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	5	1	5	Particles in Cell=50.0	2.4	gtcmpi	empirical	2.4	1	0.8934375028915694	0.0076413615614368	0.0028872487744821	0.149211252664925	0.0374873665607091	0.0	0.0017083304438894	0.0032787524396918	0.0377982157836836	0.9419677724448892	0.002741700549245	0.0001472940434957	5.30206856721e-05	0.0192171884004526	0.0007870116332482	0.2875779930245357	0.3526796017450895	0.0160669969526409	0.0007807904305896	0.0007807904305896	0.0	0.0158390083586096	0.0007847906669004	7.54305232306e-05	0.0543102492863926	0.0	0.3875420407574366	0.0074414913367788	0.0	0.9954262940831576	0.2858677528064073	0.0001570550057797	0.0057821790400624	0.0107782854576756	0.0	4.8528061168e-06	0.0	0.0160517518053621	0.2676169454588125	0.0823935076930485	3.671702101e-07	4.707785711e-07	0.0	4.2272881665e-10	292.705	107.3237	90.7525	1	5	192567243570.240292489