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	32	32	1	number of iterations=50000.0, Local data size (MB)=32.0	2.301	hdc-ins	empirical	2.301	1	0.689394540139908	0.0193487277038643	0.011992457663135	0.0	0.0060439724225552	0.3968146855313783	0.0908546408108925	0.0	0.0054411958305394	0.0	0.0111002425624364	0.0067355857152016	0.0165399717702126	0.090322962022319	0.0500577385592438	0.0	0.0545439284518347	0.0306650061328123	0.7375864843205242	0.0196991229051729	0.008480273472174	0.0150122432338239	0.019942257020252	0.0121697948058126	0.0174578116884825	0.0	0.0	1.68919371663e-05	0.0	0.0	0.0	0.1173630012975949	0.0256627023928045	0.0	3.47059617683e-05	2.370200242e-07	0.0	5.6929690178e-06	0.0101315180157235	1.38699811474e-05	1.51412660061e-05	0.0	0.0019018839879235	4.4099948166e-10	334.004071	253.38281	65.049545	32	1	3174975643348.92284236