OpenML
Supervised Classification on profb

Supervised Classification on profb

Task 3561 Supervised Classification profb 13173 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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13173 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.6037, kappa: 0.0863, kb_relative_information_score: 23.8378, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6076, predictive_accuracy: 0.6533, prior_entropy: 0.9188, recall: 0.6533, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.6354, kappa: 0.1609, kb_relative_information_score: 43.5365, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6575, predictive_accuracy: 0.6845, prior_entropy: 0.9188, recall: 0.6845, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -14.9595, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0109, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 10.5744, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.1198, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -3.7116, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -38.7224, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0291, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.6148, kappa: 0.1181, kb_relative_information_score: 43.5256, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6389, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -14.5973, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 5.4605, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.6155, kappa: 0.1103, kb_relative_information_score: 25.0815, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6092, predictive_accuracy: 0.6399, prior_entropy: 0.9188, recall: 0.6399, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 3.6042, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 30.518, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.6142, kappa: 0.1085, kb_relative_information_score: 33.9026, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6177, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 10.5397, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.5605, kappa: 0.0317, kb_relative_information_score: 67.7246, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6149, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, f_measure: 0.6274, kappa: 0.137, kb_relative_information_score: 51.4263, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6248, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, f_measure: 0.6183, kappa: 0.1209, kb_relative_information_score: 29.9238, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6305, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.0005, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -14.1418, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 8.7752, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 81.2812, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.3418, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, kb_relative_information_score: 15.1278, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.6176, kappa: 0.1272, kb_relative_information_score: 34.4084, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6508, predictive_accuracy: 0.6801, prior_entropy: 0.9188, recall: 0.6801, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 10.999, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 3.6483, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 48.9646, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3573, kappa: -0.0066, kb_relative_information_score: -152.273, mean_absolute_error: 0.505, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5481, predictive_accuracy: 0.3958, prior_entropy: 0.9188, recall: 0.3958, relative_absolute_error: 1.1358, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -0.5602, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -72.8915, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0589, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.0172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 11.8137, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -17.8367, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -20.4904, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0151, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.9201, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 6.9219, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6446, kappa: 0.1804, kb_relative_information_score: 27.1928, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6645, predictive_accuracy: 0.689, prior_entropy: 0.9188, recall: 0.689, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.6038, kappa: 0.0904, kb_relative_information_score: 45.2557, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6155, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.5954, kappa: 0.063, kb_relative_information_score: 48.6795, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5884, predictive_accuracy: 0.631, prior_entropy: 0.9188, recall: 0.631, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 6.4635, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.6668, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -46.6176, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0355, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.6043, kappa: 0.1041, kb_relative_information_score: 17.2309, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6019, predictive_accuracy: 0.6071, prior_entropy: 0.9188, recall: 0.6071, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -31.553, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0235, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -56.0857, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, kb_relative_information_score: 12.3431, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6186, kappa: 0.1443, kb_relative_information_score: -19.2859, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6197, predictive_accuracy: 0.6176, prior_entropy: 0.9188, recall: 0.6176, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.6198, kappa: 0.1208, kb_relative_information_score: 33.9214, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6233, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.661, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -106.026, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0881, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4861, root_relative_squared_error: 1.0312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 3.3352, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.6002, kappa: 0.0805, kb_relative_information_score: 4.8137, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5925, predictive_accuracy: 0.6146, prior_entropy: 0.9188, recall: 0.6146, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -3.5203, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -33.1077, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0247, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 56.7905, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.0302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -2.3789, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -12.3324, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 11.6253, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.2883, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 3.7749, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.5807, kappa: 0.0652, kb_relative_information_score: 46.5731, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6387, predictive_accuracy: 0.6726, prior_entropy: 0.9188, recall: 0.6726, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -6.0463, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.6065, kappa: 0.0889, kb_relative_information_score: 53.6045, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5995, predictive_accuracy: 0.6339, prior_entropy: 0.9188, recall: 0.6339, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.6423, kappa: 0.1747, kb_relative_information_score: 15.7065, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6597, predictive_accuracy: 0.686, prior_entropy: 0.9188, recall: 0.686, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -4.4534, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 22.2032, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -274.0542, mean_absolute_error: 0.576, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.2956, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6152, root_relative_squared_error: 1.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -33.4994, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.6217, kappa: 0.1239, kb_relative_information_score: 53.9955, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.621, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, kb_relative_information_score: 19.2635, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -3.1204, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.6147, kappa: 0.1135, kb_relative_information_score: 34.446, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6274, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.3616, kappa: -0.0033, kb_relative_information_score: -282.0263, mean_absolute_error: 0.6012, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5519, predictive_accuracy: 0.3988, prior_entropy: 0.9188, recall: 0.3988, relative_absolute_error: 1.3522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7754, root_relative_squared_error: 1.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -21.2043, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0156, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.6506, kappa: 0.1907, kb_relative_information_score: 42.2877, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.654, predictive_accuracy: 0.6801, prior_entropy: 0.9188, recall: 0.6801, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -26.7041, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6262, kappa: 0.1343, kb_relative_information_score: 25.9672, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6232, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -3.4604, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -6.4953, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.6275, kappa: 0.1379, kb_relative_information_score: 28.6832, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.631, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -27.6453, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.3616, kappa: -0.0033, kb_relative_information_score: -282.0263, mean_absolute_error: 0.6012, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5519, predictive_accuracy: 0.3988, prior_entropy: 0.9188, recall: 0.3988, relative_absolute_error: 1.3522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7754, root_relative_squared_error: 1.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.5516, kappa: 0.0587, kb_relative_information_score: -60.1337, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5839, predictive_accuracy: 0.5387, prior_entropy: 0.9188, recall: 0.5387, relative_absolute_error: 1.0376, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6792, root_relative_squared_error: 1.4408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 8.1658, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.3616, kappa: -0.0033, kb_relative_information_score: -204.7668, mean_absolute_error: 0.5371, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5519, predictive_accuracy: 0.3988, prior_entropy: 0.9188, recall: 0.3988, relative_absolute_error: 1.2081, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.3281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 5.6328, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 10.1346, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 1.5251, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 7.2004, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.6183, kappa: 0.1198, kb_relative_information_score: 53.3521, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6115, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 5.5837, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.639, f_measure: 0.642, kappa: 0.1746, kb_relative_information_score: 30.3347, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6369, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 42.0654, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, f_measure: 0.5974, kappa: 0.1085, kb_relative_information_score: 24.8464, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6041, predictive_accuracy: 0.5923, prior_entropy: 0.9188, recall: 0.5923, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6385, root_relative_squared_error: 1.3546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.6632, kappa: 0.22, kb_relative_information_score: 180.6432, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6679, predictive_accuracy: 0.6905, prior_entropy: 0.9188, recall: 0.6905, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5563, root_relative_squared_error: 1.1802,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs