Error recieved

       Training model...
    Train on 72879 samples, validate on 12861 samples
    Epoch 1/2
    72879/72879 [==============================] - 6s - loss: 0.5490 - val_loss: 0.5488
    Epoch 2/2
    72879/72879 [==============================] - 6s - loss: 0.5435 - val_loss: 0.5556
    28581/28581 [==============================] - 0s

    ---------------------------------------------------------------------------
    ValueError                                Traceback (most recent call last)
    <ipython-input-19-e5853ce75642> in <module>()
         26         model.fit(X_train, y_train, nb_epoch=2,batch_size=256,validation_split=0.15)
         27         y_pre = model.predict_proba(X_valid)
    ---> 28         scores = roc_auc_score(y_valid,y_pre)
         29         auc_scores.append(scores)
         30         print (i,scores)

    /home/vriplab5/anaconda2/lib/python2.7/site-packages/sklearn/metrics/ranking.pyc in roc_auc_score(y_true, y_score, average, sample_weight)
        251     return _average_binary_score(
        252         _binary_roc_auc_score, y_true, y_score, average,
    --> 253         sample_weight=sample_weight)
        254
        255

    /home/vriplab5/anaconda2/lib/python2.7/site-packages/sklearn/metrics/base.pyc in _average_binary_score(binary_metric, y_true, y_score, average, sample_weight)
         77
         78     if y_type == "binary":
    ---> 79         return binary_metric(y_true, y_score, sample_weight=sample_weight)
         80
         81     check_consistent_length(y_true, y_score, sample_weight)

    /home/vriplab5/anaconda2/lib/python2.7/site-packages/sklearn/metrics/ranking.pyc in _binary_roc_auc_score(y_true, y_score, sample_weight)
        246
        247         fpr, tpr, tresholds = roc_curve(y_true, y_score,
    --> 248                                         sample_weight=sample_weight)
        249         return auc(fpr, tpr, reorder=True)
        250

    /home/vriplab5/anaconda2/lib/python2.7/site-packages/sklearn/metrics/ranking.pyc in roc_curve(y_true, y_score, pos_label, sample_weight, drop_intermediate)
        495     """
        496     fps, tps, thresholds = _binary_clf_curve(
    --> 497         y_true, y_score, pos_label=pos_label, sample_weight=sample_weight)
        498
        499     # Attempt to drop thresholds corresponding to points in between and

    /home/vriplab5/anaconda2/lib/python2.7/site-packages/sklearn/metrics/ranking.pyc in _binary_clf_curve(y_true, y_score, pos_label, sample_weight)
        290     check_consistent_length(y_true, y_score)
        291     y_true = column_or_1d(y_true)
    --> 292     y_score = column_or_1d(y_score)
        293     if sample_weight is not None:
        294         sample_weight = column_or_1d(sample_weight)

    /home/vriplab5/anaconda2/lib/python2.7/site-packages/sklearn/utils/validation.pyc in column_or_1d(y, warn)
        549         return np.ravel(y)
        550
    --> 551     raise ValueError("bad input shape {0}".format(shape))
        552
        553

    ValueError: bad input shape (28581, 2)