I am not able Training models in sklearn (scikit-learn) using python - machine-learning

Question

i have data file it contain data to predict the admission in MS.
it contain 9 column 8 column contain student data and 9th column contain chance of selection of student.
i am new and i don't understand error come in training model
import pandas
import numpy as np
import sklearn as sl
from sklearn.neural_network import MLPClassifier
classifier = MLPClassifier()
data = pandas.read_csv('Addmition.csv')
data_array = np.array(data)
X = data_array[:,1:8]
y = data_array[:,8]
classifier.fit(X,y)
print(classifier)
Traceback (most recent call last):
File "c.py", line 14, in <module>
classifier.fit(X,y)
File "C:\Users\vishal jangid\AppData\Roaming\Python\Python37\site-packages\sklearn\neural_network\multilayer_perceptron.py", line 977, in fit
hasattr(self, "classes_")))
File "C:\Users\vishal jangid\AppData\Roaming\Python\Python37\site-packages\sklearn\neural_network\multilayer_perceptron.py", line 324, in _fit
X, y = self._validate_input(X, y, incremental)
File "C:\Users\vishal jangid\AppData\Roaming\Python\Python37\site-packages\sklearn\neural_network\multilayer_perceptron.py", line 920, in _validate_input
self._label_binarizer.fit(y)
File "C:\Users\vishal jangid\AppData\Roaming\Python\Python37\site-packages\sklearn\preprocessing\label.py", line 413, in fit
self.classes_ = unique_labels(y)
File "C:\Users\vishal jangid\AppData\Roaming\Python\Python37\site-packages\sklearn\utils\multiclass.py", line 96, in unique_labels
raise ValueError("Unknown label type: %s" % repr(ys))
ValueError: Unknown label type: (array

Answer 1

Try this:
import numpy as np
import sklearn as sl
from sklearn.neural_network import MLPRegressor
classifier = MLPRegressor()
data = pandas.read_csv('Addmition.csv')
data_array = np.array(data)
X = data_array[:,1:8]
y = data_array[:,8]
classifier.fit(X,y)
print(classifier)
Explanation:
In machine learning we may have two types of problems:
1) Classification:
Ex: Predict if a person is male or female. (discrete)
2) Regression:
Ex: Predict the age of the person. (continuous)
With this in hand we are going to see your problem, your label (chance of selection) is continous, thus we have a regression problem.
See that you are using the MLPClassifier, resulting in the 'Unknown label error'.
Try using the MLPRegressor.