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
	Heat Distribution Code	SNL Haswell Shepard	960	960	1	number of iterations=50000.0, Local data size (MB)=32.0	2.301	hdc-ins	empirical	2.301	1	0.9301736037057478	0.0135000508498798	0.01262288356802	0.0	0.0061919692643265	0.2359898491349132	0.0606925083737756	0.0	0.004193662146952	0.0	0.0155070798886478	0.0065383043571061	0.0194710458387201	0.090399580941756	0.0530068864870024	0.0	0.0361344641556003	0.0193286328041454	0.640710939765858	0.0133569934645323	0.0078923686876189	0.0147646954137913	0.0135942087313982	0.0061754961931469	0.0154617736806163	0.0	0.0	1.61622787154e-05	0.0	0.0	0.0	0.0889739705070836	0.0232835933965974	0.0	1.707175228e-05	5.506395074e-07	0.0	4.0015813185e-06	0.0123794631385921	1.58907549771e-05	1.9380020712e-05	0.0	0.0018239064542249	4.4042014236e-10	328.852252	251.821805	61.511554	960	1	3492916420118.110966772