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	704	704	1	number of iterations=50000.0, Local data size (MB)=32.0	2.301	hdc-ins	empirical	2.301	1	0.7310887743353955	0.0139372515201445	0.0135281402927936	0.0	0.006285387964406	0.1943755742022246	0.0414907170453648	0.0	0.0042972887125909	0.0	0.0154110911333933	0.0067613986861685	0.0196678990325824	0.073159310983216	0.0432340601966639	0.0	0.0359828011140674	0.0223038651230797	0.6884184100712228	0.014022557706272	0.0079268575565493	0.0164958184459025	0.0135992299101143	0.006227869724049	0.0167498688888022	0.0	0.0	1.68070980115e-05	0.0	0.0	0.0	0.1202838130137187	0.0236156772412015	0.0	9.0338841506e-06	5.411050995e-07	0.0	5.1200769163e-06	0.0133943769629369	1.51509743836e-05	1.72475271629e-05	0.0	0.001791087077763	4.4054677829e-10	331.776088	254.551395	61.668317	704	1	3456803610983.456001612