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