Machine learning project in python to predict loan approval (Part 6 of 6)

Thanks for writing this, I enjoyed it

great work

In the following code\n\n------------------------------------------------------------------------------------------------------------\nCODE\n------------------------------------------------------------------------------------------------------------\nmodel = LogisticRegression()\nmodel.fit(x_train,y_train)\npredictions = model.predict(x_test)\nprint(accuracy_score(y_test, predictions))\n------------------------------------------------------------------------------------------------------------\n------------------------------------------------------------------------------------------------------------\n\n\n------------------------------------------------------------------------------------------------------------\nERROR\n------------------------------------------------------------------------------------------------------------\nValueError Traceback (most recent call last)\n in ()\n 1 model = LogisticRegression()\n----> 2 model.fit(x_train,y_train)\n 3 predictions = model.predict(x_test)\n 4 print(accuracy_score(y_test, predictions))\n\n~AppDataLocalContinuumanaconda3libsite-packagessklearnlinear_modellogistic.py in fit(self, X, y, sample_weight)\n 1215 X, y = check_X_y(X, y, accept_sparse='csr', dtype=_dtype,\n 1216 order="C")\n-> 1217 check_classification_targets(y)\n 1218 self.classes_ = np.unique(y)\n 1219 n_samples, n_features = X.shape\n\n~AppDataLocalContinuumanaconda3libsite-packagessklearnutilsmulticlass.py in check_classification_targets(y)\n 170 if y_type not in ['binary', 'multiclass', 'multiclass-multioutput',\n 171 'multilabel-indicator', 'multilabel-sequences']:\n--> 172 raise ValueError("Unknown label type: %r" % y_type)\n 173 \n 174 \n\nValueError: Unknown label type: 'unknown'\n------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Thanks so much for sharing these three projects! I enjoyed working on them and learnt the basics.

I was looking for the hyperlinks for the texts in Next steps. Are those tasks for us?

Thanks.

Without approval status, how can I label data? Any suggestions or tutorial?

I'm getting an error while training the data

ValueError Traceback (most recent call last)

<ipython-input-16-5fd6998833ff> in <module>

1 model = LogisticRegression()

----> 2 model.fit(x_train,y_train)

3 predictions = model.predict(x_test)

4 print(accuracy_score(y_test, predictions))

~anaconda3libsite-packagessklearnlinear_model\_logistic.py in fit(self, X, y, sample_weight)

1343 order="C",

1344 accept_large_sparse=solver != 'liblinear')

-> 1345 check_classification_targets(y)

1346 self.classes_ = np.unique(y)

1347

~anaconda3libsite-packagessklearnutilsmulticlass.py in check_classification_targets(y)

170 if y_type not in ['binary', 'multiclass', 'multiclass-multioutput',

171 'multilabel-indicator', 'multilabel-sequences']:

--> 172 raise ValueError("Unknown label type: %r" % y_type)

173

174

ValueError: Unknown label type: 'unknown'