OpenML
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Automatically created pytorch flow.
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Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.7023, kappa: 0.1157, kb_relative_information_score: 0.2743, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7542, predictive_accuracy: 0.7741, prior_entropy: 0.7916, recall: 0.7741, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.023,
Automatically created ONNX flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 43.8623, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.1157, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 56.5306, root_relative_squared_error: 1.0936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7345, kappa: 0.3557, kb_relative_information_score: 0.262, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7313, predictive_accuracy: 0.741, prior_entropy: 0.8813, recall: 0.741, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.9414,
exercises
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
Automatically created ONNX flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.695, kappa: 0.0953, kb_relative_information_score: 0.2745, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7488, predictive_accuracy: 0.7714, prior_entropy: 0.7916, recall: 0.7714, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4505, root_relative_squared_error: 1.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.695, kappa: 0.0953, kb_relative_information_score: 0.2745, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7488, predictive_accuracy: 0.7714, prior_entropy: 0.7916, recall: 0.7714, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4505, root_relative_squared_error: 1.058,
source: http://plato.asu.edu/ftp/solvable.html authors: Rolf-David Bergdoll PAR10 performances of modern solvers on the solvable instances of MIPLIB2010. http://miplib.zib.de/ The algorithm runtime…
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218 instances - 144 features - 5 classes - 0 missing values
source: http://plato.asu.edu/ftp/solvable.html authors: Rolf-David Bergdoll PAR10 performances of modern solvers on the solvable instances of MIPLIB2010. http://miplib.zib.de/ The algorithm runtime…
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5356, kappa: -0.0041, kb_relative_information_score: -0.5581, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6353, predictive_accuracy: 0.4987, prior_entropy: 0.7916, recall: 0.4987, relative_absolute_error: 1.3809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.695, kappa: 0.0953, kb_relative_information_score: 0.2745, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7488, predictive_accuracy: 0.7714, prior_entropy: 0.7916, recall: 0.7714, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4505, root_relative_squared_error: 1.058,
Automatically created ONNX flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.6472, kappa: 0.0024, kb_relative_information_score: -0.0637, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6382, predictive_accuracy: 0.6578, prior_entropy: 0.7916, recall: 0.6578, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.585, root_relative_squared_error: 1.3738,
Automatically created ONNX flow.
8 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.6481, kappa: 0.1256, kb_relative_information_score: 0.0197, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6456, predictive_accuracy: 0.688, prior_entropy: 0.8813, recall: 0.688, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9896,
Automatically created MXNet flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7248, kappa: 0.3343, kb_relative_information_score: 0.2625, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7215, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9389,
Automatically created MXNet flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7231, kappa: 0.3277, kb_relative_information_score: 0.2582, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7195, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7272, kappa: 0.3376, kb_relative_information_score: 0.2605, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7237, predictive_accuracy: 0.734, prior_entropy: 0.8813, recall: 0.734, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.728, kappa: 0.3395, kb_relative_information_score: 0.2578, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7246, predictive_accuracy: 0.735, prior_entropy: 0.8813, recall: 0.735, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.7419, kappa: 0.3738, kb_relative_information_score: 0.2767, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7389, predictive_accuracy: 0.748, prior_entropy: 0.8813, recall: 0.748, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.7371, kappa: 0.3586, kb_relative_information_score: 0.2765, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7341, predictive_accuracy: 0.746, prior_entropy: 0.8813, recall: 0.746, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.739, kappa: 0.3643, kb_relative_information_score: 0.2733, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.736, predictive_accuracy: 0.747, prior_entropy: 0.8813, recall: 0.747, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9314,
Automatically created MXNet flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - mean_absolute_error: 43.2309, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.0996, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 57.5702, root_relative_squared_error: 1.1137,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 44.0509, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.1205, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 57.9225, root_relative_squared_error: 1.1205,
Automatically created MXNet flow.
2 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.7349, kappa: 0.357, kb_relative_information_score: 0.2642, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7317, predictive_accuracy: 0.741, prior_entropy: 0.8813, recall: 0.741, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7478, kappa: 0.391, kb_relative_information_score: 0.268, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.752, prior_entropy: 0.8813, recall: 0.752, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.7354, kappa: 0.3576, kb_relative_information_score: 0.2607, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7322, predictive_accuracy: 0.742, prior_entropy: 0.8813, recall: 0.742, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7364, kappa: 0.3614, kb_relative_information_score: 0.2642, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7333, predictive_accuracy: 0.742, prior_entropy: 0.8813, recall: 0.742, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9394,
Automatically created MXNet flow.
4 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - mean_absolute_error: 47.5881, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2105, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 63.7465, root_relative_squared_error: 1.2332,
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.482, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - mean_absolute_error: 47.4166, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2061, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 63.439, root_relative_squared_error: 1.2273,
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7455, kappa: 0.375, kb_relative_information_score: 0.2151, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7449, predictive_accuracy: 0.758, prior_entropy: 0.8813, recall: 0.758, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7517, kappa: 0.3869, kb_relative_information_score: 0.2256, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7558, predictive_accuracy: 0.768, prior_entropy: 0.8813, recall: 0.768, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.791, mean_prior_absolute_error: 0.7841, number_of_instances: 100, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.995, root_mean_squared_error: 1.0097, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7506, kappa: 0.3902, kb_relative_information_score: 0.2071, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.76, prior_entropy: 0.8813, recall: 0.76, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8844,