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	832	832	1	number of iterations=50000.0, Local data size (MB)=32.0	2.301	hdc-ins	empirical	2.301	1	0.9364206222809331	0.0136068557456368	0.0129056253187675	0.0	0.0061972251177908	0.3625197194659802	0.1164902354545869	0.0	0.0042688264087023	0.0	0.0151530092755088	0.0067215873548147	0.0197124623335724	0.0656765778627784	0.0389658456710211	0.0	0.0320016441669491	0.0228069913224164	0.709035488464685	0.014116006410465	0.0079127956806304	0.0163339543482312	0.0138857232988449	0.0063886401607057	0.0153744732233185	0.0	0.0	1.76031282401e-05	0.0	0.0	0.0	0.1080289369818375	0.0234590735293238	0.0	4.45182970802e-05	5.423621183e-07	0.0	4.032142586e-06	0.0135772521427991	1.23785270322e-05	1.7904175941e-05	0.0	0.0015569010986667	4.4005013238e-10	329.7344	252.395221	61.775829	832	1	3518596603131.875190097