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
	gtcmpi	systemg	35	7	5	Particles in Cell=50.0	2.4	gtcmpi	empirical	2.4	1	0.8465165175845573	0.0088269600385543	0.0030734881899571	0.144423268571465	0.0316904584198647	0.0	0.0021417698435728	0.0031219152990347	0.0326826688884516	0.8951603604879355	0.0085880384573834	0.0002846577268127	6.7310582027e-05	0.0174095781817529	0.0009456016688917	0.2725735725316851	0.3929084004412454	0.0166052088767394	0.000828876781159	0.000828876781159	0.0	0.0166623740230298	0.0008309678028751	8.07820754057e-05	0.0497903601351081	0.0	0.3738309393356291	0.0086806499316103	0.0	0.9943057654342942	0.2737534021144782	0.0001699134349337	0.0052147064196603	0.0103717777786907	0.0	5.4428638378e-06	0.0	0.0177406774420574	0.2547627866668152	0.0801657511010533	5.189844364e-07	4.784528116e-07	0.0	4.2528335009e-10	291.2093	106.6198	91.7058	7	5	203332573404.766653558