Hi,
I'm trying to run the below code but receiving "ValueError("bad input shape {0}".format(shape))" error. Can someone please help me resolve this issue? Note: The dataset has 5 rows.https://github.com/SuryaCitizen/Data
I'm trying to run the below code but receiving "ValueError("bad input shape {0}".format(shape))" error. Can someone please help me resolve this issue? Note: The dataset has 5 rows.https://github.com/SuryaCitizen/Data
#Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd #Importing the dataset dataset = pd.read_csv('Lingard.csv') X = dataset.iloc[:, :-2].values y = dataset.iloc[:, 7:9].values print(dataset.head()) #Splitting the dataset into the Training set and Test set from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3, random_state = 0) print(X_train) print(X_test) print(y_train) print(y_test) #Feature Scaling from sklearn.preprocessing import StandardScaler sc_X = StandardScaler() sc_y = StandardScaler() X_train = sc_X.fit_transform(X_train) y_train = sc_y.fit_transform(y_train) #Training the SVR model on the Training set from sklearn.svm import SVR regressor = SVR(kernel = 'rbf') regressor.fit(X_train, y_train) #Predicting the Test set results y_pred = sc_y.inverse_transform(regressor.predict(sc_X.transform(X_test))) np.set_printoptions(precision=2) print(np.concatenate((y_pred.reshape(len(y_pred),2), y_test.reshape(len(y_test),2)),1)) #Evaluating the Model Performance from sklearn.metrics import r2_score r2_score(y_test, y_pred)