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	768	768	1	number of iterations=50000.0, Local data size (MB)=32.0	2.301	hdc-ins	empirical	2.301	1	0.5698568376722852	0.0146122404239915	0.013448827377226	0.0	0.006370804596665	0.4628893401070818	0.1607541792491708	0.0	0.0046455937250305	0.0	0.0156285305676849	0.0066979390912071	0.0197508600153446	0.078541063822642	0.046298094884088	0.0	0.0139599831490845	0.0232183964096415	0.6697677646921182	0.0140087228350239	0.007943711585266	0.0164001454652863	0.014144879071149	0.0066761501979609	0.016400058953278	0.0	0.0	1.77476071324e-05	0.0	0.0	0.0	0.1404195157780193	0.02351917336612	0.0	7.0102646042e-06	4.154880544e-07	0.0	4.6412760585e-06	0.0127816323660169	1.618760212e-05	1.68601716263e-05	0.0	0.0017883799070745	4.4051433881e-10	328.058898	250.453171	62.073733	768	1	3476128384689.117674989