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	50	10	5	Particles in Cell=50.0	2.4	gtcmpi	empirical	2.4	1	0.8378731935949839	0.0091893854787145	0.0030790509636881	0.1422627895584282	0.0316623640170043	0.0	0.0022978122039114	0.0030796890504039	0.0299809918033804	0.884542243993146	0.0086900159491497	0.0003298962543958	6.90512237087e-05	0.0181180073681806	0.0009919732768388	0.2692994670317246	0.3946223372070869	0.0174487296635868	0.0008453677224387	0.0008453677224387	0.0	0.0173070130295347	0.0008337039793231	8.62410032922e-05	0.0501528728389986	0.0	0.3703411458282817	0.0090341873405888	0.0	0.9939251180063684	0.2702904223623205	0.0001887318372851	0.0056700555218004	0.0101905204081274	0.0	5.4227111822e-06	0.0	0.0184488153609995	0.2525194565106848	0.0795215301528651	5.269331019e-07	4.862082396e-07	0.0	4.2572799504e-10	291.9172	106.3195	91.031	10	5	206668741602.800281752