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	70	10	7	Particles in Cell=50.0	2.4	gtcmpi	empirical	2.4	1	0.804821680600475	0.0097580699492219	0.0029666017490177	0.1345685581743604	0.0323190128630265	0.0	0.0024061627174744	0.0029977115641625	0.0355254233449803	0.8681294388812518	0.0080151217008759	0.0003218061456452	8.12713833093e-05	0.0195984906764697	0.0010329095723312	0.2554920582447777	0.3993585461476738	0.0182814948715802	0.0008632747274177	0.0008632747274177	0.0	0.0181750231336169	0.0008568781740056	9.14037506344e-05	0.0539468952353127	0.0	0.3491336611872783	0.0095794000299764	0.0	0.9941111169045798	0.2553165042070801	0.0001648699228381	1.44711921077e-05	0.0096754358180356	0.0	6.9059494245e-06	0.0	0.0192452743949409	0.2424327143813135	0.0765167193964176	4.91432988e-07	4.594531777e-07	0.0	4.2529755873e-10	303.3312	113.6032	92.8247	10	7	221763767658.671695475