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import matplotlib as mpl

import numpy as np

import pandas as pd

import seaborn as sns

import sklearn as sk

import tensorflow as tf

import xgboost as xgb

X_full = pd.read_csv('../input/30-days-of-ml/train.csv', index_col=0)
X_test_full = pd.read_csv('../input/30-days-of-ml/test.csv', index_col=0)

result_df = pd.DataFrame({'Actual': y_valid, 'Predicted': preds_valid, 'Diff': preds_valid - y_valid})
result_df['Diff'].round().value_counts()