ここでエラーが出るのですが、何がいけないのでしょか?

—————————————————————————
TypeError Traceback (most recent call last)
in
1 my_tree_one = tree.DecisionTreeClassifier()
—-> 2 my_tree_one = my_tree_one.fit(features_one, target)

~\anaconda3\lib\site-packages\sklearn\tree\_classes.py in fit(self, X, y, sample_weight, check_input, X_idx_sorted)
888 “””
889
–> 890 super().fit(
891 X, y,
892 sample_weight=sample_weight,

~\anaconda3\lib\site-packages\sklearn\tree\_classes.py in fit(self, X, y, sample_weight, check_input, X_idx_sorted)
154 check_X_params = dict(dtype=DTYPE, accept_sparse=”csc”)
155 check_y_params = dict(ensure_2d=False, dtype=None)
–> 156 X, y = self._validate_data(X, y,
157 validate_separately=(check_X_params,
158 check_y_params))

~\anaconda3\lib\site-packages\sklearn\base.py in _validate_data(self, X, y, reset, validate_separately, **check_params)
427 # 🙁
428 check_X_params, check_y_params = validate_separately
–> 429 X = check_array(X, **check_X_params)
430 y = check_array(y, **check_y_params)
431 else:

~\anaconda3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args, **kwargs)
71 FutureWarning)
72 kwargs.update({k: arg for k, arg in zip(sig.parameters, args)})
—> 73 return f(**kwargs)
74 return inner_f
75

~\anaconda3\lib\site-packages\sklearn\utils\validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)
597 array = array.astype(dtype, casting=”unsafe”, copy=False)
598 else:
–> 599 array = np.asarray(array, order=order, dtype=dtype)
600 except ComplexWarning:
601 raise ValueError(“Complex data not supported\n”

~\anaconda3\lib\site-packages\numpy\core\_asarray.py in asarray(a, dtype, order)
83
84 “””
—> 85 return array(a, dtype, copy=False, order=order)
86
87

TypeError: float() argument must be a string or a number, not ‘method’