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	320	320	1	number of iterations=50000.0, Local data size (MB)=32.0	2.301	hdc-ins	empirical	2.301	1	0.9483696625553064	0.0141740673817744	0.0133572729659515	0.0	0.0064089197636225	0.4238122229327068	0.1416226866802775	0.0	0.0044976172094568	0.0	0.0159013485482998	0.0069089672646739	0.0202791602390565	0.0852033651838015	0.0501425642033586	0.0	0.0259316253554006	0.0222599613003288	0.6281283292904201	0.014193862359731	0.0081420955004001	0.0152204658036993	0.0142350970113434	0.0065775324673319	0.0156330201681826	0.0	0.0	1.82087543975e-05	0.0	0.0	0.0	0.1457050984611972	0.0243150292009784	0.0	4.6347148161e-06	3.902624726e-07	0.0	5.1642259591e-06	0.0132944174626835	1.56467439289e-05	1.74526898695e-05	0.0	0.0019796652027404	4.406595979e-10	330.092163	251.535465	62.310263	320	1	3290359131878.107675276