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: 0.6538, kb_relative_information_score: 12.0969, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -18.0251, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 0.5548, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9992, 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: 4.9284, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9929, 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: 0.4982, kb_relative_information_score: 7.4777, 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: 0.9883, 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: 0.5022, kb_relative_information_score: 13.3525, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.5582, kappa: 0.0289, kb_relative_information_score: -2.2161, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6145, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: 43.842, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 8.3721, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0005,
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: 0.5022, kb_relative_information_score: -112.6092, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0944, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0354,
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: 0.6317, f_measure: 0.5973, kappa: 0.0917, kb_relative_information_score: 26.8749, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6437, predictive_accuracy: 0.6756, prior_entropy: 0.9188, recall: 0.6756, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.5647, kappa: 0.0664, kb_relative_information_score: -50.3728, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5864, predictive_accuracy: 0.5536, prior_entropy: 0.9188, recall: 0.5536, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6138, root_relative_squared_error: 1.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6208, f_measure: 0.6297, kappa: 0.1423, kb_relative_information_score: 43.3648, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.628, predictive_accuracy: 0.6592, prior_entropy: 0.9188, recall: 0.6592, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -35.4124, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4728, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, kb_relative_information_score: -19.7439, 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: 1.015, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 26.6877, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9606, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 1.6097, 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: 0.9977, 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: 6.8532, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9895, 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: 0.5022, kb_relative_information_score: 38.21, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.5808, kappa: 0.0376, kb_relative_information_score: 17.335, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5727, predictive_accuracy: 0.5938, prior_entropy: 0.9188, recall: 0.5938, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5673, f_measure: 0.5836, kappa: 0.0486, kb_relative_information_score: 8.5482, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5912, predictive_accuracy: 0.6503, prior_entropy: 0.9188, recall: 0.6503, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4734, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.5703, kappa: 0.005, kb_relative_information_score: 39.0097, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.558, predictive_accuracy: 0.6012, prior_entropy: 0.9188, recall: 0.6012, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.6079, kappa: 0.1042, kb_relative_information_score: 12.8614, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6024, predictive_accuracy: 0.6161, prior_entropy: 0.9188, recall: 0.6161, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4914, root_relative_squared_error: 1.0425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 8.88, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 0.4247, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9984, 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: -10.8798, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0079, 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: 0.6067, f_measure: 0.5724, kappa: 0.0392, kb_relative_information_score: 28.6046, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5967, predictive_accuracy: 0.6592, prior_entropy: 0.9188, recall: 0.6592, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 23.9821, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.6244, kappa: 0.1383, kb_relative_information_score: 54.4886, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6185, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 0.7376, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9976, 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: 9.4539, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -65.8916, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0516, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, f_measure: 0.6253, kappa: 0.1356, kb_relative_information_score: 36.1465, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6364, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -77.0955, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0615, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 8.0345, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0005,
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: 0.4978, kb_relative_information_score: 4.3059, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9938, 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: 0.6542, f_measure: 0.6326, kappa: 0.1578, kb_relative_information_score: 39.4517, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6638, predictive_accuracy: 0.6875, prior_entropy: 0.9188, recall: 0.6875, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, kb_relative_information_score: -42.9596, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.032, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.931, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, 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: 0.5022, kb_relative_information_score: 55.3539, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, kb_relative_information_score: 18.4335, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9711, 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: 0.4982, kb_relative_information_score: -1.0287, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0007, 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: -19.0153, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -9.9683, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0073, 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: 0.6299, f_measure: 0.5955, kappa: 0.0891, kb_relative_information_score: 36.2837, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6442, predictive_accuracy: 0.6756, prior_entropy: 0.9188, recall: 0.6756, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6187, kappa: 0.119, kb_relative_information_score: 37.8408, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6241, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 9.3372, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9866, 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: 0.5305, f_measure: 0.574, kappa: 0.0212, kb_relative_information_score: 17.7994, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5694, predictive_accuracy: 0.6339, prior_entropy: 0.9188, recall: 0.6339, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -22.2886, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.611, kappa: 0.1111, kb_relative_information_score: 22.5752, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6056, predictive_accuracy: 0.619, prior_entropy: 0.9188, recall: 0.619, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: -14.9152, 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: 0.4978, kb_relative_information_score: -7.368, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0051, 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: 0.4982, kb_relative_information_score: 9.5406, 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: 0.4719, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5394, kappa: 0.0089, kb_relative_information_score: 30.5486, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6677, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.8898, 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: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -6.6818, 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: 1.0048, 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: 31.7156, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0093,
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: 0.6248, f_measure: 0.6502, kappa: 0.1972, kb_relative_information_score: 69.4619, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6453, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -24.3028, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0016,
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: 0.4982, kb_relative_information_score: 23.8202, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, kb_relative_information_score: 7.2231, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -2.6935, 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: 0.4714, root_relative_squared_error: 1,
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: 0.5018, kb_relative_information_score: -65.2019, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0511, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 30.9155, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 6.8396, 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: 0.4721, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6043, kb_relative_information_score: -5.8848, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -56.322, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 2.9214, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9958, 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: 0.4982, kb_relative_information_score: -63.4792, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0495, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6444, kappa: 0.1783, kb_relative_information_score: 26.412, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6576, predictive_accuracy: 0.6845, prior_entropy: 0.9188, recall: 0.6845, relative_absolute_error: 0.9482, 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: 18.005, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4728, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 11.995, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9827, 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: 19.3606, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 7.0185, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -0.6019, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9991, 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: 22.2051, 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: 0.9675, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4734, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 11.1885, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9839, 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: -5.6174, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.004, 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: 0.5022, kb_relative_information_score: -50.4875, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.474, kappa: -0.0056, kb_relative_information_score: -178.1617, mean_absolute_error: 0.5357, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5523, predictive_accuracy: 0.4643, prior_entropy: 0.9188, recall: 0.4643, relative_absolute_error: 1.2049, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7319, root_relative_squared_error: 1.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 0.8878, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9984, 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: 0.5072, kb_relative_information_score: -2.8279, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9965, 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: 0.4938, kb_relative_information_score: 8.2051, 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: 0.5, kb_relative_information_score: -50.9912, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, kb_relative_information_score: 12.1208, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, f_measure: 0.546, kappa: 0.0168, kb_relative_information_score: -64.855, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5633, predictive_accuracy: 0.5357, prior_entropy: 0.9188, recall: 0.5357, relative_absolute_error: 1.0443, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6814, root_relative_squared_error: 1.4454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, f_measure: 0.6229, kappa: 0.1371, kb_relative_information_score: 30.5729, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6531, predictive_accuracy: 0.6815, prior_entropy: 0.9188, recall: 0.6815, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.5838, kappa: 0.0646, kb_relative_information_score: 6.9159, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5843, predictive_accuracy: 0.5833, prior_entropy: 0.9188, recall: 0.5833, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5834, root_relative_squared_error: 1.2376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 1.683, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9976, 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: 10.291, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.5535, kappa: 0.0173, kb_relative_information_score: 23.8375, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5893, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.6523, kappa: 0.1949, kb_relative_information_score: 59.7781, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6589, predictive_accuracy: 0.6845, prior_entropy: 0.9188, recall: 0.6845, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, kb_relative_information_score: 15.3337, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.6209, kappa: 0.124, kb_relative_information_score: 51.1688, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6266, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9776,

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