Run
10417579

Run 10417579

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 18-11-2019 by prabhant singh
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Flow

onnx.onnx_pb2.ModelProto.cd7fdaa3(1)Automatically created ONNX flow.
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onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_initializer_0_batchnorm0_gamma{"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_gamma"}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_initializer_1_batchnorm0_beta{"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_beta"}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_initializer_2_batchnorm0_moving_mean{"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_moving_mean"}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_initializer_3_batchnorm0_moving_var{"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_moving_var"}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_initializer_4_fullyconnected0_weight{"dataType": "FLOAT", "dims": ["1024", "4"], "name": "fullyconnected0_weight"}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_initializer_5_fullyconnected0_bias{"dataType": "FLOAT", "dims": ["1024"], "name": "fullyconnected0_bias"}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_initializer_6_fullyconnected1_weight{"dataType": "FLOAT", "dims": ["2", "1024"], "name": "fullyconnected1_weight"}
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onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_input_0_data{"name": "data", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "64"}, {"dimValue": "4"}]}}}}
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onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_input_2_batchnorm0_beta{"name": "batchnorm0_beta", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_input_3_batchnorm0_moving_mean{"name": "batchnorm0_moving_mean", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_input_4_batchnorm0_moving_var{"name": "batchnorm0_moving_var", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_input_5_fullyconnected0_weight{"name": "fullyconnected0_weight", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "1024"}, {"dimValue": "4"}]}}}}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_input_6_fullyconnected0_bias{"name": "fullyconnected0_bias", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "1024"}]}}}}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_input_7_fullyconnected1_weight{"name": "fullyconnected1_weight", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "2"}, {"dimValue": "1024"}]}}}}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_input_8_fullyconnected1_bias{"name": "fullyconnected1_bias", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "2"}]}}}}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_namemxnet_converted_model
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onnx.onnx_pb2.ModelProto.cd7fdaa3(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"]}
onnx.onnx_pb2.ModelProto.cd7fdaa3(1)_node_2_activation0{"input": ["fullyconnected0"], "name": "activation0", "opType": "Relu", "output": ["activation0"]}
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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

0.7213 ± 0.0563
Per class
Cross-validation details (10-fold Crossvalidation)
0.6952 ± 0.0416
Per class
Cross-validation details (10-fold Crossvalidation)
0.0947 ± 0.1181
Cross-validation details (10-fold Crossvalidation)
0.2809 ± 0.0737
Cross-validation details (10-fold Crossvalidation)
0.2361 ± 0.0212
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)
0.733 ± 0.1084
Per class
Cross-validation details (10-fold Crossvalidation)
0.7687 ± 0.0248
Cross-validation details (10-fold Crossvalidation)
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.7687 ± 0.0248
Per class
Cross-validation details (10-fold Crossvalidation)
0.6503 ± 0.057
Cross-validation details (10-fold Crossvalidation)
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.4379 ± 0.0454
Cross-validation details (10-fold Crossvalidation)
1.0282 ± 0.1045
Cross-validation details (10-fold Crossvalidation)