Create Training Set

Model Title

Train	application_name	system_name	processors	num_mpi	num_omppn	input	frequency	executable_name	scenario	frequency	papi_tot_cyc	papi_tot_ins	papi_l1_tcm	papi_l2_tcm	papi_fml_ins	papi_br_tkn	papi_l2_ldm	papi_l2_stm	papi_fdv_ins	papi_br_cn	papi_tot_iis	papi_ca_shr	papi_ca_cln	papi_ca_itv	papi_br_ntk	papi_br_msp	papi_fp_ins	papi_res_stl	papi_l1_ldm	papi_l1_stm	papi_l2_tcw	papi_l2_dca	papi_l2_dcr	papi_l2_dcw	papi_l1_icm	papi_br_ins	papi_l1_dch	papi_l1_dca	papi_l1_dcm	papi_l1_tca	papi_l1_ica	papi_fp_ops	papi_l2_ica	papi_tlb_dm	papi_vec_ins	papi_l2_dcm	papi_l2_icm	papi_l2_tch	papi_l2_tca	papi_ld_ins	papi_sr_ins	papi_tlb_im	papi_hw_int	papi_l3_tcm	nruntime	power_sys	power_cpu	power_mem	num_mpi	num_omppn	scaling_factor
	Heat Distribution Code	SNL Haswell Shepard	384	384	1	number of iterations=50000.0, Local data size (MB)=32.0	2.301	hdc-ins	empirical	2.301	1	0.8725180555885796	0.014067180273697	0.0131722150545421	0.0	0.006496400218884	0.3689741364160605	0.1180123683580219	0.0	0.0047965624242186	0.0	0.0157612070291254	0.0070471992612698	0.0202187061521093	0.0812853636616921	0.0478893686859153	0.0	0.0327877843624062	0.0209017358581087	0.5709302214047073	0.0142522981283222	0.0080685272197676	0.0158646810136942	0.0142246403244773	0.0066892075545197	0.0168653353960606	0.0	0.0	1.72817081948e-05	0.0	0.0	0.0	0.1326739050037965	0.0241671303121732	0.0	4.07611637105e-05	3.259440562e-07	0.0	4.3938539324e-06	0.0129828714458456	1.5910449447e-05	1.58614662691e-05	0.0	0.0018785550474801	4.4039570176e-10	330.672901	252.486005	61.976438	384	1	3345045767051.584404637