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	49	7	7	Particles in Cell=50.0	2.4	gtcmpi	empirical	2.4	1	0.8163856209125934	0.0093532466230952	0.0029603056179293	0.1364423976158462	0.0323212656357823	0.0	0.0022498606457097	0.003061663275096	0.0336046048512066	0.8731926140596425	0.0077023372585087	0.0002839185323992	7.76999015065e-05	0.0191529447499631	0.0009697490684751	0.2586673438537757	0.3940277793844943	0.0174367873532991	0.0008347165032469	0.0008347165032469	0.0	0.0174981973997153	0.0008291342679363	8.06592975899e-05	0.0531195158159826	0.0	0.3522695679308172	0.0091912072550906	0.0	0.994057789621152	0.2588781001182043	0.0001661472050349	1.57679262625e-05	0.0096505394795461	0.0	7.1242576183e-06	0.0	0.0184583849807958	0.2439519160374921	0.0765218158804433	4.520174683e-07	4.479123976e-07	0.0	4.2574796859e-10	302.8674	110.9163	93.2598	7	7	219284116161.941074642