add caculate accuracy

01.train.ipynb

@@ -1,3 +1,3 @@
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-oid sha256:c65f38d91762e7167ef17d7cbdaf71547a323a9d485833e7acf62550674ea840
-size 863658
+oid sha256:36ddd3d8af13bf3a46103a3c5a7332abca6bac81a162ab1a57bc8a2931abb118
+size 861996

02.predict.ipynb

@@ -1,3 +1,3 @@
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-oid sha256:2ba3e38fac960f3049906d20a4d2255789415028b47a25c62fe4505bebccdddf
-size 3375914
+oid sha256:ca08aad39be4a0030043beda8d0858753670f3c59086441f184c527e1cf27e77
+size 3376610

ThuanHoa/DataTest/ThuanHoa_DKS_Kappa.cpg

@@ -0,0 +1 @@
+UTF-8

ThuanHoa/DataTest/ThuanHoa_DKS_Kappa.prj

@@ -0,0 +1 @@
+PROJCS["WGS_1984_UTM_Zone_48N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",105.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]

ThuanHoa/DataTest/ThuanHoa_DKS_Kappa.qmd

@@ -0,0 +1,44 @@
+<!DOCTYPE qgis PUBLIC 'http://mrcc.com/qgis.dtd' 'SYSTEM'>
+<qgis version="3.30.0-'s-Hertogenbosch">
+  <identifier></identifier>
+  <parentidentifier></parentidentifier>
+  <language></language>
+  <type>dataset</type>
+  <title></title>
+  <abstract></abstract>
+  <contact>
+    <name></name>
+    <organization></organization>
+    <position></position>
+    <voice></voice>
+    <fax></fax>
+    <email></email>
+    <role></role>
+  </contact>
+  <links/>
+  <dates/>
+  <fees></fees>
+  <encoding></encoding>
+  <crs>
+    <spatialrefsys nativeFormat="Wkt">
+      <wkt>PROJCRS["WGS 84 / UTM zone 48N",BASEGEOGCRS["WGS 84",ENSEMBLE["World Geodetic System 1984 ensemble",MEMBER["World Geodetic System 1984 (Transit)"],MEMBER["World Geodetic System 1984 (G730)"],MEMBER["World Geodetic System 1984 (G873)"],MEMBER["World Geodetic System 1984 (G1150)"],MEMBER["World Geodetic System 1984 (G1674)"],MEMBER["World Geodetic System 1984 (G1762)"],MEMBER["World Geodetic System 1984 (G2139)"],ELLIPSOID["WGS 84",6378137,298.257223563,LENGTHUNIT["metre",1]],ENSEMBLEACCURACY[2.0]],PRIMEM["Greenwich",0,ANGLEUNIT["degree",0.0174532925199433]],ID["EPSG",4326]],CONVERSION["UTM zone 48N",METHOD["Transverse Mercator",ID["EPSG",9807]],PARAMETER["Latitude of natural origin",0,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8801]],PARAMETER["Longitude of natural origin",105,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8802]],PARAMETER["Scale factor at natural origin",0.9996,SCALEUNIT["unity",1],ID["EPSG",8805]],PARAMETER["False easting",500000,LENGTHUNIT["metre",1],ID["EPSG",8806]],PARAMETER["False northing",0,LENGTHUNIT["metre",1],ID["EPSG",8807]]],CS[Cartesian,2],AXIS["(E)",east,ORDER[1],LENGTHUNIT["metre",1]],AXIS["(N)",north,ORDER[2],LENGTHUNIT["metre",1]],USAGE[SCOPE["Engineering survey, topographic mapping."],AREA["Between 102°E and 108°E, northern hemisphere between equator and 84°N, onshore and offshore. Cambodia. China. Indonesia. Laos. Malaysia - West Malaysia. Mongolia. Russian Federation. Singapore. Thailand. Vietnam."],BBOX[0,102,84,108]],ID["EPSG",32648]]</wkt>
+      <proj4>+proj=utm +zone=48 +datum=WGS84 +units=m +no_defs</proj4>
+      <srsid>3132</srsid>
+      <srid>32648</srid>
+      <authid>EPSG:32648</authid>
+      <description>WGS 84 / UTM zone 48N</description>
+      <projectionacronym>utm</projectionacronym>
+      <ellipsoidacronym>EPSG:7030</ellipsoidacronym>
+      <geographicflag>false</geographicflag>
+    </spatialrefsys>
+  </crs>
+  <extent>
+    <spatial miny="0" minz="0" maxz="0" crs="EPSG:32648" minx="0" maxy="0" dimensions="2" maxx="0"/>
+    <temporal>
+      <period>
+        <start></start>
+        <end></end>
+      </period>
+    </temporal>
+  </extent>
+</qgis>

new_import.py

@@ -317,4 +317,38 @@ def save_result(result, HT_MAP):
         # cbar.ax.set_yticklabels(labels)
         # plt.title(f'{HT_MAP[k]["name"]}')
         # plt.axis('off')
-        # plt.show()
+        # plt.show()
+        
+
+def accuracy_test(test, data_array):
+    # cấu hình nhãn dữ liệu
+    label_mapping = {
+        "Lua tom": "0",
+        "Lua": "1",
+        "CHN": "2",
+        "CLN": "3",
+        "TS": "4",
+        "Song": "5",
+        "Dat xay dung": "6",
+        "Rung": "7"
+    }
+
+    chk = []
+    pred = []
+    dd = []
+    for idx, point in test.iterrows():
+        label = point.LULC
+        predict = data_array.sel(x=point.geometry.x, y=point.geometry.y, method='nearest').values
+        pred.append(label_mapping[label])
+        dd.append(str(predict))
+        chk.append(predict == int(label_mapping[label]))
+    test["code"] = pred
+    test["dd"] = dd
+    test["check"] = chk
+    path = "ThuanHoa/TestAccuracy"
+    if not os.path.exists(path):
+        os.mkdir(path)
+    test.to_file(f"{path}/result.shp")
+    
+    percentage_true = np.mean(chk) * 100
+    print(f"độ chính xác: {percentage_true:.2f}%")