GridSearchCV error "Too many indices in the array"

Question

I am using a supervised learning algorithm Random Forest classifier for training the data.

    clf = RandomForestClassifier(n_estimators=50, n_jobs=3, random_state=42)

Different parameter in the grid are:

    param_grid = { 
    'n_estimators': [200, 700],
    'max_features': ['auto', 'sqrt', 'log2'],
    'max_depth': [5,10],
    'min_samples_split': [5,10]
    }

Classifier "clf" and parameter grid "param_grid" are passed in the GridSearhCV method.

    clf_rfc = GridSearchCV(estimator=clf, param_grid=param_grid)

When I fit the features with labels using

    clf_rfc.fit(X_train, y_train)

I get the error "Too many indices in the array". Shape of X_train is (204,3) and of y_train is (204,1).

Tried with the option clf_rfc.fit(X_train.values, y_train.values) but could not get rid of the error.

Any suggestions would be appreciated !!

Answer 1

As mentioned in previous post the problems appears to be in y_train which dimensions are (204,1). I think this is the problem instead of (204,1) should be (204,), click here for more info.

So if you rewrite y_train everything should be fine:

c, r = y_train.shape
y_train = y_train.reshape(c,)

If it gives as error such as: AttributeError: 'DataFrame' object has no attribute 'reshape' then try:

c, r = y_train.shape
y_train = y_train.values.reshape(c,)

Answer 2

The shape of the 'y-train' dataframe is not correct. Try this:

clf_rfc.fit(X_train, y_train[0].values)

OR

clf_rfc.fit(X_train, y_train.values.ravel())