OpenML
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7521, kappa: 0.3946, kb_relative_information_score: 0.3028, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7501, predictive_accuracy: 0.761, prior_entropy: 0.8813, recall: 0.761, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8709, kappa: 0.7386, kb_relative_information_score: 0.6904, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8709, predictive_accuracy: 0.871, prior_entropy: 0.9912, recall: 0.871, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9829, kappa: 0.981, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 3.3218, recall: 0.9829, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.517, kappa: 0.2511, kb_relative_information_score: 0.2773, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5173, predictive_accuracy: 0.5173, prior_entropy: 1.539, recall: 0.5173, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.7918, kappa: 0.7628, kb_relative_information_score: 0.7869, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7982, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6874, kappa: 0.6533, kb_relative_information_score: 0.7068, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6872, predictive_accuracy: 0.688, prior_entropy: 3.3219, recall: 0.688, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 0.898, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8522, kappa: 0.8361, kb_relative_information_score: 0.8568, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8528, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.5195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.969, kappa: 0.9656, kb_relative_information_score: 0.9701, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9692, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.845, kappa: 0.738, kb_relative_information_score: 0.6767, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8378, predictive_accuracy: 0.8528, prior_entropy: 1.3181, recall: 0.8528, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9697, kappa: 0.9685, kb_relative_information_score: 0.9748, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 4.6998, recall: 0.9697, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.2168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1342,
Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8522, kappa: 0.8361, kb_relative_information_score: 0.8568, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8528, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.5195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.969, kappa: 0.9656, kb_relative_information_score: 0.9701, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9692, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.845, kappa: 0.738, kb_relative_information_score: 0.6767, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8378, predictive_accuracy: 0.8528, prior_entropy: 1.3181, recall: 0.8528, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9697, kappa: 0.9685, kb_relative_information_score: 0.9748, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 4.6998, recall: 0.9697, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.2168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1342,
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8522, kappa: 0.8361, kb_relative_information_score: 0.8568, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8528, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.5195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.969, kappa: 0.9656, kb_relative_information_score: 0.9701, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9692, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.845, kappa: 0.738, kb_relative_information_score: 0.6767, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8378, predictive_accuracy: 0.8528, prior_entropy: 1.3181, recall: 0.8528, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9697, kappa: 0.9685, kb_relative_information_score: 0.9748, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 4.6998, recall: 0.9697, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.2168,
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.6913, kappa: 0.3423, kb_relative_information_score: -0.0352, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7446, predictive_accuracy: 0.678, prior_entropy: 0.8813, recall: 0.678, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9993,
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6512, kappa: 0.2981, kb_relative_information_score: -0.2661, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7407, predictive_accuracy: 0.637, prior_entropy: 0.8813, recall: 0.637, relative_absolute_error: 1.1443, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.0543,
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.8582, kappa: 0.7181, kb_relative_information_score: 0.5769, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8724, predictive_accuracy: 0.858, prior_entropy: 0.9912, recall: 0.858, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6865,
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 0.01, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9912, recall: 0.8551, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9866,
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 0.01, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9912, recall: 0.8551, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9866,
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.845, kappa: 0.738, kb_relative_information_score: 0.6767, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8378, predictive_accuracy: 0.8528, prior_entropy: 1.3181, recall: 0.8528, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9697, kappa: 0.9685, kb_relative_information_score: 0.9748, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 4.6998, recall: 0.9697, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.2168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1342,
Automatically created scikit-learn flow.
39 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.7903, kappa: 0.77, kb_relative_information_score: 0.7301, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7901, predictive_accuracy: 0.793, prior_entropy: 3.3219, recall: 0.793, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9494, kappa: 0.9439, kb_relative_information_score: 0.8941, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9495, predictive_accuracy: 0.9495, prior_entropy: 3.3219, recall: 0.9495, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.81, kappa: 0.6697, kb_relative_information_score: 0.5635, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8078, predictive_accuracy: 0.8128, prior_entropy: 1.3181, recall: 0.8128, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9409, kappa: 0.9383, kb_relative_information_score: 0.9142, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9415, predictive_accuracy: 0.9407, prior_entropy: 4.6998, recall: 0.9407, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3622,