def METHOD_NAME(rmse_evals, rmsle_evals, py_rmsle_evals):
    fig, axs = plt.subplots(3, 1)
    ax0: matplotlib.axes.Axes = axs[0]
    ax1: matplotlib.axes.Axes = axs[1]
    ax2: matplotlib.axes.Axes = axs[2]
    x = np.arange(0, kBoostRound, 1)
    ax0.plot(x, rmse_evals['dtrain']['rmse'], label='train-RMSE')
    ax0.plot(x, rmse_evals['dtest']['rmse'], label='test-RMSE')
    ax0.legend()
    ax1.plot(x, rmsle_evals['dtrain']['rmsle'], label='train-native-RMSLE')
    ax1.plot(x, rmsle_evals['dtest']['rmsle'], label='test-native-RMSLE')
    ax1.legend()
    ax2.plot(x, py_rmsle_evals['dtrain']['PyRMSLE'], label='train-PyRMSLE')
    ax2.plot(x, py_rmsle_evals['dtest']['PyRMSLE'], label='test-PyRMSLE')
    ax2.legend()