とValueError：float型に文字列を変換できませんでした：のpythonでロジスティック回帰を行うには「ステータス」

Question

が、これは以下の私のコードです：

インポートデータセット：Facebook Metrics

# Load dataset 
url = "dataset_Facebook.csv" 
dataset1 = pandas.read_csv(url, sep = ";", header = 0) 


# Split-out validation dataset 
array = dataset1.values 
X = array[:,0:4] 
Y = array[:,4] 
validation_size = 0.20 
seed = 7 
X_train, X_validation, Y_train, Y_validation = model_selection.train_test_split(X, Y, test_size=validation_size, random_state=seed) 


# Test options and evaluation metric 
seed = 7 
scoring = 'accuracy' 


# Spot Check Algorithms 
models = [] 
models.append(('LR', LogisticRegression())) 
models.append(('LDA', LinearDiscriminantAnalysis())) 
models.append(('KNN', KNeighborsClassifier())) 
models.append(('CART', DecisionTreeClassifier())) 
models.append(('NB', GaussianNB())) 
models.append(('SVM', SVC())) 
# evaluate each model in turn 
results = [] 
names = [] 
for name, model in models: 
    kfold = model_selection.KFold(n_splits=10, random_state=seed) 
    cv_results = np.log10(model_selection.cross_val_score(model, X_train, Y_train, cv=kfold, scoring=scoring)) 
    results.append(cv_results) 
    names.append(name) 
    msg = "%s: %f (%f)" % (name, cv_results.mean(), cv_results.std()) 
    print(msg) 

プログラムをコンパイルする場合、私が手エラーのこれらのセット：

Traceback (most recent call last): 
    File "/Users/ernestsoo/Desktop/WESTWORLD (Season 01) DUB 720/Assignment2.JackyTen.ErnestSoo/assignment2.py", line 93, in <module> 
    cv_results = np.log10(model_selection.cross_val_score(model, X_train, Y_train, cv=kfold, scoring=scoring)) 
    File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/model_selection/_validation.py", line 140, in cross_val_score 
    for train, test in cv_iter) 
    File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/externals/joblib/parallel.py", line 758, in __call__ 
    while self.dispatch_one_batch(iterator): 
    File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/externals/joblib/parallel.py", line 608, in dispatch_one_batch 
    self._dispatch(tasks) 
    File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/externals/joblib/parallel.py", line 571, in _dispatch 
    job = self._backend.apply_async(batch, callback=cb) 
    File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/externals/joblib/_parallel_backends.py", line 109, in apply_async 
    result = ImmediateResult(func) 
    File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/externals/joblib/_parallel_backends.py", line 326, in __init__ 
    self.results = batch() 
    File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/externals/joblib/parallel.py", line 131, in __call__ 
    return [func(*args, **kwargs) for func, args, kwargs in self.items] 
    File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/externals/joblib/parallel.py", line 131, in <listcomp> 
    return [func(*args, **kwargs) for func, args, kwargs in self.items] 
    File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/model_selection/_validation.py", line 238, in _fit_and_score 
    estimator.fit(X_train, y_train, **fit_params) 
    File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/linear_model/logistic.py", line 1173, in fit 
    order="C") 
    File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/utils/validation.py", line 521, in check_X_y 
    ensure_min_features, warn_on_dtype, estimator) 
    File "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/utils/validation.py", line 382, in check_array 
    array = np.array(array, dtype=dtype, order=order, copy=copy) 
ValueError: could not convert string to float: 'Status' 

それはデータ型の問題のように思えるので、私はfloatにデータセットから値を解析してみました：

array = float(dataset1.values) 

しかし、これは機能しません。

どうすればこの問題を解決できますか？

Answer 1

ValueError: could not convert string to float: 'Status'

このエラーは、あなたのコードは文字列「ステータス」を変換しようとしているいくつかの点でをフロートすることを意味します。データを浮動させても問題は解決しません。問題は、あなたのコードが実行すべきではないものをキャストしようとしていることです。

このコードを実行すると、float("Hello")はValueError: could not convert string to float: 'Hello'になります。エラー情報を使用してコードをデバッグします。 "ステータス"文字列が浮動小数点が予測される場所に指定されている場所を探してみてください。

は、それはあなたがあなたのコードをデバッグするために役立つことを願っています