fix confusion matrix for tsp weight

src/components/ConfusionMatrix/Table.jsx

@@ -27,7 +27,7 @@ function TableComponent({ confusionMatrix, headers }) {
       <Thead>
         <Tr>
           <Th colSpan={confusionMatrix.length + 2} textAlign="center">
-            Actual
+            PREDICT
           </Th>
         </Tr>
         <Tr>
@@ -53,7 +53,7 @@ function TableComponent({ confusionMatrix, headers }) {
                     //padding: '2px',
                   }}
                 >
-                  Predict
+                  ACTUAL
                 </Th>
               ) : (
                 <></>

src/components/ConfusionMatrix/index.jsx

@@ -50,19 +50,15 @@ function ConfusionMatrix({ tree, onChange, data, allClasses, categoryAttr, disab
   }
 
   useEffect(() => {
-    //console.log(allClasses);
+    console.log('use effect confusion matrix');
     let CM = buildArray(allClasses.length);
-    // console.log(CM);
-    // console.log(categoryAttr);
-    // console.log(tree);
-    // console.log(data);
 
     if (!disabled && tree !== null) {
       let prediction, clazz;
       for (let index = 0; index < data.length; index++) {
+        //for (let index = 100; index < 102; index++) {
         prediction = predict(tree, data[index]);
         clazz = data[index][categoryAttr];
-        //console.log(prediction, clazz);
 
         if (prediction === clazz) {
           CM[allClasses.indexOf(clazz)][allClasses.indexOf(clazz)]++;
@@ -74,9 +70,8 @@ function ConfusionMatrix({ tree, onChange, data, allClasses, categoryAttr, disab
       let tmpAccuracy = handleAccuracy(CM);
       setAccuracy(tmpAccuracy);
       onChange(tmpAccuracy);
-      //console.log(CM);
     }
-  }, [tree, disabled, allClasses, categoryAttr, data]);
+  }, [tree, disabled, allClasses, categoryAttr, data, onChange]);
 
   function buildArray(lenght) {
     let arr = [];

src/components/Navigation/index.jsx

@@ -233,7 +233,7 @@ function Navigation({ onPrepareConfig }) {
           <WrapItem>
             <FormControl id="entropy" width="auto">
               <FormHelperText mb={2} mt={0}>
-                Entropy threshold
+                Entropy thres.
               </FormHelperText>
               <Box>
                 <FormControlNumberInput

src/utils/predict.js

@@ -1,29 +1,13 @@
 export function predict(tree, item) {
   var attr1, attr2, value, predicate, pivot, match;
+
   // Traversing tree from the root to leaf
   while (true) {
-    if (tree?.category) {
+    if (tree.category) {
       // only leafs contains predicted category
       return tree.category;
     }
-    // console.log(
-    //   tree.predicateName,
-    //   tree.weight,
-    //   tree.predicateName === '>=',
-    //   tree.predicateName === '==',
-    //   tree.predicateName === '<'
-    // );
-    if (tree.weight) {
-      attr1 = tree.attr2;
-      attr2 = tree.pivot;
-      value = item[attr1];
-      pivot = item[attr2];
 
-      predicate = predicates['w'];
-      match = predicate(value, pivot, tree.weight);
-
-      // console.log('predict - waga', match);
-    }
     if (tree.predicateName === '>=' || tree.predicateName === '==') {
       attr1 = tree.attr2;
       value = item[attr1];
@@ -31,18 +15,30 @@ export function predict(tree, item) {
       predicate = predicates[tree.predicateName];
       match = predicate(value, pivot);
 
-      // console.log('predict - c45', match);
+      //console.log('predict - c45', match);
     }
     if (tree.predicateName === '<') {
       attr1 = tree.attr2;
       attr2 = tree.pivot;
-      value = item[attr1];
-      pivot = item[attr2];
+      value = parseFloat(item[attr1]);
+      pivot = parseFloat(item[attr2]);
 
       predicate = predicates[tree.predicateName];
       match = predicate(value, pivot);
 
-      // console.log('predict - tsp', match);
+      //console.log('predict - tsp', match);
+    }
+    if (tree.weight) {
+      console.log(tree.weight);
+      attr1 = tree.attr2;
+      attr2 = tree.pivot;
+      value = parseFloat(item[attr1]);
+      pivot = parseFloat(item[attr2]);
+
+      predicate = predicates['w'];
+      match = predicate(value, pivot, tree.weight);
+
+      //console.log('predict - waga', match, value + '<', pivot * tree.weight);
     }
 
     // move to one of subtrees
@@ -64,6 +60,7 @@ var predicates = {
     return a < b;
   },
   w: function (a, b, w) {
+    //console.log(a < w * b, a, w * b);
     return a < w * b;
   },
 };