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
	HDC1	ANL BGQ Mira	1024	1024	1	number of iterations=50000.0, Local data size (MB)=1.0	1.6	hdc-ins	empirical	1.6	1	0.2978296323440711	0.0	0.0	0.0036053611552321	0.0121153772444194	0.0	0.0	0.0	0.0126812220626549	0.301884397272157	0.0	0.0	0.0	9.54689426154e-05	0.000305986067089	0.0252366349823878	0.6854846059109074	0.0020508077102513	0.0081964239446067	0.0	0.0	0.0	0.0	5.51842971839e-05	0.012916543073692	0.0	0.0	0.0101920332100239	0.0	0.0	0.0252388653255665	0.0	0.0	0.0002004827023263	0.0	0.0	0.0	0.0	0.1110974616560265	0.0179785612089206	0.0	0.0	0.0	6.2574456079e-10	54.446704	34.42185	6.88297	1024	1	1024934046874.178343587