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7347, kappa: 0.4654, kb_relative_information_score: 186.4073, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7371, predictive_accuracy: 0.734, prior_entropy: 0.991, recall: 0.734, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -18.5752, mean_absolute_error: 0.5065, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.768, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 136.5752, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9157, kappa: 0.8289, kb_relative_information_score: 378.0705, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9165, predictive_accuracy: 0.916, prior_entropy: 0.991, recall: 0.916, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.0442, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.982, kappa: 0.9634, kb_relative_information_score: 382.3456, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9823, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.1555, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.4259, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.8294, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9317, kappa: 0.8614, kb_relative_information_score: 329.5729, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.933, predictive_accuracy: 0.932, prior_entropy: 0.991, recall: 0.932, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.7602, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.807, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -24.0025, mean_absolute_error: 0.5108, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.4521, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.6537, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 410.6809, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 3.6111, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.85, kappa: 0.6961, kb_relative_information_score: 254.1937, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8499, predictive_accuracy: 0.85, prior_entropy: 0.991, recall: 0.85, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9095, kappa: 0.8161, kb_relative_information_score: 349.5411, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9117, predictive_accuracy: 0.91, prior_entropy: 0.991, recall: 0.91, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.1496, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8591, kappa: 0.7158, kb_relative_information_score: 139.1124, mean_absolute_error: 0.3847, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8907, predictive_accuracy: 0.864, prior_entropy: 0.991, recall: 0.864, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 11.8136, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.851, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.8613, kappa: 0.7187, kb_relative_information_score: 251.3232, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8744, predictive_accuracy: 0.864, prior_entropy: 0.991, recall: 0.864, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8928, kappa: 0.7822, kb_relative_information_score: 332.5323, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8989, predictive_accuracy: 0.894, prior_entropy: 0.991, recall: 0.894, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.2181, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7747, kappa: 0.5494, kb_relative_information_score: 265.1874, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7829, predictive_accuracy: 0.774, prior_entropy: 0.991, recall: 0.774, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.403, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.6287, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7043, kappa: 0.3994, kb_relative_information_score: 133.7863, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7046, predictive_accuracy: 0.706, prior_entropy: 0.991, recall: 0.706, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, kb_relative_information_score: 13.095, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9846,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs