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	64	8	8	Particles in Cell=50.0	2.8	gtcmpi	empirical	2.8	1	0.7869580288455764	0.0088725436806311	0.0026550661154081	0.1233945796291149	0.0343337313409067	0.0	0.0022336043189419	0.0027997523996494	0.0383549984239651	0.8335134829028953	0.0048508691797101	0.0002662214388733	6.84517057593e-05	0.0208602251715053	0.0009264213506411	0.234265181613485	0.4280855817662623	0.0164577018113548	0.0007818843862678	0.0007818843862678	0.0	0.0164936474249384	0.0007852081378298	7.85884984474e-05	0.0565521641234052	0.0	0.3445169081655603	0.0088086368891519	0.0	0.9939794955295652	0.2325660578229356	0.0001577625535774	2.24746073314e-05	0.0088226439819218	0.0	1.00416344628e-05	0.0	0.0174330200311056	0.2353302777102822	0.0761233827733035	4.02969116e-07	3.766012699e-07	0.0	3.649378306e-10	330.5326	136.2674	94.8292	8	8	247215973338.994250052