Since the introduction and the public availability of the ucr time series benchmark data sets, numerous Time Series Classification (TSC) methods has been designed, evaluated and compared to each others. We suggest a critical view of TSC performance evaluation protocols put in place in recent TSC literature. The main goal of this "position" paper is to stimulate discussion and reflexion about performance evaluation in TSC literature.