Task
Supervised Classification on one-hundred-plants-texture

Supervised Classification on one-hundred-plants-texture

Task 9956 Supervised Classification one-hundred-plants-texture 11833 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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11833 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.4839, kappa: 0.4864, kb_relative_information_score: 896.1016, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4934, predictive_accuracy: 0.4916, prior_entropy: 6.6438, recall: 0.4916, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, kappa: 0.3108, kb_relative_information_score: 801.2587, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3177, prior_entropy: 6.6438, recall: 0.3177, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, kappa: 0.3108, kb_relative_information_score: 801.2587, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3177, prior_entropy: 6.6438, recall: 0.3177, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.4348, kappa: 0.4384, kb_relative_information_score: 865.6552, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.445, predictive_accuracy: 0.444, prior_entropy: 6.6438, recall: 0.444, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.8897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, kappa: 0.3544, kb_relative_information_score: 849.5015, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3609, prior_entropy: 6.6438, recall: 0.3609, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.465, kappa: 0.4599, kb_relative_information_score: 864.0664, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4764, predictive_accuracy: 0.4653, prior_entropy: 6.6438, recall: 0.4653, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.089, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.3892, kappa: 0.4056, kb_relative_information_score: 848.3902, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.385, predictive_accuracy: 0.4115, prior_entropy: 6.6438, recall: 0.4115, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.089, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, kappa: 0.2925, kb_relative_information_score: 787.2299, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.2996, prior_entropy: 6.6438, recall: 0.2996, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, kappa: 0.4157, kb_relative_information_score: 874.8322, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4215, prior_entropy: 6.6438, recall: 0.4215, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, kappa: 0.3474, kb_relative_information_score: 813.7561, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.354, prior_entropy: 6.6438, recall: 0.354, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.4807, kappa: 0.4732, kb_relative_information_score: 851.7575, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4945, predictive_accuracy: 0.4784, prior_entropy: 6.6438, recall: 0.4784, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.4903, kappa: 0.4807, kb_relative_information_score: 814.5663, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5088, predictive_accuracy: 0.4859, prior_entropy: 6.6438, recall: 0.4859, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, kappa: 0.3506, kb_relative_information_score: 816.2469, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3571, prior_entropy: 6.6438, recall: 0.3571, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.4934, kappa: 0.4896, kb_relative_information_score: 900.147, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5047, predictive_accuracy: 0.4947, prior_entropy: 6.6438, recall: 0.4947, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.4432, kappa: 0.4441, kb_relative_information_score: 864.8222, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4518, predictive_accuracy: 0.4497, prior_entropy: 6.6438, recall: 0.4497, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.8906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, kappa: 0.3778, kb_relative_information_score: 868.2022, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.384, prior_entropy: 6.6438, recall: 0.384, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.4321, kappa: 0.4371, kb_relative_information_score: 866.4567, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4384, predictive_accuracy: 0.4428, prior_entropy: 6.6438, recall: 0.4428, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, kappa: 0.3557, kb_relative_information_score: 849.6836, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3621, prior_entropy: 6.6438, recall: 0.3621, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, kappa: 0.3228, kb_relative_information_score: 803.6065, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3296, prior_entropy: 6.6438, recall: 0.3296, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, kappa: 0.3771, kb_relative_information_score: 866.7252, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3834, prior_entropy: 6.6438, recall: 0.3834, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, kappa: 0.2925, kb_relative_information_score: 787.2299, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.2996, prior_entropy: 6.6438, recall: 0.2996, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.4589, kappa: 0.4605, kb_relative_information_score: 901.6728, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4687, predictive_accuracy: 0.4659, prior_entropy: 6.6438, recall: 0.4659, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.4884, kappa: 0.4845, kb_relative_information_score: 889.6101, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4994, predictive_accuracy: 0.4897, prior_entropy: 6.6438, recall: 0.4897, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.5006, kappa: 0.4978, kb_relative_information_score: 893.0808, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5134, predictive_accuracy: 0.5028, prior_entropy: 6.6438, recall: 0.5028, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.3702, kappa: 0.3904, kb_relative_information_score: 837.8337, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3675, predictive_accuracy: 0.3965, prior_entropy: 6.6438, recall: 0.3965, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.4629, kappa: 0.4586, kb_relative_information_score: 859.8423, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.479, predictive_accuracy: 0.464, prior_entropy: 6.6438, recall: 0.464, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, kappa: 0.3013, kb_relative_information_score: 793.4884, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3083, prior_entropy: 6.6438, recall: 0.3083, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, kappa: 0.3778, kb_relative_information_score: 868.598, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.384, prior_entropy: 6.6438, recall: 0.384, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, kappa: 0.3108, kb_relative_information_score: 801.2587, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3177, prior_entropy: 6.6438, recall: 0.3177, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.4873, kappa: 0.4871, kb_relative_information_score: 916.6373, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4968, predictive_accuracy: 0.4922, prior_entropy: 6.6438, recall: 0.4922, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.4634, kappa: 0.4586, kb_relative_information_score: 861.9823, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4742, predictive_accuracy: 0.464, prior_entropy: 6.6438, recall: 0.464, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, kappa: 0.3519, kb_relative_information_score: 866.4322, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3583, prior_entropy: 6.6438, recall: 0.3583, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.4596, kappa: 0.4612, kb_relative_information_score: 901.8637, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4685, predictive_accuracy: 0.4665, prior_entropy: 6.6438, recall: 0.4665, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.4766, kappa: 0.4776, kb_relative_information_score: 902.6505, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4842, predictive_accuracy: 0.4828, prior_entropy: 6.6438, recall: 0.4828, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, kappa: 0.3493, kb_relative_information_score: 816.0061, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3558, prior_entropy: 6.6438, recall: 0.3558, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.459, kappa: 0.4605, kb_relative_information_score: 902.7821, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4685, predictive_accuracy: 0.4659, prior_entropy: 6.6438, recall: 0.4659, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.4659, kappa: 0.4706, kb_relative_information_score: 895.095, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4713, predictive_accuracy: 0.4759, prior_entropy: 6.6438, recall: 0.4759, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.5031, kappa: 0.5016, kb_relative_information_score: 889.9478, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5167, predictive_accuracy: 0.5066, prior_entropy: 6.6438, recall: 0.5066, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, kappa: 0.4492, kb_relative_information_score: 893.4184, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4547, prior_entropy: 6.6438, recall: 0.4547, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, kappa: 0.4454, kb_relative_information_score: 899.054, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4509, prior_entropy: 6.6438, recall: 0.4509, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, kappa: 0.4479, kb_relative_information_score: 891.6815, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4534, prior_entropy: 6.6438, recall: 0.4534, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, kappa: 0.2925, kb_relative_information_score: 787.2299, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.2996, prior_entropy: 6.6438, recall: 0.2996, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, kappa: 0.3519, kb_relative_information_score: 866.2178, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3583, prior_entropy: 6.6438, recall: 0.3583, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, kappa: 0.4106, kb_relative_information_score: 872.274, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4165, prior_entropy: 6.6438, recall: 0.4165, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.501, kappa: 0.4997, kb_relative_information_score: 905.9218, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5111, predictive_accuracy: 0.5047, prior_entropy: 6.6438, recall: 0.5047, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.4938, kappa: 0.4927, kb_relative_information_score: 892.8801, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5038, predictive_accuracy: 0.4978, prior_entropy: 6.6438, recall: 0.4978, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.088, root_relative_squared_error: 0.8839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, kappa: 0.3108, kb_relative_information_score: 801.2587, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3177, prior_entropy: 6.6438, recall: 0.3177, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.3684, kappa: 0.3885, kb_relative_information_score: 835.4434, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3658, predictive_accuracy: 0.3946, prior_entropy: 6.6438, recall: 0.3946, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, kappa: 0.302, kb_relative_information_score: 793.8039, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3089, prior_entropy: 6.6438, recall: 0.3089, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.092, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, kappa: 0.4504, kb_relative_information_score: 894.2294, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4559, prior_entropy: 6.6438, recall: 0.4559, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.4213, kappa: 0.4296, kb_relative_information_score: 856.5355, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.428, predictive_accuracy: 0.4353, prior_entropy: 6.6438, recall: 0.4353, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.4599, kappa: 0.4567, kb_relative_information_score: 851.7456, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4721, predictive_accuracy: 0.4622, prior_entropy: 6.6438, recall: 0.4622, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.4387, kappa: 0.4422, kb_relative_information_score: 854.4906, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4465, predictive_accuracy: 0.4478, prior_entropy: 6.6438, recall: 0.4478, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.089, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, kappa: 0.3013, kb_relative_information_score: 793.4884, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3083, prior_entropy: 6.6438, recall: 0.3083, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.4523, kappa: 0.4485, kb_relative_information_score: 853.1834, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4654, predictive_accuracy: 0.454, prior_entropy: 6.6438, recall: 0.454, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, kappa: 0.3399, kb_relative_information_score: 869.7853, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3465, prior_entropy: 6.6438, recall: 0.3465, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.4232, kappa: 0.4308, kb_relative_information_score: 857.3613, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4271, predictive_accuracy: 0.4365, prior_entropy: 6.6438, recall: 0.4365, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.3718, kappa: 0.3923, kb_relative_information_score: 840.2447, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3687, predictive_accuracy: 0.3984, prior_entropy: 6.6438, recall: 0.3984, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, kappa: 0.3481, kb_relative_information_score: 813.0732, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3546, prior_entropy: 6.6438, recall: 0.3546, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, kappa: 0.3493, kb_relative_information_score: 815.0621, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3558, prior_entropy: 6.6438, recall: 0.3558, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.4718, kappa: 0.4656, kb_relative_information_score: 875.9169, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4809, predictive_accuracy: 0.4709, prior_entropy: 6.6438, recall: 0.4709, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, kappa: 0.3013, kb_relative_information_score: 793.4884, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3083, prior_entropy: 6.6438, recall: 0.3083, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.4759, kappa: 0.4713, kb_relative_information_score: 860.7624, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4869, predictive_accuracy: 0.4765, prior_entropy: 6.6438, recall: 0.4765, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.3887, kappa: 0.4043, kb_relative_information_score: 848.6219, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3856, predictive_accuracy: 0.4103, prior_entropy: 6.6438, recall: 0.4103, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.089, root_relative_squared_error: 0.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.4972, kappa: 0.4972, kb_relative_information_score: 897.597, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5035, predictive_accuracy: 0.5022, prior_entropy: 6.6438, recall: 0.5022, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.8787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.4954, kappa: 0.4927, kb_relative_information_score: 794.228, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5, predictive_accuracy: 0.4978, prior_entropy: 6.6438, recall: 0.4978, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1002, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, kappa: 0.2925, kb_relative_information_score: 787.2299, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.2996, prior_entropy: 6.6438, recall: 0.2996, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.4389, kappa: 0.4435, kb_relative_information_score: 866.802, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4454, predictive_accuracy: 0.449, prior_entropy: 6.6438, recall: 0.449, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, kappa: 0.3304, kb_relative_information_score: 813.2303, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3371, prior_entropy: 6.6438, recall: 0.3371, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.3431, kappa: 0.3714, kb_relative_information_score: 824.4813, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3324, predictive_accuracy: 0.3777, prior_entropy: 6.6438, recall: 0.3777, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.4574, kappa: 0.4555, kb_relative_information_score: 851.0247, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4688, predictive_accuracy: 0.4609, prior_entropy: 6.6438, recall: 0.4609, relative_absolute_error: 0.5887, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.3428, kappa: 0.3708, kb_relative_information_score: 823.8593, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3324, predictive_accuracy: 0.3771, prior_entropy: 6.6438, recall: 0.3771, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.9106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.4873, kappa: 0.4871, kb_relative_information_score: 914.6425, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4959, predictive_accuracy: 0.4922, prior_entropy: 6.6438, recall: 0.4922, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.8665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.4935, kappa: 0.4934, kb_relative_information_score: 902.6657, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5027, predictive_accuracy: 0.4984, prior_entropy: 6.6438, recall: 0.4984, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.4691, kappa: 0.4643, kb_relative_information_score: 851.9556, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4793, predictive_accuracy: 0.4697, prior_entropy: 6.6438, recall: 0.4697, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, kappa: 0.3493, kb_relative_information_score: 814.816, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3558, prior_entropy: 6.6438, recall: 0.3558, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, kappa: 0.3228, kb_relative_information_score: 803.7114, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3296, prior_entropy: 6.6438, recall: 0.3296, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, kappa: 0.3557, kb_relative_information_score: 856.4248, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3621, prior_entropy: 6.6438, recall: 0.3621, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, kappa: 0.3778, kb_relative_information_score: 868.5635, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.384, prior_entropy: 6.6438, recall: 0.384, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.4938, kappa: 0.4858, kb_relative_information_score: 834.9208, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5071, predictive_accuracy: 0.4909, prior_entropy: 6.6438, recall: 0.4909, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.4648, kappa: 0.4605, kb_relative_information_score: 853.5851, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4768, predictive_accuracy: 0.4659, prior_entropy: 6.6438, recall: 0.4659, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.465, kappa: 0.4687, kb_relative_information_score: 896.0096, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.472, predictive_accuracy: 0.474, prior_entropy: 6.6438, recall: 0.474, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.8721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.4673, kappa: 0.4612, kb_relative_information_score: 851.3967, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4779, predictive_accuracy: 0.4665, prior_entropy: 6.6438, recall: 0.4665, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.502, kappa: 0.5003, kb_relative_information_score: 903.2997, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5127, predictive_accuracy: 0.5053, prior_entropy: 6.6438, recall: 0.5053, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.4907, kappa: 0.482, kb_relative_information_score: 828.4417, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5072, predictive_accuracy: 0.4872, prior_entropy: 6.6438, recall: 0.4872, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.459, kappa: 0.4567, kb_relative_information_score: 862.4743, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4725, predictive_accuracy: 0.4622, prior_entropy: 6.6438, recall: 0.4622, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.4639, kappa: 0.4593, kb_relative_information_score: 865.1097, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.477, predictive_accuracy: 0.4647, prior_entropy: 6.6438, recall: 0.4647, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.4322, kappa: 0.4346, kb_relative_information_score: 862.2068, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4428, predictive_accuracy: 0.4403, prior_entropy: 6.6438, recall: 0.4403, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, kappa: 0.4852, kb_relative_information_score: 915.5771, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4903, prior_entropy: 6.6438, recall: 0.4903, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.4797, kappa: 0.4814, kb_relative_information_score: 892.6426, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4907, predictive_accuracy: 0.4866, prior_entropy: 6.6438, recall: 0.4866, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.088, root_relative_squared_error: 0.8848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.3995, kappa: 0.4112, kb_relative_information_score: 852.1678, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3991, predictive_accuracy: 0.4171, prior_entropy: 6.6438, recall: 0.4171, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, kappa: 0.3323, kb_relative_information_score: 814.5927, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.339, prior_entropy: 6.6438, recall: 0.339, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.4684, kappa: 0.4719, kb_relative_information_score: 897.0257, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4764, predictive_accuracy: 0.4772, prior_entropy: 6.6438, recall: 0.4772, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, kappa: 0.2925, kb_relative_information_score: 787.2299, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.2996, prior_entropy: 6.6438, recall: 0.2996, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.4677, kappa: 0.4713, kb_relative_information_score: 899.3233, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4728, predictive_accuracy: 0.4765, prior_entropy: 6.6438, recall: 0.4765, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, kappa: 0.3399, kb_relative_information_score: 869.7853, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3465, prior_entropy: 6.6438, recall: 0.3465, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.4468, kappa: 0.4466, kb_relative_information_score: 856.9728, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4552, predictive_accuracy: 0.4522, prior_entropy: 6.6438, recall: 0.4522, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, kappa: 0.4441, kb_relative_information_score: 896.8541, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4497, prior_entropy: 6.6438, recall: 0.4497, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.3417, kappa: 0.3702, kb_relative_information_score: 822.5184, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3314, predictive_accuracy: 0.3765, prior_entropy: 6.6438, recall: 0.3765, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, kappa: 0.3399, kb_relative_information_score: 869.7853, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3465, prior_entropy: 6.6438, recall: 0.3465, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9019,

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