Question

#DECISION TREE import pandas as pd from sklearn.tree import DecisionTreeClassifier # Import Decision Tree Classifier from sklearn.model_selection import train_test_split # Import train_test_split function from sklearn import metrics #Import scikit-learn metrics module for accuracy calculation clf = DecisionTreeClassifier() # Train Decision Tree Classifer clf = clf.fit(x_train,y_train) #Predict the response for test dataset y_pred = clf.predict(X_test) ValueError <ipython-input-240-dc549570d086> in <module>() 9 10 # Train Decision Tree Classifer --> 11 clf = clf.fit(x_train,y_train) 12 13 #Predict the response for test dataset Traceback (most recent call last) 2 frames /usr/local/lib/python3.7/dist-packages/sklearn/utils/multiclass.py in check_classification_targets(y) 195 196 197 raise ValueError("Unknown label type: %r" % y_type) 198 199 ValueError: Unknown label type: 'continuous'

          #DECISION TREE
import pandas as pd
from sklearn.tree import DecisionTreeClassifier # Import Decision Tree Classifier
from sklearn.model_selection import train_test_split # Import train_test_split function
from sklearn import metrics #Import scikit-learn metrics module for accuracy calculation

clf = DecisionTreeClassifier()
# Train Decision Tree Classifer
clf = clf.fit(x_train,y_train)
#Predict the response for test dataset
y_pred = clf.predict(X_test)

ValueError
<ipython-input-240-dc549570d086> in <module>()
     9
    10 # Train Decision Tree Classifer
--> 11 clf = clf.fit(x_train,y_train)
    12
    13 #Predict the response for test dataset

Traceback (most recent call last)

2 frames
/usr/local/lib/python3.7/dist-packages/sklearn/utils/multiclass.py in check_classification_targets(y)
    195
    196
    197     raise ValueError("Unknown label type: %r" % y_type)
    198
    199
ValueError: Unknown label type: 'continuous'

#DECISION TREE
import pandas as pd
from sklearn.tree import DecisionTreeClassifier # Import Decision Tree Classifier
from sklearn.modelselection import traintestsplit # Import traintestsplit function
from sklearn import metrics #Import scikit-learn metrics module for accuracy calculation

clf = DecisionTreeClassifier()
# Train Decision Tree Classifer
clf = clf.fit(xtrain,ytrain)
#Predict the response for test dataset
ypred = clf.predict(Xtest)

ValueError
<ipython-input-240-dc549570d086> in <module>()
9
10 # Train Decision Tree Classifer
–> 11 clf = clf.fit(xtrain,ytrain)
12
13 #Predict the response for test dataset

Traceback (most recent call last)

2 frames
/usr/local/lib/python3.7/dist-packages/sklearn/utils/multiclass.py in checkclassificationtargets(y)
195
196
197 raise ValueError("Unknown label type: %r" % ytype)
198
199
ValueError: Unknown label type: 'continuous'

Added by Jonathan S.

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