Learning module Predicting Seagrass Habitats With Machine Learning: I'm getting the following Python error trying to train the random forest classifier

BrianOrt

Here's where I am in the module:

Train your random forest classifier

Now that you have split your data, you'll train your random forest classifier using the training data you have created.

1. Create the variable rfco to show the results of running the RandomForestClassifier command to create 500 trees. Then use the .fit argument to apply the forest results to the training data.
   rfco = RandomForestClassifier(n_estimators = <SPAN class="" style="color: #1c00cf;">500</SPAN>, oob_score = <SPAN class="" style="color: #aa0d91;">True</SPAN>) rfco.fit(train_set[predictVars], indicator)

2. Run the classification again using the test dataset. Create the attribute seagrassPred to store this data with a 1 for occurrence and a 0 for no occurrence.

   The test data is 90 percent of the United States coastal data that was not used to train the model, and will show the accuracy of your prediction.

   seagrassPred = rfco.predict(test_set[predictVars])

3. Use the results of the classification to check the efficiency of the model by calculating prediction accuracy and estimation error.
   Here's the last few entries in my Python log:
   
   test_set = data.drop(train_set.index)
   indicator, _ = PD.factorize(train_set[classVar[0]])
   print('Training Data Size = ' + str(train_set.shape[0]))print('Test Data Size = ' + str(test_set.shape[0]))
   Training Data Size = 1000
   Test Data Size = 9000
   rfco = RandomForestClassifier(n_estimators = 500, oob_score = True)rfco.fit(train_set[predictVars], indicator)
   seagrassPred = rfco.predict(test_set[predictVars])
   test_seagrass = test_set[classVar].as_matrix()test_seagrass = test_seagrass.flatten()error = NUM.sum(NUM.abs(test_seagrass - seagrassPred))/len(seagrassPred) * 100
   Traceback (most recent call last):
     File "<string>", line 1, in <module>
     File "C:\Users\brian\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone\lib\site-packages\pandas\core\generic.py", line 5274, in __getattr__
       return object.__getattribute__(self, name)
   AttributeError: 'DataFrame' object has no attribute 'as_matrix'
   
   I'm concerned it might be a file path problem that I can't do anything about. 
   I'm working in ArcPro from a Windows server 2012R2, so the actual file path to Documents may differ from what it would be on a stand-alone machine.
   I'm new to Python but can sort of follow along.
   
   Kathy Cappelli‌ I saw on a related thread that you're the person responsible for this cool module.test_seagrass = test_set[classVar].as_matrix() test_seagrass = test_seagrass.flatten() error = NUM.sum(NUM.abs(test_seagrass - seagrassPred))/len(seagrassPred) * <SPAN class="" style="color: #1c00cf;">100
   -------
   </SPAN>

BrianOrt

Follow-up: I replaced the .as_matrix method with .to_numpy and got... a result. The accuracy estimates were exactly opposite of what they were supposed to have been using .as_matrix, so I would take a wild guess to say that .to_numpy might have reversed two columns in the matrix. By the end of the learning module, my map looked "right." Still, I'd like to know what happened between .as_matrix and .to_numpy.