Run
10228735

Run 10228735

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 20-06-2019 by Veselin Minev
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Flow

onnx_ml_pb2.ModelProto.2bd579db(1)Automatically created ONNX flow.
onnx_ml_pb2.ModelProto.2bd579db(1)_backend{"irVersion": "3", "opsetImport": [{"version": "7"}]}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_0_batchnorm0_gamma{"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_gamma"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_1_batchnorm0_beta{"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_beta"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_2_batchnorm0_moving_mean{"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_moving_mean"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_3_batchnorm0_moving_var{"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_moving_var"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_4_fullyconnected0_weight{"dataType": "FLOAT", "dims": ["1024", "4"], "name": "fullyconnected0_weight"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_5_fullyconnected0_bias{"dataType": "FLOAT", "dims": ["1024"], "name": "fullyconnected0_bias"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_6_fullyconnected1_weight{"dataType": "FLOAT", "dims": ["2", "1024"], "name": "fullyconnected1_weight"}
onnx_ml_pb2.ModelProto.2bd579db(1)_initializer_7_fullyconnected1_bias{"dataType": "FLOAT", "dims": ["2"], "name": "fullyconnected1_bias"}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_0_data{"name": "data", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "64"}, {"dimValue": "4"}]}}}}
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onnx_ml_pb2.ModelProto.2bd579db(1)_input_2_batchnorm0_beta{"name": "batchnorm0_beta", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_3_batchnorm0_moving_mean{"name": "batchnorm0_moving_mean", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}}
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onnx_ml_pb2.ModelProto.2bd579db(1)_input_6_fullyconnected0_bias{"name": "fullyconnected0_bias", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "1024"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_7_fullyconnected1_weight{"name": "fullyconnected1_weight", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "2"}, {"dimValue": "1024"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_input_8_fullyconnected1_bias{"name": "fullyconnected1_bias", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "2"}]}}}}
onnx_ml_pb2.ModelProto.2bd579db(1)_namemxnet_converted_model
onnx_ml_pb2.ModelProto.2bd579db(1)_node_0_batchnorm0{"attribute": [{"f": 0.0010000000474974513, "name": "epsilon", "type": "FLOAT"}, {"f": 0.8999999761581421, "name": "momentum", "type": "FLOAT"}, {"i": "0", "name": "spatial", "type": "INT"}], "input": ["data", "batchnorm0_gamma", "batchnorm0_beta", "batchnorm0_moving_mean", "batchnorm0_moving_var"], "name": "batchnorm0", "opType": "BatchNormalization", "output": ["batchnorm0"]}
onnx_ml_pb2.ModelProto.2bd579db(1)_node_1_fullyconnected0{"attribute": [{"f": 1.0, "name": "alpha", "type": "FLOAT"}, {"f": 1.0, "name": "beta", "type": "FLOAT"}, {"i": "0", "name": "transA", "type": "INT"}, {"i": "1", "name": "transB", "type": "INT"}], "input": ["batchnorm0", "fullyconnected0_weight", "fullyconnected0_bias"], "name": "fullyconnected0", "opType": "Gemm", "output": ["fullyconnected0"]}
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onnx_ml_pb2.ModelProto.2bd579db(1)_node_5_softmax{"attribute": [{"i": "1", "name": "axis", "type": "INT"}], "input": ["fullyconnected1"], "name": "softmax", "opType": "Softmax", "output": ["softmax"]}
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Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

0.705 ± 0.0512
Per class
Cross-validation details (10-fold Crossvalidation)
0.695 ± 0.0474
Per class
Cross-validation details (10-fold Crossvalidation)
0.0953 ± 0.1289
Cross-validation details (10-fold Crossvalidation)
0.2745 ± 0.068
Cross-validation details (10-fold Crossvalidation)
0.2358 ± 0.0206
Cross-validation details (10-fold Crossvalidation)
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
748
Per class
Cross-validation details (10-fold Crossvalidation)
0.7488 ± 0.1246
Per class
Cross-validation details (10-fold Crossvalidation)
0.7714 ± 0.0292
Cross-validation details (10-fold Crossvalidation)
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.7714 ± 0.0292
Per class
Cross-validation details (10-fold Crossvalidation)
0.6495 ± 0.0549
Cross-validation details (10-fold Crossvalidation)
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.4505 ± 0.0411
Cross-validation details (10-fold Crossvalidation)
1.058 ± 0.0941
Cross-validation details (10-fold Crossvalidation)