rel : document updated for version 4.1

Document/Document_files/cm1.html

@@ -21,8 +21,7 @@ <h2>Dataset Type : </h2>
 <li>Balanced</li>
 </ul>
 <p><span style="color:red;">Note 1</span> : Recommended statistics for this type of classification highlighted in <span style="color :aqua;">aqua</span></p>
-<p><span style="color:red;">Note 2</span> : The recommender system assumes that the input is the result of classification over the whole data rather than just a part of it.
-If the confusion matrix is the result of test data classification, the recommendation is not valid.</p>
+<p><span style="color:red;">Note 2</span> : The recommendation system assumes the input is the result of classification over the entire dataset, not just a subset. If the confusion matrix is based on test data classification, the recommendation may not be valid.</p>
 <h2>Confusion Matrix : </h2>
 <table>
 <tr style="text-align:center;">
@@ -787,6 +786,6 @@ <h2>Class Statistics : </h2>
 <td style="border:1px solid black;padding:4px;border-collapse: collapse;text-align:left;">Similarity index</td>
 </tr>
 </table>
-<p style="text-align:center;border-top:1px solid black;">Generated By <a href="http://www.pycm.io" style="text-decoration:none;color:red;">PyCM</a> Version 4.0</p>
+<p style="text-align:center;border-top:1px solid black;">Generated By <a href="http://www.pycm.io" style="text-decoration:none;color:red;">PyCM</a> Version 4.1</p>
 </body>
 </html>

Document/Document_files/cm1.obj

@@ -1 +1 @@
-{"Predict-Vector": null, "Prob-Vector": null, "Imbalanced": false, "Matrix": [["L1", [["L2", 0], ["L3", 2], ["L1", 3]]], ["L2", [["L2", 1], ["L3", 1], ["L1", 0]]], ["L3", [["L2", 2], ["L3", 3], ["L1", 0]]]], "Digit": 5, "Transpose": true, "Actual-Vector": null, "Sample-Weight": null}
+{"Actual-Vector": null, "Predict-Vector": null, "Prob-Vector": null, "Transpose": true, "Digit": 5, "Sample-Weight": null, "Matrix": [["L1", [["L1", 3], ["L2", 0], ["L3", 2]]], ["L2", [["L1", 0], ["L2", 1], ["L3", 1]]], ["L3", [["L1", 0], ["L2", 2], ["L3", 3]]]], "Imbalanced": false}

Document/Document_files/cm1_colored.html

@@ -21,8 +21,7 @@ <h2>Dataset Type : </h2>
 <li>Balanced</li>
 </ul>
 <p><span style="color:red;">Note 1</span> : Recommended statistics for this type of classification highlighted in <span style="color :aqua;">aqua</span></p>
-<p><span style="color:red;">Note 2</span> : The recommender system assumes that the input is the result of classification over the whole data rather than just a part of it.
-If the confusion matrix is the result of test data classification, the recommendation is not valid.</p>
+<p><span style="color:red;">Note 2</span> : The recommendation system assumes the input is the result of classification over the entire dataset, not just a subset. If the confusion matrix is based on test data classification, the recommendation may not be valid.</p>
 <h2>Confusion Matrix : </h2>
 <table>
 <tr style="text-align:center;">
@@ -787,6 +786,6 @@ <h2>Class Statistics : </h2>
 <td style="border:1px solid black;padding:4px;border-collapse: collapse;text-align:left;">Similarity index</td>
 </tr>
 </table>
-<p style="text-align:center;border-top:1px solid black;">Generated By <a href="http://www.pycm.io" style="text-decoration:none;color:red;">PyCM</a> Version 4.0</p>
+<p style="text-align:center;border-top:1px solid black;">Generated By <a href="http://www.pycm.io" style="text-decoration:none;color:red;">PyCM</a> Version 4.1</p>
 </body>
 </html>

Document/Document_files/cm1_colored2.html

@@ -21,8 +21,7 @@ <h2>Dataset Type : </h2>
 <li>Balanced</li>
 </ul>
 <p><span style="color:red;">Note 1</span> : Recommended statistics for this type of classification highlighted in <span style="color :aqua;">aqua</span></p>
-<p><span style="color:red;">Note 2</span> : The recommender system assumes that the input is the result of classification over the whole data rather than just a part of it.
-If the confusion matrix is the result of test data classification, the recommendation is not valid.</p>
+<p><span style="color:red;">Note 2</span> : The recommendation system assumes the input is the result of classification over the entire dataset, not just a subset. If the confusion matrix is based on test data classification, the recommendation may not be valid.</p>
 <h2>Confusion Matrix : </h2>
 <table>
 <tr style="text-align:center;">
@@ -787,6 +786,6 @@ <h2>Class Statistics : </h2>
 <td style="border:1px solid black;padding:4px;border-collapse: collapse;text-align:left;">Similarity index</td>
 </tr>
 </table>
-<p style="text-align:center;border-top:1px solid black;">Generated By <a href="http://www.pycm.io" style="text-decoration:none;color:red;">PyCM</a> Version 4.0</p>
+<p style="text-align:center;border-top:1px solid black;">Generated By <a href="http://www.pycm.io" style="text-decoration:none;color:red;">PyCM</a> Version 4.1</p>
 </body>
 </html>

Document/Document_files/cm1_filtered.html

@@ -21,8 +21,7 @@ <h2>Dataset Type : </h2>
 <li>Balanced</li>
 </ul>
 <p><span style="color:red;">Note 1</span> : Recommended statistics for this type of classification highlighted in <span style="color :aqua;">aqua</span></p>
-<p><span style="color:red;">Note 2</span> : The recommender system assumes that the input is the result of classification over the whole data rather than just a part of it.
-If the confusion matrix is the result of test data classification, the recommendation is not valid.</p>
+<p><span style="color:red;">Note 2</span> : The recommendation system assumes the input is the result of classification over the entire dataset, not just a subset. If the confusion matrix is based on test data classification, the recommendation may not be valid.</p>
 <h2>Confusion Matrix : </h2>
 <table>
 <tr style="text-align:center;">
@@ -95,6 +94,6 @@ <h2>Class Statistics : </h2>
 <td style="border:1px solid black;padding:4px;border-collapse: collapse;text-align:left;">Sensitivity, recall, hit rate, or true positive rate</td>
 </tr>
 </table>
-<p style="text-align:center;border-top:1px solid black;">Generated By <a href="http://www.pycm.io" style="text-decoration:none;color:red;">PyCM</a> Version 4.0</p>
+<p style="text-align:center;border-top:1px solid black;">Generated By <a href="http://www.pycm.io" style="text-decoration:none;color:red;">PyCM</a> Version 4.1</p>
 </body>
 </html>

Document/Document_files/cm1_filtered2.html

@@ -21,8 +21,7 @@ <h2>Dataset Type : </h2>
 <li>Balanced</li>
 </ul>
 <p><span style="color:red;">Note 1</span> : Recommended statistics for this type of classification highlighted in <span style="color :aqua;">aqua</span></p>
-<p><span style="color:red;">Note 2</span> : The recommender system assumes that the input is the result of classification over the whole data rather than just a part of it.
-If the confusion matrix is the result of test data classification, the recommendation is not valid.</p>
+<p><span style="color:red;">Note 2</span> : The recommendation system assumes the input is the result of classification over the entire dataset, not just a subset. If the confusion matrix is based on test data classification, the recommendation may not be valid.</p>
 <h2>Confusion Matrix : </h2>
 <table>
 <tr style="text-align:center;">
@@ -87,6 +86,6 @@ <h2>Class Statistics : </h2>
 <td style="border:1px solid black;padding:4px;border-collapse: collapse;text-align:left;">Sensitivity, recall, hit rate, or true positive rate</td>
 </tr>
 </table>
-<p style="text-align:center;border-top:1px solid black;">Generated By <a href="http://www.pycm.io" style="text-decoration:none;color:red;">PyCM</a> Version 4.0</p>
+<p style="text-align:center;border-top:1px solid black;">Generated By <a href="http://www.pycm.io" style="text-decoration:none;color:red;">PyCM</a> Version 4.1</p>
 </body>
 </html>

Document/Document_files/cm1_no_vectors.obj

@@ -1 +1 @@
-{"Predict-Vector": null, "Prob-Vector": null, "Imbalanced": false, "Matrix": [["L1", [["L2", 0], ["L3", 2], ["L1", 3]]], ["L2", [["L2", 1], ["L3", 1], ["L1", 0]]], ["L3", [["L2", 2], ["L3", 3], ["L1", 0]]]], "Digit": 5, "Transpose": true, "Actual-Vector": null, "Sample-Weight": null}
+{"Actual-Vector": null, "Predict-Vector": null, "Prob-Vector": null, "Transpose": true, "Digit": 5, "Sample-Weight": null, "Matrix": [["L1", [["L1", 3], ["L2", 0], ["L3", 2]]], ["L2", [["L1", 0], ["L2", 1], ["L3", 1]]], ["L3", [["L1", 0], ["L2", 2], ["L3", 3]]]], "Imbalanced": false}

Document/Document_files/cm1_normalized.html

@@ -21,8 +21,7 @@ <h2>Dataset Type : </h2>
 <li>Balanced</li>
 </ul>
 <p><span style="color:red;">Note 1</span> : Recommended statistics for this type of classification highlighted in <span style="color :aqua;">aqua</span></p>
-<p><span style="color:red;">Note 2</span> : The recommender system assumes that the input is the result of classification over the whole data rather than just a part of it.
-If the confusion matrix is the result of test data classification, the recommendation is not valid.</p>
+<p><span style="color:red;">Note 2</span> : The recommendation system assumes the input is the result of classification over the entire dataset, not just a subset. If the confusion matrix is based on test data classification, the recommendation may not be valid.</p>
 <h2>Confusion Matrix (Normalized): </h2>
 <table>
 <tr style="text-align:center;">
@@ -787,6 +786,6 @@ <h2>Class Statistics : </h2>
 <td style="border:1px solid black;padding:4px;border-collapse: collapse;text-align:left;">Similarity index</td>
 </tr>
 </table>
-<p style="text-align:center;border-top:1px solid black;">Generated By <a href="http://www.pycm.io" style="text-decoration:none;color:red;">PyCM</a> Version 4.0</p>
+<p style="text-align:center;border-top:1px solid black;">Generated By <a href="http://www.pycm.io" style="text-decoration:none;color:red;">PyCM</a> Version 4.1</p>
 </body>
 </html>