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Adrian-Stefan Mares
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Adrian-Stefan's runs

Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9835, kappa: 0.9816, kb_relative_information_score: 0.981, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 3.3198, recall: 0.9835, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1683,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.959, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 3.3198, recall: 0.9654, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.2422,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.bdb1f068(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.bdb1f068(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.bdb1f068(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.b8e51ca7(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.625, kappa: 0.0806, kb_relative_information_score: 0.058, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6522, predictive_accuracy: 0.701, prior_entropy: 0.8813, recall: 0.701, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9734,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.abab5292(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 43.8215, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.1147, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 57.2302, root_relative_squared_error: 1.1072,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.80d08389(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7282, kappa: 0.3387, kb_relative_information_score: 0.2595, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7247, predictive_accuracy: 0.736, prior_entropy: 0.8813, recall: 0.736, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9474,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.6916f22f(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7397, kappa: 0.3669, kb_relative_information_score: 0.274, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7366, predictive_accuracy: 0.747, prior_entropy: 0.8813, recall: 0.747, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9356,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.48d29254d6fcde22(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, kb_relative_information_score: 0.2316, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.546, root_relative_squared_error: 1.1916,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.e61660bb329d3407(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 48.453, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2325, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 64.942, root_relative_squared_error: 1.2563,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.9d1dba7588ebb40a(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.bcd4e4eef3744c88(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 49.0363, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2473, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 65.3439, root_relative_squared_error: 1.2641,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.3004bddd(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7426, kappa: 0.3672, kb_relative_information_score: 0.2127, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7423, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8847,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.c43a9103(1) on task Supervised Regression on data set fri_c3_100_25
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7647, mean_prior_absolute_error: 0.7841, number_of_instances: 100, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.995, root_mean_squared_error: 0.9966, root_relative_squared_error: 1.0016,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.3004bddd(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7463, kappa: 0.3776, kb_relative_information_score: 0.2116, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.758, prior_entropy: 0.8813, recall: 0.758, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8873,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.3004bddd(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.748, kappa: 0.3814, kb_relative_information_score: 0.2113, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7473, predictive_accuracy: 0.76, prior_entropy: 0.8813, recall: 0.76, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8846,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.abab5292(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 44.7605, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.1385, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 58.4481, root_relative_squared_error: 1.1307,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.72d97ee9(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.362eec6a(1) on task Supervised Classification on data set blood-transfusion-service-center
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.933424(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.18b5416(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.b5e764b2(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.b5e764b2(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.b5e764b2(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.b5e764b2(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.b5e764b2(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.b5e764b2(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.d2a63ca2(1) on task Supervised Regression on data set cholesterol
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.d2a63ca2(1) on task Supervised Regression on data set cholesterol
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.cce30325(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.cce30325(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.cce30325(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.cce30325(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.e29c6386fba8afd0(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.cea38ff1bee9c023(1) on task Supervised Regression on data set cholesterol
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,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.4c40618981dbad47(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.afabbd5fc39f30c1(1) on task Supervised Regression on data set cholesterol
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,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.3004bddd(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.3004bddd(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.c43a9103(1) on task Supervised Regression on data set fri_c3_100_25
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,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.3004bddd(1) on task Supervised Classification on data set credit-g
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,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.3004bddd(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7458, kappa: 0.3769, kb_relative_information_score: 0.2046, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7444, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8859,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.c43a9103(1) on task Supervised Regression on data set fri_c3_100_25
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.779, mean_prior_absolute_error: 0.7841, number_of_instances: 100, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.995, root_mean_squared_error: 1.0196, root_relative_squared_error: 1.0248,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.3004bddd(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7457, kappa: 0.3724, kb_relative_information_score: 0.2172, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.762, prior_entropy: 0.8813, recall: 0.762, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8819,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.abab5292(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 46.7045, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.188, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 59.9368, root_relative_squared_error: 1.1595,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.7313, kappa: 0.3448, kb_relative_information_score: 0.2612, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.728, predictive_accuracy: 0.74, prior_entropy: 0.8813, recall: 0.74, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9437,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7387, kappa: 0.3676, kb_relative_information_score: 0.2646, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7358, predictive_accuracy: 0.744, prior_entropy: 0.8813, recall: 0.744, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9353,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.abab5292(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 43.6284, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.1097, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 56.8712, root_relative_squared_error: 1.1002,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.735, kappa: 0.359, kb_relative_information_score: 0.2645, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.732, predictive_accuracy: 0.74, prior_entropy: 0.8813, recall: 0.74, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9409,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.abab5292(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 102.9163, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 2.6178, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 147.0281, root_relative_squared_error: 2.8443,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.abab5292(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 44.3078, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.127, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 57.6023, root_relative_squared_error: 1.1144,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.abab5292(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 45.7754, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.1644, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 59.3861, root_relative_squared_error: 1.1489,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 41.0204, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.0434, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 55.3348, root_relative_squared_error: 1.0705,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7367, kappa: 0.3626, kb_relative_information_score: 0.258, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7337, predictive_accuracy: 0.742, prior_entropy: 0.8813, recall: 0.742, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9483,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 43.2556, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.1003, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 55.6863, root_relative_squared_error: 1.0773,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 46.1839, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.1747, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 58.6393, root_relative_squared_error: 1.1344,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.7422, kappa: 0.3768, kb_relative_information_score: 0.2682, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7395, predictive_accuracy: 0.747, prior_entropy: 0.8813, recall: 0.747, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9379,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 40.9917, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.0427, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 53.8119, root_relative_squared_error: 1.041,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.7331, kappa: 0.3533, kb_relative_information_score: 0.262, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7299, predictive_accuracy: 0.739, prior_entropy: 0.8813, recall: 0.739, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9392,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7244, kappa: 0.333, kb_relative_information_score: 0.259, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7211, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9408,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.c43a9103(1) on task Supervised Regression on data set fri_c3_100_25
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7805, mean_prior_absolute_error: 0.7841, number_of_instances: 100, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.995, root_mean_squared_error: 0.999, root_relative_squared_error: 1.004,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.c43a9103(1) on task Supervised Regression on data set fri_c3_100_25
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7691, mean_prior_absolute_error: 0.7841, number_of_instances: 100, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.995, root_mean_squared_error: 0.9974, root_relative_squared_error: 1.0024,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.c43a9103(1) on task Supervised Regression on data set fri_c3_100_25
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7781, mean_prior_absolute_error: 0.7841, number_of_instances: 100, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.995, root_mean_squared_error: 1.0077, root_relative_squared_error: 1.0128,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9915, kappa: 0.9906, kb_relative_information_score: 0.9914, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 3.3198, recall: 0.9915, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0371, root_relative_squared_error: 0.1237,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.7418, kappa: 0.3719, kb_relative_information_score: 0.273, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7388, predictive_accuracy: 0.749, prior_entropy: 0.8813, recall: 0.749, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.9277,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.732, kappa: 0.3474, kb_relative_information_score: 0.2882, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7286, predictive_accuracy: 0.74, prior_entropy: 0.8813, recall: 0.74, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9695,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.f4ce7786(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.7344, kappa: 0.3537, kb_relative_information_score: 0.2747, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7311, predictive_accuracy: 0.742, prior_entropy: 0.8813, recall: 0.742, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9286,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.f4ce7786(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.7442, kappa: 0.38, kb_relative_information_score: 0.2718, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7413, predictive_accuracy: 0.75, prior_entropy: 0.8813, recall: 0.75, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9334,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.f4ce7786(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7635, kappa: 0.428, kb_relative_information_score: 0.2101, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7612, predictive_accuracy: 0.768, prior_entropy: 0.8813, recall: 0.768, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8871,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.f4ce7786(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7473, kappa: 0.3844, kb_relative_information_score: 0.2517, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7446, predictive_accuracy: 0.755, prior_entropy: 0.8813, recall: 0.755, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8955,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.f4ce7786(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7509, kappa: 0.3891, kb_relative_information_score: 0.2556, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7499, predictive_accuracy: 0.762, prior_entropy: 0.8813, recall: 0.762, relative_absolute_error: 0.7278, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8962,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.744, kappa: 0.3763, kb_relative_information_score: 0.261, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7412, predictive_accuracy: 0.752, prior_entropy: 0.8813, recall: 0.752, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8925,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7423, kappa: 0.3699, kb_relative_information_score: 0.2558, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7399, predictive_accuracy: 0.752, prior_entropy: 0.8813, recall: 0.752, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8934,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7489, kappa: 0.3905, kb_relative_information_score: 0.2466, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7461, predictive_accuracy: 0.755, prior_entropy: 0.8813, recall: 0.755, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8986,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.a3fc48b3(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7418, kappa: 0.3719, kb_relative_information_score: 0.2478, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7388, predictive_accuracy: 0.749, prior_entropy: 0.8813, recall: 0.749, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8974,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7521, kappa: 0.3946, kb_relative_information_score: 254.2495, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7501, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8947,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.7361, kappa: 0.3574, kb_relative_information_score: 247.5606, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7329, predictive_accuracy: 0.744, prior_entropy: 0.8818, recall: 0.744, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.9065,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.b5ab24e63b447fae(1) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9289, kappa: 0.9211, kb_relative_information_score: 63711.8837, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.929, predictive_accuracy: 0.929, prior_entropy: 3.3198, recall: 0.929, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.3487,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.e88dfaf8998b5af(1) on task Supervised Regression on data set cholesterol
0 likes - 0 downloads - 0 reach - mean_absolute_error: 49.4371, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2575, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 65.7143, root_relative_squared_error: 1.2713,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.b5ab24e63b447fae(1) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9135, kappa: 0.904, kb_relative_information_score: 62065.0878, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9136, predictive_accuracy: 0.9137, prior_entropy: 3.3198, recall: 0.9137, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3861,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7429, kappa: 0.3699, kb_relative_information_score: 263.0704, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7411, predictive_accuracy: 0.754, prior_entropy: 0.8818, recall: 0.754, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8947,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential.1a64181f(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.739, kappa: 0.3643, kb_relative_information_score: 253.1012, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.736, predictive_accuracy: 0.747, prior_entropy: 0.8818, recall: 0.747, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.896,
Adrian-Stefan Mares 5 years ago
ran flow mxnet.gluon.nn.basic_layers.HybridSequential(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7424, kappa: 0.3744, kb_relative_information_score: 245.8743, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7394, predictive_accuracy: 0.749, prior_entropy: 0.8818, recall: 0.749, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8959,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.c43a9103(1) on task Supervised Regression on data set fri_c3_100_25
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7908, mean_prior_absolute_error: 0.7841, number_of_instances: 100, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.995, root_mean_squared_error: 1.004, root_relative_squared_error: 1.009,
Adrian-Stefan Mares 5 years ago
ran flow keras.engine.sequential.Sequential.d24c86cb(1) on task Supervised Regression on data set liver-disorders
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.8655, mean_prior_absolute_error: 2.623, number_of_instances: 345, relative_absolute_error: 1.0924, root_mean_prior_squared_error: 3.333, root_mean_squared_error: 4.2212, root_relative_squared_error: 1.2665,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.76a66495193bbf33(1) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, kappa: 0.5816, kb_relative_information_score: 13667.9417, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.6237, prior_entropy: 3.3198, recall: 0.6237, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.9347,
Adrian-Stefan Mares 5 years ago
ran flow torch.nn.modules.container.Sequential.76a66495193bbf33(1) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, kappa: 0.6004, kb_relative_information_score: 9888.0891, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.6407, prior_entropy: 3.3198, recall: 0.6407, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.9574,