Run
10595153

Run 10595153

Task 362070 (Supervised Classification) IndoorScenes Uploaded 02-09-2024 by Taniya Das
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  • openml-python Torch_2.1.2_cu121.
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Flow

torch.nn.Model2.f6f4825e90808d59(1)Automatically created pytorch flow.
torch.nn.Conv2d.ed19ed70b946a938(1)_dilation[1, 1]
torch.nn.Conv2d.ed19ed70b946a938(1)_groups1
torch.nn.Conv2d.ed19ed70b946a938(1)_in_channels3
torch.nn.Conv2d.ed19ed70b946a938(1)_kernel_size[5, 5]
torch.nn.Conv2d.ed19ed70b946a938(1)_out_channels6
torch.nn.Conv2d.ed19ed70b946a938(1)_padding[0, 0]
torch.nn.Conv2d.ed19ed70b946a938(1)_padding_mode"zeros"
torch.nn.Conv2d.ed19ed70b946a938(1)_stride[1, 1]
torch.nn.Conv2d.f1256257ae91e3d8(1)_dilation[1, 1]
torch.nn.Conv2d.f1256257ae91e3d8(1)_groups1
torch.nn.Conv2d.f1256257ae91e3d8(1)_in_channels6
torch.nn.Conv2d.f1256257ae91e3d8(1)_kernel_size[5, 5]
torch.nn.Conv2d.f1256257ae91e3d8(1)_out_channels16
torch.nn.Conv2d.f1256257ae91e3d8(1)_padding[0, 0]
torch.nn.Conv2d.f1256257ae91e3d8(1)_padding_mode"zeros"
torch.nn.Conv2d.f1256257ae91e3d8(1)_stride[1, 1]
torch.nn.Linear.efc6010a6bb0c3b2(1)_in_features13456
torch.nn.Linear.efc6010a6bb0c3b2(1)_out_features120
torch.nn.Linear.4218298b357636cb(1)_in_features120
torch.nn.Linear.4218298b357636cb(1)_out_features84
torch.nn.Linear.820e70c594fb4e92(1)_in_features84
torch.nn.Linear.820e70c594fb4e92(1)_out_features67
torch.nn.MaxPool2d.760c34bc1bf101a2(1)_ceil_modefalse
torch.nn.MaxPool2d.760c34bc1bf101a2(1)_dilation1
torch.nn.MaxPool2d.760c34bc1bf101a2(1)_kernel_size2
torch.nn.MaxPool2d.760c34bc1bf101a2(1)_padding0
torch.nn.MaxPool2d.760c34bc1bf101a2(1)_return_indicesfalse
torch.nn.MaxPool2d.760c34bc1bf101a2(1)_stride2

Result files

xml
Description

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

onnx
Onnx model

arff
Predictions

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

16 Evaluation measures

Area under ROC curve
0.5011 ± 0.0048
Per class
Cross-validation details (3-fold Crossvalidation)
Kappa
0.0015 ± 0.0015
Cross-validation details (3-fold Crossvalidation)
KB relative information score
0.0286 ± 0.0009
Cross-validation details (3-fold Crossvalidation)
Mean absolute error
0.0292 ± 0
Cross-validation details (3-fold Crossvalidation)
Mean prior absolute error
0.0292 ± 0
Cross-validation details (3-fold Crossvalidation)
Weighted recall
0.041 ± 0.0037
Cross-validation details (3-fold Crossvalidation)
Number of instances
15620
Per class
Cross-validation details (3-fold Crossvalidation)
Predictive accuracy
0.041 ± 0.0037
Cross-validation details (3-fold Crossvalidation)
Prior entropy
5.7539 ± 0.0007
Cross-validation details (3-fold Crossvalidation)
Relative absolute error
1.0013 ± 0.0007
Cross-validation details (3-fold Crossvalidation)
Root mean prior squared error
0.1208 ± 0
Cross-validation details (3-fold Crossvalidation)
Root mean squared error
0.121 ± 0
Cross-validation details (3-fold Crossvalidation)
Root relative squared error
1.0016 ± 0.0002
Cross-validation details (3-fold Crossvalidation)
Unweighted recall
0.0155 ± 0.0006
Cross-validation details (3-fold Crossvalidation)