值错误：错误的输入形状（25000，0）

Question

我正在尝试将朴素高斯拟合到数据集中。代码如下：

import pandas as pd
import numpy as np
from sklearn.naive_bayes import GaussianNB
df = pd.read_csv('train_data.csv')
X = df.iloc[:,0:23]
X
Y = df.iloc[:,24:25]


clf = GaussianNB()
clf.fit(X, Y)

这就是数据的样子

^{pr2}$

默认的“下一个月”是目标变量。这是一个二元分类问题。Y包含最后一列。但它给出了一个错误：

ValueError                                Traceback (most recent call last)
<ipython-input-24-d9885fbe19e4> in <module>()
      3 
      4 clf = GaussianNB()
----> 5 clf.fit(X, Y)
      6 
      7 

/home/fatima/anaconda2/lib/python2.7/site-packages/sklearn/naive_bayes.pyc in fit(self, X, y, sample_weight)
    180             Returns self.
    181         """
--> 182         X, y = check_X_y(X, y)
    183         return self._partial_fit(X, y, np.unique(y), _refit=True,
    184                                  sample_weight=sample_weight)

/home/fatima/anaconda2/lib/python2.7/site-packages/sklearn/utils/validation.pyc in check_X_y(X, y, accept_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, multi_output, ensure_min_samples, ensure_min_features, y_numeric, warn_on_dtype, estimator)
    524                         dtype=None)
    525     else:
--> 526         y = column_or_1d(y, warn=True)
    527         _assert_all_finite(y)
    528     if y_numeric and y.dtype.kind == 'O':

/home/fatima/anaconda2/lib/python2.7/site-packages/sklearn/utils/validation.pyc in column_or_1d(y, warn)
    560         return np.ravel(y)
    561 
--> 562     raise ValueError("bad input shape {0}".format(shape))
    563 
    564 

ValueError: bad input shape (25000, 0)

Answer 1

我要做的就是把声明改成

Y = df.iloc[:,-1]

而且成功了