Error in running SVM and Logistic Regression in python


I am trying to tune the parameter between the SVM, Logistic regression, MLP and Random forest regression in the python but it shows a value error for SVM and logistic regression.
my sample data is this:

Wavelength    Phase_velocity     Shear_wave_velocity
1.50              202.69          240.73
1.68              192.72          240.73
1.79              205.54          240.73
17.08             218               229
16.73             243               269
17.72             245               269
16.72             212               253
17.26             214               253

The example code is:

from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
from sklearn.ensemble import RandomForestRegressor
import numpy as np
import pandas as pd
from sklearn.neural_network import MLPRegressor
from sklearn.model_selection import train_test_split

df = pd.read_csv("0.5-1.csv")

X = df[['wavelength', 'phase velocity']]
y = df['shear wave velocity']

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)

print (len(X_train),len(X_test),len(y_train),len(y_test))

lr = LogisticRegression(solver='liblinear',multi_class='ovr'), y_train)
print (lr.score(X_test, y_test))

svm = SVC(gamma='auto'), y_train)
print (svm.score(X_test, y_test))

mlp = MLPRegressor(hidden_layer_sizes=(50,50,50), max_iter=2000, activation='relu'),y_train)
print (mlp.score(X_test, y_test))

rf = RandomForestRegressor(n_estimators=40), y_train)
print (rf.score(X_test, y_test))

the error is this:

Traceback (most recent call last):
  File "G:My", line 23, in <module>, y_train)
  File "", line 1533, in fit
  File "", line 169, in check_classification_targets
    raise ValueError("Unknown label type: %r" % y_type)
ValueError: Unknown label type: 'continuous'

How to fix this error?

Asked By: Sadia Mitu



Since your target variable is continuous in nature, you cannot use logisticRegression, use a linearRegression or SVR instead of SVC.

from sklearn.linear_model import LinearRegression
from sklearn.svm import SVR
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