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README.md
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license: apache-2.0
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datasets:
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- jonathan-roberts1/NWPU-RESISC45
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license: apache-2.0
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datasets:
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- jonathan-roberts1/NWPU-RESISC45
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---
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```py
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Classification Report:
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precision recall f1-score support
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airplane 0.9830 0.9900 0.9865 700
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airport 0.9461 0.9529 0.9495 700
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baseball diamond 0.9802 0.9886 0.9844 700
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basketball court 0.9516 0.9271 0.9392 700
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beach 0.9914 0.9900 0.9907 700
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bridge 0.9730 0.9771 0.9751 700
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chaparral 0.9957 0.9986 0.9971 700
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church 0.7949 0.8971 0.8430 700
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circular farmland 0.9914 0.9914 0.9914 700
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cloud 0.9957 0.9871 0.9914 700
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commercial area 0.9231 0.8229 0.8701 700
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dense residential 0.9355 0.8914 0.9129 700
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desert 0.9821 0.9414 0.9613 700
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forest 0.9652 0.9514 0.9583 700
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freeway 0.9344 0.9571 0.9457 700
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golf course 0.9759 0.9843 0.9801 700
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ground track field 0.9623 0.9857 0.9739 700
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harbor 0.9885 0.9843 0.9864 700
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industrial area 0.9505 0.9043 0.9268 700
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intersection 0.9855 0.9686 0.9769 700
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island 0.9871 0.9829 0.9850 700
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lake 0.9440 0.9629 0.9533 700
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meadow 0.9564 0.9400 0.9481 700
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medium residential 0.8602 0.9314 0.8944 700
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mobile home park 0.9610 0.9500 0.9555 700
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mountain 0.9388 0.9429 0.9408 700
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overpass 0.9614 0.9614 0.9614 700
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palace 0.8455 0.8286 0.8369 700
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parking lot 0.9899 0.9757 0.9827 700
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railway 0.9407 0.9071 0.9236 700
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railway station 0.9104 0.9143 0.9123 700
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rectangular farmland 0.9572 0.9271 0.9419 700
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river 0.9281 0.9586 0.9431 700
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roundabout 0.9914 0.9871 0.9893 700
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runway 0.9669 0.9586 0.9627 700
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sea ice 0.9957 0.9943 0.9950 700
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ship 0.9558 0.9886 0.9719 700
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snowberg 0.9886 0.9900 0.9893 700
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sparse residential 0.9238 0.9700 0.9463 700
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stadium 0.9716 0.9757 0.9736 700
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storage tank 0.9787 0.9829 0.9808 700
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tennis court 0.9326 0.9486 0.9405 700
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terrace 0.9372 0.9586 0.9477 700
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thermal power station 0.9482 0.9671 0.9576 700
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wetland 0.9444 0.8986 0.9209 700
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accuracy 0.9532 31500
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macro avg 0.9538 0.9532 0.9532 31500
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weighted avg 0.9538 0.9532 0.9532 31500
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```
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